OBJECTIVE: We examined the one-year test re-test reliability and validity criterion of survey-assessed sleep duration collected from two separate questions.
METHODS: The Activity Validation Sub Study included 751 participants of the Cancer Prevention Study-3 study to further investigate rest/activity cycles. Sleep duration was collected using three methods: survey, Daysimeter device, and sleep diary. Survey-assessed sleep duration was collected using 2 different questions, each with different response options (categorical and continuous). Selected participants (n = 170) were asked to wear a Daysimeter device for seven consecutive days for two non-consecutive quarters. Participants were excluded from the current study due to incomplete/implausible survey or device data or reported working night shift. We calculated reliability of pre- and post-survey sleep duration for both survey question using Spearman correlation. We used the method of triads to estimate the validity coefficient (VC) between the three sleep duration measurements in the present study and the \"true\" latent sleep duration measure, and bootstrapping methods to calculate the 95% confidence intervals (95%CI).
RESULTS: Of 119 participants included in the study (52.10% male), test-retest correlation showed strong and moderate correlations for sleep duration collected continuously and categorically, respectively. The VC for survey-assessed continuous sleep duration was 0.82 (95%CI 0.71, 0.90) for weekday and 0.68 (95%CI 0.46, 0.83) for weekend. Performance of the VC was slightly weaker for survey-assessed categorical sleep duration (weekday VC = 0.57 95%CI 0.42, 0.71; weekend VC = 0.47 95%CI 0.29, 0.62).
CONCLUSIONS: The two survey-assessed sleep duration questions used in the AVSS and CPS-3 cohorts are valid approximations of sleep duration.

OBJECTIVE: The effect of various sleep traits on the risk of lung cancer differs among pre-existing studies. This study aims to systematically review and synthesise the association between sleep duration and insomnia with the incidence of lung cancer.
METHODS: PubMed, Embase and The Cochrane Library were searched from inception to 23 April 2023 for observational studies examining the effect of sleep quantity or insomnia on lung cancer incidence. We pooled maximally-adjusted hazard ratios and odds ratios separately using random effects inverse variance weighted models. The risk of bias of observational studies was assessed using the Newcastle-Ottawa Scale.
RESULTS: We included 11 observational studies with a pooled cohort of 5,049,141 patients. The mean age of the patients was 49.5 ± 17.7 years, and 51.4% were males. The risk of bias ranged from low-moderate. Individuals who slept for a shorter or longer duration than the reference range of sleep per night showed an increased risk of lung cancer by 11% (HR:1.11; 95%CI:1.00-1.23) and 16% (HR:1.16; 95%CI:1.06-1.27) respectively. Furthermore, individuals with insomnia symptoms had a 9% greater risk of lung cancer than those without symptoms (HR:1.09; 95%CI:1.05-1.13).
CONCLUSIONS: This study suggests that insufficient sleep, excessive sleep and insomnia may be associated with an increased risk of lung cancer. Physicians should be mindful of this association and encourage healthy sleep practises among patients. Given the observed heterogeneity among some pre-existing studies, future research with longer periods of follow-up, greater control for covariates and objective testing of sleep parameters may add value to this topic.

BACKGROUND: Although long-term exposures to air pollutants have been linked to mental disorders, existing studies remain limited and inconsistent. We investigated the relationship between exposure to particulate matter (PM) and depressive symptoms, as well as the potential role of sleep duration and physical activity.
METHODS: Using the surveillance data (2019 to 2022) of common diseases and risk factors among 312,390 students aged 10-25 years, logistic regression, generalized liner model (GLM) and restricted cubic spline (RCS) were employed to investigate the relationship between long-term exposure to PM and depressive symptoms.
RESULTS: Significant associations were found between PM1 (OR = 1.21, 95 % CI: 1.12-1.32), PM2.5 (OR = 1.24, 95 % CI: 1.19-1.38), and PM10 (OR = 1.87, 95 % CI: 1.69-2.07) and increased risks of depressive symptoms. Sleep duration and physical activity relieved these associations. The odds ratios (ORs) of PM1, PM2.5, and PM10 on depressive symptoms were lower in group with sufficient sleep (1.02 vs. 1.49, 1.20 vs. 1.80, 2.15 vs. 2.23), lower in group with high level MVPA (1.13 vs. 1.48, 1.14 vs. 1.58, 1.85 vs. 2.38), and lower in group with high level outdoor activity (1.19 vs. 1.55, 1.23 vs. 1.63, 1.83 vs. 2.72).
CONCLUSIONS: Conclusions about causality remain speculative because of the cross-sectional design.
CONCLUSIONS: Sufficient sleep duration and outdoor activity may mitigate the decline in mental health among adults in developing countries caused by long-term exposure to PM. This contribution enhanced our understanding of the mechanisms linking air pollution to mental health.

BACKGROUND: Public health concerns over the impact of social media use (SMU) on adolescent health are growing. We investigated the relationship between SMU and sleep health in adolescents in Canada aged 11 to 17 years.
METHODS: Data from the 2017-2018 Health Behaviour in School-aged Children study were available for 12 557 participants (55.2% female). SMU was categorized by frequency of use (non-active, active and intense) and the presence of addiction-like symptoms (problematic). Mixed effects logistic regression models identified associations between SMU and seven sleep health indicators (insomnia symptoms, daytime wakefulness problems, screen time before bed, meeting sleep duration recommendations, sleep variability and late bedtime on school and non-school days).
RESULTS: Compared to active SMU, non-active SMU was associated with better sleep indicators, except for insomnia symptoms. Intense SMU was associated with greater odds of having poor sleep health indicators (adjusted odds ratio [aORs] from 1.09 to 2.24) and problematic SMU with the highest odds (aORs from 1.67 to 3.24). Associations with problematic SMU were greater among girls than boys, including having a later bedtime on school days (aOR = 3.74 vs. 1.84) and on non-school days (aOR = 4.13 vs. 2.18). Associations between SMU and sleep outcomes did not differ by age group.
CONCLUSIONS: Intense and problematic SMU were associated with greater odds of poor sleep health among adolescents in Canada, with stronger associations among girls than boys. Further research is needed to understand the mechanisms underlying associations between SMU and sleep to inform public health recommendations.
BACKGROUND: Les effets de l’utilisation des médias sociaux sur la santé des adolescents soulèvent de plus en plus de préoccupations en matière de santé publique. Nous avons exploré la relation entre cette utilisation et la santé du sommeil chez les adolescents du Canada de 11 à 17 ans.
UNASSIGNED: Des données de l’Enquête sur les comportements de santé des jeunes d’âge scolaire de 2017-2018 étaient disponibles pour 12 557 participants (dont 55,2 % de sexe féminin). Des catégories d’utilisation des médias sociaux ont été établies en fonction de la fréquence (utilisation non active, active ou intensive) et de la présence de symptômes évoquant une dépendance (utilisation problématique). Des modèles de régression logistique à effets mixtes ont révélé des associations entre l’utilisation des médias sociaux et sept indicateurs de la santé du sommeil (symptômes d’insomnie, somnolence diurne, utilisation d’un écran avant de se coucher, respect des recommandations sur la durée du sommeil, variabilité du sommeil, heure de coucher tardive les jours d’école et heure de coucher tardive les jours de repos).
UNASSIGNED: Comparativement à une utilisation active des médias sociaux, une utilisation non active a été associée à de meilleurs résultats des indicateurs de la santé du sommeil, sauf en ce qui concerne les symptômes d’insomnie. Une utilisation intensive des médias sociaux a été associée à un risque accru d’indicateurs défavorables de la santé du sommeil (rapport de cotes ajusté [RCa] de 1,09 à 2,24) et une utilisation problématique a été associée au RCa le plus élevé (1,67 à 3,24). Les associations avec une utilisation problématique des médias sociaux étaient plus marquées chez les filles que chez les garçons, en particulier en ce qui concerne l’heure de coucher tardive les jours d’école (RCa = 3,74 vs 1,84) et les jours de repos (RCa = 4,13 vs 2,18). Les associations entre l’utilisation des médias sociaux et les résultats en matière de sommeil ne variaient pas selon la tranche d’âge.
CONCLUSIONS: Une utilisation intensive et une utilisation problématique des médias sociaux ont été associées à un risque accru de troubles du sommeil chez les adolescents du Canada, avec des associations plus marquées chez les filles que chez les garçons. D’autres recherches doivent être menées pour éclaircir les mécanismes à l’origine des associations entre l’utilisation des médias sociaux et le sommeil, de manière à orienter les recommandations en matière de santé publique.
Intense and problematic social media use were both associated with worse sleep health compared to active social media use. The highest odds of having poor sleep health indicators were associated with problematic social media use (adjusted odds ratios from 1.67 to 3.24) assessed using the Social Media Disorder Scale. Non-active social media use was linked to better sleep health. Associations between poor sleep health indicators and social media use were stronger among girls than boys. Across social media use categories, odds ratios for having poor sleep health indicators did not differ by age group.
Une utilisation intensive et une utilisation problématique des réseaux sociaux ont toutes deux été associées à une moins bonne santé du sommeil, comparativement à une utilisation active des médias sociaux. La probabilité la plus élevée de présenter des indicateurs défavorables de la santé du sommeil (rapport de cotes ajusté de 1,67 à 3,24) a été associée à une utilisation problématique des médias sociaux selon la définition de l’échelle des troubles liés aux médias sociaux (Social Media Disorder Scale; SMDS). Une utilisation non active des médias sociaux a été associée à une meilleure santé du sommeil. Les associations entre les indicateurs défavorables de la santé du sommeil et l’utilisation des médias sociaux se sont révélées plus marquées chez les filles que chez les garçons. Les rapports de cotes pour les indicateurs défavorables de la santé du sommeil n’ont pas varié selon la tranche d’âge.

Two researchers independently assessed studies published up to February 5, 2023, across PubMed, Web of Science, Embase, and Cochrane Library, to investigate the associations of sleep traits with cardiometabolic risk factors, as well as with cardiovascular diseases. Fourteen systematic reviews consisting of 23 meta-analyses, and 11 Mendelian randomization (MR) studies were included in this study. Short sleep duration was associated with a higher risk of obesity, type 2 diabetes (T2D), hypertension, stroke, and coronary heart disease (CHD) in observational studies, while a causal role was only demonstrated in obesity, hypertension, and CHD by MR. Similarly, long sleep duration showed connections with a higher risk of obesity, T2D, hypertension, stroke, and CHD in observational studies, none was supported by MR analysis. Both observational and MR studies indicated heightened risks of hypertension, stroke, and CHD in relation to insomnia. Napping was linked to elevated risks of T2D and CHD in observational studies, with MR analysis confirming a causal role in T2D. Additionally, snoring was correlated with increased risks of stroke and CHD in both observational and MR studies. This work consolidates existing evidence on a causal relationship between sleep characteristics and cardiometabolic risk factors, as well as cardiovascular diseases.

UNASSIGNED: Extensive researches highlight the detrimental impact of sleep disorders such as insomnia and insufficient sleep duration on kidney function. However, establishing a clear causal relationship between insomnia, sleep duration, and kidney function remains challenging. This study aims to estimate this relationship using Mendelian randomization (MR).
UNASSIGNED: Independent genetic variants strongly associated with insomnia (N = 462,341) and sleep duration (N = 460,099) were selected as instrumental variables from corresponding genome-wide association studies (GWAS). Kidney function parameters, including serum creatinine, estimated glomerular filtration rate by cystatin C (eGFRcys), acute renal failure (ARF), chronic renal failure (CRF), kidney injury molecule-1, neutrophil gelatinase associated lipocalin, microalbuminuria, cystatin C, and β2 microglobulin, were derived from GWAS databases. A two-sample MR study was conducted to assess the causal relationship between sleep disorders and kidney function, and multivariable MR was used to identify potential mediators. The inverse-variance weighted was used as the primary estimate.
UNASSIGNED: MR analysis found robust evidence indicating that insomnia and short sleep duration were associated with an increased risk of elevated serum creatinine, regardless of adjusting for obesity. Causal links between sleep duration and eGFRcys or cystatin C were also identified. While genetically predicted insomnia and sleep duration were found to potentially impact ARF, CRF, microalbuminuria, and β2 microglobulin, the p-values in multivariable MR analysis became nonsignificant. No pleiotropy was detected.
UNASSIGNED: This study demonstrates a causal impact of insomnia on the risk of elevated serum creatinine and a positive effect of sleep duration on serum creatinine, eGFRcys, and cystatin C. Our findings also suggest their potential indirect effects on ARF, CRF, microalbuminuria, and β2 microglobulin mediated by obesity.

UNASSIGNED: Some cardiovascular risk markers have been associated with alterations in sleep duration in different populations; however, there is little evidence in a healthy population.
UNASSIGNED: The aim of the present study was to analyze the associations between sleep duration and cardiovascular risk biomarkers, including advanced glycation end-products (AGEs) measured by skin autofluorescence (SAF), maximum carotid intima-media thickness (IMTMax), aortic pulse wave velocity (a-PWV), pulse pressure (PP), and low-density lipoprotein cholesterol (LDL-C), in healthy adults (EVasCu study).
UNASSIGNED: The EVasCu study included 390 participants. Simple and multiple linear regressions were performed between sleep duration and cardiovascular risk markers. ANOVA analysis and ANCOVA analysis adjusted for various covariates were then performed after categorizing sleep into 6 h, 6-8 h, and >8 h.
UNASSIGNED: 296 participants were included in the analyses (43.97 ± 12.60 years, 63.9% female). Simple linear regressions showed an inverse association between sleep duration and SAF, IMTMax, aPWV and PP. However, in the multiple linear regression with all the covariates, the statistical significance was lost. For its part, in the ANOVA analyses, sleep duration was also associated with the same parameters, but when performing the fully adjusted ANCOVA analyses, the statistical significance for SAF was maintained (p = 0.015), obtaining a difference of 0.223 arbitrary units (p = 0.017) when comparing the group <6 h vs. > 8 h. Finally, there was no association for LDL-C.
UNASSIGNED: An inverse association was found between sleep duration and APS, which is considered a marker of cardiovascular risk. Although prospective studies are needed, it is suggested that insufficient sleep may increase cardiovascular risk, which could be a key factor in future public health policies to promote health and prevent CVD.

BACKGROUND: We aimed to explore the association of sleep duration with depressive symptoms among rural-dwelling older adults in China, and to estimate the impact of substituting sleep with sedentary behavior (SB) and physical activity (PA) on the association with depressive symptoms.
METHODS: This population-based cross-sectional study included 2001 rural-dwelling older adults (age ≥ 60 years, 59.2% female). Sleep duration was assessed using the Pittsburgh Sleep Quality Index. We used accelerometers to assess SB and PA, and the 15-item Geriatric Depression Scale to assess depressive symptoms. Data were analyzed using restricted cubic splines, compositional logistic regression, and isotemporal substitution models.
RESULTS: Restricted cubic spline curves showed a U-shaped association between daily sleep duration and the likelihood of depressive symptoms (P-nonlinear < 0.001). Among older adults with sleep duration < 7 h/day, reallocating 60 min/day spent on SB and PA to sleep were associated with multivariable-adjusted odds ratio (OR) of 0.81 (95% confidence interval [CI] = 0.78-0.84) and 0.79 (0.76-0.82), respectively, for depressive symptoms. Among older adults with sleep duration ≥ 7 h/day, reallocating 60 min/day spent in sleep to SB and PA, and reallocating 60 min/day spent on SB to PA were associated with multivariable-adjusted OR of 0.78 (0.74-0.84), 0.73 (0.69-0.78), and 0.94 (0.92-0.96), respectively, for depressive symptoms.
CONCLUSIONS: Our study reveals a U-shaped association of sleep duration with depressive symptoms in rural older adults and further shows that replacing SB and PA with sleep or vice versa is associated with reduced likelihoods of depressive symptoms depending on sleep duration.

BACKGROUND: The association between sleep patterns and young students\' mental health, which is crucial for their development, remains understudied in rural China. Therefore, the relationship between sleep patterns and mental health among primary and junior high school students in rural China was examined.
METHODS: A total of 1592 primary and junior high school students from rural areas of Gansu Province were surveyed, and the Depression Anxiety and Stress Scale (DASS) was utilized to assess mental health, alongside self-reported data on their daily sleep patterns.
RESULTS: Significant sleep inadequacies were identified: 28% of students received less than 8 h of sleep on weekdays, and 19% went to bed later than recommended. On weekends, 38% of students had delayed bedtimes, though only 7.2% received less than 8 h of sleep. Notably, a \"U-shaped\" relationship was uncovered between sleep duration and mental health for students on weekends, with optimal mental health correlated with receiving 10-11 h of sleep, while both shorter and longer sleep durations on weekends worsened outcomes. This pattern is absent on weekdays. Additionally, adequate sleep and an earlier bedtime was linked to a 6-8% decrease in mental health risks.
CONCLUSIONS: These findings provide valuable insights for policymakers seeking to enhance student mental well-being in rural settings, emphasizing the importance of implementing measures that promote balanced sleep habits among young students.

OBJECTIVE: To consolidate adolescents\' perspectives regarding various aspects of sleep and offer insights to promote healthier sleep habits during their critical developmental years.
METHODS: Six electronic databases (PubMed, CINAHL, Embase, Scopus, PsycINFO and Web of Science) were searched from their inception dates to June 2023. Data were extracted and meta-summarised using Sandelowski and Barroso\'s approach and synthesised using Thomas and Harden\'s thematic analysis framework.
RESULTS: Meta-synthesis from 11 peer-reviewed published studies identified four main themes: (1) Awareness and understanding of sleep\'s significance, (2) The shadows and radiance of slumber, (3) Traversing the sleepscape: trouble bubbles and (4) Illuminating the path: Guiding lights to enhanced sleep.
CONCLUSIONS: Our review findings suggest a lack of awareness and guidance regarding the significance of sleep and the cultivation of good sleep habits among adolescents. Identified barriers to adequate sleep encompass various factors, including overthinking, poor habits, family/environmental influences, extensive technology use, peer pressure, the fear of missing out, academic demands and involvement in extracurricular activities. Strategies to improve adolescents\' sleep health involve multiple sleep strategies, including sleep education, workshops/seminars, parental involvement, incorporating digital well-being practices, the promotion of relaxation techniques and the provision of essential resources. Prioritising sleep health and implementing targeted interventions are key steps to empower adolescents, create supportive environments and shape a healthier future generation. Future research endeavours should focus on evaluating the effectiveness of interventions and exploring the influence of cultural factors.
CONCLUSIONS: There exists a notable lack of awareness and guidance regarding the significance of sleep and the cultivation of good sleep habits among adolescents. Barriers to achieving adequate sleep among adolescents include overthinking, poor habits, family/environmental influences, extensive technology use, peer pressure, the fear of missing out, academic demands and involvement in extracurricular activities. The collaboration between healthcare institutions, professionals and educational institutions is crucial to facilitate (1) the implementation of sleep education workshops/seminars targeting adolescents, (2) increased parental involvement and role-modelling to instil good sleep practices among adolescents and (3) enhanced integration of digital well-being practices, the promotion of relaxation techniques and accessibility to essential sleep hygiene resources.
UNASSIGNED: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
UNASSIGNED: No patient or public contribution.
UNASSIGNED: This review was registered on the Prospective Register of Systematic Reviews (CRD42023403775).