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Accelerometry-assessed physical activity and sedentary behavior patterns using single- and multi-component latent class analysis among postmenopausal women
- Source :
- Women's Health, Vol 20 (2024)
- Publication Year :
- 2024
- Publisher :
- SAGE Publishing, 2024.
-
Abstract
- Background: Patterns of physical activity and sedentary behavior among postmenopausal women are not well characterized. Objectives: To describe the patterns of accelerometer-assessed physical activity and sedentary behavior among postmenopausal women. Design: Cross-sectional study. Methods: Women 63–97 years (n = 6126) wore an ActiGraph GT3X + accelerometer on their hip for 1 week. Latent class analysis was used to classify women by patterns of percent of wake time in physical activity and sedentary behavior over the week. Results: On average, participants spent two-thirds of their day in sedentary behavior (62.3%), 21.1% in light low, 11.0% in light high, and 5.6% in moderate-to-vigorous physical activity. Five classes emerged for each single-component model for sedentary behavior and light low, light high, and moderate-to-vigorous physical activity. Six classes emerged for the multi-component model that simultaneously considered the four behaviors together. Conclusion: Unique profiles were identified in both single- and multi-component models that can provide new insights into habitual patterns of physical activity and sedentary behavior among postmenopausal women. Implications: The multi-component approach can contribute to refining public health guidelines that integrate recommendations for both enhancing age-appropriate physical activity levels and reducing time spent in sedentary behavior.
- Subjects :
- Medicine
Subjects
Details
- Language :
- English
- ISSN :
- 17455065 and 17455057
- Volume :
- 20
- Database :
- Directory of Open Access Journals
- Journal :
- Women's Health
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.fe96201c78b46b3bef63e9f83bf500e
- Document Type :
- article
- Full Text :
- https://doi.org/10.1177/17455057241257361