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Sex differences in the non-linear association between BMI and LDL cholesterol in middle-aged and older adults: findings from two nationally representative surveys in China.
Li, Haibin; Ma, Jiahui; Zheng, Deqiang; Li, Xia; Guo, Xiuhua; Wang, Jing; Su, Pixiong.
Affiliation
  • Li H; Department of Cardiac Surgery, Heart Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
  • Ma J; Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
  • Zheng D; Department of Anesthesiology and Critical Care Medicine, Peking University First Hospital, Beijing, China.
  • Li X; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
  • Guo X; Department of Mathematics and Statistics, La Trobe University, Melbourne, Victoria, Australia.
  • Wang J; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
  • Su P; Department of Clinical Laboratory, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China. kyc6636@126.com.
Lipids Health Dis ; 20(1): 162, 2021 Nov 14.
Article in En | MEDLINE | ID: mdl-34774059
BACKGROUND: The relationship between body mass index (BMI) and low-density lipoprotein cholesterol (LDL-C) has not been clearly elucidated in middle-aged and older adults. This study aimed to evaluate the non-linear dose-response relationship between BMI and LDL-C in males and females. METHODS: Data was obtained from two nationally representative surveys in China-the China Health and Nutrition Survey (CHNS, 2009) and China Health and Retirement Longitudinal Study (CHARLS, 2011-2012). To evaluate the sex differences in the association between BMI and LDL-C, the generalized additive models with a smooth function for continuous BMI and smooth-factor interaction for sexes with BMI were used. Segmented regressions were fitted to calculate the slopes with different estimated breakpoints among females and males. RESULTS: A total of 12,273 participants (47.1% male) aged 45 to 75 years were included. The generalized additive models revealed that a non-linear relationship between BMI and LDL-C level in both sexes after adjustment for age, residence, education levels, marital status, drinking, smoking status, and cohort (CHNS or CHARLS). Slopes of the association between BMI and LDL-C association changed at BMI 20.3 kg/m2 (95% CI: 18.8 to 21.8) in females and 27.1 kg/m2 (95% CI: 25. 8 to 28.4) in males. Below these BMI breakpoints, LDL-C levels increased 1.84 (95% CI: 1.45 to 2.31) in males and 3.49 (95% CI: 1.54 to 5.45) mg/dL per kg/m2 in females. However, LDL-C levels declined - 1.50 (95% CI: - 2.92 to - 0.09) mg/dL per kg/m2 above BMI of 27.1 kg/m2 in males. The non-linear association BMI and LDL-C in males and females was varied by cohort source, age groups, and the number of metabolic syndrome criteria. CONCLUSIONS: In the Chinese middle aged and older adults, the BMI and LDL-C relationship was inverted U-shaped with a high level of LDL-C at a BMI of 27.1 kg/m2 in males, and an approximately linear association was observed in females.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Body Mass Index / Cholesterol, LDL Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Lipids Health Dis Journal subject: BIOQUIMICA / METABOLISMO Year: 2021 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Body Mass Index / Cholesterol, LDL Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Lipids Health Dis Journal subject: BIOQUIMICA / METABOLISMO Year: 2021 Type: Article Affiliation country: China