Physical activity, sitting time and sleep duration before and during pregnancy and pregnancy outcomes: A prospective panel study

2020 ◽  
Vol 29 (17-18) ◽  
pp. 3494-3505
Author(s):  
Shiue‐Shan Weng ◽  
Yu‐Hsiang Lee ◽  
Li‐Yin Chien
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Pregnancy Outcomes ◽  
Panel Study ◽  
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 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

scholarly journals Daily lifestyle behaviors and risks of sarcopenia among older adults

2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Pei-Lin Tzeng ◽  
Chien-Yu Lin ◽  
Ting-Fu Lai ◽  
Wan-Chi Huang ◽  
Evonne Pien ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sleep Duration ◽  
Food Selection ◽  
Binary Logistic Regression ◽  
Personal Characteristics ◽  
Sitting Time ◽  
Lifestyle Behaviors ◽  
Logistic Regression Models ◽  
Modifiable Factors

Abstract Background Lifestyle behaviors are modifiable factors that can provide information for designing intervention strategies for sarcopenia. The present study aimed to identify the relationships between a range of daily lifestyle behaviors and sarcopenia risks among older adults. Methods A nationwide telephone-based survey targeting older adults (≥65 years) was performed in Taiwan. Data based on self-reported daily lifestyle behaviors (food selection, physical activity, sitting time, and sleep duration), the presence or absence of sarcopenia (measured by SARC-F), and personal characteristics were obtained. Binary logistic regression models were applied. Results A total of 1068 older adults participated in this survey. In the adjusted model, older adults who selected unbalanced foods (odds ratio [OR] = 1.93, 95% confidence interval [CI] = 1.12–3.34), engaged in insufficient physical activity (OR = 5.14, 95% CI = 3.04–8.70), and sat for longer periods of time (OR = 1.98, 95% CI = 1.09–3.59) were more likely to have higher risks of sarcopenia. No significant association was observed for sleep duration. Conclusions The results of this study highlight that, among health behaviors, an unbalanced food selection (six nutrients), not meeting physical activity recommendations (150 min/week), and a higher sitting time (≥7 h/day) were risk factors for sarcopenia among older adults. Intervention programs for sarcopenia prevention in older adults should focus on promoting balanced food selection, sufficient physical activity, and reduced sitting time.

scholarly journals Influence of physical activity and sleep duration on the retinal and choroidal structure in diabetic patients: An SS-OCT study

2020 ◽  
Author(s):  
Sen Liu ◽  
Wei Wang ◽  
Zihan Qiu ◽  
Miao He ◽  
Wenyong Huang
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Choroidal Thickness ◽  
Retinal Nerve Fibre Layer ◽  
Sitting Time ◽  
Diabetic Patients ◽  
Inner Plexiform Layer ◽  
Confounding Factors ◽  
Metabolic Equivalents ◽  
Sleep Benefit

ABSTRACTPurposeTo assess the association between physical activity, sleep duration, sitting time, and alterations of posterior segment structures with swept-source optical coherence tomography (SS-OCT).MethodsPatients with diabetic retinopathy (DR) were recruited, and diabetic patients without retinopathy (non-DR) who matched for age and duration of diabetes were used as control. The physical activity, siting time, and sleep duration were obtained by using standardized questionnaire. OCT parameters included: retinal nerve fibre layer (RNFL) thickness, ganglion cell inner plexiform layer (GC-IPL) thickness, retinal thickness, and choroidal thickness (CT). Linear regression was conducted to analyse the association.ResultsEach group included 116 diabetic patients. Average macular CT was positively correlated with metabolic equivalents (MET) only in the DR group, independent of age, gender, and other potential confounding factors (β = 1.163, P = 0.006). Average macular CT was also positively correlated with sleep duration only in the non-DR group, independent of age, gender, and other potential confounding factors (β = 10.54, P = 0.031). No correlation was found between MET, sleep duration, and other OCT parameters. Sitting time was not significantly correlated with OCT parameters either.ConclusionsPhysical activity and sleep duration are both positively correlated with macular choroidal thickness; this suggests that more time in physical activity and sleep benefit the retina, while there was no association between sedentary time and OCT parameters. Further studies are warranted to clarify the underlying mechanisms and the role of physical activity and sleep in CT alterations and DR.

scholarly journals Association of Physical Activity and Sitting Time with Overweight/Obesity in Chinese Occupational Populations

Obesity Facts ◽  
2021 ◽  
pp. 1-7
Author(s):  
Fan Yuan ◽  
Weiyan Gong ◽  
Caicui Ding ◽  
Hui Li ◽  
Ganyu Feng ◽  
...  
Keyword(s):  
Physical Activity ◽  
Lower Risk ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Active Transportation ◽  
Sitting Time ◽  
Work Time ◽  
Transportation Mode ◽  
Activity Intensity ◽  
Female Employees

<b><i>Abstract:</i></b> The aim of this study was to explore association of physical activity and sitting time with overweight/obesity in Chinese occupational populations for the development of intervention and prevention strategies for obesity. <b><i>Methods:</i></b> A total of 23,112 participants were selected from the 2010–2012 China National Nutrition and Health Survey (CNNHS). A logistics regression model was used to examine the associations of physical activity and sitting time with overweight/obesity by gender after adjusting for age, educational level, marital status, and family economic level. <b><i>Results:</i></b> The prevalence of overweight/obesity based on the WHO definition and the WGOC definition was 30.8% and 41.3%, respectively. Male employees with moderate and heavy occupation activity intensity had a lower risk for overweight/obesity than those with light occupation activity intensity (moderate: OR 0.90, 95% CI 0.82–0.98; heavy: OR 0.75, 95% CI 0.65–0.86), and the risk of overweight/obesity of male employees with long work-time spent sitting was higher than those with short work-time spent sitting (2–4.9 h/day: OR 1.26, 95% CI 1.14–1.40; ≥5 h/day: OR 1.29, 95% CI 1.15–1.44). The risk of overweight/obesity of male employees with active transportation mode was lower than those with inactive transportation mode (OR 0.91, 95% CI 0.84–0.99), while the risk of overweight/obesity of female employees with active transportation mode was higher (OR 1.14, 95% CI 1.04–1.25). Female employees with leisure-time physical activity (LTPA) for ≥150 min/week had lower risk of overweight/obesity than those with LTPA for &#x3c;150 min/week (OR 0.69, 95% CI 0.56–0.84). There was no significant association of leisure-time sitting and housework time with overweight/obesity in Chinese occupational populations. <b><i>Conclusion:</i></b> Occupation activity intensity, LTPA, transportation mode, and work sitting time were associated with overweight/obesity. Reducing work sitting time, moderate and heavy occupation activity intensity, and an active transportation mode could help male employees decrease the risk of overweight/obesity. Increasing leisure-time physical activity could reduce the risk of overweight/obesity in women. Our findings provided insight into the association of physical activity and sitting time with overweight/obesity. It will be necessary to carry out workplace-based interventions, have an active transportation mode, and increase leisure-time physical activity to decrease the risks of overweight/obesity.

scholarly journals Later sleep timing predicts accelerated summer weight gain among elementary school children: a prospective observational study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jennette P. Moreno ◽  
Javad Razjouyan ◽  
Houston Lester ◽  
Hafza Dadabhoy ◽  
Mona Amirmazaheri ◽  
...  
Keyword(s):  
Physical Activity ◽  
Observational Study ◽  
Sleep Duration ◽  
Obesity Prevention ◽  
Prospective Observational Study ◽  
Light Exposure ◽  
Activity Level ◽  
Activity Levels ◽  
School Year ◽  
Children’S Sleep

Abstract Objectives and background Social demands of the school-year and summer environment may affect children’s sleep patterns and circadian rhythms during these periods. The current study examined differences in children’s sleep and circadian-related behaviors during the school-year and summer and explored the association between sleep and circadian parameters and change in body mass index (BMI) during these time periods. Methods This was a prospective observational study with 119 children ages 5 to 8 years with three sequential BMI assessments: early school-year (fall), late school-year (spring), and beginning of the following school-year in Houston, Texas, USA. Sleep midpoint, sleep duration, variability of sleep midpoint, physical activity, and light exposure were estimated using wrist-worn accelerometry during the school-year (fall) and summer. To examine the effect of sleep parameters, physical activity level, and light exposure on change in BMI, growth curve modeling was conducted controlling for age, race, sex, and chronotype. Results Children’s sleep midpoint shifted later by an average of 1.5 h during summer compared to the school-year. After controlling for covariates, later sleep midpoints predicted larger increases in BMI during summer, (γ = .0004, p = .03), but not during the school-year. Sleep duration, sleep midpoint variability, physical activity levels, and sedentary behavior were not associated with change in BMI during the school-year or summer. Females tended to increase their BMI at a faster rate during summer compared to males, γ = .06, p = .049. Greater amounts of outdoor light exposure (γ = −.01, p = .02) predicted smaller increases in school-year BMI. Conclusions Obesity prevention interventions may need to target different behaviors depending on whether children are in or out of school. Promotion of outdoor time during the school-year and earlier sleep times during the summer may be effective obesity prevention strategies during these respective times.

scholarly journals The impact of sitting time and physical activity on mental health during COVID-19 lockdown

2021 ◽  
Author(s):  
Matthew Pears ◽  
Susanna Kola-Palmer ◽  
Liane Beretta De Azevedo
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Health Outcomes ◽  
Online Survey ◽  
Depression Score ◽  
Sitting Time ◽  
Multiple Stepwise Regression Analysis ◽  
Previous Diagnosis ◽  
The Uk ◽  
The Impact

Abstract Objective The primary aim of this study was to investigate the association between physical activity (PA) and sitting time on adults’ mental health (i.e., depression, anxiety and wellbeing) and the influence of mediators and confounders. Methods An online survey was disseminated in the UK between May and June 2020. A total of 284 participants (33.5 ± 12.4 years) self-reported their PA, sitting time and mental health through validated questionnaires. Results Multiple stepwise regression analysis revealed that being of younger age, female, on a lower income, with one or more comorbid health conditions, with a previous diagnosis of mood disorder and increased sitting time independently correlated with higher depression scores (F (13,219) = 12.31, p < 0.001), and explained 42% of the variance. Similar results were found for wellbeing where socio-demographic, health outcomes and sitting time influenced the subjective wellbeing (F (14,218) = 5.77, p < 0.001, 27% variance), although only socio-demographic and health outcomes contributed to the variation in anxiety score (F (13,219) = 7.84, p < 0.001, 32% variance). PA did not explain variation when sitting time was taken into account in any of the models. Combined analysis revealed that participants with lower sedentary time (< 8 h) and with both low or moderate and high PA presented a significantly lower depression score [low PA: (B = −2.7, 95% CI −4.88, −0.52); moderate and high PA (B = −2.7, −4.88, −0.52)]. Conclusion Sitting time was strongly associated with adverse mental health during COVID-19 lockdown and should be considered in future public health recommendations.

SMART STEP – SMARTphone-driven exercise and pedometer-based STEP intervention to promote physical activity among desk-based employees: Study protocol for a three-arm cluster randomized controlled trial

Work ◽  
2021 ◽  
pp. 1-17
Author(s):  
Baskaran Chandrasekaran ◽  
Chythra R Rao ◽  
Fiddy Davis ◽  
Ashokan Arumugam
Keyword(s):  
Physical Activity ◽  
Cognitive Performance ◽  
Sports Medicine ◽  
Cardiometabolic Risk ◽  
Controlled Trial ◽  
Fasting Blood Glucose ◽  
Subcutaneous Fat ◽  
Work Productivity ◽  
Sitting Time ◽  
Sickness Absenteeism

BACKGROUND: Prolonged sitting in desk-based office workers is found to be associated with increased cardiometabolic risk and poor cognitive performance. Technology-based physical activity (PA) interventions using smartphone applications (SmPh app) to promote PA levels might be effective in reducing cardiometabolic risk among sedentary population but the evidence remains inconclusive. OBJECTIVE: The objective is to investigate the effects of a technology-based PA intervention compared to PA education with a worksite manual or no intervention on PA levels, cardiometabolic risk, cognitive performance, and work productivity among desk-based employees. METHOD: A three-arm clustered randomized trial will be conducted. The study will be conducted among various administrative offices of a multifaceted university in India. Desk-based employees aged between 30 and 50 years (n = 159; 53 in each arm) will be recruited. Employees from various constituent institutions (clusters) of the university will be randomized into one of the three following groups - SMART: SmPh app-driven break reminders (visual exercise prompts) plus pedometer-based step intervention, TRADE: worksite PA education with a manual plus American College of Sports Medicine guided PA prescription, or CONTROL: usual work group. At baseline and after the 1st, 3rd and 6th month of the trial period, accelerometer-measured sitting time and PA levels, cardiometabolic risk (fasting blood glucose, triglycerides, insulin, blood pressure, heart rate variability, functional capacity, and subcutaneous fat), cognitive performance (executive function), sickness absenteeism and work limitations will be assessed by a blinded assessor. Therapist delivering interventions will not be blinded. CONCLUSION: This trial will determine whether a combined SmPh-app and pedometer-based intervention is more effective than education or no intervention in altering PA levels, cardiometabolic risk and cognitive performance among desk-based employees in India. This study has the potential to foster institutional recommendations for using SmPh-based technology and pedometers to promote PA at work.

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