Heini Wennman1, Erkki Kronholm2, Timo Partonen3, Asko Tolvanen4, Markku Peltonen5, Tommi Vasankari6,7, Katja Borodulin8. 1. National Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland. heini.wennman@thl.fi. 2. National Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland. erkki.kronholm@thl.fi. 3. National Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland. timo.partonen@thl.fi. 4. University of Jyväskylä, P.O. Box 35, 40014, Jyväskylä, Finland. asko.tolvanen@psyka.jyu.fi. 5. National Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland. markku.peltonen@thl.fi. 6. National Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland. tommi.vasankari@uta.fi. 7. UKK-Institute for Health Promotion and Research, P.O. Box 30, 33501, Tampere, Finland. tommi.vasankari@uta.fi. 8. National Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland. katja.borodulin@thl.fi.
Abstract
PURPOSE: Associations of behaviorally modifiable factors like physical activity (PA), sedentary behaviors, and sleep with cardiovascular diseases (CVDs) are complicated. We examined whether membership in latent classes (LCs) differentiated by PA and sleep profiles (real-life clustering of behaviors in population subgroups) associate with metabolic risk factors and CVD risk. METHODS: The National FINRISK 2012 Study comprise a cross-sectional sample of 10,000 Finns aged 25 to 74 years. Analyses included participants with complete data on a health questionnaire, a health examination, who had no prevalent CVD (n = 4031). LCs with PA and sleep profiles were previously defined using latent class analysis. Ten metabolic risk factors and the Framingham 10-year CVD risk score were compared between the LCs. RESULTS: PA and sleep class profiles were substantially similar for genders. Compared to LC-1, with a profile including high PA and sufficient sleep, membership in LC-4, with a profile including sedentariness and insufficient sleep was associated with high metabolic risk factors in women but not in men. In women, also membership in LC-2, with a profile including light PA, sufficient sleep, and high sedentariness was associated with high metabolic risk factors. The Framingham 10-year CVD risk score was highest in LCs 2 and 4 in both genders. CONCLUSIONS: Membership in LCs differentiated by PA and sleep profiles was associated with metabolic risk factors merely in women, suggesting gender differences in the interrelationships of health behaviors and metabolic risk factors. Total CVD risk differed between the LCs despite of gender; however, the effect was small.
PURPOSE: Associations of behaviorally modifiable factors like physical activity (PA), sedentary behaviors, and sleep with cardiovascular diseases (CVDs) are complicated. We examined whether membership in latent classes (LCs) differentiated by PA and sleep profiles (real-life clustering of behaviors in population subgroups) associate with metabolic risk factors and CVD risk. METHODS: The National FINRISK 2012 Study comprise a cross-sectional sample of 10,000 Finns aged 25 to 74 years. Analyses included participants with complete data on a health questionnaire, a health examination, who had no prevalent CVD (n = 4031). LCs with PA and sleep profiles were previously defined using latent class analysis. Ten metabolic risk factors and the Framingham 10-year CVD risk score were compared between the LCs. RESULTS: PA and sleep class profiles were substantially similar for genders. Compared to LC-1, with a profile including high PA and sufficient sleep, membership in LC-4, with a profile including sedentariness and insufficient sleep was associated with high metabolic risk factors in women but not in men. In women, also membership in LC-2, with a profile including light PA, sufficient sleep, and high sedentariness was associated with high metabolic risk factors. The Framingham 10-year CVD risk score was highest in LCs 2 and 4 in both genders. CONCLUSIONS: Membership in LCs differentiated by PA and sleep profiles was associated with metabolic risk factors merely in women, suggesting gender differences in the interrelationships of health behaviors and metabolic risk factors. Total CVD risk differed between the LCs despite of gender; however, the effect was small.
Entities:
Keywords:
Cardiovascular disease; Latent class analysis; Physical activity; Risk factors; Sleep; The Framingham risk score
Authors: Nicole G Altman; Bilgay Izci-Balserak; Elizabeth Schopfer; Nicholas Jackson; Pinyo Rattanaumpawan; Philip R Gehrman; Nirav P Patel; Michael A Grandner Journal: Sleep Med Date: 2012-11-08 Impact factor: 3.492
Authors: Heini Wennman; Erkki Kronholm; Timo Partonen; Asko Tolvanen; Markku Peltonen; Tommi Vasankari; Katja Borodulin Journal: BMC Public Health Date: 2014-01-27 Impact factor: 3.295