teychenne-patternsandpredictors-2021.pdf (616.6 kB)
Patterns and predictors of sitting among women from disad-vantaged neighbourhoods over time: A 5-year prospective cohort study
journal contribution
posted on 2021-01-01, 00:00 authored by M Nayak, K Wills, Megan TeychenneMegan Teychenne, Jo SalmonJo Salmon, V ClelandBackground: 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.
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Journal
International journal of environmental research and public healthVolume
18Issue
9Article number
4625Pagination
1 - 13Publisher
MDPI AGLocation
Basel, SwitzerlandPublisher DOI
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1661-7827eISSN
1660-4601Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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