Variability in Sleep Duration and Biomarkers of Cardiovascular Disease Across the Menstrual Cycle.

Variability in sleep duration and cardiovascular health have been infrequently investigated, particularly among reproductive-age women. We examined these associations across the menstrual cycle among a cohort of 250 healthy premenopausal women, aged 18-44 years. The BioCycle study (New York, 2005-2007) collected cardiovascular biomarkers (serum high- and low-density lipoprotein (HDL, LDL), total cholesterol, triglycerides, and C-reactive protein (CRP)) at key time points along the menstrual cycle (follicular, ovulatory, and luteal phases). Women also recorded sleep duration in daily diaries. From these data, we computed L-moments, robust versions of location, dispersion, skewness, and kurtosis. We fitted linear mixed models with random intercepts and inverse probability weighting to estimate associations between sleep variability and cardiovascular biomarkers, accounting for demographic, lifestyle, health, and reproductive factors. Sleep dispersion (any deviation from mean duration) was associated with lower mean LDL for nonshift workers and non-White women. Skewed sleep duration was associated with higher mean CRP and lower mean total cholesterol. Sleep durations with extreme short and long bouts (kurtosis) were associated with a lower mean HDL, but not mean CRP, LDL, or triglycerides. Sleep duration modified associations between sleep dispersion and LDL, HDL, and total cholesterol. Even in young and healthy women, sleep duration variability could influence cardiovascular health.

Pathways between multiple sclerosis, sleep disorders, and cognitive function: Longitudinal findings from The Nurses' Health Study.

BACKGROUND: The potential mediating and moderating effects of sleep disorders on cognitive outcomes in multiple sclerosis (MS) have been insufficiently studied. OBJECTIVES: To determine direct and indirect longitudinal associations between sleep disorders and perceived cognitive dysfunction in women with MS. METHODS: The 2013 and 2017 waves of the Nurses' Health Study (n = 63,866) were utilized. All diagnoses and symptoms including MS (n = 524) were self-reported. Subjective cognitive function was measured using a composite score of four memory items and three binary outcomes that assessed difficulty following instructions, conversations/plots, and street navigation. Moderating and mediating effects of diagnosed/suspected obstructive sleep apnea (OSA), sleepiness, and insomnia between MS and cognition were estimated using the four-way decomposition method. RESULTS: Prevalence of diagnosed/suspected OSA, sleepiness, and insomnia in 2013 were higher for nurses with MS (NwMS). NwMS were more likely to report cognitive difficulties in 2017. Insomnia mediated 5.4%-15.1% of the total effect between MS and following instructions, conversations/plots, and memory impairment, while sleepiness mediated 8.6%-12.3% of the total effect for these outcomes. In interaction analyses, OSA significantly accounted for 34% of the total effect between MS and following instructions. CONCLUSION: Prevalent OSA, insomnia, and sleepiness could differentially moderate or mediate the effect of MS on cognition in women with MS.

Validation of an obstructive sleep apnea symptom inventory in persons with multiple sclerosis.

BACKGROUND: Improved screening for obstructive sleep apnea (OSA) could enhance multiple sclerosis (MS) clinical care; yet the utility of current screening tools for OSA have yet to be evaluated in persons with multiple sclerosis (PwMS). OBJECTIVES: The STOP-Bang Questionnnaire is an 8-item screening tool for OSA that is commonly used in non-MS samples. The aim of this study was to assess the validity of the STOP-Bang in PwMS. METHODS: STOP-Bang and polysomnography data were analyzed from n = 200 PwMS. Sensitivity, specificity, positive-, and negative-predictive value (PPV and NPV) were calculated, with receiving operating characteristic (ROC) curves, for each STOP-Bang threshold score, against polysomnography-confirmed OSA diagnosis at three apnea severity thresholds (mild, moderate, and severe). RESULTS: Nearly 70% had a STOP-Bang score of ⩾3% and 78% had OSA. The STOP-Bang at a threshold score of 3 provided sensitivities of 87% and 91% to detect moderate and severe OSA, respectively; and NPV of 84% and 95% to identify PwMS without moderate or severe OSA, respectively. Sensitivity to detect milder forms of OSA was 76%. The NPV to identify persons without milder forms of OSA was 40%. CONCLUSION: The STOP-Bang Questionnaire is an effective tool to screen for moderate and severe OSA in PwMS, but may be insufficient to exclude mild OSA.

Parallel Assessment Challenges in Nutritional and Sleep Epidemiology.

Sleep has been consistently linked to health outcomes in clinical studies, but only in recent years has sleep become a focus in epidemiologic studies and public health. In particular, the sizable prevalence of insufficient sleep in the population warrants well-designed epidemiologic studies to examine its impact on public health. As a developing field, sleep epidemiology encounters methodological challenges similar to those faced by nutritional epidemiology research. In this article, we describe a few central challenges related to assessment of sleep duration in population-based studies in comparison with measurement challenges in nutritional epidemiology. In addition, we highlight 3 strategies applied in nutritional epidemiology to address measurement challenges and suggest ways these strategies could be implemented in large-scale sleep investigations.

Associations between bedtime eating or drinking, sleep duration and wake after sleep onset: findings from the American time use survey.

Sleep hygiene recommendations discourage eating before bedtime; however, the impact of mealtime on sleep has been inconsistent. We examined gender-stratified associations between eating or drinking <1, <2 and <3 h before bedtime, sleep duration and wake after sleep onset (WASO >30 min). This study utilised 2003-2018 data from the American Time Use Survey, a nationally representative sample of USA residents aged ≥15 years. Participants recorded weekday/weekend activities during a 24-h period. Age-specific sleep duration and WASO were estimated categorically and continuously. Eating or drinking were identified from all activities recorded <1, <2 and <3 h before bedtime. Mean ± se sleep duration was 8·0 ± 0·006 h, and 6% of participants ate or drank <1 h prior to weekdays bedtime. Overall, eating or drinking <1 h prior to bedtime was associated with longer weekdays sleep duration. Women and men who ate or drank <1 h before bedtime, v. those who did not, had 35 min (95% CI (30,39)) and 25 min (95 % CI (21,29)) longer sleep duration, respectively, as well as increased odds of WASO; women (OR=2·03, 95% CI (1·66,2·49)) and men (OR=2·64, 95% CI (2·08,3·36)). As the interval of eating or drinking prior to bedtime expanded, odds of short and long sleep durations and WASO decreased. This population-based data linked eating or drinking <1 h before bedtime to longer sleep duration, but increased WASO. Eating or drinking further from bedtime lowers the odds of short and long sleep duration and WASO. Causal pathways are difficult to discern, though inefficient sleep after late-night eating could increase WASO and trigger compensatory increases in sleep duration.

Objective sleep duration and timing predicts completion of in vitro fertilization cycle.

PURPOSE: To examine associations between objectively measured sleep duration and sleep timing with odds of completion of an in vitro fertilization (IVF) cycle. METHODS: This prospective cohort study enrolled 48 women undergoing IVF at a large tertiary medical center between 2015 and 2017. Sleep was assessed by wrist-worn actigraphy, 1-2 weeks prior to initiation of the IVF cycle. Reproductive and IVF cycle data and demographic and health information were obtained from medical charts. Sleep duration, midpoint, and bedtime were examined in relation to IVF cycle completion using logistic regression models, adjusted for age and anti-Müllerian hormone levels. A sub-analysis excluded women who worked non-day shifts to control for circadian misalignment. RESULTS: The median age of all participants was 33 years, with 29% of women >35 years. Ten women had an IVF cycle cancelation prior to embryo transfer. These women had shorter sleep duration, more nocturnal awakenings, lower sleep efficiency, and later sleep timing relative to those who completed their cycle. Longer sleep duration was associated with lower odds of uncompleted IVF cycle (OR = 0.88; 95%CI 0.78, 1.00, per 20-min increment of increased sleep duration). Women with later sleep midpoint and later bedtime had higher odds of uncompleted cycle relative to those with earlier midpoint and earlier bedtime; OR = 1.24; 95%CI 1.09, 1.40 and OR = 1.33; 95%CI 1.17, 1.53 respectively, for 20-min increments. These results were independent of age, anti-Müllerian hormone levels, or sleep duration, and remained significant after exclusion of shift-working women. CONCLUSIONS: Shorter sleep duration and later sleep timing increase the odds of uncompleted cycles prior to embryo transfer.

Multiple sclerosis relapse risk in the postoperative period: Effects of invasive surgery and anesthesia.

BACKGROUND: Postoperative multiple sclerosis (MS) relapses are a concern among patients and providers. OBJECTIVE: To determine whether MS relapse risk is higher postoperatively. METHODS: Data were extracted from medical records of MS patients undergoing surgery at a tertiary center (2000-2016). Conditional logistic regression estimated within-patient unadjusted and age-adjusted odds of postoperative versus preoperative relapse. RESULTS: Among 281 patients and 609 surgeries, 12 postoperative relapses were identified. The odds of postoperative versus preoperative relapse in unadjusted (odds ratio (OR) = 0.56, 95% confidence interval (CI) = 0.18-1.79; p = 0.33) or age-adjusted models (OR = 0.66, 95% CI = 0.20-2.16; p = 0.49) were not increased. CONCLUSIONS: Surgery/anesthesia exposure did not increase postoperative relapse risk. These findings require confirmation in larger studies.

Adiposity in Adolescents: The Interplay of Sleep Duration and Sleep Variability.

OBJECTIVE: To assess whether adiposity measures differed according to joint categories of sleep duration and sleep variability in a sample of Mexican adolescents. STUDY DESIGN: A sample of 528 Mexico City adolescents aged 9-17 years wore wrist actigraphs for 6-7 days. Average sleep duration was categorized as age-specific sufficient or insufficient. Sleep variability, the standard deviation of sleep duration, was split at the median into stable versus variable. Adiposity measures-body mass index (BMI)-for-age Z score (BMIz), triceps skinfolds, waist circumference, and percent body fat-were collected by trained assistants. We regressed adiposity measures on combined sleep duration and variability categories. Log binomial models were used to estimate prevalence ratios and 95% CI for obesity (>2 BMIz) by joint categories of sleep duration and variability, adjusting for sex, age, and maternal education. RESULTS: Approximately 40% of the adolescents had insufficient sleep and 13% were obese. Relative to sufficient-stable sleepers, adolescents with insufficient-stable sleep had higher adiposity across all 4 measures (eg, adjusted difference in BMIz was 0.68; 95% CI, 0.35-1.00) and higher obesity prevalence (prevalence ratio, 2.54; 95% CI, 1.36-4.75). Insufficient-variable sleepers had slightly higher BMIz than sufficient-stable sleepers (adjusted difference, 0.30; 95% CI, 0.00-0.59). CONCLUSIONS: Adolescents with consistently insufficient sleep could be at greater risk for obesity. The finding that insufficient-variable sleepers had only slightly higher adiposity suggests that opportunities for "catch-up" sleep may be protective.

Associations of snoring frequency and intensity in pregnancy with time-to-delivery.

BACKGROUND: Sleep-disordered breathing (SDB) is linked to adverse pregnancy outcomes. However, little is known about the association of SDB with timing of delivery. We examined the association of snoring frequency, a key SDB marker, and snoring intensity, a correlate of SDB severity, with time-to-delivery among a cohort of pregnant women. METHODS: In this prospective cohort study, 1483 third trimester pregnant women were recruited from the University of Michigan prenatal clinics. Women completed a questionnaire about their sleep, and demographic and pregnancy information was abstracted from medical charts. After exclusion of those with hypertension or diabetes, 954 women were classified into two groups by their snoring onset timing, chronic or pregnancy-onset. Within each of these groups, women were divided into four groups based on their snoring frequency and intensity: non-snorers; infrequent-quiet; frequent-quiet; or frequent-loud snorers. Cox proportional hazard regression models were used to investigate the association between snoring frequency and intensity and time-to-delivery, adjusting for maternal characteristics. RESULTS: Chronic snoring was reported by half of the pregnant women, and of those, 7% were frequent-loud snorers. Deliveries before 38 weeks' gestation are completed occurred among 25% of women with chronic, frequent-loud snoring. Compared with pre-pregnancy non-snorers, women with chronic frequent-loud snoring had an increased hazard ratio for delivery (adjusted hazard ratio 1.60, 95% confidence interval 1.04, 2.45). CONCLUSIONS: Snoring frequency and intensity is associated with time-to-delivery in women absent of hypertension or diabetes. Frequent-loud snoring may have a clinical utility to identify otherwise low-risk women who are likely to deliver earlier.

Assisted reproduction and risk of preterm birth in singletons by infertility diagnoses and treatment modalities: a population-based study.

PURPOSE: The purpose of this study is to examine the spectrum of infertility diagnoses and assisted reproductive technology (ART) treatments in relation to risk of preterm birth (PTB) in singletons. METHODS: Population-based assisted reproductive technology surveillance data for 2000-2010 were linked with birth certificates from three states: Florida, Massachusetts, and Michigan, resulting in a sample of 4,370,361 non-ART and 28,430 ART-related singletons. Logistic regression models with robust variance estimators were used to compare PTB risk among singletons conceived with and without ART, the former grouped by parental infertility diagnoses and treatment modalities. Demographic and pregnancy factors were included in adjusted analyses. RESULTS: ART was associated with increased PTB risk across all infertility diagnosis groups and treatment types: for conventional ART, adjusted relative risks ranged from 1.4 (95% CI 1.0, 1.9) for male infertility to 2.4 (95% CI 1.8, 3.3) for tubal ligation. Adding intra-cytoplasmic sperm injection and/or assisted hatching to conventional ART treatment did not alter associated PTB risks. Singletons conceived by mothers without infertility diagnosis and with donor semen had an increased PTB risk relative to non-ART singletons. CONCLUSIONS: PTB risk among ART singletons is increased within each treatment type and all underlying infertility diagnosis, including male infertility. Preterm birth in ART singletons may be attributed to parental infertility, ART treatments, or their combination.

Addressing sleep deserts: A proposed call for action.

Sleep deserts are a major cause of health inequity. They occur primarily in disadvantaged neighborhoods because of structural racism, social and environmental factors, and dearth of medical services. We describe several strategies that can serve as a feasible action plan to target structural racism, environmental pollution, and impact of climate change. We also suggest ways healthcare providers in these underserved areas can incorporate sleep medicine into their practice. Lastly, we highlight strategies to increase community awareness of sleep health in a culturally sensitive manner. There are several ways, from a policy level to healthcare that we can begin to eliminate sleep deserts, which is urgently needed.

Sleep health inequities in vulnerable populations: Beyond sleep deserts.

Despite the importance of sleep to overall health and well-being, there is a high prevalence of undiagnosed sleep disorders and adverse sleep health, particularly among vulnerable populations. Such vulnerable populations include people experiencing homelessness (PEH), refugees, and incarcerated individuals. In this narrative review, we provide an overview of the literature on sleep health and disorders among key and vulnerable populations (e.g., PEH, refugees, and incarcerated individuals). The limited research among these populations indicated a high prevalence of sleep disorders, mainly insomnia, short sleep duration, and fatigue. Substance abuse and PTSD were commonly found among PEH and refugee populations, respectively, which were was related to poor sleep. Similar across the included vulnerable populations, the individuals reside in environments/facilities with inopportune light exposure, noise disruption, inadequate bedding, and forced sleep schedules. Studies also found a high prevalence of psychosocial stress and reports of threats to safety, which were associated with poor sleep health outcomes. Additionally, several studies reported environmental barriers to adherence to sleep disorder treatment. This paper highlighted the conditions in which these vulnerable populations reside, which may inform interventions within these various facilities (homeless shelters, refugee camps, prisons/jails). The improvement of these facilities with a sleep equity focus may in turn improve quality of life and daily functioning.

Delayed Sleep Midpoint Across Pregnancy Is Associated with Excessive Gestational Weight Gain.

Background: Changes in sleep patterns and body weight occur during pregnancy, yet it is unclear whether sleep patterns are related to gestational weight gain (GWG). This study examined the relationship between maternal sleep across pregnancy and excessive GWG. Methods: Participants from the Michigan Archive for Research on Child Health (MARCH) cohort study, who had singleton births and provided information on fall-asleep and wake-up times during early (first or second) and the third trimesters, were included (n = 372). Changes in sleep duration and sleep midpoints throughout pregnancy were calculated. Prepregnancy weight and the last maternal weight before delivery were used to calculate GWG, which was categorized into groups (inadequate, adequate, and excessive). Poisson regression models were used to examine associations between sleep changes and excessive GWG, adjusted for age, race, gestational age, prepregnancy body mass index, income, fetus gender, physical activity, added sugar, and fruit and vegetable intake. Results: Excessive GWG was observed in 46.5% of women, and was more common among those with prepregnancy obesity (p < 0.001). Women who delayed sleep midpoint by 1 hour (or more) from the early trimester assessment to the third trimester experienced higher risk of excessive GWG (Risk ratio: 1.3; 95% confidence interval: 1.1-1.7). Single time points of sleep duration and sleep midpoint or changes in sleep duration were not related to GWG. Conclusions: Delay in sleep midpoint from early-mid pregnancy to the third trimester was associated with excessive GWG. Health professionals should consider changes in sleep patterns during pregnancy to identify those prone to excessive GWG.

Oxytocin and women's health in midlife.

Menopause marks the cessation of fertility and the transition to post-reproductive years. Nearly 1 million US women experience menopause annually, but despite the significant impact it has on their physical and mental health, menopause has been insufficiently studied. Oxytocin is a neurohormone that regulates emotionality, social behaviors, and fundamental physiological systems. Localization of oxytocin receptors in the brain, reproductive tissues, bone, and heart support their role in mental health and potentially sleep, along with reproductive and cardiovascular functions. While experimental data linking oxytocin to behavior and physiology in animals are largely consistent, human data are correlative and inconclusive. As women transition into menopause, oxytocin levels decrease while their susceptibility to mood disorders, poor sleep, osteoporosis, and cardiovascular diseases increases. These concurrent changes highlight oxytocin as a potential influence on the health and mood of women along their reproductive life span. Here, we summarize experimental rodent and non-human primate studies that link oxytocin to reproductive aging and metabolic health and highlight the inconclusive findings in studies of women. Most human studies relied on a single oxytocin assessment in plasma or on intranasal oxytocin administration. The pulsatile release and short half-life of plasma oxytocin limit the validity of these methods. We discuss the need for oxytocin assessments in stable bio-samples, such as urine, and to use valid assays for assessment of associations between changing oxytocin levels and well-being across the reproductive life span. This work has the potential to guide therapeutic strategies that will one day alleviate adverse health outcomes for many women.

Patterns of Sleep Duration and Metabolic Biomarkers Across the Menstrual Cycle.

CONTEXT: Along the menstrual cycle, associations between inconsistent sleep duration and levels of metabolic biomarkers are uncertain and could involve fluctuations in estrogen concentrations. OBJECTIVE: To examine associations between patterns of sleep duration and metabolic biomarkers across two menstrual cycles within a cohort of premenopausal women. METHODS: The BioCycle Study was conducted in New York between 2005-2007, enrolling 259 premenopausal women over two menstrual cycles. This micro-longitudinal cohort study involved intensive data collection including daily sleep diaries and biomarker assessments of leptin, insulin, and glucose at 16 key points timed to menstrual cycle phases. We considered dynamic sleep duration, as hours slept one night or as mean hours slept during the two nights prior to each biomarker assessment. Variability in habitual sleep duration, i.e., reported daily sleep duration, summarized across both menstrual cycles. Variation in habitual sleep duration was computed using L-moments, a robust version of dispersion, skewness, and kurtosis. To examine associations between patterns of sleep duration and metabolic biomarkers, we fitted a series of linear mixed models with random intercepts and inverse probability weighting. These models were adjusted for potential demographic, lifestyle, health confounders, and menstrual cycle phase. RESULTS: Sleep duration one night or two nights prior to clinic visits were not associated with metabolic biomarker measures we assessed. However, overall variability (dispersion) in habitual sleep duration was associated with lower mean insulin HOMA-IR levels, but not glucose. Moreover, extreme short or long bouts of sleep duration was associated with higher mean levels of leptin, insulin, and HOMA-IR. CONCLUSIONS: These data suggest that variation in habitual sleep duration along the menstrual cycle may be associated with metabolic function.

The Interplay Among Natural Menopause, Insomnia, and Cognitive Health: A Population-Based Study.

Purpose: The interrelationships among age at menopause, sleep, and brain health have been insufficiently studied. This study sought to examine the influence of age at natural menopause and insomnia symptoms on long-term cognitive function among US women. Patients and Methods: Our study included a nationally representative cohort of US adults age 50+ from the Health and Retirement Study (2008-2018). We restricted this cohort to 5880 women age 50+, from a diverse racial and ethnic groups. Age at menopause was retrieved from baseline (2008) for women having natural menopause. Five questions were used to identify women with insomnia symptoms (2010 and 2012): trouble falling asleep, nighttime awakenings, early morning awakenings, feelings of nonrestorative sleep, and use of sleep aids. A battery of four neuropsychological tests was conducted biennially (years) to evaluate cognitive function. Longitudinal associations between age at natural menopause and cognitive function were estimated with mixed effects models with a random intercept. Insomnia symptoms were examined as potential mediators or modifiers in the pathway between age at menopause and cognition. Results: One year earlier in age at menopause was associated with a 0.49 lower mean in composite cognitive score, in any given survey year (adjusted p = 0.002). Earlier age at menopause was associated with higher risk of developing insomnia symptoms (eg, trouble falling asleep OR = 0.97; 95% CI: 0.96, 0.99), and insomnia symptoms were associated with worse cognitive performance (eg, trouble falling asleep, beta = -0.5, p-value = 0.02). Therefore, insomnia symptoms could potentially mediate the association between age at natural menopause and cognition. Conclusion: Earlier age at menopause is associated with a lower score in cognitive performance. This association may be mediated by insomnia symptoms. Our findings spotlight that among women who experience early menopause, there is the need for studies of sleep-based interventions to mitigate cognitive decline.

Respiratory infection risk in positive airway pressure therapy users: a retrospective cohort study.

STUDY OBJECTIVES: Concerns regarding the risk of positive airway pressure (PAP)-associated respiratory infection (RI) have shaped consumer views toward PAP device use and maintenance. However, data regarding temporal associations between PAP use and risk for RIs are limited. The purpose of the present study was to examine longitudinal associations between PAP use and risk of clinically significant RIs in a cohort of patients with obstructive sleep apnea. METHODS: The frequency of clinically reported respiratory RIs pre- and post-PAP use were compared in a sample of 482 adult patients with obstructive sleep apnea who underwent PAP titration at a large academic sleep center between 2011 and 2014. RIs were identified by clinical record review beginning two years before and ending two years after the participants' PAP titration. Presence of longitudinal standard PAP data download reports identified PAP users from nonusers. PAP adherence was defined as at least 4 hours of use per day, five days per week for at least 70% of days. Poisson regression models, adjusted for age, sex, body mass index, and the number of pre-PAP use RIs were utilized to examine associations between PAP use and subsequent RIs. RESULTS: Poisson regression models adjusted for age, sex, body mass index, and the number of pre-PAP use RIs did not show associations between PAP therapy use and rate of post-PAP use RIs (rate ratio = 1.27, 95% confidence interval: 0.86-1.86). A sensitivity analysis that included only PAP users with difference in PAP adherence showed similar results (rate ratio = 0.65, 95% confidence interval: 0.32-1.30). CONCLUSIONS: Among adults with obstructive sleep apnea, we did not find evidence for association between PAP use/adherence and increased RI frequency. These data offer new information that could assuage patients with obstructive sleep apnea who are considering PAP deferral based on RI concerns. CITATION: Gavidia R, Shieu MM, Dunietz GL, Braley TJ. Respiratory infection risk in positive airway pressure therapy users: a retrospective cohort study. J Clin Sleep Med. 2023;19(10):1769-1773.

The Impact of Sustained Ownership of a Pet on Cognitive Health: A Population-Based Study.

Objectives: To examine associations between sustained ownership of a pet and cognitive outcomes among a national sample of U.S. adults. Methods: Weighted linear mixed models were estimated using the Health and Retirement Study (2010-2016, n = 1369) to compare repeated measures of cognitive function between respondents who endorsed owning a pet in a sustained manner (>5 years), versus those who owned a pet ≤5 years, and non-pet owners. Results: Respondents aged 65+ who owned a pet >5 years demonstrated higher composite cognitive scores, compared to non-pet owners (ß = .76, p = .03). Sustained pet ownership was associated with higher immediate (ß = .3, p = .02) and delayed (ß = .4, p = .007) word recall scores. There were no significant differences in cognitive scores between pet owners and non-owners aged < 65. Discussion: Sustained ownership of a pet could mitigate cognitive disparities in older adults. Further studies are needed to examine potential causal pathways, including physical activity and stress buffering, versus selection effects.

Disparities in sleep-wake patterns by labor force status: Population-based findings.

Sleep disturbances have been associated with unemployment, but variation in sleep-wake patterns by labor force status has rarely been examined. With a population-based sample, we investigated differences in sleep-wake patterns by labor force status (employed, unemployed, and not-in-the-labor-force) and potential disparities by sociodemographic variables. The analysis included 130,602 adults aged 25-60 y, who participated in the American Time Use Survey between 2003 and 2019. Individual sleep-wake pattern was extracted from time use logs in a strict 24-h period (04:00 h-03:59 h). Functional nonparametric regression models based on dimensionality reduction and neighborhood matching were applied to model the relationship between sleep-wake patterns and labor force status. Specifically, we predicted changes in intra-person sleep-wake patterns under hypothetical changes of labor force status from employed to unemployed or not-in-the-labor-force. We then studied moderations of this association by gender, race/ethnicity and educational attainment. In comparison to the employed state, unemployed and not-in-the-labor-force states were predicted to have later wake-times, later bedtimes, and higher tendency for taking midday naps. Changes in labor force status led to more apparent shifts in wake-times than in bedtimes. Additionally, sleep schedules of Hispanics and those with higher education level were more vulnerable to the change of labor force status from employed to unemployed.