Improve Sleep Health Research Articles

A Sleep Health Education Intervention Improves Sleep Knowledge in Social Work Students

Introduction: Social workers, the largest group of mental health clinicians in the United States, play a pivotal role in mental health promotion. Despite the importance of sleep for mental health, there is no empirical research on sleep education interventions for social workers. Method: We designed an online sleep health education intervention to equip social work students to promote healthy sleep practices among their clients. An interdisciplinary team of experts devised the 90 min intervention using an empirically supported behavioral change theoretical model (COM-B). The intervention discusses multi-level factors that impact sleep and emphasizes considerations for health disparities in populations commonly served by social workers (e.g., unhoused populations, clients with substance use disorders, etc.). We assessed sleep knowledge, sleep quality, and acceptability using survey and focus group data. Results: Ninety social work students (92.2% female, 38.8% non-Hispanic white) completed pre- and post-intervention assessments. Participants demonstrated significant improvements in sleep health knowledge and their personal sleep quality. Quantitative and qualitative data revealed perceived usefulness for social work practice. Conclusions: A short online sleep education intervention can improve sleep health knowledge, offering a practical method to expand social workers’ understanding of healthy sleep promotion that can be readily implemented in clinical training and practice.

Food Insecurity and Sleep-Related Problems in Adolescents: Findings from the EHDLA Study.

The current research aimed to investigate the connection between food insecurity and sleep issues among Spanish adolescents aged from 12 to 17 years from the Valle de Ricote (Region of Murcia, Spain). Data from the Eating Healthy and Daily Life Activities Study, which included a sample of 836 adolescents (55.3% girls), were analyzed. Food insecurity was evaluated using the Child Food Security Survey Module in Spanish (CFSSM-S), while sleep-related problems were evaluated using the Bedtime problems, Excessive daytime sleepiness, Awakenings during the night, Regularity and duration of sleep, and Sleep-disordered breathing (BEARS) sleep screening tool. Generalized linear models were employed to explore the association between food insecurity and sleep-related issues. Compared with their counterparts with food security, adolescents with food insecurity had greater probabilities of bedtime problems (24.1%, 95% confidence interval (CI) 16.9% to 33.0%, p = 0.003), excessive daytime sleepiness (36.4%, 95% CI 27.5% to 46.3%, p < 0.001), awakenings during the night (16.7%, 95% CI 10.8% to 25.1%, p = 0.004), and any sleep-related problems (68.1%, 95% CI 57.5% to 77.1%, p < 0.001). This study suggests that food insecurity is related to greater sleep-related problems among adolescents. Implementing strategies to mitigate food insecurity may contribute to improved sleep health among adolescents, highlighting the importance of integrated public health interventions.

Nurses' attitudes, beliefs and knowledge of sleep health in residential aged care: An integrative literature review.

To identify, synthesize and evaluate primary research on registered nurses' (RN) knowledge, attitudes and beliefs about sleep health and sleep health management of older adults living in residential aged care. Integrative review. Medline, Embase and CINAHL databases from inception to September 2023. Databases were searched using a combination of key words, subject heading terms. All abstracts and full-text articles were screened by two researchers. Qualitative synthesis of the included articles was conducted. Inductive content analysis was used to identify themes and analyse data. A total of 923 abstracts were screened resulting in a final yield of 13 articles. Three themes were identified: (i) RN experience with sleep-disturbed residents, (ii) the emotional burden of sleep disturbances on RN and, (iii) organizational barriers to promoting resident's healthy sleep. Inappropriate administration of benzodiazepines and psychotropic drugs to manage residents' sleep disturbances was a major issue and lack of resources in residential aged care to facilitate sleep. There were concerns on nursing activity that disturbed residents' sleep and striking a balance between facilitating sleep and meeting managerial expectations was challenging. This review identified that nurses' decision-making has an integral role in the management of sleep health in residents in aged care. Whilst evidence-based guidelines for managing sleep in residential aged care are available, there is a lack of translation to practice. Understanding RN perspectives is critical to improving sleep health models of care in residential aged care. This review found that RN are attuned to the implications of sleep disturbance in residential aged care but are constrained by current sleep health models of care. Not applicable.

A comparative analysis of sleep quality and time management skills between shift and non-shift police officers.

The sleep quality of police officers working in shifts is negatively affected due to long working hours and sleeping less during the day. In our study, we aimed to examine the differences in sleep quality and time management skills in police officers working with shift and non-shift system. 106 police officers, 46 of whom worked in the shift system, 60 of whom worked in the non-shift system, and whose mean age was 27.6 ± 0.9 [min 20, max 40] were included in the study. Sleep quality was assessed with the Pittsburgh Sleep Quality Index[PSQI] and time management skills with the Time Management Questionnaire[TMQ]. While the TMQ total score was 80.91 ± 12.61 for police officers working in shifts, it was 72.41 ± 12.62 for police officers working non-shift. The PSQI total score was 5 in both groups. There was a difference between the TMQ time planning, TMQ time attitudes sub-dimensions, and TMQ total scores of police officers working in the shift system and those working in the non-shift system[p < 0.05]. While poor sleep quality was observed between both groups, there was no difference in sleep quality[p > 0.05]. There was no difference in sleep quality between police officers working in shifts and non-shifts. However, the time management skills of police officers working in shifts were better than those of police officers working in non-shifts. We believe that training programs to improve sleep health and time management skills in police officers are needed for both the sleep quality and well-being of police officers and public safety.

Relationship between the presence of meaning in life and sleep quality: A moderated chain-mediation model.

Sleep is a vital component of health; however, sleep issues are particularly prominent among college students. Identifying protective factors for sleep among college students is of paramount importance. To investigate the mechanisms behind the association between the presence of meaning in life (PML) and sleep quality, we conducted two questionnaire surveys (separated by an interval of 6 months) with 5660 college students to collect longitudinal data. The results show that PML predicted sleep quality and that this relationship was influenced by the mediating effect of depression and the chain mediating effect of coping style and depression; further, the search for meaning in life played a moderating role in the chain mediation model. This study offers new theoretical perspectives on the protective factors of sleep quality and provides empirical insights useful for improving sleep health among college students.

Research on the Relationship between Lifestyle and Sleep Health

Insomnia, a widespread concern among the populace, frequently prompts questions about the determinants of sleep quality. Addressing these queries, the study meticulously examines the impact of various lifestyle factors on sleep. This paper utilizes a comprehensive dataset from Kaggle, encompassing an array of lifestyle habits and their corresponding sleep quality metrics. Through the application of a linear regression model and the robust bootstrap method, the analysis has brought to light a substantial scientific link between lifestyle choices and the quality of sleep. The findings are revealing: key factors such as age, the extent of physical activity, and the number of steps taken daily exhibit a positive correlation with enhanced sleep quality. In stark contrast, this paper observes that elevated stress levels and increased systolic blood pressure negatively impinge upon sleep. Intriguingly, the study further reveals that sleep quality is not uniform across the board; it varies significantly with gender differences and Body Mass Index (BMI) levels. These insights underscore the multifaceted nature of sleep quality, influenced by a tapestry of lifestyle elements. The research contributes to a deeper understanding of sleep dynamics, offering valuable perspectives for improving sleep health in the society.

0273 Photovoice for Leveraging Integrative Medicine Amongst Black Adults to Improve Sleep Health

0273 Photovoice for Leveraging Integrative Medicine Amongst Black Adults to Improve Sleep Health

0374 Dimensions of Sleep Health and Mood Disorders in Middle Eastern/North African Women

Abstract Introduction Insomnia symptoms are a common sleep disturbance during midlife. However, emerging evidence suggests that midlife women also experience increased risk of obstructive sleep apnea and short sleep duration. Cohorts of women in midlife have mostly included white women, despite suspected sleep health disparities among women from underrepresented racial and ethnic backgrounds. To address this gap, we conducted a pilot study that examined sleep health among women from Middle Eastern/North African (MENA) ancestry. Methods This pilot study enrolled 77 women aged 40-60y from MENA ancestry, recruited mostly from Michigan. Women provided demographic, lifestyle, sleep and health information through interviews with structured and validated questionnaires, including the Pittsburgh Sleep Quality Index (PSQI) and Patient Health Questionnaire (PHQ-9). Risk for obstructive sleep apnea (OSA) was evaluated using the STOP questionnaire+BMI and a subset of the women was tested with Watch-PAT, a one-night home sleep apnea testing device (OSA diagnosis, apnea-hypopnea index pAHI3%&amp;gt;5/h). The menopause rating scale was used to collect data on psychological and physiological symptoms. Results Mean age of women was 48y±5 years and mean BMI was 27.6±5 kg/cm2. Anxiety, irritability, and depression symptoms were identified in 33%, 25% and 31% of women. Half reported trouble falling asleep within 30 minutes, and 73% experienced nocturnal and early morning awakenings three or more times per week. Most women (75%) were aware of adequate sleep recommendations, but 54% reported short sleep duration, &amp;lt; 6 hours, and 30% reported &amp;lt; 5 hours of sleep per night. A STOP+BMI score ≥3 was observed in 20% of women. Twenty women were tested for OSA and 75% had it (mean pAHI3%=12.6/h). Moderate and severe OSA was apparent among 20% and 10% of the 20 women. Concurrent OSA and insomnia symptoms were observed among 40% of women. The odds ratio of insomnia were 9-fold and 3-fold for women with depression and anxiety, respectively. Conclusion We found a high burden of poor sleep and sleep disorders among midlife women from MENA ancestry. Moreover, poor sleep was associated with symptoms of depression and anxiety, raising the possibility that efforts to improve sleep health could benefit the mental health of these women as well. Support (if any)

Associations between neighbourhood safety, social cohesion, sleep quality and sleep duration among older adults in India: Findings from the Study on Global Aging and Adult Health (WHO-SAGE), 2015.

Most studies on later-life health in India focus on families, with far less attention given to the health repercussions of neighbourhood conditions among older Indians. We address this limitation in existing research by examining the associations between perceptions of neighbourhood safety and social cohesion and sleep duration and sleep quality among older adults in India. Data come from the Study on Global Aging and Adult Health (WHO-SAGE), India 2015 wave 2, with a sample of 7118 adults aged 50 years and above. Sleep quality and duration were assessed using subjective responses. Multivariable logistic and linear regression analyses were employed to test the research hypotheses. Prevalence of poor sleep quality was higher among older adults living in unsafe neighbourhoods (4.46%) than peers residing in safe neighbourhoods (3.52%), and it was also higher among those living in neighbourhoods with poor social cohesion (5.31%) than counterparts who lived in socially cohesive communities (3.10%). Older adults in neighbourhoods with poor social cohesion had higher odds of reporting compromised sleep quality (adjusted odds ratio 1.75, CI: 1.22-2.51) than those living in socially cohesive neighbourhoods. Moreover, compared to those who perceived they were living in safe neighbourhoods, their peers who perceived their neighbourhoods as unsafe reported shorter sleep duration, with a negative beta coefficient of -0.27 (CI: -0.45 to -0.085). That perceived unsafety and poor social cohesion within one's neighbourhood are associated with compromised sleep reflects the significance of making neighbourhoods safer and more integrated for later-life sleep health. In addition to micro-level strategies (e.g., balanced nutrition and physical activity), efforts to improve sleep health should optimise macro-level opportunities, such as rehabilitating and revitalising neighbourhoods, which may alleviate sleep disturbances and improve sleep outcomes among older adults.

Indices of Sleep Health Are Associated With Timing and Duration of Eating in Young Adults

BackgroundLimited data exist examining whether timing and/or duration of eating behaviors throughout the day affect sleep health. ObjectiveThe aim of this study was to identify the relationship between eating behaviors and sleep in young adults without chronic diseases or conditions. DesignThis was a cross-sectional study using 7 days of baseline data from a randomized crossover trial. Participants/settingParticipants included 52 young adults. The study took place in West Lafayette, Indiana, between April 2017 and May 2018. Main outcome measuresTiming and duration of eating were assessed via 3 nonconsecutive, 24-hour dietary recalls. Bedtime, wake time, total sleep time, sleep latency, sleep efficiency, and wake after sleep onset were measured over 7 days via wrist actigraphy and sleep diaries. Statistical analyses performedTwo-way analyses of variance were applied to assess group differences based on timing of consumption (early vs late eating) and duration of eating (long: >13 hours, short: <11 hours, or standard: 11-13 hours) with post-hoc pairwise comparisons. ResultsMain effects of timing of consumption, but not duration of eating, were detected for wake time, bedtime, and sleep efficiency (all, P < .05). Specifically, participants with later eating patterns that included breakfast skipping had later wake times and later bedtimes than those with earlier eating patterns. In addition, those who had later eating patterns that included breakfast skipping and nighttime eating experienced lower sleep efficiency (mean [SE], 77.0% [2.3%]) vs those who consumed breakfast and no nighttime eating (mean [SE], 84.6% [1.4%]; P < .001) and those who skipped breakfast but had no nighttime eating (mean [SE], 84.2% [2.5]; P < .05). Those who consumed breakfast but also had nighttime eating had a mean (SE) sleep efficiency of 82.4% (1.4%) (P = .09). ConclusionsThe timing of eating was associated with sleep–wake onset and sleep efficiency. This study provides the preliminary characterization of eating behaviors relative to sleep–wake cycles and highlights the need for experimental studies to understand whether manipulating the timing of eating occasions to better align with sleep–wake cycles could improve sleep health.

Abstract P522: Racial Differences in Sleep Health in Middle-Aged Adults

Introduction: Sleep health is comprised of many dimensions, including duration, quality and sleep disorders. Prior work found that Black adults have worse sleep health than White adults, but the underlying reasons are unknown. Our goal was to examine possible determinants of racial disparities in sleep health. We hypothesized that sleep health would be worse in Black participants, and this would be partly explained by clinical, psychosocial and lifestyle risk factors. Methods: We used cross-sectional data from the sleep ancillary study to the Coronary Artery Risk Development in Young Adults (CARDIA) study. Several objective sleep measures were collected, including 7 days of wrist actigraphy and a home sleep test (Nox T3s). Sleep disordered breathing was classified by oxygen desaturation index (ODI)&gt;=10 or apnea-hypopnea index (AHI) &gt;=15. We used a series of regression models to calculate the percent reduction in the coefficient estimate for race in models for each sleep health metric after adjusting for clinical factors, psychosocial factors or lifestyle factors. Results: There were 565 Black and 741 White adults in this analysis (mean (SD) age 61 (3.6) years). Black adults had significantly worse sleep health based on all measures, including shorter sleep duration, lower sleep percentage, greater sleep fragmentation and higher prevalence of sleep disordered breathing compared to White adults. Clinical factors, psychosocial factors and lifestyle factors all explained a proportion of the racial differences in sleep fragmentation and sleep percentage and explained away the racial differences in sleep disordered breathing (Table). Conclusions: Racial disparities in sleep health may be partly explained by clinical factors, such as blood pressure and BMI, psychosocial factors, such as education and depression, and lifestyle factors, such as smoking, alcohol intake, and physical activity. These findings provide several potential intervention targets to improve sleep health, particularly in Black adults.

The Swiss Sleep House Bern—A New Approach to Sleep Medicine

Sleep is essential for health, well-being, creativity, and productivity. Sleep loss and sleep–wake circadian disorders (SWCDs) affect at least one in three individuals but are underdiagnosed and undertreated for different reasons: First, the importance of sleep health and, second, the burden of sleep loss and SWCDs are underestimated. Third, education in sleep medicine is insufficient and health care-related sleep research is underdeveloped. Fourth, the validation and implementation of tele-sleep medicine approaches and novel devices to monitor SWCDs are still insufficient. Fifth, the reimbursement of sleep medicine in most countries is inadequate and the availability of specialized care is limited to a few centers. The Swiss Sleep House Bern (SSHB) was founded in 2022 to address these challenges and eventually promote better care for patients with SWCDs and improve sleep health for the broader population. The interdisciplinary and interprofessional team of the SSHB, which is integrated in the Bernese Interdisciplinary Sleep-Wake-Epilepsy Center, links sleep specialists with primary care providers to offer a rapid and accessible triage and first-level management of sleep complaints and SWCDs. The SSHB also promotes awareness and offers educational programs on sleep health and SWCDs, performs health care research, and fosters the implementation of new technologies, data science, and telemedicine into clinical routine.

The Causal Association Between Blood Lead and Sleep Disorders: Evidence from National Health and Nutrition Examination Survey and Mendelian Randomization Analysis

BackgroundPoor sleep quality is a global public health concern. This study aimed to identify the risk factors for sleep disorders and clarify their causal effects.MethodsData were obtained from the National Health and Nutrition Examination Survey (NHANES) and Mendelian randomization (MR)-Base databases. Baseline characteristics of individuals with and without sleep disorders were compared. A multivariate logistic regression analysis was performed to calculate the effects of each variable on sleep disorders. Causal effects of blood lead levels and hypertension on sleep disorders were assessed using MR analysis.ResultsIn total, 3660 individuals were enrolled in the study. The prevalence of self-reported sleep disorders was 26.21%. Serum lead level, serum mercury level, serum retinol level, prevalence of hypertension, and daily vigorous work duration were significantly higher for those in the sleep disorders group than the control group. After adjusting for various covariates, the effects of serum lead and hypertension on sleep disorders were stable from logistic regression models 1–4. MR analysis showed that blood lead levels were causally related to the risk of sleep disorders (odds ratio (OR) = 1.09, 95% confidence interval (CI) 1.01–1.17, P = 0.030). There was no causal link between elevated blood pressure and sleep disorders (OR = 0.99, 95% CI 0.94–1.04, P = 0.757). Goodness-of-fit tests and sensitivity analyses were used to verify the reliability of the results.ConclusionsBlood lead is positively and causally associated with an increased risk of sleep disorders. These findings provide a novel perspective regarding sleep protection. Taking effective measures to reduce lead exposure may significantly improve sleep health.

Factors Associated With Sleep Quality Among Undergraduate Nursing Students During Clinical Practicums.

Limited evidence exists on factors influencing nursing students' sleep quality during clinical practicums. This study examined the sleep quality of nursing students and factors that affect sleep quality during clinical practicums. Undergraduate nursing students (n = 135) enrolled in clinical practicums in 3 universities completed questionnaires including sociodemographics and the Pittsburgh Sleep Quality Index (PSQI). Stepwise linear regression evaluated factors predicating sleep quality. Seventy percent of nursing students reported poor sleep quality. Weekly work hours and clinical hours were significant factors in predicting global PSQI scores, subjective sleep quality, sleep duration, sleep efficiency, and daytime dysfunctions. The students' race was related to sleep latency and sleeping medication. Clinical hours and living on campus were associated with sleep disturbances. Knowing the factors that influence nursing students' sleep during clinical practicums, nurse educators can help students improve sleep health and clinical experience.

Sleep Health among Children Adopted from Foster Care: The Moderating Effect of Parent–Child Sleep Interactions

ABSTRACT Objectives Sleep disruption is prevalent among children placed in foster care, elevating risk for a range of deleterious outcomes. Theoretically, achieving permanency via adoption may have a positive influence on children’s sleep via the presence of various factors, but little is known about the sleep health of children adopted from foster care, including predictors and moderators of sleep health. Method The current study included 226 parents who adopted a child from foster care in the U.S. (aged 4–11 years) within the past two years and a propensity score matched sample of 379 caregivers of children currently in foster care. Both samples completed online questionnaires about their child’s sleep, physical, and mental health. Results Comparatively, children in foster care experienced more nightmares, night terrors, moving to someone else’s’ bed during the night, and worse overall sleep quality, whereas adopted children were reported to experience significantly more nighttime awakenings. In the adopted sample, a greater number of prior foster placements unexpectedly predicted lower total sleep disturbance scores, but this relationship was moderated by parent–child interactions around sleep. In general, greater parental involvement in children’s sleep was associated with lower levels of child sleep disturbance. Conclusions Findings suggest that while specific sleep problems might remit after children in foster care achieve permanence, nighttime sleep fragmentation often persists. Parent–child interactions surrounding sleep may be pivotal in improving sleep health in this population.

Time use and dimensions of healthy sleep: A cross-sectional study of Australian children and adults

BackgroundSleep is increasingly recognized as a multidimensional construct that occurs within the 24-hour day. Despite advances in our understanding, studies continue to consider the relationship between sleep, sedentary time and physical activity separately, and not as part of the 24-hour day. AimsTo determine the association between the 24-hour activity composition and dimensions of healthy sleep. MethodsThis study examined data on 1168 children (mean age 12years; 49% female) and 1360 adults (mean age 44years; 87% female) collected as part of the Child Health CheckPoint study. Participants were asked to wear a GENEActiv monitor (Activinsights, Cambs, UK) on their nondominant wrist for eight consecutive days to measure 24-hour time-use. Compositional data analysis was used to examine the association between time use (actigraphy-derived sleep duration, sedentary time, light physical activity and moderate-vigorous physical activity) and dimensions of healthy sleep. Healthy sleep was conceptualized in terms of continuity/efficiency, timing, alertness/sleepiness, satisfaction/quality, and regularity. Time allocations were also examined. ResultsThe 24-hour activity composition was significantly associated with all objectively measured and self-report dimensions of healthy sleep in both children and adults. Allocating more time to sleep was associated with earlier sleep onsets, later sleep offsets, less efficient and more consistent sleep patterns for both children and adults. ConclusionThis study highlights the integral relationship between daily activities and dimensions of sleep. Considering sleep within the 24-hour day activity composition framework may help inform lifestyle decisions to improve sleep health.

Is it Time to Include Wearable Sleep Trackers in the Applied Psychologists' Toolbox?

Wearable sleep trackers are increasingly used in applied psychology. Particularly, the recent boom in the fitness tracking industry has resulted in a number of relatively inexpensive consumer-oriented devices that further enlarge the potential applications of ambulatory sleep monitoring. While being largely positioned as wellness tools, wearable sleep trackers could be considered useful health devices supported by a growing number of independent peer-reviewed studies evaluating their accuracy. The inclusion of sensors that monitor cardiorespiratory physiology, diurnal activity data, and other environmental signals allows for a comprehensive and multidimensional approach to sleep health and its impact on psychological well-being. Moreover, the increasingly common combination of wearable trackers and experience sampling methods has the potential to uncover within-individual processes linking sleep to daily experiences, behaviors, and other psychosocial factors. Here, we provide a concise overview of the state-of-the-art, challenges, and opportunities of using wearable sleep-tracking technology in applied psychology. Specifically, we review key device profiles, capabilities, and limitations. By providing representative examples, we highlight how scholars and practitioners can fully exploit the potential of wearable sleep trackers while being aware of the most critical pitfalls characterizing these devices. Overall, consumer wearable sleep trackers are increasingly recognized as a valuable method to investigate, assess, and improve sleep health. Incorporating such devices in research and professional practice might significantly improve the quantity and quality of the collected information while opening the possibility of involving large samples over representative time periods. However, a rigorous and informed approach to their use is necessary.

Sleep behavioral outcomes of school-based interventions for promoting sleep health in children and adolescents aged 5 to 18 years: a systematic review.

Insufficient sleep is common among children and adolescents, and can contribute to poor health. School-based interventions potentially could improve sleep behavior due to their broad reach, but their effectiveness is unclear. This systematic review focused on the effects of school-based interventions on sleep behavior among children and adolescents aged 5 to 18 years. Five electronic databases were searched for randomized controlled trials of sleep health interventions initiated or conducted in school settings and in which behavioral sleep outcomes were measured. Cochrane risk of bias tools were used to assess study quality. From the 5303 database records and two papers from other sources, 21 studies (22 papers) met the inclusion criteria for this review. These studies involved 10867 children and adolescents at baseline from 13 countries. Most studies (n = 15) were conducted in secondary schools. Sleep education was the most common intervention, either alone (n = 13 studies) or combined with other initiatives (stress management training, n = 2; bright light therapy, n = 1; health education, n = 1). Interventions were typically brief in terms of both the intervention period (median = 4 weeks) and exposure (median = 200 minutes). Behavioral outcomes included actigraphy-measured and self-reported sleep patterns, and sleep hygiene. All outcomes had high risk of bias or some concerns with bias. Sleep education interventions were typically ineffective. Later school start times promoted longer sleep duration over 1 week (1 study, high risk of bias). Current evidence does not provide school-based solutions for improving sleep health, perhaps highlighting a need for complex, multi-component interventions (e.g. whole-of-school approaches) to be trialed.

"What if that's your last sleep?" A qualitative exploration of the trauma of incarceration and sleep.

Sleep is an underexplored factor in the health of people involved in the criminal legal system. This study addresses the paucity of research on how individual, social, and physical environmental factors impact sleep health during and after incarceration by highlighting the voices of people involved in the criminal legal system through a community-engaged qualitative research approach. We conducted 20 semi-structured interviews with men recently released from prison for a study on trauma and healthcare during incarceration and after release. Interviews were coded and analyzed using reflexive thematic analysis and a critical realist framework. Our research team included people with a history of incarceration who performed central roles in the research process. Three themes emerged from participants' descriptions of sleep during and after incarceration: (1) concerns about health contributing to sleep problems, (2) lack of access to treatment for sleep disorders leading to ongoing sleep problems, and (3) issues of safety contributing to sleep problems during incarceration and after release. This study identifies factors and domains influencing sleep during and after incarceration. By identifying which interpersonal, environmental, and structural factors impact sleep quality, medical and carceral staff are better equipped to ameliorate sleep health disparities within populations with a history of incarceration and those actively bound by the criminal legal system. Future research should examine other factors impacting sleep in incarcerated and recently released populations and develop multi-level interventions to improve sleep health. This paper is part of the Sleep and Circadian Health in the Justice System Collection.

Poor sleep health predicts the onset of a fear of falling among community-dwelling older adults

IntroductionA greater fear of falling predicts disability, falls, and mortality among older adults. Although poor sleep has been identified as a relevant risk factor for fear of falling among older adults, evidence is primarily shown in cross-sectional studies using isolated sleep characteristics. Less is known about whether prior fall experiences change the sleep health-fear of falling link among older adults. We investigated the longitudinal relationship between sleep health and the incidence of fear of falling among community-dwelling older adults and how the association differed between those with or without prior fall experiences. MethodsData were from individuals who completed the sleep module in the National Health and Aging Trends Study (2013-2014; n = 686). Fear of falling was assessed with a single item. Multidimensional sleep health was measured with self-reported sleep items based on the SATED model (ie, sleep satisfaction, daytime alertness, timing, efficiency, and duration). Covariates included sociodemographics, assistive device usage, health, risky behavior, and sleep medications. Multiple logistic regression was used to analyze the data. ResultsPoor sleep health was associated with the onset of fear of falling at 1-year follow-up (odds ratios=1.20, 95% confidence interval=1.02-1.41). Moreover, poor sleep health increased the odds of having fear of falling among individuals without prior falls experiences and elevated the already heightened risks of developing fear of falling among those who fell at baseline. ConclusionsGiven that fear of falling and experiencing a fall each increase the risk of the other occurring in the future, improving sleep health may prevent older adults from stepping into the vicious cycle of fear of falling and falls.