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

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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
    Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR 999078, 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)

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.

Suggested Citation

  • Wenwang Rao & Yingying Su & Guang Yang & Yue Ma & Rui Liu & Shangchao Zhang & Shibin Wang & Yingli Fu & Changgui Kou & Yaqin Yu & Qiong Yu, 2016. "Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China," IJERPH, MDPI, vol. 13(5), pages 1-10, May.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:5:p:516-:d:70498
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    References listed on IDEAS

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    1. Nicola Orsini & Rino Bellocco & Sander Greenland, 2006. "Generalized least squares for trend estimation of summarized dose–response data," Stata Journal, StataCorp LP, vol. 6(1), pages 40-57, March.
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    Cited by:

    1. Li Cao & Jie Zhou & Yun Chen & Yanli Wu & Yiying Wang & Tao Liu & Chaowei Fu, 2021. "Effects of Body Mass Index, Waist Circumference, Waist-to-Height Ratio and Their Changes on Risks of Dyslipidemia among Chinese Adults: The Guizhou Population Health Cohort Study," IJERPH, MDPI, vol. 19(1), pages 1-14, December.
    2. Yue Ma & Liping Peng & Changgui Kou & Shucheng Hua & Haibo Yuan, 2017. "Associations of Overweight, Obesity and Related Factors with Sleep-Related Breathing Disorders and Snoring in Adolescents: A Cross-Sectional Survey," IJERPH, MDPI, vol. 14(2), pages 1-10, February.

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