Sleep Health最新文献

Background: Inadequate sleep is associated with all-cause mortality in the general population. Substance use has adverse effects on sleep, and insomnia symptoms are common among people with HIV. Therefore, persons who inject drugs may face a heightened risk of adverse outcomes from inadequate sleep. We evaluated the association of inadequate sleep with mortality among persons who inject drugs in a long-standing community cohort.

Methods: Participants were from the AIDS Linked to the IntraVenous Experience (ALIVE) study, a cohort of persons who inject drugs in Baltimore, Maryland, USA. From 2005-2020, perceived sleep adequacy and duration were assessed semiannually using survey. Mortality data were obtained through linkage to the National Death Index-Plus. Cause of death was independently characterized and validated by three physicians. Hazards of all-cause and cause-specific mortality were evaluated using Cox regression accounting for repeated measurements.

Results: A total of 2633 participants were included, with a median age at entry of 45.8years; 32.5% were female, and 75% were Black. After adjustment for demographics, mental health, and comorbidities, inadequate sleep was associated with a 32% greater hazard of all-cause mortality (hazard ratio: 1.32, 95% confidence interval: 1.12-1.55) and a 67% greater hazard of HIV/infectious disease-related deaths (hazard ratio: 1.67, 95% confidence interval: 1.15-2.42). Short (<6 hours) and long (≥8 hours) duration of sleep were both associated with higher hazard of all-cause and chronic disease-related mortality (all p < .05).

Conclusions: Sleep plays a critical role in longevity in persons who inject drugs. Research is needed to determine whether interventions targeting sleep improve health and longevity in persons who inject drugs.

Objectives: Sleep is important for adolescent health. The unique needs of suprabinary youth (youth with gender identities outside of the gender binary), along with the growing number of youth with these identities, underscores the need to better understand sleep health within this population. The current study's objectives were to (1) examine differences in sleep health between suprabinary and binary youth and (2) explore how social support, peer victimization, and technology use accounted for these differences.

Methods: Data were drawn from the 2017/2018 Health Behavior in School Aged Children Survey. Adolescents (individuals ages 14 to 17, n = 10,186), indicated whether they were suprabinary (n = 182) or binary (n = 10,004), and completed measures of sleep health (difficulty falling asleep, difficulty staying awake, weekday and weekend sleep length), covariates (age, family affluence, race/ethnicity, depressive symptoms), as well as variables that may account for differences between suprabinary and binary youth (family, friend, and teacher support, as well as peer victimization, and technology use before bed).

Results: Suprabinary youth reported worse sleep health on all outcomes, and differences persisted for both difficulty falling asleep and weekday sleep hours accounting for covariates. Significant indirect effects between suprabinary status were observed across all sleep outcomes for family support and school climate. Indirect effects for sleep quality were also observed via peer victimization.

Conclusions: Findings support the relevance of looking at basic health processes like sleep to better understand how the stressors associated with suprabinary status impact health outcomes among this vulnerable population.

Objectives: We investigated intrafamilial sleep evolution by identifying children's sleep multitrajectory groups between 3- and 60-month of age and their association with parental sleep multitrajectory groups.

Methods: We included 180 children from the SEPAGES cohort (Grenoble, France) whose parents belonged to previously identified sleep multitrajectory groups, through group-based multitrajectory modeling, between 3 and 36months postpartum, using nighttime (NSD) and weekend daytime (DSD) sleep durations and subjective sleep loss, comprising "No," "Subjective," and "Global" sleep problems groups. Child sleep information (NSD, DSD, subjective sleep loss, night waking, and sleep onset difficulties) was collected by parental questionnaires at 3-, 12-, 36-, and 60-month. We identified sleep multitrajectory groups using group-based multitrajectory modeling in children and examined their associations with parental sleep multitrajectory groups using multinomial logistic regressions.

Results: We identified three sleep multitrajectory groups in children: the "No/few" group (29.4%) had moderate NSD, long DSD, low subjective sleep loss/night waking/sleep onset difficulties prevalence, the "Moderate" group (60.0%) had long NSD and moderate DSD, and medium subjective sleep loss/night waking/sleep onset difficulties prevalence, and the "Global" group (10.6%) had the shortest NSD and DSD, and the highest subjective sleep loss/night waking/sleep onset difficulties prevalence. After adjusting for covariates, mothers in the "Global" group were more likely to have children in the same group, and mothers in "Subjective" and "Global" groups were less likely to have children in the "Moderate" group than in the "No/few" group. No association was identified with paternal or couple sleep multitrajectory groups.

Conclusions: The observed associations between parent-child sleep multitrajectory groups suggest greater maternal sensitivity to or involvement in the child's sleep than the fathers. Early preventive sleep actions could improve sleep in children and mothers.

Objective: Sleep is a potential risk factor for metabolic syndrome. We investigated the associations of various sleep characteristics with the status and incidence of metabolic syndrome in middle-aged Koreans.

Methods: Using data from a community-based Korean Medicine Daejeon Citizen Cohort study on participants aged 30-50years, cross-sectional (n = 1984) and longitudinal (n = 1216, median follow-up: 2.1years) analyses were performed. To study the association of metabolic syndrome and five components with various sleep characteristics, measured using the Pittsburgh Sleep Quality Index, we used Poisson and logistic regression and Cox proportional hazard regression analyses, adjusting for covariates.

Results: Of 1984 participants, 66%, 19%, and 15% belonged to the non-metabolic syndrome, pre-metabolic syndrome, and metabolic syndrome groups, respectively. After covariate adjustments, the pre-metabolic syndrome group was associated with late mid-sleep time (≥5:00; prevalence ratios 1.61, 95% confidence interval 1.01-2.54) and late bedtime (≥2:00; prevalence ratios 1.55, 95% confidence interval 1.03-2.34), and the metabolic syndrome group was associated with long sleep latency (prevalence ratios 1.33, 95% confidence interval 1.03-1.73), poor sleep quality (prevalence ratios 1.38, 95% confidence interval 1.07-1.78), and early wake time (<6:00; prevalence ratios 1.29, 95% confidence interval 1.01-1.63). Longitudinal analysis of participants without metabolic syndrome at baseline indicated a significant increase in metabolic syndrome risk associated with very short sleep duration (<6 hours; hazard ratio 1.72, 95% confidence interval 1.06-2.79), long sleep latency (>30 minutes; hazard ratio 1.86, 95% confidence interval 1.1-3.12), and early wake time (<6:00 o'clock; hazard ratio 1.73, 95% confidence interval 1.01-2.97).

Conclusion: Sleep characteristics, such as short duration, long latency, and early wake time, were associated with an increased risk of metabolic syndrome in middle-aged adults.