Sarcopenic-obesity and cardiovascular disease risk in the elderly

Sarcopenic-Obesity and Cardiovascular Disease

Abstract

Objectives

To determine: 1) whether sarcopenic-obesity is a stronger predictor of cardiovascular disease (CVD) than either sarcopenia or obesity alone in the elderly, and 2) whether muscle mass or muscular strength is a stronger marker of CVD risk.

Design

Prospective cohort study.

Participants

Participants included 3366 community-dwelling older (65 years) men and women who were free of CVD at baseline.

Measurements

Waist circumference (WC), bioimpedance analysis, and grip strength were used to measure abdominal obesity, whole-body muscle mass, and muscular strength, respectively. Subjects were classified as normal, sarcopenic, obese, or sarcopenic-obese based on measures of WC and either muscle mass or strength. Participants were followed for 8 years for CVD development and proportional hazard regression models were used to compare risk estimates for CVD in the four groups after adjusting for age, sex, race, income, smoking, alcohol, and cognitive status.

Results

Compared with the normal group, CVD risk was not significantly elevated within the obese, sarcopenic, or sarcopenic-obese groups as determined by WC and muscle mass. When determined by WC and muscle strength, CVD risk was not significantly increased in the sarcopenic or obese groups, but was increased by 23% (95% confidence interval: 0.99–1.54, P=0.06) within the sarcopenic-obese group.

Conclusion

Sarcopenia and obesity alone were not sufficient to increase CVD risk. Sarcopenic-obesity, based on muscle strength but not muscle mass, was modestly associated with increased CVD risk. These findings imply that strength may be more important than muscle mass for CVD protection in old age.

Key words

Waist circumference skeletal muscle aged longitudinal study 

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Copyright information

© Serdi and Springer Verlag France 2009

Authors and Affiliations

  1. 1.School of Kinesiology and Health StudiesQueen’s UniversityKingstonCanada
  2. 2.Department of Community Health and EpidemiologyQueen’s UniversityKingstonCanada

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