Excessive sitting at work and at home: Correlates of occupational sitting and TV viewing time in working adults
- PMID: 26374514
- PMCID: PMC4571074
- DOI: 10.1186/s12889-015-2243-y
Excessive sitting at work and at home: Correlates of occupational sitting and TV viewing time in working adults
Abstract
Background: Recent evidence links sedentary behaviour (or too much sitting) with poorer health outcomes; many adults accumulate the majority of their daily sitting time through occupational sitting and TV viewing. To further the development and targeting of evidence-based strategies there is a need for identification of the factors associated with higher levels of these behaviours. This study examined socio-demographic and health-related correlates of occupational sitting and of combined high levels of occupational sitting/TV viewing time amongst working adults.
Methods: Participants were attendees of the third wave (2011/12) of the Australian Diabetes, Obesity and Lifestyle (AusDiab) study who worked full-time (≥35 h/week; n = 1,235; 38 % women; mean ± SD age 53 ± 7 years). Logistic and multinomial logistic regression analyses were conducted (separately for women and men) to assess cross-sectional associations of self-reported occupational sitting time (categorised as high/low based on the median) and also the combination of occupational sitting time/TV viewing time (high/low for each outcome), with a number of potential socio-demographic and health-related correlates.
Results: Higher levels of occupational sitting (>6 h/day) were associated with higher household income for both genders. Lower levels of occupational sitting were associated with being older (women only); and, for men only, having a blue collar occupation, having a technical/vocational educational attainment, and undertaking more leisure-time physical activity (LTPA). Attributes associated with high levels of both occupational sitting and TV viewing time included white collar occupation (men only), lower levels of LTPA (both genders), higher BMI (men), and higher energy consumption (women).
Conclusions: Higher household income (both genders) and professional/managerial occupations (men only) were correlates of high occupational sitting time, relative to low occupational sitting time, while health-related factors (lower LTPA, higher BMI - men, and higher energy consumption - women) were associated with high levels of both occupational sitting and TV viewing time, relative to low occupational sitting and low TV viewing time. These findings suggest possible high-risk groups that may benefit from targeted interventions. Further research is needed on potentially modifiable environmental and social correlates of occupational sitting time, in order to inform workplace initiatives.
Similar articles
-
Understanding occupational sitting: prevalence, correlates and moderating effects in Australian employees.Prev Med. 2014 Oct;67:288-94. doi: 10.1016/j.ypmed.2014.07.031. Epub 2014 Aug 10. Prev Med. 2014. PMID: 25117522
-
Perceived neighbourhood environmental attributes and prospective changes in TV viewing time among older Australian adults.Int J Behav Nutr Phys Act. 2015 Apr 11;12:50. doi: 10.1186/s12966-015-0208-2. Int J Behav Nutr Phys Act. 2015. PMID: 25889061 Free PMC article.
-
Descriptive study of sedentary behaviours in 35,444 French working adults: cross-sectional findings from the ACTI-Cités study.BMC Public Health. 2015 Apr 14;15:379. doi: 10.1186/s12889-015-1711-8. BMC Public Health. 2015. PMID: 25884816 Free PMC article.
-
A review of occupational physical activity and sedentary behaviour correlates.Occup Med (Lond). 2016 Apr;66(3):185-92. doi: 10.1093/occmed/kqv164. Occup Med (Lond). 2016. PMID: 27016747 Review.
-
The effect of leisure time physical activity and sedentary behaviour on the health of workers with different occupational physical activity demands: a systematic review.Int J Behav Nutr Phys Act. 2021 Jul 20;18(1):100. doi: 10.1186/s12966-021-01166-z. Int J Behav Nutr Phys Act. 2021. PMID: 34284795 Free PMC article. Review.
Cited by
-
Interrelationships of physical activity in different domains: Evidence from the Geographic Research on Wellbeing (GROW) study.J Transp Health. 2017 Sep;6:538-547. doi: 10.1016/j.jth.2017.02.004. Epub 2017 Feb 21. J Transp Health. 2017. PMID: 38322237 Free PMC article.
-
Perceived Stress among Different Occupational Groups and the Interaction with Sedentary Behaviour.Int J Environ Res Public Health. 2019 Nov 20;16(23):4595. doi: 10.3390/ijerph16234595. Int J Environ Res Public Health. 2019. PMID: 31756951 Free PMC article.
-
Movement Behavior and Health Outcomes among Sedentary Adults: A Cross-Sectional Study.Int J Environ Res Public Health. 2023 Mar 6;20(5):4668. doi: 10.3390/ijerph20054668. Int J Environ Res Public Health. 2023. PMID: 36901678 Free PMC article.
-
Estimating Physical Activity and Sedentary Behavior in a Free-Living Context: A Pragmatic Comparison of Consumer-Based Activity Trackers and ActiGraph Accelerometry.J Med Internet Res. 2016 Sep 7;18(9):e239. doi: 10.2196/jmir.5531. J Med Internet Res. 2016. PMID: 27604226 Free PMC article. Clinical Trial.
-
Analysis of the Effect of Wearing Extensible and Non-Extensible Lumbar Belts on Biomechanical Factors of the Sit-to-Stand Movement and Pain-Related Psychological Factors Affecting Office Workers with Low Back Pain.Healthcare (Basel). 2021 Nov 22;9(11):1601. doi: 10.3390/healthcare9111601. Healthcare (Basel). 2021. PMID: 34828646 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical