scholarly journals The Association Between Physical Activity, Sitting Time, Sleep Duration, and Sleep Quality as Correlates of Presenteeism

2015 ◽  
Vol 57 (3) ◽  
pp. 321-328 ◽  
Author(s):  
Diana Guertler ◽  
Corneel Vandelanotte ◽  
Camille Short ◽  
Stephanie Alley ◽  
Stephanie Schoeppe ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sitting Time

Behavioral Correlates of Depression Among Adults with Visual Impairments

2021 ◽  
pp. 0145482X2110466
Author(s):  
Justin A. Haegele ◽  
Xihe Zhu ◽  
Sean Healy
Keyword(s):  
Physical Activity ◽  
Visual Impairment ◽  
Sleep Duration ◽  
Visual Impairments ◽  
The United States ◽  
Sitting Time ◽  
Hierarchical Regression ◽  
Regression Analyses ◽  
The Impact ◽  
Negative Predictor

Introduction: This study sought to examine: (a) the associations between physical activity, sedentary time, and sleep duration, as discrete behaviors, with depression among adults with visual impairments; and (b) the impact of meeting none, one, two, or three of the guidelines for these behaviors on depression among adults with visual impairments. Materials: One hundred eighty-two ( Mage = 44.8) adults with visual impairments, recruited via email through two visual impairment organizations in the United States, completed the International Physical Activity Questionnaire–Short Form, a sleep duration question, the Major Depression Inventory, and a demographic questionnaire. Based on results from the questionnaires, dichotomous variables for meeting or not meeting physical activity, sleep, and sitting guidelines were created. Data were analyzed using three components: a descriptive analysis, Pearson product-moment correlation analyses, and hierarchical regression analyses. Results: Overall, 14.8% of participants were categorized as having some degree of depression. Meeting the sleep guideline was a significant negative predictor of depression scores in the hierarchical regression analyses. The number of guidelines met was a negative predictor for depression score controlling for other variables. Discussion: Adequate sleep, as well as meeting all three guidelines synergistically, was meaningful in influencing depression among this population. The current study’s results should prompt the continued examination of health-behaviors among adults with visual impairment using a more holistic 24-hour activity cycle framework. Implications for practitioners: This study supports the utilization of multi-behavioral interventions to reduce the risk of depression by enhancing physical activity and sleep, while reducing sitting time, among this population.

scholarly journals Sleep Duration and Sleep Quality Are Associated with Physical Activity in Elderly People Living in Nursing Homes

2018 ◽  
Vol 15 (11) ◽  
pp. 2512 ◽  
Author(s):  
Lovro Štefan ◽  
Goran Vrgoč ◽  
Tomislav Rupčić ◽  
Goran Sporiš ◽  
Damir Sekulić
Keyword(s):  
Physical Activity ◽  
Nursing Homes ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Short Sleep ◽  
Long Sleep ◽  
Good Sleep

The main purpose of the study was to explore the associations of sleep duration and sleep quality with physical activity (PA). In this cross-sectional study, participants were 894 elderly individuals (mean age 80 ± 3 years; 56.0% women) living in nursing homes. PA, sleep duration, and sleep quality (based on the Pittsburgh Sleep Quality Index (PSQI)) were self-reported. The associations of sleep duration and sleep quality with PA at the nursing home level were analyzed using generalized estimating equations with clustering. Participants reporting short sleep duration (<6 h; OR = 0.45; 95% CI 0.25–0.80) were less likely to report sufficient PA, yet those reporting long sleep duration (>9 h; OR = 2.61; 95% CI 1.35–5.02) and good sleep quality (<5 points; OR = 1.59; 95% CI 1.19–2.12) were more likely to report sufficient PA. When sleep duration and sleep quality were entered into the same model, the same associations remained. This study shows that elderly individuals who report short sleep duration are less likely to meet PA guidelines, while those who report long sleep duration and good sleep quality are more likely to meet PA guidelines. Strategies aiming to improve sleep duration and sleep quality are warranted.

scholarly journals PO-236 Associations between sleep quality of college students and different measures of obesity: A cross-sectional study

2018 ◽  
Vol 1 (5) ◽  
Author(s):  
Guangyu Wang ◽  
Mei Zhen Zhang
Keyword(s):  
Physical Activity ◽  
Waist Circumference ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Body Fat ◽  
Positive Association ◽  
Female Students ◽  
Male Students ◽  
Body Fat Percentage ◽  
Fat Percentage

Objective The majority studies focused on obesity prevention on physical activity and eating behavior. However, epidemiological studies have shown that sleep duration and sleep quality could be an adjustable risk factor for obesity. The aim of this study was to examine the associations of sleep quality with different measurement of obesity in Chinese university students. Methods A total of 481 college students aged 18-25 years volunteered to participate in this study. Sleep quality was assessed by Pittsburgh Sleep Quality Index （PSQI）questionnaire. International Physical Activity Questionnaire （IPAQ）was used to determine the physical activity, Psychological status was assessed by Self-Rating Depression Scale （SDS） and Self-Rating Anxiety Scale (SAS). Body height, weight and waist circumference are measured by a trained researcher. Body composition was evaluated by a bio-impedance device (InBody 230, South Korea). Independent sample t test was applied to compare the sleep characteristics, physical activity, obesity, depression and anxiety in different gender students. The associations among the dependent variables BMI, body fat percentage, and the independent variables age, sleep quality and sleep durations was examined using Multiple linear regression models. SPSS 22.0 (IMB SPSS Inc) was used for all statistical. Results The BMI (22.9±3.4 vs 21.6±3.2, p＜0.001) of male students were significantly higher than that of female, but the percentage of body fat (18.7±6.9 vs 29.7±7.0, p＜0.001) was lower than that of female. We observed a positive association between sleep quality and body fat percentage (β = 0.166, P = 0.037), and a negative association with age (β = -0.166, P = 0.008) in female students. Sleep quality was associated positively with BMI (β = 0.360, P＜0.001), body fat percentage (β = 0.260, P＜0.001), and age (β = 0.215, P＜0.001) in male students; An inverse correlation between sleep duration and BMI (β = -0.141, P = 0.015), body fat percentage (β = -0.134, P = 0.022) was found, and a positive relationship with  anxiety scores (β = 0.331, P＜0.001) in male students. while an inverse relationship was found with WHR (β = -0.236, P = 0.001), waist circumference (β = -0.169, P = 0.007), and a positive association between sleep duration with anxiety scores (β = 0.331, P＜0.001) and depression scores (β = 0.415, P＜0.001) in female students. Conclusions The obesity of male and female students goes up with the increase of total score of sleep quality, anxiety and depression, and goes down with the increase of sleep duration, physical activity time and energy consumption. Male obesity increases with age, but female obesity decreases with age. Among the importance of males' sleep duration and sleep quality in the obesity risk assessment, BMI and body fat percentages are more accurate, while for females, BMI and waist circumference is of no statistical significance.  

scholarly journals Association of physical activity with sleep health: A systematic review

2019 ◽  
Vol 23 ◽  
pp. 1-26
Author(s):  
Andrea Wendt ◽  
Thaynã Ramos Flores ◽  
Inácio Crochemore Mohnsam Silva ◽  
Fernando César Wehrmeister
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Undergraduate Students ◽  
Data Extraction ◽  
Activity Measurement ◽  
Poor Sleep ◽  
Long Term Effects ◽  
Sleep Health ◽  
Cross Sectional

The aim of this study was to systematically examine the literature on physical activity and sleep in non-clinical and population-based settings. The inclusion criteria were original studies testing the association between physical activity (as exposure) and sleep (as outcome) in representative samples of the general population, workers, or undergraduate students. Sleep health included sleep duration, sleep quality and insomnia. Studies evaluating samples including only individuals with some disease or a health condition were excluded. A search was performed in the PubMed, Scopus, Lilacs, CINAHL, and SPORTdiscus databases in March 2018. Data extraction was performed using the following items: year, author, country, population, age group, sample size, study design, sleep measurement/definition, physical activity measurement/definition, adjustment and main results. A total of 57 studies were selected, which markedly used heterogeneous instruments to measure physical activity and sleep. The majority were conducted in high-income countries and with cross-sectional design. Physical activity was associated with lower odds of insomnia (observed in 10 of 17 studies), poor sleep quality (observed in 12 of 19 studies) and long sleep duration (observed in 7 of 11 studies). The results about short sleep or continuous sleep duration remain unclear. Physical activity seems to be associated with sleep quality and insomnia, especially among adult and elderly populations in which these outcomes are more usually measured. The short- and long-term effects of physical activity intensities and dose-response on sleep should be better evaluated.

Effect of exercise on sleep and bi-directional associations with accelerometer-assessed physical activity in men with obesity

2020 ◽  
Author(s):  
Tatiana Plekhanova ◽  
Alex V. Rowlands ◽  
Melanie Davies ◽  
Charlotte L. Edwardson ◽  
Andrew Hall ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Aerobic Exercise ◽  
Sleep Duration ◽  
Exercise Intervention ◽  
Vigorous Physical Activity ◽  
Sleep Onset ◽  
Onset Time ◽  
Post Intervention

This study examined the effect of exercise training on sleep duration and quality and bidirectional day-to-day relationships between physical activity (PA) and sleep. Fourteen inactive men with obesity (49.2±7.9 years, BMI 34.9±2.8 kg/m²) completed a baseline visit, eight-week aerobic exercise intervention, and one-month post-intervention follow-up. PA and sleep were assessed continuously throughout the study duration using wrist-worn accelerometry. Generalised estimating equations (GEE) were used to examine associations between PA and sleep. Sleep duration increased from 5.2h at baseline to 6.6h during the intervention period and 6.5h at one-month post-intervention follow-up (p<0.001). Bi-directional associations showed that higher overall activity volume and moderate-to-vigorous physical activity (MVPA) were associated with earlier sleep onset time (p<0.05). Later timing of sleep onset was associated with lower overall volume of activity, most active continuous 30 minutes (M30CONT), and MVPA (p<0.05). Higher overall activity volume, M30CONT, and MVPA predicted more wake after sleep onset (WASO) (p<0.001), whereas greater WASO was associated with higher overall volume of activity, M30CONT, and MVPA (p<0.001). An aerobic exercise intervention increased usual sleep duration. Day-to-day, more PA predicted earlier sleep onset, but worse sleep quality and vice versa. Novelty: • Greater levels of physical activity in the day were associated with an earlier sleep onset time that night, whereas a later timing of sleep onset was associated with lower physical activity the next day in men with obesity • Higher physical activity levels were associated with worse sleep quality, and vice versa

scholarly journals Objectively-Assessed Physical Activity, Sedentary Behavior, Smartphone Use, and Sleep Patterns Pre- and during-COVID-19 Quarantine in Young Adults from Spain

2020 ◽  
Vol 12 (15) ◽  
pp. 5890 ◽  
Author(s):  
Borja Sañudo ◽  
Curtis Fennell ◽  
Antonio J. Sánchez-Oliver
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Sitting Time ◽  
Sleep Patterns ◽  
Lifestyle Modifications ◽  
Smartphone Use ◽  
Objectively Measured

This study assessed the effects of COVID-19 home confinement on physical activity, sedentary behavior, smartphone use, and sleep patterns. Data was collected in a sample of 20 young adults (mean age ± SD: 22.6 ± 3.4 years; 55% males) over seven days pre- and during the COVID-19 lockdown. Objective and subjective physical activity (Accelerometer and the International Physical Activity Questionnaire (IPAQ), respectively), the number of hours sitting (IPAQ), objectively-measured smartphone use (smartphone screen time applications), and objective and subjective sleep (accelerometer and the Pittsburgh Sleep Quality Index, respectively) were assessed. Results revealed significantly greater walking time and mean steps (p < 0.001, d = 1.223 to 1.605), and moderate and vigorous physical activity (p < 0.05, d = 0.568 to 0.616), in the pre- compared with the during-COVID-19 lockdown phase. Additionally, smartphone use (p = 0.009, d = 0.654), sitting time (p = 0.002, d = 1.120), and total sleep (p < 0.004, d = 0.666) were significantly greater in the during- compared with the pre-COVID-19 lockdown phase. Multiple regressions analyses showed associations between physical activity and sedentary behavior and sleep quality. The number of hours sitting per day and moderate-to-vigorous physical activity significantly predicted deep sleep (adj.R2 = 0.46). In conclusion, this study revealed that during the COVID-19 outbreak, behaviors changed, with participants spending less time engaging in physical activity, sitting more, spending more time using the smartphone, and sleeping more hours. These findings may be of importance to make recommendations, including lifestyle modifications during this time.

scholarly journals Sedentary Behavior and Physical Activity are associated with Sleep Duration and Sleep Quality in Postmenopausal Women

2018 ◽  
Vol 50 (5S) ◽  
pp. 133
Author(s):  
Seth A. Creasy ◽  
Cynthia A. Thomson ◽  
David O. Garcia ◽  
Tracy E. Crane ◽  
Betsy C. Wertheim ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Postmenopausal Women ◽  
Sleep Duration

Abstract P347: Association Between Sleep Patterns and the American Heart Association Life’s Simple 7 Among Women

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Nour Makarem ◽  
Marie-Pierre St-Onge ◽  
Ming Liao ◽  
Brooke Aggarwal
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Regression Models ◽  
American Heart ◽  
Low Risk ◽  
Lifestyle Behaviors ◽  
Sleep Habits ◽  
Component Scores ◽  
Good Sleep

Introduction: The American Heart Association’s Life’s Simple 7 (AHA LS7) is a measure of cardiovascular health that evaluates seven lifestyle behaviors and clinical risk factors to track the population’s progress towards the AHA 2020 strategic goals. Sleep is an emerging lifestyle risk factor for cardiovascular disease that is not currently included in the AHA LS7. Our aim was to assess the relation of sleep with the AHA LS7 within a diverse sample of women. Hypothesis: We hypothesized that a longer sleep duration, good sleep quality, low risk for obstructive sleep apnea (OSA), and absence of insomnia and snoring would be associated with a higher global AHA LS7 score and its component scores, as measures of compliance to overall and individual AHA LS7 guidelines. Methods: Baseline data from the AHA Go Red for Women Strategically Focused Research Network cohort at Columbia University Medical Center, an ongoing prospective study, were examined (n=323, >50% minority/Hispanic, mean age: 39y, range: 20-76y). Sleep was self-reported using validated questionnaires. A standardized scoring system was used to compute the global AHA LS7 score using criteria for smoking, diet, physical activity, body mass index (BMI), blood pressure (BP), total cholesterol, and fasting glucose. Women received a score of 2 (optimal), 1 (average), or 0 (poor) based on their compliance with each AHA LS7 guideline. The seven component scores were summed to create the global AHA LS7 score. T-tests, Fischer’s exact test and multivariable-adjusted regression models were used to evaluate associations between sleep and the global AHA LS7 score and its components. Results: The median global AHA LS7 score was 10; 31.3%, 33.3% and 35.3% of women had a score of 0-8 (poor), 9-10 (average), and 11-14 (optimal), respectively. Participants with sleep duration ≥7 hours, lack of insomnia and snoring, and low risk for OSA were more likely to meet ≥4 of the AHA LS7 metrics (p≤0.04). Those with sleep duration ≥7 hours, good sleep quality, no insomnia and snoring, and at low risk of OSA were more likely to meet the AHA LS7 optimal guideline for physical activity, BMI, BP, glucose, and cholesterol (p≤0.04). In multivariable-adjusted linear regression models, a lower global AHA LS7 score was associated with a higher Pittsburgh Sleep Quality Index, indicative of poorer sleep quality (β=-0.08, p=0.019), higher insomnia severity index (β=-0.05, p=0.027), and higher risk for OSA (β=-0.84, p=0.016). Conclusions: In this cohort of women, better sleep habits were associated with meeting the AHA LS7 guidelines. Our results warrant confirmation in larger prospective studies and within other population groups, but nonetheless highlight the potential importance of screening for sleep habits in conjunction with other lifestyle behaviors to identify those at risk of cardiovascular disease.

Sign in / Sign up

Export Citation Format

Share Document