Literature DB >> 33925383

Patterns and Predictors of Sitting among Women from Disad-Vantaged Neighbourhoods over Time: A 5-Year Prospective Cohort Study.

Minakshi Nayak1, Karen Wills1, Megan Teychenne1,2, Jo Salmon2, Verity Cleland1,2.   

Abstract

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.

Entities:  

Keywords:  low socioeconomic position; sedentary behaviour; sitting time; women

Year:  2021        PMID: 33925383     DOI: 10.3390/ijerph18094625

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  33 in total

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Review 4.  Correlates of sedentary behaviour in adults: a systematic review.

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7.  Multiple imputation using chained equations: Issues and guidance for practice.

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8.  Cohort profile: the resilience for eating and activity despite inequality (READI) study.

Authors:  Kylie Ball; Verity Cleland; Jo Salmon; Anna F Timperio; Sarah McNaughton; Lukar Thornton; Karen Campbell; Michelle Jackson; Louise A Baur; Gita Mishra; Johannes Brug; Robert W Jeffery; Abby King; Ichiro Kawachi; David A Crawford
Journal:  Int J Epidemiol       Date:  2012-12-18       Impact factor: 7.196

9.  Sitting time and mortality from all causes, cardiovascular disease, and cancer.

Authors:  Peter T Katzmarzyk; Timothy S Church; Cora L Craig; Claude Bouchard
Journal:  Med Sci Sports Exerc       Date:  2009-05       Impact factor: 5.411

10.  Appropriate inclusion of interactions was needed to avoid bias in multiple imputation.

Authors:  Kate Tilling; Elizabeth J Williamson; Michael Spratt; Jonathan A C Sterne; James R Carpenter
Journal:  J Clin Epidemiol       Date:  2016-07-19       Impact factor: 6.437

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  2 in total

1.  Barriers and Facilitators to Participating in an Exercise Referral Scheme among Women Living in a Low Socioeconomic Area in Australia: A Qualitative Investigation Using the COM-B and Theoretical Domains Framework.

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2.  Impacts of life-events on sitting, TV viewing and computer use among women from disadvantaged neighbourhoods.

Authors:  Minakshi Nayak; Karen Wills; Megan Teychenne; Verity Cleland
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  2 in total

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