Bioelectrical Impedance Analysis and Cardiovascular Disease

Duijzer, E.J. (2013) Bioelectrical Impedance Analysis and Cardiovascular Disease. thesis, Medicine.

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Abstract

BACKGROUND: Despite ubiquitous use in clinical and epidemiological practice, BMI has serious disadvantages. Estimated percentage body fat (%BF) using bioelectrical impedance analysis (BIA) could be a reliable and inexpensive alternative. However, little is known about the predictive value of BIA in cardiovascular (CV) morbidity and mortality. AIM: To prospectively determine the association of BIA with the development of CV disease in the general adult population. METHODS: This study was conducted among 6,687 participants in the Prevention of Renal and Vascular End-stage Disease (PREVEND) cohort. At baseline, various anthropometric, clinical and behavioral parameters are obtained. During follow-up the main outcome is incident CV events or CV mortality. Baseline correlations are calculated with Pearson coefficients and survival analysis is done using Cox regression models. Secondary analysis was done with age- and BMI-subgroups. All analyses were done separately for men and women. RESULTS: Mean ± SD follow-up time is 6.1±1.2 years. In total 613 (9.2%) participants experienced a fatal or non-fatal CV event, of which 436 male and 177 female. Comparing different obesity measures, %BF had the highest correlation with total cholesterol in both male (r=0.157) and female (r=0.091). Hazard ratio (HR) of %BF is the highest among the different obesity measures, adjusted for Framingham risk factors. HRs (95%CI) per standardized unit increase are 1.21 (1.05-1.40) in men and 1.31 (1.02-1.69) in women. Furthermore, %BF is able to differentiate between cases and non-cases within each BMI tertile group. CONCLUSION: %BF estimated by BIA is independently associated with incident CV events. This association is stronger than BMI and waist circumference and stronger in women and younger subjects. The findings suggest that BIA could have a role in risk stratification, especially in individuals with normal weight obesity.

Item Type:	Thesis (Thesis)
Supervisor name:	faculty supervisor and Corpeleijn, E. PhD and mentor and Abbasi, A. PhD and location and department of epidemiology, UMCG
Faculty:	Medical Sciences
Date Deposited:	25 Jun 2020 10:53
Last Modified:	25 Jun 2020 10:53
URI:	https://umcg.studenttheses.ub.rug.nl/id/eprint/1374

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