Daily Physical Activity Patterns and Their Associations with Cardiometabolic Biomarkers: The Maastricht Study

dc.contributor.authorLeskinen Tuija
dc.contributor.authorLima Passos Valéria
dc.contributor.authorDagnelie Pieter C.
dc.contributor.authorSavelberg Hans H. C. M.
dc.contributor.authorDe Galan Bastiaan E.
dc.contributor.authorEussen Simone J. P. M.
dc.contributor.authorStehouwer Coen D. A.
dc.contributor.authorStenholm Sari
dc.contributor.authorKoster Annemarie
dc.contributor.organizationfi=kansanterveystiede|en=Public Health|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organizationfi=väestötutkimuskeskus|en=Centre for Population Health Research (POP Centre)|
dc.contributor.organization-code1.2.246.10.2458963.20.94792640685
dc.contributor.organization-code2607008
dc.converis.publication-id179623282
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/179623282
dc.date.accessioned2025-08-28T02:20:26Z
dc.date.available2025-08-28T02:20:26Z
dc.description.abstract<p><strong>Purpose: </strong>This study aimed to identify physical activity patterns and examine their association with cardiometabolic biomarkers in a cross-sectional design.</p><p><strong>Methods: </strong>Overall 6072 participants (mean age, 60.2 yr; SD 8.6 yr, 50% women) from The Maastricht Study provided daily physical activity data collected with thigh-worn activPAL3 accelerometers. The patterns of daily physical activity over weekdays and weekend days were identified by using Group Based Trajectory Modeling. Cardiometabolic biomarkers included body mass index, waist circumference, office blood pressure, glucose, HbA1c, and cholesterol levels. Associations between the physical activity patterns and cardiometabolic outcomes were examined using the analyses of covariance adjusted for sex, age, education, smoking, and diet. Because of statistically significant interaction, the analyses were stratified by type 2 diabetes status.</p><p><strong>Results: </strong>Overall, seven physical activity patterns were identified: consistently inactive (21% of participants), consistently low active (41%), active on weekdays (15%), early birds (2%), consistently moderately active (7%), weekend warriors (8%), and consistently highly active (6%). The consistently inactive and low active patterns had higher body mass index, waist, and glucose levels compared with the consistently moderately and highly active patterns, and these associations were more pronounced for participants with type 2 diabetes. The more irregular patterns accumulated moderate daily total activity levels but had rather similar cardiometabolic profiles compared with the consistently active groups.</p><p><strong>Conclusions: </strong>The cardiometabolic profile was most favorable in the consistently highly active group. All patterns accumulating moderate to high levels of daily total physical activity had similar health profile suggesting that the amount of daily physical activity rather than the pattern is more important for cardiometabolic health.</p>
dc.format.pagerange837
dc.format.pagerange846
dc.identifier.jour-issn0195-9131
dc.identifier.olddbid208953
dc.identifier.oldhandle10024/191980
dc.identifier.urihttps://www.utupub.fi/handle/11111/36422
dc.identifier.urlhttps://journals.lww.com/acsm-msse/Fulltext/2023/05000/Daily_Physical_Activity_Patterns_and_Their.8.aspx
dc.identifier.urnURN:NBN:fi-fe2023053049475
dc.language.isoen
dc.okm.affiliatedauthorLeskinen, Tuija
dc.okm.affiliatedauthorStenholm, Sari
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3121 Internal medicineen_GB
dc.okm.discipline3142 Public health care science, environmental and occupational healthen_GB
dc.okm.discipline315 Sport and fitness sciencesen_GB
dc.okm.discipline3121 Sisätauditfi_FI
dc.okm.discipline3142 Kansanterveystiede, ympäristö ja työterveysfi_FI
dc.okm.discipline315 Liikuntatiedefi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherLippincott Williams and Wilkins
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1249/MSS.0000000000003108
dc.relation.ispartofjournalMedicine and Science in Sports and Exercise
dc.relation.issue5
dc.relation.volume55
dc.source.identifierhttps://www.utupub.fi/handle/10024/191980
dc.titleDaily Physical Activity Patterns and Their Associations with Cardiometabolic Biomarkers: The Maastricht Study
dc.year.issued2023

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