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Association of obesity indices with physiological markers for cardiovascular disease among middle age and elderly in Chuncheon : Hallym Aging Study
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Jin Young Jeong, Jeong Hun Kim, Young Ho Choi, Soong Nang Jang, Yong Jun Choi, Dong Hyun Kim
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Korean J Epidemiol. 2008;30(1):89-99. Published online June 30, 2008
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DOI: https://doi.org/10.4178/kje.2008.30.1.89
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Abstract
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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Summary
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Citations
Citations to this article as recorded by  - What is the Most Reliable Obesity Iindex in Korean Elderly Population?
June Hyung Yoon, Jongwoo Kim, Seon Yeong Lee, Kyunam Kim, In Young Cho, Young M Cho
The Korean Journal of Obesity.2012; 21(3): 140. CrossRef
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Development of Risk Prediction Model for Cardiovascular Disease Using Intima Media Thickness of Carotid Artery Among Community-Dwelling Elderly.
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Jin Young Jeong, Kyung Soon Hong, Soong Nang Jang, Young Ho Choi, Moon Gi Choi, Sang Kon Lee, Hyun Ah Kim, Seok Won Park, Na Rae Hong, Dong Hyun Kim
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Korean J Epidemiol. 2007;29(2):187-199.
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Abstract
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Abstract
PURPOSE
This study was performed to develop risk prediction model for cardiovascular disease using intima-media thickness (IMT) of carotid artery among the community dwelling elderly.METHODS Follow-up survey was conducted in 2007 to measure the IMT of carotid artery, which is known as a preclinical marker of atherosclerotic change, among participants at the baseline survey of Hallym Aging Study (HAS) in 2004. They were categorized into two groups; increased IMT > or = 0.9 mm and normal IMT < 0.9 mm. To evaluate which factors are independently related with the increased IMT, multiple logistic regression analysis was done. Based on the regression coefficients of these factors weighed by the magnitude of the effect estimates, we calculated the risk scores for increased IMT for every participants. ROC curve was plotted for the each cutoff point of risk scores and its fitness was tested using Area Under the Curve (AUC).
Finally, we calculated risk ratios for the increased IMT according to the level of risk based on the risk scores.RESULTS Several factors were found as related factors for the increased IMT in the multiple logistic regression: age (beta=0.15), cholesterol (beta=0.01), insulin (beta=0.13), and pulse pressure (beta=0.90) for men, and age (beta=0.08), family history of diabetes mellitus (beta=0.94) and stroke (beta=0.79), alcohol drinking (beta=0.39), and high cholesterol (beta=0.77) for women. We assigned the weighed value for each factors. The average risk scores were 14.48 (range 9.69-18.76) for men and 4.59 (range 2.41-7.48) for women. The Area Under the Curve (AUC) were 0.77 for men and 0.71 for women. We also observed the higher risk of increased IMT as the risk scores increased.CONCLUSION Based on the results, we expect to predict the level of the risk for the increased IMT, which is preclinical marker for atherosclerotic change, among the elderly.
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