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Korean J Epidemiol. 2008 Jun;30(1):89-99. Korean. Original Article.
Jeong JY , Kim JH , Choi YH , Jang SN , Choi YJ , Kim DH .
Department of Social and Preventive Medicine, Hallym College of Medicine, Korea.
Hallym Research Institute of Clinical Epidemiology, Korea.
Department of Family Medicine, Won Hospital, Korea.
Department of Family Medicine, Hallym University College of Medicine, Korea.
Department of Society, Human Development and Health, Harvard School of Public Health, Korea.

PURPOSE: This study was performed to evaluate association of obesity indices with physiological markers for cardiovascular disease(CVD) in community dwelling middle aged and elderly populations. METHODS: We evaluated cross-sectional association of obesity indices with physiological markers for CVD using the data of Hallym Aging Study(HAS) conducted in 2004. Information on general characteristics and medical histories were collected by trained interviewers. Also obesity indices including waist circumference(WC), waist to hip ratio(WHR), body mass index(BMI), and body fat mass(BFM), and physiological markers of CVD including systolic blood pressure(SBP), diastolic blood pressure(DBP), triglyceride(TG), high density lipoprotein cholesterol(HDL-C), total cholesterol(TC), and fasting blood sugar(FBS) were measured by clinical staffs. 589 out of the 922 participated in HAS were enrolled in the final analysis, excluding 333 who had been diagnosed and medicated due to obesity-related diseases. Age and gender specific correlation coefficients between obesity indices and physiological markers for CVD were calculated by partial spearman correlations using SAS ver 9.1. RESULTS: The strength of correlation of obesity indices and physiological markers of CVD changed with age. The correlations between SBP, DBP, TG and HDL-C and obesity indices were attenuated with age, whereas those of TC, FBS and LDL-C were increased among the elderly. These patterns were similar in both gender. CONCLUSIONS: These findings show that more appropriate obesity indices according to age are needed to evaluate the association between these indices and CVD risks.

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