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We aimed to obtain reliable reference charts for sleep duration, estimate the prevalence of sleep complaints across the lifespan and identify risk indicators of poor sleep. Studies were identified through systematic literature search in Embase, Medline and Web of Science (9 August 2019) and through personal contacts. Eligible studies had to be published between 2000 and 2017 with data on sleep assessed with questionnaires including ≥100 participants from the general population. We assembled individual participant data from 200,358 people (aged 1-100 years, 55% female) from 36 studies from the Netherlands, 471,759 people (40-69 years, 55.5% female) from the United Kingdom and 409,617 people (≥18 years, 55.8% female) from the United States. One in four people slept less than age-specific recommendations, but only 5.8% slept outside of the 'acceptable' sleep duration. Among teenagers, 51.5% reported total sleep times (TST) of less than the recommended 8-10 h and 18% report daytime sleepiness. In adults (≥18 years), poor sleep quality (13.3%) and insomnia symptoms (9.6-19.4%) were more prevalent than short sleep duration (6.5% with TST < 6 h). Insomnia symptoms were most frequent in people spending ≥9 h in bed, whereas poor sleep quality was more frequent in those spending <6 h in bed. TST was similar across countries, but insomnia symptoms were 1.5-2.9 times higher in the United States. Women (≥41 years) reported sleeping shorter times or slightly less efficiently than men, whereas with actigraphy they were estimated to sleep longer and more efficiently than man. This study provides age- and sex-specific population reference charts for sleep duration and efficiency which can help guide personalized advice on sleep length and preventive practices.

Background: The relation between shift work and a large variety of cardiometabolic risk factors is unclear. Also, the role of chronotype is understudied. We examined relations between shift work and cardiometabolic risk factors, and explored these relations in different chronotypes., Methods: Cardiometabolic risk factors (anthropometry, blood pressure, lipids, diabetes, γ-glutamyltransferase, C-reactive protein, uric acid and estimated glomerular filtration rate) were assessed among 1334 adults in 1987-91, with repeated measurements every 5 years. Using shift work history data collected in 2013-15, we identified shift work status 1 year prior to all six waves. Linear mixed models and logistic generalized estimating equations were used to estimate the longitudinal relations between shift work and risk factors 1 year later., Results: Shift work was not significantly related with cardiometabolic risk factors (P ≥ 0.05), except for overweight/body mass index. Shift workers had more often overweight (OR: 1.44, 95% CI 1.06-1.95) and a higher body mass index (BMI) (β: 0.56 kg m-2, 95% CI 0.10-1.03) than day workers. A significant difference in BMI between day and shift workers was observed among evening chronotypes (β: 0.97 kg m-2, 95% CI 0.21-1.73), but not among morning chronotypes (β: 0.04 kg m-2, 95% CI -0.85 to 0.93). No differences by frequency of night shifts and duration of shift work were observed., Conclusion: Shift workers did not have an increased risk of cardiometabolic risk factors compared with day workers, but, in particular shift working evening chronotypes, had an increased risk of overweight. More research is needed to verify our results, and establish whether tailored interventions by chronotype are wanted.

Study Objectives: To describe sleep duration patterns of adults over a 20-year period; to compare sociodemographic, lifestyle, and health characteristics across these patterns; and to relate the patterns to sleep quality., Methods: The study population consisted of 3695 adults aged 20 to 59 years at baseline. Five measurements of self-reported sleep duration were used to compose seven patterns from 1987 to 2012: persistent short (≤6 hours), moderate (7-8 hours), or long (≥9 hours) sleep duration and several changing patterns (varying and became short, moderate, or long sleepers). Multinomial logistic regression analyses were used to compare characteristics across sleep duration patterns., Results: About 56% of the adults had persistent moderate sleep duration over 20 years. This group had a better sleep quality than the other groups. Of the adults who changed in their sleep duration (40%), 43% became a short sleeper. Sleep duration patterns that deviate from persistent moderate sleep duration were associated with physical inactivity during leisure time (odds ratios [ORs] and 95% confidence intervals [95% CIs] varied between 1.26 [1.04-1.53] and 1.58 [1.06-2.37]) and with poor self-rated health (ORs [95% CIs] varied between 1.50 [1.20-1.87] and 2.15 [1.48-3.12])., Conclusions: Nearly half of the adults did not have persistent moderate sleep duration over a 20-year period and more than one-sixth became short sleeper. This is reason for concern considering the adverse health status associated with short and long sleep duration. Leisure-time physical activity is a potential important target to prevent unfavorable changes in sleep duration over the life course., (© Sleep Research Society 2017. Published by Oxford University Press [on behalf of the Sleep Research Society].)

• Good and changing mental health patterns are more common than poor mental health in a sample of Dutch adults followed over 20 years. • Changing and poor mental health patterns are associated with long-term unhealthy patterns of smoking and sleep. • Understanding the mechanisms and the directions of associations between long-term mental health and lifestyle patterns could help devise better interventions to improve mental health. We explored the prevalence of individual mental health patterns and the role of lifestyle factors over 20 years. We used data from the Doetinchem Cohort Study (1995–2019), a population-based study amongst adults (26–90 years) examined every five years in the Netherlands. Participants were classified in five pre-defined mental health patterns (persistent good, persistent poor, worsening, improving, varying) over 20 years (five rounds) using the MHI-5 questionnaire. BMI, sleep, smoking, alcohol consumption, and physical activity were dichotomised as healthy/unhealthy based on guidelines. The role of lifestyle at baseline (t1), 20 years later (t5), and longitudinally over 20 years (using pre-defined patterns) was explored using logistic regression. Most participants had good mental health at t1 (85 %) and t5 (88 %). Over 20 years, 67 % followed a persistent good mental health pattern, 30 % a changing pattern, and 3 % a persistent poor pattern. Persistent poor and changing patterns were associated with unhealthy sleep and smoking at t1, t5, and with the 20-year unhealthy patterns. Persistent poor mental health was associated with stable unhealthy and changing sleep (OR=5.58(2.48–12.54) and OR=2.07(1.14–3.74), respectively), and with stable unhealthy and changing smoking (OR=3.35(1.58–7.11) and OR=2.53(1.40–4.57), respectively). Changing mental health was associated with changing (OR=1.54(1.26–1.88) and OR=1.64(1.30–2.07), respectively) and stable unhealthy (OR=1.80(1.23–2.64) and OR=2.24(1.60–3.14), respectively) sleep and smoking, respectively. Persistent good and changing mental health patterns were more common than poor mental health in adults and were associated with smoking and sleep. Clarifying the underlying mechanisms and directionality between mental health and lifestyle could improve interventions. [ABSTRACT FROM AUTHOR]