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Interrelationships of Physical Activity and Sleep with Cardiovascular Risk Factors: a Person-Oriented Approach.

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Title: Interrelationships of Physical Activity and Sleep with Cardiovascular Risk Factors: a Person-Oriented Approach.
Authors: Wennman, Heini, Kronholm, Erkki, Partonen, Timo, Tolvanen, Asko, Peltonen, Markku, Vasankari, Tommi, Borodulin, Katja
Source: International Journal of Behavioral Medicine. Dec2015, Vol. 22 Issue 6, p735-747. 13p. 6 Charts.
Subjects: Metabolic disorders, Analysis of covariance, Analysis of variance, Blood pressure measurement, C-reactive protein, Cardiovascular diseases risk factors, Cluster analysis (Statistics), Confidence intervals, Hemoglobins, Hormone therapy, Low density lipoproteins, Menopause, Probability theory, Questionnaires, Research funding, Sex distribution, Sleep, Smoking, Triglycerides, Logistic regression analysis, Body mass index, Lifestyles, Cross-sectional method, Sedentary lifestyles, Physical activity, Data analysis software, Descriptive statistics, Odds ratio, Disease risk factors
Geographic Terms: Finland
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. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s12529-015-9470-6
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        Text: English
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    Subjects:
      – SubjectFull: Metabolic disorders
        Type: general
      – SubjectFull: Analysis of covariance
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      – SubjectFull: Analysis of variance
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      – SubjectFull: Blood pressure measurement
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      – SubjectFull: Cardiovascular diseases risk factors
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      – SubjectFull: Cluster analysis (Statistics)
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      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Hemoglobins
        Type: general
      – SubjectFull: Hormone therapy
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      – SubjectFull: Low density lipoproteins
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      – SubjectFull: Menopause
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      – SubjectFull: Sex distribution
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      – SubjectFull: Sleep
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      – SubjectFull: Finland
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