1. Excellent Self-Rated Health Associated With Activities of Higher Intensities: A Compositional Data Analysis Approach
- Author
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Maria Hagströmer and Philip von Rosen
- Subjects
Adult ,Data Analysis ,Male ,Demographics ,Adolescent ,Physical activity ,030209 endocrinology & metabolism ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Medicine ,Humans ,Orthopedics and Sports Medicine ,030212 general & internal medicine ,Socioeconomic status ,Self-rated health ,Aged ,business.industry ,Confounding ,Similar time ,Anthropometry ,Middle Aged ,Multinomial logistic regression analysis ,Exercise Therapy ,Cross-Sectional Studies ,Female ,business ,Demography - Abstract
Background: This study investigates the association between self-rated health and the time spent in sedentary behavior (SB), low light-intensity physical activity (LLPA), high light-intensity physical activity (HLPA), and moderate to vigorous physical activity (MVPA), by controlling for demographics, socioeconomic status, and chronic diseases. Methods: A total of 1665 participants (55% women) completed a questionnaire about demographics, chronic diseases, and anthropometric characteristics and provided objective physical activity data on time in SB, LLPA, HLPA, and MVPA, using an ActiGraph 7164 accelerometer. Association between self-rated health and activity data was explored in a compositional data analysis. Results: The multinomial logistic regression analysis showed a significantly lower time spent in MVPA in proportion to time in other movement behaviors (SB, LLPA, and HLPA) for participants who rated their health as alright or poor compared with excellent (P Conclusions: Promoting MVPA, as opposed to time in other movement behaviors, is suggested to be beneficial for excellent self-rated health.
- Published
- 2019