Associations of sleeping, sedentary and physical activity with phenotypic age acceleration: a cross-sectional isotemporal substitution model

Physical activity was believed to be associated with reduced aging among adults, while the competing nature of the physical activity and sedentary behavior has mainly been neglected in studies. We aimed to estimate the association of sleeping, sedentary behavior, and physical activity with aging amo...

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Published in:BMC geriatrics 2023-03, Vol.23 (1), p.165-165, Article 165
Main Authors: Han, Mengying, Fang, Jiaxin, Zhang, Yixin, Song, Xingxu, Jin, Lina, Ma, Yanan
Format: Article
Language:English
Subjects:
Accelerometry
Age
Aged
Aging
Behavior
Biomarkers
Blood
Body mass index
Creatinine
Cross-Sectional Studies
Drinking behavior
Exercise
Geriatrics
Health aspects
Humans
Isotemporal substitution model
Laboratories
Leisure
Lifestyle
Metabolism
Nutrition Surveys
Older people
Physical activity
Physical fitness
Physical fitness for the aged
Population
Questionnaires
Regression analysis
Sedentary behavior
Sleep
Variables
Walking
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Summary:Physical activity was believed to be associated with reduced aging among adults, while the competing nature of the physical activity and sedentary behavior has mainly been neglected in studies. We aimed to estimate the association of sleeping, sedentary behavior, and physical activity with aging among adults, considering the competing nature between variables of activity status. A total of 5288 participants who were 20 years or older from the National Health and Nutrition Examination Survey were involved. The questionnaire was used to collect data regarding sociodemographics (age, sex, ethnicity/race, and education), and lifestyle behaviors (smoking, drinking). The Global Physical Activity Questionnaire was used to measure self-reported time for sedentary behavior, walking/bicycling, and moderate-to-vigorous physical activity (MVPA). The sleeping duration was obtained via interview. Phenotypic age acceleration (PhenoAgeAccel) was calculated as an aging index using nine chemistry biomarkers. Isotemporal substitution models using multivariable linear regression to examine the associations of sleeping, sedentary behavior, and physical activity with PhenoAgeAccel, stratified by MVPA (
ISSN:1471-2318
1471-2318
DOI:10.1186/s12877-023-03874-6