Longer Sleep Duration Research Articles

A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations.

Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health lifestyle. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausible nature of distinct influences of both sleep duration extremes in cardiovascular health. Several of our loci are specific towards a particular population background or sex, emphasizing the importance of addressing heterogeneity entangled in gene-environment interactions, when considering precision medicine design approaches for blood pressure management.

Exploring the association between sleep duration and cancer risk in middle-aged and older Chinese adults: observations from a representative cohort study (2011–2020)

BackgroundThis prospective cohort study aimed to investigate the relationship between sleep duration and cancer incidence among 9996 participants over a median follow-up period of 9 years.MethodsParticipants without cancer at baseline were followed for over 88,790 person-years. The incidence of cancer and sleep duration was self-reported. The relationship between sleep duration and cancer incidence was analyzed using Cox proportional hazards models adjusted for various confounding factors, including age, gender, lifestyle factors, and comorbidities.ResultsDuring the follow-up, 325 participants were diagnosed with incident cancer, resulting in an incidence rate of 20.49 per 1000 person-years. After adjusting for confounders, a total sleep duration of less than 6 h was significantly associated with an increased risk of cancer (HR: 1.27; 95% CI: 1.01–1.61). This association was particularly strong for cancers in the digestive and respiratory systems (HR: 1.41; 95% CI: 1.03–1.93). Longer sleep durations (> 9 h) showed a potential increase in cancer risk, but results were not consistently significant. Age-stratified analyses revealed a similar significant increase in cancer incidence among individuals aged 60 years or younger with less than 6 h of sleep per day, showing a 35% increase in overall cancer risk and an 83% increase in digestive and respiratory system cancer. No significant association was found between nocturnal sleep durations or daytime naps and cancer incidence. However, a significant interaction was observed between daytime naps longer than 30 min and cancer incidence in women (p = 0.041).ConclusionsWe observed that short sleep duration may increase the risk of cancer, particularly cancers in the digestive and respiratory systems. Additionally, while longer sleep durations might also increase cancer risk, this finding requires validation with larger sample sizes.

Associations Between Sleep Duration and Cardiometabolic Diseases Among Residents in Southwest China.

The burden of cardiometabolic diseases (CMDs), defined as stroke, coronary artery disease, and diabetes mellitus, continues to pose a global challenge. Sleep duration has been linked to cardiovascular health. However, there is a lack of focused investigations on CMDs in underdeveloped areas of China. This study aimed to examine the relationship between sleep duration and CMDs among residents from southwest China. This large cross-sectional study screened data from the National Key Research and Development Program (2018YFC1311400). Based on sleep duration reported through a standardized questionnaire, encompassing the sleep patterns of the past five years, participants were classified into three groups: <6, 6-8, >8 hours. Baseline characteristics were compared, and Poisson regression models were used to assess the relationship between sleep duration and CMDs. Subgroup analysis was conducted based on age and gender. This study included 28,908 participants with an average age of 65.6 ± 10.0 years, of whom 57.6% were female. The overall prevalence of CMDs was 22.6%. After multivariate adjustments, the prevalence ratios (PR) (95% CI) for CMDs across the three groups (6-8h, <6h and >8h) were: reference, 1.140 (1.068-1.218), 1.060 (0.961-1.169) (P for trend =0.003), respectively. The subgroup analysis revealed that among older females, a longer sleep duration (>8h) was also associated with an increased prevalence risk of CMDs, with PR 1.169 (1.001-1.365) (p=0.049). A shorter sleep duration (<6 hours) was associated with an increased risk of CMDs in the general population, while a longer sleep duration (>8 hours) also raised the prevalence risk among older females.

Association between serum neurofilament light chains (sNfL) and neurologic disorders in a representative sample of US adults: a cross-sectional study

BackgroundWhile increased neurofilament light chain (NfL) in serum concentrations are linked to the progression of several neurological conditions, their distribution and implications within the general adult population remain largely unexplored. The current research aims to clarify the relationship between serum NfL levels and neurological disorders in a broad and representative population sample. MethodsWe utilized information gathered from 1751 adults involved in the 2013–2014 cycle of the National Health and Nutrition Examination Survey . Our analytical approach encompassed logistic regression, smoothed curve fitting, and subgroup analyses to identify potential correlations between serum NfL levels and neurological conditions, such as depression, severe hearing and visual impairments, stroke, subjective memory deficits, and sleep problems. ResultsAfter adjusting for all confounders, we found that higher serum NfL levels were significantly associated with increased risks of depression, stroke, subjective memory deficits, and longer sleep duration (p < 0.05). Subgroup analyses supported these findings. Additionally, BMI significantly influenced the relationship between serum NfL levels and long-term subjective memory decline. ConclusionOur research shows that higher serum NfL levels are strongly related to an elevated risk for several neurological disorders. These findings highlight the role of serum NfL serving as a critical marker for early detection and monitoring of neurological conditions, emphasizing its importance in both clinical and public health settings.

Effect of Music Therapy on Negative Psychology, Sleep, and Quality of Life in Elderly Patients Recovering from Cerebral Infarction with Depression and Anxiety: A Retrospective Analysis.

To observe the effects of music therapy on negative psychology, sleep, and quality of life in elderly patients recovering from cerebral infarction accompanied by depression and anxiety. We performed a retrospective analysis of 160 patients with convalescent cerebral infarction diagnosed between December 2022 and December 2023 in the Affiliated Brain Hospital of Nanjing Medical University. Cases from the control group (n = 76) were treated with conventional rehabilitation training. Meanwhile, the music therapy group (n = 84) cases were managed with standard and music therapy. Various measures, including polysomnography, the general quality of life questionnaire-74 (GQOL-74), the self-rating anxiety scale (SAS), and the self-rating depression scale (SDS) were collected at baseline (admission) and 4 weeks post-admission. After 4 weeks, the music therapy group exhibited higher GQOL-74 scores, lower SAS scores, and lower SDS scores (P < 0.001). Furthermore, compared with the control group, the music therapy group had shorter sleep latency, longer sleep duration, higher sleep efficiency, lower wake time, fewer wake times, shorter S1 stage, longer S3 + S4 stage, and longer REM period (P < 0.001). Music therapy appears to be effective in improving negative psychology, sleep quality, and quality of life in elderly patients with comorbid depression and anxiety during recovery from cerebral infarction.

Association of sleep duration with Visceral Adiposity Index: a cross-sectional study based on the NHANES 2007–2018

ObjectiveWe aimed to assess the associations between sleep duration and Visceral Adiposity Index (VAI).DesignCross-sectional study.SettingThe National Health and Nutrition Examination Survey (2007–2018).ParticipantsA total 11 252 eligible participants who have complete...

Association between Eating-Fasting and Sleep-Wake Cycles with Eating Times and Food Consumption throughout the Day: Longitudinal Study with Pregnant Women

Abstract Objective To investigate the associations of the sleep–eating interval with eating times and food consumption throughout the day in pregnant women. Materials and Methods A longitudinal study with 100 pregnant women treated at the public health network in the city of Uberlândia, state of Minas Gerais (MG), Brazil, during the entire gestational period. The time intervals between waking up and the first eating episode and between the last eating episode and going to sleep (independent variables) were investigated. Outcome measures were meal and sleep times, as well as food consumption throughout the day. Results Food consumption closer to sleep at night is associated with higher total daily caloric intake in the first (β = −0.337, p = 0.016) and second trimesters (Ts) of pregnancy (β = −0.240, p = 0.023), and with longer sleep duration on weekdays (p &lt; 0.05 for all three trimesters). We did not find associations between the wake-up to first eating episode interval and total calories (p &gt; 0.05 for all three trimesters), but the longer this interval, the greater the percentage of calories at dinner (1T: β = 0.266, p = 0.003; 2T: β = 0.269, p = 0.045) and at the last meal (1T: β = 0.324, p = 0.001; 2T: β = 0.231, p = 0.033). Discussion Taking longer to eat the first meal after waking up is associated with higher caloric intake later in the day, while taking longer to sleep after eating the last meal is associated with higher total daily caloric intake and shorter sleep duration, especially in the beginning and middle of pregnancy.

Sleep Duration and Blood Pressure in Youth Referred for Elevated Blood Pressure Evaluation.

Sleep promotion is not specifically recommended as a target for hypertension management. We examined associations of sleep duration and timing with blood pressure parameters in patients referred to pediatric nephrology clinic for elevated blood pressure evaluation. This is a retrospective study of initial ambulatory blood pressure monitoring data and self-report sleep data collected from patients referred to nephrology clinic for the evaluation of elevated blood pressure. Linear and logistic regression modeling determined associations between sleep exposures (duration and timing) and continuous and dichotomous blood pressure outcomes, respectively, adjusted for age, sex, body mass index, and weekday versus weekend status. The study sample included 539 patients with mean age 14.6 years and 56% meeting hypertension criteria. Sleep duration averaged 9.1 hours per night. Average timing of sleep onset and offset were 11:06 pm and 8:18 am, respectively. Longer sleep duration was associated with better daytime blood pressure parameters (eg, every extra hour of sleep duration was associated with a reduced odds of wake hypertension [odds ratio, 0.88; 95% CI, 0.79-0.99]). Later sleep onset was associated with worse daytime blood pressure parameters (eg, each additional hour of later sleep onset was associated with higher wake systolic blood pressure index [mean wake blood pressure/95th percentile]) (β = 0.07; 95% CI, 0.02-0.13). Associations were consistent across sex, age, body mass index, and weekday status. Longer sleep duration and earlier sleep onset were associated with lower blood pressure. This suggests that sleep optimization may be an important target for intervention in hypertension management.

The causal relationship between sleep and risk of psychiatric disorders: A two-sample mendelian randomization study.

Sleep is associated with psychiatric disorders. However, their causality remains unknown. The study explored the causal relationship between seven sleep parameters (sleep duration, insomnia, sleep apnea, chronotype, daytime dozing, napping during the day, and snoring) and three psychiatric disorders including major depressive disorder (MDD), schizophrenia, and attention-deficit/hyperactivity disorder (ADHD) using two-sample Mendelian randomization (MR). Genome-wide association study (GWAS) summary data for sleep parameters were obtained from the United Kingdom biobank, FinnGen biobank, and EBI databases. MR-Egger, weighted median, inverse-variance weighted (IVW), simple mode, weighted mode, maximum likelihood, penalized weighted median, and IVW(fixed effects) were used to perform the MR analysis. The heterogeneity was detected by Cochran's Q statistic. The horizontal pleiotropy was detected by MR Egger. The sensitivity was investigated by the leave-one-out analysis. Insomnia (OR = 2.02, 95%CI = 1.34-3.03, p = 0.001, False-discovery rate (FDR) corrected p-value = 0.011) and napping during the day (OR = 1.81, 95%CI = 1.34-2.44, FDR corrected p-value<0.001) were associated with an increased risk of MDD. Longer sleep duration (OR = 2.20, 95%CI = 1.24-3.90, FDR corrected p-value = 0.049) had an association with the increased risk of schizophrenia, while daytime dozing (OR = 4.44, 95%CI = 1.20-16.41, corrected p-value = 0.088)and napping during the day (OR = 2.11, 95%CI = 1.11-4.02, FDR corrected p-value = 0.088) had a suggestive association with an increased risk of schizophrenia. Longer sleep duration had a suggestive association with a decreased risk of ADHD (OR = 0.66, 95%CI = 0.42-0.93, FDR corrected p-value = 0.088). This study provides further evidence for a complex relationship between sleep and psychiatric disorders. Our findings highlight the potential benefits of addressing sleep problems in the prevention of psychiatric disorders.

Movement behaviour typologies and their associations with adiposity indicators in children and adolescents: a latent profile analysis of 24-h compositional data

ObjectivesGrowing evidence supports the important role of 24-hour movement behaviours (MB) in preventing childhood obesity. However, research to understand the heterogeneity and variability of MB among individuals and what kind of typologies of individuals are at risk of developing obesity is lacking. To bridge this gap, this study identified typologies of 24-hour MB in children and adolescents and investigated their associations with adiposity indicators.MethodsIn this cross-sectional study, 374 children and 317 adolescents from the Czech Republic wore wrist-worn accelerometers for seven consecutive days. Time spent in moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), sedentary behaviour (SB), and sleep was quantified using raw accelerometery data. Adiposity indicators included body mass index (BMI) z-score, fat mass percentage (FM%), fat mass index (FMI), and visceral adipose tissue (VAT). Bias-adjusted latent profile analysis was used on the 24-hour MB data to identify MB typologies and their associations with adiposity indicators. The models were adjusted for potential confounders. The identified typologies were labelled to reflect the behavioural profiles of bees to aid interpretability for the general public.ResultsTwo typologies were identified in children: highly active Workers characterised by high levels of MVPA and LPA, and inactive Queens characterised by low levels of MVPA and LPA, high levels of SB and longer sleep duration compared to Workers. In adolescents, an additional typology labelled as Drones was characterised by median levels of MVPA, LPA, SB and longest sleep duration. After controlling for covariates, we found that children labelled as Queens were associated with 1.38 times higher FM%, 1.43 times higher FMI, and 1.67 times higher VAT than Workers. In adolescents, Drones had 1.14 times higher FM% and Queens had 1.36 higher VAT in comparison with Workers, respectively.ConclusionOur study highlights the importance of promoting active lifestyles in children and adolescents to potentially reduce adiposity. These findings can provide insights for interventions aimed at promoting healthy MB and preventing childhood obesity.Graphical

Adolescents’ trajectories of depression and anxiety symptoms prior to and during the COVID-19 pandemic and their association with healthy sleep patterns

The COVID-19 pandemic has seen a rise in anxiety and depression among adolescents. This study aimed to investigate the longitudinal associations between sleep and mental health among a large sample of Australian adolescents and examine whether healthy sleep patterns were protective of mental health in the context of the COVID-19 pandemic. We used three waves of longitudinal control group data from the Health4Life cluster-randomized trial (N = 2781, baseline Mage = 12.6, SD = 0.51; 47% boys and 1.4% ‘prefer not to say’). Latent class growth analyses across the 2 years period identified four trajectories of depressive symptoms: low-stable (64.3%), average-increasing (19.2%), high-decreasing (7.1%), moderate-increasing (9.4%), and three anxiety symptom trajectories: low-stable (74.8%), average-increasing (11.6%), high-decreasing (13.6%). We compared the trajectories on sociodemographic and sleep characteristics. Adolescents in low-risk trajectories were more likely to be boys and to report shorter sleep latency and wake after sleep onset, longer sleep duration, less sleepiness, and earlier chronotype. Where mental health improved or worsened, sleep patterns changed in the same direction. The subgroups analyses uncovered two important findings: (1) the majority of adolescents in the sample maintained good mental health and sleep habits (low-stable trajectories), (2) adolescents with worsening mental health also reported worsening sleep patterns and vice versa in the improving mental health trajectories. These distinct patterns of sleep and mental health would not be seen using mean-centred statistical approaches.

Assessment of Stress and Well-Being of Japanese Employees Using Wearable Devices for Sleep Monitoring Combined With Ecological Momentary Assessment: Pilot Observational Study.

Poor sleep quality can elevate stress levels and diminish overall well-being. Japanese individuals often experience sleep deprivation, and workers have high levels of stress. Nevertheless, research examining the connection between objective sleep assessments and stress levels, as well as overall well-being, among Japanese workers is lacking. This study aims to investigate the correlation between physiological data, including sleep duration and heart rate variability (HRV), objectively measured through wearable devices, and 3 states (sleepiness, mood, and energy) assessed through ecological momentary assessment (EMA) and use of rating scales for stress and well-being. A total of 40 office workers (female, 20/40, 50%; mean age 40.4 years, SD 11.8 years) participated in the study. Participants were asked to wear a wearable wristband device for 8 consecutive weeks. EMA regarding sleepiness, mood, and energy levels was conducted via email messages sent by participants 4 times daily, with each session spaced 3 hours apart. This assessment occurred on 8 designated days within the 8-week timeframe. Participants' stress levels and perception of well-being were assessed using respective self-rating questionnaires. Subsequently, participants were categorized into quartiles based on their stress and well-being scores, and the sleep patterns and HRV indices recorded by the Fitbit Inspire 2 were compared among these groups. The Mann-Whitney U test was used to assess differences between the quartiles, with adjustments made for multiple comparisons using the Bonferroni correction. Furthermore, EMA results and the sleep and HRV indices were subjected to multilevel analysis for a comprehensive evaluation. The EMA achieved a total response rate of 87.3%, while the Fitbit Inspire 2 wear rate reached 88.0%. When participants were grouped based on quartiles of well-being and stress-related scores, significant differences emerged. Specifically, individuals in the lowest stress quartile or highest subjective satisfaction quartile retired to bed earlier (P<.001 and P=.01, respectively), whereas those in the highest stress quartile exhibited greater variation in the midpoint of sleep (P<.001). A multilevel analysis unveiled notable relationships: intraindividual variability analysis indicated that higher energy levels were associated with lower deviation of heart rate during sleep on the preceding day (β=-.12, P<.001), and decreased sleepiness was observed on days following longer sleep durations (β=-.10, P<.001). Furthermore, interindividual variability analysis revealed that individuals with earlier midpoints of sleep tended to exhibit higher energy levels (β=-.26, P=.04). Increased sleep variabilities, characterized by unstable bedtime or midpoint of sleep, were correlated with elevated stress levels and diminished well-being. Conversely, improved sleep indices (eg, lower heart rate during sleep and earlier average bedtime) were associated with heightened daytime energy levels. Further research with a larger sample size using these methodologies, particularly focusing on specific phenomena such as social jet lag, has the potential to yield valuable insights. UMIN-CTR UMIN000046858; https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000053392.

The association between sleep duration and cardiometabolic risk among children and adolescents in the United States (US): A NHANES study.

This work aims to assess the association of sleep duration with cardiometabolic risk (adiposity, blood pressure, lipids, albuminuria and A1C) and to investigate lifestyle factors (physical activity, light exposure, caffeine consumption and sugar consumption) associated with sleep duration in children. A nationally representative sample of 3907 children ages 6-17 years enrolled in NHANES from 2011 to 2014 was included in this cross-sectional study. Sleep duration was defined as the daily average time spent sleeping over 7days as measured by a physical activity monitor (PAM). Participants without valid sleep data for ≥95% of the study were excluded. Regression models were adjusted for age, sex, race, body mass index (BMI) Z score, physical activity and light exposure. In adjusted regression models, longer sleep duration was associated with lower systolic blood pressure index (β = -3.63*10-5, 95% CI -6.99*10-5, -2.78*10-6, p = 0.035) and BMI Z score (β = -0.001, 95% CI -0.001, 0.000, p = 0.002). In logistic regression models, longer sleep duration was associated with lower odds of obesity (OR = 0.998, 95% CI 0.997, 0.999, p < 0.001) and overweight status (OR = 0.998, 95% CI 0.997, 0.999, p = 0.004). Greater light exposure (β = 6.64*10-5, 95% CI 3.50*10-5, 9.69*10-5, p < 0.001) and physical activity (β = 0.005, 95% CI 0.004, 0.006, p < 0.001) were associated with longer sleep. Longer sleep duration was associated with lower blood pressure and adiposity measures in children. Improving sleep quality by increasing physical activity and light exposure in childhood may decrease the lifetime risk of cardiometabolic disease.

Data-driven clustering approach to identify novel clusters of high cognitive impairment risk among Chinese community-dwelling elderly people with normal cognition: A national cohort study.

Cognitive impairment is a highly heterogeneous disorder that necessitates further investigation into the distinct characteristics of populations at varying risk levels of cognitive impairment. Using a large-scale registry cohort of elderly individuals, we applied a data-driven approach to identify novel clusters based on diverse sociodemographic features. A prospective cohort of 6398 elderly people from the Chinese Longitudinal Healthy Longevity Survey, followed between 2008-14, was used to develop and validate the model. Participants were aged ≥60 years, community-dwelling, and the Chinese version of the Mini-Mental State Examination (MMSE) score ≥18 were included. Sixty-nine sociodemographic features were included in the analysis. The total population was divided into two-thirds for the derivation cohort (n = 4265) and one-third for the validation cohort (n = 2133). In the derivation cohort, an unsupervised Gaussian mixture model was applied to categorise participants into distinct clusters. A classifier was developed based on the most important 10 factors and was applied to categorise participants into their corresponding clusters in a validation cohort. The difference in the three-year risk of cognitive impairment was compared across the clusters. We identified four clusters with distinct features in the derivation cohort. Cluster 1 was associated with the worst life independence, longest sleep duration, and the oldest age. Cluster 2 demonstrated the highest loneliness, characterised by non-marital status and living alone. Cluster 3 was characterised by the lowest sense of loneliness and the highest proportions in marital status and family co-residence. Cluster 4 demonstrated heightened engagement in exercise and leisure activity, along with independent decision-making, hygiene, and a diverse diet. In comparison to Cluster 4, Cluster 1 exhibited the highest three-year cognitive impairment risk (adjusted odds ratio (aOR) = 3.31; 95% confidence interval (CI) = 1.81-6.05), followed by Cluster 2 and Cluster 3 after adjustment for baseline MMSE, residence, sex, age, years of education, drinking, smoking, hypertension, diabetes, heart disease and stroke or cardiovascular diseases. A data-driven approach can be instrumental in identifying individuals at high risk of cognitive impairment among cognitively normal elderly populations. Based on various sociodemographic features, these clusters can suggest individualised intervention plans.

Analyzing the impact of sleep duration on atrial fibrillation risk: a comprehensive systematic review and meta-analysis.

Recent studies have suggested an association between sleep duration and cardiovascular diseases; however, the link to AF is inconclusive. This study aimed to explore the relationship between sleep duration and AF by conducting a systematic review and meta-analysis of primary studies to provide evidence of the link between insufficient sleep and AF. A review of the existing literature was conducted to identify the primary studies that examined the association between AF and sleep duration. The inquiry spanned databases, including PubMed, Embase, MEDLINE, and Google Scholar, from their inception through October 2023. Meta-analysis revealed a statistically significant association (p < 0.01) between shorter sleep duration and the incidence of AF (hazard ratio (HR), 1.18; 95% CI, 1.03-1.34; I2 = 89%). Conversely, longer sleep duration did not exhibit a statistically significant association with the incidence of AF (HR, 1.03; 95% CI, 0.92-1.14; I2 = 66%, p = 0.02). The sensitivity analysis demonstrated reduced heterogeneity after excluding specific studies. Insufficient sleep duration was associated with an increased risk of AF, whereas a longer sleep duration did not show a significant correlation. Standardized methods for sleep assessment and AF diagnosis as well as adjustments for confounding factors are suggested for future studies to improve the clarity and understanding of these associations.

Longer sleep duration and neuroinflammation in at-risk elderly with a parental history of Alzheimer's disease.

Although short sleep could promote neurodegeneration, long sleep may be a marker of ongoing neurodegeneration, potentially as a result of neuroinflammation. The objective was to evaluate sleep patterns with age of expected Alzheimer's disease (AD) onset and neuroinflammation. We tested 203 dementia-free participants (68.5 ± 5.4 years old, 78M). The PREVENT-AD cohort includes older persons with a parental history of AD whose age was nearing their expected AD onset. We estimated expected years to AD onset by subtracting the participants' age from their parent's at AD dementia onset. We extracted actigraphy sleep variables of interest (times of sleep onset and morning awakening, time in bed, sleep efficiency, and sleep duration) and general profiles (sleep fragmentation, phase delay, and hypersomnia). Cerebrospinal fluid (CSF) inflammatory biomarkers were assessed with OLINK multiplex technology. Proximity to, or exceeding, expected age of onset was associated with a sleep profile suggestive of hypersomnia (longer sleep and later morning awakening time). This hypersomnia sleep profile was associated with higher CSF neuroinflammatory biomarkers (IL-6, MCP-1, and global score). Interaction analyses revealed that some of these sleep-neuroinflammation associations were present mostly in those closer/exceeding the age of expected AD onset, APOE4 carriers, and those with better memory performance. Proximity to, or exceeding, parental AD dementia onset was associated with a longer sleep pattern, which was related to elevated proinflammatory CSF biomarkers. We speculate that longer sleep may serve a compensatory purpose potentially triggered by neuroinflammation as individuals are approaching AD onset. Further studies should investigate whether neuroinflammatory-triggered long sleep duration could mitigate cognitive deficits.

Abstract P469: Ambient Weather is Associated With Sleep and Activity in Rural South

Background: Physical activity and sleep are two of the Life’s Essential 8 steps for a healthy lifestyle and prevention of cardiovascular disease. The role of weather on an individual’s ability to meet physical activity and sleep goals is unknown. This is relevant in rural settings where the risk of cardiovascular disease is disproportionately high and extreme weather patterns are common. Objective: To investigate the association between local weather conditions and physical activity and sleep, as measured by Fitbit devices among participants in rural Alabama. Methods: Participants were enrolled from rural counties in Alabama as part of an observational study to understand cardiovascular risk in the rural Southeast. Each enrolled participant was given a Fitbit device to collect physical activity and sleep data, including total steps per day and sleep duration for six months. Weather data were obtained from a NOAA Regional Climate Center’s Applied Climate Information System for the dates each participant collected physical activity and sleep data using the participants’ zip code as location. A linear mixed effects model was used to examine the associations of daily precipitation, minimum and maximum daily ambient temperature (modeled as tertiles), BMI, gender, and age with sleep duration and daily physical activity. Results: A total of 942 participants were enrolled in the subcohort from the Alabama counties and 716 (76%) received a Fitbit device. Complete data were available from 561 participants generating 63,176 study-days. The subcohort average age was 48.8 with average BMI of 36.0 Kg/m 2 , 70% (n =660) female, and 78.7% (n = 751) Black. On average, women slept 29.1 more minutes every night (p&lt; 0.001) but recorded 1,225 fewer steps (p &lt;0.001) in comparison to men. An increase in BMI (1 Kg/m 2 increment) was associated with lesser sleep duration (0.98 minutes; p = 0.02) and lower daily step count (70.5, p &lt;0.001). After adjusting for confounders, the upper tertile of ambient daily maximum temperature was associated with lesser sleep duration (5.3 minutes, p&lt;0.001) and physical activity (218 steps, p &lt; 0.001) in comparison to the middle tertile (referent). Conversely lowest tertile of ambient daily maximum temperature was associated with longer sleep duration (5.7 minutes, p=0.003) but not physical activity (22.0 steps, p = 0.71). An increase of an inch of ambient daily precipitation was not significantly associated with sleep duration (p=.49) but was associated with decreased physical activity (251 steps p &lt;0.001). Conclusions: In our cross-sectional study, local temperature and precipitation were associated with lesser sleep duration and physical activity. Further analyses are warranted to understand patterns of these associations and the identification of factors that exacerbate or mitigate these weather-related associations may inform clinical practices and research direction.

Abstract P525: Polygenic Risk Scores for Morning Chronotype and Longer Sleep Duration Are Associated With Weight and Glycemic Outcomes in the Multi-Ethnic Study of Atherosclerosis (MESA)

Introduction: Circadian rhythms regulate key physiological processes, including sleep-wake. Alterations in the circadian rhythm have been associated with greater risk of metabolic diseases. Genome-wide association studies (GWAS) have revealed genes variants associated with sleep phenotypes. Hypothesis: Polygenic risk scores (PRS) for significant SNPs reported in GWAS of chronotype (C), sleep duration (SD), and short sleep (SS, &lt;7/h) are associated with metabolic parameters. Methods: We carried out a longitudinal analysis in 6,814 adults (aged 45-84 y at baseline) from the Multi-Ethnic Study of Atherosclerosis (MESA). Glucose, insulin, insulin resistance (HOMA-IR), body mass index (BMI) and waist circumference (WC) were assessed at baseline (2000-2002) and 16-18 y follow-up (Exam 6, N=3,303). DNA was extracted from whole blood, and genotyping data were obtained by the Affymetrix 6.0 SNP array. PRS for the following phenotypes were constructed as weight sum of genoma-wide significant alleles: 1) chronotype [PRS-C]; 2) continuous SD [PRS-SD]; and 3) SS duration [PRS-SS]. Multivariable linear regression models adjusted by sociodemographic, obesity, smoking, Mediterranean diet, physical activity and antidiabetic drugs were performed to assess associations between PRS and study outcomes (fasting glucose and insulin, HOMA-IR, hemoglobin A1c, BMI, and WC) cross-sectionally and longitudinally. Results: At baseline, none of the PRS were associated with glucose, insulin or HOMA-IR (p&gt;0.05). A significant positive association was detected for PRS-C with BMI and WC: greater genetically determined morningness was associated with lower BMI (β=-20.0±3.0; p&lt;0.001) and smaller WC (β=-44.1±8.0; p&lt;0.001). Similar results were observed with PRS-SD (BMI: β=-0.1±0.0; p=0.005; WC: β=-0.3±0.1; p=0.008) and PRS-SS (BMI: β=9.3±2.8; p&lt;0.001; WC: β=19.8±7.4; p=0.007). In longitudinal analyses, we observed prospective associations between PRS-C with BMI (β=-43.5±12.2; p&lt;0.001), WC (β=-116.0.1±29.1; p&lt;0.001), and glucose (β=-204.7±90.0; p=0.024). PRS-SS was longitudinally associated with HOMA-IR (β=214.1±88.0; p=0.017) and a trend was observed for hemoglobin A1c (β=-6.6±3.4; p=0.053), but not with anthropometrics parameters. No associations were noted for PRS-SD with obesity and glycemic outcomes in longitudinal analyses. Conclusion: In the MESA population, PRS for chronotype, sleep duration, and short sleep are associated with anthropometric but not with glycemic measures in cross-sectional analyses. However, PRS for chronotype and short sleep was associated with anthropometric and glycemic parameters in longitudinal analyses, suggesting the importance of genetic predisposition for morningness and adequate sleep duration for metabolic health.

The Impact of the Double School Shift System on Lifestyle Behaviors Among Mexican Adolescents

PurposeEarly school start times could adversely impact adolescent sleep duration. They could also impact other behaviors like diet and physical activity, either directly or indirectly through effects on sleep. We examined whether the double school shift system was associated with sleep, diet, and physical activity behaviors among Mexican adolescents. MethodsThe analytic sample included 305 Mexican adolescents from a cohort study (on average 14.53 ± 1.75 years old and 51% male). Sleep and physical activity were measured with wrist actigraphy, while diet and other lifestyle behaviors were assessed with questionnaires. Regression analyses were conducted to compare lifestyle behaviors between the morning and afternoon school shifts, adjusting for potential confounders. ResultsAdolescents attending the morning school shift (44%) had pronounced differences in sleep compared to those attending afternoon shift, including a 1.77-hour shorter sleep duration on weekdays (95% CI -1.55, −2.00), a 0.40-hour longer sleep duration on weekends (95% CI 0.10, 0.70), higher social jetlag (1.07 hours with a 95% CI of 0.87, 1.27), and an earlier chronotype. Morning shift students also had 0.85 hours longer sedentary time (95% CI 0.61, 1.10) and higher consumption of a meat and starchy food dietary pattern. Among boys only, morning shift was associated with a lower likelihood of smoking and higher consumption of a breakfast pattern. DiscussionOverall, attending a morning school shift was associated with shorter sleep, more social jetlag, greater sedentary time, and higher consumption of a meat and starchy diet. However, among boys, a few healthier behaviors were observed for the morning versus afternoon shift.

Association between sleep duration and psychological resilience in a population-based survey: A cross-sectional study.

The study aimed to find out the association between sleep duration and psychological resilience in a population-based survey. A cross-sectional survey was conducted in August 2022, employing a cluster random sampling method to recruit community residents at Futian District in Shenzhen, China. A total of 2,445 participants aged 18 years and over were included in the study. The Brief Resilience Scale (BRS) was utilized to measure psychological resilience, and sleep duration was classified according to the American Heart Association's sleep duration categories. Multivariable linear regression was used to analyze the relationship between psychological resilience and sleep duration after adjusting for gender, age, smoking status, physical exercise frequency, body mass index (BMI), and education level. The participants displayed moderate levels of psychological resilience, with a mean resilience score of 3.46 (standard deviation [SD] = 0.62) and a mean sleep duration of 7.04 h (SD = 1.10). After adjusting for covariates, longer sleep duration was associated with higher psychological resilience (β = 0.047, P < 0.05), indicating that participants with a long sleep duration had higher resilience scores than those with a short sleep duration. Longer sleep duration is positively associated with higher psychological resilience in community residents. These findings suggest that improving sleep duration may be a promising approach to enhancing psychological resilience, preventing psychological problems, and promoting overall physical and mental health development.