{"title":"Fat mass gain predicts estimated GFR decline in a relatively healthy Korean population.","authors":"Young Youl Hyun, Hyang Kim, Kyu Beck Lee","doi":"10.1159/000360363","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Previous studies have shown that obesity is a risk factor for estimated glomerular filtration rate (eGFR) decline and chronic kidney disease (CKD). However, the relationship between fat mass directly measured by bioimpedance analysis and eGFR is not well known.</p><p><strong>Methods: </strong>We analyzed 21,859 participants without CKD at baseline who underwent two health checkups at a 5-year interval during 2002-2009. Fat mass was measured by Inbody 3.0 (Biospace, Seoul, Korea). eGFR decline was defined as eGFR <60 ml/min/1.73 m(2) at second checkup. Logistic regression analysis was used to analyze factors related to eGFR decline.</p><p><strong>Results: </strong>Participants were divided into tertiles according to their fat mass change over 5 years: lower tertile (n = 7,042; <-0.7 kg), middle tertile (n = 7,478; -0.7 to 1.2 kg) and higher tertile (n = 7,339; >1.2 kg). After 5 years, 246 cases of eGFR decline were observed. Multivariate logistic analysis revealed that age (OR 1.03, 95% CI 1.02-1.05, p < 0.001), diabetes mellitus (OR 2.04, 95% CI 1.22-3.40, p = 0.007), baseline eGFR (OR 0.80, 95% CI 0.78-0.83, p < 0.001) and higher tertile of fat mass change (OR 1.58, 95% CI 1.16-2.13, p = 0.003) were associated with eGFR decline after adjustment for sex, hypertension, dyslipidemia, cardiovascular disease, smoking status, body mass index, and high-density lipoprotein cholesterol level.</p><p><strong>Conclusions: </strong>Fat mass gain over 5 years was independently associated with eGFR decline to <60 ml/min/1.73 m(2) in a relatively healthy Korean population. This finding suggests that lifestyle changes to prevent fat mass gain could be protective against the development of CKD.</p>","PeriodicalId":19094,"journal":{"name":"Nephron Clinical Practice","volume":"126 1","pages":"90-6"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1159/000360363","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nephron Clinical Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1159/000360363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2014/3/12 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Background: Previous studies have shown that obesity is a risk factor for estimated glomerular filtration rate (eGFR) decline and chronic kidney disease (CKD). However, the relationship between fat mass directly measured by bioimpedance analysis and eGFR is not well known.
Methods: We analyzed 21,859 participants without CKD at baseline who underwent two health checkups at a 5-year interval during 2002-2009. Fat mass was measured by Inbody 3.0 (Biospace, Seoul, Korea). eGFR decline was defined as eGFR <60 ml/min/1.73 m(2) at second checkup. Logistic regression analysis was used to analyze factors related to eGFR decline.
Results: Participants were divided into tertiles according to their fat mass change over 5 years: lower tertile (n = 7,042; <-0.7 kg), middle tertile (n = 7,478; -0.7 to 1.2 kg) and higher tertile (n = 7,339; >1.2 kg). After 5 years, 246 cases of eGFR decline were observed. Multivariate logistic analysis revealed that age (OR 1.03, 95% CI 1.02-1.05, p < 0.001), diabetes mellitus (OR 2.04, 95% CI 1.22-3.40, p = 0.007), baseline eGFR (OR 0.80, 95% CI 0.78-0.83, p < 0.001) and higher tertile of fat mass change (OR 1.58, 95% CI 1.16-2.13, p = 0.003) were associated with eGFR decline after adjustment for sex, hypertension, dyslipidemia, cardiovascular disease, smoking status, body mass index, and high-density lipoprotein cholesterol level.
Conclusions: Fat mass gain over 5 years was independently associated with eGFR decline to <60 ml/min/1.73 m(2) in a relatively healthy Korean population. This finding suggests that lifestyle changes to prevent fat mass gain could be protective against the development of CKD.
背景:以往的研究表明,肥胖是肾小球滤过率(eGFR)下降和慢性肾脏疾病(CKD)的危险因素。然而,通过生物阻抗分析直接测量的脂肪质量与eGFR之间的关系尚不清楚。方法:我们分析了21,859名基线时无CKD的参与者,他们在2002-2009年期间每5年进行两次健康检查。采用Inbody 3.0软件(Biospace, Seoul, Korea)测量脂肪量。eGFR下降被定义为eGFR结果:参与者根据他们在5年内的脂肪量变化分为三分之一:低四分之一(n = 7,042;1.2公斤)。5年后,246例eGFR下降。多因素logistic分析显示,年龄(OR 1.03, 95% CI 1.02-1.05, p < 0.001)、糖尿病(OR 2.04, 95% CI 1.22-3.40, p = 0.007)、基线eGFR (OR 0.80, 95% CI 0.78-0.83, p < 0.001)和脂肪量变化的高分位数(OR 1.58, 95% CI 1.16-2.13, p = 0.003)与性别、高血压、血脂异常、心血管疾病、吸烟状况、体重指数和高密度脂蛋白胆固醇水平校正后的eGFR下降有关。结论:5年以上的脂肪量增加与eGFR下降独立相关