Device-Measured Sleep Characteristics, Daily Step Count, and Cardiometabolic Health Markers: Findings From the Prospective Physical Activity, Sitting, and Sleep (ProPASS) Consortium

dc.contributor.authorBian, Wenxin
dc.contributor.authorAhmadi, Matthew N.
dc.contributor.authorBiswas, Raaj Kishore
dc.contributor.authorBlodgett, Joanna M.
dc.contributor.authorAtkin, Andrew J.
dc.contributor.authorChan, Hsiu-Wen
dc.contributor.authordel Pozo Cruz
dc.contributor.authorBorja
dc.contributor.authorSuorsa, Kristin
dc.contributor.authorBakker, Esmée A.
dc.contributor.authorPulsford, Richard M.
dc.contributor.authorMielke, Gregore I.
dc.contributor.authorJohansson, Peter J.
dc.contributor.authorHettiarachchi, Pasan
dc.contributor.authorKoemel, Nicholas A.
dc.contributor.authorThijssen, Dick H. J.
dc.contributor.authorStenholm, Sari
dc.contributor.authorMishra, Gita D.
dc.contributor.authorTeixeira-Pinto, Armando
dc.contributor.authorRangul, Vegar
dc.contributor.authorSherar, Lauren B.
dc.contributor.authorEkelund, Ulf
dc.contributor.authorHughes, Alun D.
dc.contributor.authorLee, I-Min
dc.contributor.authorCistulli, Peter A.
dc.contributor.authorHoltermann, Andreas
dc.contributor.authorKoster, Annemarie
dc.contributor.authorHamer, Mark
dc.contributor.authorStamatakis, Emmanuel
dc.contributor.authorProPASS Collaboration
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-id499838206
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/499838206
dc.date.accessioned2026-01-21T13:37:05Z
dc.date.available2026-01-21T13:37:05Z
dc.description.abstract<p><b>BACKGROUND:</b><br></p><p> Sleep and physical activity (PA) are important lifestyle-related behaviors that impact cardiometabolic health. This study investigated the joint associations of daily step count and sleep patterns (regularity and duration) with cardiometabolic biomarkers in adults. <br></p><p><b>METHODS:</b><br></p><p> We conducted a cross-sectional study using pooled data from the Prospective PA, Sitting, and Sleep Consortium, comprising 6 cohorts across Europe and Australia with thigh-worn accelerometry data collected between 2011 and 2021. The sleep regularity index, a metric that quantifies day-to-day sleep consistency, sleep duration (h/d), and steps (per day), was derived from the accelerometer data and categorized based on tertiles and sleep duration guidelines. We used multivariate generalized linear models to examine joint associations of sleep patterns and total daily step count with individual cardiometabolic biomarkers, including body mass index, waist circumference, total cholesterol, HDL (high-density lipoprotein) cholesterol, triglycerides, HbA1c (glycated hemoglobin), and a composite cardiometabolic health score (mean of the 6 standardized biomarker <i>Z </i>scores). <br></p><p><b>RESULTS: </b><br></p><p>The sample included 11 903 adults with a mean±SD age of 54.7±9.5 years, 54.9% female, a sleep regularity index of 78.7±10.4, and 10 206.4±3442.2 daily steps. Lower PA (<8475 steps/d) combined with either lower sleep regularity (sleep regularity index <75.9) or short sleep duration (<7 h/d) was associated with the least favorable composite cardiometabolic health. The corresponding <i>Z </i>scores (95% CI) were 0.34 (0.30-0.38) and 0.26 (0.22-0.31) compared with those with optimal sleep (sleep regularity index >84.5 or 7-8 h/d) and high step count (>11 553 steps/d). The combination of low sleep regularity and low daily steps was associated with higher body mass index (2.92 [2.61-3.24] kg/m<sup>2</sup>), waist circumference (8.58 [7.78-9.38] cm), total cholesterol (0.15 [0.07-0.23] mmol/L), and lower HDL levels (0.17 [0.14-0.2] mmol/L), regardless of sleep duration. The combination of short sleep and low step count had the strongest unfavorable associations for body mass index (2.31 [1.98-2.65] kg/m<sup>2</sup>) and waist circumference (7.01 [6.15-7.87] cm). <br></p><p><b>CONCLUSIONS: </b><br></p><p>Our findings suggest that the potential deleterious associations of irregular or insufficient sleep with cardiometabolic health outcomes may be exaggerated by lower daily PA. Investigation of the prospective joint association of sleep patterns and PA with cardiometabolic health may be warranted.</p>
dc.identifier.eissn1941-7705
dc.identifier.jour-issn1941-7713
dc.identifier.olddbid213173
dc.identifier.oldhandle10024/196191
dc.identifier.urihttps://www.utupub.fi/handle/11111/54881
dc.identifier.urlhttps://doi.org/10.1161/CIRCOUTCOMES.124.011873
dc.identifier.urnURN:NBN:fi-fe202601216350
dc.language.isoen
dc.okm.affiliatedauthorSuorsa, Kristin
dc.okm.affiliatedauthorStenholm, Sari
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3121 Internal medicineen_GB
dc.okm.discipline3121 Sisätauditfi_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.articlenumbere011873
dc.relation.doi10.1161/CIRCOUTCOMES.124.011873
dc.relation.ispartofjournalCirculation: Cardiovascular Quality and Outcomes
dc.relation.issue8
dc.relation.volume18
dc.source.identifierhttps://www.utupub.fi/handle/10024/196191
dc.titleDevice-Measured Sleep Characteristics, Daily Step Count, and Cardiometabolic Health Markers: Findings From the Prospective Physical Activity, Sitting, and Sleep (ProPASS) Consortium
dc.year.issued2025

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