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

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.

Factors relating to sustainability and scalability of the ‘Food, Move, Sleep (FOMOS) for Postnatal Mental Health’ program: Qualitative perspectives from key stakeholders across Australia

“…Although estimates vary widely, PND has been reported to affect up to 23%, 33% and 64% of women in Europe, Australia and America respectively 2 . Physical inactivity, 3 poor diet quality, 4 poor sleep quality 5 and sedentary behaviour 6 are behavioural risk factors for PND and postnatal women are at particular risk of these 7–10 . This underscores the importance of designing and delivering multi‐behavioural interventions to reduce PND risk that can be effectively implemented during the postnatal period, which is a critical life‐stage for PND prevention.…”

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

“…The difference in physical activity levels between men and women is even greater in high-and middleincome countries with higher income inequality compared to low-income countries [24]. Barriers to physical activity for women are multifactorial but include socially determined resources such as time and income [25] and childcaring responsibilities [26]. Women living in socioeconomically disadvantaged areas therefore experience intersectional disadvantage and engage in less leisure-time physical activity compared to those from high socioeconomic areas [9,27].…”