University Of Tasmania
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Patterns and predictors of sitting among women from disad-vantaged neighbourhoods over time: A 5-year prospective cohort study

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journal contribution
posted on 2023-05-21, 03:15 authored by Nayak, M, Karen WillsKaren Wills, Teychenne, M, Salmon, J, Verity ClelandVerity Cleland

Background: Our aim was to describe patterns of sitting over time and determine the sociodemographic predictors of sitting over time among women living in socioeconomically disadvantaged neighbourhoods.

Methods: Women age between 18 and 45 years (mean = 34.4 ±8.1, n = 4349) reported their sitting time, sociodemographic (e.g., age), and health (e.g., body mass index) three times over 5 years. Linear mixed modelling was used to determine the predictors of change in sitting over time, adjusting for covariates.

Results: Mean baseline sitting time was 40.9 h/week, decreasing to 40.1 h/week over five years. Greater sitting time was reported in participants ≤25 years of age, living with obesity, living in urban areas, self-reported poor/fair health, working full-time, with higher education, never married and with no children. Annually, the average sitting time decreased by 0.4 h/week (95% CI; -0.7 to -0.05) in women working full-time but increased by 0.1 h/week (95% CI; -0.2 to 0.6) who were not working. Similarly, annual sitting time decreased by 0.6 h/week (95% CI; -0.2 to 1.3) in women with no children but increased by 0.4 h/week (95% CI; -0.2 to 0.5) and 0.9 h/week (95% CI; 0.3 to 1.3) among those with two and three/more children, respectively.

Conclusion: Among disadvantaged women, those not working and with two or more children may be at particular risk for increased sitting time and warrant further attention.


Publication title

International Journal of Environmental Research and Public Health










Menzies Institute for Medical Research



Place of publication


Rights statement

Copyright 2021 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

Repository Status

  • Open

Socio-economic Objectives

Determinants of health