ArticleEating and weight disorders : EWD2019
Body mass index is an independent predictive factor for kidney function evaluated by glomerular filtration rate in a community-dwelling population.
Article in Eating and weight disorders : EWD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 8 citations in OpenAlex.
- Perinephric fat volume and its negative correlation with the eGFR according to a population health screening: a cross-sectional study.Renal failure · 2025Article
- Association between changes of frailty status/frailty components status and rapid loss of kidney function in middle- aged and older populations.BMC nephrology · 2024Article
- The Relationship between Perirenal Fat Thickness and Reduced Glomerular Filtration Rate in Patients with Type 2 Diabetes.Journal of diabetes research · 2020Article
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8 authors at 2 institutions in 1 country.
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Abstract
backgroundThe effects of overweight and obesity on kidney function have since been identified and become a subject of increased study and concern. But the association between body mass index (BMI) and estimated glomerular filtration rate (eGFR) is not well characterized. The aim of this study was to determine the relationship between BMI and eGFR.
methodsTo better understand the relationship between BMI and kidney function, we investigated the association between BMI and eGFR using both the baseline BMI level and the follow-up eGFR level and investigated the relationship between the change in BMI and the change in eGFR in 1447 patients from a 4.8-year prospective study in Beijing, People's Republic of China.
resultsIn multiple linear regression analysis, age, antihypertensive treatment, and BMI were negatively associated with the follow-up eGFR levels in all participants (R = -0.622, -0.926, and -0.266, respectively; P < 0.05), or in the elderly (R = -0.883, -1.035, and -0.630, respectively; P < 0.05); sex was found to be associated with the follow-up eGFR levels independently not only in all participants (R = 6.783; P < 0.001), but also in the elderly (R = 3.518; P < 0.05). In addition, the change in eGFR levels was positively related to age, the change in LDL-C, the change in TC, and the change in SBP, but negatively related to the change in BMI and the change in HDL-C (all P < 0.05).
conclusionsThe present study clearly indicated that BMI is an independent predictive factor for kidney function evaluated by the eGFR level during a median 4.8 years of follow-up in Chinese population. LEVEL OF EVIDENCE: Level III, prospective cohort study.
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