Abstract
Background
Obesity is a risk factor for chronic kidney disease. Although body mass index (BMI) or waist circumference is indicators of obesity, actual measurements of visceral fat area (VFA) more accurately reflect the amount of visceral fat. We aimed to determine the most sensitive obesity indicator for predicting renal impairment among VFA, BMI, waist circumference, waist-to-height ratio, and visceral-to-subcutaneous fat ratio (VSR).
Methods
Subjects who underwent VFA measurements during health checkups in 2012 were included. Obesity was defined using a separate baseline value for each indicator [VFA (100 cm2), BMI (25 kg/m2), waist circumference (85 cm for men and 90 cm for women), waist-to-height ratio (0.5), VSR (0.4)]. Changes in estimated glomerular filtration rate (eGFRcr) and time to new-onset proteinuria were measured. The relationships between obesity indicators and eGFRcr were evaluated using a linear mixed-effects model. The relationships between obesity indicators and new-onset proteinuria were evaluated using Poisson regression analysis.
Results
Analysis was performed on 2753 subjects (mean age 50.3 years). The VFA ≥ 100 cm2 group exhibited a larger annual difference in eGFRcr compared to the < 100 cm2 group (− 0.24 mL/min/1.73 m2, P = 0.03). There was a statistically significant difference in the proteinuria incidence rate ratio, which was 1.54 times (95% confidence interval 1.01–2.35) in the VFA ≥ 100 cm2 group. Statistically significant correlations were not observed with any of the other obesity indicators.
Conclusion
VFA is suggested to be the most sensitive obesity indicator for decline in kidney function and new-onset proteinuria.
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References
Afshin A, Forouzanfar MH, Reitsma MB, et al. Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med. 2017;377:13–27.
Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health. 2009;9:88.
Neuen BL, Chadban SJ, Demaio AR, Johnson DW, Perkovic V. Chronic kidney disease and the global NCDs agenda. BMJ Glob Health. 2017;2:e000380.
Garofalo C, Borrelli S, Minutolo R, Chiodini P, De Nicola L, Conte G. A systematic review and meta-analysis suggests obesity predicts onset of chronic kidney disease in the general population. Kidney Int. 2017;91:1224–35.
Thomas G, Sehgal AR, Kashyap SR, Srinivas TR, Kirwan JP, Navaneethan SD. Metabolic syndrome and kidney disease: a systematic review and meta-analysis. Clin J Am Soc Nephrol. 2011;6:2364–73.
Chang AR, Grams ME, Ballew SH, et al. Adiposity and risk of decline in glomerular filtration rate: meta-analysis of individual participant data in a global consortium. BMJ. 2019;364:k5301.
Adab P, Pallan M, Whincup PH. Is BMI the best measure of obesity? BMJ. 2018;360:k1274.
Okorodudu DO, Jumean MF, Montori VM, et al. Diagnostic performance of body mass index to identify obesity as defined by body adiposity: a systematic review and meta-analysis. Int J Obes (Lond). 2010;34:791–9.
Nakao YM, Miyawaki T, Yasuno S, et al. Intra-abdominal fat area is a predictor for new onset of individual components of metabolic syndrome: MEtabolic syndRome and abdominaL ObesiTy (MERLOT study). Proc Jpn Acad Ser B Phys Biol Sci. 2012;88:454–61.
Tatsumi Y, Nakao YM, Masuda I, et al. Risk for metabolic diseases in normal weight individuals with visceral fat accumulation: a cross-sectional study in Japan. BMJ Open. 2017;7:e013831.
Committee on Diagnostic Criteria for Metabolic Syndrome. Definition and diagnostic criteria of metabolic syndrome. J Jpn Soc Intern Med. 2005;94:794–809.
Miyawaki T, Hirata M, Moriyama K, Sasaki Y, Aono H, Saito N, Nakao K. Metabolic syndrome in Japanese diagnosed with visceral fat measurement by computed tomography. Proc Jpn Acad. 2005;81:471–9.
Shiga T, Hamaguchi T, Oshima Y, et al. A new simple measurement system of visceral fat accumulation by bioelectrical impedance analysis. IFMBE Proc. 2009;24:146–50.
Kang SH, Cho KH, Park JW, Yoon KW, Do JY. Association of visceral fat area with chronic kidney disease and metabolic syndrome risk in the general population: analysis using multi-frequency bioimpedance. Kidney Blood Press Res. 2015;40:223–30.
Hanai K, Babazono T, Nyumura I, et al. Involvement of visceral fat in the pathogenesis of albuminuria in patients with type 2 diabetes with early stage of nephropathy. Clin Exp Nephrol. 2010;14:132–6.
Madero M, Katz R, Murphy R, et al. Comparison between different measures of body fat with kidney function decline and incident CKD. Clin J Am Soc Nephrol. 2017;12:893–903.
Yasuno S. Examination of associations between obesity indicators and lifestyle diseases using health checkup data. Ministry of Education, Culture, Sports, Science, and Technology: scientific research funding (basic research (C)). https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-25460749/.
Matsuo S, Imai E, Horio M, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53:982–92.
Examination Committee of Criteria for ‘Obesity Disease’ in Japan. Japan Society for the study of obesity. New criteria for ‘obesity disease’ in Japan. Circ J. 2002;66:987–92.
Fujioka S, Matsuzawa Y, Tokunaga K, Tarui S. Contribution of intra-abdominal fat accumulation to the impairment of glucose and lipid metabolism in human obesity. Metabolism. 1987;36:54–9.
Browning LM, Hsieh SD, Ashwell M. A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0 5 could be a suitable global boundary value. Nutr Res Rev. 2010;23:247–69.
Kashihara H, Lee JS, Kawakubo K, Tamura M, Akabayashi A. Criteria of waist circumference according to computed tomography-measured visceral fat area and the clustering of cardiovascular risk factors. Circ J. 2009;73:1881–6.
Hiuge-Shimizu A, Kishida K, Funahashi T, et al. Absolute value of visceral fat area measured on computed tomography scans and obesity-related cardiovascular risk factors in large-scale Japanese general population (the VACATION-J study). Ann Med. 2012;44:82–92.
D’Agati VD, Chagnac A, de Vries AP, et al. Obesity-related glomerulopathy: clinical and pathologic characteristics and pathogenesis. Nat Rev Nephrol. 2016;12:453–71.
Imai E, Horio M, Yamagata K, et al. Slower decline of glomerular filtration rate in the Japanese general population: a longitudinal 10-year follow-up study. Hypertens Res. 2008;31:433–41.
Kim JK, Kwon YJ, Song YR, et al. Four-year changes in visceral fat mass and the risk of developing proteinuria in the general population. PLoS ONE. 2015;10:e0131119.
Park KS, Lee DH, Lee J, et al. Comparison between two methods of bioelectrical impedance analyses for accuracy in measuring abdominal visceral fat area. J Diabetes Complic. 2016;30:343–9.
Chronic Kidney Disease Prognosis Consortium. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet. 2010;375:2073–81.
Tonelli M, Klarenbach SW, Lloyd AM, et al. Higher estimated glomerular filtration rates may be associated with increased risk of adverse outcomes, especially with concomitant proteinuria. Kidney Int. 2011;80:1306–14.
Kuma A, Uchino B, Ochiai Y, et al. Relationship between abdominal adiposity and incident chronic kidney disease in young- to middle-aged working men: a retrospective cohort study. Clin Exp Nephrol. 2019;23:76–84.
Taal MW, Brenner BM. Predicting initiation and progression of chronic kidney disease: developing renal risk scores. Kidney Int. 2006;70:1694–705.
Ida M, Hirata M, Odori S, et al. Early changes of abdominal adiposity detected with weekly dual bioelectrical impedance analysis during calorie restriction. Obesity. 2013;21:E350–3.
Streja E, Goldstein L, Soohoo M, et al. Modeling longitudinal data and its impact on survival in observational nephrology studies: tools and considerations. Nephrol Dial Transplant. 2017;32:ii77–83.
Shou H, Hsu JY, Xie D, et al. Analytic considerations for repeated measures of eGFR in cohort studies of CKD. Clin J Am Soc Nephrol. 2017;12:1357–65.
Konta T, Hao Z, Takasaki S, et al. Clinical utility of trace proteinuria for microalbuminuria screening in the general population. Clin Exp Nephrol. 2007;11:51–5.
Nagai K, Yamagata K. Quantitative evaluation of proteinuria for health checkups is more efficient than the dipstick method. Clin Exp Nephrol. 2015;19:152–3.
Viazzi F, Leoncini G, Conti N, et al. Microalbuminuria is a predictor of chronic renal insufficiency in patients without diabetes and with hypertension: the MAGIC study. Clin J Am Soc Nephrol. 2010;5:1099–106.
Acknowledgements
This study was funded by the Leading Initiative for Excellent Young Researchers of the University of Tokyo. All authors were responsible for the study concept and design. Yoshikazu Miyasato and KO carried out the statistical analysis and drafted the manuscript. All authors contributed to the interpretation of data and the critical revision of the manuscript. All authors approved the final version of the manuscript.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee at which the studies were conducted (IRB approval number: the Takeda Hospital Group (Approval no. 1807), the University of Tokyo Graduate School of Medicine and Faculty of Medicine (Screening no. 2018063NI)), and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This was a retrospective study involving human data that were previously collected and did not require the additional recruitment of human subjects; thus, the need for informed consent was waived via the opt-out method on the hospital’s information.
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Miyasato, Y., Oba, K., Yasuno, S. et al. Associations between visceral obesity and renal impairment in health checkup participants: a retrospective cohort study. Clin Exp Nephrol 24, 935–945 (2020). https://doi.org/10.1007/s10157-020-01921-9
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DOI: https://doi.org/10.1007/s10157-020-01921-9