ArticleNutrients2024
Association of Physical Activity with Phenotypic Age among Populations with Different Breakfast Habits.
Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Cross-Sectional and Longitudinal Association Between Biological Aging Acceleration and the Risk of Osteoarthritis: A Cohort Study From UK Biobank.International journal of rheumatic diseases · 2026Article
- Dyslipidemia as a key nexus linking depression and aging acceleration: unraveling the mediating role of lipid accumulation product (LAP).European archives of psychiatry and clinical neuroscience · 2026Article
- Association of phenotypic age acceleration with the risk of all-cause and cardiovascular disease-related mortality in patients with hypertension.Blood pressure monitoring · 2025Article
- Association of longitudinal body mass index trajectories with phenotypic age acceleration: a cross-sectional study based on growth mixture modeling.GeroScience · 2025Article
- Associations of lung function impairment and biological aging with mortality and cardiovascular disease incidence: findings from UK biobank participants.Frontiers in public health · 2025Article
- Exploring the impact of women-specific reproductive factors on phenotypic aging and the role of life's essential 8.Nutrition journal · 2024Article
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Authors and funding
9 authors.
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Abstract
backgroundThe global aging situation has reached a serious stage, and healthy lifestyles, like regular physical activity and eating breakfast, could slow the process. Phenotypic age (PhenoAge) is regarded as a novel measure of aging. Therefore, our study aimed to quantify the impact of physical activity and eating breakfast on aging via PhenoAge and phenotypic age acceleration (PhenoAgeAccel).
methodsA total of 3719 adults who participated in the National Health and Nutrition Examination Survey were involved in this study. Physical activity was divided into an active group and an inactive group. According to the number of reported breakfast recalls, eating breakfast was divided into the no recalls group, one recall group, and both recalls group. Sensitivity analysis was performed by stratified analysis.
resultsActive physical activity was a protective factor for PhenoAge and PhenoAgeAccel. Compared to the inactive group, the β values of the active group were -8.36 (-10.09, -6.62) for PhenoAge and -1.67 (-2.21, -1.14) for PhenoAgeAccel. The stratified analysis results showed that in the groups reporting breakfast in both recalls, one recall, and no recalls, the β values of the active group were -8.84 (-10.70, -6.98), -8.17 (-12.34, -4.00), and -3.46 (-7.74, 0.82), respectively, compared to the inactive group.
conclusionsActive physical activity was strongly correlated with lower values of PhenoAge and PhenoAgeAccel, but the association was no longer statistically significant when combined with not regularly eating breakfast.
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