scholarly journals Annual, seasonal, cultural and vacation patterns in sleep, sedentary behaviour and physical activity: a systematic review and meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ty Ferguson ◽  
Rachel Curtis ◽  
Francois Fraysse ◽  
Rajini Lagiseti ◽  
Celine Northcott ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Daily Activity ◽  
Activity Patterns ◽  
Temporal Patterns ◽  
Daily Activities ◽  
Light Physical Activity ◽  
Temporal Factors ◽  
Meta Analyses ◽  
The Impact

Abstract Background Time spent in daily activities (sleep, sedentary behaviour and physical activity) has important consequences for health and wellbeing. The amount of time spent varies from day to day, yet little is known about the temporal nature of daily activity patterns in adults. The aim of this review is to identify the annual rhythms of daily activity behaviours in healthy adults and explore what temporal factors appear to influence these rhythms. Methods Six online databases were searched for cohort studies exploring within-year temporal patterns (e.g. season effects, vacation, cultural festivals) in sleep, sedentary behaviour or physical activity in healthy 18 to 65-year-old adults. Screening, data extraction, and risk of bias scoring were performed in duplicate. Extracted data was presented as mean daily minutes of each activity type, with transformations performed as needed. Where possible, meta-analyses were performed using random effect models to calculate standardised mean differences (SMD). Results Of the 7009 articles identified, 17 studies were included. Studies were published between 2003 and 2019, representing 14 countries and 1951 participants, addressing variation in daily activities across season (n = 11), Ramadan (n = 4), vacation (n = 1) and daylight savings time transitions (n = 1). Meta-analyses suggested evidence of seasonal variation in activity patterns, with sleep highest in autumn (+ 12 min); sedentary behaviour highest in winter (+ 19 min); light physical activity highest in summer (+ 19 min); and moderate-to-vigorous physical activity highest in summer (+ 2 min) when compared to the yearly mean. These trends were significant for light physical activity in winter (SMD = − 0.03, 95% CI − 0.58 to − 0.01, P = 0.04). Sleep appeared 64 min less during, compared to outside Ramadan (non-significant). Narrative analyses for the impact of vacation and daylight savings suggested that light physical activity is higher during vacation and that sleep increases after the spring daylight savings transition, and decreases after the autumn transition. Conclusions Research into temporal patterns in activity behaviours is scarce. Existing evidence suggests that seasonal changes and periodic changes to usual routine, such as observing religious events, may influence activity behaviours across the year. Further research measuring 24-h time use and exploring a wider variety of temporal factors is needed.

scholarly journals Annual rhythms in adults’ lifestyle and health (ARIA): protocol for a 12-month longitudinal study examining temporal patterns in weight, activity, diet, and wellbeing in Australian adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rachel G. Curtis ◽  
Timothy Olds ◽  
François Fraysse ◽  
Dorothea Dumuid ◽  
Gilly A. Hendrie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Repeated Measures ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Intervention Strategy ◽  
Temporal Patterns ◽  
Trial Registration ◽  
Multi Level

Abstract Background Almost one in three Australian adults are now obese, and the rate continues to rise. The causes of obesity are multifaceted and include environmental, cultural and lifestyle factors. Emerging evidence suggests there may be temporal patterns in weight gain related, for example, to season and major festivals such as Christmas, potentially due to changes in diet, daily activity patterns or both. The aim of this study is to track the annual rhythm in body weight, 24 h activity patterns, dietary patterns, and wellbeing in a cohort of Australian adults. In addition, through data linkage with a concurrent children’s cohort study, we aim to examine whether changes in children’s body mass index, activity and diet are related to those of their parents. Methods A community-based sample of 375 parents aged 18 to 65 years old, residing in or near Adelaide, Australia, and who have access to a Bluetooth-enabled mobile device or a computer and home internet, will be recruited. Across a full year, daily activities (minutes of moderate to vigorous physical activity, light physical activity, sedentary behaviour and sleep) will be measured using wrist-worn accelerometry (Fitbit Charge 3). Body weight will be measured daily using Fitbit wifi scales. Self-reported dietary intake (Dietary Questionnaire for Epidemiological Studies V3.2), and psychological wellbeing (WHOQOL-BREF and DASS-21) will be assessed eight times throughout the 12-month period. Annual patterns in weight will be examined using Lowess curves. Associations between changes in weight and changes in activity and diet compositions will be examined using repeated measures multi-level models. The associations between parent’s and children’s weight, activity and diet will be investigated using multi-level models. Discussion Temporal factors, such as day type (weekday or weekend day), cultural celebrations and season, may play a key role in weight gain. The aim is to identify critical opportunities for intervention to assist the prevention of weight gain. Family-based interventions may be an important intervention strategy. Trial registration Australia New Zealand Clinical Trials Registry, identifier ACTRN12619001430123. Prospectively registered on 16 October 2019.

scholarly journals Objective measurements of daily physical activity patterns and sedentary behaviour in older adults: Age, Gene/Environment Susceptibility-Reykjavik Study

2012 ◽  
Vol 42 (2) ◽  
pp. 222-229 ◽  
Author(s):  
Nanna Yr Arnardottir ◽  
Annemarie Koster ◽  
Dane R. Van Domelen ◽  
Robert J. Brychta ◽  
Paolo Caserotti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behaviour ◽  
Activity Patterns ◽  
Daily Physical Activity ◽  
Physical Activity Patterns ◽  
Objective Measurements ◽  
Gene Environment

scholarly journals Sedentary behaviour and physical activity patterns in adults with traumatic limb fracture

2019 ◽  
Vol 6 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Christina L. Ekegren ◽  
◽  
Rachel E. Climie ◽  
William G. Veitch ◽  
Neville Owen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Activity Patterns ◽  
Physical Activity Patterns ◽  
Limb Fracture

1. The Effects of an Aerobic Exercise Intervention on Daily Activity Patterns

2016 ◽  
Author(s):  
James Bouma
Keyword(s):  
Physical Activity ◽  
Aerobic Exercise ◽  
Daily Activity ◽  
Exercise Intervention ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Low Intensity ◽  
Low Volume ◽  
Low Intensity Exercise ◽  
Daily Activity Patterns

The purpose of this study was to examine the effects of participation in an aerobic exercise intervention on daily activity occurring outside of the structured exercise sessions. Participants were randomized into one of the following 4 conditions: 1) No-exercise, 2) Low volume, low intensity exercise (LVLI), 3) High volume, low intensity exercise (HVLI), 4) Low volume, high intensity (LVHI). Physical activity was measured over 7 days with an accelerometer at baseline and during week 8 of the intervention. Activity was defined as: sedentary behaviour (SED; < 100 counts/minute), light physical activity (LPA; 100 to 1951 counts/minute), moderate-to-vigorous physical activity (MVPA; ≥1952 counts/minute), and total physical activity (TPA; LPA + MVPA). Activity was quantified as average total minutes per day of each SED, LPA, MVPA, and TPA. A one-way ANOVA was used to determine if time spent in SED, LPA, MVPA, and TPA changed from baseline to week 8. Seventy-one participants (No-exercise; n=12, LVLI n=17, HVLI n=24, LVHI; n=18,) with a mean age of 54 y and waist circumference of 110 cm completed 8 weeks of the intervention. There were no significant differences in SED, LPA, MVPA, or TPA between groups at baseline. There was no significant change in SED, LPA, MVPA, or TPA at week 8 compared to baseline (p>0.05). Similarly, there were no significant differences in activity variables between exercise conditions. Our observations suggest that daily activity patterns do not change with the implementation of an exercise intervention in men and women.

scholarly journals Cross-sectional and prospective relationships of passive and mentally active sedentary behaviours and physical activity with depression

2019 ◽  
Vol 217 (2) ◽  
pp. 413-419 ◽  
Author(s):  
Mats Hallgren ◽  
Thi-Thuy-Dung Nguyen ◽  
Neville Owen ◽  
Brendon Stubbs ◽  
Davy Vancampfort ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Odds Ratio ◽  
Vigorous Physical Activity ◽  
Depression Symptoms ◽  
Vigorous Activity ◽  
Light Physical Activity ◽  
Cross Sectional ◽  
Sedentary Behaviours ◽  
Potential Impact

BackgroundSedentary behaviour can be associated with poor mental health, but it remains unclear whether all types of sedentary behaviour have equivalent detrimental effects.AimsTo model the potential impact on depression of replacing passive with mentally active sedentary behaviours and with light and moderate-to-vigorous physical activity. An additional aim was to explore these relationships by self-report data and clinician diagnoses of depression.MethodIn 1997, 43 863 Swedish adults were initially surveyed and their responses linked to patient registers until 2010. The isotemporal substitution method was used to model the potential impact on depression of replacing 30 min of passive sedentary behaviour with equivalent durations of mentally active sedentary behaviour, light physical activity or moderate-to-vigorous physical activity. Outcomes were self-reported depression symptoms (cross-sectional analyses) and clinician-diagnosed incident major depressive disorder (MDD) (prospective analyses).ResultsOf 24 060 participants with complete data (mean age 49.2 years, s.d. 15.8, 66% female), 1526 (6.3%) reported depression symptoms at baseline. There were 416 (1.7%) incident cases of MDD during the 13-year follow-up. Modelled cross-sectionally, replacing 30 min/day of passive sedentary behaviour with 30 min/day of mentally active sedentary behaviour, light physical activity and moderate-to-vigorous activity reduced the odds of depression symptoms by 5% (odds ratio 0.95, 95% CI 0.94–0.97), 13% (odds ratio 0.87, 95% CI 0.76–1.00) and 19% (odds ratio 0.81, 95% CI 0.93–0.90), respectively. Modelled prospectively, substituting 30 min/day of passive with 30 min/day of mentally active sedentary behaviour reduced MDD risk by 5% (hazard ratio 0.95, 95% CI 0.91–0.99); no other prospective associations were statistically significant.ConclusionsSubstituting passive with mentally active sedentary behaviours, light activity or moderate-to-vigorous activity may reduce depression risk in adults.

scholarly journals The effectiveness of sedentary behaviour interventions on sitting time and screen time in children and adults: an umbrella review of systematic reviews

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Phuong Nguyen ◽  
Long Khanh-Dao Le ◽  
Dieu Nguyen ◽  
Lan Gao ◽  
David W. Dunstan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Sedentary Behaviour ◽  
Systematic Reviews ◽  
Screen Time ◽  
Sitting Time ◽  
Age Group ◽  
Umbrella Review ◽  
Occupational Sitting ◽  
Meta Analyses

Abstract Background There is increasing concern about the time people spend in sedentary behaviour, including screen time, leisure and occupational sitting. The number of both primary research studies (published trials) and reviews has been growing rapidly in this research area. A summary of the highest level of evidence that provides a broader quantitative synthesis of diverse types of interventions is needed. This research is to articulate the evidence of efficacy of sedentary behaviour interventions to inform interventions to reduce sitting time. The umbrella review, therefore, synthesised systematic reviews that conducted meta-analyses of interventions aiming at reducing sedentary behaviour outcomes across all age group and settings. Method A systematic search was conducted on six databases (MEDLINE Complete, PsycINFO, CINAHL, Global Health via EBSCOhost platform, EMBASE, and Cochrane Central Register of Systematic Reviews). Included articles were systematic reviews with meta-analysis of interventions aiming at reducing sedentary behaviour (screen time, sitting time or sedentary time) in the general population across all age group. Results Seventeen reviews met the inclusion criteria (7 in children and adolescent, 10 in adults). All reviews of sedentary behaviour interventions in children and adolescents investigated intervention effectiveness in reducing screen time. Six out of 11 meta-analyses (reported in 7 reviews) showed small but significant changes in viewing time. All reviews of sedentary behaviour interventions in office workplaces indicated substantial reduction in occupational sitting time (range: 39.6 to 100 min per 8-h workday). Sub-group analyses reported a trend favouring environmental change components such as sit-stand desks, active permissive workstations etc. Meta-analyses indicated that sedentary behaviour interventions were superior to physical activity alone interventions or combined physical activity and sedentary behaviour interventions in reducing sitting time. Conclusion The current systematic reviews and meta-analyses supported sedentary behaviour interventions for reducing occupational sitting time in particular, with small changes seen in screen time in children and adolescents. Future research should explore approaches to maintaining behaviour change beyond the intervention period and investigate the potential of sedentary behaviour reduction interventions in older age groups in non-occupational settings.

Contribution Of In-school Physical Activity To Daily Activity Patterns In 5th-grade Children

2015 ◽  
Vol 47 ◽  
pp. 917
Author(s):  
Kelly A. Zook ◽  
Dale D. Brown ◽  
Skip M. Williams ◽  
Kelly R. Laurson ◽  
N. Susann Marcum
Keyword(s):  
Physical Activity ◽  
Daily Activity ◽  
Activity Patterns ◽  
5Th Grade ◽  
Daily Activity Patterns

scholarly journals Perceived Stress among Different Occupational Groups and the Interaction with Sedentary Behaviour

2019 ◽  
Vol 16 (23) ◽  
pp. 4595 ◽  
Author(s):  
Dėdelė ◽  
Miškinytė ◽  
Andrušaitytė ◽  
Bartkutė
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Perceived Stress ◽  
White Collar ◽  
Individual Characteristics ◽  
Blue Collar ◽  
Full Time ◽  
Occupational Groups ◽  
Blue Collar Workers ◽  
The Impact

Sedentary lifestyle and low physical activity are associated with health issues, including both physical and mental health, non-communicable diseases, overweight, obesity and reduced quality of life. This study investigated differences in physical activity and other individual factors among different occupational groups, highlighting the impact of sedentary behaviour on perceived stress by occupation. Cross-sectional study included 571 full-time workers of Kaunas city, Lithuania. The outcome of this study was assessment of perceived stress. Time spent sedentary per day, occupation and other individual characteristics were self-reported using questionnaires. Two main occupational groups were analysed: white-collar and blue-collar workers. Multivariate logistic regression was used to assess the impact of sedentary behaviour on perceived stress among different occupational groups. The prevalence of high sedentary behaviour was 21.7 and 16.8 % among white-collar and blue-collar workers, respectively. Blue-collar workers had a higher risk of high perceived stress (OR 1.55, 95% CI 1.05–2.29) compared to white-collar workers; however, sedentary time did not have any impact on high perceived stress level. Meanwhile, white-collar male (OR 4.34, 95% CI 1.46–12.95) and white-collar female (OR 3.26, 95% CI 1.23–8.65) workers who spend more than three hours per day sedentary had a greater risk of high levels of perceived stress. These findings indicate sedentary behaviour effect on perceived stress among two occupational groups—white-collar and blue-collar workers—and other important factors associated with perceived stress.

scholarly journals Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review

2019 ◽  
Vol 5 ◽  
pp. 205520761983988 ◽  
Author(s):  
Sarah Ann Buckingham ◽  
Andrew James Williams ◽  
Karyn Morrissey ◽  
Lisa Price ◽  
John Harrison
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Sedentary Behaviour ◽  
Mobile Health ◽  
Technology Use ◽  
Methodological Quality ◽  
Experimental Studies ◽  
Cochrane Library ◽  
Behaviour Change Techniques ◽  
The Impact

Objective This systematic review aimed to assess the effectiveness, feasibility and acceptability of mobile health (mHealth) technology (including wearable activity monitors and smartphone applications) for promoting physical activity (PA) and reducing sedentary behaviour (SB) in workplace settings. Methods Systematic searches were conducted in seven electronic databases (MEDLINE, SPORTDiscus, Scopus, EMBASE, PsycINFO, Web of Science and the Cochrane library). Studies were included if mHealth was a major intervention component, PA/SB was a primary outcome, and participants were recruited and/or the intervention was delivered in the workplace. Study quality was assessed using the Effective Public Health Practice Project (EPHPP) tool. Interventions were coded for behaviour change techniques (BCTs) using the Coventry, Aberdeen and London – Refined (CALO-RE) taxonomy. Results Twenty-five experimental and quasi-experimental studies were included. Studies were highly heterogeneous and only one was rated as ‘strong’ methodological quality. Common BCTs included self-monitoring, feedback, goal-setting and social comparison. A total of 14/25 (56%) studies reported a significant increase in PA, and 4/10 (40%) reported a significant reduction in sedentary time; 11/16 (69%) studies reported a significant impact on secondary outcomes including reductions in weight, systolic blood pressure and total cholesterol. While overall acceptability was high, a large decline in technology use and engagement was observed over time. Conclusions While methodological quality was generally weak, there is reasonable evidence for mHealth in a workplace context as a feasible, acceptable and effective tool to promote PA. The impact in the longer term and on SB is less clear. Higher quality, mixed methods studies are needed to explore the reasons for decline in engagement with time and the longer-term potential of mHealth in workplace interventions. Protocol registration: The review protocol was registered with PROSPERO: CRD42017058856

scholarly journals FRI0723 Temporal patterns of sedentary behaviour and physical activity in patients with rheumatoid arthritis

2017 ◽  
Author(s):  
SAM Fenton ◽  
JL Duda ◽  
JJ Veldhuijzen van Zanten ◽  
GS Metsios ◽  
PC Rouse ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sedentary Behaviour ◽  
Temporal Patterns
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