Sleep duration and sleep loss during pregnancy: a longitudinal FinnBrain birth cohort study.

PURPOSE: To investigate sleep duration and sleep loss during antenatal period and assess associative factors, including maternal characteristic and mood symptoms. METHODS: A cohort of 3038 women was enrolled. Self-reported sleep duration and sleep loss, the latter being calculated from preferred sleep need and actual sleep duration, were measured in early, mid- and late pregnancy, and at delivery. The associations with age, BMI, parity, education, smoking, napping, and depressive and anxiety symptoms were evaluated. RESULTS: Sleep duration was longest in early pregnancy and shortest at delivery (7.93 h-7.76 h, p < 0.001). The proportion of short sleepers (< 6 h) increased from 1.4% to 5.9% throughout the studied period (p < 0.001). Mean sleep loss remained stable in early- and mid-pregnancy, lowering in late pregnancy (p < 0.001) and increasing again until delivery (p = 0.003). The number of women with notable sleep loss (> 2 h) was similar during the first three measurement points (9.4%, 8.9% and 9.5%), but increased until delivery (14.1%, p < 0.001). Older, multiparous, and more-depressive women slept less (p < 0.001, p < 0.001, p = 0.017). Women with higher BMI were more likely to sleep < 6 h in late pregnancy (p = 0.012). Multiparous, more-depressive, and higher-BMI women reported more sleep loss (p < 0.001, p < 0.001, p = 0.049). CONCLUSION: We confirmed earlier reported decrease in sleep duration at the end of pregnancy. As a novel finding, we showed a notable increase in sleep loss during the last month of pregnancy. Various factors were associated with both short sleep and sleep loss, especially multiparity, napping and depressive symptoms.

Sleep Health among Community-Recruited Opioid-Using People Who Inject Drugs in Los Angeles, CA and Denver, CO.

Chronic insufficient and poor-quality sleep are linked to hypertension, diabetes, depression, heart attack, and stroke. While studies on substance use and sleep typically focus on people in or entering treatment, there is a lack of research on sleep health among community-recruited people who inject drugs (PWID). To address this literature gap, we examined factors associated with insufficient and poor-quality sleep among community-recruited PWID. We recruited and interviewed 472 active opioid-using PWID (injected within the last 30 days) in Los Angeles, CA and Denver, CO between 2021 and 2022. Participants completed computer-assisted interviews covering demographics, subsistence measures, drug use patterns, injection-related behaviors, health risks, and sleep duration and quality in the last 3 months. Descriptive statistics were used to analyze all variables for subjects with complete responses to sleep items (n = 464). Bivariate analyses determined factors associated with sleep measures using chi-square and t-tests. Collinear variables were removed, and binomial linear multivariable regression calculated risk ratios (RR) for insufficient and poor-quality sleep in the last 3 months. Participants exhibited low sleep duration (mean = 4.99, standard deviation (SD) = 2.70), with 76% reporting insufficient sleep and 62% poor-quality sleep. Bivariate analyses associated both sleep measures with drug use, high subsistence scores, violent victimization, and poor health outcomes. Multivariable analyses showed a high subsistence score predicting insufficient (RR = 1.31) and poor-quality sleep (RR = 1.69) compared to low subsistence. Poor sleep health is common among structurally vulnerable community-recruited PWID, as measured by subsistence index associated with adverse sleep outcomes. Further research on structural interventions to address sleep and subsequent health outcomes among PWID is imperative.

Increased altitudes change sleep status among Chinese population.

Sleep is integral to human health. Accumulating evidence has revealed that sleep characteristics could be influenced by altitudes. However, few studies explored what the trajectories of sleep status are along with the altitudes. Therefore, this study aims to find the relationship between altitudes and sleep status using data from CHARLS, a nationwide survey data from China. The generalized additive model and generalized additive mixed-effects model were used to explore the association between sleep status and altitudes. Age, gender, education level, and other common confounding factors were included in the models as covariates. The sleep duration showed a rapid increase trend after the altitude of 1600 m. The probabilities of long sleep duration were increased with the evaluation of altitudes (edf = 1.945, P = 0.004), while the similar statistically significant change was not observed for short sleep duration (edf = 2.204, P = 0.193). Gender, residence, and ethnicity were the main influencing factors for the increase in sleep duration as altitude increased. The high-altitude environment could have effects on the sleep status of individuals, especially on the sleep duration. Long sleep duration was found more prevalent among highlanders. This study shed light on the underlying relationship between altitudes and sleep status which could provide clues for further mechanism studies. Supplementary Information: The online version contains supplementary material available at 10.1007/s41105-024-00527-y.

Association between sleep duration and the risk of hyperhomocysteinemia among adults in the United States: National Health and Nutrition Examination Survey, 2005-2006.

The study aimed to discuss the association between sleep duration and the risk of hyperhomocysteinemia (Hhcy). This cross-sectional study included 4173 adults (≥ 20 years) from the National Health and Nutrition Examination Survey 2005-2006. According to their sleep duration, participants were divided into five subgroups. Multivariate logistic regression analysis models and restrictive cubic spline regressions were used to explore the association between sleep duration and the risk of Hhcy. Compared with the participants who sleep 7 h, sleep deprivation (≤ 5 h) increased the risk of Hhcy, odds ratio (OR) 1.68 (95% confidence interval (CI) 1.06-2.68); Excessive sleep (≥ 9 h) also increased the risk of Hhcy, OR 1.86 (95% CI 1.09-3.14) after adjusting for a series of confounding factors in the entire population. The risk of Hhcy was distributed in a U-shape with sleep duration. Similar results were demonstrated in obese populations. The association between sleep duration and the risk of Hhcy is U-shaped. Both sleep deprivation and excessive sleep can increase the risk of Hhcy.

Influence of race and age in sleep duration and mortality relationship among adults in the United States: results from the 2004 NHIS-NDI record linkage study.

Limited information exists on age and racial disparities in sleep duration and mortality in the United States (US) population. This study compared the association between mortality and sleep duration within distinct races and age groups in the US. This study used data on 26,915 US citizens (≥ 18 years) from the 2004 wave of the National Health Interview Survey, linked to the National Death Index prospective mortality through 2019. Cox proportional hazard models were used to obtain hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality by sleep duration, race (Whites, Black/African Americans, and Others (AIAN, Asian, and Native Hawaiian or other Pacific Islander)), and age (< 40, 40-60, and ≥ 60 years), while controlling for covariates such as sex, education, smoking status, disease history, and other vital factors. Race and age significantly modified the sleep duration-mortality relationship. Compared to other races, White participants exhibited higher mortality risks at all hours except at 5-6 h [HR: 0.993, 95% CI: 0.923-1.069]. Likewise, sleep duration associated mortality risks varied by age. Those at greater risk included < 40 years sleeping for 1-4 h [HR: 2.461, 95% CI: 1.446-4.187], 40-< 60 years sleeping for less than 7 h and more than 8 h, and ≥ 60 years sleeping for 9 h [HR: 1.309, 95% CI: 1.162-1.475] and ≥ 10 h [HR: 1.662, 95% CI: 1.486-1.858]. Age and race were significant effect modifiers in the sleep duration-mortality relationship. Thus, it is important to consider these factors when evaluating mortality risks associated with sleep patterns. Supplementary Information: The online version contains supplementary material available at 10.1007/s41105-024-00536-x.

Bedsharing sleep characteristics in children with mild sleep-disordered breathing.

STUDY OBJECTIVES: Examine sleep patterns in children with sleep-disordered breathing (SDB) who habitually bedshare. METHODS: We evaluated associations of bedsharing with parent-reported (n=457) and actigraphy-based (n=258) sleep patterns in a diverse child sample (mean age 6.6±2.3 years, range 3.0-12.9) with mild SDB using baseline data from the Pediatric Adenotonsillectomy Trial for Snoring. Multivariable linear regressions examined associations between sleep patterns and bedsharing, adjusting for sociodemographic, child, and parent/environmental factors. Moderation effects were investigated using interaction terms. Analyses were stratified by age, categorizing children as younger (<6) and older (≥6) years. RESULTS: Bedsharing rates were 38%, with higher rates in younger (48%) vs. older (30%) children (p<0.001). In adjusted models, bedsharing was associated with about 30 minutes shorter actigraphy-derived nocturnal sleep duration (p=0.005) and parent-reported later sleep midpoint (p< 0.005) in younger children. In older children, associations of bedsharing with shorter parent-reported sleep duration were more pronounced in children with greater SDB symptom burden (p=0.02), and in children with higher ratings of anxiety (p=0.048) and depressive symptoms (p=0.02). CONCLUSIONS: In children with mild SDB, bedsharing is associated with shorter sleep duration and later sleep timing in younger children. In older children, these relationships were modified by child factors, including SDB symptom burden and internalizing symptoms. These findings suggest that whereas age and parenting factors may play a greater role in the younger group, SDB and internalizing symptoms may play more of a role in older children who bedshare, suggesting the need to address co-occurring medical and emotional problems in children with SDB. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Pediatric Adenotonsillectomy for Snoring (PATS); Identifier: NCT02562040.

Association between sleep duration and sleep quality with pre-sarcopenia in the 20-59-year-old population: evidence from the National Health and Nutrition Examination Surveys 2005-2014.

BACKGROUND: Sarcopenia is a musculoskeletal disease characterized by a significant reduction in muscle mass, strength, and performance. As it mostly affects older adults, it is often recognized as a disease of old age. However, sleep is also closely related to its development. Hence, it becomes critical to explore the relationship between sleep and sarcopenia in populations under 60 years of age to develop strategies for preventing sarcopenia. We here aim to explore the specific association between sleep duration and sleep quality with pre-sarcopenia in the non-elderly population using large population samples. METHODS: This study involved 7,187 participants aged 20-59 years from the National Health and Nutrition Examination Survey (NHANES) conducted between 2005 and 2014. Pre-sarcopenia is defined based on the appendicular skeletal muscle mass (ASM) adjusted for body mass index (BMI). Self-reported sleep duration was categorized into three groups: <6 h (short sleep), 6-8 h (normal sleep), and > 8 h (long sleep). Sleep quality was assessed based on the Sleep Disorder and Trouble Sleeping Questionnaire. Univariate analysis and multivariate logistic regression were used to examine the relationship between sleep duration and sleep quality with pre-sarcopenia. RESULTS: Sleep quality was significantly linked with the risk of pre-sarcopenia (OR 1.72, 95% CI 1.36-2.18, P < 0.01). Longer or shorter sleep duration did not affect the risk of pre-sarcopenia, in contrast to normal sleep duration. Subgroup analysis demonstrated a more pronounced association in individuals who are > 40 years old (P < 0.01), non-Hispanic (P ≤ 0.01), overweight (P < 0.01), have a higher income (P < 0.01), and are more educated (P ≤ 0.01). Moreover, this association was noted in populations with or without smoking (P < 0.01) and alcohol consumption (P < 0.01), hypertension (P < 0.01) and diabetes (P ≤ 0.02). CONCLUSION: Sleep quality is associated with an increased risk of pre-sarcopenia, while sleep duration is not in the population aged 20-59 years. Further prospective cohort studies with a large sample size are needed to determine causality and develop effective interventions for preventing sarcopenia in the population aged 20-59 years.

Sleep pattern, genetic risk, and the risk of incident rheumatoid arthritis: A cohort study.

OBJECTIVE: To investigate the associations of sleep behaviors with the risk of rheumatoid arthritis, and whether the associations differ among individuals with low, intermediate, or high genetic risk. METHODS: We included participants who were free of rheumatoid arthritis at baseline based the UK Biobank. We evaluated the associations of five sleep behaviors with the risk of rheumatoid arthritis using Cox proportional hazard regression models. We then generated a sleep risk score which combined five sleep behaviors and assessed its association with the risk of rheumatoid arthritis. We finally generated a genetic risk score and examined the joint effects of sleep patterns and genetic susceptibility on the risk of rheumatoid arthritis. RESULTS: Of the 375,133 participants at baseline, 4913 incident rheumatoid arthritis cases were identified over a median follow-up of 11.73years. We found that insomnia and daytime sleepiness were associated with a 33% and a 38% increased risk of rheumatoid arthritis. A U-shaped association was observed between sleep duration and the risk of rheumatoid arthritis, with a 29% higher risk for those with short sleep and a 30% higher risk for those with long sleep. Participants with unfavorable sleep patterns had a 63% increased risk of rheumatoid arthritis compared with those with favorable sleep patterns. Participants with unfavorable sleep patterns and high genetic risk showed the highest risk of rheumatoid arthritis although no statistically significant multiplicative or additive interaction was found. CONCLUSIONS: Our study suggested that insomnia, daytime sleepiness, and short or long sleep duration, as well as sleep risk score were associated with an increased risk of rheumatoid arthritis.

Protocol for a personalized (N-of-1) trial for testing the effects of a mind-body intervention on sleep duration in middle-aged women working in health care.

Background: Adequate sleep plays a crucial role in maintaining physical, mental, and emotional health. On average, adults require 7-9 h of sleep per night. However, less than two-thirds of women meet this recommendation. During the coronavirus disease 2019 (COVID-19) pandemic, poor sleep quality and moderate-to-severe stress were highly prevalent among healthcare workers (HCWs), especially women. While some interventions have been proposed to address stress/burnout in HCWs, few have focused specifically on women in healthcare. Therefore, this is a protocol for a study that aims to determine the efficacy of a mind-body intervention (MBI) to improve sleep duration among women HCWs aged 40-60 years using the personalized (N-of-1) trial design. Methods: A personalized (N-of-1) trials model will be employed to evaluate the efficacy of an MBI to improve sleep duration (primary endpoint) and explore its effects on sleep quality, physiological factors, and their relationships with participants' perceived stress, anxiety, and depression. The series of personalized trials (n = 60) will be conducted over 16 weeks. The MBI will include mindfulness, yoga, and guided walking, delivered in two 2-week block sequences for 12 weeks, with two 2-week periods for baseline and follow-up. Participants will watch 30-min videos three times weekly and wear an activity tracker to monitor sleep and activity. They will receive daily text messages with questions about sleep quality and bi-weekly questionnaires about their stress, anxiety and depression scores, fatigue, concentration, confidence, mood, and pain levels. Conclusion: Results from this study will inform the development of N-of-1 methodology for addressing the health and wellness needs of middle-aged women.

Duration of N1 sleep is a factor for excessive daytime sleepiness in epilepsy patients with interictal epileptiform discharges: A polysomnographic study.

Purpose: This study aimed to identify the occurrence of excessive daytime sleepiness (EDS) in epilepsy patients with interictal epileptiform discharges and to explore the impact of interictal sleep architecture and sleep-related events on EDS. Methods: This study included 101 epilepsy patients with interictal epileptiform discharges (IED) and 100 control patients who underwent simultaneous polysomnography and video ambulatory electroencephalography for >7 h throughout a single night. Multiple sleep latency tests were used to assess EDS. Comorbid EDS was present in 25 and 11 patients in the IED epilepsy and control groups, respectively. In addition, univariate and multivariate logistic regression analyses were performed to explore the factors influencing EDS. Results: The epilepsy group had a higher prevalence of comorbid EDS and shorter R sleep duration. Univariate logistic regression analysis indicated that an increased risk of EDS may be associated with prolonged N1 sleep duration, higher arousal index, lower mean saturation (mSaO2), higher oxygen desaturation index (ODI), and duration of wake after sleep onset (WASO). Multivariate logistic regression analysis revealed that N1 sleep duration was significantly correlated with EDS. Conclusion: In epilepsy patients with IED, the arousal index, mSaO2, ODI, and duration of WASO were weakly correlated with EDS, and the duration of N1 sleep demonstrated a significant positive correlation with EDS, which requires further research.

Gender Difference of the Association Between Sleep Duration and Myopia Among Children and Adolescents.

Purpose: With girls typically exhibiting higher rates of myopia than boys, however, the mechanisms behind this gender difference remain unclear. This study aims to investigate the gender disparities in the relationship between myopia, sleep duration, physical activity, and BMI. Patients and Methods: A total of 3138 primary and secondary school students were included. Mplus 8.3 was used to perform the multiple mediation analysis. Results: Sleep duration was indicated to directly affect myopia (ß=0.273, 95% CI=0.184-0.356) and through physical activity, BMI, physical activity and BMI three significantly mediation pathways, respectively. In terms of gender, the mediating direct effect of sleep duration on myopia of boys was 66.96%, which is much higher than that of girls' 50.91%. And the mediating indirect effect of sleep duration on myopia through physical activity and BMI are 32.65% and 12.10% respectively among girls, both of which are significantly higher than that of boys. Conclusion: The study found that there are significant differences in the impact of sleep duration on myopia in children and adolescents of different genders. In this regard, while paying attention to the sleep duration of children and adolescents, special attention should also be paid to the indirect impact of girls' physical activity and BMI on myopia, and targeted measures should be formulated according to children of different genders to effectively protect the eye health of children and adolescents.

Sleep health among youth outside of the gender binary: Findings from a national Canadian sample.

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.

Association of baseline sleep duration and sleep quality with seizure recurrence in newly treated patients with epilepsy.

OBJECTIVE: Although sleep duration and sleep quality are considered to be significant factors associated with epilepsy and seizure risk, findings are inconsistent, and their joint association remains uncertain. This study aimed to determine independent and joint associations of these two modifiable sleep features with seizure recurrence risk in newly treated patients with epilepsy (PWE). METHODS: This is a prospective cohort study of newly treated PWE at a comprehensive epilepsy center in northeast China between June 2020 and December 2023. Self-reported sleep duration and sleep quality were collected at baseline. All patients were followed for 12 months for recurrent seizures. Cox proportional hazard regression models were used to estimate the hazard ratios (HRs) of seizure recurrence. Models fitted with restricted cubic spline were conducted to test for linear and nonlinear shapes of each association. RESULTS: A total of 209 patients were included, and 103 experienced seizure recurrence during follow-up. Baseline short sleep was significantly associated with greater risk of seizure recurrence (adjusted HR = 2.282, 95% confidence interval [CI] = 1.436-3.628, p < .001). Sleep duration (h/day) and recurrent seizure risk showed a significant nonlinear U-shaped association, with a nadir at 8 h/day. Baseline poor sleep quality was significantly associated with greater risk of seizure recurrence (adjusted HR = 1.985, 95% CI = 1.321-2.984, p < .001). Pittsburgh Sleep Quality Index score and seizure recurrence risk exhibited a positive linear association. Participants with a combination of poor quality-short sleep showed the highest risk of seizure recurrence (adjusted HR = 3.13, 95% CI = 1.779-5.507, p < .001) compared to the referent good quality-intermediate sleep group. SIGNIFICANCE: Baseline sleep duration and sleep quality were independently and jointly associated with risk of seizure recurrence in newly treated PWE. Our results point to an important potential role of baseline sleep duration and sleep quality in shaping seizure risk.

Sleep duration mediates the association between heavy metals and the prevalence of depression: an integrated approach from the NHANES (2005-2020).

Purpose: This study investigates the association between heavy metal exposure and the prevalence of depression, with the mediating role of sleep duration. Method: Our study investigated the association between heavy metal concentration and depression risk in the NHANES from 2005 to 2020. We used logistic regression analysis, WQS regression model and BKMR model to assess the association. Mediation analysis was performed to explore the role of sleep duration in heavy metal exposure-induced depression. Result: Of the 10,825 individuals included in this study, 705 (6.85%) were diagnosed with depression. We found a positive association between the cadmium (Cd), cobalt (Co), lead (Pb), antimony (Sb), wolfram (W) concentration and the prevalence of depression. Moreover, heavy metals mixtures were positively correlated with the prevalence of depression, with Cd identified as the main contributor in the WQS regression model (0.4654). Furthermore, sleep duration mediated the association between Cd, molybdenum (Mo), Pb, Sb, W exposure and prevalence of depression, explaining 3.12%, 15.84%, 18.24%, 9.56%, 3.68% of the effect. Conclusion: The findings affirm that heavy metal exposure is linked to higher depression incidence and that this relationship is partly mediated by sleep duration alterations. The study underscores the importance of environmental health monitoring and interventions aimed at reducing heavy metal exposure to mitigate its psychological impacts.

Cardiovascular Implications of Sleep Disorders Beyond Sleep Apnea.

Purpose of Review: Sleep is crucial for human health and life. There is still limited attention to the association between sleep disorders beyond sleep apnea and cardiovascular (CV) health. We investigated the current evidence between non-respiratory sleep disorders and CV health. Recent Findings: Current evidence suggests an important association between sleep duration, circadian rhythm, insomnia, disorders of hypersomnolence and CV health. Sleep-related movement disorders exhibit a moderate association with CV health. Further research is needed to explore the effects of each sleep disorder on CV health. Summary: Given the close association between non-respiratory sleep disorders and CV health, it is crucial to recognize and address sleep disorders in patients with a high CV risk.

Obstructive sleep apnea comorbid with insomnia symptoms and objective short sleep duration is associated with clinical and preclinical cardiometabolic risk factors: Clinical implications.

BACKGROUND: Insomnia with objective short sleep duration (ISSD) but not insomnia with normal sleep duration (INSD) is associated with cardiometabolic morbidity. It has been reported that sleep apnea comorbid with insomnia (COMISA) confers higher cardiovascular risk than each condition alone. We hypothesize that the association of COMISA with clinical (hypertension) and preclinical (inflammatory and metabolic) biomarkers is driven by the ISSD phenotype. METHODS: A clinical sample of 101 adults with mild-to-moderate OSA (mmOSA) (5 ≤ AHI <30) and insomnia symptoms underwent polysomnography or home sleep apnea testing, blood pressure measures (BP), fasting blood glucose, insulin, CRP and IL-6 plasma levels. Insomnia was based on PSQI. Objective short sleep duration was based on the median total sleep time of the sample. Participants were classified into 2 groups based on objective sleep duration: mmOSA with ISSD vs. mmOSA with INSD. Analysis of covariance and logistic regression analysis were conducted controlling for confounders. RESULTS: Systolic and diastolic BP were elevated in the ISSD group compared to INSD group (p = 0.039 and p = 0.004, respectively). Also, the risk of hypertension was significantly higher in the ISSD (OR = 3.88, 95%CI = 1.26-11.95, p < 0.05) compared to INSD group. Plasma IL-6 concentrations and insulin resistance as indexed by glucose/insulin ratio were significantly higher in the ISSD group compared to INSD group (both p < 0.05). CRP levels were not different between the two groups. CONCLUSION: It appears that the additive adverse effects of COMISA on cardiometabolic risks are driven by the ISSD phenotype, a finding with potential implications for further phenotyping COMISA.

Association of inadequate sleep with mortality among persons who inject drugs.

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.

Association of sleep patterns and disorders with metabolic dysfunction-associated steatotic liver disease and liver fibrosis in contemporary American adults.

INTRODUCTION AND OBJECTIVES: The impact of sleep on metabolic dysfunction-associated steatotic liver disease (MASLD) in American adults remains unclear. This study aimed to address the relationship of sleep patterns and disorders with MASLD and liver fibrosis comprehensively. MATERIALS AND METHODS: This cross-sectional study included adult participants from the National Health and Nutrition Examination Survey 2017-2020. Multivariate adjusted regression analysis were used to examine the association of sleep with MASLD and liver fibrosis. We further addressed these associations using restricted cubic splines, mediation analysis, stratified analysis and multiple sensitivity analysis. RESULTS: We enrolled 5368 participants. Certain sleep disorders, sleep duration, high sleep debt and specific sleep-wake time were associated with MASLD. Late workday sleep was a shared risk factor for MASLD and liver fibrosis. Short sleep on workdays and free days favored MASLD, whereas average weekly long sleep protected against MASLD. Workday, free day and average weekly optimal sleep duration was 7.5 h, 8 h and 7.78 h, respectively. Mediation analysis suggested that fasting glucose and high-density lipoprotein cholesterol indirectly mediated the relationship between sleep duration and MASLD, whereas stratified analysis showed that sex influenced the relationship, and that the correlation was only observed in women and specific age groups. CONCLUSIONS: Sleep duration independently affected MASLD but only in women and specific age groups. Moreover, late sleep on workdays was a shared risk factor for MASLD and liver fibrosis. These results suggest targeting sleep behaviors for MASLD prevention and developing age- and sex-specific strategies.

Association between sleep traits and risk of colorectal cancer: a bidirectional Mendelian randomization study.

Background: Sleep traits have been linked to diseases; particularly, their impact on cancer has received increasing attention. This study aimed to investigate whether sleep traits have a causal relationship with colorectal cancer (CRC) using two-sample Mendelian randomization (TSMR). Methods: Genetic instrumental variables (IVs) for seven sleep traits (sleep duration, ease of getting up in the morning, morning chronotype, daytime napping, insomnia symptoms, snoring, and daytime dozing) were selected from pooled data from published genome-wide association studies (GSWSs). Two-sample multivariate Mendelian randomization (MR) analyses were conducted to assess the causal association between sleep traits and CRC. Reverse MR analyses were performed to determine the causal relationship between CRC and sleep traits. Inverse variance weighted (IVW), MR-Egger, and weighted medians were calculated for all MR analyses. Results: The multivariable MR (MVMR) analysis found that appropriate sleep duration [odds ratio (OR) =0.989; 95% confidence interval (CI): 0.980, 0.999; P=0.04] and ease of getting up in the morning (OR =0.990; 95% CI: 0.980, 1.000; P=0.04) were protective factors for CRC. Snoring (OR =1.021; 95% CI: 1.002, 1.041; P=0.03) was associated with the risk of CRC. Ease of getting up in the morning (OR =0.990; 95% CI: 0.983, 0.997; P=0.003) was associated with reduced risk of colon cancer. Morning chronotype (OR =1.004; 95% CI: 1.000, 1.007; P=0.04) was associated with the risk of colon cancer. Insomnia symptoms (OR =0.995; 95% CI: 0.990, 0.999; P=0.03) were a protective factor for rectal cancer. There was no evidence found for a causal association between other sleep traits and CRC, colon, or rectal cancer. Conclusions: Proper sleep duration and ease of getting up in the morning may be protective factors against CRC, and snoring may increase the risk of CRC.

Navigating the skies: a cross-sectional study of depression among Saudi Arabian airline pilots.

BACKGROUND: Depression poses a significant challenge globally, including in safety-critical industries such as aviation. In Saudi Arabia, where the aviation sector is rapidly expanding, pilots encounter unique stressors inherent to their profession. However, research on pilot mental health, particularly within the Saudi context, remains limited despite its critical role in flight safety. METHODS: This cross-sectional survey was designed to estimate the self-reported prevalence of depression in a convenience sample of airline pilots in Saudi Arabia. Participants were recruited from various commercial airlines in Saudi Arabia. Recruitment efforts utilized targeted outreach on social media platforms, focusing on pilot forums and groups. The survey was administered online for accessibility and convenience. The structured questionnaire, developed through a literature review and expert consultation, comprises sections on demographic and professional characteristics, occupational information, health habits, and depression assessment via the Patient Health Questionnaire-9 (PHQ-9). RESULTS: This study enrolled 310 participants, with the largest cohort (34.8%, n = 108) falling within the 30-39 years age group, closely followed by individuals under 30 years (30.0%, n = 93). Males dominated the sex distribution (99.0%, n = 307). The mean PHQ-9 score was 8.2 ± 5.4. Notably, 40.6% (n = 126) of the participants had a score of 10 or higher, indicating the potential for moderate, moderate-severe, or severe depression. Multivariable binary logistic regression analysis revealed that pilots with 11-15 years of experience had greater odds of experiencing depression than did those with 0-10 years of experience did (odds ratio [OR]: 3.0, 95% confidence interval [CI]: [1.1-8.4], p = 0.04). Pilots with rest times exceeding 24 h had lower odds of depression than did those with rest times less than 1 h (OR: 0.3, 95% CI: [0.1-0.8], p = 0.02). Engaging in regular exercise was associated with reduced odds of depression (OR: 0.3, 95% CI: [0.2-0.5], p < 0.01), as was longer sleep duration (> 8 h) (OR: 0.2, 95% CI: [0.1-1.0], p = 0.04). CONCLUSION: Our study estimates the prevalence and severity of self-reported depressive symptoms among airline pilots in Saudi Arabia, surpassing global estimates. The identified factors, including lack of regular exercise, short sleep duration, and insufficient rest between flights, underscore the complex mental health challenges faced by pilots in this region. Addressing these issues is crucial not only for pilot well-being but also for flight safety.