Smoking and risk of sleep-related issues: a systematic review and meta-analysis of prospective studies

Effect of sleep on oral health: A scoping review

Sleep is a vital biological process that facilitates numerous vital functions integral to mental and physical restoration of the body. Sleep deprivation or poor sleep quality not only affects physical health but may also affect oral health. This scoping review aims to collate existing evidence related to the impact of sleep duration and/or quality on oral health. A systematic search strategy using PubMed, Embase, Scopus and CINAHL databases was performed to identify studies that assessed the association between sleep quality or duration and oral health or hygiene. Two researchers independently screened and extracted the data. Eligible studies were critically appraised using the NIH quality assessment tool for observational cohort and cross-sectional studies checklist. The search identified 18,398 studies, from which 14 fulfilled the inclusion criteria. Of the 14 papers, four papers were associated with effect of sleep on caries, 8 papers described the effect of sleep on gingival and periodontal health, and two papers described the effect of sleep on general oral health and oral disease symptoms. This review found a direct link between sleep and dental decay in children, and short sleep duration was associated with an increased risk of periodontitis adults.

The positive impact of smoking on poor sleep quality is moderated by IGF1 levels in cerebrospinal fluid: a case-control study among Chinese adults

Objective

Previous research indicates associations between cigarette smoking, insulin-like growth factor-1 (IGF1), and sleep disturbances. This study aimed to examine the association between smoking and sleep quality and investigate the moderating role of IGF1.

Methods

This case-control study involved 146 Chinese adult males (53 active smokers and 93 non-smokers) from September 2014 to January 2016. Sleep quality and disturbances were evaluated using the Pittsburgh Sleep Quality Index (PSQI), which includes seven scales. Pearson correlation analysis and logistic regression analysis were utilized to examine the link between IGF1 levels in cerebrospinal fluid (CSF) and PSQI scores. The effect of IGF1 was assessed using the moderation effect and simple slope analysis, with adjustments made for potential confounders.

Results

Active smokers exhibited significantly higher global PSQI scores and lower IGF1 levels in CSF compared to non-smokers. A significant negative correlation was observed between IGF1 and PSQI scores (â = -0.28, P < 0.001), with a stronger association in non-smokers (Pearson r = -0.30) compared to smokers (Pearson r = -0.01). Smoking was associated with higher global PSQI scores (â = 0.282, P < 0.001), and this association was moderated by IGF1 levels in CSF (â = 0.145, P < 0.05), with a stronger effect at high IGF1 levels (Bsimple = 0.402, p < 0.001) compared to low IGF1 levels (Bsimple = 0.112, p = 0.268). Four subgroup analysis revealed similar results for sleep disturbances (Bsimple = 0.628, P < 0.001), with a marginal moderation effect observed on subjective sleep quality (Bsimple = 0.150, P = 0.070). However, independent associations rather than moderating effects were observed between IGF1 and sleep efficiency and daytime disturbance.

Conclusion

We provided evidence to demonstrate the moderation effect of IGF1 on the relationship between smoking and sleep in CSF among Chinese adult males.

Association of second-hand smoking with sleep quality among adults in Ibadan, Nigeria: a cross-sectional evaluation of data from the COMBAT-CVDs study

PURPOSE

Sleep quality (SQ) is essential in the overall well-being and quality of life, but little is known about the association of secondhand smoking (SHS) with SQ. This study assessed the relationship between SHS and SQ among adults who had never smoked in Ibadan, Nigeria.

METHODS

We identified 3193 respondents who had never smoked or used any form of tobacco product in the Community-based Investigation of the Risk Factors for Cardiovascular Diseases in the Ibadan and suburbs (COMBAT-CVDs) study. SHS was self-reported, SQ assessed using a sleep quality scale, and SQ scores were classified by the quartile distributions of SQ scores in this sample as good (< 7), moderate (7-13), fair (14-20), and poor (≥ 21), and logistic regression models were used to estimate the multivariable-adjusted odds ratio and 95% confidence interval (CI) of the association between SHS and SQ in a two-sided test at P < 0.05.

RESULTS

The mean (SD) of age in this sample was 34.8 ± 15.1 years; 1621 (50.8%) were females, and 848 (26.6%) experienced SHS. The multivariable-adjusted odds by categories of SQ scores (using good SQ as reference) in the light of SHS were OR: 1.64 (95%CI 1.28, 2.12) for moderate SQ, OR: 1.88 (95%CI 1.46, 2.42) for fair SQ and OR: 2.14 (95%CI 1.66, 2.75) for poor SQ; P < 0.0001 after adjusting for relevant covariates. The sex- and age groups- stratified analyses revealed similar trends.

CONCLUSION

SHS is associated with higher odds of poor SQ in this study. Culturally relevant interventions for mitigating exposure to SHS might improve SQ and overall quality of life, particularly among vulnerable populations.

Sleep quality, sleep duration, and sleep disturbances among hospital night workers: a prospective cohort study

PURPOSE

This study aimed to assess among hospital night workers (i) to what extent sleep quality, sleep duration and sleep disturbances overlap, and (ii) associations between sociodemographic factors, lifestyle factors and work characteristics and sleep components.

METHODS

Data were used from 467 hospital night workers participating in the Klokwerk + study, a prospective cohort study with two measurements. Sleep quality was measured by the Pittsburgh Sleep Quality Index, sleep duration and sleep disturbances were measured by the Medical Outcomes Study Sleep Scale. The overlap between the three sleep measures was visualized with a Venn diagram and the proportions of overlap was calculated. Associations between independent variables (sociodemographic factors, lifestyle factors and work characteristics) and the three sleep outcomes were estimated using between-within Poisson regression models.

RESULTS

About 50% of the hospital night workers had at least one poor sleep outcome. Overlap in poor sleep outcomes was apparent for 36.8% of these workers, while the majority had a poor outcome in one of the sleep components only (63.1%). Former smoking had a significant association with poor sleep quality. For most independent variables no associations with poor sleep outcomes were observed.

CONCLUSION

Our findings suggest that sleep quality, sleep duration and sleep disturbances are separate entities and should be studied separately. Lifestyle factors and work characteristics were generally not associated with poor sleep. Since these factors can have an acute effect on sleep, future research should consider ecological momentary assessment to examine how exposure and outcomes (co)vary within-persons, over time, and across contexts. Trial registration Netherlands Trial Register trial number NL56022.041.16.

Associations between fears related to safety during sleep and self-reported sleep in men and women living in a low-socioeconomic status setting

South Africans living in low socioeconomic areas have self-reported unusually long sleep durations (approximately 9-10 h). One hypothesis is that these long durations may be a compensatory response to poor sleep quality as a result of stressful environments. This study aimed to investigate whether fear of not being safe during sleep is associated with markers of sleep quality or duration in men and women. South Africans (n = 411, 25-50 y, 57% women) of African-origin living in an urban township, characterised by high crime and poverty rates, participated in this study. Participants are part of a larger longitudinal cohort study: Modelling the Epidemiologic Transition Study (METS)-Microbiome. Customised questions were used to assess the presence or absence of fears related to feeling safe during sleep, and the Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index were used to assess daytime sleepiness, sleep quality and insomnia symptom severity respectively. Adjusted logistic regression models indicated that participants who reported fears related to safety during sleep were more likely to report poor sleep quality (PSQI > 5) compared to participants not reporting such fears and that this relationship was stronger among men than women. This is one of the first studies outside American or European populations to suggest that poor quality sleep is associated with fear of personal safety in low-SES South African adults.

Better characterizing sleep beliefs for personalized sleep health promotion: the French sleep beliefs scale validation study

Background

The Sleep Beliefs Scale (SBS) is a well-known tool to design and monitor personalized sleep health promotion at an individual and population level. The lack of an established French version limits the development of effective interventions targeting these populations. Thus, the aim of this study was to validate the French version of the SBS in a representative sample of the general population.

Methods

Quota sampling was used to recruit 1,004 participants (18-65 years, mean age: 43 years, 54% of female) who underwent an online survey to complete the SBS, and to assess sleep schedules, sleep quality and disorders, and mental health. Cronbach's α coefficient, confirmatory factor analysis, item-internal consistency (IIC), and item discriminant validity (IDV) of the SBS were computed to assess internal validity while bivariate associations with sleep schedules, sleep quality and disorders, and mental health were used to assess external convergent and discriminant validity.

Results

The mean score on the SBS was 12.3 ± 4.9. Item 19 ("Quiet & Dark") showed the highest rate of correct answers (n = 801, 79.8%), while item 20 ("Recovering sleep") showed the lowest rate of correct answers (n = 246, 24.5%). Overall, the SBS showed satisfactory internal consistency (α = 0.87) and confirmed the three-factor structure proposed by the original study. All items were found consistent (IIC > 0.4) and discriminant (IIC > IDV) except for item 20 ("recovering lost sleep by sleeping for a long time"). Females, older participants, and subjects with short time-in-bed, poor sleep quality, insomnia, and circadian rhythm disorder had higher SBS scores while participants with depressive symptoms had lower SBS scores.

Conclusion

We successfully translated and validated the French version of the SBS in a representative sample, making it a reliable instrument for researchers and clinicians to assess and target sleep beliefs. Correct answers vary from 25 to 80% which underlines the importance of continuing sleep health promotion campaigns by targeting poorly understood behaviors. Our findings also shed light on the fickleness of beliefs that are prone to vary within individuals across time, in step with societal changes. Several associated factors were identified, thus contributing to our understanding of sleep beliefs and offering insights for personalized approaches to enhance sleep health and overall well-being.

Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program

OBJECTIVE

The All of Us Research Program (All of Us) aims to recruit over a million participants to further precision medicine. Essential to the verification of biobanks is a replication of known associations to establish validity. Here, we evaluated how well All of Us data replicated known cigarette smoking associations.

MATERIALS AND METHODS

We defined smoking exposure as follows: (1) an EHR Smoking exposure that used International Classification of Disease codes; (2) participant provided information (PPI) Ever Smoking; and, (3) PPI Current Smoking, both from the lifestyle survey. We performed a phenome-wide association study (PheWAS) for each smoking exposure measurement type. For each, we compared the effect sizes derived from the PheWAS to published meta-analyses that studied cigarette smoking from PubMed. We defined two levels of replication of meta-analyses: (1) nominally replicated: which required agreement of direction of effect size, and (2) fully replicated: which required overlap of confidence intervals.

RESULTS

PheWASes with EHR Smoking, PPI Ever Smoking, and PPI Current Smoking revealed 736, 492, and 639 phenome-wide significant associations, respectively. We identified 165 meta-analyses representing 99 distinct phenotypes that could be matched to EHR phenotypes. At P < .05, 74 were nominally replicated and 55 were fully replicated. At P < 2.68 × 10-5 (Bonferroni threshold), 58 were nominally replicated and 40 were fully replicated.

DISCUSSION

Most phenotypes found in published meta-analyses associated with smoking were nominally replicated in All of Us. Both survey and EHR definitions for smoking produced similar results.

CONCLUSION

This study demonstrated the feasibility of studying common exposures using All of Us data.

Rest-activity rhythms across the lifespan: cross-sectional findings from the US representative National Health and Nutrition Examination Survey

STUDY OBJECTIVES

Rest-activity rhythms (RAR) may mark development, aging, and physical and mental health. Understanding how they differ between people may inform intervention and health promotion efforts. However, RAR characteristics across the lifespan have not been well-studied. Therefore, we investigated the association between RAR measures with demographic and lifestyle factors in a US nationally representative study.

METHODS

RAR metrics of interdaily stability (IS), intradaily variability (IV), relative amplitude (RA), and mean amplitude and timing of high (M10) and low (L5) activity were derived from 2011 to 2012 and 2013 to 2014 National Health and Nutrition Examination Survey (NHANES) actigraphy data. Population-weighted linear and logistic regression models were fit to examine the associations of age, gender, smoking, alcohol, season, body mass index (BMI), income-to-poverty ratio, and race/ethnicity with RAR. Significance was based on a false-discovery rate-corrected P-value of <0.05.

RESULTS

Among n = 12 526 NHANES participants (3-≥80 years), IS (higher = greater day-to-day regularity) and RA (higher = greater rhythm strength) generally decreased with age and were lower among males, whereas IV (higher = greater rhythm fragmentation) increased with age (p < 0.05). Dynamic changes in RAR trajectories were observed during childhood and adolescence. Income, BMI, smoking, and alcohol use were associated with RAR metrics, as well as season among children and teenagers (p < 0.05). RAR also differed by race/ethnicity (p < 0.05), with trajectories initially diverging in childhood and continuing into adulthood.

CONCLUSIONS

RAR differed by demographic and health-related factors, representing possible windows for public health intervention and sleep health promotion. RAR differences by race/ethnicity begin in childhood, are evident in early adolescence, and persist throughout adulthood.

Sleep timing, workplace well-being and mental health in healthcare workers

INTRODUCTION

Healthcare workers face an elevated risk of burnout, sleep disorders, and mental health issues, potentially stemming from the misalignment of their circadian rhythm due to nonstandard work schedules. This cross-sectional survey aims to examine the connections between sleep timing, workplace well-being (including burnout and absenteeism), and mental health outcomes (specifically depression and poor sleep) in healthcare workers. Additionally, the survey takes into account individual and professional factors, as well as the interaction with work schedules.

METHODS

The study encompasses 4,971 healthcare workers from both public and private healthcare facilities in France, including nurses, nursing assistants, and physicians recruited during the third wave of the COVID-19 pandemic. The Maslach Burnout Inventory assesses burnout, the Center for Epidemiologic Studies Depression Scale measures depression, and the Pittsburgh Sleep Quality Index evaluates poor sleep. Sleep timing is categorized into morning, neutral, and evening timing, referred to as midsleep. Multivariate logistic regression analysis is conducted to explore the relationships between sleep timing and burnout, depression, and poor sleep, while adjusting for various factors.

RESULTS

The findings reveal that 56.5% of participants experience burnout, 29.8% report depression, and 64.5% report poor sleep. Nurses and nursing assistants exhibit a higher prevalence of poor sleep. Morning sleep timing is associated with burnout among those with fixed schedules and with depression among those with shift schedules. Among physicians, both morning and evening sleep timing are associated with depression, while morning sleep timing is linked to poor sleep across all subgroups.

INTERPRETATION

This study suggests that the misalignment between healthcare workers' internal circadian rhythm and their work schedules may contribute to an increased risk of burnout, depression, and poor sleep. Occupational health services and policymakers should recognize the potential for enhancing workplace well-being and mental health outcomes by enabling healthcare workers to maintain sleep schedules that accommodate their needs.

Association of oxidative balance score with sleep quality: NHANES 2007-2014

BACKGROUND

Oxidative stress is correlated with sleep quality. A common tool for evaluating dietary and lifestyle exposures to oxidative stress is the Oxidative Balance Score (OBS), with higher OBS suggesting more substantial antioxidant exposures. The relationship between OBS and sleep quality is unclear. Investigating the association between OBS and sleep quality was the purpose of this study.

METHODS

To figure out the relationship between OBS and sleep quality, we utilized weighted linear models and weighted logistic regression. Adjusted models were also examined.

RESULTS

6300 participants who took part in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2014 were recruited. OBS was negatively associated with sleep disorder (OR: 0.97; 95 % CI: 0.94-0.99), and positively associated with sleep duration (MD: 0.02; 95%CI: 0.01-0.03). Within the range of OBS > 24, each unit increase in OBS will result in a 40 % reduction in sleep disorder, and a 26 % increasement in sleep duration after adjustment (all P for trend <0.05). Dietary and lifestyle components were closely related to sleep quality independently. The relationship between OBS and sleep quality was prominent in the female population under 50 years of age. After stratification by education level, this relationship persisted.

LIMITATION

This research was cross-sectional design, and it was not possible to deduce causality.

CONCLUSION

Diet and lifestyle might influence sleep quality by modulating oxidative balance. Antioxidant diets and lifestyles were important in reducing sleep problems and our study also provided new ideas for improving sleep quality.

Characteristics of Atypical Sleep Durations Among Older Compared to Younger Adults: Evidence from the New Zealand Health Survey

BACKGROUND

Understanding and supporting sleep is important across the life span. Disparities in sleep status are well documented in mid-life but under-explored among older populations.

METHODS

Data from 40,659 adults pooled from the New Zealand Health Surveys were used; 24.2% were "older adults" (aged ≥65 years), 57% were female, and 20.5% of Māori ethnicity. "Long," "short," or "typical" sleep categories were based on age-related National Sleep Foundation guidelines. Multinomial logistic regression examined predictors of atypical sleep, including sociodemographic characteristics, lifestyle factors, and health status.

RESULTS

Prevalence of short and long sleep among older adults was 296 (3.0%) and 723 (7.4%), respectively. Correspondingly, prevalence among younger adults was 2 521 (8.2%) and 364 (1.2%). Atypical sleep was more significantly associated with indicators of reduced socioeconomic status and ethnicity among younger rather than older adults. Within both age groups, lower physical activity was associated with long sleep status. Higher physical activity and smoking were related to short sleep status among younger adults only. Within both age groups, atypical sleep was associated with SF-12 scores indicating poorer physical and mental health. Having ≥3 health conditions was related to short sleep among the older adults, while for young adults, it was related to both atypical durations.

CONCLUSIONS

Indicators of negative lifestyle and health factors remain consistent predictors of atypical sleep with aging. However, demographic disparities are less apparent among older atypical sleepers. This study highlights individual and contextual factors associated with atypical sleep patterns which may be important for age-appropriate recognition and management of sleep problems.

Exposure to secondhand smoke is associated with poor sleep quality among non-smoking university students in Bangladesh: a cross-sectional survey

Although secondhand smoke (SHS) exposure is predominant in Bangladesh, the adverse effect of SHS exposure on health-related behaviors, such as sleep quality, have remained an under-investigated area of the country's public health landscape. Therefore, the purpose of this study was to examine the association between SHS exposure and poor sleep quality among non-smoking university students in Bangladesh. A cross-sectional survey was carried out between May and September 2022. SHS exposure (main predictor variable) and other covariates (e.g., age, sex, etc.) were measured using a self-reported questionnaire and sleep quality (outcome variable) was measured via the Pittsburgh Sleep Quality Index. Multiple logistic regression models investigated the association between SHS exposure and poor sleep quality. The study included 390 students (mean age: 22 years, 53.8% male). Approximately 41.8% of the participants reported SHS exposure, and 50.5% had poor sleep quality. Students exposed to SHS were more likely to have poor sleep quality compared to their counterparts (AOR = 1.61; 95% CI 1.01, 2.58). Subgroup analysis revealed poor sleep quality was 2-times higher among male students exposed to SHS than those male students without SHS exposure (AOR = 2.03; 95% CI 1.05, 3.93). No association was found in female students. Findings from this study warrant increased awareness and public health initiatives on the implications of SHS on health behaviors, such as sleep quality, in non-smoking Bangladeshi university students.

Poor sleep is associated with work environment among 10,087 French healthcare workers: Results from a nationwide survey

Poor sleep is a prevalent issue among healthcare workers and can have detrimental effects on their health. Various individual and professional factors, including the work environment, may contribute to poor sleep. However, only a limited number of studies have examined the simultaneous influence of these factors. Hence, we conducted a nationwide survey among graduated healthcare workers in both public and private healthcare facilities in France. The aim was to analyze the association between poor sleep, assessed using the Pittsburgh Sleep Quality Index (>5), and the work environment, evaluated using the Job Content Questionnaire. The study encompassed 10,087 healthcare workers, among whom 6,540 (64.8%) reported experiencing poor sleep. Nurses, health executives, nursing assistants, and other allied healthcare professionals were more likely to experience poor sleep compared to physicians. Through multivariate regression analysis, we identified several aspects of the work environment associated with an increased likelihood of poor sleep. These factors included high speed and quantity of work, high complexity and intensity, high fragmentation and unpredictability, limited decision-making latitude, underutilization of skills, lack of emotional support from colleagues, and sustained workplace bullying. These findings highlight the significance of considering the work environment in addressing sleep issues among healthcare professionals.

Electronic cigarette use and cigarette smoking associated with inadequate sleep duration among U.S. young adults

OBJECTIVE

Nicotine use can influence inadequate sleep, but less is known about the associations of exclusive and dual use of electronic cigarettes (e-cigarettes) with combustible cigarettes in U.S. young adults. This study assessed the associations between current exclusive e-cigarette use, exclusive cigarette smoking, and dual e-cigarette and combustible cigarette use and inadequate sleep duration among U.S. young adults.

METHODS

We performed a secondary analysis of 2020 Behavioral Risk Factor Surveillance System (BRFSS) data including 13,978 U.S. young adults ages 18-24 years. Inadequate sleep duration was assessed categorically using the National Sleep Foundation's age-specific recommendations that define <7 h as inadequate sleep. Weighted logistic regression models were performed while adjusting for participants' sex, race/ethnicity, education level, annual household income level, body mass index, current physical activity, mental health status, disability status, current alcohol use, and current smokeless tobacco use.

RESULTS

Concerning use patterns, 11.8% of young adults were exclusive e-cigarette users, 4.7% were exclusive cigarette smokers, and 3.8% were dual e-cigarette and combustible cigarette users. Exclusive e-cigarette users (adjusted odds ratio [AOR] = 1.41, 95% confidence interval [CI] = 1.16-1.72), exclusive cigarette smokers (AOR = 1.63, 95%CI = 1.22-2.18), and dual product users (AOR = 2.03, 95%CI = 1.44-2.86) were at increased odds of having inadequate sleep duration compared to non-users, while adjusting for the covariates. Additionally, dual product users were at increased odds (AOR = 1.52, 95%CI = 1.06-2.19) of reporting inadequate sleep duration compared to exclusive e-cigarette users, while adjusting for the covariates.

CONCLUSIONS

Current e-cigarette and cigarette use may influence inadequate sleep among U.S. young adults. Tobacco cessation efforts may encourage increased sleep health.

Sleep Duration, Sleep Quality, and Insomnia in Association With Self-Rated Health: A Systematic Review and Meta-Analysis

Background and Objective This study undertook a systematic review and meta-analysis of the relationship between sleep duration, sleep quality, and insomnia in association with self-rated health.Methods Studies that had examined the relationship between sleep duration, sleep quality, and insomnia with self-rated health were eligible. PubMed and Scopus were the two main databases for searching for studies related to this meta-analysis. The Google Scholar database as a source of gray literature was also searched by hand. This search was from the beginning of the formation of databases until the end of January 2022, and the search language was limited to articles published in English. The Effective Public Health Practice Project Quality Assessment Tool was used to assess the quality of studies. For this meta-analysis, odds ratio and 95% confidence interval were extracted or calculated. The pool of studies was processed by the random effects method.Results Twenty-six studies were included in this meta-analysis. Sleep duration of ≤ 8 hours per day (h/d) (odds ratio = 1.58 and 95% confidence interval = [1.41–1.77]) and sleep duration of > 8 h/d (odds ratio = 1.32 and 95% confidence interval = [1.17–1.50]) are associated with poor self-rated health. Poor sleep quality and insomnia are associated with poor self-rated health. Conclusions Sleep problems have a negative effect on self-rated health, and therefore, effective interventions can help improve sleep.

Sleep quality and sleep-related issues in industrial workers: a global meta-analysis

Objectives. Sleep-related issues are important health issues. This study aimed to investigate the global prevalence of sleep-related issues in industrial workers. Methods. A syntax of keywords was used to search the PubMed, Web of Science and Scopus databases. The search time was limited to articles published until September 2020, and the search range was in English. Events and samples were extracted for each study to calculate the prevalence. For all subgroups, events and samples were extracted to calculate the results of the subgroups. The random-effects method was used in the analysis. Heterogeneity was examined at the levels of all analyses. Results. Forty-eight articles were included in the analysis as eligible studies. Sleep-related issues have 30% prevalence in the 95% confidence interval (CI) [25, 35%]. The prevalence of sleep-related issues in men was 38%, 95% CI [31, 45%] and in women was 32%, 95% CI [14, 50%]. The prevalence of poor sleep quality, insomnia, sleep duration <7 h, snoring and sleepiness was 36, 22, 37, 29 and 10%, respectively. Conclusions. Sleep-related issues have a high prevalence in industrial workers, and the cause of these differences needs to be addressed and increasing insights provided to prevent and treat sleep disorders.

Longitudinal associations between sleep and BMI in a low-income, predominantly Black American sample

OBJECTIVE

Black individuals and those experiencing socioeconomic disadvantage are at increased risk for sleep problems and obesity. This study adds to the limited extant literature examining longitudinal associations between objectively measured sleep and changes in body mass index (BMI) in Black Americans.

DESIGN

We focused on individuals with at least 1 observation of sleep and BMI at 1 of 3 study time points (2013, 2016, and 2018). We modeled longitudinal trends in BMI as a function of time, average of each sleep variable across assessments, and within-person deviations in each sleep variable over time.

SETTING

Data were collected via interviewer-administered at-home surveys and actigraphy in Pittsburgh, PA.

PARTICIPANTS

Our sample comprised 1115 low-income, primarily Black adults, including 862 women and 253 men.

MEASUREMENTS

Sleep measures included actigraphy-measured total sleep time, sleep efficiency, and wakefulness after sleep onset, as well as self-reported sleep quality. We also included objectively measured BMI.

RESULTS

In models adjusted for age, gender, and other sociodemographic covariates (eg, income, marital status), there were no significant longitudinal associations between total sleep time, sleep efficiency, wakefulness after sleep onset, or subjective sleep quality and changes in BMI.

CONCLUSIONS

This study provides further evidence that, among a sample of low-income Black adults, sleep problems are not longitudinally predictive of BMI. Although ample cross-sectional evidence demonstrates that sleep problems and obesity commonly co-occur, longitudinal evidence is mixed. Better understanding the overlap of sleep and obesity over time may contribute to prevention and intervention efforts.

Tobacco use and incident sleep parameters among a rural ageing population in South Africa

INTRODUCTION

Tobacco use may be associated with incident insomnia. The aim of the study was to investigate the association between tobacco use and incident sleep parameters in a longitudinal study in South Africa.

METHODS

Longitudinal data from two consecutive waves of middle-aged and older adults in 2014-2015 (n=5059) and 2018-2019 (n=4176) in rural South Africa were analyzed. Tobacco use and sleep parameters were assessed by self-report. The associations between tobacco use and incident sleep parameters were estimated with multivariable logistic regression.

RESULTS

The prevalence of baseline sleep parameters was poor sleep quality 6.5%, sleep disturbance 13.6%, restless sleep 32.9%, and breathing stops 7.0%. In the fully adjusted model for people without poor sleep quality at baseline, daily tobacco smoking, smoking ≥10 units of tobacco products, current tobacco use and current smokeless tobacco use did not increase the odds of incident poor sleep quality. Smoking ≥10 units of tobacco products in a day (AOR=3.83; 95% CI: 1.77-8.28), current tobacco use (AOR=1.65; 95% CI: 1.09-2.51), and daily tobacco smoking (AOR=2.16; 95% CI: 1.15-4.07), were significantly positively associated with incident sleep disturbance. Furthermore, incident restless sleep was significantly positively associated with smoking ≥10 units of tobacco products in a day (AOR=3.97; 95% CI: 1.18-13.37), current smokeless tobacco use (AOR=2.78; 95% CI: 1.17-6.62) and current tobacco use (AOR=2.00; 95% CI: 1.00-4.00). Incident breathing stops were significantly positively associated with daily smoking tobacco (AOR=2.08; 95% CI: 1.11-3.34), smoking 1-9 units of tobacco products in a day (AOR=2.17; 95% CI: 1.20-3.94), and current tobacco use (AOR=1.77; 95% CI: 1.16-2.72).

CONCLUSIONS

Higher tobacco use was independently associated with incident sleep disturbance, incident restless sleep, and incident breathing stops, but not with incident poor sleep quality.

The role of perseverative cognition in the job strain-health outcome relationship

OBJECTIVE

Job strain has been implicated in a variety of adverse health outcomes, particularly cardiometabolic and inflammatory diseases. However, the mechanisms underlying these effects remain largely unknown. One possibility is that the maladaptive coping response to stress, (perseverative cognition (PC); the cognitive representation of past stressful events (rumination) or feared future events (worry)), either in work or more generally, mediates the relationship between job strain and physical disease. The aim of this study was thus to test the potential role of both general, and work- related PC as a mediating, or potentially moderating, mechanism between job strain and ill- health outcomes.Design & Measures:Using an online cross- sectional design, 650 full- time employees completed measures of job strain, general and work- related PC (rumination & worry) and health outcomes (burnout, somatization, health behaviours & sleep quality).

RESULTS

General and work- related worry and rumination significantly mediated, often independently, the relationship between job strain and burnout, somatization, and sleep quality. No significant mediation effects were observed for health behaviours and no type of PC (general or work- related) moderated job strain- health outcome relations.

CONCLUSION

Both general and work- related worry and rumination are likely to play important, and partly independent, roles in understanding the adverse relationships between job strain and various health outcomes.

Digital interventions for smoking abstinence: a systematic review and meta-analysis of randomized control trials

OBJECTIVES

Technological advancements have improved patients' health and clinical care through digital interventions. This study investigated the effects of digital interventions on smoking abstinence.

METHODS

PubMed, the Cochrane Library, and Scopus were systematically searched from inception until December 2021. Meta-analysis was carried out using a random-effects model. The degree of heterogeneity, quality, and publication bias of the selected studies was further evaluated.

RESULTS

A total of 43 randomized control trial studies were eligible for this study. 38,814 participants from 18 countries were included in the analysis. Digital interventions on seven-day point prevalence abstinence (1 month) showed increased smoking abstinence. The odds ratio was 2.02 and confidence interval (CI) was 1.67-2.43; p < 0.001; I² = 55.1%) . The result for a 30-day point prevalence abstinence (1 month) was 1.63 (CI 1.09-2.46; p = 0.018; I² = 0%). Digital intervention also had a significant effect on continuous abstinence (odds ratio = 1.68; CI 1.29-2.18; p < 0.001; I² = 70.1%) and prolonged abstinence (odds ratio = 1.60; CI 1.19-2.15; p = 0.002; I² = 53.6%). There was evidence of heterogeneity and publication bias.

CONCLUSIONS

Digital interventions led to increased smoking abstinence and can be a valuable tool in smoking cessation. Further research is required to evaluate the long-term impact of digital interventions on outcomes related to smoking cessation.

Polysomnographic Assessment of Effects of Tobacco Smoking and Alcohol Consumption on Sleep Bruxism Intensity

Background: Sleep bruxism (SB) is a common sleep-related movement behavior with a complex etiology. A recent hypothesis suggests psychoactive substance usage, tobacco smoking, and alcohol intake are risk factors for SB. This study aimed to evaluate SB intensity in tobacco smokers and alcohol drinkers. Methods: A total of 133 adults underwent full-night audio- and video-polysomnography, and the polysomnograms were evaluated using the American Academy of Sleep Medicine guidelines. The study group was divided into smoker and nonsmoker groups as well as drinker and non-drinker groups. Results: The results of the polysomnographic analysis confirmed that tobacco smoking has a significant effects on SB. Tobacco smokers showed increased bruxism intensity (5.50 ± 4.71 vs. 3.83 ± 3.26, p < 0.05), especially the mixed phenotype (0.93 ± 1.00 vs. 0.59 ± 0.59, p < 0.05), in the N1 sleep stage (22.84 ± 20.45 vs. 15.66 ± 13.60, p < 0.05) and the nonsupine position (4.93 ± 5.56 vs. 2.50 ± 2.31, p < 0.05). They also showed a higher number of bruxism episodes with arousal compared with nonsmokers (2.91 ± 2.83 vs. 1.61 ± 1.49, p < 0.05), indicating increased sleep fragmentation. However, no significant effect of alcohol on SB intensity was observed, and the bruxism episode index was similar in alcohol drinkers and nondrinkers. In addition, electrolyte disturbances and lipid disorders were evaluated. Compared with nonsmokers, tobacco smokers showed a higher concentration of plasma triglycerides (177.67 ± 106.9 vs. 129.18 ± 65.61) and lower levels of iron and magnesium (96.68 ± 43.58 vs. 123.83 ± 52.36 and 1.85 ± 0.22 vs. 1.96 ± 0.21, respectively). Conclusions: In summary, this study showed that tobacco smoking, but not alcohol consumption, is related to bruxism intensity and lipid and electrolyte disturbances in individuals with sleep disorders.

Nutritional Elements in Sleep

Sleep comprises one-third of our day and plays an integral role in human health and well-being. Many factors influence sleep, with nutrition being a key element that impacts various sleep parameters. Meal-timing through strategies like chrono-nutrition leads to positive sleep outcomes. In addition, consuming a high-protein diet with essential amino acids, low-glycemic-index foods, and certain fruits rich in antioxidants can all contribute to better sleep quality. Other facets of nutrition that can affect sleep outcomes include weight loss and limiting certain nutritional elements such as caffeine, nicotine, and alcohol. In this article, we will shed some light on how some of these factors can play a vital role in sleep quality.

Associations among Alcohol Drinking, Smoking, and Nonrestorative Sleep: A Population-Based Study in Japan

Nonrestorative sleep (NRS) is a common sleep disorder. It is associated with several unhealthy lifestyle factors, such as skipping breakfast and lack of exercise. However, the associations between alcohol drinking, smoking, and NRS are unclear. This study examined the prevalence of NRS within the Japanese general population and the relationships among alcohol drinking, smoking, and NRS. We analyzed an anonymized dataset from a 2013 nationwide population survey (35,717 men and 39,911 women). NRS was assessed through a single-item question, and socio-demographic and lifestyle factors were assessed through self-reports. Multivariable logistic regression analyses were used to examine the associations between alcohol drinking, smoking, and NRS. The total prevalence of NRS was 22.2% (95% CI 21.8-22.7) in men and 23.4% (95% CI 23.0-23.8) in women. Further, we found that sleep duration and prevalence of NRS shared an inverse J-shaped relationship. Heavy alcohol drinking was significantly associated with NRS in both sexes. Short sleep duration and certain socioeconomic factors modified the effect of smoking on NRS in men. These results could be useful in the development of more effective sleep health policies to establish better sleep hygiene.

Sleep and sleep-modifying factors in chronic migraine patients during the COVID-19 lockdown

Aims

The objective of the present study was to evaluate sleep features and sleep-modifying factors in patients with chronic migraine (CM) during the first Italian COVID-19 lockdown.

Material and methods

The study was based on an e-mail survey addressed to CM patients of our headache center. The survey investigated demographic, life-style, sleep, psychological, and migraine features during the first COVID-19 lockdown period and the month before. The outcomes were sleep quality (measured using PSQI) and variation in sleep quality, duration, and latency.

Results

Ninety-two patients were included. The mean PSQI was 11.96. Sleep quality was improved in 14.1%, stable in 47.8%, and worsened in 38.0%. Sleep latency was reduced in 5.4%, stable in 46.7%, and increased in 47.8%. Sleep duration was reduced in 29.3%, stable in 34.8%, and increased in 35.9%. Significant associations were found with age, work/study, remote working, job loss, meal quality change, smoking variation, COVID-19 province prevalence, home-inhabitant relationship, ratio of house size/number of people, stress, state anxiety, anxiety/depression variation, future concern variation, computer hours, internet hours, and television hours.

Conclusion

The study described sleep features of chronic migraineurs during COVID-19 lockdown, pinpointing the main factors involved in sleep quality and sleep changes. Our findings revealed that migraineurs’ sleep was closely linked with life-style and psychological features. Several modifiable factors came to light and they should be considered in order to develop an optimal management of CM. An appropriate and more aware treatment of sleep problems could be a way to improve migraineurs’ life.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10072-022-06378-0.

The association between cotinine-measured smoking intensity and sleep quality

INTRODUCTION

METHODS

RESULTS

CONCLUSIONS

Associations between Major Health Behaviors and Sleep Problems: Results from the 2015, 2016, 2017 Canadian Community Health Survey

BACKGROUND AND OBJECTIVES

Key health behaviors including cigarette smoking, alcohol consumption, fruit and vegetable (FV) consumption, and physical activity have been associated with sleep-related problems. This cross-sectional study describes sleep quality and duration by gender in a large adult population and examines whether health behavioral factors are associated with short/long sleep duration and sleep problems (difficulty initiating/maintaining sleep [DIMS], daytime sleepiness, and finding sleep refreshing).

METHODS

Using Canadian Community Health Survey data from cycles 2015, 2016, and 2017, binary and multinomial logistic regression models were computed.

RESULTS

Of the 44,911 respondents included, only half of respondents met the recommended sleep duration. Fifty-five percent of females and forty-one percent of males reported DIMS. Binge drinking was associated with increased DIMS, with the strongest relationship being among females reporting weekly binge drinking (odds ratio (OR) 2.03 [1.59,2.60]). Binge drinking was also associated with decreased odds of finding sleep refreshing among females only (OR 0.73 [0.56,0.96] in weekly binge drinkers). Compared to respondents who had never smoked, daily smokers had higher odds of short sleep (OR 1.50 [1.30,1.74] and OR 1.39 [1.21,1.60]; females and males, respectively). Similarly, former smokers had higher odds of DIMS (OR 1.18 [1.06,1.31]) and not finding sleep refreshing (OR 0.85 [0.77,0.95]), among females; similar OR among males. Increased FV consumption was associated with increased odds of finding sleep refreshing (OR 1.05 [1.03,1.07] and OR 1.06 [1.04,1.08] in females and males, respectively).

CONCLUSION

There is a high prevalence of sleep problems among Canadians. Potential gender differences in the relationships between health behaviors and sleep problems warrant further research.

The relationship between poor sleep quality measured by Pittsburgh Sleep Quality Index and cigarette smoking according to sex and age

OBJECTIVES

Multiple studies have found that cigarette smokers are more likely to experience sleep disturbances than non-smokers. This study aimed to examine various associations between smoking and sleep quality according to sex and age, which have yet to be sufficiently examined in prior studies.

METHODS

Data analysis was conducted using a nationally representative sample of 224,986 Korean adults who participated in the 2018 Korea Community Health Survey. Sleep quality, as the dependent variable, was measured using the Pittsburgh Sleep Quality Index (PSQI), with PSQI scores indicating either good (≤4 points) or poor (>5 points) sleep quality. Multiple logistic regression analysis was performed considering socio-demographic factors, health behaviors, comorbidities, and psychological factors as covariates.

RESULTS

The overall weighted prevalence of poor sleep quality was 39.4% (95% confidence interval, 39.1 to 39.7). In the multivariate model that excluded psychological factors, poor sleep quality positively correlated to smoking for both sexes and all age groups except for male aged ≥65 years. However, in the full model that included psychological factors, statistically significant odds ratios (approximately 1.5) for poor sleep quality according to smoking status were only observed for female under 65 years of age.

CONCLUSIONS

The relationship between poor sleep quality and smoking status differed according to sex and age. In order to improve the quality of sleep, it is necessary to intervene smoking cessation along with solving psychological problems, especially female in middle age and younger.

Association between depression and sleep apnoea: a Mendelian randomisation study

Background

Studies have reported a close relationship between depression and sleep apnoea, yet it is unknown whether these are causally related. Thus, we aimed to determine whether depression is associated with the aetiology of sleep apnoea.

Methods

We used publicly available genetic summary data from two large consortia: the Psychiatric Genomics Consortium, with data from 36 single-nucleotide polymorphisms (SNPs) closely associated with major depressive disorder (MDD), and the UK Biobank, including 456 736 patients with sleep apnoea and 766 964 controls. For Mendelian randomisation (MR) analysis, we used the inverse-variance weighted method, weighted median method, MR-Egger regression, MR pleiotropy residual sum and outlier test to retrieve summary data. Analyses were performed using the “TwoSampleMR” package in R.

Results

Out of the 36 SNPs associated with MDD, we found statistically significant evidence of a potential causal effect of MDD on the risk of sleep apnoea (OR 1.004, 95% CI 1.001–1.006; p=0.001). Similar results were obtained using the MR-Egger and weighted median methods. Additionally, we found no heterogeneity or pleiotropy.

Conclusions

Our findings suggest that depression slightly increases the risk of sleep apnoea. Further investigation of the potential biological mechanisms is necessary.

The results of this study show that depression has a potential causal relationship with a higher risk of sleep apnoea, providing evidence for the role of depression in sleep apnoeahttps://bit.ly/3CJavif

Smoking and alcohol use in unemployed populations: a systematic review and meta-analysis

Unemployment is an economic and social phenomenon that has economic, social, personal, and health consequences. This study aimed to investigate the relationship between unemployment and alcohol use and smoking as a systematic review and meta-analysis.

The two databases PubMed and Scopus were selected for the search and using a set of keywords, these two sources of scientific information were searched from 2004 to June 2021 and 1996 until June 2021, respectively. To meta-analyze the relationship between unemployment and smoking and alcohol use, odds ratio and confidence interval were calculated for this relationship. The meta-analysis was performed based on a random-effects. Subgroups were also performed for men and women. Heterogeneity in studies as well as publication bias were also examined.

A total of 52 cross-sectional and cohort studies were included in the meta-analysis. In the relationship between unemployment and alcohol use, the odds ratio was 1.25 and the confidence interval was between 1.12 and 1.41. In the relationship between unemployment and smoking, the odds ratio was 1.43 and the confidence interval was between 1.13 and 1.81.

According to the results, it can be said that unemployment increases the likelihood of alcohol use and smoking. Therefore, policymakers must pay more attention to the health consequences of economic problems, especially unemployment.

Sleep disturbances by disease type and stage in Huntington's disease

INTRODUCTION

Sleep disturbances are a common symptom in patients with Huntington's disease (HD). However, it is unclear when in the disease course of HD sleep disturbances become more frequent compared to the general population. This study investigated the frequency and odds of developing sleep disturbances between adults with HD or at-risk for HD and non-HD controls.

METHODS

Participants from the Enroll-HD study were split by both disease type and disease severity using CAG length, diagnostic confidence level, and total functional capacity score. Multivariate logistic regression was used to calculate odds ratios adjusted for age, sex, tobacco and alcohol use, depression and psychosis scores, and cognition to compare HD groups to non-HD controls. Cox proportional hazards models and Kaplan Meier curves were used to determine differences in probabilities of developing sleep disturbances and how sleep disturbances are related to age at motor onset.

RESULTS

There were significant differences between HD participants and non-HD controls in both the disease type and disease stage analyses (p < 0.001). The odds of a sleep disturbance increased with worsening disease stage and was highest in those with juvenile HD. The development of a sleep disorder in manifest HD participants was observed to be around the time of disease onset.

CONCLUSIONS

Sleep disturbances are more frequent in HD patients than those without HD. There are also differences based on disease type and stage. This is supplemented by the finding that the onset of sleep disturbances occurs near the time of motor onset of HD.

Effect of exercise training on improving sleep disturbances: a systematic review and meta-analysis of randomized control trials

OBJECTIVES

Exercise training has beneficial effects on various aspects of health. This study aimed to investigate the effect of exercise training on the improvement of sleep disturbances using systematic review and meta-analysis of randomized control trials.

METHOD

Four indexes of scientific information including PubMed, Web of Science, Scopus, and the Cochrane library were selected and all manuscripts of these sources were searched in English until January 2021. The studies were screened and finally, the studies were entered into meta-analysis and the Standardized Mean Difference (SMD) was calculated, and the analyzes were performed based on the random effects method. Publication bias and heterogeneity were examined in all analyzes.

RESULT

A total of 32 studies were included in the meta-analysis. Meta-analysis showed that exercise training is effective in improving sleep quality (SMD = -0.85 and confidence interval (CI) was -1.16-0.54; P < 0.001). Exercise training improving insomnia (SMD = -0.87 and CI was -1.68-0.06; P = 0.036). Exercise training improves sleepiness (SMD = -0.38 and CI was -0.68-0.07; P = 0.016), obstructive sleep apnea (SMD = -0.40 and CI was -0.67-0.14; P = 0.003) and restless legs syndrome (SMD = -1.02 and CI was -1.56-0.49; P < 0.001).

DISCUSSION

Exercise training has beneficial effects on a variety of sleep disturbances and therefore it can be said that providing the necessary conditions for exercise training can play a major role in promoting health, especially since this type of intervention is a non-pharmacological intervention.

Prevalence of Substance Use in University Students, Ethiopia

BACKGROUND

Although substance use is a known public health problem and a pressing issue in Ethiopia, its real extent and magnitude are not yet properly explored. The current study aimed to determine the extent and predictors of substance use among regular undergraduate students in the Institute of Technology, Addis Ababa University.

METHODS

An institution-based cross-sectional study was carried among 794 undergraduate regular students at the Institute of Technology, Addis Ababa University, using a self-administered structured questionnaire filled by study participants. Data entry, cleaning, and coding were performed by EPI-INFO version 3.5.1. Statistical Package for Social Sciences; AOR: Adjusted odds ratio (SPSS) SPSS version 21 software was used to analyze data by performing descriptive statistics, bivariate, and multivariate analysis.

RESULTS

73.7% of the study participants used substances at least once. The lifetime use of each substance includes alcohol (68.2%), khat (53.6%), cigarettes (46.1%), and illicit drugs (23.3%). Loss of family (AOR [95%CI], 34.50 [7.569, 157.263]), pocket money between 500 and 999 Ethiopian birr (AOR [95%CI], 9.978 [1.240, 80.280]), and above 1000 Ethiopian birr (AOR [95%CI], 10.831 [1.333, 87.971]) were identified predictors for khat use. The odds of lifetime alcohol use was higher among students coming from a divorced family (AOR [95%CI], 9.346 [3.162, 27.625]), lost one (AOR [95%CI], 37.406 [11.375, 123.008]), or both of their parents (AOR [95%CI], 18.750 [5.798, 60.633]). Students of urban origin (AOR [95%CI], 3.214 [1.950, 5.296]), and students with anxiety symptoms (AOR [95%CI], 2.655 [1.981, 3.557]) have a higher odds of lifetime cigarette smoking. The lifetime exposure to illicit drugs is higher among students in age groups between 20 and 24 years (AOR [95%CI], 5.963 [1.361, 26.135]), students coming from substance user family (AOR [95%CI], 2.172 [1.161, 4.063]), and students of urban origin (AOR [95%CI], 2.661 [1.202, 5.889]).

CONCLUSION

A higher prevalence of substance use requiring administrative and educational interventions was observed. Awareness creation interventions on the potential impacts of substance abuse should be performed.

Parental divorce and offspring smoking and alcohol use: a systematic review and meta-analysis of observational studies

OBJECTIVE

This study was conducted to investigate the relationship between parental divorce and smoking and alcohol consumption in offspring, which is based on a systematic review method and ultimately meta-analysis. Method: In a systematic search, three databases were selected. The manuscripts were searched based on the keywords and the time limit for the search was published manuscripts in English until November 2020. For the relationship between parental divorce and smoking/alcohol use in offspring, one main analysis, and four analyses based on sex, study design, adjusted level, and continents were performed. Result: Forty-three studies were synthesized from the collection of manuscripts. The odds of smoking in offspring whose parents were separated was 1.45 (CI 1.37-1.54) and this odds in men was equal to 1.38 (CI 1.11-1.71; Z = 2.91; p = 0.004; I² = 81.5%) and in women, 1.78 (CI 1.51-2.10; Z = 6.88; p < 0.001; I² = 69.6%). The odds of alcohol use in offspring whose parents were separated was 1.43 (CI 1.15-1.77) and this odds in men was equal to 1.69 (CI 1.16-2.47; Z = 2.73; p = 0.006; I² = 99.6%) and in women 1.79 (CI 1.07-2.99). Discussion: The findings of the present study can be used in health-related policies, prevention, and clinical interventions. This study was a subject with limitations, also.

Prevalence of current and former smoking in industrial workers worldwide: a systematic review and meta-analysis

OBJECTIVES

One of the health problems in recent decades is the prevalence of smoking in the world. In this study, the global prevalence of smoking in industrial workers was investigated using meta-analysis.

METHOD

The method of the present study was a systematic review and meta-analysis. Three scientific sources, PubMed, Web of Science, and Scopus, were selected for the search, and these databases were searched until September 2020. Random effects method was used for the analysis and then the analysis was performed for the type of smoking (Current, Former), gender, and continent. Heterogeneity was examined in all analyses.

RESULT

A total of 88 studies were included in the meta-analysis. The prevalence of smoking in industrial workers was 41% also the confidence interval was 35-48%. The prevalence of current smoking in industrial workers was 39% also the confidence interval was 29-48%. The prevalence of former smoking in industrial workers was 18% also the confidence interval was 13-22%. I² heterogeneity test was 99.9%.

DISCUSSION

From the findings of the present study, it can be seen that industrial workers are more exposed to smoking compared to the general population, and this can put their health at greater risk.

Population-based analysis of sociodemographic predictors, health-related quality of life and health service use associated with obstructive sleep apnoea and insomnia in Australia

Although there is growing recognition of the effects of living with sleep disorders and the important role of primary care in their identification and management, studies indicate that the detection of sleep apnoea (OSA) and insomnia may still be low. This large representative community-based study (n=2977 adults) used logistic regression models to examine predictors of self-reported OSA and current insomnia and linear regression models to examine the association of these sleep conditions with both mental and physical components of health-related quality of life (HRQoL) and health service use. Overall, 5.6% (95% confidence interval (CI) 4.6-6.7) and 6.8% (95% CI 5.7-7.9) of subjects self-reported OSA (using a single-item question) and current insomnia (using two single-item questions) respectively. Many sociodemographic and lifestyle predictors for OSA and insomnia acted in different directions or showed different magnitudes of association. Both disorders had a similar adverse relationship with physical HRQoL, whereas mental HRQoL was more impaired among those with insomnia. Frequent consultations with a doctor were associated with a lower physical HRQoL across these sleep conditions; however, lower mental HRQoL among those frequently visiting a doctor was observed only among individuals with insomnia. The adverse relationship between sleep disorders and physical and mental HRQoL was substantial and should not be underestimated.