scholarly journals Relationship Between Sedentary Behavior and Physical Activity at Work and Cognition and Mood

2020 ◽  
Vol 17 (11) ◽  
pp. 1140-1152
Author(s):  
Sophie E. Carter ◽  
Richard Draijer ◽  
Andrew Thompson ◽  
Dick H.J. Thijssen ◽  
Nicola D. Hopkins
Keyword(s):  
Physical Activity ◽  
Working Memory ◽  
Sedentary Behavior ◽  
Leisure Time ◽  
Work Hours ◽  
Evidence Based ◽  
Cognitive Tests ◽  
Full Time ◽  
Regression Analyses ◽  
Increase Productivity

Background: Sedentary behavior is negatively associated with cognition and mood. Adults often engage in high levels of sedentary behavior at work through sitting, which may impact productivity. Consequently, replacing sitting with standing and physical activity (PA) is recommended. However, the associations between sitting, standing, and PA at work and cognition and mood are unknown; this study, therefore, aimed to explore these relationships. Methods: A total of 75 healthy full-time workers (33 male, mean [SD]; 33.6 [10.4] y, 38 [7] work hr/wk) wore sedentary behavior (activPAL) and PA (SenseWear Pro) monitors for 7 days and recorded their work hours. The day after this monitoring period, participants completed cognitive tests (executive function, attention, and working memory) and mood questionnaires (affect, alert, content, and calm). Multiple linear regression analyses examined the associations between cognition and mood and the time spent sitting, standing, and in each PA intensity during work hours, weekday leisure time, and weekends. Results: Workplace sitting, standing, or PA were not significantly associated with cognition or mood (P > .05). No significant associations were observed between these variables during weekday leisure time or weekends (P > .05). Conclusions: In a cohort of healthy workers, workplace sitting, standing, and PA are not associated with cognition or mood. Further research in this population is needed, examining the influence of workplace behaviors on cognition and mood, because this will contribute to evidence-based workplace guidelines to increase productivity.

scholarly journals Physical Activity, Sedentary Behavior, and Cardiorespiratory Fitness in Hazardous and Non-Hazardous Alcohol Consumers

2021 ◽  
pp. 089011712098583
Author(s):  
Mats Hallgren ◽  
Davy Vancampfort ◽  
Thi-Thuy-Dung Nguyen ◽  
Elin Ekblom-Bak ◽  
Peter Wallin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Cardiorespiratory Fitness ◽  
Leisure Time ◽  
Health Assessment ◽  
Cross Sectional Study ◽  
Cycle Ergometer ◽  
Cross Sectional ◽  
Physically Active ◽  
Alcohol Abstainers

Purpose: To describe physical activity habits, sedentary behavior, and cardiorespiratory fitness levels among alcohol abstainers, hazardous and non-hazardous drinkers. Design: Cross-sectional study with data collected between 2017-19. Setting: Sweden. Subjects: Adults aged 18-65 years (n = 47,559; 59.4% male). Measures: During a routine health assessment, participants answered validated single-item questions regarding: habitual physical activity, structured exercise, and the percentage of time spent sedentary during leisure-time (past 30 days), and completed a 6-minute cycle ergometer test (V02max) to determine cardiorespiratory fitness (CRF). Participants were categorized as alcohol abstainers, non-hazardous drinkers or hazardous drinkers (low/high) based on the Alcohol Use Disorders Identification Test (AUDIT-C) cut-points for men and women. Analysis: Logistic regression models stratified by sex and age. Results: Compared to non-hazardous drinkers, the heaviest drinkers were less physically active (males: OR = 1.38, CI = 1.13-1.67, p = .001; females: OR = 1.41, CI = 1.01-1.97, p = .040) and more sedentary during leisure time (males: OR = 1.94, CI = 1.62-2.32, p = .000; females: OR = 1.62, CI = 1.21-2.16, p = .001). Apart from young females, the heaviest drinkers also did less structured exercise than non-hazardous drinkers (males: OR = 1.22, CI = 1.15-1.51, p = .000; females: OR = 1.43, CI = 1.15-1.78, p = .001). The strongest associations were seen among adults aged 40-65 years (shown here). High-hazardous drinking was associated with low CRF among older males only (OR = 1.19, CI = 1.00-1.41). Conclusion: Middle-aged adults with AUDIT-C scores of ≥6 (women) and ≥7 (men) were less physically active and more sedentary during leisure time and may be appropriate targets for physical activity interventions.

Changes in work factors and concurrent changes in leisure time physical activity: a 12-year longitudinal analysis

2020 ◽  
Vol 77 (5) ◽  
pp. 309-315
Author(s):  
Aviroop Biswas ◽  
Kathleen G Dobson ◽  
Monique A M Gignac ◽  
Claire de Oliveira ◽  
Peter M Smith
Keyword(s):  
Physical Activity ◽  
Fixed Effects ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Logistic Models ◽  
Physical Exertion ◽  
Work Hours ◽  
Work Factors ◽  
Skill Discretion ◽  
Psychological Demands

ObjectivesThere is a paucity of longitudinal population-based studies examining whether changes in work factors are associated with concurrent changes in leisure time physical activity (LTPA). This study examines this issue using 12 years of longitudinal survey data.MethodsData were drawn from the Canadian National Population Health Survey. The initial analytical sample in 1994 of 6407 working individuals was followed every 2 years from 2000 to 2010. Seven work factors were measured as independent variables: skill discretion, decision authority, psychological demands, physical exertion, number of jobs, hours at work and shift schedule. LTPA was categorised as inactive, moderately active or active based on metabolic equivalent task values. Fixed-effects multinomial logistic models were used to examine associations between work factors and LTPA controlling for time-invariant effects and adjusted for covariates.ResultsWorkers with lower skill discretion (OR=0.96; 95% CI 0.92 to 0.99), higher psychological demands (OR=0.95; 95% CI 0.92 to 0.99), higher physical exertion (OR=0.93; 95% CI 0.88 to 0.99) and longer work hours (OR=0.97; 95% CI 0.95 to 098) were associated with a lower odds of transitioning from inactive to active and moderately active. There was no evidence of effect modification by age or sex.ConclusionResults suggest that as participants’ skill discretion decreased, and their physical and psychological demands, and work hours increased, their likelihood of becoming more active and moderately active also decreased, supporting the value of targeting improvements in these work factors for physical activity interventions.

Should leisure‐time sedentary behavior be replaced with sleep or physical activity for prevention of diabetes?

2021 ◽  
Author(s):  
Mette Aadahl ◽  
Anne H. Andreasen ◽  
Christina B. Petersen ◽  
Nidhi Gupta ◽  
Andreas Holtermann ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Leisure Time ◽  
Prevention Of Diabetes

Time Trends and Sociodemographic Inequalities in Physical Activity and Sedentary Behaviors Among Brazilian Adults: National Surveys from 2003 to 2019

2021 ◽  
pp. 1-10
Author(s):  
André O. Werneck ◽  
Luciana L. Barboza ◽  
Raphael H.O. Araújo ◽  
Adewale L. Oyeyemi ◽  
Giseli N. Damacena ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Health Survey ◽  
Time Trends ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Sample Survey ◽  
World Health ◽  
Tv Viewing ◽  
Total Transport

Background: The authors analyzed time trends and sociodemographic inequalities in different physical activity and sedentary behavior domains between 2003 and 2019. Methods: A secondary analysis of data from 5 cross-sectional Brazilian epidemiological surveys (World Health Survey—2003, National Household Sample Survey—2008/2015, and Brazilian Health Survey—2013/2019) conducted among a nationally representative sample of Brazilian adults. The authors used data on different domains of physical activity (leisure, commute, total transport, and total physical activity) and sedentary behavior (TV viewing and other types of screens) that were available in the different surveys. Gender, age group, country region, ethnicity, type of area and city, and quintiles of income and educational achievement were used as sociodemographic correlates. Results: The prevalence of leisure-time physical activity increased over time (2008: 7.0% vs 2019: 26.5%). There was also an increased trend of social inequality in leisure-time physical activity. A trend of reduction was observed for active commuting (2008: 35.0% vs 2019: 21.8%), while total transport physical activity was stable (2013: 49.5% vs 2019: 49.6%). Directions of findings were opposite for sedentary behavior, with reduced trend for >3 hours per day of TV viewing (2008: 34.8% vs 2019: 21.8%) and increased trend for >3 hours per day of other types of screen time (2008: 6.4% vs 2019: 22.2%). Conclusion: A positive trend exists in leisure-time physical activity, but there was also an increase in social inequalities for physical activity in Brazil.

scholarly journals Association between leisure-time physical activity and sedentary behavior with cardiometabolic health in the ELSA-Brasil participants

2019 ◽  
Vol 7 ◽  
pp. 205031211982708 ◽  
Author(s):  
Francisco José Gondim Pitanga ◽  
Sheila Maria Alvim Matos ◽  
Maria da Conceição C. Almeida ◽  
Ana Luísa Patrão ◽  
Maria del Carmen Bisi Molina ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Sitting Time ◽  
Cardiometabolic Health ◽  
Adult Health ◽  
Cross Sectional ◽  
Low Levels

Objectives: To assess associations, both individually and in combination, between leisure-time physical activity and sedentary behavior, and cardiometabolic health. Methods: This cross-sectional study included 13,931 civil servants participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Leisure-time physical activity was analyzed using the leisure-time domain of the long-form International Physical Activity Questionnaire, while questions related to cumulative sitting time and leisure-based screen time on a weekday and on one day on the weekend were used to establish sedentary behavior. Data analysis was performed using multivariate logistic regression. Results: Following adjustment for confounding variables, high levels of leisure-time physical activity and low levels of sedentary behavior were both associated with favorable cardiometabolic health markers in both genders. When these two factors were analyzed in conjunction, taking the combination of low levels of leisure-time physical activity and high levels of sedentary behavior as the reference, the inverse associations with cardiometabolic variables became even more significant. Conclusion: High levels of leisure-time physical activity and low levels of sedentary behavior were both inversely associated with the cardiometabolic variables analyzed; however, the two variables when evaluated in conjunction appear to produce more consistent associations, particularly when sedentary behavior is evaluated according to leisure-based screen time.

scholarly journals Preliminary Evidence-Based Recommendations for Return to Learn: a novel pilot study tracking concussion recovery in college students

Neurology ◽  
2019 ◽  
Vol 93 (14 Supplement 1) ◽  
pp. S33.3-S34
Author(s):  
Zachary Bevilacqua ◽  
Mary Kerby ◽  
David Fletcher ◽  
Zhongxue Chen ◽  
Becca Merritt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Longitudinal Design ◽  
Text Messages ◽  
Return To Play ◽  
Evidence Based ◽  
Full Time ◽  
Symptom Resolution ◽  
Phone Calls ◽  
Return To Learn ◽  
Concussion Recovery

ObjectiveInvestigate the potential factors influencing resolution of chief concussion symptoms in a longitudinal design. Second, assess subjects’ perception of their concussion recovery and what types of activities and accommodations appeared beneficial.BackgroundAthletes re-entering the academic setting after a concussion is commonly referred as return-to-learn (RTL), which has appeared secondary to the abundantly researched return-to-play protocols implemented ubiquitously. Importantly, every concussed collegiate, adolescent, and pediatric athlete is first and foremost a student-athlete, with “student” holding the emphasis. To date, very few studies have examined the RTL aspect of concussion recovery, and the effects premature classroom attendance may cause.Design/MethodsNine concussed, college aged (18-26 years), full-time students were monitored longitudinally throughout their recovery from diagnosis to full symptom-free academic participation. Symptom severity for five prevalent symptoms were recorded 4 times per day, along with a daily phone call to report participant’s diet, duration of screen-time usage and music listened to, physical activity participation, and types of classes attended.ResultsResponse rates to text messages and phone calls yielded a mean 92% and 93% respectively across the nine subjects. Additionally, five variables were significantly associated with symptom resolution (music, sleep, physical activity, water, and time) (p = 0.0004 to p = 0.036). Lastly, subjects reported math and computer-oriented courses as the most difficult (33% and 44% respectively). Additional time on assignments/exams and reducing screen brightness were the most beneficial accommodations (66% and 56% respectively).ConclusionsOur findings introduce a novel and robust approach to monitoring concussed students throughout their recovery. Furthermore, this methodology is the first to produce holistic evidence-based results concerning re-integrating students to the classroom. Lastly, it appears that dietary and social behaviors can indeed influence symptom resolution.

How Do Different Occupational Factors Influence Total, Occupational, and Leisure-Time Physical Activity?

2015 ◽  
Vol 12 (2) ◽  
pp. 200-207 ◽  
Author(s):  
Corneel Vandelanotte ◽  
Camille Short ◽  
Matthew Rockloff ◽  
Lee Di Millia ◽  
Kevin Ronan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Total Physical Activity ◽  
Activity Levels ◽  
Full Time ◽  
Cross Sectional ◽  
Time Activity ◽  
Physical Activity Levels ◽  
The Impact

Background:A better understanding of how occupational indicators influence physical activity levels will aid the design of workplace interventions.Methods:Cross-sectional data were collected from 1194 participants through a telephone interview in Queensland, Australia. The IPAQ-long was used to measure physical activity. Multiple logistic regression was applied to examine associations.Results:Of participants, 77.9% were employed full-time, 32.3% had professional jobs, 35.7% were engaged in shift work, 39.5% had physically-demanding jobs, and 66.1% had high physical activity levels. Participants with a physicallydemanding job were less likely to have low total (OR = 0.25, 95% CI = 0.17 to 0.38) and occupational (OR = 0.17, 95% CI = 0.12 to 0.25) physical activity. Technical and trade workers were less likely to report low total physical activity (OR = 0.44, 95% CI = 0.20 to 0.97) compared with white-collar workers. Part-time (OR = 1.74, 95% CI = 1.15 to 2.64) and shift workers (OR = 1.86, 95% CI = 1.21 to 2.88) were more likely to report low leisure-time activity.Conclusions:Overall, the impact of different occupational indicators on physical activity was not strong. As expected, the greatest proportion of total physical activity was derived from occupational physical activity. No evidence was found for compensation effects whereby physically-demanding occupations lead to less leisure-time physical activity or vice versa. This study demonstrates that workplaces are important settings to intervene, and that there is scope to increase leisure-time physical activity irrespective of occupational background.

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