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Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study

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 occu...

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Autores principales: Vandelanotte, Corneel, Duncan, Mitch J, Short, Camille, Rockloff, Matthew, Ronan, Kevin, Happell, Brenda, Di Milia, Lee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879072/
https://www.ncbi.nlm.nih.gov/pubmed/24289321
http://dx.doi.org/10.1186/1471-2458-13-1110
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author Vandelanotte, Corneel
Duncan, Mitch J
Short, Camille
Rockloff, Matthew
Ronan, Kevin
Happell, Brenda
Di Milia, Lee
author_facet Vandelanotte, Corneel
Duncan, Mitch J
Short, Camille
Rockloff, Matthew
Ronan, Kevin
Happell, Brenda
Di Milia, Lee
author_sort Vandelanotte, Corneel
collection PubMed
description 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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spelling pubmed-38790722014-01-03 Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study Vandelanotte, Corneel Duncan, Mitch J Short, Camille Rockloff, Matthew Ronan, Kevin Happell, Brenda Di Milia, Lee BMC Public Health Research Article 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. BioMed Central 2013-12-01 /pmc/articles/PMC3879072/ /pubmed/24289321 http://dx.doi.org/10.1186/1471-2458-13-1110 Text en Copyright © 2013 Vandelanotte et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Vandelanotte, Corneel
Duncan, Mitch J
Short, Camille
Rockloff, Matthew
Ronan, Kevin
Happell, Brenda
Di Milia, Lee
Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study
title Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study
title_full Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study
title_fullStr Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study
title_full_unstemmed Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study
title_short Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study
title_sort associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879072/
https://www.ncbi.nlm.nih.gov/pubmed/24289321
http://dx.doi.org/10.1186/1471-2458-13-1110
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