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Associations between psychological stress, eating, physical activity, sedentary behaviours and body weight among women: a longitudinal study
Open accessAbstract
Background: There is an increased risk of obesity amongst socioeconomically disadvantaged populations and emerging evidence suggests that psychological stress may be a key factor in this relationship. This paper reports the results of cross-sectional and longitudinal analyses of relationships between perceived stress, weight and weight-related behaviours in a cohort of socioeconomically disadvantaged women. Methods: This study used baseline and follow-up self-report survey data from the Resilience for Eating and Activity Despite Inequality study, comprising a cohort of 1382 women aged 18 to 46 years from 80 of the most socioeconomically disadvantaged neighbourhoods in Victoria, Australia. Women reported their height (baseline only), weight, sociodemographic characteristics, perceived stress, leisure-time physical activity, sedentary and dietary behaviours at baseline and three-year follow-up. Linear and multinomial logistic regression were used to examine cross-sectional and longitudinal associations between stress (predictor) and weight, and weight-related behaviours. Results: Higher perceived stress in women was associated with a higher BMI, and to increased odds of being obese in cross-sectional and longitudinal analyses. Cross-sectional and longitudinal associations were found between stress and both less leisure-time physical activity, and more frequent fast food consumption. Longitudinal associations were also found between stress and increased television viewing time. Conclusion: The present study contributes to the literature related to the effects of stress on weight and weight-related behaviours. The findings suggest that higher stress levels could contribute to obesity risk in women. Further research is needed to fully understand the mechanisms underlying these associations. However, interventions that incorporate stress management techniques might help to prevent rising obesity rates among socioeconomically disadvantaged women.
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“Evidence suggests that food consumption and weight increased during the pandemic while physical activity decreased, particularly among those with higher BMI [2, 3, 4, 5, 6].”
From Supporting Weight Management during COVID-19: A Randomized Controlled Trial of a Web-Based, ACT-Based, Guided Self-Help Intervention (2022) · cites this paper as [3]
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Metadata
- Authors
- Mouchacca, J., Abbott, G. R., & Ball, K.
- Affiliations
- Deakin University (AU)
- Corresponding author
- Ball, Kylie
- Venue
- BMC Public Health
- Published
- 2013-09-11
- Volume
- 13
- Issue
- 1
- Pages
- 828-828
- ISSN
- 1471-2458 (ISSN-L)
- PMC
- PMC3848641
- OpenAlex
- W2163857792
- Cited by
- 183
- References
- 60
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 18 · 2023: 21 · 2022: 11 · 2021: 23 · 2020: 19 · 2019: 9 · 2018: 19 · 2017: 11 · 2016: 11 · 2015: 13 · 2014: 11 · 2013: 1
- FWCI
- 12.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Deakin University
- Medical Research Council
- National Health and Medical Research Council (374241, 479513)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Keywords
- psychological stress, perceived stress, obesity, body mass index, women, socioeconomic deprivation, physical activity, sedentary behavior, television viewing, fast food consumption, eating behaviour, weight gain, stress management interventions
- MeSH terms
- Adolescent, Adult, Anthropometry, Cross-Sectional Studies, Feeding Behavior, Female, Humans, Longitudinal Studies, Middle Aged, Motor Activity, Obesity, Poverty, Surveys and Questionnaires, Socioeconomic Factors, Stress, Psychological, Victoria, Body Mass Index, Incidence, Multivariate Analysis, Logistic Models, Women's Health, Risk Assessment, Vulnerable Populations, Young Adult, Sedentary Behavior
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