AI Article Synopsis
- - This study investigates why breast cancer survivors might have high levels of sedentary behavior and how factors like demographics, health, and motivations affect this behavior.
- - Findings reveal that working part-time, marital status, and higher BMI contribute to increased sitting time, while higher income is linked to less time spent sitting in non-leisure activities.
- - The study suggests the need for future research to measure sedentary behavior more accurately over time, which could help in creating effective interventions for increasing activity levels post-treatment.
Article Abstract
Purpose: Sedentary behavior is associated with poor health outcomes including obesity, lower quality of life, and mortality in breast cancer survivors. This study sought to identify motivational, demographic, and disease characteristics of breast cancer survivors who engage in greater amounts of sedentary behavior.
Methods: Multivariate linear regression models estimated associations between demographic, disease, and health characteristics with reported sitting in breast cancer survivors (n = 279; M = 60.7 (± 9.7) years). Regression models estimated associations between motivational factors and reported sitting adjusted for demographic and disease and health covariates.
Results: Working at least part-time and marital status were associated various sitting domains including weekday and non-leisure sitting. Higher BMI was associated with more average daily, weekend, and weekday sitting. High income was additionally associated with less non-leisure sitting. The belief that sedentary behavior is bad for health, physical function, and self-evaluative OE, and lifestyle self-efficacy were associated with multiple sitting domains in both univariate and covariate-adjusted models.
Conclusions: Future work should examine the relationships between motivational, demographic, and disease predictors and objectively measured sedentary behavior over time and across different sedentary behavior domains. Understanding activity changes during and after treatment is needed to identify intervention targets and develop effective interventions.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538257 | PMC |
| http://dx.doi.org/10.1007/s10552-019-01153-7 | DOI Listing |
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