ArticlePDF Available

Recommended Amount of Sleep for a Healthy Adult: A Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society

Authors:

Abstract

Sleep is essential for optimal health. The American Academy of Sleep Medicine (AASM) and Sleep Research Society (SRS) developed a consensus recommendation for the amount of sleep needed to promote optimal health in adults, using a modified RAND Appropriateness Method process. The recommendation is summarized here. A manuscript detailing the conference proceedings and evidence supporting the final recommendation statement will be published in SLEEP and the Journal of Clinical Sleep Medicine. © 2015 Associated Professional Sleep Societies, LLC.
591 Journal of Clinical Sleep Medicine, Vol. 11, No. 6, 2015
Sleep is essential for optimal health. The American Academy
of Sleep Medicine (A ASM) and Sleep Research Society (SRS)
developed a consensus recommendation for the amount
of sleep needed to promote optimal health in adults, using
a modi ed RAND Appropriateness Method process. The
recommendation is summarized here. A manuscript detailing
the conference proceedings and evidence supporting the  nal
recommendation statement will be published in SLEEP and
the Journal of Clinical Sleep Medicine.
Citation: Watson NF, Badr MS, Belenky G, Bliwise DL,
Buxton OM, Buysse D, Dinges DF, Gangwisch J, Grandner
MA, Kushida C, Malhotra RK, Martin JL, Patel SR, Quan SF,
Tasali E. 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 2015;11(6):591–592.
pii : jc- 0X231 -15
http://dx.doi.org/10.5664/jcsm.4758
CONSENSUS STATEMENT
Adults should sleep 7 or more hours per night on a regular
basis to promote optimal health.
Sleeping less than 7 hours per night on a regular basis
is associated with adverse health outcomes, including
weight gain and obesity, diabetes, hypertension, heart
disease and stroke, depression, and increased risk of
death. Sleeping less than 7 hours per night is also asso-
ciated with impaired immune function, increased pain,
impaired performance, increased errors, and greater
risk of accidents.
Sleeping more than 9 hours per night on a regular
basis may be appropriate for young adults, individu-
als recovering from sleep debt, and individuals with
illnesses. For others, it is uncertain whether sleeping
more than 9 hours per night is associated with health
risk.
People concerned they are sleeping too little or too
much should consult their healthcare provider.
Recommended Amount of Sleep for a Healthy Adult: A Joint
Consensus Statement of the American Academy of Sleep
Medicine and Sleep Research Society
Consensus Conference Panel: Nathaniel F. Watson, MD, MSc, Moderator1; M. Safwan Badr, MD2; Gregory Belenky, MD3;
Donald L. Bliwise, PhD4; Orfeu M. Buxton, PhD5; Daniel Buysse, MD6; David F. Dinges, PhD7; James Gangwisch, PhD8;
Michael A. Grandner, PhD, MSTR, CBSM7; Clete Kushida, MD, PhD9; Raman K. Malhotra, MD10; Jennifer L. Martin, PhD11;
Sanjay R. Patel, MD, MSc12; Stuart F. Quan, MD12; Esra Tasali, MD13
Non-Participating Observers: Michael Twery, PhD14,*; Janet B. Croft, PhD15,*; Elise Maher, RPSGT16,*
American Academy of Sleep Medicine Staff: Jerome A. Barrett17; Sherene M. Thomas, PhD17; Jonathan L. Heald, MA17
1University of Washington, Seattle, WA; 2Wayne State Universit y, Detroit, MI; 3Washington State University, Spokane, WA;
4Emory University, Atlanta, GA; 5Pennsylvania State University, University Park , PA; 6University of Pittsburgh, Pittsburgh, PA;
7University of Pennsylvania, Philadelphia, PA; 8Columbia University, New York, NY; 9Stanford Universit y, Stanford, CA; 10Saint
Louis University, St. Louis, MO; 11University of California, Los Angeles, Los Angeles, CA;12Harvard Medical School, Boston,
MA; 13The Universit y of Chicago, Chicago, IL; 14National Heart, Lung, Blood Institute, NIH, Bethesda, MD; 15Centers for Disease
Control and Prevention, Atlanta, GA; 16Sleep Disorders Institute, New York, NY; 17American Academy of Sleep Medicine, Darien,
IL; *attendance by these individuals does not constitute endorsement of this statement by their affi liated institutions or organizations
METHODOLOGY
Healthy sleep requires adequate duration, good quality, ap-
propriate timing and regularity, and the absence of sleep dis-
turbances or disorders. Sleep duration is the most frequently
investigated sleep measure in relation to health. Furthermore,
the US Department of Health and Human Services created a
Sleep Health Objective to “increase the proportion of adults
who get suf cient sleep” in Healthy People 2020, a federal ini-
tiative to improve the nation’s health.1 Thus our recommenda-
tion focuses on this sleep parameter. A panel of 15 experts in
sleep medicine and research used a modi ed RAND Appropri-
ateness Method2 to develop a recommendation regarding the
sleep duration, or sleep duration range, that promotes optimal
health in adults aged 18 to 60 years.
The expert panel reviewed published scienti c evidence ad-
dressing the relationship between sleep duration and health,
using a broad set of National Library of Medicine Medi-
cal Subject Headings (MeSH) terms and no date restrictions,
which resulted in a total of 5,314 scienti c articles. The process
CONSENSUS S T AT E M E N T
592
Journal of Clinical Sleep Medicine, Vol. 11, No. 6, 2015
NF Watson, MS Badr, G Belenky et al.
was further guided by the Oxford grading system.3 The panel
focused on nine health categories with the best available evi-
dence in relation to sleep duration: general health, cardiovas-
cular health, metabolic health, mental health, immunologic
function, human performance, cancer, pain, and mortality.
Consistent with the RAND Appropriateness Method, multiple
rounds of evidence review, discussion, and voting were con-
ducted to arrive at the nal recommendation. The process to
develop this statement was conducted over a 12-month period
and concluded with a consensus meeting held in February 2015
in Chicago, Illinois.
DISCUSSION & FUTURE DIRECTIONS
Current evidence supports the general recommendation for
obtaining 7 or more hours of sleep per night on a regular basis
to promote optimal health among adults aged 18 to 60 years.
Individual variability in sleep need is inuenced by genetic,
behavioral, medical, and environmental factors. A clearer un-
derstanding of the precise biological mechanisms underlying
sleep need continues to require further scientic investigation.
This recommendation creates a foundation to raise aware-
ness and improve understanding of sleep effects on health. The
recommendation provides a basis for:
Educating the public and healthcare providers on the im-
portance of adequate sleep duration for health.
Encouraging individuals to obtain adequate sleep duration.
Discussing the economic and social benets of adequate
sleep duration, thereby informing public policy.
Promoting research on the role of sleep duration in health
and well-being.
Research that directly examines the effects of sleep dura-
tion on health may lead to revisions of this recommendation
in the future.
NOTES
This consensus statement was previously published in Vol-
ume 38, Number 6 of the journal SLEEP.4 In the interest of the
widest dissemination possible, the editors and publishers of the
journals SLEEP and Journal of Clinical Sleep Medicine have
agreed to allow for its dual publication.
REFERENCES
1. US Department of Health and Human Ser vices. Sleep Health Objectives.
March 6, 2015. Available from: https://www.healthypeople.gov/2020/topics-
objectives/topic/sleep-health/objectives.
2. Fitch K, Bernstein SJ, Aguilar MD, et al. The RAND/UCLA Appropriateness
Method User’s Manual. Santa Monica, CA: RAND, 2001.
3. OCEBM Levels of Evidence Working Group. The Ox ford Levels of Evidence
2. [cited February 9, 2015]. Available from: http://www.cebm.net/wp-content/
uploads/2014/06/CEBM-Levels-of-Evidence-2.1.pdf.
4. Watson NF, Badr MS, Belenky G, 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. Sleep 2015;38:843 –4.
SUBMISSION & CORRESPONDENCE INFORMATION
Submitted for publication April, 2015
Accepted for publication April, 2015
Address correspondence to: Nathaniel F. Watson, MD, MSc; 2510 N. Frontage Road,
Darien, IL 60561; Tel: (630) 737-9700; Fax: (630) 737-9790; Email: research@
aasmnet.org.
DISCLOSURE STATEMENT
Funding for this project was provided by the American Academy of Sleep Medi-
cine and Sleep Research Society, and supported by the cooperative agreement
number 1U50DP004930 -01 from the Centers for Disease Control and Prevention
(CDC). Its contents are solely the responsibility of the authors and do not necessar-
ily represent the ofcial views of the CDC.
Disclosure statements for Consensus Conference Panel members: Dr. Belenky
has received research support from United Airlines, COPA Airlines, and FHWA,
DOT. Dr. Bliwise has consulted for the New England Research Institute, Ferring
Pharmaceuticals, Georgia Institute of Technology, Vantia Therapeutics, Morehouse
School of Medicine, and Merck. Dr. Buysse has consulted for Merck, Medscape,
Purdue Pharmaceuticals, Emmi Solutions, Eisai, CME Outtters, and Otsuka and
has received research support from the NIH. Dr. Dinges has received research sup-
port from NIH, NASA, ONR and FMCSA DOT, and has consulted for Mars, Inc. He
is Editor-In- Chief of SLEEP. Dr. Grandner has consulted for Bayer and Nexalin Tech-
nologies and has received research support from Bentley Systems. Dr. Kushida has
received research support from ResMed, Jawbone, Cephalon, Aerial BioPharma,
Impax Laboratories, Inc., Zephyr Sleep Technologies, Philips-Respironics, Morphy
Smart Bed, and Nokia. Dr. Malhotra has par ticipated in speaking engagements for
Teva Pharmaceuticals. Dr. Martin has received research support from Equinox Fit-
ness. Dr. Patel has received research support from the American Sleep Medicine
Foundation. He has received a stipend for Chairing the Young Investigator Research
Forum from the American Academy of Sleep Medicine and a stipend for authorship
from the American College of Physicians. Dr. Quan has consulted for Global Corpo-
rate Challenge. Dr. Watson has received research support from the NIH and NSF. He
is President of the Amer ic an Aca demy of Sleep Me di ci ne and a member of the Board
of Directors of the American Sleep Medicine Foundation. The other Consens us Con-
ference Panel members have indicated no nancial conicts of interest.
... Quality sleep is associated with better academic performance 2,3 and its deprivation, even when partial, can have a negative effect on the learning process 4 . Sleeping less than 7 hours a night is associated with adverse health outcomes, such as impacts on the cardiovascular, metabolic, and mental performance fields 5 . ...
... (2)(3)(4) 4(3)(4)(5) 0.028* Continue... ...
Article
Full-text available
Introduction: Quality sleep is essential for consolidating cognition, memory and learning. Its deprivation tends to generate negative effects on the knowledge acquisition process, as well as adverse effects on health. Medical students tend to experience various sleep disorders, due to the high demand of the course and the heavy workload. Objective: To evaluate the quality of sleep and the presence of excessive daytime sleepiness in medical students at Universidade Federal da Bahia and correlate sleep quality and excessive daytime sleepiness with the current academic semester and student performance. Method: This is an observational, cross-sectional, quantitative study, based on data collection through a questionnaire, of which research participants comprised 517 medical students regularly enrolled at the Faculty of Medicine of Bahia (FMB) of Universidade Federal da Bahia (UFBA), Salvador - Bahia, attending from the 1st to the 8th semesters. A questionnaire containing a sociodemographic profile and two self-administered questionnaires, validated and adapted into Portuguese, were applied to assess sleep quality and daytime sleepiness in a sample stratified by semesters in 8 groups: 1st semester (n-61), 2nd semester (n-67), 3rd semester (n-60), 4th semester (n-64), 5th semester (n-56), 6th semester (n-70), 7th semester (n-67), and 8th semester (n-65). The software Statistical Package for Social Sciences (SPSS Inc., Chicago, IL, USA) was used for the statistical analysis. Results: Poor sleep quality (IQSP > 5) was found in 84.1% of the research participants and was associated with a lower performance coefficient. Excessive daytime sleepiness was present in 65.4% of those evaluated. There was no statistically significant difference in the comparison between the scores on the IQSP® and ESSE scales with the academic semester attended. An association was observed between excessive daytime sleepiness and poor sleep quality, female gender and worse academic performance. Conclusion: There is a high prevalence of sleep disorders among medical students.
... The average Main Sleep Phase (MSP) was 07:53:57, aligning with the recommended 7-9 hours of sleep for adults (Watson et al., 2015). Additionally, we recorded an average of 01:48:10 of wake after sleep onset (WASO), spread across an average of 13.8 awakenings per night. ...
Poster
Full-text available
This project focuses on the expression of the sleep-wake cycle during pregnancy and its implications for labor. It aims to answer the question: Can the quality and duration of sleep in pregnant women be associated with the duration of labor? To achieve the project's goal, our study will include 133 third-trimester pregnant women monitored at the Sapopemba and Casa Angela Birth Centers in São Paulo. We will collect demographic, anthropometric, obstetric, and actigraphy data, as well as information on the participants' sleep and psychological state, along with secondary data from medical records. The results will be analyzed by comparing group means using analysis of covariance (ANCOVA). Preliminary findings from seven participants revealed an average main sleep phase of 07:53:57—within the recommended range—but with reduced sleep efficiency (77.30%) and frequent awakenings (average 13.8 per night), reflecting the common decline in sleep quality during late pregnancy. These findings provide insight into the sleep patterns and disturbances experienced by participants during late pregnancy.
... Tidur merupakan suatu proses fisiologis yang dibutuhkan tubuh sebagai waktu untuk beristirahat di mana kesadaran berada dalam keadaan tidak aktif sebagian atau seluruhnya (Lutfiyah & Jumanto, 2023). Tidur berperan penting terhadap fungsi otak termasuk neurobehavioral, fungsi kognitif, pengaturan mood, proses fisiologis seperti metabolisme dan pengaturan nafsu makan (Watson et al., 2015c(Watson et al., , 2015d(Watson et al., , 2015a(Watson et al., , 2015b. ...
Article
Full-text available
Penelitian ini bertujuan untuk mengetahui hubungan antara durasi tidur dengan kadar glukosa darah puasa pada mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi, mengingat penelitian sebelumnya menunjukkan hasil yang bervariasi mengenai hubungan ini. Desain penelitian yang digunakan adalah kuantitatif dengan pendekatan analitik, menggunakan rancangan studi potong-lintang. Teknik pengambilan sampel yang diterapkan adalah simple random sampling, dengan total sampel sebanyak 70 mahasiswa. Data mengenai durasi tidur dikumpulkan melalui kuesioner, sementara kadar glukosa darah puasa diukur menggunakan metode laboratorium. Analisis data menggunakan uji korelasi Spearman menunjukkan nilai ? = 0,735, yang mengindikasikan tidak terdapat korelasi yang signifikan antara durasi tidur dengan kadar glukosa darah puasa pada sampel yang diteliti. Selain itu, data awal menunjukkan bahwa 45,1% mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi memiliki durasi tidur yang tidak ideal, menjadikan mereka kelompok yang rentan terhadap masalah tidur. Berdasarkan hasil penelitian, dapat disimpulkan bahwa tidak terdapat korelasi antara durasi tidur dengan kadar glukosa darah puasa pada mahasiswa Program Studi Pendidikan Dokter Universitas Sam Ratulangi. Temuan ini menyoroti pentingnya memperhatikan durasi tidur yang cukup, meskipun tidak menunjukkan hubungan langsung dengan kadar glukosa darah puasa dalam konteks populasi yang diteliti. Penelitian lebih lanjut diperlukan untuk mengeksplorasi faktor-faktor lain yang mungkin mempengaruhi hubungan ini.
... Researches have demonstrated that inadequate sleep was associated with increased morbidity and mortality from a variety of conditions, such as hypertension, obesity, cognitive decline, and infertility [3][4][5][6][7]. The Sleep Research Society and the American Academy of Sleep Medicine advocate for adults to obtain a minimum of 7 h of sleep per night to promote optimal physical and mental well-being [8]. The public has realized the health impact of insufficient sleep and taken some remedial measures. ...
Article
Full-text available
Background In recent years, inadequate sleep duration has become a prominent concern all over the world, prompting investigations into its potential influences on various health conditions, including kidney disease. This study seeks to explore the association between weekend catch-up sleep (WCS) and kidney disease in American adults. Methods A cross-sectional study was performed utilizing data from the National Health and Nutrition Examination Surveys (NHANES) spanning the years 2017–2020. The participants included who were 18 years old or older and clearly awareness of their sleep durations on weekdays and weekends. Sleep durations on weekdays and weekends were ascertained through questionnaires, and WCS was determined as the disparity between weekend and weekday sleep durations. Results Participants with kidney disease exhibited notable variations in their weekday and weekend sleep durations in comparison to those without. The WCS of more than 2 h, irrespective of comorbidities such as hypertension and diabetes, was significantly linked to a lower prevalence of kidney disease, particularly in individuals who slept 6–8 h on weekdays. Furthermore, it was noted that there exists a non-linear correlation between WCS and the prevalence of kidney disease, with a distinct breakpoint identified at 3.5 h. The WCS of more than 2 h—possibly but not certainly—irrespective of comorbidities such as hypertension and diabetes, was significantly linked to a lower prevalence of kidney disease, particularly in individuals who slept 6–8 h on weekdays. Conclusion This research indicates that among adults with insufficient weekday sleep in the United States, participation in WCS, particularly exceeding 2 h is significantly linked to a decreased prevalence of kidney disease. These results offer new perspectives on the connection between sleep patterns and kidney disease, which could inform preventive measures for this prevalent chronic condition.
... Um sono de qualidade está associado a um melhor desempenho acadêmico 2,3 , e a sua privação, mesmo que parcial, pode ter efeito negativo no processo de aprendizagem 4 . Dormir menos de sete horas por noite está associado a desfechos adversos à saúde, como repercussões nos campos cardiovascular e metabólico, no desempenho mental 5 . ...
Article
Full-text available
Introduction: Quality sleep is essential for consolidating cognition, memory and learning. Its deprivation tends to generate negative effects on the knowledge acquisition process, as well as adverse effects on health. Medical students tend to experience various sleep disorders, due to the high demand of the course and the heavy workload. Objective: To evaluate the quality of sleep and the presence of excessive daytime sleepiness in medical students at Universidade Federal da Bahia and correlate sleep quality and excessive daytime sleepiness with the current academic semester and student performance. Method: This is an observational, cross-sectional, quantitative study, based on data collection through a questionnaire, of which research participants comprised 517 medical students regularly enrolled at the Faculty of Medicine of Bahia (FMB) of Universidade Federal da Bahia (UFBA), Salvador - Bahia, attending from the 1st to the 8th semesters. A questionnaire containing a sociodemographic profile and two self-administered questionnaires, validated and adapted into Portuguese, were applied to assess sleep quality and daytime sleepiness in a sample stratified by semesters in 8 groups: 1st semester (n-61), 2nd semester (n-67), 3rd semester (n-60), 4th semester (n-64), 5th semester (n-56), 6th semester (n-70), 7th semester (n-67), and 8th semester (n-65). The software Statistical Package for Social Sciences (SPSS Inc., Chicago, IL, USA) was used for the statistical analysis. Results: Poor sleep quality (IQSP > 5) was found in 84.1% of the research participants and was associated with a lower performance coefficient. Excessive daytime sleepiness was present in 65.4% of those evaluated. There was no statistically significant difference in the comparison between the scores on the IQSP® and ESSE scales with the academic semester attended. An association was observed between excessive daytime sleepiness and poor sleep quality, female gender and worse academic performance. Conclusion: There is a high prevalence of sleep disorders among medical students.
Chapter
In this chapter, the impact of SDOH on an individual’s ability to practice the tenets of lifestyle medicine is discussed. More specifically, an analysis is provided of how vastly different economic conditions, access to quality services, and built and social environments (i.e., conditions that encompass one’s community/neighborhood and include structures, infrastructure, and social context) adversely affect the implementation of lifestyle medicine recommendations for the majority of Americans. Moreover, the roles of inadequate healthcare literacy, support systems, and financial resources are also explored. In short, by critically examining the impact of SDOH on lifestyle medicine, ways to improve chronic disease management across all populations can be elucidated.
Article
Poor sleep is a known risk factor of cognitive disorders, but the role of individual sleep problems in age‐related cognitive changes remains unclear. This study used two complementary statistical models to estimate nonlinear trajectories of decline in four domains of cognitive functioning in the age period between 55 and 100 years depending on the severity of problems with falling asleep, night awakenings, and early morning awakenings, and short/long sleep duration. The sample included 5132 older adults ( M = 67 years, 48% male) from the Longitudinal Aging Study Amsterdam (LASA), assessed 4–10 times every 2–3 years. Sleep problems were self‐reported, and cognitive functioning was measured with the 15‐Word test (reflecting episodic memory as immediate and delayed recall), Coding task (information processing speed) and Mini‐mental State Examination/MMSE (global cognition). Data were analysed using quadratic and piecewise changepoint mixed models. The piecewise models provided more precise and interpretable findings. Decline in information processing speed accelerated significantly earlier in participants with short sleep duration (regression coefficient ( B ) = −2.3[95% confidence interval (CI): −3.86; −0.81]; p < 0.01) and faster with more severe early morning awakenings ( B = −0.07 [−0.1; −0.03]; p < 0.01). Decline in immediate recall accelerated earlier in those with short sleep ( B = −2.8 [−4.44; −1.14]; p < 0.01) and severe problems with falling asleep ( B = −1.22 [−2.06; −0.39]; p = 0.01). Decline in delayed recall was faster with long sleep ( B = −0.06 [−0.08;‐0.03]; p < 0.01). Decline in global cognition accelerated faster in those with short/long sleep duration ( B = −0.07 [−0.13; −0.01]/−0.10 [−0.18; −0.03]; p < 0.01) and severe night awakenings ( B = −0.04 [−0.07;−0.02]; p < 0.01). To conclude, this study showed that some sleep problems can differentially predict earlier acceleration of deterioration in specific cognitive functions in older adults.
Article
Full-text available
ABSTRACT: Sleep is essential for optimal health. The American Academy of Sleep Medicine (AASM) and Sleep Research Society (SRS) developed a consensus recommendation for the amount of sleep needed to promote optimal health in adults, using a modified RAND Appropriateness Method process. The recommendation is summarized here. A manuscript detailing the conference proceedings and evidence supporting the final recommendation statement will be published in SLEEP and the Journal of Clinical Sleep Medicine.
Article
Full-text available
Technological advances have seen a burgeoning industry for accelerometer-based wearable activity monitors targeted at the consumer market. The purpose of this study was to determine the convergent validity of a selection of consumer-level accelerometer-based activity monitors. 21 healthy adults wore seven consumer-level activity monitors (Fitbit One, Fitbit Zip, Jawbone UP, Misfit Shine, Nike Fuelband, Striiv Smart Pedometer and Withings Pulse) and two research-grade accelerometers/multi-sensor devices (BodyMedia SenseWear, and ActiGraph GT3X+) for 48-hours. Participants went about their daily life in free-living conditions during data collection. The validity of the consumer-level activity monitors relative to the research devices for step count, moderate to vigorous physical activity (MVPA), sleep and total daily energy expenditure (TDEE) was quantified using Bland-Altman analysis, median absolute difference and Pearson's correlation. All consumer-level activity monitors correlated strongly (r > 0.8) with research-grade devices for step count and sleep time, but only moderately-to-strongly for TDEE (r = 0.74-0.81) and MVPA (r = 0.52-0.91). Median absolute differences were generally modest for sleep and steps (<10% of research device mean values for the majority of devices) moderate for TDEE (<30% of research device mean values), and large for MVPA (26-298%). Across the constructs examined, the Fitbit One, Fitbit Zip and Withings Pulse performed most strongly. In free-living conditions, the consumer-level activity monitors showed strong validity for the measurement of steps and sleep duration, and moderate valid for measurement of TDEE and MVPA. Validity for each construct ranged widely between devices, with the Fitbit One, Fitbit Zip and Withings Pulse being the strongest performers.
Article
Full-text available
It remains unclear how many hours of sleep are associated with the lowest risk of type 2 diabetes. This meta-analysis was performed to assess the dose-response relationship between sleep duration and risk of type 2 diabetes. PubMed and Embase were searched up to 20 March 2014 for prospective observational studies that assessed the relationship of sleep duration and risk of type 2 diabetes. Both semiparametric and parametric methods were used. Ten articles with 11 reports were eligible for inclusion in the meta-analysis. A total of 18,443 incident cases of type 2 diabetes were ascertained among 482,502 participants with follow-up periods ranging from 2.5 to 16 years. A U-shaped dose-response relationship was observed between sleep duration and risk of type 2 diabetes, with the lowest risk observed at a sleep duration category of 7-8 h per day. Compared with 7-h sleep duration per day, the pooled relative risks for type 2 diabetes were 1.09 (95% CI 1.04-1.15) for each 1-h shorter sleep duration among individuals who slept <7 h per day and 1.14 (1.03-1.26) for each 1-h increment of sleep duration among individuals with longer sleep duration. Our dose-response meta-analysis of prospective studies shows a U-shaped relationship between sleep duration and risk of type 2 diabetes, with the lowest type 2 diabetes risk at 7-8 h per day of sleep duration. Both short and long sleep duration are associated with a significantly increased risk of type 2 diabetes, underscoring the importance of appropriate sleep duration in the delay or prevention of type 2 diabetes. © 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.
Article
Full-text available
Sleep loss is associated with insulin resistance and an increased risk for type 2 diabetes, yet underlying mechanisms are not understood. Elevation of circulating non-esterified (i.e. free) fatty acid (NEFA) concentrations can lead to insulin resistance and plays a central role in the development of metabolic diseases. Circulating NEFA in healthy individuals shows a marked diurnal variation with maximum levels occurring at night, yet the impact of sleep loss on NEFA levels across the 24 h cycle remains unknown. We hypothesised that sleep restriction would alter hormones that are known to stimulate lipolysis and lead to an increase in NEFA levels. We studied 19 healthy young men under controlled laboratory conditions with four consecutive nights of 8.5 h in bed (normal sleep) and 4.5 h in bed (sleep restriction) in randomised order. The 24 h blood profiles of NEFA, growth hormone (GH), noradrenaline (norepinephrine), cortisol, glucose and insulin were simultaneously assessed. Insulin sensitivity was estimated by a frequently sampled intravenous glucose tolerance test. Sleep restriction relative to normal sleep resulted in increased NEFA levels during the nocturnal and early-morning hours. The elevation in NEFA was related to prolonged nocturnal GH secretion and higher early-morning noradrenaline levels. Insulin sensitivity was decreased after sleep restriction and the reduction in insulin sensitivity was correlated with the increase in nocturnal NEFA levels. Sleep restriction in healthy men results in increased nocturnal and early-morning NEFA levels, which may partly contribute to insulin resistance and the elevated diabetes risk associated with sleep loss.
Article
Full-text available
Study Objective: The trend in sleep duration in the United States population remains uncertain. Our objective was to examine changes in sleep duration from 1985 to 2012 among US adults. Design: Trend analysis. Setting: Civilian noninstitutional population of the United States. Participants: 324,242 US adults aged ≥18 y of the National Health Interview Survey (1985, 1990, and 2004-2012). Measurement and Results: Sleep duration was defined on the basis of the question "On average, how many hours of sleep do you get in a 24-h period?". The age-adjusted mean sleep duration was 7.40 h (standard error [SE] 0.01) in 1985, 7.29 h (SE 0.01) in 1990, 7.18 h (SE 0.01) in 2004, and 7.18 h (SE 0.01) in 2012 (P 2012 versus 1985 <0.001; P trend 2004-2012 = 0.982). The age-adjusted percentage of adults sleeping ≤6 h was 22.3% (SE 0.3) in 1985, 24.4% (SE 0.3) in 1990, 28.6% (SE 0.3) in 2004, and 29.2% (SE 0.3) in 2012 (P 2012 versus 1985 <0.001; P trend 2004-2012 = 0.050). In 2012, approximately 70.1 million US adults reported sleeping ≤6 h. Conclusion: Since 1985, age-adjusted mean sleep duration has decreased slightly and the percentage of adults sleeping ≤6 h increased by 31%. Since 2004, however, mean sleep duration and the percentage of adults sleeping ≤6 h have changed little. © 2014 Associated Professional Sleep Societies, LLC.
Article
Longitudinal studies that have examined the association of insomnia with incident depression using objective sleep measures are very limited. The aim of this study was to examine the predictive role of the severity of insomnia for incident depression in a general population sample using psychometric and polysomnographic data. From a random, general population sample of 1741 individuals of the Penn State Adult Cohort, 1137 adults without depression were followed up with a structured telephone interview after 7.5 years. All subjects completed a full medical evaluation, 1-night polysomnogram and Multiphasic Minnesota Personality Inventory at baseline. The incidence of depression was 15%. Poor sleep (odds ratio = 1.5, P = 0.001) and insomnia (odds ratio = 1.9, P = 0.031) were significantly associated with incident depression. The odds of incident depression were highest (odds ratio = 2.2, P = 0.019) in insomnia with objective short sleep duration and independent of Multiphasic Minnesota Personality Inventory Ego Strength scores, an index of poor coping resources. The persistence of insomnia and worsening of poor sleep into insomnia significantly increased the odds of incident depression (odds ratios ranged from 1.8 to 6.3), whereas their full remission did not (odds ratio ranged from 1.2 to 1.8). Insomnia with short sleep duration is associated with incident depression independent of poor coping resources, whereas the association of insomnia with normal sleep duration with incident depression was mediated by poor coping resources. Persistence and worsening of poor sleep or insomnia, but not their full remission, are significant predictors of incident depression. These data suggest that there is a significant relationship between the severity of insomnia and incident depression. © 2015 European Sleep Research Society.
Article
The objective of this study was to investigate the relationship between sleep duration and obesity among Chinese adults. A community-based cross-sectional study was conducted among Chinese adults in 2008. In total, 3225 participants were selected by a multistage cluster sampling method. Self-reported sleep duration was measured by a standardized questionnaire. Logistic regression models were used to estimate the odds ratios (ORs) (95% confidence intervals, CIs) of obesity with sleep duration, separated by gender, and adjusted for age, education, occupation, marriage, smoking, drinking, body pain, and health status. The mean sleep duration was 7.8 h. Among the 2962 participants, 7.2% had short sleep duration (≤6 h/day). There were 171 obese participants (5.7%) in this population. After adjustment for age, short sleep duration (<6 h) was significantly associated with obesity among men (OR: 2.15; 95% CI: 1.193.90), but not among women; additional adjustment for potential confounders did not attenuate the association among men. Increasing sleep duration (a continuous variable) was significantly and negatively associated with obesity in women after adjustment for education level, occupation, marital status, smoking, drinking, body pain, and health status. The adjusted OR per-hour increase in sleep duration was 0.74 (0.56-0.97) for obesity, suggesting that for a 1-h increase in sleep duration among women, obesity risk decreased by 26%. Short sleep duration was associated with increasing obesity in Chinese men, and sleep duration was associated with obesity in Chinese women, although the underlying mechanism is unclear. This possible gender difference warrants further studies. Copyright © 2014 Elsevier B.V. All rights reserved.
Article
Recent epidemiological studies have documented that depression is associated with short sleep duration, which may be interpreted as a consequence of comorbid insomnia and/or that of curtailment of time in bed (TIB). However, none of the studies examined association between depression and TIB. Here, we study TIB, short sleep duration and depression in the Japanese general adult population. Cross-sectional surveys with a face-to-face interview were conducted in 2009 as part of the Nihon University Sleep and Mental Health Epidemiology Project (NUSMEP). Data from 2532 individuals were analyzed. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to assess the prevalence of depression with a cut-off point of 16. Sleep habits and sleep problems during the previous month, including bed time, getting up time, sleep duration, insomnia symptoms, and hypnotic medication use were evaluated. TIB was calculated from bed time and getting up time. The prevalence of depression identified with CES-D was 6.0% in total samples, 5.1% in men and 6.7% in women. Multiple logistic regression analysis revealed that both short sleep duration (<6 h) and short TIB (<6 h) were significantly associated with CES-D depression after adjusting for the confounding effects of sociodemographic variables, insomnia symptoms, and hypnotic medication use. We postulate that TIB, a modifiable sleep habit, may be an important target for improvement of sleep hygiene as a means of preventing depression.
Article
Background There is uncertainty over the relationship of sleep duration on stroke risk.AimWe aimed to clarify the relationship between sleep duration and risk of stroke by using epidemiological evidence.Methods We searched MEDLINE and EMBASE to identify all studies that might be looking at the association between sleep duration and stroke, including both cohort and cross-sectional studies. Pooled hazard ratios (HRs) and odds ratios (ORs) were calculated through a random-effects model.ResultsOur study included a total of 12 cohort studies and 6 cross-sectional studies. Pooled results from the cohort studies showed that short sleep duration was associated with a higher risk for stroke [HR, 1·13; 95% confidence interval (CI) 1·02–1·25], and that long sleep duration also increases the risk of having a stroke (HR, 1·40; 95% CI, 1·16–1·64). Results from cross-sectional studies confirmed the relationship between stroke and inappropriate sleep duration, either too little sleep or too much. For short sleep duration, the OR was 1·71 (1·39–2·02); for long sleep duration, the OR was 2·12 (1·51–2·73).Conclusion Both short and long sleep durations have a significant association with higher risk of stroke.