ArticlePloS one2016
What Is the Effect on Obesity Indicators from Replacing Prolonged Sedentary Time with Brief Sedentary Bouts, Standing and Different Types of Physical Activity during Working Days? A Cross-Sectional Accelerometer-Based Study among Blue-Collar Workers.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Associations of accelerometer-based sedentary bouts with adiposity markers among German adults - results from a cross-sectional study.BMC public health · 2023Trial
- Targeting body composition in an older population: do changes in movement behaviours matter? Longitudinal analyses in the PREDIMED-Plus trial.BMC medicine · 2021Trial
- Associations of physical activity, sedentary behavior and sleep with obesity markers in Chinese college students: a compositional data analysis.BMC public health · 2026Article
- Physical activity, physical fitness and cardiometabolic health among Finnish military workers.BMJ military health · 2025Article
- From Single Movement Behaviors to Complete 24-h Behaviors Profiles and Multiple Health Outcomes-A Cross-Sectional Study Using Accelerometry.Scandinavian journal of medicine & science in sports · 2025Article
- Associations Between Workday/Leisure Day Lifestyle Behavior and Cardiovascular Disease Risk Factors Among Night Shift Workers Using the Isotemporal Substitution Model.Healthcare (Basel, Switzerland) · 2025Article
- Associations of nonoccupational sedentary behaviors with cardiometabolic outcomes: coronary artery risk development in young adults (CARDIA).Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Article
- Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.Journal of medical Internet research · 2024Article
- Synergistic effects of COVID-19 pandemic and sedentary lifestyles on obesity rates among South Korean adults.Scientific reports · 2024Article
- Article
- Sitting may increase risk for radiographic incidence and progression of knee osteoarthritis over 2 years: Data from a large cohort study.Musculoskeletal care · 2023Article
- Substituting device-measured sedentary time with alternative 24-hour movement behaviours: compositional associations with adiposity and cardiometabolic risk in the ORISCAV-LUX 2 study.Diabetology & metabolic syndrome · 2023Article
- Long sedentary time is associated with worsened cardiometabolic risk factors among university employees in Eastern Ethiopia.Scientific reports · 2022Article
- Association of Physical Activity and Sedentary Time with Cardio-Autonomic Regulation in Women.Journal of women's health (2002) · 2022Article
- Correlates of Objectively Measured Sitting Time in South Korean Adults: 2014-2015 Korea National Health and Nutrition Examination Survey.Frontiers in public health · 2022Article
- Article
- Number of steps and systolic blood pressure: Do work and leisure matter?Scandinavian journal of medicine & science in sports · 2021Article
- The context matters - not all prolonged sitting bouts are equally related to momentary affective states: an ambulatory assessment with sedentary-triggered E-diaries.The international journal of behavioral nutrition and physical activity · 2021Article
- Advanced analytical methods to assess physical activity behaviour using accelerometer raw time series data: a protocol for a scoping review.Systematic reviews · 2020Article
- Light-intensity physical activity derived from count or activity types is differently associated with adiposity markers.Scandinavian journal of medicine & science in sports · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe aim of the study was to investigate if (a) substituting total sedentary time or long sedentary bouts with standing or various types of physical activity and (b) substituting long sedentary bouts with brief sedentary bouts; is associated with obesity indicators using a cross sectional isotemporal substitution approach among blue-collar workers.
methodsA total of 692 workers from transportation, manufacturing and cleaning sectors wore an Actigraph GT3X+ accelerometer on the thigh for 1-4 working days. The sedentary (sit and lie), standing, walking, and moderate to vigorous physical activity (MVPA) time on working days was computed using validated Acti4 software. The total sedentary time and uninterrupted sedentary time spent in brief (≤5 mins), moderate (>5 and ≤30 mins), and long (>30mins) bouts, were determined for the whole day and during work and non-work time separately. The obesity indicators, BMI (kg/m2), waist circumference (cm) and fat percentage were objectively measured. Isotemporal substitution modelling was utilized to determine the linear association with obesity indicators of replacing 30 min of total sedentary time or long sedentary bouts with standing, walking or MVPA and separately replacing 30 min of long sedentary bouts with brief sedentary bouts.
resultsWorkers [mean (standard deviation, SD); age = 45.1 (9.9) years, BMI = 27.5 (4.9) kg/m2, %BF = 29.6 (9.5), waist circumference = 94.4 (13.0) cm] sat for 2.4 hours (~32% of the measured time, SD = 1.8 hours) across the day during work period and 5.5 hours (~62% of the measured time, SD = 1.5 hours) during non-work period. Most of the sedentary time was accrued in moderate bouts [work = 1.40 (SD = 1.09) hours] during work and in long bouts during non-work [2.7 (SD = 1.4) hours], while least in long sedentary bouts during work [work = 0.5 (SD = 0.9)] and in brief sedentary bouts [0.5 hours (SD = 0.3)] during non-work. Significant associations with all obesity indicators were found when 30 min of total sedentary time or long sedentary bouts were replaced with standing time (~1-2% lower) or MVPA (~4-9% lower) during whole day, work, and non-work periods. The exception was that a statistically significant association was not observed with any obesity indicator when replacing total sedentary time or long sedentary bouts with standing time during the work period. Significant beneficial associations were found when replacing the long sedentary bouts with brief sedentary bouts (~3-5% lower) during all domains.
conclusionReplacing total sedentary time and long sedentary bouts, respectively, not only with MVPA but also standing time appears to be beneficially associated with obesity indicators among blue-collar workers. Additionally, replacing long sedentary bouts with brief sedentary bouts was also beneficially associated with obesity indicators. Studies using prospective design are needed to confirm the findings.
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