Literature DB >> 28871501

Body mass index is an independent predictive factor for kidney function evaluated by glomerular filtration rate in a community-dwelling population.

Yuanyuan Duan1, Xiaona Wang1, Jiao Zhang2, Ping Ye3, Ruihua Cao1, Xu Yang1, Yongyi Bai1, Hongmei Wu1.   

Abstract

BACKGROUND: The 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.
METHODS: To 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.
RESULTS: In 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).
CONCLUSIONS: The 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.

Entities:  

Keywords:  Body mass index; Elderly; Glomerular filtration rate; Kidney function

Mesh:

Year:  2017        PMID: 28871501     DOI: 10.1007/s40519-017-0434-5

Source DB:  PubMed          Journal:  Eat Weight Disord        ISSN: 1124-4909            Impact factor:   4.652


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