Evidence map›Paper›PMID 41191956›Full record

ArticleMedicine and science in sports and exercise2026

Leisure-Time Physical Activity Trajectories across Adulthood and Cardiometabolic Risk at the Beginning of Late Adulthood: A Prospective Cohort Study.

Tiina Savikangas, Katja Kokko, Johanna Ahola, Tiia Kekäläinen, Marja-Liisa Kinnunen, Emmi Reinilä, Eero A Haapala

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Article in Medicine and science in sports and exercise, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tiina SavikangasGerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND.
Katja KokkoGerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND.
Johanna AholaGerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND.
Tiia KekäläinenLaurea University of Applied Sciences, Vantaa, FINLAND.
Marja-Liisa KinnunenThe Wellbeing Services County of Central Finland, Jyväskylä, FINLAND.
Emmi ReiniläGerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND.
Eero A HaapalaSports & Exercise Medicine, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePhysical activity (PA) is a key strategy in preventing and treating metabolic syndrome (MetS). The purpose is to investigate the associations of leisure-time PA (LTPA) trajectories across adulthood and current PA with MetS at age 61.

methodsParticipants were 159 Finnish adults (52% women). LTPA frequency was assessed at ages 27, 42, 50, and 61 with a single question. Current PA at age 61 included self-reported vigorous, muscle-strengthening, commuting, and occupational PA. Cardiometabolic risk factors at age 61 included waist circumference, blood pressure, high-density lipoprotein cholesterol, triglycerides, and glucose. MetS was defined based on the Adult Treatment Panel III criteria. LTPA trajectories were conducted using k-means for longitudinal data.

resultsOf the three LTPA trajectories found, consistently inactive ( N = 34) and increasingly active ( N = 58) had a higher risk of MetS compared with consistently active ( N = 67) (odds ratio [95% confidence interval]: 3.93 [1.55-10.01] and 2.39 [1.14-4.99], respectively). Only the difference between consistently inactive and consistently active remained statistically significant when the current PA indicators were included in the model. Considering the individual components of MetS, those who were consistently inactive and increasingly active had higher waist circumference, lower high-density lipoprotein, and higher triglyceride levels compared with consistently active. These differences did not remain statistically significant when current PA was included.

conclusionsAlthough consistently inactive and increasingly active individuals had higher cardiometabolic risk at age 61 compared with those who were consistently active across adulthood, current PA participation at the beginning of late adulthood attenuated these risks. These findings emphasize the importance of promoting and sustaining PA throughout life to reduce the burden of MetS in the aging population.

Indexed as

Cardiometabolic Risk FactorsExerciseLeisure ActivitiesMetabolic SyndromeAdultBlood GlucoseBlood PressureCholesterol, HDLFemaleFinlandHumansMaleMiddle AgedProspective StudiesRisk FactorsTriglyceridesBlood GlucoseCholesterol, HDLTriglyceridesBLOOD PRESSURECENTRAL OBESITYDYSLIPIDAEMIAMETABOLIC SYNDROMEMIDLIFETRAJECTORY

Identifiers

PMID41191956
PMCPMC12863631

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.