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NCHS Data buy kamagra with prescription Brief No http://2darray.net/lowest-price-kamagra/. 286, September 2017PDF Versionpdf icon (374 KB)Anjel Vahratian, Ph.D.Key findingsData from the National Health Interview Survey, 2015Among those aged 40–59, perimenopausal women (56.0%) were more likely than postmenopausal (40.5%) and premenopausal (32.5%) women to sleep less than 7 hours, on average, in a 24-hour period.Postmenopausal women aged 40–59 were more likely than premenopausal women aged 40–59 to have trouble falling asleep (27.1% compared with 16.8%, respectively), and staying asleep (35.9% compared with 23.7%), four times or more in the past week.Postmenopausal women aged 40–59 (55.1%) were more likely than premenopausal women aged 40–59 (47.0%) to not wake up feeling well rested 4 days or more in the past week.Sleep duration and quality are important contributors to health and wellness. Insufficient sleep is associated with an increased risk for chronic conditions such as cardiovascular disease buy kamagra with prescription (1) and diabetes (2). Women may be particularly vulnerable to sleep problems during times of reproductive hormonal change, such as after the menopausal transition.

Menopause is “the buy kamagra with prescription permanent cessation of menstruation that occurs after the loss of ovarian activity” (3). This data brief describes sleep duration and sleep quality among nonpregnant women aged 40–59 by menopausal status. The age range selected for this analysis reflects the focus on midlife sleep health. In this analysis, 74.2% of women are premenopausal, 3.7% are buy kamagra with prescription perimenopausal, and 22.1% are postmenopausal.

Keywords. Insufficient sleep, menopause, National Health Interview Survey Perimenopausal women were buy kamagra with prescription more likely than premenopausal and postmenopausal women to sleep less than 7 hours, on average, in a 24-hour period.More than one in three nonpregnant women aged 40–59 slept less than 7 hours, on average, in a 24-hour period (35.1%) (Figure 1). Perimenopausal women were most likely to sleep less than 7 hours, on average, in a 24-hour period (56.0%), compared with 32.5% of premenopausal and 40.5% of postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to sleep less than 7 hours, on average, in a 24-hour period.

Figure 1 buy kamagra with prescription. Percentage of nonpregnant women aged 40–59 who slept less than 7 hours, on average, in a 24-hour period, by menopausal status. United States, 2015image icon1Significant quadratic buy kamagra with prescription trend by menopausal status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was buy kamagra with prescription 1 year ago or less. Women were premenopausal if they still had a menstrual cycle. Access data buy kamagra with prescription table for Figure 1pdf icon.SOURCE.

NCHS, National Health Interview Survey, 2015. The percentage of women aged 40–59 who had trouble falling asleep four times or more in the past week varied by menopausal status.Nearly one in five nonpregnant women aged 40–59 had trouble buy kamagra with prescription falling asleep four times or more in the past week (19.4%) (Figure 2). The percentage of women in this age group who had trouble falling asleep four times or more in the past week increased from 16.8% among premenopausal women to 24.7% among perimenopausal and 27.1% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to have trouble falling asleep four times or more in the past week.

Figure 2 buy kamagra with prescription. Percentage of nonpregnant women aged 40–59 who had trouble falling asleep four times or more in the past week, by menopausal status. United States, 2015image icon1Significant linear trend by menopausal buy kamagra with prescription status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was 1 year ago or less buy kamagra with prescription. Women were premenopausal if they still had a menstrual cycle. Access data buy kamagra with prescription table for Figure 2pdf icon.SOURCE.

NCHS, National Health Interview Survey, 2015. The percentage of women aged 40–59 who had trouble staying asleep four times or more in the past week varied by menopausal status.More than one in four nonpregnant women aged 40–59 had trouble staying asleep four times or more in the past week buy kamagra with prescription (26.7%) (Figure 3). The percentage of women aged 40–59 who had trouble staying asleep four times or more in the past week increased from 23.7% among premenopausal, to 30.8% among perimenopausal, and to 35.9% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to have trouble staying asleep four times or more in the past week.

Figure 3 buy kamagra with prescription. Percentage of nonpregnant women aged 40–59 who had trouble staying asleep four times or more in the past week, by menopausal status. United States, 2015image icon1Significant linear trend buy kamagra with prescription by menopausal status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a buy kamagra with prescription menstrual cycle and their last menstrual cycle was 1 year ago or less. Women were premenopausal if they still had a menstrual cycle. Access data table for buy kamagra with prescription Figure 3pdf icon.SOURCE.

NCHS, National Health Interview Survey, 2015. The percentage of women aged 40–59 who did not wake up feeling well rested 4 days or more in the past week varied by menopausal status.Nearly one in two nonpregnant women aged 40–59 did not wake up feeling well rested 4 days or more in the past week (48.9%) (Figure 4). The percentage of women in this age group who did not wake up feeling well rested 4 days or more in the past week increased from 47.0% among buy kamagra with prescription premenopausal women to 49.9% among perimenopausal and 55.1% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to not wake up feeling well rested 4 days or more in the past week.

Figure 4 buy kamagra with prescription. Percentage of nonpregnant women aged 40–59 who did not wake up feeling well rested 4 days or more in the past week, by menopausal status. United States, 2015image icon1Significant linear trend by menopausal status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was 1 year ago or less. Women were premenopausal if they still had a menstrual cycle. Access data table for Figure 4pdf icon.SOURCE.

NCHS, National Health Interview Survey, 2015. SummaryThis report describes sleep duration and sleep quality among U.S. Nonpregnant women aged 40–59 by menopausal status. Perimenopausal women were most likely to sleep less than 7 hours, on average, in a 24-hour period compared with premenopausal and postmenopausal women.

In contrast, postmenopausal women were most likely to have poor-quality sleep. A greater percentage of postmenopausal women had frequent trouble falling asleep, staying asleep, and not waking well rested compared with premenopausal women. The percentage of perimenopausal women with poor-quality sleep was between the percentages for the other two groups in all three categories. Sleep duration changes with advancing age (4), but sleep duration and quality are also influenced by concurrent changes in women’s reproductive hormone levels (5).

Because sleep is critical for optimal health and well-being (6), the findings in this report highlight areas for further research and targeted health promotion. DefinitionsMenopausal status. A three-level categorical variable was created from a series of questions that asked women. 1) “How old were you when your periods or menstrual cycles started?.

€. 2) “Do you still have periods or menstrual cycles?. €. 3) “When did you have your last period or menstrual cycle?.

€. And 4) “Have you ever had both ovaries removed, either as part of a hysterectomy or as one or more separate surgeries?. € Women were postmenopausal if they a) had gone without a menstrual cycle for more than 1 year or b) were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they a) no longer had a menstrual cycle and b) their last menstrual cycle was 1 year ago or less.

Premenopausal women still had a menstrual cycle.Not waking feeling well rested. Determined by respondents who answered 3 days or less on the questionnaire item asking, “In the past week, on how many days did you wake up feeling well rested?. €Short sleep duration. Determined by respondents who answered 6 hours or less on the questionnaire item asking, “On average, how many hours of sleep do you get in a 24-hour period?.

€Trouble falling asleep. Determined by respondents who answered four times or more on the questionnaire item asking, “In the past week, how many times did you have trouble falling asleep?. €Trouble staying asleep. Determined by respondents who answered four times or more on the questionnaire item asking, “In the past week, how many times did you have trouble staying asleep?.

€ Data source and methodsData from the 2015 National Health Interview Survey (NHIS) were used for this analysis. NHIS is a multipurpose health survey conducted continuously throughout the year by the National Center for Health Statistics. Interviews are conducted in person in respondents’ homes, but follow-ups to complete interviews may be conducted over the telephone. Data for this analysis came from the Sample Adult core and cancer supplement sections of the 2015 NHIS.

For more information about NHIS, including the questionnaire, visit the NHIS website.All analyses used weights to produce national estimates. Estimates on sleep duration and quality in this report are nationally representative of the civilian, noninstitutionalized nonpregnant female population aged 40–59 living in households across the United States. The sample design is described in more detail elsewhere (7). Point estimates and their estimated variances were calculated using SUDAAN software (8) to account for the complex sample design of NHIS.

Linear and quadratic trend tests of the estimated proportions across menopausal status were tested in SUDAAN via PROC DESCRIPT using the POLY option. Differences between percentages were evaluated using two-sided significance tests at the 0.05 level. About the authorAnjel Vahratian is with the National Center for Health Statistics, Division of Health Interview Statistics. The author gratefully acknowledges the assistance of Lindsey Black in the preparation of this report.

ReferencesFord ES. Habitual sleep duration and predicted 10-year cardiovascular risk using the pooled cohort risk equations among US adults. J Am Heart Assoc 3(6):e001454. 2014.Ford ES, Wheaton AG, Chapman DP, Li C, Perry GS, Croft JB.

Associations between self-reported sleep duration and sleeping disorder with concentrations of fasting and 2-h glucose, insulin, and glycosylated hemoglobin among adults without diagnosed diabetes. J Diabetes 6(4):338–50. 2014.American College of Obstetrics and Gynecology. ACOG Practice Bulletin No.

141. Management of menopausal symptoms. Obstet Gynecol 123(1):202–16. 2014.Black LI, Nugent CN, Adams PF.

Tables of adult health behaviors, sleep. National Health Interview Survey, 2011–2014pdf icon. 2016.Santoro N. Perimenopause.

From research to practice. J Women’s Health (Larchmt) 25(4):332–9. 2016.Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, et al. Recommended amount of sleep for a healthy adult.

A joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society. J Clin Sleep Med 11(6):591–2. 2015.Parsons VL, Moriarity C, Jonas K, et al. Design and estimation for the National Health Interview Survey, 2006–2015.

National Center for Health Statistics. Vital Health Stat 2(165). 2014.RTI International. SUDAAN (Release 11.0.0) [computer software].

2012. Suggested citationVahratian A. Sleep duration and quality among women aged 40–59, by menopausal status. NCHS data brief, no 286.

Hyattsville, MD. National Center for Health Statistics. 2017.Copyright informationAll material appearing in this report is in the public domain and may be reproduced or copied without permission. Citation as to source, however, is appreciated.National Center for Health StatisticsCharles J.

Rothwell, M.S., M.B.A., DirectorJennifer H. Madans, Ph.D., Associate Director for ScienceDivision of Health Interview StatisticsMarcie L. Cynamon, DirectorStephen J. Blumberg, Ph.D., Associate Director for Science.

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NCHS Data Brief No kamagra pills online. 286, September 2017PDF Versionpdf icon (374 KB)Anjel Vahratian, Ph.D.Key findingsData from the National Health Interview Survey, 2015Among those aged 40–59, perimenopausal women (56.0%) were more likely than postmenopausal (40.5%) and premenopausal (32.5%) women to sleep less than 7 hours, on average, in a 24-hour period.Postmenopausal women aged 40–59 were more likely than premenopausal women aged 40–59 to have trouble falling asleep (27.1% compared with 16.8%, respectively), and staying asleep (35.9% compared with 23.7%), four times or more in the past week.Postmenopausal women aged 40–59 (55.1%) were more likely than premenopausal women aged 40–59 (47.0%) to not wake up feeling well rested 4 days or more in the past week.Sleep duration and quality are important contributors to health and wellness. Insufficient sleep is associated with an increased risk for chronic conditions such kamagra pills online as cardiovascular disease (1) and diabetes (2).

Women may be particularly vulnerable to sleep problems during times of reproductive hormonal change, such as after the menopausal transition. Menopause is “the permanent cessation of kamagra pills online menstruation that occurs after the loss of ovarian activity” (3). This data brief describes sleep duration and sleep quality among nonpregnant women aged 40–59 by menopausal status.

The age range selected for this analysis reflects the focus on midlife sleep health. In this analysis, 74.2% of women are premenopausal, 3.7% kamagra pills online are perimenopausal, and 22.1% are postmenopausal. Keywords.

Insufficient sleep, menopause, National Health Interview Survey Perimenopausal women were more likely than premenopausal and postmenopausal women to sleep less kamagra pills online than 7 hours, on average, in a 24-hour period.More than one in three nonpregnant women aged 40–59 slept less than 7 hours, on average, in a 24-hour period (35.1%) (Figure 1). Perimenopausal women were most likely to sleep less than 7 hours, on average, in a 24-hour period (56.0%), compared with 32.5% of premenopausal and 40.5% of postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to sleep less than 7 hours, on average, in a 24-hour period.

Figure 1 kamagra pills online. Percentage of nonpregnant women aged 40–59 who slept less than 7 hours, on average, in a 24-hour period, by menopausal status. United States, 2015image icon1Significant quadratic trend by menopausal status (p kamagra pills online <.

0.05).NOTES. Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle kamagra pills online was 1 year ago or less.

Women were premenopausal if they still had a menstrual cycle. Access data table kamagra pills online for Figure 1pdf icon.SOURCE. NCHS, National Health Interview Survey, 2015.

The percentage of women aged 40–59 who had trouble falling asleep four times or more in the past week varied by menopausal status.Nearly one kamagra pills online in five nonpregnant women aged 40–59 had trouble falling asleep four times or more in the past week (19.4%) (Figure 2). The percentage of women in this age group who had trouble falling asleep four times or more in the past week increased from 16.8% among premenopausal women to 24.7% among perimenopausal and 27.1% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to have trouble falling asleep four times or more in the past week.

Figure 2 kamagra pills online. Percentage of nonpregnant women aged 40–59 who had trouble falling asleep four times or more in the past week, by menopausal status. United States, 2015image icon1Significant linear kamagra pills online trend by menopausal status (p <.

0.05).NOTES. Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were kamagra pills online perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was 1 year ago or less.

Women were premenopausal if they still had a menstrual cycle. Access data kamagra pills online table for Figure 2pdf icon.SOURCE. NCHS, National Health Interview Survey, 2015.

The percentage of women aged 40–59 who had trouble staying asleep four times or kamagra pills online more in the past week varied by menopausal status.More than one in four nonpregnant women aged 40–59 had trouble staying asleep four times or more in the past week (26.7%) (Figure 3). The percentage of women aged 40–59 who had trouble staying asleep four times or more in the past week increased from 23.7% among premenopausal, to 30.8% among perimenopausal, and to 35.9% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to have trouble staying asleep four times or more in the past week.

Figure 3 kamagra pills online. Percentage of nonpregnant women aged 40–59 who had trouble staying asleep four times or more in the past week, by menopausal status. United States, kamagra pills online 2015image icon1Significant linear trend by menopausal status (p <.

0.05).NOTES. Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were kamagra pills online perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was 1 year ago or less.

Women were premenopausal if they still had a menstrual cycle. Access data kamagra pills online table for Figure 3pdf icon.SOURCE. NCHS, National Health Interview Survey, 2015.

The percentage of women aged 40–59 who did not wake up feeling well rested 4 days or more in the past week varied by menopausal status.Nearly one in two nonpregnant women aged 40–59 did not wake up feeling well rested 4 days or more in the past week (48.9%) (Figure 4). The percentage of women in this age group who did not wake up feeling well rested 4 days or kamagra pills online more in the past week increased from 47.0% among premenopausal women to 49.9% among perimenopausal and 55.1% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to not wake up feeling well rested 4 days or more in the past week.

Figure 4 kamagra pills online. Percentage of nonpregnant women aged 40–59 who did not wake up feeling well rested 4 days or more in the past week, by menopausal status. United States, 2015image icon1Significant linear trend by menopausal status (p <.

0.05).NOTES. Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was 1 year ago or less.

Women were premenopausal if they still had a menstrual cycle. Access data table for Figure 4pdf icon.SOURCE. NCHS, National Health Interview Survey, 2015.

SummaryThis report describes sleep duration and sleep quality among U.S. Nonpregnant women aged 40–59 by menopausal status. Perimenopausal women were most likely to sleep less than 7 hours, on average, in a 24-hour period compared with premenopausal and postmenopausal women.

In contrast, postmenopausal women were most likely to have poor-quality sleep. A greater percentage of postmenopausal women had frequent trouble falling asleep, staying asleep, and not waking well rested compared with premenopausal women. The percentage of perimenopausal women with poor-quality sleep was between the percentages for the other two groups in all three categories.

Sleep duration changes with advancing age (4), but sleep duration and quality are also influenced by concurrent changes in women’s reproductive hormone levels (5). Because sleep is critical for optimal health and well-being (6), the findings in this report highlight areas for further research and targeted health promotion. DefinitionsMenopausal status.

A three-level categorical variable was created from a series of questions that asked women. 1) “How old were you when your periods or menstrual cycles started?. €.

2) “Do you still have periods or menstrual cycles?. €. 3) “When did you have your last period or menstrual cycle?.

€. And 4) “Have you ever had both ovaries removed, either as part of a hysterectomy or as one or more separate surgeries?. € Women were postmenopausal if they a) had gone without a menstrual cycle for more than 1 year or b) were in surgical menopause after the removal of their ovaries.

Women were perimenopausal if they a) no longer had a menstrual cycle and b) their last menstrual cycle was 1 year ago or less. Premenopausal women still had a menstrual cycle.Not waking feeling well rested. Determined by respondents who answered 3 days or less on the questionnaire item asking, “In the past week, on how many days did you wake up feeling well rested?.

€Short sleep duration. Determined by respondents who answered 6 hours or less on the questionnaire item asking, “On average, how many hours of sleep do you get in a 24-hour period?. €Trouble falling asleep.

Determined by respondents who answered four times or more on the questionnaire item asking, “In the past week, how many times did you have trouble falling asleep?. €Trouble staying asleep. Determined by respondents who answered four times or more on the questionnaire item asking, “In the past week, how many times did you have trouble staying asleep?.

€ Data source and methodsData from the 2015 National Health Interview Survey (NHIS) were used for this analysis. NHIS is a multipurpose health survey conducted continuously throughout the year by the National Center for Health Statistics. Interviews are conducted in person in respondents’ homes, but follow-ups to complete interviews may be conducted over the telephone.

Data for this analysis came from the Sample Adult core and cancer supplement sections of the 2015 NHIS. For more information about NHIS, including the questionnaire, visit the NHIS website.All analyses used weights to produce national estimates. Estimates on sleep duration and quality in this report are nationally representative of the civilian, noninstitutionalized nonpregnant female population aged 40–59 living in households across the United States.

The sample design is described in more detail elsewhere (7). Point estimates and their estimated variances were calculated using SUDAAN software (8) to account for the complex sample design of NHIS. Linear and quadratic trend tests of the estimated proportions across menopausal status were tested in SUDAAN via PROC DESCRIPT using the POLY option.

Differences between percentages were evaluated using two-sided significance tests at the 0.05 level. About the authorAnjel Vahratian is with the National Center for Health Statistics, Division of Health Interview Statistics. The author gratefully acknowledges the assistance of Lindsey Black in the preparation of this report.

ReferencesFord ES. Habitual sleep duration and predicted 10-year cardiovascular risk using the pooled cohort risk equations among US adults. J Am Heart Assoc 3(6):e001454.

2014.Ford ES, Wheaton AG, Chapman DP, Li C, Perry GS, Croft JB. Associations between self-reported sleep duration and sleeping disorder with concentrations of fasting and 2-h glucose, insulin, and glycosylated hemoglobin among adults without diagnosed diabetes. J Diabetes 6(4):338–50.

2014.American College of Obstetrics and Gynecology. ACOG Practice Bulletin No. 141.

Management of menopausal symptoms. Obstet Gynecol 123(1):202–16. 2014.Black LI, Nugent CN, Adams PF.

Tables of adult health behaviors, sleep. National Health Interview Survey, 2011–2014pdf icon. 2016.Santoro N.

Perimenopause. From research to practice. J Women’s Health (Larchmt) 25(4):332–9.

2016.Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, et al. Recommended amount of sleep for a healthy adult. A joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society.

J Clin Sleep Med 11(6):591–2. 2015.Parsons VL, Moriarity C, Jonas K, et al. Design and estimation for the National Health Interview Survey, 2006–2015.

National Center for Health Statistics. Vital Health Stat 2(165). 2014.RTI International.

SUDAAN (Release 11.0.0) [computer software]. 2012. Suggested citationVahratian A.

Sleep duration and quality among women aged 40–59, by menopausal status. NCHS data brief, no 286. Hyattsville, MD.

National Center for Health Statistics. 2017.Copyright informationAll material appearing in this report is in the public domain and may be reproduced or copied without permission. Citation as to source, however, is appreciated.National Center for Health StatisticsCharles J.

Rothwell, M.S., M.B.A., DirectorJennifer H. Madans, Ph.D., Associate Director for ScienceDivision of Health Interview StatisticsMarcie L. Cynamon, DirectorStephen J.

Blumberg, Ph.D., Associate Director for Science.

NCHS Data Brief investigate this site No buy kamagra with prescription. 286, September 2017PDF Versionpdf icon (374 KB)Anjel Vahratian, Ph.D.Key findingsData from the National Health Interview Survey, 2015Among those aged 40–59, perimenopausal women (56.0%) were more likely than postmenopausal (40.5%) and premenopausal (32.5%) women to sleep less than 7 hours, on average, in a 24-hour period.Postmenopausal women aged 40–59 were more likely than premenopausal women aged 40–59 to have trouble falling asleep (27.1% compared with 16.8%, respectively), and staying asleep (35.9% compared with 23.7%), four times or more in the past week.Postmenopausal women aged 40–59 (55.1%) were more likely than premenopausal women aged 40–59 (47.0%) to not wake up feeling well rested 4 days or more in the past week.Sleep duration and quality are important contributors to health and wellness. Insufficient sleep is associated with an increased risk buy kamagra with prescription for chronic conditions such as cardiovascular disease (1) and diabetes (2). Women may be particularly vulnerable to sleep problems during times of reproductive hormonal change, such as after the menopausal transition.

Menopause is buy kamagra with prescription “the permanent cessation of menstruation that occurs after the loss of ovarian activity” (3). This data brief describes sleep duration and sleep quality among nonpregnant women aged 40–59 by menopausal status. The age range selected for this analysis reflects the focus on midlife sleep health. In this buy kamagra with prescription analysis, 74.2% of women are premenopausal, 3.7% are perimenopausal, and 22.1% are postmenopausal.

Keywords. Insufficient sleep, menopause, National Health Interview Survey Perimenopausal women were more likely than premenopausal and postmenopausal women to sleep less than 7 buy kamagra with prescription hours, on average, in a 24-hour period.More than one in three nonpregnant women aged 40–59 slept less than 7 hours, on average, in a 24-hour period (35.1%) (Figure 1). Perimenopausal women were most likely to sleep less than 7 hours, on average, in a 24-hour period (56.0%), compared with 32.5% of premenopausal and 40.5% of postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to sleep less than 7 hours, on average, in a 24-hour period.

Figure 1 buy kamagra with prescription. Percentage of nonpregnant women aged 40–59 who slept less than 7 hours, on average, in a 24-hour period, by menopausal status. United States, buy kamagra with prescription 2015image icon1Significant quadratic trend by menopausal status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was buy kamagra with prescription 1 year ago or less. Women were premenopausal if they still had a menstrual cycle. Access data buy kamagra with prescription table for Figure 1pdf icon.SOURCE.

NCHS, National Health Interview Survey, 2015. The percentage of women aged 40–59 who had trouble falling asleep four times or more in the past week varied by menopausal status.Nearly one in five nonpregnant women aged 40–59 buy kamagra with prescription had trouble falling asleep four times or more in the past week (19.4%) (Figure 2). The percentage of women in this age group who had trouble falling asleep four times or more in the past week increased from 16.8% among premenopausal women to 24.7% among perimenopausal and 27.1% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to have trouble falling asleep four times or more in the past week.

Figure 2 buy kamagra with prescription. Percentage of nonpregnant women aged 40–59 who had trouble falling asleep four times or more in the past week, by menopausal status. United States, 2015image icon1Significant linear trend by menopausal buy kamagra with prescription status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was 1 year buy kamagra with prescription ago or less. Women were premenopausal if they still had a menstrual cycle. Access data table for Figure 2pdf icon.SOURCE buy kamagra with prescription.

NCHS, National Health Interview Survey, 2015. The percentage of women aged 40–59 who had trouble staying asleep four times or more in the past week varied by menopausal status.More than one in four nonpregnant women aged 40–59 had trouble staying asleep four times buy kamagra with prescription or more in the past week (26.7%) (Figure 3). The percentage of women aged 40–59 who had trouble staying asleep four times or more in the past week increased from 23.7% among premenopausal, to 30.8% among perimenopausal, and to 35.9% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to have trouble staying asleep four times or more in the past week.

Figure 3 buy kamagra with prescription. Percentage of nonpregnant women aged 40–59 who had trouble staying asleep four times or more in the past week, by menopausal status. United States, 2015image icon1Significant buy kamagra with prescription linear trend by menopausal status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no buy kamagra with prescription longer had a menstrual cycle and their last menstrual cycle was 1 year ago or less. Women were premenopausal if they still had a menstrual cycle. Access data table for Figure 3pdf buy kamagra with prescription icon.SOURCE.

NCHS, National Health Interview Survey, 2015. The percentage of women aged 40–59 who did not wake up feeling well rested 4 days or more in the past week varied by menopausal status.Nearly one in two nonpregnant women aged 40–59 did not wake up feeling well rested 4 days or more in the past week (48.9%) (Figure 4). The percentage of women in this age group who did not wake up buy kamagra with prescription feeling well rested 4 days or more in the past week increased from 47.0% among premenopausal women to 49.9% among perimenopausal and 55.1% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to not wake up feeling well rested 4 days or more in the past week.

Figure 4 buy kamagra with prescription. Percentage of nonpregnant women aged 40–59 who did not wake up feeling well rested 4 days or more in the past week, by menopausal status. United States, 2015image icon1Significant linear trend by menopausal status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was 1 year ago or less. Women were premenopausal if they still had a menstrual cycle. Access data table for Figure 4pdf icon.SOURCE.

NCHS, National Health Interview Survey, 2015. SummaryThis report describes sleep duration and sleep quality among U.S. Nonpregnant women aged 40–59 by menopausal status. Perimenopausal women were most likely to sleep less than 7 hours, on average, in a 24-hour period compared with premenopausal and postmenopausal women.

In contrast, postmenopausal women were most likely to have poor-quality sleep. A greater percentage of postmenopausal women had frequent trouble falling asleep, staying asleep, and not waking well rested compared with premenopausal women. The percentage of perimenopausal women with poor-quality sleep was between the percentages for the other two groups in all three categories. Sleep duration changes with advancing age (4), but sleep duration and quality are also influenced by concurrent changes in women’s reproductive hormone levels (5).

Because sleep is critical for optimal health and well-being (6), the findings in this report highlight areas for further research and targeted health promotion. DefinitionsMenopausal status. A three-level categorical variable was created from a series of questions that asked women. 1) “How old were you when your periods or menstrual cycles started?.

€. 2) “Do you still have periods or menstrual cycles?. €. 3) “When did you have your last period or menstrual cycle?.

€. And 4) “Have you ever had both ovaries removed, either as part of a hysterectomy or as one or more separate surgeries?. € Women were postmenopausal if they a) had gone without a menstrual cycle for more than 1 year or b) were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they a) no longer had a menstrual cycle and b) their last menstrual cycle was 1 year ago or less.

Premenopausal women still had a menstrual cycle.Not waking feeling well rested. Determined by respondents who answered 3 days or less on the questionnaire item asking, “In the past week, on how many days did you wake up feeling well rested?. €Short sleep duration. Determined by respondents who answered 6 hours or less on the questionnaire item asking, “On average, how many hours of sleep do you get in a 24-hour period?.

€Trouble falling asleep. Determined by respondents who answered four times or more on the questionnaire item asking, “In the past week, how many times did you have trouble falling asleep?. €Trouble staying asleep. Determined by respondents who answered four times or more on the questionnaire item asking, “In the past week, how many times did you have trouble staying asleep?.

€ Data source and methodsData from the 2015 National Health Interview Survey (NHIS) were used for this analysis. NHIS is a multipurpose health survey conducted continuously throughout the year by the National Center for Health Statistics. Interviews are conducted in person in respondents’ homes, but follow-ups to complete interviews may be conducted over the telephone. Data for this analysis came from the Sample Adult core and cancer supplement sections of the 2015 NHIS.

For more information about NHIS, including the questionnaire, visit the NHIS website.All analyses used weights to produce national estimates. Estimates on sleep duration and quality in this report are nationally representative of the civilian, noninstitutionalized nonpregnant female population aged 40–59 living in households across the United States. The sample design is described in more detail elsewhere (7). Point estimates and their estimated variances were calculated using SUDAAN software (8) to account for the complex sample design of NHIS.

Linear and quadratic trend tests of the estimated proportions across menopausal status were tested in SUDAAN via PROC DESCRIPT using the POLY option. Differences between percentages were evaluated using two-sided significance tests at the 0.05 level. About the authorAnjel Vahratian is with the National Center for Health Statistics, Division of Health Interview Statistics. The author gratefully acknowledges the assistance of Lindsey Black in the preparation of this report.

ReferencesFord ES. Habitual sleep duration and predicted 10-year cardiovascular risk using the pooled cohort risk equations among US adults. J Am Heart Assoc 3(6):e001454. 2014.Ford ES, Wheaton AG, Chapman DP, Li C, Perry GS, Croft JB.

Associations between self-reported sleep duration and sleeping disorder with concentrations of fasting and 2-h glucose, insulin, and glycosylated hemoglobin among adults without diagnosed diabetes. J Diabetes 6(4):338–50. 2014.American College of Obstetrics and Gynecology. ACOG Practice Bulletin No.

141. Management of menopausal symptoms. Obstet Gynecol 123(1):202–16. 2014.Black LI, Nugent CN, Adams PF.

Tables of adult health behaviors, sleep. National Health Interview Survey, 2011–2014pdf icon. 2016.Santoro N. Perimenopause.

From research to practice. J Women’s Health (Larchmt) 25(4):332–9. 2016.Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, et al. Recommended amount of sleep for a healthy adult.

A joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society. J Clin Sleep Med 11(6):591–2. 2015.Parsons VL, Moriarity C, Jonas K, et al. Design and estimation for the National Health Interview Survey, 2006–2015.

National Center for Health Statistics. Vital Health Stat 2(165). 2014.RTI International. SUDAAN (Release 11.0.0) [computer software].

2012. Suggested citationVahratian A. Sleep duration and quality among women aged 40–59, by menopausal status. NCHS data brief, no 286.

Hyattsville, MD. National Center for Health Statistics. 2017.Copyright informationAll material appearing in this report is in the public domain and may be reproduced or copied without permission. Citation as to source, however, is appreciated.National Center for Health StatisticsCharles J.

Rothwell, M.S., M.B.A., DirectorJennifer H. Madans, Ph.D., Associate Director for ScienceDivision of Health Interview StatisticsMarcie L. Cynamon, DirectorStephen J. Blumberg, Ph.D., Associate Director for Science.

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If you notice any changes in your vision while taking this drug, call your doctor or health care professional as soon as possible. Call your health care provider right away if you have any change in vision. Contact you doctor or health care professional right away if the erection lasts longer than 4 hours or if it becomes painful. This may be a sign of a serious problem and must be treated right away to prevent permanent damage. If you experience symptoms of nausea, dizziness, chest pain or arm pain upon initiation of sexual activity after taking Kamagra, you should refrain from further activity and call your doctor or health care professional as soon as possible. Using Kamagra does not protect you or your partner against HIV (the kamagra that causes AIDS) or other sexually transmitted diseases.

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Although, the primary goal in patients with an acute myocardial infarction (AMI) is to reduce mortality and major adverse events, patient centred measures kamagra not working such as long-term health-related quality of life (HRQoL) also are important. The benefits of exercise for mortality reduction after AMI are well known but the effect on HRQoL has received less attention. In this issue of Heart, Hurdus and colleagues1 examined the temporal association of HRQoL with physical activity levels and cardiac rehabilitation in 4570 patients kamagra not working at 30 days, 6 and 12 months after AMI. Both cardiac rehabilitation and self-reported physical activity of at least 150 min/week were positively associated in improvements in HRQoL at each time point, with an additive effect for physical activity even in those receiving cardiac rehabilitation (figure 1).Health-related quality of life trajectories of patients with acute myocardial infarction according to their attendance at cardiac rehabilitation and/or self-reported physical activity of ≥150 min/week. EQ-VAS, EuroQol 5-Visual Analogue Scale" data-icon-position data-hide-link-title="0">Figure 1 Health-related quality of life trajectories of patients with acute myocardial infarction according to their attendance at cardiac rehabilitation and/or self-reported physical activity of ≥150 min/week.

EQ-VAS, EuroQol 5-Visual Analogue ScaleIn an editorial, Taylor and Dalal2 point out that ‘When we ask our patients why they want to participate in cardiac rehabilitation (CR), the response that we invariably hear is that they do so because kamagra not working they want to be able to better undertake their activities and roles of daily life—in other words, patients undertake CR to improve their HRQoL.’ Although the results of the study reported in this issue of Heart,1 ‘require confirmation in a randomised trial, robust scientific methods were employed by this study group, with potential selection bias and confounding minimised by use of a weighted propensity score analysis.’ Clearly, we need to incorporate relevant measures of HRQoL in future clinical trials whenever possible.Prevention of stroke in patients with atrial fibrillation (AF) has been enhanced by the use of non-vitamin K antagonist oral anticoagulants (NOACs). However, effectiveness depends not only on ensuring physicians prescribe NOACs appropriately but also on patients adhering to the recommended therapy. In this issue of Heart, Capiau and colleagues3 explored how patient’s actual intake of medication (implementation adherence) was related to their experiences with and beliefs about NOACs. In a series of 766 patients with a mean age of 76 years, almost 21% reported non-adherence, kamagra not working most often due to forgetfulness. Overall, about half the study population failed to take their NOAC on at least 17 days per year, despite a high level of acceptance of the need for therapy (figure 2).Scatter plot of the necessity (X-axis) and concerns (Y-axis) scores of the study population.

Every dot on the scatter plot corresponds with one necessity/concerns score combination but can kamagra not working include multiple patients. The range of the number of patients per score is indicated with different dot styles. BMQ, beliefs about medicines questionnaire. MPR, medication possession ratio." data-icon-position data-hide-link-title="0">Figure 2 Scatter plot of the necessity (X-axis) and kamagra not working concerns (Y-axis) scores of the study population. Every dot on the scatter plot corresponds with one necessity/concerns score combination but can include multiple patients.

The range of the number of patients kamagra not working per score is indicated with different dot styles. BMQ, beliefs about medicines questionnaire. MPR, medication possession ratio.Hendriks and colleagues4 propose approaches to improving adherence with NOAC therapy. €˜As patients age, multimorbidity increases, and cognitive decline and dementia associated with AF may affect the ability kamagra not working to self-manage medications. Integrated care models in which multiple specialists work closely together can help to identify these changes, and assist patients to receive the help they need.

For some increased carer support may suffice, while for others text or phone messaging may have a place or the use of dose administration aids may be indicated.’An ambulatory ECG is a common diagnostic test for patients with palpitations or syncope but the information obtained needs to be interpreted in the context of the normal variation in heart rhythm across the age spectrum. In a meta-analysis of 33 studies than included 6466 healthy adults with ambulatory ECG recordings, Williams and colleagues5 found that:Sinus pauses over 3 s in length occurred in <1% of subjects.Any supraventricular or ventricular ectopy was common and increased in prevalence with age.In patients aged 60–79 years, frequent supraventricular ectopy (>1000/24 hours) was seen in 6%, supraventricular tachycardiac in 28%, frequent ventricular ectopy (>1000/24 hours) in 5% and non-sustained ventricular tachycardia in only 2%.Johnson and Conen6 summarise this kamagra not working data (figure 3), discuss the definition of ‘normal’ and suggest that additional work is needed in understanding the prevalence and prognostic value of these variations in cardiac rhythm. €˜Only then we can reliably interpret ambulatory ECG recordings and start thinking about reliable interventions to improve patient outcomes.’(A) Prevalence of arrhythmias by age groups. (B) Schematic overview of possible inter-relationships between normal physiology, SVE, AF and complications. AF, atrial kamagra not working fibrillation.

AV, atrioventricular. NSVT, non-sustained kamagra not working ventricular tachycardia. SVE, supraventricular ectopy. SVT, sustained ventricular tachycardia. VE, ventricular kamagra not working ectopy." data-icon-position data-hide-link-title="0">Figure 3 (A) Prevalence of arrhythmias by age groups.

(B) Schematic overview of possible inter-relationships between normal physiology, SVE, AF and complications. AF, atrial fibrillation. AV, atrioventricular kamagra not working. NSVT, non-sustained ventricular tachycardia. SVE, supraventricular ectopy kamagra not working.

SVT, sustained ventricular tachycardia. VE, ventricular ectopy.The Education in Heart article in this issue provides a quick tutorial on the role of imaging for evaluation of aortic and mitral regurgitation.7 Key steps in imaging are to identify the mechanism of regurgitation, measure the severity of regurgitation using a multiparametric approach, and assess the consequences of regurgitation, including adverse changes in left ventricular size and function and in pulmonary pressures.A review article on positron emission tomography provides a concise introduction for clinicians of the emerging uses of this advanced imaging modality in clinical diagnosis of patients with ischaemic heart disease, heart failure, prosthetic valve endocarditis and cardio-oncology8 (figure 4).Potential scope of PET imaging in cardiovascular disease. CVD, cardiovascular kamagra not working disease. ICD, implantable cardioverter difibrillator. PET, positron emission tomography kamagra not working.

VT, ventricular tachycardia." data-icon-position data-hide-link-title="0">Figure 4 Potential scope of PET imaging in cardiovascular disease. CVD, cardiovascular disease. ICD, implantable cardioverter kamagra not working difibrillator. PET, positron emission tomography. VT, ventricular tachycardia.The Cardiology in Focus article in this issue is the second of a two-part topic on computer programming for the clinician.9It’s not the years in your life that matter, it’s the life in your years.This (mis)quote neatly captures the importance of quality of life.

Indeed, our quality of life has perhaps never been so important than during these unprecedented times of the erectile dysfunction treatment kamagra not working kamagra.Although limited, there is some empirical evidence to support the value that people with heart disease attach to their health-related quality of life (HRQoL). An innovative study asked 99 people with advanced heart failure to complete a time trade-off (TTO) tool to quantify their willingness to trade time (length of life) for better health (HRQoL).1 TTO scores can range from 1.0 (no willingness to trade off length of life for health) to 0 (complete willingness to trade off length of life for health). Importantly, the study authors found that patients were prepared to trade off time for health, and interestingly this trade-off was greatest for those with the poorest HRQoL (eg, patients with an New York Heart ….

Although, the primary goal in patients with an acute myocardial infarction (AMI) is to reduce mortality and major adverse events, patient centred measures such buy kamagra with prescription as long-term health-related quality of life (HRQoL) also are Propecia generic price important. The benefits of exercise for mortality reduction after AMI are well known but the effect on HRQoL has received less attention. In this issue of Heart, Hurdus and colleagues1 examined buy kamagra with prescription the temporal association of HRQoL with physical activity levels and cardiac rehabilitation in 4570 patients at 30 days, 6 and 12 months after AMI.

Both cardiac rehabilitation and self-reported physical activity of at least 150 min/week were positively associated in improvements in HRQoL at each time point, with an additive effect for physical activity even in those receiving cardiac rehabilitation (figure 1).Health-related quality of life trajectories of patients with acute myocardial infarction according to their attendance at cardiac rehabilitation and/or self-reported physical activity of ≥150 min/week. EQ-VAS, EuroQol 5-Visual Analogue Scale" data-icon-position data-hide-link-title="0">Figure 1 Health-related quality of life trajectories of patients with acute myocardial infarction according to their attendance at cardiac rehabilitation and/or self-reported physical activity of ≥150 min/week. EQ-VAS, EuroQol 5-Visual Analogue ScaleIn an editorial, Taylor and Dalal2 point out that ‘When we ask our patients why they want to participate in cardiac rehabilitation (CR), the response that we invariably hear is that they do so because they want to be able to better undertake their activities and roles of daily life—in other words, patients undertake CR to improve their HRQoL.’ Although the results of the study reported in this issue of Heart,1 ‘require confirmation in a randomised trial, robust scientific methods were employed by this study group, with potential selection bias and confounding minimised by use of a weighted propensity score analysis.’ Clearly, we need to incorporate relevant measures of HRQoL in future clinical trials buy kamagra with prescription whenever possible.Prevention of stroke in patients with atrial fibrillation (AF) has been enhanced by the use of non-vitamin K antagonist oral anticoagulants (NOACs).

However, effectiveness depends not only on ensuring physicians prescribe NOACs appropriately but also on patients adhering to the recommended therapy. In this issue of Heart, Capiau and colleagues3 explored how patient’s actual intake of medication (implementation adherence) was related to their experiences with and beliefs about NOACs. In a series of 766 patients with a mean age of 76 years, almost 21% reported non-adherence, most buy kamagra with prescription often due to forgetfulness.

Overall, about half the study population failed to take their NOAC on at least 17 days per year, despite a high level of acceptance of the need for therapy (figure 2).Scatter plot of the necessity (X-axis) and concerns (Y-axis) scores of the study population. Every dot on the scatter buy kamagra with prescription plot corresponds with one necessity/concerns score combination but can include multiple patients. The range of the number of patients per score is indicated with different dot styles.

BMQ, beliefs about medicines questionnaire. MPR, medication possession ratio." data-icon-position data-hide-link-title="0">Figure 2 Scatter plot of the necessity (X-axis) and concerns (Y-axis) scores of the buy kamagra with prescription study population. Every dot on the scatter plot corresponds with one necessity/concerns score combination but can include multiple patients.

The range buy kamagra with prescription of the number of patients per score is indicated with different dot styles. BMQ, beliefs about medicines questionnaire. MPR, medication possession ratio.Hendriks and colleagues4 propose approaches to improving adherence with NOAC therapy.

€˜As patients age, multimorbidity increases, and cognitive decline and dementia associated with AF may affect the buy kamagra with prescription ability to self-manage medications. Integrated care models in which multiple specialists work closely together can help to identify these changes, and assist patients to receive the help they need. For some increased carer support may suffice, while for others text or phone messaging may have a place or the use of dose administration aids may be indicated.’An ambulatory ECG is a common diagnostic test for patients with palpitations or syncope but the information obtained needs to be interpreted in the context of the normal variation in heart rhythm across the age spectrum.

In a meta-analysis of 33 studies than included 6466 healthy adults with ambulatory ECG recordings, Williams and colleagues5 found that:Sinus pauses over 3 s in length occurred in <1% of subjects.Any supraventricular or ventricular ectopy was common and increased in prevalence with age.In patients aged 60–79 years, frequent supraventricular ectopy (>1000/24 hours) was seen in 6%, supraventricular tachycardiac in 28%, frequent ventricular ectopy (>1000/24 hours) in 5% and non-sustained ventricular tachycardia in buy kamagra with prescription only 2%.Johnson and Conen6 summarise this data (figure 3), discuss the definition of ‘normal’ and suggest that additional work is needed in understanding the prevalence and prognostic value of these variations in cardiac rhythm. €˜Only then we can reliably interpret ambulatory ECG recordings and start thinking about reliable interventions to improve patient outcomes.’(A) Prevalence of arrhythmias by age groups. (B) Schematic overview of possible inter-relationships between normal physiology, SVE, AF and complications.

AF, atrial fibrillation buy kamagra with prescription. AV, atrioventricular. NSVT, non-sustained ventricular tachycardia buy kamagra with prescription.

SVE, supraventricular ectopy. SVT, sustained ventricular tachycardia. VE, ventricular ectopy." data-icon-position data-hide-link-title="0">Figure 3 (A) Prevalence of buy kamagra with prescription arrhythmias by age groups.

(B) Schematic overview of possible inter-relationships between normal physiology, SVE, AF and complications. AF, atrial fibrillation. AV, atrioventricular buy kamagra with prescription.

NSVT, non-sustained ventricular tachycardia. SVE, supraventricular buy kamagra with prescription ectopy. SVT, sustained ventricular tachycardia.

VE, ventricular ectopy.The Education in Heart article in this issue provides a quick tutorial on the role of imaging for evaluation of aortic and mitral regurgitation.7 Key steps in imaging are to identify the mechanism of regurgitation, measure the severity of regurgitation using a multiparametric approach, and assess the consequences of regurgitation, including adverse changes in left ventricular size and function and in pulmonary pressures.A review article on positron emission tomography provides a concise introduction for clinicians of the emerging uses of this advanced imaging modality in clinical diagnosis of patients with ischaemic heart disease, heart failure, prosthetic valve endocarditis and cardio-oncology8 (figure 4).Potential scope of PET imaging in cardiovascular disease. CVD, cardiovascular disease buy kamagra with prescription. ICD, implantable cardioverter difibrillator.

PET, positron buy kamagra with prescription emission tomography. VT, ventricular tachycardia." data-icon-position data-hide-link-title="0">Figure 4 Potential scope of PET imaging in cardiovascular disease. CVD, cardiovascular disease.

ICD, implantable cardioverter buy kamagra with prescription difibrillator. PET, positron emission tomography. VT, ventricular tachycardia.The Cardiology in Focus article in this issue is the second of a two-part topic on computer programming for the clinician.9It’s not the years in your life that matter, it’s the life in your years.This (mis)quote neatly captures the importance of quality of life.

Indeed, our quality of life has perhaps never been so important than during these unprecedented times of the erectile dysfunction treatment kamagra.Although limited, there is some empirical evidence to support the value that people with heart disease attach to their health-related quality of buy kamagra with prescription life (HRQoL). An innovative study asked 99 people with advanced heart failure to complete a time trade-off (TTO) tool to quantify their willingness to trade time (length of life) for better health (HRQoL).1 TTO scores can range from 1.0 (no willingness to trade off length of life for health) to 0 (complete willingness to trade off length of life for health). Importantly, the study authors found that patients were prepared to trade off time for health, and interestingly this trade-off was greatest for those with the poorest HRQoL (eg, patients with an New York Heart ….

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There can be no ‘getting back to normal’, because ‘normal’ only ever benefited the white, Western, patriarchal, abled and cis ideals. For many, the world is not suddenly kamagra oral jelly canadian pharmacy on fire. It has long been burning.The present kamagra lays bare systemic prejudice against the most vulnerable among us.

We at Medical Humanities, with our focus on global health and social justice, welcome discussion about how the crisis has disproportionately affected racial and fiscal minorities, those from the disabled community, those who are LGBTQA+ and other vulnerable groups. What we focus on here, now, can lead to greater accessibility and equity in the future.In this expanded issue, we offer some of the incredible work being done across the field of medical humanities prior to the erectile dysfunction treatment crisis, and we are kamagra oral jelly canadian pharmacy already reviewing articles on the role of health humanities during the kamagra. The process of academic publishing tends not to lend itself to immediacy, however, and the challenges of kamagra means greater pressure on everyone, from the authors to the reviewers and readers.To remedy this, we at Medical Humanities have been increasing the work on our blog platform, a place where content can be quickly updated, and where conversations can occur among readers and writers.

We openly invite submissions concerning the kamagra, as well as topics relevant to our wider kamagra oral jelly canadian pharmacy CFP (call for posts/papers) this year on social justice and health, to both blog and journal. We will do our best to expedite. Finally, we have also been addressing social justice and access in our podcast, where we interviewed disability activist Alice Wong and most recently Dr Oni Blackstock, primary care physician and HIV specialist in New York.

We hope to have many kamagra oral jelly canadian pharmacy more on these critical subjects.We wish all of you good health and safety and know that many of you are yet on the front lines. Thank you for being part of the community of Medical Humanities.IntroductionMinecraft is a computer game with no specific goals to accomplish. The gameworld consists of three-dimensional (3D) cubes and objects which the player (Steve) can mine and kamagra oral jelly canadian pharmacy build into infinitely complex (and logically impossible) structures.

Steve sometimes encounters other characters (‘mobs’), such as animals and hostile creatures. He can ‘spawn’ and destroy them. While it looks like a harmless game kamagra oral jelly canadian pharmacy of logical construction, it conveys some worryingly delusive ideas about the real world.

The difference between real and imagined structures is at the heart of the age-old debate around categorising mental disorders.Classification in mental health has had various forms throughout history. Mack and kamagra oral jelly canadian pharmacy colleagues set out a history of psychiatric classification beginning in 2600 BC with Egyptian references to melancholia and hysteria. Through the Ancient Greeks with Hippocrates’ phrenitis, mania, melancholia, epilepsy, hysteria and Scythian disease.

Through the Renaissance period. Through to 19th-century psychiatry featuring Pinel (known as the first psychiatrist), Kraepelin (known for observational classification) and Freud (known for classifying kamagra oral jelly canadian pharmacy neurosis and psychosis).1Although the history of psychiatric classification identifies some common trends such as the labels ‘melancholia’ and ‘hysteria’ which have survived millennia, the label ‘depression’ is relatively new. The earliest usage noted by Snaith is from 1899.

€˜in simple pathological depression…the patient exhibits a growing indifference to his former kamagra oral jelly canadian pharmacy pursuits…’.2 Snaith noted that early 20th-century psychiatrists like Adolf Meyer hoped that ‘depression’ would come to encompass a broad category under which descriptions of subtypes would emerge. This did not happen until the middle of the 20th century. With the publication of the sixth International Classification of Diseases (ICD) in 1948 and the Diagnostic and Statistical Manual of Mental Disorders (DSM) in 1952 and their subsequent revisions, the latter half of the 20th century has seen depression subtype labels proliferate.

In their study of the social determinants of diagnostic labels in depression, McPherson and Armstrong illustrate how the codification of depression subtypes in the latter half of the 20th century has been shaped by the evolving context of psychiatry, including power struggles within the profession, a move to community care and the development of psychopharmacology.3During this period, McPherson and Armstrong describe how subsequent versions of the DSM served as battlegrounds kamagra oral jelly canadian pharmacy for professional disputes and philosophical quarrels around categorisation of mental disorders. DSM I and DSM II have been described as products of an American Psychiatric Association dominated by psychoanalytic psychiatrists.4 DSM III and DSM III-R have been described as a radical rejection of psychoanalytic thinking, a ‘neo-Kraepelinian revolution’, a reference to the observational descriptive techniques of 19th-century psychiatrist Emil Kraepelin who classified mental disorders into two broad categories. €˜dementia praecox’ and ‘manic-depression’.5 DSM III was seen by some as a turning point in the use of the medical model of mental illness, through provision of specific inclusion and exclusion criteria, and use of field trials and a multiaxial kamagra oral jelly canadian pharmacy system.6 These latter technocratic additions to psychiatric labelling served to engender a much closer alignment between psychiatry, science and medicine.The codification of mental disorders in manuals has been described by Thomas Schacht as intrinsic to the relationship between science and politics and the way in which psychiatrists gain significant social power by aligning themselves to science.7 His argument drew on Szasz, who saw the mental health establishment as a therapeutic state.

Zimbardo, who described psychiatric care as a controlling force. And Foucault, who described the categorisation of the mentally ill as a force for isolating ‘the other’. Diagnostic critique has been further developed through a cultural relativist lens in that what Western psychiatrists classify as a depression is constructed differently kamagra oral jelly canadian pharmacy in other cultures.8 Considering these limitations, some critics have gone so far as to argue that psychiatric diagnostic systems should be abolished.9Yet architects of DSM manuals have worked hard to ensure the technology of classification is regarded as genuine scientific activity with sound roots in philosophy of science.

In their philosophical defence of DSM IV, Allen Frances and colleagues address their critics under the headings ‘nominalism vs realism’, ‘empiricism vs rationalism’ and ‘categorical vs dimensional’.10 The implication is that there are opposing stances in which a choice must be made or a middle ground forged by those reasonable enough to recognise the need for pragmatism in the service of clinical utility. The nominalism–realism debate is illustrated kamagra oral jelly canadian pharmacy using as metaphor three different stances a cricket umpire might take on calling strikes and balls. The discussion sets out two of these as extreme views.

€˜at one extreme…those who take a reductionistically realistic view of the world’ versus ‘the solipsistic nominalists…might content that nothing exists’. Szasz, who is characterised as holding particularly extreme views, is named as an archetypal solipsist kamagra oral jelly canadian pharmacy. There is implied to be a degree of arrogance associated with this view in the illustrative example in which the umpire states ‘there are no balls and there are no strikes until I call them’.

Frances therefore sets up a means of grouping two kinds of people as philosophical extremists who can be dismissed, while avoiding addressing the philosophical problems they pose.Frances provides little if any justification for the middle ground stance, ‘There are balls and there are strikes and I call them as I see them’, other than to focus on its clinical utility and the kamagra oral jelly canadian pharmacy lack of clinical utility in the alternatives ‘naïve realism’ and ‘heuristically barren solipsism’. The natural conclusion the reader is invited to reach is that a middle ground of a heuristic concept is naturally right because it is not extreme and is naturally useful clinically, without specifying in what way this stance is coherent, resolves the two alternatives, and in what way a heuristic construct that is not ‘real’ can be subject to scientific testing.Similarly, in discussing the ‘categorical vs dimensional’, Frances promotes the ‘prototype approach’. Those holding opposing views are labelled as ‘dualists’ or ‘dichotomisers’.

The prototypical approach is kamagra oral jelly canadian pharmacy again put forward as a clinically useful middle ground. Illustrations are drawn from natural science. €˜a triangle and a square are never the kamagra oral jelly canadian pharmacy same’, inciting the reader to consider science as value-free.

The prototypical approach emerges as a natural solution, yet the authors do not address how a diagnostic prototype resolves the issues posed by the two alternatives, nor how a prototype can be subjected to natural science methods.The argument presented here is not a defence of solipsism or dualism. Rather it aims to illustrate that if for pragmatic purposes clinicians and policymakers choose to gloss over the philosophical flaws in classification practices, it is then risky to move beyond the heuristic and apply natural science methods to these constructs adding multiple layers of technocratic subclassification. Doing so is more like playing kamagra oral jelly canadian pharmacy Minecraft than cricket.

The National Institute for Health and Care Excellence (NICE) guideline for depression is taken as an example of the philosophical errors that can follow from playing Minecraft with unsound heuristic devices, specifically subcategories of persistent forms of depression. As well as kamagra oral jelly canadian pharmacy serving a clinical purpose, diagnosis in medicine is a way of allocating resources for insurance companies and constructing clinical guidelines, which in turn determine rationing within the National Health Service. The consequences for recipients of healthcare are therefore significant.

Clinical utility is arguably not being served at all and patients are left at risk of poor-quality care.Heterogeneity of persistent depressionAndrea Jobst and colleagues note that ‘because of their chronic clinical course, approximately 40% of CD [chronic depression] patients also fulfil criteria for TRD [treatment resistant depression]…usually defined by the number of non-successful biological treatments’.11 This position is reflected in the DSM VAmerican Psychiatric Association (2013), the European Psychiatric Association (EPA) guidance and the ICD-11(World Health Organisation, 2018), which all use a ‘persistent’ depression category, acknowledging a loosely defined mixed group of long-term, difficult-to-treat depressive conditions, often associated with dysthymia and comorbid common mental disorders, various personality traits and psychosocial disability.In contrast, the NICE 2018 draft guideline separates treatments into those for ‘new episodes’ of depression. €˜further-line’ treatment kamagra oral jelly canadian pharmacy of depression (equivalent to TRD), CD and ‘depression with co-morbidities’. The latter is subdivided into treatments for ‘complex depression’ and ‘psychotic depression’.

These categories and subcategories introduce an unfortunate sense of kamagra oral jelly canadian pharmacy certainty as though these labels represent real things. An analysis follows of how these definitions play out in terms of grouping of randomised controlled trials in the NICE evidence review. Specifically, the analysis reveals the overlap between populations in trials which have been separated into discrete categories, revealing significant limitations to the utility of the category labels.The NICE definition of CD requires trial samples to meet the criteria for major depressive disorder (MDD) for 2 years.

Dysthymia and double depression (MDD superimposed on dysthymia) were kamagra oral jelly canadian pharmacy included. If 75% of the trial population met these criteria, the trial was reviewed in the CD category.12 The definition of TRD (or ‘further-line treatments’) required that the trial sample had demonstrated a ‘limited response to previous treatment’ and randomised to the further-line treatment at this point. If 80% of the trial participants met these criteria, it was reviewed in the TRD category.13 Complex depression was defined as ‘depression kamagra oral jelly canadian pharmacy co-existing with personality disorder’.

To be classed as complex, 51% of trial participants had to have personality disorder (PD).14It is immediately clear from these definitions that there is a potential problem with attempting to categorise trial populations into just one of these categories. These populations are likely to overlap, whether or not a trial protocol sets out to explicitly record all of this information. The analysis below will illustrate this using examples from within the NICE review.Cataloguing complexity in kamagra oral jelly canadian pharmacy trial populationsWithin the category of further-line treatments (TRD), 64 trials were reviewed.

Comparisons within these trials were further subcategorised into ‘dose escalation strategies’, ‘augmentation strategies’ and ‘switching strategies’. In drilling down by way of illustration, this kamagra oral jelly canadian pharmacy analysis considers the 51 trials in the augmentation strategy evidence review. Of these, two were classified by the reviewers as also fulfilling the criteria for CD but were not analysed in the CD category (Study IDs.

Fonagy 2015 and Kocsis 200915). About half of the trials (23/51) did kamagra oral jelly canadian pharmacy not report the mean duration of episode, meaning that it is not possible to know what percentage of participants also met the criteria for CD. Of trials that did report episode duration, 17 reported a mean duration longer than 24 months.

While the standard deviations varied in size or were unreported, the mean indicates a good likelihood that a significant proportion of the participants across these 51 trials met the criteria for CD.Details of baseline employment, trauma history, suicidality, physical comorbidity, axis I comorbidity and PD (all clinical indicators of complexity, severity and chronicity) were not collated by NICE kamagra oral jelly canadian pharmacy. For the present analysis, all 51 publications were examined and data compiled concerning clinical complexity in the trial populations. Only 14 of 51 trials report employment data.

Of those that do, unemployment ranges kamagra oral jelly canadian pharmacy from 12% to 56% across trial samples. None of the trials report trauma history. About half of the trials (26/51) excluded people who were considered kamagra oral jelly canadian pharmacy a suicide risk.

The others did not.A large proportion of trials (30/51) did not provide any data on axis 1 comorbidity. Of these, 18 did not exclude any diagnoses, while 12 excluded some (but not all) disorders. The most common diagnoses excluded were psychotic disorders, substance or alcohol abuse, and bipolar disorder (excluded in 26, kamagra oral jelly canadian pharmacy 25 and 23 trials, respectively).

Only 7 of 51 trials clearly stated that all axis 1 diagnoses were excluded. This leaves only 13 studies providing any kamagra oral jelly canadian pharmacy data about comorbidity. Of these, 9 gave partial data on one or two conditions, while 4 reported either the mean number of disorders (range 1.96–2.9) or the percentage of participants (range 68.1–96.7) with any comorbid diagnosis (Nierenberg 2003a, Nierenberg 2006, Watkins 2011a, Town 201715).The majority of trials (46/51) did not report the prevalence of PD.

Many stated PD as an exclusion criterion but without defining a threshold for exclusion. For example, PD could be excluded if it ‘impacted’ the depression, if it was kamagra oral jelly canadian pharmacy ‘significant’, ‘severe’ or ‘persistent’. Some excluded certain PDs (such as antisocial or borderline) and not others but without reporting the prevalence of those not excluded.

In the five trials where prevalence was clear, prevalence ranged from 0% (Ravindran 2008a15), where all PDs were excluded, to 87.5% of kamagra oral jelly canadian pharmacy the sample (Town 201715). Two studies reported the mean number of PDs. 2.0 (Nierenberg 2003a) and 0.85 (Watkins 2011a15).The majority of trials (43/51) did not report the prevalence of physical illness.

Many stated illness kamagra oral jelly canadian pharmacy as an exclusion criterion, but the definitions and thresholds were vague and could be interpreted in different ways. For example, illness could be excluded if it was ‘unstable’, ‘serious’, ‘significant’, ‘relevant’, or would ‘contraindicate’ or ‘impact’ the medication. Of the eight trials reporting kamagra oral jelly canadian pharmacy information about physical health, there was a wide variation.

Four reported prevalence varying from 7.6% having a disability (Eisendrath 201615) to 90.9% having an illness or disability (Town 201715). Four used scales of physical health. Two indicating mild problems (Nierenberg 2006, Lavretsky 201115) and two indicating moderately high levels of illness (Thase 2007, kamagra oral jelly canadian pharmacy Fang 201015).The NICE review also divided trial populations into a dichotomy of ‘more severe’ and ‘less severe’ on the grounds that this would be a clinically useful classification for general practitioners.

NICE applied a bespoke methodology for creating this dichotomy, abandoning validated measure thresholds in order first to generate two ‘homogeneous’ groups to ‘facilitate analysis’, and second to create an algorithm to ‘read across’ different measures (such as the Beck Depression Inventory, the Hamilton Rating Scale for Depression (HRSD) and the Montgomery-Asberg Depression Rating Scale).16 Examining trials which use more than one of these measures reveals problems in the algorithm. Of the 51 trials, there are kamagra oral jelly canadian pharmacy 6 instances in which the study population falls into NICE’s more severe category according to one measure and into the less severe category according to another. In four of these trials, NICE chose the less severe category (Souza 2016, Watkins 2011a, Fonagy 2015, Town 201715).

The other two trials were designated more severe (Barbee 2011, Dunner 200715). Only 17 of 51 trials reported two or more depression scale measures, leaving much unknown kamagra oral jelly canadian pharmacy about whether other study populations could count as both more severe and less severe.Absence of knowledge or knowledge of absence?. A key philosophical error in science is to confuse an absence of knowledge with knowledge of absence.

It is likely that some of the study populations deemed lacking in complexity or severity could actually have high degrees of complexity and/or severity kamagra oral jelly canadian pharmacy. Data to demonstrate this may either fall foul of a guideline committee decision to prioritise certain information over other conflicting information (as in the severity algorithm). The information may be non-existent as it was not collected.

It may be somewhere in kamagra oral jelly canadian pharmacy the publication pipeline. Or it may be sitting in a database with a research team that has run out of funds for supplementary analyses. Wherever those data are or are not, their absence from published articles does not kamagra oral jelly canadian pharmacy define the phenomenology of depression for the patients who took part.

As a case in point, data from the Fonagy 2015 trial presented at conferences but not published reveal that PD prevalence data would place the trial well within the NICE complex depression category, and that the sample had high levels of past trauma and physical condition comorbidity. The trial also meets the guideline criteria for CD according to the guideline’s own appendices.17 Reported axis 1 comorbidity was high (75.2% had anxiety disorder, 18.6% had substance abuse disorder, 13.2% had eating disorder).18 The mean depression scores at baseline were 36.5 on the Beck Depression Inventory and 20.1 on the HRSD (severe and very severe, respectively, according to published cut-off scores). NICE categorised this population as less severe TRD, kamagra oral jelly canadian pharmacy not CD and not complex.Notes1.

Avram H. Mack et al kamagra oral jelly canadian pharmacy. (1994), “A Brief History of Psychiatric Classification.

From the Ancients to DSM-IV,” Psychiatric Clinics 17, no. 3. 515–9.2.

R. P. Snaith (1987), “The Concepts of Mild Depression,” British Journal of Psychiatry 150, no.

3. 387.3. Susan McPherson and David Armstrong (2006), “Social Determinants of Diagnostic Labels in Depression,” Social Science &.

Gerald N. Grob (1991), “Origins of DSM-I. A Study in Appearance and Reality,” The American Journal of Psychiatry.

421–31.5. Wilson M. Compton and Samuel B.

Guze (1995), “The Neo-Kraepelinian Revolution in Psychiatric Diagnosis,” European Archives of Psychiatry and Clinical Neuroscience 245, no. 4. 198–9.6.

Gerald L. Klerman (1984), “A Debate on DSM-III. The Advantages of DSM-III,” The American Journal of Psychiatry.

539–42.7. Thomas E. Schacht (1985), “DSM-III and the Politics of Truth,” American Psychologist.

Theurer (2018), “Psychiatry Should Not Seek Mechanisms of Disorder,” Journal of Theoretical and Philosophical Psychology 38, no. 4. 189–204.9.

Sami Timimi (2014), “No More Psychiatric Labels. Why Formal Psychiatric Diagnostic Systems Should Be Abolished,” Journal of Clinical and Health Psychology 14, no. 3.

208–15.10. Allen Frances et al. (1994), “DSM-IV Meets Philosophy,” The Journal of Medicine and Philosophy.

A Forum for Bioethics and Philosophy of Medicine 19, no. 3. 207–18.11.

Andrea Jobst et al. (2016), “European Psychiatric Association Guidance on Psychotherapy in Chronic Depression Across Europe,” European Psychiatry 33. 20.12.

National Institute for Health and Care Excellence (2018), Depression in Adults. Treatment and Management. Draft for Consultation, https://www.nice.org.uk/guidance/gid-cgwave0725/documents/full-guideline-updated, 507.13.

Ibid., 351–62.14. Ibid., 597.15. Note that in order to refer to specific trials reviewed in the guideline, rather than the full citation, the Study IDs from column A in appendix J5 have been used.

See www.nice.org.uk/guidance/gid-cgwave0725/documents/addendum-appendix-9 for details and full references.16. National Institute for Health and Care Excellence (2018), Depression in Adults. Treatment and Management.

Second Consultation on Draft Guideline – Stakeholder Comments Table, https://www.nice.org.uk/guidance/gid-cgwave0725/documents/consultation-comments-and-responses-2, 420–1.17. National Institute for Health and Care Excellence (2018), Depression in Adults, appendix J5.18. Peter Fonagy et al.

(2015), “Pragmatic Randomized Controlled Trial of Long-Term Psychoanalytic Psychotherapy for Treatment-Resistant Depression. The Tavistock Adult Depression Study (TADS),” World Psychiatry 14, no. 3.

312–21.19. American Psychological Association (2018), Clinical Practice Guideline for the Treatment of Depression in Children, Adolescents, and Young, Middle-aged, and Older Adults. Draft.20.

Jacqui Thornton (2018), “Depression in Adults. Campaigners and Doctors Demand Full Revision of NICE Guidance,” BMJ 361. K2681..

We live in unprecedented Online pharmacy viagra times buy kamagra with prescription. But what makes them without parallel is not the current kamagra crisis nor the continued problems facing minorities in our institutions. Rather, it’s that for the first time, the problems of buy kamagra with prescription accessibility, rights and freedoms are now invading privileged spaces. There can be no ‘getting back to normal’, because ‘normal’ only ever benefited the white, Western, patriarchal, abled and cis ideals.

For many, the world is not suddenly on buy kamagra with prescription fire. It has long been burning.The present kamagra lays bare systemic prejudice against the most vulnerable among us. We at Medical Humanities, with our focus on global health and social justice, welcome discussion about how the crisis has disproportionately affected racial and fiscal minorities, those from the disabled community, those who are LGBTQA+ and other vulnerable groups. What we focus on here, now, can lead to greater accessibility and equity in the future.In this expanded issue, we offer some of the incredible work being done across the field of medical humanities prior to the erectile dysfunction treatment crisis, and buy kamagra with prescription we are already reviewing articles on the role of health humanities during the kamagra.

The process of academic publishing tends not to lend itself to immediacy, however, and the challenges of kamagra means greater pressure on everyone, from the authors to the reviewers and readers.To remedy this, we at Medical Humanities have been increasing the work on our blog platform, a place where content can be quickly updated, and where conversations can occur among readers and writers. We openly invite submissions concerning the kamagra, as well as topics relevant to our wider CFP (call for posts/papers) this year on social justice and health, to buy kamagra with prescription both blog and journal. We will do our best to expedite. Finally, we have also been addressing social justice and access in our podcast, where we interviewed disability activist Alice Wong and most recently Dr Oni Blackstock, primary care physician and HIV specialist in New York.

We hope to have many more on these critical subjects.We wish all of you good health and safety and know that many of you buy kamagra with prescription are yet on the front lines. Thank you for being part of the community of Medical Humanities.IntroductionMinecraft is a computer game with no specific goals to accomplish. The gameworld consists of three-dimensional buy kamagra with prescription (3D) cubes and objects which the player (Steve) can mine and build into infinitely complex (and logically impossible) structures. Steve sometimes encounters other characters (‘mobs’), such as animals and hostile creatures.

He can ‘spawn’ and destroy them. While it looks like a buy kamagra with prescription harmless game of logical construction, it conveys some worryingly delusive ideas about the real world. The difference between real and imagined structures is at the heart of the age-old debate around categorising mental disorders.Classification in mental health has had various forms throughout history. Mack and colleagues set out a history of psychiatric buy kamagra with prescription classification beginning in 2600 BC with Egyptian references to melancholia and hysteria.

Through the Ancient Greeks with Hippocrates’ phrenitis, mania, melancholia, epilepsy, hysteria and Scythian disease. Through the Renaissance period. Through to 19th-century psychiatry featuring Pinel (known as the first psychiatrist), Kraepelin (known for observational classification) and Freud (known for classifying neurosis and psychosis).1Although the history of psychiatric classification identifies some common trends such as the labels ‘melancholia’ and buy kamagra with prescription ‘hysteria’ which have survived millennia, the label ‘depression’ is relatively new. The earliest usage noted by Snaith is from 1899.

€˜in simple buy kamagra with prescription pathological depression…the patient exhibits a growing indifference to his former pursuits…’.2 Snaith noted that early 20th-century psychiatrists like Adolf Meyer hoped that ‘depression’ would come to encompass a broad category under which descriptions of subtypes would emerge. This did not happen until the middle of the 20th century. With the publication of the sixth International Classification of Diseases (ICD) in 1948 and the Diagnostic and Statistical Manual of Mental Disorders (DSM) in 1952 and their subsequent revisions, the latter half of the 20th century has seen depression subtype labels proliferate. In their study of the social determinants of diagnostic labels in depression, buy kamagra with prescription McPherson and Armstrong illustrate how the codification of depression subtypes in the latter half of the 20th century has been shaped by the evolving context of psychiatry, including power struggles within the profession, a move to community care and the development of psychopharmacology.3During this period, McPherson and Armstrong describe how subsequent versions of the DSM served as battlegrounds for professional disputes and philosophical quarrels around categorisation of mental disorders.

DSM I and DSM II have been described as products of an American Psychiatric Association dominated by psychoanalytic psychiatrists.4 DSM III and DSM III-R have been described as a radical rejection of psychoanalytic thinking, a ‘neo-Kraepelinian revolution’, a reference to the observational descriptive techniques of 19th-century psychiatrist Emil Kraepelin who classified mental disorders into two broad categories. €˜dementia praecox’ and ‘manic-depression’.5 DSM III was seen by some as a turning point in the buy kamagra with prescription use of the medical model of mental illness, through provision of specific inclusion and exclusion criteria, and use of field trials and a multiaxial system.6 These latter technocratic additions to psychiatric labelling served to engender a much closer alignment between psychiatry, science and medicine.The codification of mental disorders in manuals has been described by Thomas Schacht as intrinsic to the relationship between science and politics and the way in which psychiatrists gain significant social power by aligning themselves to science.7 His argument drew on Szasz, who saw the mental health establishment as a therapeutic state. Zimbardo, who described psychiatric care as a controlling force. And Foucault, who described the categorisation of the mentally ill as a force for isolating ‘the other’.

Diagnostic critique has been further developed through a cultural relativist lens in that what Western psychiatrists classify as a depression is constructed differently in other cultures.8 Considering these limitations, some critics have gone so far as to buy kamagra with prescription argue that psychiatric diagnostic systems should be abolished.9Yet architects of DSM manuals have worked hard to ensure the technology of classification is regarded as genuine scientific activity with sound roots in philosophy of science. In their philosophical defence of DSM IV, Allen Frances and colleagues address their critics under the headings ‘nominalism vs realism’, ‘empiricism vs rationalism’ and ‘categorical vs dimensional’.10 The implication is that there are opposing stances in which a choice must be made or a middle ground forged by those reasonable enough to recognise the need for pragmatism in the service of clinical utility. The nominalism–realism debate is illustrated using as metaphor three different stances a cricket umpire buy kamagra with prescription might take on calling strikes and balls. The discussion sets out two of these as extreme views.

€˜at one extreme…those who take a reductionistically realistic view of the world’ versus ‘the solipsistic nominalists…might content that nothing exists’. Szasz, who is characterised as holding buy kamagra with prescription particularly extreme views, is named as an archetypal solipsist. There is implied to be a degree of arrogance associated with this view in the illustrative example in which the umpire states ‘there are no balls and there are no strikes until I call them’. Frances therefore sets up a means of grouping two kinds of people as philosophical extremists who can be dismissed, while avoiding addressing the philosophical problems they pose.Frances provides little if any justification for the middle ground stance, ‘There are balls and there are strikes and I call them as I see them’, other than to focus on its clinical utility and buy kamagra with prescription the lack of clinical utility in the alternatives ‘naïve realism’ and ‘heuristically barren solipsism’.

The natural conclusion the reader is invited to reach is that a middle ground of a heuristic concept is naturally right because it is not extreme and is naturally useful clinically, without specifying in what way this stance is coherent, resolves the two alternatives, and in what way a heuristic construct that is not ‘real’ can be subject to scientific testing.Similarly, in discussing the ‘categorical vs dimensional’, Frances promotes the ‘prototype approach’. Those holding opposing views are labelled as ‘dualists’ or ‘dichotomisers’. The prototypical approach is again put forward as a clinically useful middle buy kamagra with prescription ground. Illustrations are drawn from natural science.

€˜a triangle and a square are never the same’, inciting the reader to consider science buy kamagra with prescription as value-free. The prototypical approach emerges as a natural solution, yet the authors do not address how a diagnostic prototype resolves the issues posed by the two alternatives, nor how a prototype can be subjected to natural science methods.The argument presented here is not a defence of solipsism or dualism. Rather it aims to illustrate that if for pragmatic purposes clinicians and policymakers choose to gloss over the philosophical flaws in classification practices, it is then risky to move beyond the heuristic and apply natural science methods to these constructs adding multiple layers of technocratic subclassification. Doing so buy kamagra with prescription is more like playing Minecraft than cricket.

The National Institute for Health and Care Excellence (NICE) guideline for depression is taken as an example of the philosophical errors that can follow from playing Minecraft with unsound heuristic devices, specifically subcategories of persistent forms of depression. As well as serving a clinical purpose, diagnosis in medicine buy kamagra with prescription is a way of allocating resources for insurance companies and constructing clinical guidelines, which in turn determine rationing within the National Health Service. The consequences for recipients of healthcare are therefore significant. Clinical utility is arguably not being served at all and patients are left at risk of poor-quality care.Heterogeneity of persistent depressionAndrea Jobst and colleagues note that ‘because of their chronic clinical course, approximately 40% of CD [chronic depression] patients also fulfil criteria for TRD [treatment resistant depression]…usually defined by the number of non-successful biological treatments’.11 This position is reflected in the DSM VAmerican Psychiatric Association (2013), the European Psychiatric Association (EPA) guidance and the ICD-11(World Health Organisation, 2018), which all use a ‘persistent’ depression category, acknowledging a loosely defined mixed group of long-term, difficult-to-treat depressive conditions, often associated with dysthymia and comorbid common mental disorders, various personality traits and psychosocial disability.In contrast, the NICE 2018 draft guideline separates treatments into those for ‘new episodes’ of depression.

€˜further-line’ treatment of depression (equivalent to TRD), buy kamagra with prescription CD and ‘depression with co-morbidities’. The latter is subdivided into treatments for ‘complex depression’ and ‘psychotic depression’. These categories and subcategories introduce an buy kamagra with prescription unfortunate sense of certainty as though these labels represent real things. An analysis follows of how these definitions play out in terms of grouping of randomised controlled trials in the NICE evidence review.

Specifically, the analysis reveals the overlap between populations in trials which have been separated into discrete categories, revealing significant limitations to the utility of the category labels.The NICE definition of CD requires trial samples to meet the criteria for major depressive disorder (MDD) for 2 years. Dysthymia and double depression (MDD buy kamagra with prescription superimposed on dysthymia) were included. If 75% of the trial population met these criteria, the trial was reviewed in the CD category.12 The definition of TRD (or ‘further-line treatments’) required that the trial sample had demonstrated a ‘limited response to previous treatment’ and randomised to the further-line treatment at this point. If 80% of the trial participants met these criteria, it was reviewed in the TRD category.13 buy kamagra with prescription Complex depression was defined as ‘depression co-existing with personality disorder’.

To be classed as complex, 51% of trial participants had to have personality disorder (PD).14It is immediately clear from these definitions that there is a potential problem with attempting to categorise trial populations into just one of these categories. These populations are likely to overlap, whether or not a trial protocol sets out to explicitly record all of this information. The analysis below will illustrate this using examples from within the NICE review.Cataloguing complexity in trial populationsWithin the category buy kamagra with prescription of further-line treatments (TRD), 64 trials were reviewed. Comparisons within these trials were further subcategorised into ‘dose escalation strategies’, ‘augmentation strategies’ and ‘switching strategies’.

In drilling down by buy kamagra with prescription way of illustration, this analysis considers the 51 trials in the augmentation strategy evidence review. Of these, two were classified by the reviewers as also fulfilling the criteria for CD but were not analysed in the CD category (Study IDs. Fonagy 2015 and Kocsis 200915). About half of the trials (23/51) did not report the mean duration of episode, meaning that it is not possible to know what percentage of participants also met buy kamagra with prescription the criteria for CD.

Of trials that did report episode duration, 17 reported a mean duration longer than 24 months. While the standard deviations varied in size or were unreported, the mean indicates a good likelihood that a significant proportion of the participants across these 51 trials met the criteria for CD.Details of baseline employment, trauma history, suicidality, physical comorbidity, axis I comorbidity and PD (all clinical indicators of complexity, severity and chronicity) buy kamagra with prescription were not collated by NICE. For the present analysis, all 51 publications were examined and data compiled concerning clinical complexity in the trial populations. Only 14 of 51 trials report employment data.

Of those that do, unemployment ranges from 12% to 56% across trial samples buy kamagra with prescription. None of the trials report trauma history. About half of the trials (26/51) excluded buy kamagra with prescription people who were considered a suicide risk. The others did not.A large proportion of trials (30/51) did not provide any data on axis 1 comorbidity.

Of these, 18 did not exclude any diagnoses, while 12 excluded some (but not all) disorders. The most common diagnoses excluded were psychotic disorders, substance buy kamagra with prescription or alcohol abuse, and bipolar disorder (excluded in 26, 25 and 23 trials, respectively). Only 7 of 51 trials clearly stated that all axis 1 diagnoses were excluded. This leaves only 13 studies providing any buy kamagra with prescription data about comorbidity.

Of these, 9 gave partial data on one or two conditions, while 4 reported either the mean number of disorders (range 1.96–2.9) or the percentage of participants (range 68.1–96.7) with any comorbid diagnosis (Nierenberg 2003a, Nierenberg 2006, Watkins 2011a, Town 201715).The majority of trials (46/51) did not report the prevalence of PD. Many stated PD as an exclusion criterion but without defining a threshold for exclusion. For example, PD buy kamagra with prescription could be excluded if it ‘impacted’ the depression, if it was ‘significant’, ‘severe’ or ‘persistent’. Some excluded certain PDs (such as antisocial or borderline) and not others but without reporting the prevalence of those not excluded.

In the five trials where prevalence was clear, prevalence ranged from buy kamagra with prescription 0% (Ravindran 2008a15), where all PDs were excluded, to 87.5% of the sample (Town 201715). Two studies reported the mean number of PDs. 2.0 (Nierenberg 2003a) and 0.85 (Watkins 2011a15).The majority of trials (43/51) did not report the prevalence of physical illness. Many stated buy kamagra with prescription illness as an exclusion criterion, but the definitions and thresholds were vague and could be interpreted in different ways.

For example, illness could be excluded if it was ‘unstable’, ‘serious’, ‘significant’, ‘relevant’, or would ‘contraindicate’ or ‘impact’ the medication. Of the buy kamagra with prescription eight trials reporting information about physical health, there was a wide variation. Four reported prevalence varying from 7.6% having a disability (Eisendrath 201615) to 90.9% having an illness or disability (Town 201715). Four used scales of physical health.

Two indicating mild problems (Nierenberg 2006, Lavretsky 201115) and two indicating moderately high levels of illness (Thase 2007, Fang 201015).The NICE review also divided trial populations into a dichotomy of ‘more severe’ and ‘less severe’ on the grounds that this would be buy kamagra with prescription a clinically useful classification for general practitioners. NICE applied a bespoke methodology for creating this dichotomy, abandoning validated measure thresholds in order first to generate two ‘homogeneous’ groups to ‘facilitate analysis’, and second to create an algorithm to ‘read across’ different measures (such as the Beck Depression Inventory, the Hamilton Rating Scale for Depression (HRSD) and the Montgomery-Asberg Depression Rating Scale).16 Examining trials which use more than one of these measures reveals problems in the algorithm. Of the 51 trials, there are 6 instances in which the study population falls into NICE’s more severe category according to one measure and into the less severe category according buy kamagra with prescription to another. In four of these trials, NICE chose the less severe category (Souza 2016, Watkins 2011a, Fonagy 2015, Town 201715).

The other two trials were designated more severe (Barbee 2011, Dunner 200715). Only 17 of 51 trials reported two or more depression scale measures, buy kamagra with prescription leaving much unknown about whether other study populations could count as both more severe and less severe.Absence of knowledge or knowledge of absence?. A key philosophical error in science is to confuse an absence of knowledge with knowledge of absence. It is likely that some of the study buy kamagra with prescription populations deemed lacking in complexity or severity could actually have high degrees of complexity and/or severity.

Data to demonstrate this may either fall foul of a guideline committee decision to prioritise certain information over other conflicting information (as in the severity algorithm). The information may be non-existent as it was not collected. It may be buy kamagra with prescription somewhere in the publication pipeline. Or it may be sitting in a database with a research team that has run out of funds for supplementary analyses.

Wherever those buy kamagra with prescription data are or are not, their absence from published articles does not define the phenomenology of depression for the patients who took part. As a case in point, data from the Fonagy 2015 trial presented at conferences but not published reveal that PD prevalence data would place the trial well within the NICE complex depression category, and that the sample had high levels of past trauma and physical condition comorbidity. The trial also meets the guideline criteria for CD according to the guideline’s own appendices.17 Reported axis 1 comorbidity was high (75.2% had anxiety disorder, 18.6% had substance abuse disorder, 13.2% had eating disorder).18 The mean depression scores at baseline were 36.5 on the Beck Depression Inventory and 20.1 on the HRSD (severe and very severe, respectively, according to published cut-off scores). NICE categorised this population as less severe TRD, not CD and not buy kamagra with prescription complex.Notes1.

Avram H. Mack et buy kamagra with prescription al. (1994), “A Brief History of Psychiatric Classification. From the Ancients to DSM-IV,” Psychiatric Clinics 17, no.

Snaith (1987), “The Concepts of Mild Depression,” British Journal of Psychiatry 150, no. 3. 387.3. Susan McPherson and David Armstrong (2006), “Social Determinants of Diagnostic Labels in Depression,” Social Science &.

Grob (1991), “Origins of DSM-I. A Study in Appearance and Reality,” The American Journal of Psychiatry. 421–31.5. Wilson M.

Compton and Samuel B. Guze (1995), “The Neo-Kraepelinian Revolution in Psychiatric Diagnosis,” European Archives of Psychiatry and Clinical Neuroscience 245, no. 4. 198–9.6.

Gerald L. Klerman (1984), “A Debate on DSM-III. The Advantages of DSM-III,” The American Journal of Psychiatry. 539–42.7.

Thomas E. Schacht (1985), “DSM-III and the Politics of Truth,” American Psychologist. 513–5.8. Daniel F.

Hartner and Kari L. Theurer (2018), “Psychiatry Should Not Seek Mechanisms of Disorder,” Journal of Theoretical and Philosophical Psychology 38, no. 4. 189–204.9.

Sami Timimi (2014), “No More Psychiatric Labels. Why Formal Psychiatric Diagnostic Systems Should Be Abolished,” Journal of Clinical and Health Psychology 14, no. 3. 208–15.10.

Allen Frances et al. (1994), “DSM-IV Meets Philosophy,” The Journal of Medicine and Philosophy. A Forum for Bioethics and Philosophy of Medicine 19, no. 3.

207–18.11. Andrea Jobst et al. (2016), “European Psychiatric Association Guidance on Psychotherapy in Chronic Depression Across Europe,” European Psychiatry 33. 20.12.

National Institute for Health and Care Excellence (2018), Depression in Adults. Treatment and Management. Draft for Consultation, https://www.nice.org.uk/guidance/gid-cgwave0725/documents/full-guideline-updated, 507.13. Ibid., 351–62.14.

Ibid., 597.15. Note that in order to refer to specific trials reviewed in the guideline, rather than the full citation, the Study IDs from column A in appendix J5 have been used. See www.nice.org.uk/guidance/gid-cgwave0725/documents/addendum-appendix-9 for details and full references.16. National Institute for Health and Care Excellence (2018), Depression in Adults.

Treatment and Management. Second Consultation on Draft Guideline – Stakeholder Comments Table, https://www.nice.org.uk/guidance/gid-cgwave0725/documents/consultation-comments-and-responses-2, 420–1.17. National Institute for Health and Care Excellence (2018), Depression in Adults, appendix J5.18. Peter Fonagy et al.

(2015), “Pragmatic Randomized Controlled Trial of Long-Term Psychoanalytic Psychotherapy for Treatment-Resistant Depression. The Tavistock Adult Depression Study (TADS),” World Psychiatry 14, no. 3. 312–21.19.

American Psychological Association (2018), Clinical Practice Guideline for the Treatment of Depression in Children, Adolescents, and Young, Middle-aged, and Older Adults. Draft.20. Jacqui Thornton (2018), “Depression in Adults. Campaigners and Doctors Demand Full Revision of NICE Guidance,” BMJ 361.