Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Body composition, energy expenditure and physical activity

Body mass index and annual estimated GFR decline in Chinese adults with normal renal function

Abstract

Background/Objectives:

The objective of this study was to examine the association between body mass index (BMI) and the annual estimated glomerular filtration rate (eGFR) decline in a rural lean Chinese cohort.

Subjects/Methods:

A total of 2696 subjects with an eGFR 60 ml/min per 1.73 m2 were followed up for 7 years. Our primary outcome was annual eGFR decline, calculated as (eGFR at baseline−eGFR at revisit)/years of follow-up.

Results:

During the 7-year follow-up, the mean (s.d.) of annual eGFR decline was 1.7 (1.9) ml/min per 1.73 m2 per year. Compared with subjects with normal weight (BMI 19–22.9 kg/m2), overweight subjects (BMI 23–26.9 kg/m2) had a more rapid annual eGFR decline (β, 0.33; 95% confidence interval (0.18–0.47) ml/min per 1.73 m2 per year), whereas no significant difference was found when comparing the underweight (<19 kg/m2) and the obese (27 kg/m2) groups with the normal-weight group. Moreover, in the 19- to 26.9-kg/m2 range, BMI was positively linearly associated with annual eGFR decline (β2, 0.09 (0.05 to 0.12) ml/min per 1.73 m2 per year, P<0.001), whereas in the <19 (β1, −0.21(−0.45–0.02), P=0.073; β2 versus β1: P=0.009) and 27 kg/m2 (β3, −0.24 (−0.48–0.00), P=0.053; β3 versus β2: P=0.010) range a negative but statistically insignificant trend of association was detected.

Conclusions:

Our results suggested a nonlinear S-shaped association between BMI and annual eGFR decline among Chinese adults with normal renal function.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2

Similar content being viewed by others

References

  1. Hou FF . Cardiovascular risk in Chinese patients with chronic kidney diseases: where do we stand? Chin Med J (Engl) 2005; 118: 883–886.

    Google Scholar 

  2. Zhang L, Wang F, Wang L, Wang W, Liu B, Liu J et al. Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet 2012; 379: 815–822.

    Article  Google Scholar 

  3. Henry RM, Kostense PJ, Bos G, Dekker JM, Nijpels G, Heine RJ et al. Mild renal insufficiency is associated with increased cardiovascular mortality: The Hoorn Study. Kidney Int 2002; 62: 1402–1407.

    Article  Google Scholar 

  4. Fried LF, Shlipak MG, Crump C, Bleyer AJ, Gottdiener JS, Kronmal RA et al. Renal insufficiency as a predictor of cardiovascular outcomes and mortality in elderly individuals. J Am Coll Cardiol 2003; 41: 1364–1372.

    Article  Google Scholar 

  5. Gelber RP, Kurth T, Kausz AT, Manson JE, Buring JE, Levey AS et al. Association between body mass index and CKD in apparently healthy men. Am J Kidney Dis 2005; 46: 871–880.

    Article  Google Scholar 

  6. Grubbs V, Lin F, Vittinghoff E, Shlipak MG, Peralta CA, Bansal N et al. Body mass index and early kidney decline in young adults: a longitudinal analysis of the CARDIA (Coronary Artery Risk Development in Young Adults) Study. Am J Kidney Dis 2014; 63: 590–597.

    Article  Google Scholar 

  7. Oh H, Quan SA, Jeong JY, Jang SN, Lee JE, Kim DH . Waist circumference, not body mass index, is associated with renal function decline in Korean population: Hallym Aging Study. PLoS One 2013; 8: e59071.

    Article  CAS  Google Scholar 

  8. Luk AO, So WY, Ma RC, Kong AP, Ozaki R, Ng VS et al. Metabolic syndrome predicts new onset of chronic kidney disease in 5,829 patients with type 2 diabetes: a 5-year prospective analysis of the Hong Kong Diabetes Registry. Diabetes Care 2008; 31: 2357–2361.

    Article  Google Scholar 

  9. Wang Y, Chen X, Song Y, Caballero B, Cheskin LJ . Association between obesity and kidney disease: a systemic review and meta-analysis. Kidney Int 2008; 73: 19–33.

    Article  CAS  Google Scholar 

  10. Feng Y, Hong X, Li Z, Zhang W, Jin D, Liu X et al. Prevalence of metabolic syndrome and its relation to body composition in a Chinese rural population. Obesity (Silver Spring) 2006; 14: 2089–2098.

    Article  Google Scholar 

  11. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro III AF, Feldman HI et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150: 604–612.

    Article  Google Scholar 

  12. Cheng HT, Huang JW, Chiang CK, Yen CJ, Hung KY, Wu KD . Metabolic syndrome and insulin resistance as risk factors for development of chronic kidney disease and rapid decline in renal function in elderly. J Clin Endocrinol Metab 2012; 97: 1268–1276.

    Article  CAS  Google Scholar 

  13. Klein R, Klein BE, Moss SE, Cruickshanks KJ, Brazy PC . The 10-year incidence of renal insufficiency in people with type 1 diabetes. Diabetes Care 1999; 22: 743–751.

    Article  CAS  Google Scholar 

  14. Fried L, Solomon C, Shlipak M, Seliger S, Stehman-Breen C, Bleyer AJ et al. Inflammatory and prothrombotic markers and the progression of renal disease in elderly individuals. J Am Soc Nephrol 2004; 15: 3184–3191.

    Article  Google Scholar 

  15. KDIGO K . Clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 2012; 2013: 3.

    Google Scholar 

  16. Consultation WHOE. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004; 363: 157–163.

    Article  Google Scholar 

  17. Wood SN . Generalized Additive Models: an Introduction with R. Chapman and Hall/CRC Press: Boca Raton, FL, USA, 2006, pp 119–273.

    Book  Google Scholar 

  18. Wang F, Zhang L, Zuo L, Liu L, Wang H . Mortality and renal function decline among a community-based Chinese population with normal or mildly impaired renal function. Nephrol Dial Transplant 2011; 26: 2847–2852.

    Article  Google Scholar 

  19. Wahba IM, Mak RH . Obesity and obesity-initiated metabolic syndrome: mechanistic links to chronic kidney disease. Clin J Am Soc Nephrol 2007; 2: 550–562.

    Article  CAS  Google Scholar 

  20. Hall JE, Henegar JR, Dwyer TM, Liu J, Da Silva AA, Kuo JJ et al. Is obesity a major cause of chronic kidney disease? Adv Ren Replace Ther 2004; 11: 41–54.

    Article  Google Scholar 

  21. Henegar JR, Bigler SA, Henegar LK, Tyagi SC, Hall JE . Functional and structural changes in the kidney in the early stages of obesity. J Am Soc Nephrol 2001; 12: 1211–1217.

    CAS  PubMed  Google Scholar 

  22. Elsayed EF, Sarnak MJ, Tighiouart H, Griffith JL, Kurth T, Salem DN et al. Waist-to-hip ratio, body mass index, and subsequent kidney disease and death. Am J Kidney Dis 2008; 52: 29–38.

    Article  Google Scholar 

  23. Kao YM, Chen JD . Inverse association between body mass index and chronic kidney disease in older diabetic adults. Ann Epidemiol 2013; 23: 255–259.

    Article  Google Scholar 

  24. Weber MA, Jamerson K, Bakris GL, Weir MR, Zappe D, Zhang Y et al. Effects of body size and hypertension treatments on cardiovascular event rates: subanalysis of the ACCOMPLISH randomised controlled trial. Lancet 2013; 381: 537–545.

    Article  Google Scholar 

  25. Beddhu S, Pappas LM, Ramkumar N, Samore M . Effects of body size and body composition on survival in hemodialysis patients. J Am Soc Nephrol 2003; 14: 2366–2372.

    Article  Google Scholar 

  26. Gu D, Reynolds K, Wu X, Chen J, Duan X, Reynolds RF et al. Prevalence of the metabolic syndrome and overweight among adults in China. Lancet 2005; 365: 1398–1405.

    Article  Google Scholar 

  27. He M, Tan KC, Li ET, Kung AW . Body fat determination by dual energy X-ray absorptiometry and its relation to body mass index and waist circumference in Hong Kong Chinese. Int J Obes Relat Metab Disord 2001; 25: 748–752.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work was supported by the Major State Basic Research Development Program of China (973 program) (No. 2012CB517703), the Public Welfare and Health Sector Research Project (201002010) and Major Scientific and Technological Planning Project of Guangzhou City (2010U1-E00821) to Dr Fanfan Hou, and the National Nature and Science Grant (No. 81202280) to Dr Di Xie.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to X Xu.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Additional information

Supplementary Information accompanies this paper on European Journal of Clinical Nutrition website

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Qin, X., Xie, D. et al. Body mass index and annual estimated GFR decline in Chinese adults with normal renal function. Eur J Clin Nutr 69, 922–926 (2015). https://doi.org/10.1038/ejcn.2014.221

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ejcn.2014.221

This article is cited by

Search

Quick links