Background: A better understanding of how occupational indicators (e.g. job type, doing shift-work, hours worked, physical demand) influence sitting time will aid in the design of more effective health behaviour interventions. The aim of the study was to examine the associations between several occupational indicators and total, occupational and leisure-time sitting.
Methods: Cross-sectional self-report data was collected in November 2011 from 1194 participants through a telephone interview in regional Queensland, Australia (response rate was 51.9%). The Workforce Sitting Questionnaire was used to measure sitting time. Multiple logistic regression was applied to examine associations between sitting time and occupational indicators.
Results: Of all participants 77.9% were employed full-time, 72.7% had white-collar jobs, 35.7% were engaged in shift-work, 39.5% had physically demanding jobs, and 53.2% had high total sitting time (>8 hours a day). Those in physically demanding and blue-collar occupations were less likely to report high total (physically demanding: OR = 0.41,95% CI = 0.29-0.58; blue-collar: OR = 0.55,95% CI = 0.37-0.82) and occupational (physically demanding: OR = 0.26,95% CI = 0.14-0.24; blue-collar: OR = 0.32,95% CI = 0.21-0.49) sitting time compared to those in physically undemanding and white-collar occupations respectively. Working more than 8 hours per day was inversely associated with high leisure-time sitting (OR = 0.44,95% CI = 0.29-0.68). No evidence for 'compensation' effects, where lower occupational sitting is compensated with higher leisure-time sitting, was found.
Conclusions: Behaviour change interventions are needed to reduce sitting time as a means to prevent chronic disease. Workplace initiatives to reduce sitting time may be particularly important among individuals employed in white-collar and physical undemanding occupations, although other intervention strategies targeting leisure-time sitting are also required.
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http://dx.doi.org/10.1186/1471-2458-13-1110 | DOI Listing |
Health Promot Pract
January 2025
University of South Florida, Tampa, FL, USA.
. Lack of physical activity (PA) causes over 5.3 million deaths every year and causes more deaths than smoking worldwide.
View Article and Find Full Text PDFFront Public Health
January 2025
School of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Background: Musculoskeletal disorders represent a significant occupational problem due to poor ergonomic workstations among medical laboratory professionals; however, there is limited information regarding ergonomic-related musculoskeletal disorders among laboratory personnel in Ethiopia, particularly in eastern Ethiopia.
Methods: An institutional-based cross-sectional study design was implemented among 241 Medical Laboratory Professionals (MLPs) from December 20, 2023, to January 20, 2024. A standardized questionnaire adapted from the Nordic musculoskeletal questionnaire and a combination of self-administered surveys and direct observational techniques was used for data collection.
Sci Rep
December 2024
Graduate School of Engineering, University of Miyazaki, Miyazaki, 889-2192, Japan.
Accurate calving time prediction plays a critical role in ensuring the well-being of both mother and calf during parturition. Challenges during the calving process, particularly in abnormal cases, often necessitate human intervention to prevent potentially fatal outcomes. This study proposes a novel system for automated prediction of normal and abnormal cattle calving cases based on posture analysis.
View Article and Find Full Text PDFCureus
November 2024
Department of Rehabilitation Sciences, Nishikyushu University, Saga, JPN.
Objective Interventions that reduce sitting time are easier to implement than those that aim to increase physical activity in compliance with the guidelines. There is no consensus on the association between sitting time as assessed by the International Physical Activity Questionnaire (IPAQ) and physical function. We investigated the association between self-reported sitting time and physical function according to the Kihon Checklist (KCL) among community-dwelling older adults.
View Article and Find Full Text PDFIntensive Crit Care Nurs
December 2024
Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, MB, Canada; Institute of Cardiovascular Sciences, St.Boniface General Hospital Albrechtsen Research Centre, Winnipeg, MB, Canada.
Purpose: Mobilization within 24 h post-cardiac surgery (CS) supports improved patient health outcomes. Despite being safe and recommended, it is unknown how much mobility takes place post-CS in the intensive care unit (ICU). Behaviour mapping was used to describe patterns of patients' mobility in one CS ICU.
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