Association between Three Waist Circumference-Related Obesity Metrics and Estimated Glomerular Filtration Rates
- PMID: 35629005
- PMCID: PMC9147861
- DOI: 10.3390/jcm11102876
Association between Three Waist Circumference-Related Obesity Metrics and Estimated Glomerular Filtration Rates
Abstract
Studies that have assessed the associations between obesity and the estimated glomerular filtration rate (eGFR) have reported inconsistent results. This cross-sectional study was performed to investigate the associations between three waist circumference (WC)-related obesity metrics (waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and waist-to-height0.5 ratio (WHt.5R)) and eGFRs. This study included 2133 men and 3443 women who were older than 40 years with eGFRs ≥ 60 mL/min/1.73 m² from the Korean Multi-Rural Communities Cohort. We calculated the residual body mass index (BMI) to reduce multicollinearity among the obesity metrics and performed multiple linear regression. For both sexes, among the adjusted models, most of the general obesity metrics were significantly associated with eGFRs. Particularly for women, the WC-related and general obesity metrics had a stronger effect on eGFRs in the quartile models that included the BMI and the residual BMI, respectively. When WC-related obesity metrics had a stronger effect than the general obesity metric, for both sexes, WHtR showed a significant impact than WHt.5R and WHR on eGFRs. Reducing multicollinearity had an important role in assessing the obesity metrics' association with eGFRs. Overall, applying the residual method in further studies might help with evaluating the obesity paradox on renal function.
Keywords: body mass index; chronic kidney disease; estimated glomerular filtration rate; obesity; the residual method; waist circumference; waist-to-height ratio; waist-to-height0.5 ratio; waist-to-hip ratio.
Conflict of interest statement
The authors declare no conflict of interest associated with the material presented in this study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
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- Obesity and Overweight. [(accessed on 16 February 2022)]. Available online: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
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