Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China

Wenwang Rao, Yingying Su, Guang Yang, Yue Ma, Rui Liu, Shangchao Zhang, Shibin Wang, Yingli Fu, Changgui Kou, Yaqin Yu and Qiong Yu
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Wenwang Rao: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Yingying Su: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Guang Yang: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Yue Ma: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Rui Liu: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Shangchao Zhang: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Shibin Wang: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Yingli Fu: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Changgui Kou: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Yaqin Yu: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Qiong Yu: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China

IJERPH, 2016, vol. 13, issue 5, 1-10

Abstract: Background : There is evidence that body mass index (BMI) is closely related to hyperlipidemia. This study aimed to estimate the cross-sectional relationship between Body Mass Index (BMI) and hyperlipidemia. Methods : We recruited 21,435 subjects (aged 18–79 years and residing in Jilin province, China) using the multistage stratified cluster random sampling method. Subjects were interviewed with a standardized questionnaire and physically examined. We analyzed the cross-sectional relationship between BMI and hyperlipidemia. Results : The prevalence of hyperlipidemia was 51.09% (52.04% in male and 50.21% in female). The prevalence of overweight and obesity was 31.89% and 6.23%, respectively. Our study showed that underweight (OR = 0.499, 95% CI: 0.426–0.585), overweight (OR = 2.587, 95% CI: 2.428–2.756), and obesity (OR = 3.614, 95% CI: 3.183–4.104) were significantly associated with hyperlipidemia ( p < 0.001) in the age- and sex-adjusted logistic regression. After further adjusting for age, gender, region, district, ethnicity, education, marital status, main occupation, monthly family income per capita, smoking, drinking, exercise, central obesity, waist and hip, underweight (OR = 0.729, 95% CI: 0.616–0.864), overweight (OR = 1.651, 95% CI: 1.520–1.793), and obesity (OR = 1.714, 95% CI: 1.457–2.017) were independently associated with hyperlipidemia ( p < 0.001). The restricted cubic spline model illustrated a nonlinear dose-response relationship between levels of BMI and the prevalence of hyperlipidemia ( P nonlinearity < 0.001). Conclusion : Our study demonstrated that the continuous variance of BMI was significantly associated with the prevalence of hyperlipidemia.

Keywords: hyperlipidemia; BMI; relationship (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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