Who gets the best sleep? Ethnic and socioeconomic factors related to sleep complaints

Sleep Deficiency and Opioid Use Disorder: Trajectory, Mechanisms, and Interventions

Opioid use disorder (OUD) is a chronic and relapsing brain disease characterized by loss of control over opioid use and impairments in cognitive function, mood, pain perception, and autonomic activity. Sleep deficiency, a term that encompasses insufficient or disrupted sleep due to multiple potential causes, including sleep disorders (eg, insomnia, sleep apnea), circadian disruption (eg, delayed sleep phase and social jet lag), and poor sleep quality (eg, sleep fragmentation, impaired sleep architecture), is present in greater than 75% of patients with OUD. This article focuses on highlighting bidirectional mechanisms between OUD and sleep deficiency and points toward promising therapeutic targets.

Sleep problems and their predictors in community-dwelling older adults with diabetes in India: Evidence from the Longitudinal Ageing Study in India

Objectives

To ascertain the prevalence and predictors of sleep disorders and poor sleep quality among older adults with Diabetes (DM) in India, and to assess the relationship between sleep quality and DM.

Methods

Data was utilized from the nationally representative Longitudinal Ageing Study in India (Wave-1, 2017-18), with a total sample of 66606 older adults (≥45 years) selected for the study. Sleep problems and sleep quality score were assessed using an adaptation based on the Jenkins Sleep Scale. Multivariate linear and logistic regressions were conducted to determine the effect of sociodemographic and clinical factors on sleep quality. Mediation analysis (Karlson-Holm-Breen) was done to assess the direct and indirect effects of independent variables on the sleep quality scores. Further, Propensity score matching (PSM) was done to assess the impact of diabetes on sleep problems.

Results

The prevalence of DM was 12.34% (n = 8564, 95% CI: 11.54, 13.20) among whom 24.38% (95% CI: 21.38, 27.65) reported sleep problems. On adjusted analysis, sleep problems were significantly associated with increasing education, higher wealth quintile, lack of physical activity, and multimorbidity. Mediation analysis showed adherence to anti-diabetes medication improved sleep quality (aB = -0.28 (95% CI: -0.54, -0.02)), while comorbidities worsened sleep quality (aB = 0.79 (95% CI: 0.67, 0.92)). Analysis from PSM indicated that DM was associated with a 6.2% higher chance of sleep problems.

Conclusions

Poor sleep quality is present in nearly one in four individuals diagnosed with DM in India and linked with certain adverse social determinants. Focused interventions to improve assessment and treatment of sleep problems in resource-limited primary care settings require prioritization.

Associations Between Perceived Social Status, Discrimination, With Subjective Sleep Quality Among Migrant Care Workers During COVID-19 Pandemic

This study examined the relationship between perceived social status, COVID-19-related discrimination, and sleep quality among 158 migrant care workers in Taiwan. Data were collected via computer-assisted interviews, assessing perceived social status with the MacArthur scale and sleep quality using the Pittsburgh Sleep Quality Index. The results revealed that higher perceived social status in reference to the destination country (B = 0.31) and experience of media stigmatization (B = 0.52) were associated with higher global Pittsburgh Sleep Quality Index (PSQI) scores, whereas perceived social status in reference to the home country and others forms of pandemic-related discrimination were not associated with PSQI scores. The study concluded that social comparison and stigmatization were linked to sleep health of migrant care workers. Understanding these factors can inform the development of targeted interventions to address inequalities faced by migrants.

Exploring the Association Between Minimum Wage Policy, Income Inequality, and Obesity Rates in US Counties

OBJECTIVE

To examine the interaction between minimum wage policy, income inequality, and obesity rates among U.S. counties, and how this relationship is shaped by policy, place, and racial/ethnic composition in a county.

METHODS

We used the County Health Rankings Data for obesity ratio (measured by Body Mass Index ≥ 30 kg/m2) in US counties and combined it with the American Community Survey to include the Gini coefficient (GC) and population characteristics. The analytical sample included 3129 counties between 2015 and 2019. We ran several sets of regression analyses, controlling for county characteristics, access to healthy foods, and minimum wage categories as a policy influencer on the obesity ratio.

RESULTS

In total, 31.7% of the population were obese, with wide variations across counties; during this time, counties' average GC was 0.442. Our findings showed that in the lack of any other predictors, GC has a positive association with the county obesity ratio (OLS 0.147, CI 0.122-0.173). Counties with minimum wage between $7.26-$9.0 and $9 + had lower obesity ratios by - 0.6 and - 2.8 percentage points, respectively, and counties with lower access to healthy foods had higher obesity ratio (Coeff = 0.022, CI 0.019-0.025).

CONCLUSIONS

Income inequality is positively associated with the obesity ratio in counties. Access to healthy foods and state minimum wage policy predict obesity rates, with a lack of healthy foods increasing the ratio, while a higher minimum wage reduces it.

Diet quality in young adulthood and sleep at midlife: a prospective analysis in the Bogalusa Heart Study

BACKGROUND

Diet and sleep are both established risk factors for cardiometabolic diseases. Prior evidence suggests a potential link between these behaviors, though longitudinal evidence for how diet associates with sleep is scarce. This study aimed to determine the prospective association between diet quality in young adulthood and multiple sleep outcomes at midlife in the Bogalusa Heart Study (BHS).

METHODS

This prospective study included 593 BHS subjects with dietary assessment at the 2001-2002 visit and sleep questionnaire responses from the 2013-2016 visit, after an average of 12.7 years (baseline mean age: 36 years, 36% male, 70%/30% White and Black persons). A culturally tailored, validated food frequency questionnaire assessed usual diet. Diet quality was measured with the Alternate Healthy Eating Index (AHEI) 2010, the Healthy Eating Index (HEI) 2015, and the alternate Mediterranean (aMed) dietary score. Robust Poisson regression with log-link function estimated risk ratios (RR) for insomnia symptoms, high sleep apnea score, and having a healthy sleep pattern by quintile and per standard deviation (SD) increase in dietary patterns. Models adjusted for potential confounders including multi-level socioeconomic factors, depression, and body mass index. Trends across quintiles and effect modification by sex, race, and education were tested.

RESULTS

Higher diet quality in young adulthood, measured by both AHEI and HEI, was associated with lower probability of having insomnia symptoms at midlife. In the adjusted model, each SD-increase in AHEI (7.8 points; 7% of score range) conferred 15% lower probability of insomnia symptoms at follow-up (RR [95% confidence interval CI]: 0.85 [0.77, 0.93]), those in Q5 of AHEI had 0.54 times the probability as those in Q1 (95% CI: 0.39, 0.75), and there was a significant trend across quintiles (trend p = 0.001). There were no significant associations between young adult diet quality and having a high sleep apnea risk or a healthy sleep pattern at follow-up.

CONCLUSIONS

A healthy diet was associated with a lower probability of future insomnia symptoms. If replicated, these findings could have implications for chronic disease prevention strategies incorporating the lifestyle behaviors of sleep and diet.

Does sleep quality differ across political parties? Results from a survey of Arizona adults

OBJECTIVES

In this study, we explore the relationship between political party affiliation and sleep quality since the COVID-19 pandemic.

METHODS

We analyze online survey data collected for a sample of adult residents of Arizona in February and March 2023 (N = 922). We fit ordered-logistic regression models to examine how party affiliation and changes to one's personal life due to the COVID-19 pandemic are associated with the self-reported frequency of sleep difficulty.

RESULTS

Compared to Republicans, Democrats and Independents report significantly worse sleep quality, net of the influence of sociodemographic controls. Additionally, having experienced major changes to one's personal life due to the COVID-19 pandemic is significantly associated with more frequent trouble sleeping for Democrats and Independents, but not for Republicans.

CONCLUSIONS

We document a partisan divide in sleeping patterns among adults in a swing state and highlight an underappreciated factor contributing to sleep health amidst heightened political polarization.

Employment, income, and sleep in South Africa: An actor-partner interdependence model approach

OBJECTIVE

We analyze the relationship between employment status, income, and sleep in South Africa to address two research questions: (1) How does employment status influence the sleep quantity of the individual and their partner? (2) How does income impact the sleep quantity of the individual and their partner?

METHOD

Using data from 1600 Black African couples in the South African Time Use Study, we employ the Actor-Partner Interdependence Model to investigate the relationship between employment status, income, and sleep in couples. We categorize nighttime sleep into three categories: recommended sleep (7-9 hours), short sleep (<7 hours), and long sleep (>9 hours).

RESULTS

Employed individuals were more likely to get the recommended amount of sleep and less likely to experience long sleep. However, men whose wives are employed are almost twice as likely as men whose wives are unemployed to experience short sleep, and they experience 47% lower risk of long sleep. Men with a medium level of income have a higher risk of short sleep than those with low income, while those in the highest income category are more likely to get the recommended amount of sleep.

CONCLUSION

These results highlight the intricate dynamics between managing employment demands and securing economic stability for both men and women in the context of high unemployment and shifting gender norms.

Sleep as a contributor to socioeconomic disparities in hypertension: The Midlife in the United States (MIDUS II) Study

STUDY OBJECTIVES

Hypertension is highly prevalent and is a major risk factor for cardiovascular disease. There is a higher burden of hypertension among individuals of lower socioeconomic status (SES), yet the role of sleep in understanding socioeconomic disparities in hypertension is unclear. We investigated whether sleep quality is a partial mediator of the association between SES and hypertension.

METHODS

We used data from the Midlife in the United States II Study, 2004-2009 (n = 426). Analyses were conducted in 2023. Participants underwent 7-day actigraphy and clinical assessments. Sleep quality measures included actigraphy-defined wakefulness after sleep onset (WASO) and sleep efficiency. Hypertension was measured via three consecutive blood pressure readings, and SES was measured via educational attainment. Models were fit adjusting for age, gender, race, body mass index, and perceived stress.

RESULTS

Participants had a mean age of 53.5 years (SD = 12.4) and 41.0% were African American. The prevalences of poor WASO (>30 minutes), low sleep efficiency (<85%), and hypertension were 77.7%, 67.1%, and 61.0%, respectively. Education was not associated with hypertension. However, individuals with low vs. high sleep efficiency had 24% higher prevalence of hypertension (aPR = 1.24, 95% CI: 1.02 to 1.51), higher systolic blood pressure (aβ = 4.61, 95% CI: 0.69 to 8.53), and higher diastolic blood pressure (aβ = 2.50, 95% CI: 0.10 to 4.89). Education was not significantly associated with sleep after adjustment. There was no evidence of sleep mediating the SES-hypertension relation.

CONCLUSIONS

Effective interventions to lower hypertension prevalence should consider targeting sleep quality. Future research should explore the intersectionality of SES and race in hypertension.

From the Workroom to the Bedroom: Work-to-Home Spillover as a Mechanism Linking Work Characteristics to Sleep Health

Work may influence the home domain and subsequently impact employee sleep. Past work found that negative spillover mediated the relationship between perceived unfairness about work and insomnia symptoms across 20 years. As an extension of past work, this study investigated whether negative spillover and positive spillover mediate the relationship between job demands (perceived unfairness, job discrimination) and job resources (coworker and supervisor support) on multidimensional sleep health. Two waves of survey data from a subset of full-time workers were obtained from the Midlife in the United States Study approximately 10 years apart. A sleep health composite captured irregularity, dissatisfaction, nap frequency, inefficiency, and suboptimal sleep duration (higher=more sleep health problems). PROCESS Macro evaluated cross-sectional (T1) and sequential (T1 exposureàT1 mediatoràT2 outcome) mediation pathways, adjusting for sociodemographic characteristics, physical health, neuroticism, and work hours. Both cross-sectionally and prospectively, higher negative spillover mediated the association of higher unfairness with more sleep health problems, and the association between higher discrimination and more sleep health problems. There was no support for positive spillover as a mediator between job resources and sleep health cross-sectionally or prospectively. Findings suggest that organizations should reduce the amount of negative spillover by limiting instances of unfairness and discrimination at work to promote specific aspects of employee sleep health such as sleep irregularity, dissatisfaction, efficiency, and nap frequency.

Poor Sleep is Common in Treatment-Resistant Late-life Depression and Associated With Poorer Antidepressant Response: Findings From the OPTIMUM Clinical Trial

BACKGROUND

Adults with treatment-resistant late-life depression (TRLLD) have high rates of sleep problems; however, little is known about the occurrence and change in sleep during pharmacotherapy of TRLLD. This analysis examined: (1) the occurrence of insufficient sleep among adults with TRLLD; (2) how sleep changed during pharmacotherapy; and (3) whether treatment outcomes differed among participants with persistent insufficient sleep, worsened sleep, improved sleep, or persistent sufficient sleep.

METHODS

Secondary analysis of data from 634 participants age 60+ years in the OPTIMUM clinical trial for TRLLD. Sleep was assessed using the sleep item from the Montgomery-Asberg Depression Rating Scale at the beginning (week-0) and end (week-10) of treatment. The analyses examined whether treatment outcomes differed among participants with persistent insufficient sleep, worsened sleep, improved sleep, or persistent sufficient sleep during depression treatment.

RESULTS

About half (51%, n = 323) of participants reported insufficient sleep at baseline. Both persistent insufficient sleep (25%, n = 158) and worsened sleep (10%, n = 62) during treatment were associated with antidepressant nonresponse. Participants who maintained sufficient sleep (26%, n = 164) or who improved their sleep (n = 25%, n = 158) were three times more likely to experience a depression response than those with persistent insufficient sleep or worsened sleep.

CONCLUSION

Insufficient sleep is common in TRLLD and it is associated with poorer treatment response to antidepressants.

Sleep disorders during the COVID-19 pandemic: Results from the second phase of web-based EPICOVID19 study

The COVID-19 pandemic has induced significant impairments, including sleep disturbances. The present study aimed to explore the impact of fear in relation to stress on sleep disorders among Italian adults and older participants in the second phase of the EPICOVID19 web-based survey (January-February 2021). Sleep disturbances during the pandemic were evaluated using the Jenkins Sleep Scale, perceived stress through the 10-item Perceived Stress Scale and fear of contagion and about economic and job situation with four ad hoc items. The strength of the pathways between stress, sleep disturbances and fear was explored using structural equation modelling, hypothesising that stress was related to sleep disturbances and that fear was associated with both stress and sleep problems. Out of 41,473 participants (74.7% women; mean age 49.7 ± 13.1 years), 8.1% reported sleep disturbances and were more frequently women, employed in a work category at risk of infection or unemployed, and showed higher deprivation scores. Considering an a priori hypotheses model defining sleep and stress scores as endogenous variables and fear as an exogenous variable, we found that fear was associated with sleep problems and stress, and stress was associated with sleep problems; almost half of the total impact of fear on sleep quality was mediated by stress. The impact of stress on sleep quality was more evident in the younger age group, among individuals with a lower socioeconomic status and healthcare workers. Fear related to COVID-19 seem to be associated with sleep disturbances directly and indirectly through stress.

Association of Birthplace for Sleep Duration, Sleep Quality, and Sleep Disorder Symptoms, at the US-Mexico Border

OBJECTIVES

The present study investigated the roles birthplace and acculturation play in sleep estimates among Hispanic/Latino population at the US-Mexico border.

MEASURES

Data were collected in 2016, from N = 100 adults of Mexican descent from the city of Nogales, AZ, at the US-Mexico border. Sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index categorized as none, mild, moderate, and severe, and Multivariable Apnea Prediction Index (MAP) categorized as never, infrequently, and frequently. Acculturation was measured with the Acculturation Rating Scale for Mexican-Americans II (ARSMA-II).

RESULTS

The sample consisted of majority Mexican-born (66%, vs. born in the USA 38.2%). Being born in the USA was associated with 55 fewer minutes of nighttime sleep (p = .011), and 1.65 greater PSQI score (p = .031). Compared to no symptoms, being born in the USA was associated with greater likelihood of severe difficulty falling asleep (OR = 8.3, p = .030) and severe difficulty staying asleep (OR = 11.2, p = .050), as well as decreased likelihood of breathing pauses during sleep (OR = 0.18, P = .020). These relationships remained significant after Mexican acculturation was entered in these models. However, greater Anglo acculturation appears to mediate one fewer hour of sleep per night, poorer sleep quality, and reporting of severe difficulty falling asleep and staying asleep.

CONCLUSIONS

Among individuals of Mexican descent, being born in the USA (vs Mexico) is associated with about 1 hour less sleep per night, worse sleep quality, more insomnia symptoms, and less mild sleep apnea symptoms. These relationships are influenced by acculturation, primarily the degree of Anglo rather than the degree of Mexican acculturation.

The prevalence and moderating factors of sleep disturbances in people living with HIV: a systematic review and meta-analysis

This systematic review and meta-analysis aimed to investigate the prevalence of self-reported sleep disturbances in people living with HIV considering the effects of age, depression, anxiety, CD4 cell counts, time since HIV diagnosis, study region, and the instruments used to measure sleep disturbances. We searched PubMed, PsycINFO, and EMBASE to include eligible articles. In this meta-analysis of 43 studies, the pooled prevalence of self-reported sleep disturbances was 52.29% (95% confidence interval 47.69-56.87). The subgroup analyses revealed that variations in the sleep measurements and study region significantly contributed to the observed heterogeneity. In the meta-regression analyses, higher proportions of participants with depression or anxiety and longer times since HIV diagnosis were significantly associated with a higher prevalence of self-reported sleep disturbances after adjusting for mean age. Our findings emphasise the substantial burden of sleep disturbances in people living with HIV and identified comorbid depression and anxiety and the time since HIV diagnosis as significant moderators. These results underscore the importance of considering these factors when designing tailored screening programmes for high-risk patients and implementing early interventions to prevent and mitigate sleep disturbances in people living with HIV.

Secular trends in sleep and circadian problems among adolescents in Hong Kong: From 2011-2012 to 2017-2019

OBJECTIVE

The study aimed to investigate secular trends in sleep and circadian problems in Hong Kong Chinese adolescents.

METHODS

This study analyzed cross-sectional data from two large-scale school-based sleep surveys conducted in 2011-2012 and 2017-2019. Sleep and circadian problems, including sleep-wake pattern, insomnia, chronotype, social jetlag, daytime sleepiness, and other sleep-related factors, were compared between two survey years.

RESULTS

A total of 8082 adolescents (5639 students in 2011-2012 [Mean age: 14.4 years, 50.9% boys] and 2443 students in 2017-2019 [Mean age: 14.7 years, 54.0% boys]) were included in this 7-year study. The average time in bed of Hong Kong adolescents decreased from 8.38 hours to 8.08 hours from 2011-2012 to 2017-2019. There was a 0.28-hour delay in weekday bedtime, 0.54-hour advance in weekend wake-up time, and a 0.36-hour decline in average time in bed, resulting in increased trends of sleep loss (Time in bed <8h: OR = 2.06, 95%CI: 1.44-2.93, p < 0.01; Time in bed <7h: OR = 2.73, 95%CI: 1.92-3.89, p < 0.01), daytime sleepiness (OR = 1.70, 95%CI: 1.34-2.16, p < 0.01), and evening chronotype (OR = 1.26, 95%CI: 1.08-1.48, p < 0.01). The increased trend in insomnia disorder, however, was insignificant when covariates were adjusted.

CONCLUSION

A secular trend of reduced time in bed, delay in weekday bedtime, advance in weekend wake-up time, increase in evening chronotype and daytime sleepiness from 2011-2012 to 2017-2019 were observed. There is a timely need for systematic intervention to promote sleep health in adolescents.

Financial Hardship and Sleep Quality Among Black American Women With and Without Systemic Lupus Erythematosus

OBJECTIVE

To compare dimensions of financial hardship and self-reported sleep quality among Black women with versus without systemic lupus erythematosus (SLE).

METHODS

Participants were 402 Black women (50% with validated diagnosis of SLE) living in Georgia between 2017 and 2020. Black women with SLE were recruited from a population-based cohort established in Atlanta, and Black women without SLE were recruited to be of comparable age and from the same geographic areas as SLE women. Financial hardship was measured using three different scales: financial adjustments, financial setbacks, and financial strain. Sleep was assessed continuously using the Pittsburgh Sleep Quality Index (PSQI) scale. Each dimension of financial hardship was analyzed separately in SLE-stratified multivariable linear regression models and adjusted by sociodemographic and health status factors.

RESULTS

Dimensions of financial hardship were similarly distributed across the two groups. Sleep quality was worse in Black women with, versus without, SLE (p < .001). Among Black women with SLE, financial adjustment was positively associated with a 0.40-unit increase in poor sleep quality (95% CI = 0.12-0.67, p = .005). When accounting for cognitive depressive symptoms, financial setbacks and strain were somewhat attenuated for Black women with SLE. Overall, no associations between financial hardships and sleep quality were observed for the women without SLE.

CONCLUSIONS

Black women with SLE who experience financial hardships may be more at risk for poor sleep quality than Black women without SLE. Economic interventions targeting this population may help improve their overall health and quality of life.

Ten-Year Stability of an Insomnia Sleeper Phenotype and Its Association With Chronic Conditions

OBJECTIVE

To identify distinct sleep health phenotypes in adults, examine transitions in sleep health phenotypes over time, and subsequently relate these to the risk of chronic conditions.

METHODS

A national sample of adults from the Midlife in the United States study ( N = 3683) provided longitudinal data with two time points (T1: 2004-2006, T2: 2013-2017). Participants self-reported on sleep health (regularity, satisfaction, alertness, efficiency, duration) and the number and type of chronic conditions. Covariates included age, sex, race, education, education, partnered status, number of children, work status, smoking, alcohol, and physical activity.

RESULTS

Latent transition analysis identified four sleep health phenotypes across both time points: good sleepers, insomnia sleepers, weekend catch-up sleepers, and nappers. Between T1 and T2, the majority (77%) maintained their phenotype, with the nappers and insomnia sleepers being the most stable. In fully adjusted models with good sleepers at both time points as the reference, being an insomnia sleeper at either time point was related to having an increased number of total chronic conditions by 28%-81% at T2, adjusting for T1 conditions. Insomnia sleepers at both time points were at 72%-188% higher risk for cardiovascular disease, diabetes, depression, and frailty. Being a napper at any time point related to increased risks for diabetes, cancer, and frailty. Being a weekend catch-up sleeper was not associated with chronic conditions. Those with lower education and unemployed were more likely to be insomnia sleepers; older adults and retirees were more likely to be nappers.

CONCLUSION

Findings indicate a heightened risk of chronic conditions involved in suboptimal sleep health phenotypes, mainly insomnia sleepers.

Perpetuating and protective factors in insomnia across racial/ethnic groups of veterans

Few studies have examined racial/ethnic differences in rates and correlates of insomnia among veterans. This study compared rates of insomnia and interest in sleep treatment among veterans of diverse racial/ethnic backgrounds. Consistent with the 3P model, we tested racial discrimination as a predictor of insomnia, with post-traumatic stress disorder symptoms and romantic partners as perpetuating and protective moderators of this association, respectively. A total of 325 veterans (N = 236 veterans of colour; 12% Asian, 36% Black, 14% Hispanic/Latine) completed questionnaires online from remote locations. Descriptive statistics were used to compare patterns across racial/ethnic groups. Linear regression was used to test moderators of the association between racial discrimination and insomnia severity. Overall, 68% of participants screened positive for insomnia: 90% of Asian; 79% of Hispanic/Latine; 65% of Black; and 58% of White participants. Of those, 74% reported interest in sleep treatment, and 76% of those with partners reported interest in including their partner in treatment. Racial discrimination and post-traumatic stress disorder were correlated with more severe insomnia, while romantic partners were correlated with less severe insomnia. Only post-traumatic stress disorder moderated the association between racial discrimination and insomnia severity. Rates of insomnia were highest among Asian and Hispanic/Latine participants, yet these groups were among the least likely to express interest in sleep treatment. Racial discrimination may exacerbate insomnia symptoms among veterans, but only among those who do not already have disturbed sleep in the context of post-traumatic stress disorder. Romantic partners may serve as a protective factor in insomnia, but do not seem to mitigate the impact of racial discrimination.

Predictors and disturbances of sleep quality between men and women: results from a cross-sectional study in Jordan

BACKGROUND

Sleep disturbances, a public health concern that may lead to critical physiological conditions, are associated with personal characteristics such as gender. Limited evidence is available from the Middle East population on the gender disparities in sleep quality. Therefore, the current study examined gender-specific differences in sleep quality and disturbances among Jordanian citizens.

METHOD

A cross-sectional design was used to recruit a convenient sample of 1,092 adults from different Jordanian cities. Data was collected using a self-reported questionnaire comprising the Pittsburgh Sleep Quality Index (PSQI), which was distributed online via social media networks. The participants were categorized according to their global PSQI scores into poor (PSQI ≥ 5) and good sleepers (PSQI < 5). The analysis focused on finding differences between women and men in terms of sleep quality and the effects of demographic, lifestyle, and socioeconomic factors on reported sleep problems.

RESULTS

Women were revealed to have a higher prevalence of all types of sleep disturbances than men. Women who were over 55 (compared to younger than 20 years), did not smoke, had multiple jobs or part-time employment (compared to unemployed women), and had a monthly income of more than 500 JD (compared to those with an income of < 500 JD) were less likely to experience poor sleep than other women. In contrast, men who neither smoked nor drank coffee, ate no sweets or only one to two pieces daily (compared to participants who ate more than two pieces daily), and worked fixed night shifts (compared to alternating shifts workers) were less likely to experience poor sleep than other men.

CONCLUSION

This study builds a more nuanced understanding of how different demographic, lifestyle, and socioeconomic factors - such as a participant's age, time of working duty, income, daily sweet consumption, daily caffeine consumption, and smoking - affect the sleep quality of men and women. Thus, promoting a healthier lifestyle for both genders by modifying risk factors - such as smoking cessation, as well as reducing their intake of caffeine and sweets - is the first step toward improving their sleep quality. Further studies are needed to examine how the social role of Arabic women affects their sleep.

The interaction between polygenic risk and environmental influences: A direct test of the 3P model of insomnia in adolescents

BACKGROUND

Stress is a universal phenomenon and one of the most common precipitants of insomnia. However, not everyone develops insomnia after experiencing a stressful life event. This study aims to test aspects of Spielman's '3P model of insomnia' (during adolescence) by exploring the extent to which: (a) insomnia symptoms are predicted by polygenic scores (PGS); (b) life events predict insomnia symptoms; (c) the interaction between PGS and life events contribute to the prediction of insomnia symptoms; (d) gene-environment interaction effects remain after controlling for sex.

METHODS

The sample comprised 4,629 twins aged 16 from the Twin Early Development Study who reported on their insomnia symptoms and life events. PGS for insomnia were calculated. In order to test the main hypothesis of this study (a significant interaction between PGS and negative life events), we fitted a series of mixed effect regressions.

RESULTS

The best fit was provided by the model including sex, PGS for insomnia, negative life events, and their interactions (AIC = 26,158.7). Our results show that the association between insomnia symptoms and negative life events is stronger for those with a higher genetic risk for insomnia.

CONCLUSIONS

This work sheds light on the complex relationship between genetic and environmental factors implicated for insomnia. This study has tested for the first time the interaction between genetic predisposition (PGS) for insomnia and environmental stressors (negative life events) in adolescents. This work represents a direct test of components of Spielman's 3P model for insomnia which is supported by our results.

Trends in sleep duration in the U.S. from 2004 to 2018: A decomposition analysis

Average sleep duration in the United States declined in recent years, and the decline may be linked with many biopsychosocial factors. We examine how a set of biopsychosocial factors have differentially contributed to the temporal trends in self-reported sleep duration across racial groups between 2004-2005 and 2017-2018. Using repeated nationally representative cross-sections from the National Health Interview Survey, we decompose the influence of biopsychosocial factors on sleep duration trends into two components. One component corresponds to coefficient changes (i.e., changes in the associations between behaviors or exposures and sleep duration) of key biopsychosocial factors, and the other part accounts for the compositional changes (i.e., changes in the distributions of exposures) in these biopsychosocial factors during the study period. We reveal that changes in the coefficients of some biopsychosocial factors are more important than compositional changes in explaining the decline in sleep duration within each racial/ethnic group. Our findings highlight racial differences manifest across multiple biopsychosocial domains that are shifting in terms of association and composition. Methodologically, we note that the standard regression approach for analyzing temporal trends neglects the role of coefficient changes over time and is thus insufficient for fully capturing how biopsychosocial factors may have influenced the temporal patterns in sleep duration and related health outcomes.

Sleep and childhood maltreatment: A matched-control study of sleep characteristics in Norwegian 16-19-year-olds

Sleep problems are an important but understudied health problem in adolescents exposed to childhood maltreatment. The current study aimed to examine sleep characteristics and insomnia in a population with maltreatment history and compare them to a general population sample of adolescents. Data from a sample of Norwegian 16-19-year-old adolescents with childhood maltreatment experiences (n = 62) were linked to an age- and sex-matched general population sample (n = 238). Independent samples t tests were used to compare the two groups on several detailed sleep parameters, while general linear models were used to control for mental health problems, assessed by the Strengths and Difficulties Questionnaire. Mental health was examined as a potential mediator between childhood maltreatment and sleep characteristics. Adolescents exposed to childhood maltreatment had longer sleep onset latency (1:15 h vs. 47 min, p < 0.001), longer wake after sleep onset (34 min vs. 15 min, p < 0.003), lower sleep efficiency in weekdays (77.8%, vs. 85%, p < 0.007), and lower sleep efficiency in weekends (81.8% vs. 88.9%, p < 0.001) than the reference group. Mental health problems fully mediated the association between childhood maltreatment exposure and longer sleep onset latency and wake after sleep onset. The rate of insomnia did not significantly differ between the groups. This study suggests that older adolescents exposed to childhood maltreatment have more sleep problems than the general adolescent population, and that these problems may be explained by co-existing mental health problems. These findings highlight the potential utility of assessing and providing sleep-focused treatment to adolescents with a history of childhood maltreatment and mental health problems.

The moderating role of trait and state mindfulness between daily sleep and physical pain symptoms: an ecological momentary assessment and actigraphy study

Objective: Poorer sleep quality and insufficient sleep increase the risk of physical pain. The current study examined the daily associations between sleep and physical pain symptoms and tested the moderating role of trait and state mindfulness in this relationship. Methods: Sixty hospital nurses (Mage=35.4 ± 11.8 years) completed 14-day ecological momentary assessment (EMA) and sleep actigraphy. EMA measured physical pain frequency and interference (1×/day) and state mindfulness (3×/day). Multilevel modelling was used to examine the associations at the between-person and within-person levels. Results: After nights with poorer sleep quality, lower sleep sufficiency, and more insomnia symptoms, the frequency of physical pain symptoms and pain interference were greater than usual. Overall, those with poorer sleep quality, lower sleep sufficiency, and more insomnia symptoms reported more physical pain symptoms and greater pain interference. Higher state mindfulness buffered the negative within-person association between sleep efficiency and physical pain frequency. There was evidence that the joint moderating effects of trait and state mindfulness yielded more protective benefits in the relationship between sleep quality and physical pain than trait or state mindfulness alone. Conclusion: Even without mindfulness training, one's mindfulness may be protective against the adverse effects of poor sleep quality on physical pain.

The labour market returns to sleep

Despite the growing prevalence of insufficient sleep among individuals, we still know little about the labour market return to sleep. To address this gap, we use longitudinal data from Germany and leverage exogenous fluctuations in sleep duration caused by variations in time and local sunset times. Our findings reveal that a one-hour increase in weekly sleep is associated with a 1.6 percentage point rise in employment and a 3.4% increase in weekly earnings. Such effect on earnings stems from productivity improvements given that the number of working hours decreases with longer sleep duration. We also identify a key mechanism driving these effects, namely the enhanced mental well-being experienced by individuals who sleep longer hours.

Impaired sleep, multimorbidity, and self-rated health among Canadians: Findings from a nationally representative survey

Background

Self-rated health (SRH) is a globally recognized measure of health status. Both impaired sleep (IS) and the presence of multimorbidity are related to poorer SRH, but the precise nature of these associations remains unclear. This study explored the association between IS, multimorbidity, and SRH among Canadian adults.

Method

We used 2017-18 Canadian Community Health Survey (CCHS) data for this study. The main variable of interest, self-rated health (SRH), measured participants' health on a 5-point Likert scale, later categorized as "good or better" vs. "fair or poor". The primary predictor, IS, was derived from two variables and categorized into four groups: no sleep issues; fewer sleeping hours (<7 hours) only; trouble sleeping only; and fewer hours & trouble sleeping. Multimorbidity was present (yes/no) if a participant indicated being diagnosed with two or more chronic conditions.

Results

Just over one in ten Canadians reported fair/poor SRH and approximately one-quarter had multimorbidity or experienced few sleep hours in combination with trouble sleeping. The adjusted model indicated greater odds of fair/poor SRH associated with the 40-64 years age group, male sex, and lower socio-economic status. It also suggested the presence of multimorbidity (AOR= 4.63, 95% CI: 4.06-5.28) and a combination of fewer sleep hours and troubled sleep (AOR= 4.05, 95% CI: 2.86-5.74) is responsible for poor SRH. Forty-four percent of the total effect of IS on SRH was mediated by multimorbidity.

Conclusion

This unique finding highlights the mediating role of multimorbidity, emphasizing the importance of addressing it alongside sleep issues for optimal health outcomes.

Catch-up sleep on free days and body mass index: results from the seventh Korea National Health and Nutrition Examination Survey, 2016

STUDY OBJECTIVES

We aimed to identify the relationship between duration of categorized catch-up sleep on free days (CUS) and measured body mass index (BMI) in adults using the data from the seventh Korean National Health and Nutrition Examination Survey (KNHANES VII), 2016.

METHODS

CUS duration was classified as ≤ 0, > 0-1, > 1-2, and > 2 hours. Being overweight or obese was defined as having a BMI ≥ 25.0 kg/m2 or ≥ 30.0 kg/m2, respectively.

RESULTS

Of 6,382 participants aged 19-80 years in the KNHANES VII survey of 2016, 201 and 583 participants were excluded because of shift-working and insufficient data, respectively. Of 5,598 participants, CUS was observed in 2,274 (44.9%) participants, of which 3,324 (55.1%), 1,043 (19.4%), 724 (14.7%), and 507 (10.8%) had CUS of ≤ 0, > 0-1, > 1-2, and > 2 hours, respectively; the prevalence of obesity was 5.6%, 5.6%, 4.8%, and 6.1%, respectively. The association between BMI and CUS duration showed a significant negative association in the CUS ≤ 0 hours group (beta [95% confidence interval], -0.394 [-0.646, -0.143], P = .002); however, other CUS groups did not show any significant association with BMI (CUS > 0-1 hours: -0.196 [-1.258, 0.865], P = .716; CUS > 1-2 hours, -0.542 [-1.625, 0.541], P = .325; CUS > 2 hours, -0.113 [-0.459, 0.233], P = .519).

CONCLUSIONS

Our findings provide an understanding of the relationship between CUS and BMI and can serve as an instructive basis for the management of BMI.

CITATION

Lee HJ, Cho S, Lee SH, Kim SJ, Kim KM, Chu MK. Catch-up sleep on free days and body mass index: results from the seventh Korea National Health and Nutrition Examination Survey, 2016. J Clin Sleep Med. 2024;20(1):39-47.

The association between wealth and sleep medication use in a nationally-representative sample of older Medicare beneficiaries

BACKGROUND

Sleep disorders are common among older adults, leading to high prevalence of over-the-counter and prescription sleep medication use. Socioeconomically disadvantaged individuals have higher prevalence of sleep disorders. Frequent use of sleep medications can increase the risk of falls. Little is known about the association between wealth and sleep medication use in older adults.

METHODS

We conducted a cross-sectional analysis using a nationwide sample of 7603 Medicare beneficiaries (65+ years) from Round 1 (2011) of the National Health and Aging Trends Study. We measured self-reported wealth as the sum of assets (retirement savings, stocks/bonds, checking/savings accounts, business assets, and home value) minus liabilities (mortgage, credit card, and medical debt). Self-reported sleep medication use in the past month was categorized as frequent (5-7 nights/week), sometimes (1-4 nights/week), or never (0 night/week). We estimated differences in the prevalence of sleep medication use by quintiles of wealth using crude and adjusted binomial regression models. Individuals missing sleep medication information were excluded.

RESULTS

Median wealth was $152 582 (IQR: $24 023-412 992). Sixteen percent reported frequent sleep medication use, 15% reported some use, and 70% reported no use. Frequent sleep medication use was more common in lower wealth quintiles (lowest: 20%, highest: 12%). Alternatively, some use was more common in higher wealth quintiles (lowest: 11%, highest: 18%). Results were similar after adjustment for demographic factors, anxiety, depression, and sleep disorders.

CONCLUSIONS

In this study, less wealthy older adults had higher prevalence of frequent sleep medication use. This may lead to dependency or increased fall risk in this vulnerable population.

Diet quality in young adulthood and sleep at midlife: a prospective analysis in the Bogalusa Heart Study

Background

Diet and sleep are both established risk factors for cardiometabolic diseases. Prior evidence suggests a potential link between these behaviors, though evidence for how they associate with each is scarce. This study aimed to determine the association between diet quality in young adulthood and multiple sleep outcomes at midlife in the Bogalusa Heart Study (BHS).

Methods

This prospective study included 593 BHS subjects with dietary assessment at the 2001-2002 visit and sleep questionnaire responses from the 2013-2016 visit, after an average of 12.7 years (baseline mean age: 36 years, 36% male, 70%/30% White and Black persons). A culturally tailored, validated food frequency questionnaire assessed usual diet. Diet quality was measured with the Alternate Healthy Eating Index (AHEI) 2010, the Healthy Eating Index (HEI) 2015, and the alternate Mediterranean (aMed) dietary score. Robust Poisson regression with log-link function estimated risk ratios (RR) for insomnia symptoms, high sleep apnea score, and having a healthy sleep pattern by quintile and per standard deviation (SD) increase in dietary patterns. Models adjusted for potential confounders including multi-level socioeconomic factors, depression, and body mass index. Trends across quintiles and effect modification by sex, race, and education were tested.

Results

Higher diet quality in young adulthood, measured by both AHEI and HEI, was associated with lower risk of having insomnia symptoms at midlife. In the adjusted model, each SD-increase in AHEI (7.8 points; 7% of score range) conferred 15% lower risk of insomnia symptoms at follow-up (RR [95% confidence interval CI]: 0.85 [0.77, 0.93]), those in Q5 of AHEI had 0.54 times the risk as those in Q1 (95% CI: 0.39, 0.75), and there was a significant decreasing risk trend across quintiles (trend p = 0.001). There were no significant associations between young adult diet quality and having a high sleep apnea risk or a healthy sleep pattern at follow-up.

Conclusions

A healthy diet was associated with a lower risk of future insomnia symptoms. If replicated, these findings could have implications for chronic disease prevention strategies incorporating the lifestyle behaviors of sleep and diet.

Berry Consumption and Sleep in the Adult US General Population: Results from the National Health and Nutrition Examination Survey 2005-2018

INTRODUCTION

Poor sleep is associated with numerous adverse health outcomes. Berries are rich in micronutrients and antioxidants that may improve sleep quality and duration. We determined the association of berry consumption and sleep duration and sleep difficulty among adult participants in NHANES.

METHODS

We analyzed the diet of US adults aged ≥ 20 y using two non-consecutive 24 h recalls from the National Health and Nutrition Examination Survey 2005 to 2018 (N = 29,217). Poor sleep quality was measured by sleep duration (short sleep duration: <7 h), long sleep (≥9 h), and reported sleep difficulty. The relative risk of poor sleep outcomes for berry consumers vs. nonconsumers was modelled using population weight-adjusted multivariable general logistic regression.

RESULTS

About 46% of participants reported inadequate sleep duration, and 27% reported sleep difficulties. Twenty-two percent reported consuming berries. Berry consumers had a 10-17% decreased risk of short sleep. The findings were consistent for specific berry types including strawberries and blueberries (p < 0.05). No significant associations with long sleep were found for total berries and any berry types. A decreased risk of sleep difficulties was found to be linked to blackberry consumption (adjusted OR = 0.63, 95% CI: 0.40-0.97; p = 0.036) but not for other berries.

CONCLUSIONS

US adult berry consumers had a decreased risk of reporting short sleep compared to nonconsumers. Berries are underconsumed foods in the US adult population, and increased berry consumption may improve sleep quality.

Does alleviating poverty increase cognitive performance? Short- and long-term evidence from a randomized controlled trial

In this Registered Report, we investigated the impact of a cash transfer based poverty alleviation program on cognitive performance. We analyzed data from a randomized controlled trial conducted on low-income, high-risk individuals in Liberia where a random half of the participants (n = 251) received a $200 lump-sum unconditional cash transfer - equivalent approximately to 300% of their monthly income - while the other half (n = 222) did not. We tested both the short-term (2-5 weeks) and the long-term (12-13 months) impact of the treatment via several executive function measures. The observed effect sizes of cash transfers on cognitive performance (b = .13 for the short- and b = .08 for the long-term) were roughly three and four times smaller than suggested by prior non-randomized research. Bayesian analyses revealed that the overall evidence supporting the existence of these effects is inconclusive. A multiverse analysis showed that neither alternative analytical specifications nor alternative processing of the dataset changed the results consistently. However cognitive performance varied between the executive function measures, suggesting that cash transfers may affect the subcomponents of executive function differently.

The Association Between Race, Ethnicity and Sleep Quality and Duration: A National Health Interview Survey Study

BACKGROUND

Inadequate sleep duration and poor sleep quality are associated with adverse cardiovascular outcomes.

METHODS

Using data from the National Health Interview Survey, we compared self-reported sleep duration and quality among different groups: Whites, Chinese, Asian Indian, Filipino, and Other Asians. Outcome included Sleep duration (≥7 and <7 hours) and sleep quality (coded as a binary variable).

RESULTS

We included 155,203 participants. The overall prevalence of ≥7 hours of sleep was 69.5% and poor sleep quality was reported by 73.9%. Compared to Whites and Chinese, Filipinos, and Other Asians were less likely to get adequate sleep (≥7 hours). All 4 Asian groups were less likely to report poor sleep quality compared with White individuals, while Asian Indians reported poor sleep quality less frequently compared with Chinese individuals.

CONCLUSION

There are significant differences in sleep duration and quality between White and Asian groups, as well as within Asian subgroups. Further studies with disaggregated Asian subgroup data are needed to formally study these disparities.

Examining the barriers and recommendations for integrating more equitable insomnia treatment options in primary care

Chronic insomnia is the most common sleep disorder, occurring in ~32 million people in the United States per annum. Acute insomnia is even more prevalent, affecting nearly half of adults at some point each year. The prevalence of insomnia among primary care patients is even higher. The problem, however, is that most primary care providers do not feel adequately knowledgeable or equipped to treat sleep-related concerns. Many providers have never heard of or have not been trained in cognitive behavioral therapy for insomnia or CBT-I (the first line treatment for insomnia). The focus of the current review is to summarize the factors contributing to why sleep health and insomnia treatment have been mostly neglected, identify how this has contributed to disparities in sleep health among certain groups, particularly racial and ethnic minorities and discuss considerations or potential areas of exploration that may improve access to behavioral sleep health interventions, particularly in primary care.

Predicting future sleep problems in young autistic children

LAY ABSTRACT

Sleep problems are common in autistic children and negatively impact daytime functioning. A method for predicting sleep problems could help with treatment and prevention of such problems. This study aimed to determine predictors of sleep problems among young autistic children. Study participants consisted of autistic children aged 2-5 years who did not have sleep problems at a first visit (Autism Treatment Network Registry) and had sleep data available at a subsequent visit (Registry Call-Back Assessment study). Sleep problems for five study cohorts of children were defined by different methods, including parent questionnaires and parent- or clinician-report of sleep problems. We found that self-injurious behavior, sensory issues, dental problems, and lower primary caregiver education level were significant risk factors of future sleep problems. These predictors may help clinicians provide prevention or earlier treatment for children who are at risk of developing sleep problems.

Increased risk of sleep problems according to employment precariousness among paid employees in Korea

BACKGROUND

This study aimed to investigate the relationship between precarious employment (PE) and sleep problems among wage workers in Korea.

METHODS

Data from 29,437 wage workers were obtained from the 6th Korean Working Conditions Survey. PE was defined based on four dimensions: employment temporariness, irregularity, lack of protection, and economic vulnerability. A PE index indicating employment precariousness was derived. The outcome variables were three sleep problems experienced over the past year: difficulty initiating asleep; difficulty maintaining sleep' and fatigue upon waking. Multiple logistic regression was performed after adjusting for age, educational level, occupation, job tenure, company size, and working hours, to estimate the association between PE and sleep problems.

RESULTS

For both sexes, the risk of all sleep problems significantly increased as the precariousness of employment increased, showing a dose-response relationship.

CONCLUSION

An increased risk of sleep problems is evident as employment becomes more precarious. These findings could help improve the health of workers with PE by addressing sleep problems.

Racial and Ethnic Differences in Sleep Duration Life Expectancies among Men and Women in Mid-to-Late Life

This analysis documents U.S. racial/ethnic and gender differences in life expectancies with different self-reported sleep durations among adults aged 50 and older. We used self-reported sleep duration and linked mortality information from the 2004-2015 National Health Interview Survey (n = 145,015) to calculate Sullivan Method Lifetables for life expectancies with different self-reported sleep duration states: short (≤6 hours), optimal (seven to 8 hours), and long (≥9 hours) sleep duration per-day by race/ethnicity and gender. Non-Hispanic Black men (35.8%, 95% CI: 34.8%-36.8%) and women (36.5%, 95% CI: 35.7%-37.1%) exhibited the highest proportion of years lived with short sleep duration followed by Hispanic men (31.1%, 95% CI: 29.9%-32.3%) and women (34.1%, 95% CI: 33.1%-35.1%) and Non-Hispanic White men (25.8%, 95% CI: 25.4%-26.2%) and women (27.4%, 95% CI: 27.0%-27.7%). These results highlight how race/ethnic inequality in sleep duration and life expectancy are intertwined among older adults in the U.S.

Psychosocial and health stressors during the COVID-19 pandemic and their association with sleep quality

OBJECTIVE

We investigated how psychosocial and health stressors and related cognitive-affective factors were differentially associated with sleep quality during the early months of the COVID-19 pandemic.

METHODS AND MEASURES

Adults living in Florida (n = 2,152) completed a Qualtrics survey in April-May 2020 (Wave 1). Participants (n = 831) were reassessed one month later (Wave 2; May-June 2020). At Wave 1, participants reported their level of physical contact with someone they care about, presence of a pre-existing chronic disease, employment status, loneliness, health worry, and financial distress. At Wave 2, participants rated their quality of sleep and insomnia symptoms.

RESULTS

Loneliness, but not health worry or financial distress, directly predicted worse sleep quality. Lack of physical contact was indirectly associated with worse sleep quality via greater levels of loneliness. Further, results showed the presence of a pre-existing chronic disease was associated with both greater health worry and worse sleep quality.

CONCLUSION

Loneliness was the sole cognitive-affective predictor of worse sleep quality when controlling for other psychosocial factors. As expected, adults living with a chronic disease reported impaired sleep quality. Understanding the processes influencing sleep quality during a significant time of stress is important for identifying risk factors, informing treatment, and improving sleep health beyond the pandemic.

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.

African American race is associated with worse sleep quality in heavy smokers

STUDY OBJECTIVES

To examine the association of self-identified race with sleep quality in heavy smokers.

METHODS

We studied baseline data from 1965 non-Hispanic White and 462 African American participants from SPIROMICS with ≥ 20 pack-years smoking history. We first examined the Pittsburgh Sleep Quality Index's (PSQI) internal consistency and item-total correlation in a population with chronic obstructive pulmonary disease. We then used staged multivariable regression to investigate the association of race and sleep quality as measured by the PSQI) The first model included demographics, the second added measures of health status, and the third, indicators of socioeconomic status. We next explored the correlation between sleep quality with 6-minute walk distance and St. George's Respiratory Questionnaire score as chronic obstructive pulmonary disease-relevant outcomes. We tested for interactions between self-identified race and the most important determinants of sleep quality in our conceptual model.

RESULTS

We found that the PSQI had good internal consistency and item-total correlation in our study population of heavy smokers with and without chronic obstructive pulmonary disease. African American race was associated with increased PSQI in univariable analysis and after adjustment for demographics, health status, and socioenvironmental exposures (P = .02; 0.44 95%CI: .06 to .83). Increased PSQI was associated with higher postbronchodilator forced expiratory volume in 1 second and lower household income, higher depressive symptoms, and female sex. We identified an interaction wherein depressive symptoms had a greater impact on PSQI score for non-Hispanic White than African American participants (P for interaction = .01).

CONCLUSIONS

In heavy smokers, self-reported African American race is independently associated with worse sleep quality.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: Study of COPD Subgroups and Biomarkers (SPIROMICS); URL: https://clinicaltrials.gov/ct2/show/NCT01969344; Identifier: NCT01969344.

CITATION

Baugh AD, Acho M, Arhin A, et al. African American race is associated with worse sleep quality in heavy smokers. J Clin Sleep Med. 2023;19(8):1523-1532.

Association between hemoglobin adducts of ethylene oxide levels and the risk of short sleep duration in the general population: an analysis based on the National Health and Nutrition Examination Survey

This study aimed to evaluate the association between blood ethylene oxide (HbEtO) levels and short sleep duration (SSD). Data of 3438 participants aged 20 years or older in this study were collected from the National Health and Nutrition Examination Survey (NHANES). The ethylene oxide (EtO) biomarker (HbEtO) was quantified in blood using a high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method. SSD was defined as sleep time equal to or less than 6 h. The analyses utilized weighted logistic regression models and restricted cubic spline. There was a significant non-linear relationship between HbEtO levels and the risk of SSD (P for-nonlinearity = 0.035). After the full adjustment for confounders, compared with the lowest quantile, the odds ratios (ORs) with 95% confidence intervals (CIs) of SSD across the quantiles of ethylene oxide levels were 1.54(1.09-2.18), 1.15(0.87-1.53), and 1.80(1.11-2.92), respectively (P for trend < 0.05). In subgroup analysis, people who were female, who were non-Hispanic Black, who never engaged in physical activity, who consumed alcohol ≤ 14 g/day, who were normal weight or obese had a significantly higher risk of SSD when they had highest quartiles of HbEtO levels than those had lowest (p < 0.05). Our study indicated that HbEtO levels, an indicator for EtO exposure, were associated with SSD in general adult populations.

Toward precision sleep medicine: variations in sleep outcomes among disaggregated Asian Americans in the National Health Interview Survey (2006-2018)

STUDY OBJECTIVES

Asian Americans report higher rates of insufficient sleep than non-Hispanic Whites (NHWs). It is unclear how sleep outcomes differ among disaggregated Asian subgroups.

METHODS

The National Health Interview Survey (2006-2018) was used to analyze self-reported sleep duration and quality measures for Asian American subgroups (Chinese [n = 11,056], Asian Indian [n = 11,249], Filipino [n = 13,211], and other Asians [n = 21,767]). Outcomes included hours of sleep per day, the number of days reporting trouble falling asleep, staying asleep, waking up rested, and taking sleep medication in the past week. Subsetted multivariate logistic regression was used to assess factors impacting sleep outcomes by ethnicity.

RESULTS

29.2% of NHWs, 26.4% of Chinese, 24.5% of Asian Indians, and 38.4% of Filipinos reported insufficient sleep duration. Filipinos were less likely to report sufficient sleep duration (odds ratio 0.55, [confidence interval 95% 0.50-0.59]) and more likely to report trouble falling asleep (1.16 [1.01-1.33]) than NHWs. Chinese and Asian Indians had less trouble staying asleep (0.67 [0.58-0.77], 0.51 [0.44-0.59]) and falling asleep (0.77 [0.66-0.89], 0.72, [0.62-0.82]) than NHWs, and Asian Indians were more likely to wake feeling well rested (1.66 [1.48-1.87]). All Asian subgroups were less likely to report using sleep medications than NHWs. Foreign-born status had a negative association with sufficient sleep duration in Filipinos but a positive association in Asian Indians and Chinese.

CONCLUSIONS

Filipinos report the highest burden of poor sleep outcomes, and Asian Indians report significantly better sleep outcomes. These findings highlight the importance of disaggregating Asian ethnic subgroups to address their health needs.

CITATION

Wang RZ, Jamal A, Wang Z, et al. Toward precision sleep medicine: variations in sleep outcomes among disaggregated Asian Americans in the National Health Interview Survey (2006-2018). J Clin Sleep Med. 2023;19(7):1259-1270.

Socialization, Relaxation, and Leisure across the Day by Social Determinants of Health: Results from the American Time Use Survey, 2014-2016

This study used the American Time Use Survey (ATUS) to examine socialization, relaxation, and leisure activities throughout the day as related to social determinants of health (SDOH). The study population was adults aged 25 years and older who participated in the ATUS in 2014-2016, the most recent years for collecting SDOH. Descriptive analyses provide characteristics of the study population. Graphical analyses display socialization by SDOH across the hours of the day based on adjusted regression models. Quasi-binomial models analyzed the association between the numbers of minutes of various activities and SDOH. Associations between SDOH and sleeplessness (yes or no) were explored using logistic regression. For much of the day, being female, having less education, living in poverty, and having food insecurity were associated with more time socializing and relaxing. The major activities under socializing and relaxation are watching television and movies. Having a college degree was strongly associated with increased minutes of sports activity, whereas living in poverty and food insecurity were associated with fewer minutes. Less education, living in poverty, and having food insecurity were associated with sleeplessness. A possible mechanism of the effects of SODH on health is by its altering of the patterns of daily life.

Development and Temporal Validation of an Electronic Medical Record-Based Insomnia Prediction Model Using Data from a Statewide Health Information Exchange

This study aimed to develop and temporally validate an electronic medical record (EMR)-based insomnia prediction model. In this nested case-control study, we analyzed EMR data from 2011-2018 obtained from a statewide health information exchange. The study sample included 19,843 insomnia cases and 19,843 controls matched by age, sex, and race. Models using different ML techniques were trained to predict insomnia using demographics, diagnosis, and medication order data from two surveillance periods: -1 to -365 days and -180 to -365 days before the first documentation of insomnia. Separate models were also trained with patient data from three time periods (2011-2013, 2011-2015, and 2011-2017). After selecting the best model, predictive performance was evaluated on holdout patients as well as patients from subsequent years to assess the temporal validity of the models. An extreme gradient boosting (XGBoost) model outperformed all other classifiers. XGboost models trained on 2011-2017 data from -1 to -365 and -180 to -365 days before index had AUCs of 0.80 (SD 0.005) and 0.70 (SD 0.006), respectively, on the holdout set. On patients with data from subsequent years, a drop of at most 4% in AUC is observed for all models, even when there is a five-year difference between the collection period of the training and the temporal validation data. The proposed EMR-based prediction models can be used to identify insomnia up to six months before clinical detection. These models may provide an inexpensive, scalable, and longitudinally viable method to screen for individuals at high risk of insomnia.

Long-term exposure to ambient air pollutants and their interaction with physical activity on insomnia: A prospective cohort study

Exposure to air pollution or lack of physical activity (PA) increases the risk of insomnia. However, evidence on joint exposure to air pollutants is limited, and the interaction of joint air pollutants and PA on insomnia is unknown. This prospective cohort study included 40,315 participants with related data from the UK Biobank, which recruited participants from 2006 to 2010. Insomnia was assessed by self-reported symptoms. The annual average air pollutant concentrations of particulate matter (PM_2.5, PM₁₀), nitrogen oxides (NO₂, NO_X), sulfur dioxide (SO₂) and carbon monoxide (CO) were calculated based on participants' addresses. We applied a weighted Cox regression model to evaluate the correlation between air pollutants and insomnia and newly proposed an air pollution score to assess joint air pollutants effect using a weighted concentration summation after obtaining the weights of each pollutant in the Weighted-quantile sum regression. With a median follow-up of 8.7 years, 8511 participants developed insomnia. For each 10 μg/m³ increase in NO₂, NO_X, PM₁₀, SO₂, the average hazard ratios (AHRs) and 95% confidence interval (CI) of insomnia were 1.10 (1.06, 1.14), 1.06 (1.04, 1.08), 1.35 (1.25, 1.45) and 2.58 (2.31, 2.89), respectively; For each 5 μg/m³ increase in PM_2.5 and each 1 mg/m³ increase in CO, the corresponding AHRs (95%CI) were 1.27 (1.21, 1.34) and 1.83 (1.10, 3.04), respectively. The AHR (95%CI) for insomnia associated with per interquartile range (IQR) increase in air pollution scores were 1.20 (1.15, 1.23). In addition, potential interactions were examined by setting cross-product terms of air pollution score with PA in the models. We observed an interaction between air pollution scores and PA (P = 0.032). The associations between joint air pollutants and insomnia were attenuated among participants with higher PA. Our study provides evidence on developing strategies for improving healthy sleep by promoting PA and reducing air pollution.

Associations of sleep quality with the skeletal muscle strength in patients with type 2 diabetes with poor glycemic control

AIMS/INTRODUCTION

Patients with type 2 diabetes mellitus are reported to be at a high risk for sarcopenia, and are known to have a poorer sleep quality. However, the association between sleep quality and skeletal muscle in patients with type 2 diabetes mellitus is not yet precisely understood.

MATERIALS AND METHODS

A total of 110 inpatients with type 2 diabetes mellitus aged 40-90 years were enrolled. The sleep quality was assessed using the Pittsburgh sleep quality index (PSQI). Skeletal muscle mass was measured using bioelectrical impedance analysis. Muscle strength was evaluated by measuring the grip strength. We also performed dietary surveys and measurements of the plasma amino acid levels.

RESULTS

A high total score on the PSQI was significantly associated with reduced muscle strength, and the association persisted even after adjustments for confounders. On the other hand, adjusted analysis did not reveal any significant associations between the PSQI total score and the skeletal muscle mass. In regard to the associations with subscores of the PSQI, the scores for sleep latency, sleep efficiency, and daytime dysfunction were significantly negatively associated with the muscle strength. Although poor sleep quality was associated with a high confectionery intake and low plasma arginine, citrulline, and ornithine levels, neither confectionery intake levels nor the plasma levels of these amino acids was associated with the muscle strength.

CONCLUSIONS

Our study revealed a significant association between the sleep quality and muscle strength in patients with type 2 diabetes mellitus. These results suggest that poor sleep quality is an important risk factor for sarcopenia in patients with type 2 diabetes mellitus.

Bedtime procrastination mediates the relation between anxiety and sleep problems

The prevalence of sleep problems is high in primary care patients and in anxious individuals. This study assessed whether total sleep time and bedtime procrastination mediated the association between anxiety and sleep problems. We predicted higher anxiety would be negatively associated with total sleep time and positively associated with bedtime procrastination and sleep problems, and these variables would statistically mediate the association between anxiety and sleep problems. Participants were 308 adult primary care patients, predominantly female (non-Hispanic White = 158, Latinx = 111, mean age = 33.30), who initiated behavioral health services at an integrated primary care clinic. Patients completed a questionnaire regarding psychological health and sleep behaviors. Using structural equation modeling, we found higher anxiety related to higher sleep problems, partially mediated by bedtime procrastination but not total sleep time. This study highlights related factors like anxiety and prebedtime behaviors that may be effective treatment targets for sleep challenges.

Youth-onset type 2 diabetes mellitus: an urgent challenge

The incidence and prevalence of youth-onset type 2 diabetes mellitus (T2DM) and its complications are increasing worldwide. Youth-onset T2DM has been reported in all racial and ethnic groups, but Indigenous peoples and people of colour are disproportionately affected. People with youth-onset T2DM often have a more aggressive clinical course than those with adult-onset T2DM or those with type 1 diabetes mellitus. Moreover, the available treatment options for children and adolescents with T2DM are more limited than for adult patients. Intermediate complications of youth-onset T2DM, such as increased albuminuria, often develop in late childhood or early adulthood, and end-stage complications, including kidney failure, develop in mid-life. The increasing frequency, earlier onset and greater severity of childhood obesity in the past 50 years together with increasingly sedentary lifestyles and an increasing frequency of intrauterine exposure to diabetes are important drivers of the epidemic of youth-onset T2DM. The particularly high risk of the disease in historically disadvantaged populations suggests an important contribution of social and environmental factors, including limited access to high-quality health care, healthy food choices and opportunities for physical activity as well as exposure to stressors including systemic racism and environmental pollutants. Understanding the mechanisms that underlie the development and aggressive clinical course of youth-onset T2DM is key to identifying successful prevention and management strategies.

Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research

STUDY OBJECTIVES

This review aims to assess the association between socioeconomic status (SES) and sleep health in the general population and the mediating effects of lifestyle and mental and physical health in this relationship.

METHODS

Observational studies testing the independent association between objective or subjective SES indicators and behavioral/physiological or clinical sleep health variables in the general population were included. PubMed/MEDLINE was searched for reports published from January 1990 to December 2019. The direction of effect was used as the primary effect measure, testing the hypothesis that low SES is associated with poor sleep health outcomes. Results are presented in the form of direction effect plots and synthesized as binomial proportions.

RESULTS

Overall, 336 studies were identified. A high proportion of effects at the expected direction was noted for measures of sleep continuity (100% for sleep latency, 50-100% for awakenings, 66.7-100% for sleep efficiency), symptoms of disturbed sleep (75-94.1% for insomnia, 66.7-100% for sleep-disordered breathing, 60-100% for hypersomnia), and general sleep satisfaction (62.5-100%), while the effect on sleep duration was inconsistent and depended on the specific SES variable (92.3% for subjective SES, 31.7% for employment status). Lifestyle habits, chronic illnesses, and psychological factors were identified as key mediators of the SES-sleep relationship.

CONCLUSIONS

Unhealthy behaviors, increased stress levels, and limited access to health care in low-SES individuals may explain the SES-sleep health gradient. However, the cross-sectional design of most studies and the high heterogeneity in employed measures of SES and sleep limit the quality of evidence. Further research is warranted due to important implications for health issues and policy changes.

CITATION

Papadopoulos D, Etindele Sosso FA. Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research. J Clin Sleep Med. 2023;19(3):605-620.

Financial Hardship and its Associations with Perceived Sleep Quality in Participants with Type 2 Diabetes and Obstructive Sleep Apnea

OBJECTIVES

The purpose of this study was to explore social determinants of health (SDoH), and disease severity as predictors of sleep quality in persons with both Obstructive Sleep Apnea (OSA) and type 2 diabetes (T2D).

METHODS

Disease severity was measured by Apnea-Hypopnea Index [(AHI) ≥ 5] and HbA1c for glycemic control. SDoH included subjective and objective financial hardship, race, sex, marital status, education, and age. Sleep quality was measured by Pittsburgh Sleep Quality Index (PSQI).

RESULTS

The sample (N = 209) was middle-aged (57.6 ± 10.0); 66% White and 34% African American; and 54% men and 46% women. Participants carried a high burden of disease (mean AHI = 20.7 ± 18.1, mean HbA1c = 7.9% ± 1.7%). Disease severity was not significantly associated with sleep quality (all p >.05). Worse sleep quality was associated with both worse subjective (b = -1.54, p = .015) and objective (b = 2.58, p <.001) financial hardship. Characteristics significantly associated with both subjective and objective financial hardship included being African American, female, ≤ 2 years post high school, and of younger ages (all p < .01).Discussion: Financial hardship is a more important predictor of sleep quality than disease severity, age, sex, race, marital status, and educational attainment, in patients with OSA and T2D.

Trends and socioeconomic inequities in insomnia-related symptoms among Japanese adults from 1995 to 2013

BACKGROUND

Although insomnia prevalence is increasing in developed countries, little is known about trends in sleep problems among Japanese adults according to socioeconomic status. Therefore, we aimed to determine trends and socioeconomic inequalities in insomnia-related symptom (IRS) in Japan using nationally representative data.

METHODS

The IRSs were based on past subjective sleeping difficulty. Using data from the Comprehensive Survey of Living Conditions for every 3 years from 1995 to 2013, we built multivariable Poisson regression models, with IRS as an outcome and survey year and socioeconomic status variables as explanatory variables.

RESULTS

Data from 513,223 Japanese adults were analyzed. Age- and sex-adjusted IRS prevalence was the lowest in 1995, highest in 2007, and decreased from 2007 to 2013. The IRSs were more frequently reported in unemployed or self-employed individuals aged 20-64 years; those with the lowest household expenditure level, except among women aged ≥65 years; and those divorced, separated, or single, especially among women aged 20-64 years.

LIMITATIONS

First, the repeated cross-sectional study design prevented the exclusion of the possibility of reversal of causality between factors. Second, data on insomnia-related lifestyle behaviors were unavailable. Third, the IRSs examined did not meet established clinical criteria for clinical insomnia. Fourth and fifth, information and selection biases could exist because of self-reported data and a small sample size, respectively.

CONCLUSIONS

These results could aid in developing more effective prevention strategies for sleep problems and provide benchmarks for monitoring sleep health trends in Japan and other East Asian countries.