Sleep Duration Trajectories Research Articles

A systematic review and meta-analysis of group-based trajectory modeling of sleep duration across age groups and in relation to health outcomes.

To shed light on understanding sleep duration trajectories (SDTs) using different classification methods and their outcomes, this study aimed to 1) identify common SDTs among different age groups, 2) investigate the alignment versus differences between SDTs identification by group-based trajectory modeling (GBTM) and clinical standards, and 3) examine the impacts of SDTs on health outcomes. Systematic literature search from four databases yielded 34 longitudinal SDT studies with GBTM analyses spanning three or more data waves. Apart from the proportion meta-analysis, a three-level meta-analysis was conducted with 14 of the studies that examined the association between SDT groups and health outcomes. Assessment of study quality was performed using the Guidelines for Reporting on Latent Trajectory Studies checklist. Qualitative analysis identified four age-related SDT classes based on longitudinal trends: "persistent sleepers", "increase sleepers", "decrease sleepers", and "variable sleepers". Meta-analysis also showed differential proportions of "GBTM-defined shortest sleepers" across age groups and sample regions, as well as significant discrepancies in prevalence of short sleep identified by clinical standards (=50% vs. 15% per GBTM). Overall, SDTs predicted emotional and behavioral outcomes, neurocognitive problems, and physical health (OR = 1.538, p < 0.001), in GBTM-defined "short", "fluctuating", "long", and "decreasing" sleepers as compared to the "adequate" group. The effects were stronger in adolescents and in datasets with more waves. The identification of the GBTM-defined "short", "fluctuating", "long", and "decreasing" SDT groups and their associations with various health outcomes supported longitudinal investigations, as well as the development of interventions focusing on both the length and stability of sleep durations, especially in younger populations.

Sleep trajectories and frequency of non-suicidal self-injury in adolescents: a person-oriented perspective over two years

Adolescent sleep quality and quantity is commonly linked to worse emotion regulation. One maladaptive emotion regulation strategy that is on the rise is non-suicidal self-injury (NSSI), which includes burning, hitting, or scratching one’s own body tissue without suicidal intent. The aim of this study was to explore the frequency of NSSI among different longitudinal trajectories of insomnia symptoms and short sleep duration to identify at-risk adolescents. We used questionnaire data collected annually (3 time points over 2 years) from a sample of Swedish adolescents (N = 1,294; Mage = 13.2 [range: 12–15 years], SD = 0.4; 46.8% girls). Adolescents answered questions about their sleep duration, symptoms of insomnia, NSSI, depressive symptoms, and demographics. Adolescents who reported persistent or increasing sleep problems over time also reported more NSSI. A notable pattern was that adolescents whose insomnia symptoms were high and increasing reported the highest frequency of NSSI, also compared to adolescents who started at the same high level of insomnia symptoms but improved over time. Therefore, measuring NSSI may help identify a risk-group for persistent sleep problems and self-injury. Because sleep disturbances, especially insomnia, and NSSI go hand-in-hand for most adolescents, sleep interventions would benefit the treatment and prevention of self-injury.

Mapping the 9-year sleep trajectory and its implications for chronic disease risks among middle-aged and older adults

ObjectiveTo identify the 9-year trajectories of sleep duration and to assess the relationship between time-dependent sleep duration and sleep trajectories with 14 chronic diseases in adults. MethodsThis study used five waves of data of the China Health and Retirement Longitudinal Survey. Participants with complete sleep duration data and at least one record of 14 chronic diseases were included. The group-based trajectory model was used to identify sleep trajectories from 2011 to 2020. Time-dependent survival analysis and logistic regression were used to examine the relationship between time-dependent sleep duration and sleep trajectories with chronic diseases. ResultsA total of 9063 participants were included, with a mean (standard deviation, SD) sleep duration of 6.37 (1.83) h/d. Sleeping <7 h/d predicted higher risks of 11 chronic diseases at follow-up, with hazard ratios (HR) and 95 % confidence intervals (CI) ranging from 1.71 (1.26–2.33) for psychiatric disease to 1.15 (1.04–1.27) for dyslipidemia. Five sleep trajectories were identified and labeled as group 1–5 based on ascending order of sleep duration. Consistently sleeping <4 h/d (group 1) and 4–6 h/d predicted higher risks of most chronic diseases, with the highest HR (95 %CI) of 3.50 (1.73–6.92) and 2.94 (1.82–4.49) for psychiatric diseases, respectively. Consistently sleeping 6–7 h/d (group 3) predicted higher risks of digestive diseases and arthritis. Decreasing sleep (group 4) predicted higher risks of psychiatric diseases and memory-related diseases. ConclusionsConsistently sleeping <6 h/d predicted higher risks of most chronic diseases, especially psychiatric diseases. Digestive disease and arthritis were more sensitive to consistently inadequate sleep.

The association between sleep duration trajectories and successful aging: a population-based cohort study

BackgroundInsufficient or excessive sleep duration are associated with increased risk of individual adverse outcomes. However, it remains largely unknown whether sleep duration trajectories are associated with overall health among older adults. This study aimed to examine the association between sleep duration trajectories and successful aging.MethodsIn the China Health and Retirement Longitudinal Study (CHARLS), 3,306 participants without major chronic diseases at baseline and survived to aged 60 years and older at the end of follow-up were potentially eligible participants. Total sleep duration was assessed in 2011, 2013, and 2015, and successful aging was evaluated in 2020 and was defined as being free of major chronic diseases, no physical impairment, high cognitive function, good mental health, and active engagement with life. Latent class mixed model (LCMM) was used to identify sleep duration trajectories and logistic regression was performed to explore the association between these trajectories and successful aging.ResultsDuring the 9-year follow-up, 455 individuals (13.8%) met the criteria for successful aging. Five sleep duration trajectories were identified: normal stable, long stable, decreasing, increasing, and short stable. Compared with the normal stable trajectory, the adjusted ORs (95% CI) for achieving successful aging for participants with long stable, decreasing, increasing, and short stable trajectories were 1.00 (0.77, 1.30), 0.64 (0.40, 1.03), 0.64 (0.45, 0.92), and 0.48 (0.35, 0.66), respectively. The stratified and sensitivity analyses were generally consistent with the main results.ConclusionsIncreasing and short stable trajectories of sleep duration are associated with lower odds of successful aging relative to participants in the normal stable trajectory. The findings underscore the critical importance of monitoring dynamic changes in sleep duration in middle-aged and older Chinese adults.

Association between infant sleep and neurodevelopment in a prospective birth cohort study

ObjectivesTo investigate the association of infant sleep and sleep trajectories through the first year of life with infant neurodevelopment. MethodsThis study was conducted with 3251 infants in China. Sleep parameters were evaluated by the Brief Infant Sleep Questionnaire at 42days, 6months, and 1year of age. Neurodevelopment was evaluated at 1year of age using the Bayley Scales of Infant and Toddler Development, Third Edition. The latent variable growth curve model was used to evaluate the developmental trajectories of infant sleep, including total sleep duration trajectories, night awakening trajectories and sleep onset latency trajectories. Poisson regression was applied to assess the association between sleep parameters and sleep trajectories and infant neurodevelopment. ResultsInfants with frequent night awakenings at 6months had a higher risk of nonoptimal gross motor development. Additionally, infants with prolonged sleep onset latency at 1year had an increased risk of nonoptimal fine and gross motor development. A consistent frequent night-awakening trajectory increased the risk of nonoptimal gross motor development (adjusted relative risk, 1.52; 95% confidence interval, 1.09 to 2.10). Furthermore, an increasing trajectory in sleep onset latency was associated with an increased risk of nonoptimal fine (adjusted relative risk, 2.70; 95% confidence interval, 1.12 to 6.51) and gross motor development (adjusted relative risk, 2.76; 95% confidence interval, 1.70 to 4.48). However, no significant association was observed between total sleep duration, or its trajectory, and infant neurodevelopment. ConclusionsSleep problems or specific sleep trajectories during the initial year of life may increase risk of compromised neurodevelopment.

Psychological distress and trajectories of sleep duration among Australian adolescents: a prospective cohort study

ObjectivesThis study investigated the association between indicators of psychological distress and well-being and trajectories of sleep duration among a cohort of Australian adolescents.DesignA prospective cohort of adolescents was followed over...

Associations between sleep duration trajectories and risk of cardio-metabolic disease among middle-aged and older Chinese adults

BackgroundThe association of a single time-point measure of sleep duration with cardio-metabolic disease has been extensively studied, but few studies have focused on the impact of sleep duration trajectory. This study aims to model the sleep duration trajectory as predictors for the subsequent development of cardio-metabolic disease. MethodsThis study recruited a notably large population (n = 9883) of subjects aged at least 45 years from the China Health and Retirement Longitudinal Study (CHARLS), who participated in sequential surveys conducted in 2011, 2013, 2015, and 2018. Sleep duration trajectories were plotted using data of night sleep duration recorded at intervals from 2011 to 2015 by latent class trajectory model. The onset of cardio-metabolic diseases from 2015 to 2018 were confirmed and then the risk of different sleep duration trajectories on incident cardio-metabolic disease was examined using cox proportional hazards regression model. ResultsWe identified four sleep duration trajectories. Compared to the normal-stable trajectory, the short-stable trajectory was significantly associated with higher risk of incident stroke (hazard ratio [HR], 1.32; 95 % confidence interval [CI], 1.02 to 1.70), dyslipidemia (HR, 1.22; 95%CI, 1.01 to 1.49), and diabetes (HR, 1.42; 95%CI, 1.13 to 1.78) within three years of follow-up, and the short-increasing trajectory predicted a higher risk of incident stroke (HR, 2.38; 95%CI, 1.25 to 4.55). ConclusionsShort sleep trajectory could increase the risk of incident stroke, dyslipidemia, and diabetes, and an increasing sleep trajectory was associated with increased risk of incident stroke among middle-aged and older Chinese adults.

Long-term trajectories of sleep duration are associated with incident diabetes in middle-to-older-aged Black and White Americans.

Both short and long sleep durations have been linked to higher diabetes risk. However, sleep duration may vary over time, and there has been limited research focusing on individual sleep trajectories and diabetes risk. There are substantial racial disparities in both sleep health and diabetes risk in the USA. Thus, it is important to understand the role of suboptimal sleep patterns in diabetes risk in different racial groups. We assessed long-term trajectories of sleep duration and incident diabetes in 22,285 Black adults (mean age ± SD, 51.1 ± 8.2 years; 64.8% women) and 13,737 White adults (mean age ± SD, 54.4 ± 9.0 years; 63.8% women) enrolled in the Southern Community Cohort Study. Nine sleep trajectories were derived based on self-reported sleep duration at baseline and after a mean of 5 years of follow-up: normal-normal (reference), short-normal, normal-short, short-short, long-normal, normal-long, long-long, long-short and short-long. Diabetes was reported using a validated questionnaire. Multivariable-adjusted logistic regression was used to determine relationships between sleep trajectories and incident diabetes. When compared with the normal-normal trajectory, suboptimal sleep trajectories were associated with higher likelihoods of developing diabetes (OR; 95% CI: short-normal 1.19; 1.09, 1.31; normal-short 1.14; 1.02, 1.27; short-short 1.17; 1.07, 1.28; long-normal 1.13; 0.98, 1.30; normal-long 1.16; 1.00, 1.34; long-long 1.23; 1.02, 1.48; long-short 1.45; 1.19, 1.77; short-long 1.51; 1.28, 1.77). Stratified analyses by race and socioeconomic status (i.e. education and household income) showed that most suboptimal sleep trajectories were consistently associated with incident diabetes in all sociodemographic subgroups. We also noted potential interaction with race and education for several sleep trajectories (i.e. short-long and normal-short with race; long-long and short-short with education). Adults with suboptimal sleep duration trajectories are more likely to develop incident diabetes. Future research is needed to study how sociodemographic factors modulate this relationship.

Trajectories of actigraphy-derived sleep duration, quality, and variability from childhood to adolescence: downstream effects on mental health.

We examined growth trajectories of four actigraphy-derived sleep parameters (sleep minutes, sleep efficiency, and variability in sleep minutes and efficiency across a week of assessments) across childhood and adolescence and examined individual differences in trajectories according to participants' race/ethnicity and sex. We also assessed the predictive effect of growth trajectories of sleep parameters on growth trajectories of mental health outcomes and moderation by race and sex. Youth (N = 199, 49% female, 65% white, 32% black, 3% biracial) and their parents participated in five waves of data (M ages were 9, 10, 11, 17, and 18 across waves). Participants were from a diverse range of socioeconomic backgrounds. Across participants, sleep minutes, sleep efficiency, and variability in sleep minutes and efficiency demonstrated significant linear change across childhood and adolescence. Whereas sleep duration shortened over time, sleep efficiency improved. Youth exhibited increases in night-to-night variability in sleep minutes and reductions in night-to-night variability in sleep efficiency. Highlighting the importance of individual differences, some race- and sex-related effects emerged. Black youth and male youth experienced steeper declines in their sleep duration across development relative to their respective counterparts. Black youth also demonstrated smaller improvements in sleep efficiency and greater variability in sleep efficiency compared to white youth. Finally, trajectories of sleep efficiency and variability in sleep minutes predicted trajectories of internalizing symptoms and externalizing behaviors. Findings showed significant changes in developmental trajectories of four sleep parameters across childhood and adolescence. We discuss the empirical and translational implications of the findings.

Role of Inflammation in Short Sleep Duration Across Childhood and Psychosis in Young Adulthood

Short sleep duration over a prolonged period in childhood could have a detrimental impact on long-term mental health, including the development of psychosis. Further, potential underlying mechanisms of these associations remain unknown. To examine the association between persistent shorter nighttime sleep duration throughout childhood with psychotic experiences (PEs) and/or psychotic disorder (PD) at age 24 years and whether inflammatory markers (C-reactive protein [CRP] and interleukin 6 [IL-6]) potentially mediate any association. This cohort study used data from the Avon Longitudinal Study of Parents and Children. Data analysis was conducted from January 30 to August 1, 2023. Nighttime sleep duration was collected at 6, 18, and 30 months and at 3.5, 4 to 5, 5 to 6, and 6 to 7 years. PEs and PD were assessed at age 24 years from the Psychosislike Symptoms Interview. CRP level at ages 9 and 15 years and IL-6 level at 9 years were used as mediators. Latent class growth analyses (LCGAs) were applied to detect trajectories of nighttime sleep duration, and logistic regressions were applied for the longitudinal associations between trajectories of nighttime sleep duration and psychotic outcomes at 24 years. Path analyses were applied to test CRP and IL-6 as potential mediators. Data were available on 12 394 children (6254 female [50.5%]) for the LCGA and on 3962 young adults (2429 female [61.3%]) for the logistic regression and path analyses. The LCGA identified a group of individuals with persistent shorter nighttime sleep duration across childhood. These individuals were more likely to develop PD (odds ratio [OR], 2.50; 95% CI, 1.51-4.15; P < .001) and PEs (OR, 3.64; 95% CI, 2.23-5.95; P < .001) at age 24 years. Increased levels of IL-6 at 9 years, but not CRP at 9 or 15 years, partially mediated the associations between persistent shorter sleep duration and PD (bias-corrected estimate = 0.003; 95% CI, 0.002-0.005; P = .007) and PEs (bias-corrected estimate = 0.002; 95% CI, 0-0.003; P = .03) in young adulthood. Findings of this cohort study highlight the necessity of addressing short sleep duration in children, as persistence of this sleep problem was associated with subsequent psychosis. This study also provides preliminary evidence for future targeted interventions in children addressing both sleep and inflammatory responses.

Shorter night-time sleep duration and later sleep timing from infancy to adolescence.

Here, we (a) examined the trajectories of night-time sleep duration, bedtime and midpoint of night-time sleep (MPS) from infancy to adolescence, and (b) explored perinatal risk factors for persistent poor sleep health. This study used data from 12,962 participants in the Avon Longitudinal Study of Parents and Children (ALSPAC). Parent or self-reported night-time sleep duration, bedtime and wake-up time were collected from questionnaires at 6, 18 and 30 months, and at 3.5, 4-5, 5-6, 6-7, 9, 11 and 15-16 years. Child's sex, birth weight, gestational age, health and temperament, together with mother's family adversity index (FAI), age at birth, prenatal socioeconomic status and postnatal anxiety and depression, were included as risk factors for persistent poor sleep health. Latent class growth analyses were applied first to detect trajectories of night-time sleep duration, bedtime and MPS, and we then applied logistic regressions for the longitudinal associations between risk factors and persistent poor sleep health domains. We obtained four trajectories for each of the three sleep domains. In particular, we identified a trajectory characterized by persistent shorter sleep, a trajectory of persistent later bedtime and a trajectory of persistent later MPS. Two risk factors were associated with the three poor sleep health domains: higher FAI with increased risk of persistent shorter sleep (OR = 1.20, 95% CI = 1.11-1.30, p < .001), persistent later bedtime (OR = 1.28, 95% CI = 1.19-1.39, p < .001) and persistent later MPS (OR = 1.30, 95% CI = 1.22-1.38, p < .001); and higher maternal socioeconomic status with reduced risk of persistent shorter sleep (OR = 0.99, 95% CI = 0.98-1.00, p = .048), persistent later bedtime (OR = 0.98, 95% CI = 0.97-0.99, p < .001) and persistent later MPS (OR = 0.99, 95% CI = 0.98-0.99, p < .001). We detected trajectories of persistent poor sleep health (i.e. shorter sleep duration, later bedtime and later MPS) from infancy to adolescence, and specific perinatal risk factors linked to persistent poor sleep health domains.

Associations between sleep duration trajectories and cognitive decline: A longitudinal cohort study in China

ObjectThe relationship between sleep duration trajectories and cognitive decline remains uncertain. This study aims to examine the connections between various patterns of sleep duration and cognitive function. MethodsGroup-based trajectory modeling (GBTM) was employed to identify longitudinal trajectories of sleep duration over four-year follow-up period, while considering age, sex and nap duration as adjustments. Logistic regression was utilized to analyze the association between sleep trajectories and cognition, with odds ratios (OR) and 95 % confidence intervals (CI) reported. Subgroup analyses based on various demographic characteristics were conducted to explore potential differences in sleep trajectories and cognitive decline across different population subgroups. ResultsA total of 5061 participants were followed for four years, and three sleep duration trajectories were identified: high increasing (n = 2101, 41.6 %), stable increasing (n = 2087, 40.7 %), and low decreasing (n = 873, 17.7 %). After adjustment for basic demographic information, health status, and baseline cognition, the high increasing trajectory was found to be associated with cognitive decline in terms of global cognition (OR:1.52,95 %CI:1.18–1.96), mental intactness (OR:1.36,95 %CI:1.07–1.73) and episodic memory (OR:1.33, 95 %CI:1.05–1.67), as compared to stable increasing trajectory. These associations were particularly prominent among the non-elderly population (≤65 years) and those without depressive symptoms. ConclusionThis study suggests that both high increasing and low decreasing sleep duration trajectories are linked to cognitive decline, as compared to the stable increasing trajectory. Long-term attention to changes in sleep duration facilitates early prevention of cognitive decline.

Associations of maternal sleep trajectories during pregnancy and adverse perinatal outcomes: a prospective cohort study

ObjectiveSleep problems are common in pregnant women and sleep is altered during pregnancy. However, the associations between sleep trajectory patterns and adverse maternal and neonatal outcomes are unclear. The current study aims to identify sleep trajectory patterns and explore their associations with adverse perinatal outcomes in a prospective cohort study. MethodsPregnant women (N = 232) completed the Pittsburgh Sleep Quality Index each trimester during pregnancy in Tianjin, China. Perinatal outcomes were extracted from the hospital delivery records. Latent class growth analysis (LCGA) described the trajectories of sleep timing, duration, and efficiency. Multivariable linear regression and multivariable logistic regression were employed to evaluate associations between sleep trajectory patterns and perinatal outcomes. ResultsTrajectories were identified for bedtime (early, 49.1%; delaying, 50.9%), wake-up time (early, 82.8% of the sample; late, 17.2%), duration (short, 5.2%; adequate 78.0%; excessive, 16.8%), and efficiency (high, 88.4%; decreasing, 11.6%). Compared with women in more optimal sleep groups, those in the late wake-up, excessive duration, and decreasing efficiency groups had babies with shorter birth lengths (β range, −0.50 to −0.28, p < 0.05). Moreover, women in the decreasing efficiency group had babies with lower birth weight (β, −0.44; p < 0.05). Women in the delaying bedtime group had greater odds of preterm delivery (OR, 4.57; p < 0.05), while those in the decreasing efficiency group had greater odds of cesarean section (OR, 3.12; p < 0.05). ConclusionsLess optimal sleep trajectory patterns during pregnancy are associated with perinatal outcomes. Therefore, early assessment of maternal sleep during pregnancy is significant for identifying at-risk women and initiating interventions to reduce perinatal outcomes.

Trajectories of Sleep Over Midlife and Incident Cardiovascular Disease Events in the Study of Women's Health Across the Nation.

Up to 50% of women report sleep problems in midlife, and cardiovascular disease (CVD) is the leading cause of death in women. How chronic poor sleep exposure over decades of midlife is related to CVD risk in women is poorly understood. We tested whether trajectories of insomnia symptoms or sleep duration over midlife were related to subsequent CVD events among SWAN (Study of Women's Health Across the Nation) participants, whose sleep was assessed up to 16 times over 22 years. At baseline, SWAN participants (n=2964) were 42 to 52 years of age, premenopausal or early perimenopausal, not using hormone therapy, and free of CVD. They completed up to 16 visits, including questionnaires assessing insomnia symptoms (trouble falling asleep, waking up several times a night, or waking earlier than planned ≥3 times/week classified as insomnia), typical daily sleep duration, vasomotor symptoms, and depressive symptoms; anthropometric measurements; phlebotomy; and CVD event ascertainment (ie, fatal or nonfatal myocardial infarction, stroke, heart failure, revascularization). Sleep trajectories (ie, insomnia, sleep duration) were determined by means of group-based trajectory modeling. Sleep trajectories were tested in relation to CVD in Cox proportional hazards models (multivariable models: site, age, race and ethnicity, education, CVD risk factors averaged over visits; additional covariates: vasomotor symptoms, snoring, depression). Four trajectories of insomnia symptoms emerged: low insomnia symptoms (n=1142 [39% of women]), moderate insomnia symptoms decreasing over time (n=564 [19%]), low insomnia symptoms increasing over time (n=590 [20%]), and high insomnia symptoms that persisted (n=668 [23%]). Women with persistently high insomnia symptoms had higher CVD risk (hazard ratio, 1.71 [95% CI, 1.19, 2.46], P=0.004, versus low insomnia; multivariable). Three trajectories of sleep duration emerged: persistently short (~5 hours: n=363 [14%]), moderate (~6 hours: n=1394 [55%]), and moderate to long (~8 hours: n=760 [30%]). Women with persistent short sleep had marginally higher CVD risk (hazard ratio, 1.51 [95% CI, 0.98, 2.33], P=0.06, versus moderate; multivariable). Women who had both persistent high insomnia and short sleep had significantly elevated CVD risk (hazard ratio, 1.75 [95% CI, 1.03, 2.98], P=0.04, versus low insomnia and moderate or moderate to long sleep duration; multivariable). Relations of insomnia to CVD persisted when adjusting for vasomotor symptoms, snoring, or depression. Insomnia symptoms, when persistent over midlife or occurring with short sleep, are associated with higher CVD risk among women.

Longitudinal study of childhood sleep trajectories and adolescent mental health problems.

To investigate whether childhood sleep trajectories are associated with mental health symptoms such as social phobia, generalized anxiety, depression, attention deficit hyperactivity disorder (ADHD), conduct problems, and opposition at age 15. A total of 2120 children took part in the Quebec Longitudinal Study of Child Development. Childhood sleep trajectories were computed from maternal reports at 2.5, 3.5, 4, 6, 8, 10, and/or 12 years. At age 15, 1446 adolescents filled out mental health and sleep questions. A path analysis model was assessed in the full sample. Four childhood nocturnal sleep duration trajectories were identified: (1) a short pattern (7.5%), (2) a short-increasing pattern (5.8%), (3) a 10 hours pattern (50.7%), and (4) an 11 hours pattern (36.0%). Three childhood sleep latency trajectories were found: (1) a short pattern (31.7%), (2) an intermediate pattern (59.9%), and (3) a long pattern (8.4%). Finally, two childhood wakefulness after sleep-onset trajectories were found: (1) a normative pattern (73.0%) and (2) a long pattern (27.0%). The path analysis model indicated that children following a long childhood sleep latency trajectory were more likely to experience symptoms of depression (β = 0.06, 95% CI: 0.01 to 0.12), ADHD (β = 0.07, 95% CI: 0.02 to 0.13), conduct problems (β = 0.05, 95% CI: 0.00 to 0.10) and opposition (β = 0.08, 95% CI: 0.02 to 0.13) at age 15. This longitudinal study revealed that children presenting a long sleep latency throughout childhood are at greater risk of symptoms of depression, ADHD, conduct problems, and opposition in adolescence.

Population trajectories and age-dependent associations of obesity risk factors with body mass index from childhood to adolescence across European regions: A two-cohort study.

To investigate population trajectories of behavioural risk factors of obesity from childhood to adolescence and their associations with body mass index (BMI) in children across European regions. Data were harmonised between the European multi-centre IDEFICS/I.Family and the Amsterdam Born Children and their Development Cohort. Participants were aged 2.0-9.9 and 5.0-7.5 years at baseline, respectively, and were followed until age 18 years. Behavioural risk factors of interest included diet, physical activity, media use and sleep. Mixed effects models were used for statistical analyses to account for repeated measurements taken from the same child. The study included a total of 14 328 individuals: 4114, 4582, 3220 and 2412 participants from Northern, Southern, Eastern Europe and Amsterdam, respectively. Risk factor means and prevalences changed with age, but the trajectories were mostly similar across regions. Almost no associations between behavioural factors and BMI were found at the age of 6 years. At 11 years, daily sugar-sweetened foods consumption, use of active transport, sports club membership and longer nocturnal sleep duration were negatively associated with BMI in most regions; positive associations were found with media use. Most associations at 11 years of age persisted to 15 years. Whilst population trajectories of media use and nocturnal sleep duration are similar across European regions, those of other behavioural risk factors like active transport and daily vegetable consumption differ. Also, associations between behavioural risk factors and BMI become stronger with age and show similar patterns across regions.

Sleep Duration Differences by Education from Middle to Older Adulthood: Does Employment Stratification Contribute to Gendered Leveling?

Sleep duration changes across the life course and differs by education in the United States. However, little research has examined whether educational differences in sleep duration change over age-or whether sleep duration trajectories over age differ by education. This study uses a life course approach to analyze American Time Use Survey data (N = 60,908), examining how educational differences in weekday sleep duration change from middle to older adulthood (ages 40-79). For men only, differences in total sleep time between individuals with less than a high school degree and those with more education converge in older adulthood. Results suggest that this leveling is explained by decreasing educational stratification in work hours as men enter older adulthood. Findings highlight the importance of employment for shaping gendered socioeconomic differences in sleep and demonstrate differences by education in how sleep duration changes over age, with possible implications for health disparities.

Early sleep duration trajectories and children's cognitive development: a prospective cohort study.

The results of this study emphasize that a medium total sleep duration, adequate sleep at nighttime, and appropriate sleep in the daytime appear to be more beneficial for children's cognitive development. •Sleep duration in infancy is strongly associated with neurocognitive development. •Medium and long total sleep duration trajectories are beneficial for children's cognitive performance compared to the short total sleep duration trajectory. •A medium total sleep duration, adequate sleep at nighttime and appropriate sleep in the daytime appear to be more beneficial for children's cognitive development.

Association between all-cause mortality and trajectories across quality and duration of sleep and cognitive function: based on Group-Based Multivariate Trajectory modeling

BackgroundSleep duration and quality are associated with cognition, but the interaction of the 3 indicators and their association with all-cause mortality is unclear.MethodsWe used data from the Chinese Longitudinal Healthy Longevity Survey from 2005–2018 to identify latent trajectories of sleep duration, sleep quality, and cognitive function. Secondly, the multinomial logistic model was adopted to determine predictors of trajectory groups. Finally, the Cox regression model was used to examine the association between these trajectory groups and all-cause mortality.ResultsA total of 5046 adults (49% women) with an average age of 76.34 were included in the study. The median follow-up period was 11.11 years, during which 1784 (35%) participants died. We identified 4 latent groups among older adults: ‘Good-performance’ (51%), ‘Decreasing’ (26%), ‘Oversleep & cognitive impairment’ (12%), and ‘Sleep-deprived’ (11%). Individuals in the ‘Decreasing’ had a 51% increased risk of all-cause mortality (HR = 1.51, 95% CI: 1.25 – 1.81, p < .001). Individuals in the ‘Oversleep & cognitive impairment’ had a 170% increased risk of all-cause mortality (HR = 2.7 95% CI: 2.13 – 3.43, p < .001). Women had a higher risk of all-cause mortality regardless of trajectory group (47–143% men VS. 74–365% women). Both urban and rural areas have a similarly increased risk of all-cause mortality (48–179%).ConclusionsOur study reveals the latent trajectories across sleep duration, sleep quality, and cognitive function in older Chinese and further explores their association with death. These findings provide a rational basis for cognitive interventions and reduce all-cause mortality.

Three-year trajectories of sleep duration and mortality in patients with type 2 diabetes—a hospital-based retrospective cohort study

ObjectivesMost studies have shown that a single item of self-reported sleep duration is related to mortality risk. However, the long-term effect of sleep duration on mortality remains unclear in patients with diabetes. This study aimed to examine the associations of 3-year trajectory patterns of sleep duration with all-cause and expanded cardiovascular disease mortality in patients with type 2 diabetes. MethodsPatients with type 2 diabetes and self-reported sleep duration during a 3-year interval were included. Expanded cardiovascular disease was defined as death due to cardiovascular disease, diabetes, and kidney diseases. Cox’s proportional hazards models were employed to examine the associations between sleep duration patterns and mortality after controlling for sociodemographic factors, lifestyle behaviors, diabetes-related variables, diabetic complications, and medication use. ResultsA total of 7591 patients were included for analysis, and 995 deaths (13.11%) and 424 expanded cardiovascular disease deaths (5.59%) were observed during a mean follow-up of 8.51 years. Five trajectory patterns of sleep duration were identified: cluster 1: “constant 7- to 8-hour group” (50.03%); cluster 2: “constant low group” (19.68%); cluster 3: “high with decreasing trend group” (3.08%); cluster 4: “low with fluctuation group” (1.28%); and cluster 5: “constant high group” (25.93%). Compared with cluster 1, clusters 3 and 4 were associated with increased risks of all-cause mortality (1.41, 1.08-1.84; 1.44, 1.01-2.05), and cluster 5 was associated with high risks of all-cause and expanded cardiovascular disease mortality (1.26, 1.08-1.46; 1.42, 1.12-1.79). ConclusionsSleep duration trajectories with constant high or unstable patterns may be associated with higher mortality.