ArticleClinical epidemiology2023
Loss of Anthropometry-Lipids Relationship in Obese Adults: A Cross-Sectional Study in Southern China.
Article in Clinical epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- The nomenclature of fatty liver disease and its impact on obesity traits, insulin resistance, and hepatic fibrosis.Lipids in health and disease · 2025Article
- Reproducibility and relative validity of a quantitative food frequency questionnaire developed for adults in the coastal area of southeast China.European journal of nutrition · 2025Article
- The Mediation Role of Insulin Resistance and Chronic Systemic Inflammation in the Association Between Obesity and NAFLD: Two Cross-Sectional and a Mendelian Randomization Study.Clinical epidemiology · 2025Article
- Prevalence of thyroid nodules and canceration risk assessment in TIRADS, and their relationships to obesity and dysglycemia.Frontiers in oncology · 2025Article
- Sources of variation in the serum metabolome of female participants of the HUNT2 study.Communications biology · 2024Article
- The ratio of systolic and diastolic pressure is associated with carotid and femoral atherosclerosis.Frontiers in cardiovascular medicine · 2024Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: 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/m 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.
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