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An exploratory decision tree analysis to predict physical activity compliance rates in breast cancer survivors. | LitMetric

AI Article Synopsis

Article Abstract

The study of physical activity in cancer survivors has been limited to one cause, one effect relationships. In this exploratory study, we used recursive partitioning to examine multiple correlates that influence physical activity compliance rates in cancer survivors. African American breast cancer survivors ( = 267, Mean age = 54 years) participated in an online survey that examined correlates of physical activity. Recursive partitioning (RP) was used to examine complex and nonlinear associations between sociodemographic, medical, cancer-related, theoretical, and quality of life indicators. Recursive partitioning revealed five distinct groups. Compliance with physical activity guidelines was highest (82% met guidelines) among survivors who reported higher mean action planning scores ( < 0.001) and lower mean barriers to physical activity ( = 0.035). Compliance with physical activity guidelines was lowest (9% met guidelines) among survivors who reported lower mean action and coping ( = 0.002) planning scores. Similarly, lower mean action planning scores and poor advanced lower functioning ( = 0.034), even in the context of higher coping planning scores, resulted in low physical activity compliance rates (13% met guidelines). Subsequent analyses revealed that body mass index ( = 0.019) and number of comorbidities ( = 0.003) were lowest in those with the highest compliance rates. Our findings support the notion that multiple factors determine physical activity compliance rates in African American breast cancer survivors. Interventions that encourage action and coping planning and reduce barriers in the context of addressing function limitations may increase physical activity compliance rates.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581628PMC
http://dx.doi.org/10.1080/13557858.2017.1378805DOI Listing

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