Effects of physical activity programs on sleep outcomes in older adults: a systematic review

Vanderlinden, Julie; Boen, Filip; Uffelen, Jannique van

doi:10.1186/s12966-020-0913-3

Cited by 146 publications

(128 citation statements)

References 100 publications

Supporting

Mentioning

105

Contrasting

Unclassified

Order By: Relevance

“…Moreover, supporting low and high sleepers to be more physically active when awake may have an additional secondary benefit associated with improved sleep. Although inconclusive, there is emerging evidence in older adult populations indicating that an increase in physical activity can be associated with better sleep duration and sleep quality (47,48). We found that younger age was associated with a greater likelihood for allocation to a balanced activity profile; however, despite being a statistically significant factor, age was only marginally associated with profile allocation.…”

Section: Discussionmentioning

confidence: 56%

Twenty‐Four Hour Activity and Sleep Profiles for Adults Living with Arthritis: Habits Matter

Feehan

Xie

et al. 2020

Arthritis Care & Research

View full text Add to dashboard Cite

Objective. To identify 24-hour activity-sleep profiles in adults with arthritis and explore factors associated with profile membership. Methods. Our study comprised a cross-sectional cohort and used baseline data from 2 randomized trials studying activity counseling for people with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), or knee osteoarthritis (OA). Participants wore activity monitors for 1 week and completed surveys for demographic information, mood (Patient Health Questionnaire 9), and sitting and walking habits (Self-Reported Habit Index). A total of 1,440 minutes/day were stratified into minutes off body (activity unknown), sleeping, resting, nonambulatory, and intermittent or purposeful ambulation. Latent class analysis determined cluster numbers; baseline-category multinomial logit regression identified factors associated with cluster membership. Results. Our cohort included 172 individuals, including 51% with RA, 30% with OA, and 19% with SLE. We identified 4 activity-sleep profiles (clusters) that were characterized primarily by differences in time in nonambulatory activity: high sitters (6.9 hours sleep, 1.6 hours rest, 13.2 hours nonambulatory activity, and 1.6 hours intermittent and 0.3 hours purposeful walking), low sleepers (6.5 hours sleep, 1.2 hours rest, 12.2 hours nonambulatory activity, and 3.3 hours intermittent and 0.6 hours purposeful walking), high sleepers (8.4 hours sleep, 1.9 hours rest, 10.4 hours nonambulatory activity, and 2.5 hours intermittent and 0.3 hours purposeful walking), and balanced activity (7.4 hours sleep, 1.5 hours sleep, 9.4 hours nonambulatory activity, and 4.4 hours intermittent and 0.8 hours purposeful walking). Younger age (odds ratio [OR] 0.95 [95% confidence interval (95% CI) 0.91-0.99]), weaker occupational sitting habit (OR 0.55 [95% CI 0.41-0.76]), and stronger walking outside habit (OR 1.43 [95% CI 1.06-1.91]) were each associated with balanced activity relative to high sitters. Conclusion. Meaningful subgroups were identified based on 24-hour activity-sleep patterns. Tailoring interventions based on 24-hour activity-sleep profiles may be indicated, particularly in adults with stronger habitual sitting or weaker walking behaviors. INTRODUCTION Adults with arthritis may not be able to spend much time in higher intensity physical activities due to activity limitations (1). Consequently, they may not be able to meet the aerobic activity guideline of getting at least 2.5 hours of moderate-to-vigorous physical activity (MVPA) every week (2-5). Arthritis-related pain, fatigue, limited joint and muscle function, or mood disruption may contribute to increased sedentary activity and less walking or impact sleep quality and quantity (1,6-8). Such pain may, in turn, have implications for a person's overall health, as being physically inactive and having insufficient (<6 hours) or excessive (>9 hours) sleep are independently associated with higher risk of all-cause mortality (8-14), including in people with arthritis (15). Supporting someone to be ph...

show abstract

Section: Discussionmentioning

confidence: 56%

Twenty‐Four Hour Activity and Sleep Profiles for Adults Living with Arthritis: Habits Matter

Feehan

Xie

et al. 2020

Arthritis Care & Research

View full text Add to dashboard Cite

show abstract

“…During this period, the actual frequency of nightshifts for the healthcare workers was not as high as usual (2.97 ± 1.37 vs. 4.99 ± 0.35 days, respectively). Furthermore, because the healthcare workers still had to work a certain number of days, they still participated in moderate physical activity and experienced moderate not excessive fatigue, which might have led to better sleep quality [ 21 ]. Another possible reason was that an appropriate work time ensured the proficiency of clinical work [ 22 ], which was also supported by another observation in this study that the years of work experience were negatively associated with sleep quality.…”

Section: Discussionmentioning

confidence: 99%

Job-related factors associated with changes in sleep quality among healthcare workers screening for 2019 novel coronavirus infection: a longitudinal study

Zhao

Zhang

et al. 2020

Sleep Medicine

View full text Add to dashboard Cite

Background Sleep disorders may exacerbate many physical and mental health conditions, causing difficulty function in a healthcare setting. Workers screening for the 2019 novel coronavirus (2019-nCoV) infection have a high risk of not only occupational exposure to the virus but also sleep disorders. However, the job-related factors associated with reduced sleep quality remain unclear. Methods All healthcare workers temporarily scheduled to screen the 2019-nCoV patients were asked to complete a self-administered questionnaire that included questions on demographics, job-related factors, and sleep quality as assessed using the Pittsburgh Sleep Quality Index (PSQI). Sleep quality was assessed over a one-month follow-up period. Results A total of 116 doctors and 99 nurses were recruited for this study. The total scheduled work time was 14.78 ± 6.69 days during follow-up. Some job-related factors, such as number of work days, years of work experience, and subjective psychological stress, were associated with changes in the PSQI score. During the study, some workers tried out cognitive behavioral therapy (CBT) for sleep disorders using methods that were available online and easily accessible. Adopting online CBT was shown to be associated with scores of components of sleep quality, sleep latency, and sleep disturbance (β = −0.152, P = 0.01; β = −0.175, P = 0.008; and β = −0.158, P = 0.011, respectively). Conclusions Healthcare workers involved in screening for 2019-nCoV experienced reduced sleep quality, and a reasonable work schedule may help with maintaining sleep quality. In addition, interventions for healthcare workers should target self-help sleep assistance.

show abstract

“…This study reconfirmed protective effects of exercise on residents' sleep quality during the COVID-19 epidemic. Previous studies have analyzed protective mechanisms of exercise on sleep conditions in different populations [ [27] , [28] , [29] ]. To contain the outbreak and spread of the disease, China adopted strict preventive and control measures such as isolation of close contacts and city lockdowns during the outbreak [ 3 , 4 ], which will inevitably restrict travels and outdoor exercise of Chinese residents.…”

Section: Discussionmentioning

confidence: 99%

Sleep disturbances among Chinese residents during the Coronavirus Disease 2019 outbreak and associated factors

et al. 2020

View full text Add to dashboard Cite

Objectives Sleep status can affect the body's immune status and mental health. This study aims to investigate the sleep status of Chinese residents during the outbreak of Coronavirus Disease 2019 (COVID-19) and to evaluate its related risk factors. Methods This research carried out a cross-sectional survey in February 2020 (during the COVID-19 outbreak) to investigate the sleep status of residents nationwide in the form of an online questionnaire. Of the 8151 respondents, 6437 were eventually included in the analysis. Logistic regression is applied to analyze the associated factors affecting residents' sleep quality. Results During the COVID-19 outbreak, the incidence of sleep disturbances in residents was 17.65%. Increased risk of sleep disturbances was found to be associated with older age, female gender, and poor self-reported health status. Moreover, the odds ratios (ORs) were 1.42 (95% CI: 1.1–2.64), 1.35 (95% CI: 1.16–1.59), 5.59 (95% CI: 4.32–7.23), respectively. Those residents who believed COVID-19 had caused a high number of deaths or who thought COVID-19 was not easy to cure were more likely to experience sleep disorders, and the ORs were 1.73 (95% CI: 1.43–2.09), 1.57 (95% CI: 1.29–1.91), respectively. Regular exercise was a protective factor for sleep disturbances, OR = 0.77 (95% CI: 0.63–0.93). Conclusions During the outbreak of COVID-19, nearly one-fifth of participants had sleep disorders. It is necessary to pay more attention to people at high risk for sleep disturbances during the outbreak, adopt effective risk communication methods, enhance residents' rational understanding of COVID-19, and develop practical indoor exercise programs for general public to improve sleep quality.

show abstract

Effects of physical activity programs on sleep outcomes in older adults: a systematic review

Cited by 146 publications

References 100 publications

Twenty‐Four Hour Activity and Sleep Profiles for Adults Living with Arthritis: Habits Matter

Twenty‐Four Hour Activity and Sleep Profiles for Adults Living with Arthritis: Habits Matter

Job-related factors associated with changes in sleep quality among healthcare workers screening for 2019 novel coronavirus infection: a longitudinal study

Sleep disturbances among Chinese residents during the Coronavirus Disease 2019 outbreak and associated factors

Contact Info

Product

Resources

About