Clinical Epidemiology (Feb 2023)

Loss of Anthropometry-Lipids Relationship in Obese Adults: A Cross-Sectional Study in Southern China

  • Huang W,
  • Feng R,
  • Xu X,
  • Ma M,
  • Chen J,
  • Wang J,
  • Hu Z,
  • Du S,
  • Ye W

Journal volume & issue
Vol. Volume 15
pp. 191 – 201

Abstract

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Wuqing Huang,1,* Ruimei Feng,1,* Xin Xu,1,* Mingyang Ma,1 Jun Chen,1 Junzhuo Wang,1 Zhijian Hu,1,2 Shanshan Du,1 Weimin Ye1– 3 1Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, People’s Republic of China; 2Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, People’s Republic of China; 3Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden*These authors contributed equally to this workCorrespondence: Weimin Ye; Shanshan Du, Fujian Medical University, No. 1, Xue Yuan Road, University Town, Fuzhou City, Fujian Province, 350108, People’s Republic of China, Tel +86 591 2286 2023, Fax +86 591 2286 2510, Email [email protected]; [email protected]: Emerging data suggest that the interpretation of the association between obesity and lipids appears to be oversimplified. This study aimed to quantify the complex relationships between anthropometric indices and lipid profile.Methods: This is a cross-sectional study including 9620 participants in Southern China. Anthropometric indices included the indices of general obesity (ie, body mass index (BMI)) and central obesity (ie, waist circumference (WC) and waist-to-hip ratio (WHR)). Lipids included low-density lipoprotein cholesterol (LDLc) and atherogenic lipids (ie, high-density lipoprotein cholesterol (HDLc), triglycerides (TG) and TG/HDLc ratio). LOESS regression and general linear model were the main statistical methods.Results: Almost all associations between anthropometric indices and lipids were lost in obese adults. The loss of association occurred quicker with LDLc than that with atherogenic lipids; the break point for the association loss was at BMI of 24 kg/m2 with LDLc (Slope Below break-point = 1.81, P< 0.001; Slope Above break-point = 0.29, P=0.121), while at 28 kg/m2 with HDLC (Slope Below break-point = − 1.41, P< 0.001; Slope Above break-point = 0.07, P=0.666) or TG (Slope Below break-point = 4.96, P< 0.001; Slope Above break-point = 2.93, P=0.01), and at 30 kg/m2 with TG/HDLc ratio (Slope Below break-point = 0.15, P< 0.001; Slope Above break-point= 0.01, P=0.936), respectively. Similar relationships were found for WC and WHR. Besides, the presence of other metabolic disorders contributed to the loss of anthropometry-lipids relationships, for example, the BMI-LDLc association attenuated to null in both obese adults and non-obese population but with more than one other metabolic disorders.Conclusion: The relationships were lost between anthropometric indices and lipids in obese adults with different break points across different lipids, which appeared to be dependent on metabolic status.Keywords: anthropometry, lipid profile, epidemiology

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