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Associations Between Leisure‐Time Physical Activity and Metabolomics‐Based Markers of Biological Aging in Late Midlife: Short‐Term and Long‐Term Follow‐Up
by
Mikkola, Tuija M.
, Wasenius, Niko S.
, Laine, Merja K.
, Ruutu, Katri
, Eriksson, Johan G.
, Narasimhan, Kothandaraman
in
accelerometer‐based physical activity
/ Aged
/ Aging
/ Aging - metabolism
/ Aging - physiology
/ biological aging
/ Biomarkers
/ Biomarkers - blood
/ Biomarkers - metabolism
/ Cohort analysis
/ DNA methylation
/ Exercise
/ Exercise - physiology
/ Female
/ Follow-Up Studies
/ Hospitals
/ Humans
/ Leisure
/ Leisure Activities
/ leisure‐time physical activity
/ Male
/ metabolic aging
/ Metabolism
/ Metabolomics
/ Metabolomics - methods
/ Middle age
/ Middle Aged
/ Mortality
/ NMR
/ Nuclear magnetic resonance
/ Physical activity
/ Physical fitness
/ Questionnaires
/ Regression analysis
2025
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Associations Between Leisure‐Time Physical Activity and Metabolomics‐Based Markers of Biological Aging in Late Midlife: Short‐Term and Long‐Term Follow‐Up
by
Mikkola, Tuija M.
, Wasenius, Niko S.
, Laine, Merja K.
, Ruutu, Katri
, Eriksson, Johan G.
, Narasimhan, Kothandaraman
in
accelerometer‐based physical activity
/ Aged
/ Aging
/ Aging - metabolism
/ Aging - physiology
/ biological aging
/ Biomarkers
/ Biomarkers - blood
/ Biomarkers - metabolism
/ Cohort analysis
/ DNA methylation
/ Exercise
/ Exercise - physiology
/ Female
/ Follow-Up Studies
/ Hospitals
/ Humans
/ Leisure
/ Leisure Activities
/ leisure‐time physical activity
/ Male
/ metabolic aging
/ Metabolism
/ Metabolomics
/ Metabolomics - methods
/ Middle age
/ Middle Aged
/ Mortality
/ NMR
/ Nuclear magnetic resonance
/ Physical activity
/ Physical fitness
/ Questionnaires
/ Regression analysis
2025
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Associations Between Leisure‐Time Physical Activity and Metabolomics‐Based Markers of Biological Aging in Late Midlife: Short‐Term and Long‐Term Follow‐Up
by
Mikkola, Tuija M.
, Wasenius, Niko S.
, Laine, Merja K.
, Ruutu, Katri
, Eriksson, Johan G.
, Narasimhan, Kothandaraman
in
accelerometer‐based physical activity
/ Aged
/ Aging
/ Aging - metabolism
/ Aging - physiology
/ biological aging
/ Biomarkers
/ Biomarkers - blood
/ Biomarkers - metabolism
/ Cohort analysis
/ DNA methylation
/ Exercise
/ Exercise - physiology
/ Female
/ Follow-Up Studies
/ Hospitals
/ Humans
/ Leisure
/ Leisure Activities
/ leisure‐time physical activity
/ Male
/ metabolic aging
/ Metabolism
/ Metabolomics
/ Metabolomics - methods
/ Middle age
/ Middle Aged
/ Mortality
/ NMR
/ Nuclear magnetic resonance
/ Physical activity
/ Physical fitness
/ Questionnaires
/ Regression analysis
2025
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Associations Between Leisure‐Time Physical Activity and Metabolomics‐Based Markers of Biological Aging in Late Midlife: Short‐Term and Long‐Term Follow‐Up
Journal Article
Associations Between Leisure‐Time Physical Activity and Metabolomics‐Based Markers of Biological Aging in Late Midlife: Short‐Term and Long‐Term Follow‐Up
2025
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Overview
Physical activity (PA) may delay the onset of age‐related diseases by decelerating biological aging. We investigated the association between leisure‐time physical activity (LTPA) and metabolomics‐based aging markers (MetaboAge and MetaboHealth) in late midlife and during 16 years of follow‐up. At the 16‐year follow‐up, we also investigated the association between device‐based PA and MetaboAge and MetaboHealth. We included 1816 individuals (mean age 61.6 years) from the Helsinki Birth Cohort Study at baseline and followed them up for 5 (n = 982) and 16 years (n = 744), respectively. LTPA was assessed via questionnaire at baseline and 16 years later and device‐based PA with ActiGraph accelerometer at the 16‐year follow‐up. Fasting blood samples were applied to calculate MetaboAge acceleration (ΔmetaboAge) and MetaboHealth at baseline and at both follow‐ups. Covariate‐adjusted multiple regression analyses and linear mixed models were applied to study the associations. A higher volume of LTPA at baseline was associated with a lower MetaboHealth score at the 5‐year follow‐up (p < 0.0001 for time × LTPA interaction). No associations were detected at the 16‐year follow‐up. An increase in LTPA over 16 years was associated with a decrease in MetaboHealth score (p < 0.001) and a decrease in LTPA with an increase in MetaboHealth score. Higher device‐based PA was associated with a lower MetaboHealth score, but not with ΔmetaboAge. In conclusion, higher LTPA in late midlife and device‐based PA in old age were associated with improved MetaboHealth. Increasing LTPA with age may protect against MetaboHealth‐based aging. The results support the importance of PA for biological aging in later life. PA may delay the onset of age‐related diseases by decelerating biological aging. We found that higher self‐reported amounts of PA in late midlife and device‐based PA in old age were associated with improved MetaboHealth and that reaching twice the amount of the current PA recommendations in late midlife may lead to decelerated biological aging. In addition, increasing LTPA from late midlife to old age may protect against metabolomics‐based biological aging.
Publisher
John Wiley & Sons, Inc,John Wiley and Sons Inc
Subject
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