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Published on: March 7, 2019
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Accelerometry-assessed physical activity and sedentary behavior patterns using single- and multi-component latent
Kelly R Evenson1, Fang Wen1, Chongzhi Di2
1Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Women'S Health (London, England)
|May 28, 2024
Summary
Postmenopausal women spend most of their day sedentary. Identifying distinct physical activity and sedentary behavior patterns can inform public health guidelines for this population.
Area of Science:
- Gerontology
- Public Health
- Kinesiology
Background:
- Physical activity and sedentary behavior patterns in postmenopausal women are not well understood.
- Characterizing these behaviors is crucial for targeted health interventions.
Purpose of the Study:
- To describe the patterns of physical activity and sedentary behavior in postmenopausal women using accelerometer data.
- To identify distinct profiles of habitual physical activity and sedentary behavior.
Main Methods:
- A cross-sectional study involving 6126 women aged 63-97 years.
- Participants wore an accelerometer for one week to assess physical activity and sedentary behavior.
- Latent class analysis was employed to classify women into distinct behavioral patterns.
Main Results:
- On average, women spent 62.3% of their day in sedentary behavior.
- Light physical activity comprised 21.1% and 11.0% of the day, while moderate-to-vigorous activity was 5.6%.
- Five classes emerged for single behaviors, and six classes for a multi-component model integrating all behaviors.
Conclusions:
- Unique profiles of physical activity and sedentary behavior were identified in postmenopausal women.
- These findings offer new insights into habitual patterns for this demographic.
- A multi-component approach can refine public health guidelines for physical activity and sedentary behavior.
