Physical Activity Is Associated With Sleep Quality: Results of the ESSE-RF Epidemiological Study

Association of leisure-time physical activity and sleep quality among healthcare workers in China: a cross-sectional study

BACKGROUND

Growing evidence suggests that insufficient physical activity is a risk factor for poor sleep quality. However, few studies have investigated their relationship in healthcare workers. This study aims to fill this research gap by assessing the association between leisure-time physical activity and sleep quality among healthcare workers in China.

METHODS

Our data came from a cross-sectional study conducted from October to December 2022. Using stratified random sampling, we collected behavioral and health data from 2,896 healthcare workers in Shanghai. We applied multiple linear and logistic regressions to assess the association between leisure-time physical activity and sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI), controlling for confounders.

RESULTS

Among the 2,896 participants included in the analytical sample, the prevalence of sleep disturbance was 62.88% and the average PSQI score was 6.94 (SD = 3.45). Sleep disturbance was associated with nurses and other occupations, chronic diseases, stress, and increased workload. Leisure-time physical activity (OR = 0.770 (0.651, 0.911), p = 0.002) was a significant protective factor of sleep disturbance.

CONCLUSIONS

Leisure-time physical activity may be a protective factor for sleep quality among healthcare workers in China. Actionable policies and interventions, such as paid time off and subsidized gym membership, should be invested to increase physical activity among Chinese healthcare workers and, ultimately, improve their sleep quality and overall health.

Impact of different types of physical exercise on sleep quality in older population with insomnia: a systematic review and network meta-analysis of randomised controlled trials

OBJECTIVE

To measure the impact of each type of exercise on sleep quality and identify the exercise that enhances sleep quality the most.

STUDY SELECTION

Eligible randomised controlled trials that compare physical exercise to routine activities, usual care, non-physical activity, or health education to measure the Pittsburgh Sleep Quality Index.

DATA SOURCE

Studies retrieved from Medline, Embase, CINAHL, Scopus, ClinicalTrial.gov and ThaiJo from the database's inception to October 2022.

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently identified studies, collected data and assessed bias. In the absence of heterogeneity, a fixed effect model was used for pairwise meta-analysis. Alternatively, a random effect model was used. A two-stage network meta-analysis used the surface under the cumulative ranking curve (SUCRA) to compare exercise efficacy.

MAIN OUTCOME

Global Pittsburgh Sleep Quality Index (GPSQI) and subdomain score.

RESULTS

This review comprised 2170 people from 25 trials. Direct meta-analysis revealed significant improvement in GPSQI with combined exercise (unstandardised mean difference (USMD) -2.35, 95% CI-3.13 to -1.57, p<0.001, I2=69.13%). GPSQI decreased considerably with aerobic activity (USMD -4.36, 95% CI -7.86 to -0.86, p=0.01, I2=97.83%). For the network meta-analysis, strengthening, aerobic and combination exercise significantly lowered GPSQI (USMD-5.75, -3.76 and -2.54, respectively). Strength training improved GPSQI scores most effectively (SUCRA 94.6%).

CONCLUSION

Exercise that strengthens muscles, rather than aerobic or combination exercises, is the most effective way to enhance sleep quality.

A study on the relationship between high school students' sleep quality, physical exercise, academic stress, and subjective well-being

OBJECTIVE

This Research explores the intermediary function of academic stress and sleep quality in the connection between physical exercise and subjective well-being among high school students.

METHODS

This Research conducted an online survey through random sampling with a sample of 540 (males = 310, females = 217; grade 10 = 159, grade 11 = 190, grade 12 = 178) high school students to explore the intermediary function of academic stress and sleep quality between physical exercise and subjective well-being. The participants were surveyed using PSQI, the Subjective Well-Being Scale, the ESSA, and PSQI. SPSS Statistics 26 was used to conduct reliability and validity tests, descriptive statistics, and correlation analysis. Mediation analysis was conducted utilizing Model 6 from the PROCESS 4.0 plugin.

RESULTS

(1) Physical exercise shows a significant positive correlation with subjective well-being, and the direct impact of physical exercise on subjective well-being is also significant. (2) Physical exercise adversely affects academic stress and positively influences sleep quality. Academic stress negatively impacts sleep quality and subjective well-being, while sleep quality positively influences subjective well-being. (3) Academic stress and sleep quality serve as significant mediators between physical exercise and subjective well-being. The mediation effect encompasses two indirect paths: In one aspect, physical exercise has an indirect impact on subjective well-being through its influence on academic stress; in another aspect, physical exercise indirectly affects subjective well-being via the chain mediation effects of academic stress and sleep quality.

CONCLUSION

Physical exercise can directly influence the subjective well-being of high school students. Additionally, physical exercise can indirectly impact their subjective well-being through academic stress, and it can also indirectly influence their subjective well-being through the chain mediation effect of academic stress and sleep quality. Based on these findings, it is recommended that schools provide more opportunities for physical exercise, integrated with psychological counseling and sleep management, to help students effectively alleviate academic stress, thereby enhancing their overall well-being.

The Association Between Diets With High Inflammatory Potential and Sleep Quality and Its Parameters: A Systematic Review

CONTEXT

Dietary components or its overall properties can influence an individual's sleep status.

OBJECTIVE

The aim for this study was to critically search, appraise, and synthesize research evidence on the association between dietary inflammatory index (DII) and sleep quality and its parameters.

DATA SOURCES

Original published studies on adults were obtained from the PubMed, SCOPUS, ScienceDirect, Cochrane Library, and Google Scholar databases.

DATA EXTRACTION

The search was conducted without date limitation until April 2023. Duplicated and irrelevant investigations were screened out, and the results of the remaining articles were descriptively summarized, then critically appraised and analyzed. Possible mechanistic pathways regarding diet, systemic inflammation, and sleep status were discussed.

DATA ANALYSIS

Of the 102 studies searched, 23 articles (n = 4 cohort studies, 18 cross-sectional studies, and 1 intervention study) were included in the final review. The association between DII and sleep status was investigated subjectively in 21 studies and objectively in 6 studies. The main studied sleep outcomes were sleep quality, duration, latency, efficiency, apnea, disturbances, the use of sleeping medications, daytime dysfunctions, wakefulness after sleep onset, and rapid eye movement.

CONCLUSIONS

According to most of the evidence, DII may not be related to overall sleep quality, sleep duration, latency, efficiency, and the use of sleeping medications. The evidence of positive association was greater between a high DII score (pro-inflammatory diet) with daytime dysfunctions, wakefulness after sleep onset, and sleep apnea. There is insufficient evidence to make any conclusion regarding sleep disturbances and rapid eye movement.

Unraveling the relationship between sleep behaviors and physical activity in the United States: insights from 2015 to 2020 NHANES data

BACKGROUND

Physical activity is an important component of metabolic health. However, little is known about the impact of specific types/intensities of physical activity on sleep health, especially among ethnically diverse populations. We examined the association of various sleep behaviors with moderate to vigorous work/recreational activity.

METHODS

Self-reported data from the National Health and Nutrition Examination Survey 2015-2020 were cross-sectionally analyzed for a sample of 11,039 participants in the United States (U.S.). Weighted univariate logistic regressions determined unadjusted associations, while weighted multivariable regression models adjusting for age, sex, ethnicity, BMI categories, and socio-economic status assessed the multivariable associations with moderate and vigorous work/recreational activity. Stratified analyses were performed to determine across-group differences by ethnicity and BMI categories.

RESULTS

Of 11,039 adults (mean age 41 years), 50.7% were female, 59.8% were Non-Hispanic White, 17.8% Hispanic/Latino, 12% Non-Hispanic Black, 6.3% Non-Hispanic Asian, and 4.1% other/multiple ethnicities. Moderate work activity increased the odds of short sleep duration [aOR = 1.42; 95% CI: 1.22, 1.65], snoring [aOR = 1.45; 95% CI: 1.21, 1.73], breath cessation [aOR = 1.37; 95% CI: 1.18, 1.59], and daytime sleepiness [aOR = 1.63; 95% CI: 1.39, 1.91]. Vigorous recreational activity reduced the odds of short sleep duration [aOR = 0.81; 95% CI: 0.71, 0.94] and trouble sleeping [aOR = 0.83; 95% CI: 0.73, 0.96]. Stratified analyses indicated significant ethnicity-based differences in the odds of sleep behaviors across physical activity groups and increased odds of poor sleep behaviors among participants who were underweight, overweight or had obesity.

CONCLUSION

Work-related activity was significantly associated with suboptimal sleep behaviors while recreational activity was associated with favorable sleep behaviors. These associations were more pronounced among certain ethnic groups. Further longitudinal investigation is needed to examine the mechanism driving the relationship between sleep behaviors and physical activity.

Association Between Physical Activity and Sleep Health Among Community-Dwelling Adults Aged ≥50 in Ghana: The Mediating Role of Psychosomatic Factors

OBJECTIVES

Data on the direct and indirect associations between physical activity (PA) and sleep quality in old age via psychosomatic mechanisms (e.g. mobility, pain, loneliness, depression, and anxiety) remain scarce in low- and middle-income countries (LMICs). We explored the association of PA with poor sleep quality (PSQ) among individuals aged ≥ 50 in Ghana and explored the potential mediating factors in this association.

METHODS

We analyzed community-based data from the Aging, Health, Psychological Well-being, and Health-seeking Behavior Study. We assessed PA using the International Physical Activity Questionnaire (IPAQ). Two items on nighttime and daytime sleep problems in the last 30 days were used to measure PSQ. Multivariable ordinary least square (OLS) regressions and bootstrapping models were performed to evaluate the associations.

RESULTS

Overall, 1,201 participants (Mage = 66.15 ± 11.58 years; 63.3% female) were included in the analysis. PA was independently associated with decreased PSQ in the overall sample (B = -0.181, 95%I = -0.271 to -0.092) and in women (B = -0.195, 95%I = -0.305 to -0.084). The association was stronger in the ≥ 65 (B = -0.138) than in the 50-64 age group (B = -0.213). Mobility (37.06%), pain (23.66%), loneliness (6.71%), and comorbid anxiety and depression (8.95%) mediated the PA-PSQ association.

CONCLUSIONS

PA was associated with decreased PSQ levels, which was particularly explained by psychosomatic factors.

CLINICAL IMPLICATIONS

Clinicians encourage older adults to engage in regular PA and manage psychosomatic problems may improve their sleep health.

The chain mediating effect of psychological inflexibility and stress between physical exercise and adolescent insomnia

Exploring the impact of physical exercise on adolescent insomnia and the chained mediating role of psychological inflexibility and stress between them. In September 2023, a questionnaire survey was conducted among 416 adolescents in Xiangxi Prefecture, collecting data on physical activity, insomnia, psychological inflexibility, stress, and related variables. Statistical analysis was performed, involving 215 boys and 201 girls with an average age of 15.37 ± 0.54 years. (1) Adolescent physical exercise showed significant negative correlations with stress (r =-0.329, P < 0.01), Psychological inflexibility (r =-0.251, P < 0.01), and insomnia (r =-0.286, P < 0.01). Stress exhibited significant positive correlations with Psychological inflexibility (r = 0.746, P < 0.01) and insomnia (r = 0.601, P < 0.01). Psychological inflexibility also demonstrated a significant positive correlation with insomnia (r = 0.555, P < 0.01). (2) Psychological inflexibility and stress were found to mediate the relationship between physical exercise and adolescent insomnia. This study found that the relationship between physical exercise and adolescent insomnia can be mediated by psychological inflexibility and stress, thereby further enriching the understanding of the psychological mechanisms linking these variables. It is recommended that governments and schools implement corresponding measures to promote adolescent participation in physical exercise. These initiatives can help reduce adolescents' levels of Psychological Inflexibility, alleviate stress and insomnia issues, and simultaneously enhance their sleep quality, thereby promoting comprehensive development of their physical and mental health.

Prevalence of sleep disorders and association with various occupations among Indian population aged ≥ 45 years: Insight from Longitudinal Ageing Study in India (LASI)

Introduction

By scrutinizing the impact of job schedules, workplace culture and stress levels, our study aims to determine the prevalence of sleep disorders among various occupations and its associated factors. The findings promise to enhance the overall well-being, sleep quality and productivity in various occupational settings.

Methods

This is an analytical cross-sectional study involving secondary data from the nationally representative Longitudinal Ageing Study in India (LASI Wave I 2017-18) of 35 Indian states and union territories with exception of Sikkim. The study included 59441 Indian volunteers who older than 45 years. Multivariable logistic regression analysis was conducted to study the association of sleep disorders among various occupations while accounting for other associated factors.

Results

Prevalence of sleep disorders was higher among the females (12.66%), unemployed (13.34%), ≥ 60-yr age group (13.45%), those who lived in rural areas (12.35%), those who were illiterate (12.80%) and reported themselves to be widowed, separated or divorced (14.54%), people with no health insurance (11.74%), smokers (12.11%), without physical activity (12.67%) and also rated themselves as poor in the self-rated health status (26.77%). Alcohol consumption was not statistically significant factor for sleep disorders.

Conclusions

There is an emerging need for targeted screening, prompt detection and early management of insomnia and other sleep disorders among the high-risk groups. Provision of accessible and affordable screening tools, training skills for early diagnosis at primary care level and/or proper referral services to higher centres form the cornerstone for adequate management of sleep disorders.

The Role of Insomnia and Exercise in COVID-19 Worries for Psychological Distress in Hong Kong Chinese: A Moderated Mediation Model

OBJECTIVE

To examine the role of insomnia as a mediator between worrying and mental health and whether the association between worrying and insomnia is moderated by the levels of exercise frequency.

METHODS

A cross-sectional online survey was conducted during the fourth wave of the COVID-19 outbreak in Hong Kong (n = 988). Participants' insomnia, psychological distress, and exercise frequency were evaluated. A mediation analysis was performed to examine the direct effect of COVID-19 worries and their indirect effect through insomnia on psychological distress.

RESULTS

A significant indirect effect of COVID-19 worries through insomnia was found on psychological distress (beta = 0.18, SE = 0.02, 95% CI = 0.14-0.22, p < .001). The significant index of moderated mediation supported the moderating effect of exercise frequency on the indirect effect of COVID-19 worries on psychological distress (IMM = 0.06, SE = 0.02, 95% CI = 0.02-0.10, p = .006). The conditional indirect effects of insomnia on psychological distress were significant in individuals with mean and higher exercise frequency but not in those with lower exercise frequency.

CONCLUSION

COVID-19 worries increased psychological distress through the worsening of sleep, and such an array of COVID-19 worries on insomnia was moderated by exercise frequency. Engaging more frequent exercise could reduce insomnia in people with less COVID-19 worries.

Impact of sleep quality and physical activity on blood pressure variability

Increased blood pressure variability (BPV) is linked to cardiovascular disease and mortality, yet few modifiable BPV risk factors are known. We aimed to assess the relationship between sleep quality and activity level on longitudinal BPV in a cohort of community-dwelling adults (age ≥18) from 17 countries. Using Withings home measurement devices, we examined sleep quality and physical activity over one year, operationalized as mean daily step count and number of sleep interruptions, both transformed into tertiles. The primary study outcome was high BPV, defined as the top tertile of systolic blood pressure standard deviation. Our cohort comprised 29,375 individuals (mean age = 58.6 years) with 127.8±90.1 mean days of measurements. After adjusting for age, gender, country, body mass index, measurement days, mean blood pressure, and total time in bed, the odds ratio of having high BPV for those in the top tertile of sleep interruptions (poor sleep) was 1.37 (95% CI, 1.28-1.47) and 1.44 (95% CI, 1.35-1.54) for those in the lowest tertile of step count (physically inactive). Combining these exposures revealed a significant excess relative risk of 0.20 (95% CI, 0.04-0.35, p = 0.012), confirming their super-additive effect. Comparing individuals with the worst exposure status (lowest step count and highest sleep interruptions, n = 2,690) to those with the most optimal status (highest step count and lowest sleep interruptions, n = 3,531) yielded an odds ratio of 2.01 (95% CI, 1.80-2.25) for high BPV. Our findings demonstrate that poor sleep quality and physical inactivity are associated with increased BPV both independently and super-additively.

Associations of Anxiety, Insomnia, and Physical Activity during the COVID-19 Pandemic

PURPOSE

Anxiety, insomnia, and physical activity (PA) are interrelated, but the bi-directional relationships between these three variables are not well understood. Less is known of these relationships in settings of disrupted daily activities and acute stress. This study aimed to characterize and examine relationships between insomnia, anxiety, and PA throughout the first year of the COVID-19 pandemic, when many lifestyle behaviors were disrupted.

METHODS

Participants comprised a convenience sample of 204 adults (55.4% female; 43.85 ± 15.85 years old) who completed the Generalized Anxiety Disorder Questionnaire (GAD-7), Insomnia Severity Index (ISI), and the International Physical Activity Questionnaire (IPAQ) at three time points through the first year of the COVID-19 pandemic. A cross-lagged panel model was used to evaluate these variables' concurrent, autoregressive, and cross-lagged relationships across time. Follow-up dynamic panel modeling using maximum likelihood and structural equation modeling was employed.

RESULTS

Approximately 64% of participants reported their work/occupation as affected by the pandemic. At baseline, associations between anxiety and insomnia were observed (β-coefficient: 15.87; p < 0.001). Insomnia was a positive future predictor of anxiety (ISI time point 2: 7.9 ± 5.6 points; GAD-7 at time point 3: 4.1 ± 4.2 points; β-coefficient: 0.16; p < 0.01). No associations were observed between PA and anxiety or insomnia (all p > 0.05).

CONCLUSIONS

Insomnia and anxiety were interrelated, and effects were cross-lagged. These data can inform future work focused on improving anxiety in settings of acute stress and disruptions to daily life, such as changes in occupational structure and stability. Specifically, targeting sleep parameters may be of interest to elicit downstream positive health behaviors.

Association between ergonomic risk exposures and insomnia symptoms: a mediation analysis of the 5th Korean working conditions survey

BACKGROUND

This study investigates the relationship between ergonomic risk exposures and insomnia symptoms, using data representative of Korea's general working population.

METHODS

Data from the 5th Korean Working Conditions Survey were used for this study. The eligible population (employees) for the current study was 37,026. Insomnia symptoms were estimated using the minimal insomnia symptom scale (MISS) questionnaire. Logistic regression analysis was conducted to explore the association between ergonomic risks and insomnia symptoms.

RESULTS

All the investigated ergonomic risks increased odd ratios (ORs) for insomnia symptoms: Tiring or painful positions (OR, 1.64; 95% CI, 1.43-1.88); lifting or moving heavy loads (OR, 2.33; 95% CI, 1.99-2.71); long periods of standing (OR, 1.47; 95% CI, 1.29-1.69); and repetitive hand or arm movements (OR, 1.46; 95% CI, 1.29-1.67). The mediated proportion of musculoskeletal pain was 7.4% (95% CI, 5.81-10.13), and the mediated proportion of feeling of exhaustion was 17.5% (95% CI, 5.81-10.13).

CONCLUSIONS

This study provides evidence for the relationship between ergonomic risks and insomnia symptoms, for which musculoskeletal pains and the feeling of exhaustion may be potential mediators.

Examining Human-Smartphone Interaction as a Proxy for Circadian Rhythm in Patients With Insomnia: Cross-Sectional Study

BACKGROUND

The sleep and circadian rhythm patterns associated with smartphone use, which are influenced by mental activities, might be closely linked to sleep quality and depressive symptoms, similar to the conventional actigraphy-based assessments of physical activity.

OBJECTIVE

The primary objective of this study was to develop app-defined circadian rhythm and sleep indicators and compare them with actigraphy-derived measures. Additionally, we aimed to explore the clinical correlations of these indicators in individuals with insomnia and healthy controls.

METHODS

The mobile app "Rhythm" was developed to record smartphone use time stamps and calculate circadian rhythms in 33 patients with insomnia and 33 age- and gender-matched healthy controls, totaling 2097 person-days. Simultaneously, we used standard actigraphy to quantify participants' sleep-wake cycles. Sleep indicators included sleep onset, wake time (WT), wake after sleep onset (WASO), and the number of awakenings (NAWK). Circadian rhythm metrics quantified the relative amplitude, interdaily stability, and intradaily variability based on either smartphone use or physical activity data.

RESULTS

Comparisons between app-defined and actigraphy-defined sleep onsets, WTs, total sleep times, and NAWK did not reveal any significant differences (all P>.05). Both app-defined and actigraphy-defined sleep indicators successfully captured clinical features of insomnia, indicating prolonged WASO, increased NAWK, and delayed sleep onset and WT in patients with insomnia compared with healthy controls. The Pittsburgh Sleep Quality Index scores were positively correlated with WASO and NAWK, regardless of whether they were measured by the app or actigraphy. Depressive symptom scores were positively correlated with app-defined intradaily variability (β=9.786, SD 3.756; P=.01) and negatively correlated with actigraphy-based relative amplitude (β=-21.693, SD 8.214; P=.01), indicating disrupted circadian rhythmicity in individuals with depression. However, depressive symptom scores were negatively correlated with actigraphy-based intradaily variability (β=-7.877, SD 3.110; P=.01) and not significantly correlated with app-defined relative amplitude (β=-3.859, SD 12.352; P=.76).

CONCLUSIONS

This study highlights the potential of smartphone-derived sleep and circadian rhythms as digital biomarkers, complementing standard actigraphy indicators. Although significant correlations with clinical manifestations of insomnia were observed, limitations in the evidence and the need for further research on predictive utility should be considered. Nonetheless, smartphone data hold promise for enhancing sleep monitoring and mental health assessments in digital health research.

Sleep, activity, and diet in harmony: unveiling the relationships of chronotype, sleep quality, physical activity, and dietary intake

Introduction

This cross-sectional study aims to explore the intricate relationships among chronotype, sleep quality, physical activity, and dietary intake in a diverse cohort of 3,072 (50.2% female) participants residing in İstanbul, Türkiye.

Methods

This study utilized established measurement tools, including the Morningness-Eveningness Questionnaire (MEQ) to assess chronotype, the Pittsburgh Sleep Quality Index (PSQI) to evaluate sleep quality, the International Physical Activity Questionnaire Short Form (IPAQ-SF) to measure physical activity, and a 24-h dietary recall method to assess dietary intake.

Results

The findings of this study revealed compelling associations. Firstly, a robust association was observed between sleep quality and chronotype (OR: 2.265; 95% CI: 1.954-2.626; p < 0.001) as well as physical activity (OR: 0.836; 95% CI: 0.750-0.932; p = 0.002). Specifically, evening chronotypes are more likely to have poor sleep quality, while highly active individuals tend to report lower sleep quality. Transitioning from inactivity to high activity was associated with a 16.4% increase in the odds of transitioning from normal to poor sleep, while a shift from an evening to a morning chronotype was linked to a substantial 126.5-fold increase in the odds of moving from poor to normal sleep. Additionally, morning chronotypes also display distinctive dietary patterns, characterized by higher energy, protein, and fat intake, and reduced carbohydrate intake. Poor sleep quality is associated with increased energy and macronutrient consumption.

Discussion

These findings underscore the intricate relationships of chrononutrition within the context of sleep quality, physical activity, and dietary choices. The study underscores the significance of personalized interventions to effectively address specific health behaviors, highlighting the complexity of chrononutrition's role in promoting overall health and wellbeing.

Prevalence of depression, anxiety and suicidal ideas and associated factors, in particular sensory impairments, in a population of Bashkortostan in Russia

To assess prevalence and associated factors of depression, anxiety and suicidal ideas in populations from Russia, we conducted in rural and urban regions in Bashkortostan/Russia two population-based studies (Ural Eye and Medical Study (UEMS), performed from 2015 to 2017; Ural Very Old Study (UVOS), performed from 2017 to 2020) which included participants aged 40 + years and 85 + years, respectively. Depression was assessed using the questionnaire of the Center for Epidemiologic Studies Depression Scale Scoresheet, and anxiety was examined applying the State Trait Inventory Anxiety Test. Suicidal ideas were explored by the question whether suicide had previously been thought of or attempted (and if yes, for what reasons). In the statistical analysis we assessed the mean of the main outcome parameter (depression score and anxiety score) and searched for associations between these parameters and other parameters in univariable and multivariable regression analyses. In the UEMS with 5893 individuals (age: 59.0 ± 10.7 years; range 40-94 years), higher depression score and anxiety score were associated (multivariable analysis) with more marked hearing loss (beta: 0.07; P < 0.001, and beta: 0.07; P < 0.0012, respectively) and worse visual acuity (beta: 0.04; P = 0.02; and beta: 0.03; P = 0.03, resp.), in addition to female sex, Russian ethnicity, lower educational level, less alcohol consumption, weaker hand grip strength, less physical activity, and higher prevalence of dry eye disease. Attempted suicide was reported by 88 (1.5%; 95% CI 1.2, 1.8) participants. Having thought of suicide within the last 6 months was reported by 63 (1.1%) individuals. Out of 1491 UVOS participants (age: 88.2 ± 2.8 years; range 85-100 years) with a mean depression score of 20.0 ± 10.3 (median 18; range 0-58), 916 (61.4%; 95% CI 59.0, 63.9) fulfilled the definition of depression (depressions core ≥ 16). Higher depression score and higher anxiety score correlated (multivariable analysis) with higher hearing loss score (beta: 0.07; P = 0.02, and beta: 0.08; P = 0.009, resp.) and worse visual acuity (beta: 0.13; P < 0.001, and beta: 0.09; P = 0.007, resp.), in addition to female sex, urban region, less physical activity, less fruit intake, and lower cognitive function. Overall, 15 (1.0%; 95% CI 0.50, 1.50) individuals had attempted or thought of suicide. In conclusion, the findings suggest that besides female sex, lower level of education and lower cognitive function, it was sensory impairment, namely vision and hearing impairment, which belonged to the determinants of depression and anxiety in these populations from Russia.

Association of Sociodemographic Factors with Physical Activity and Sleep Quality in Arab and Non-Arab Individuals of Both Sexes during the COVID-19 Pandemic

We explored the association of sociodemographic and anthropometric factors with self-reported physical activity (PA) and sleep quality in Arab and non-Arab individuals of both sexes during the COVID-19 pandemic. In this cross-sectional study, 638 participants (those recovered from COVID-19 = 149, and non-infected = 489) of both sexes aged 18-55 years were recruited. Their sociodemographic and anthropometric information, PA (self-reported using the International Physical Activity Questionnaire Short-form [IPAQ-SF)]) and sleep quality (self-reported using the Pittsburgh Sleep Quality Index [PSQI]) were documented. The association between participants' characteristics, PA levels, and sleep quality were determined using the chi-squared test. Variables significantly associated with IPAQ and PSQI in bivariate analyses were included in a multivariate binary logistic regression model. Men were more active than women (odds ratio [OR] = 1.66, p = 0.010), and non-Arab participants were more active than Arab ones (OR = 1.49, p = 0.037). Participants ≥40 years, men, non-Arab participants, and those who were working were more likely to have a good sleep quality than those ≤40 years (OR 1.70, p = 0.048), women (OR 1.10, p = 0.725), Arab individuals (OR 1.95, p = 0.002), and unemployed people (OR 2.76, p = 0.007). Male and non-Arab participants seemed to have a better self-reported PA and sleep quality compared to female and Arab participants, during the pandemic.

The Effect of Physical Activity on Sleep Quality and Sleep Disorder: A Systematic Review

Regular physical activity has several health benefits, including improved sleep quality and symptoms of sleep disorders. With the known benefits of moderate-intensity activities to sleep quality and a growing interest in using physical activity as a treatment approach for different sleep disorders, we conducted a systematic review to provide evidence-based data on the association between physical activity and sleep. A systematic search was carried out in PubMed, Embase, MEDLINE (Medical Literature Analysis and Retrieval System Online), Google Scholar, and Scopus, using predetermined search terms (Medical Subject Headings (MeSH) terms) and keywords. The included studies focused on exploring the effect of physical activity on sleep quality and sleep disorders or the association between physical activity and sleep outcomes. Relevant data were extracted, and the quality of the studies was evaluated using suitable methods. The collected findings were synthesized and discussed. The findings of this systematic review have potential implications for healthcare, public health policies, and health promotion.

Aerobic, muscle-strengthening, and flexibility physical activity and risks of all-cause and cause-specific mortality: a population-based prospective cohort of Korean adults

BACKGROUND

Studies have shown that aerobic and muscle-strengthening physical activities reduce mortality risk. However, little is known about the joint associations of the two activity types and whether other type of physical activity, such as flexibility activity, can provide similar mortality risk reduction.

OBJECTIVES

We examined the independent associations of aerobic, muscle-strengthening, and flexibility physical activities with all-cause and cause-specific mortality in a population-based prospective cohort of Korean men and women. We also examined the joint associations of aerobic and muscle-strengthening activities, the two physical activity types that are recommended by the current World Health Organization physical activity guidelines.

DESIGN

This analysis included 34,379 Korea National Health and Nutrition Examination Survey 2007-2013 participants (aged 20-79 years) with mortality data linkage through December 31, 2019. Engagement in walking, aerobic, muscle-strengthening, and flexibility physical activities was self-reported at baseline. Cox proportional hazards model was performed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for potential confounders.

RESULTS

Flexibility physical activity (≥ 5 vs. 0 d/wk) was inversely associated with all-cause (HR [95% CI] = 0.80 [0.70-0.92]; P-trend < 0.001) and cardiovascular mortality (0.75 [0.55-1.03], P-trend = 0.02). Moderate- to vigorous-intensity aerobic physical activity (≥ 50.0 vs. 0 MET-h/wk) was also associated with lower all-cause (HR [95% CI] = 0.82 [0.70-0.95]; P-trend < 0.001) and cardiovascular mortality (0.55 [0.37-0.80]; P-trend < 0.001). Similar inverse associations were observed with total aerobic physical activity, including walking. Muscle-strengthening activity (≥ 5 vs. 0 d/wk) was inversely associated with all-cause mortality (HR [95% CI] = 0.83 [0.68-1.02]; P-trend = 0.01) but was not associated with cancer or cardiovascular mortality. Compared to participants meeting the highest guidelines for both moderate- to vigorous-intensity aerobic and muscle-strengthening physical activities, those not meeting in any guideline were associated with higher all-cause (1.34 [1.09-1.64]) and cardiovascular mortality (1.68 [1.00-2.82]).

CONCLUSIONS

Our data suggest that aerobic, muscle-strengthening, and flexibility activities are associated with lower risk of mortality.

Feasibility and effect of emotional freedom therapy on sleep quality in patients with end-stage renal disease receiving maintenance hemodialysis: A pilot study

OBJECTIVE

To explore the feasibility and efficacy of emotional freedom therapy (EFT) in improving sleep quality and managing negative emotions in end-stage renal disease patients on maintenance hemodialysis.

METHODS

Between May 2021 and February 2022, 66 maintenance hemodialysis patients with sleep problems were recruited and randomized into an intervention and control group. The intervention group underwent a 12-week intervention of EFT. Two groups' hospital anxiety depression scale (HADS) scores, Pittsburgh sleep quality index (PSQI), and interdialysis weight gain (IDWG) before and one week after the formal intervention were collected and compared. Feasibility analysis was performed using a feasibility questionnaire and in-depth interviews with patients.

RESULTS

Before the intervention, there was no statistical difference in the anxiety, depression, PSQI scores and IDWG between the two groups. After balancing the effects of gender and pre-intervention scores, two-way ANCOVA results showed that there were statistically significant differences between the two groups after the intervention in terms of anxiety, depression, sleep quality, sleep duration, daytime dysfunction and PSQI total score. However, interactions effect for IDWG was statistically significant. Simple effects analysis revealed a difference in post-intervention IDWG between the intervention and control groups for patients over 65 (p < 0.05). Most patients agreed or strongly agreed that the EFT was easy to schedule and they did not experience difficulties during learning the EFT process (respectively 75% and 71.88%). And 75% of the participants were willing to continue practicing EFT. Qualitative content analysis identified five prominent categories related to feasibility and acceptability: affirmation, benefits, communication, support and trust.

CONCLUSION

EFT can relieve anxiety and depression, enhance sleep quality, and improve the physical condition of patients with end-stage renal disease receiving maintenance hemodialysis. As well, the EFT intervention is practicable, acceptable, and perceived as being beneficial to the patient.

Associations of accelerometer-measured physical activity, sedentary behavior with self-reported insomnia in older women: Does pattern matter?

AIMS

Insomnia is a common sleep disorder that widely occurs in older population, especially older women. This study aims to investigate the associations between accelerometer-measured physical activity (PA) and sedentary behavior (SB) patterns with insomnia in older Chinese women.

METHODS

Cross-sectional data derived from the baseline survey of the Physical Activity and Health in Older Women Study were analyzed for 1112 older women aged 60 to 70. Insomnia was evaluated using Athens Insomnia Scale. PA and SB patterns were measured through an accelerometer. Multivariate logistic regression was used to investigate associations of PA and SB patterns with insomnia.

RESULTS

All SB variables were positively associated with insomnia, with multivariate-adjusted ORs of 1.24, 1.19 and 1.19 for 60-min increase of total SB, 10min-bouted SB and 30min-bouted SB, respectively. Total LPA and bouted LPA were negatively associated with insomnia, with multivariate-adjusted ORs of 0.90 and 0.89 for 30-min increase of total LPA and bouted LPA, respectively.

CONCLUSION

Avoiding SB and encouraging LPA engagement may hold promise in preventing insomnia and promoting sleep in older population. Future studies with experimental study design and follow-up periods are warranted to illustrate the causal associations.

Opal Actigraphy (Activity and Sleep) Measures Compared to ActiGraph: A Validation Study

Physical activity and sleep monitoring in daily life provide vital information to track health status and physical fitness. The aim of this study was to establish concurrent validity for the new Opal Actigraphy solution in relation to the widely used ActiGraph GT9X for measuring physical activity from accelerometry epic counts (sedentary to vigorous levels) and sleep periods in daily life. Twenty participants (age 56 + 22 years) wore two wearable devices on each wrist for 7 days and nights, recording 3-D accelerations at 30 Hz. Bland-Altman plots and intraclass correlation coefficients (ICCs) assessed validity (agreement) and test-retest reliability between ActiGraph and Opal Actigraphy sleep durations and activity levels, as well as between the two different versions of the ActiGraph. ICCs showed excellent reliability for physical activity measures and moderate-to-excellent reliability for sleep measures between Opal versus Actigraph GT9X and between GT3X versus GT9X. Bland-Altman plots and mean absolute percentage error (MAPE) also show a comparable performance (within 10%) between Opal and ActiGraph and between the two ActiGraph monitors across activity and sleep measures. In conclusion, physical activity and sleep measures using Opal Actigraphy demonstrate performance comparable to that of ActiGraph, supporting concurrent validation. Opal Actigraphy can be used to quantify activity and monitor sleep patterns in research and clinical studies.

From good sleep to health and to quality of life – a path analysis of determinants of sleep quality of working adults in Abu Dhabi

Background

Sleep quality has significant impacts on many aspects of quality of life. Therefore, identifying the association of sleep quality with that quality of life domains could lead to deeper insights for social policymakers and professionals to enhance their understanding of the lives of Abu Dhabi working adults. This research focuses on sleep quality among working people in Abu Dhabi. The direct and indirect associations of sleep quality with various quality-of-life domains such as income and housing, physical and mental health, sport and activities, eating habits and obesity, work-life balance, online hours, and social connections are investigated and discussed.

Methods

Data were drawn from 36,515 full-time employees in both public, and private sectors, obtained from the third Abu Dhabi Quality of Life (QoL) survey aimed to cover all community members using online platforms. Informed by international research on sleep quality, preliminary investigation using correlation analysis and simple regression identified many well-being variables deemed necessary for inclusion in the path model. Path analysis was then performed.

Results

The final path model produced excellent fit measures. The significant variables directly associated with sleep quality included sleeping hours, social connection, satisfaction with income, satisfaction with residence, subjective physical and mental health, income satisfaction, satisfaction with the surrounding environment, frequency of eating healthy food, work-life balance, and online time. In addition, most variables recorded an indirect association to sleep quality through subjective health.

Conclusions

The importance of multidimensional linkages between many well-being factors influencing sleep quality and subjective health is underscored.

Endogenous circadian temperature rhythms relate to adolescents' daytime physical activity

Circadian rhythms relate to multiple aspects of health and wellbeing, including physical activity patterns. Susceptible circadian regulation predisposes to circadian misalignment, poor sleep, sleep deprivation, increased sleepiness, and thereby sedentary behavior. Adolescents' circadian regulation is particularly vulnerable, and may lead to sedentary behavior. To investigate which factors associate strongest between physical activity (PA) and circadian behavior, we conducted multimodal circadian rhythm analyses. We investigate how individual characteristics of habitual circadian patterns associate with objectively measured PA. We studied 312 adolescents [70% females) (56% with delayed sleep phase (DSP)], mean age 16.9 years. Circadian period length, temperature mesor (estimated 24 h midline) and amplitude (difference between mesor and peak) were measured using distally attached thermologgers (ibutton 1922L, 3-day-measurement). We additionally utilized algorithm-formed clusters of circadian rhythmicity. Sleep duration, timing, DSP, and PA were measured using actigraphs (GeneActiv Original, 10-day-measurement). We found that continuous circadian period length was not associated with PA, but lower mesor and higher amplitude were consistently associated with higher levels of PA as indicated by mean Metabolic Equivalent (METmean) and moderate-to-vigorous PA (MVPA), even when controlling for sleep duration. Separate circadian clusters formed by an algorithm also reflected distinct patterns of PA accordingly. Late sleepers and those with DSP were less likely to engage in MVPA compared to non-DSP and had more sedentary behavior. Adolescents who engage in higher levels or high-intensity PA have better circadian regulation, as measured by different objective methods including distal temperature measurements as well as actigraphy-measured sleep-wake behavior.

The Association Between Regular Physical Exercise, Sleep Patterns, Fasting, and Autophagy for Healthy Longevity and Well-Being: A Narrative Review

This narrative review of the literature assessed whether regular physical exercise and sleep patterns, fasting and autophagy, altogether can be an adequate strategy for achieving healthy longevity and well-being within different stage of life. There are a large number of studies dealing with well-being and healthy longevity; however, few of them have given us a specific formula for how to live long and healthy. Despite all the advances that have been made to create adequate physical exercise programs, sleep patterns or nutritional protocols, the relation between different types of fasting, nutritional supplementation as well as regular physical exercise and sleep patterns have not yet been satisfactorily resolved to cause the best effects of autophagy and, therefore, well-being and healthy longevity. In this way, future studies should clarify more efficiently the relationship between these variables to understand the association between regular physical exercise, sleep patterns, fasting and autophagy for healthy longevity and well-being.