全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
PLOS ONE  2014 

Waist to Height Ratio Is an Independent Predictor for the Incidence of Chronic Kidney Disease

DOI: 10.1371/journal.pone.0088873

Full-Text   Cite this paper   Add to My Lib

Abstract:

Objective Obesity is a risk factor for chronic kidney disease (CKD) and cardiovascular disease. The association between waist to height ratio (WheiR) and CKD is unclear. This study evaluated the association between WheiR and CKD. Design and Methods In this longitudinal cohort study, 4841 Japanese workers (3686 males, 1155 females) 18 to 67 years of age in 2008 were followed up until 2011. CKD was defined as an estimated glomerular filtration rate of <60 mL/min/1.73 m2 (by the Modification of Diet in Renal Disease equation for Japanese) or dipstick proteinuria (≥1+). Cox proportional hazards models were used to examine the relationship between WheiR and development of CKD. Results A total of 384 (7.9%) participants (300 men and 84 women) were found to have new CKD. The incidence of CKD was 13.7, 24.2, 37.9 and 43.7 per 1000 person-years of follow-up in the lowest, second, third and highest quartiles of WheiR, respectively. After adjustment for potential confounders, the adjusted hazard ratios (95% confidence interval) for CKD were 1.00 (reference), 1.23 (0.85, 1.78), 1.59 (1.11, 2.26) and 1.62 (1.13, 2.32) through the quartiles of WheiR, respectively. WheiR had a significant predictive value for the incidence of both proteinuria and low estimated glomerular filtration rate. After subdivision according to gender, the relationship between WheiR and the incidence of CKD was statistically significant in the unadjusted model. However, after adjusting for potential confounders, WheiR was significantly associated with the incidence of CKD in females, whereas it was not significant in males. Conclusions WheiR, which is commonly used as an index of central obesity, is associated with CKD. There was a significant gender difference in the relationship between CKD and WheiR.

References

[1]  Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351: 1296–1305. doi: 10.1056/nejmoa041031
[2]  Hallan SI, Dahl K, Oien CM, Grootendorst DC, Aasberg A, et al. (2006) Screening strategies for chronic kidney disease in the general population: follow-up of cross sectional health survey. BMJ 333: 1047. doi: 10.1136/bmj.39001.657755.be
[3]  Hooi LS, Ong LM, Ahmad G, Bavanandan S, Ahmad NA, et al. (2013) A population-based study measuring the prevalence of chronic kidney disease among adults in West Malaysia. Kidney Int 84: 1034–1040. doi: 10.1038/ki.2013.220
[4]  Kearns B, Gallagher H, de Lusignan S (2013) Predicting the prevalence of chronic kidney disease in the English population: a cross-sectional study. BMC Nephrol 14: 49–59. doi: 10.1186/1471-2369-14-49
[5]  Zhang L, Wang F, Wang L, Wang W, Liu B, et al. (2012) Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet 379: 815–822. doi: 10.1016/s0140-6736(12)60033-6
[6]  Imai E, Horio M, Watanabe T, Iseki K, Yamagata K, et al. (2009) Prevalence of chronic kidney disease in the Japanese general population. Clin Exp Nephrol 13: 621–630. doi: 10.1007/s10157-009-0199-x
[7]  Coresh J, Selvin E, Stevens LA, Manzi J, Kusek JW, et al. (2007) Prevalence of chronic kidney disease in the United States. JAMA 298: 2038–2047. doi: 10.1001/jama.298.17.2038
[8]  Nagata M, Ninomiya T, Doi Y, Yonemoto K, Kubo M, et al. (2010) Trends in the prevalence of chronic kidney disease and its risk factors in a general Japanese population: the Hisayama Study. Nephrol Dial Transplant 25: 2557–2564. doi: 10.1093/ndt/gfq062
[9]  Grams ME, Juraschek SP, Selvin E, Foster MC, Inker LA, et al. (2013) Trends in the Prevalence of Reduced GFR in the United States: A Comparison of Creatinine- and Cystatin C-Based Estimates. Am J Kidney Dis. 62: 253–260. doi: 10.1053/j.ajkd.2013.03.013
[10]  Brosius FC 3rd, Hostetter TH, Kelepouris E, Mitsnefes MM, Moe SM, et al. (2006) Detection of chronic kidney disease in patients with or at increased risk of cardiovascular disease: a science advisory from the American Heart Association Kidney And Cardiovascular Disease Council; the Councils on High Blood Pressure Research, Cardiovascular Disease in the Young, and Epidemiology and Prevention; and the Quality of Care and Outcomes Research Interdisciplinary Working Group: developed in collaboration with the National Kidney Foundation. Circulation 114: 1083–1087. doi: 10.1161/circulationaha.106.177321
[11]  Heerspink HL, de Zeeuw D (2013) Novel drugs and intervention strategies for the treatment of chronic kidney disease. Br J Clin Pharmacol 76: 536–550. doi: 10.1111/bcp.12195
[12]  Govindarajan G, Whaley-Connell A, Mugo M, Stump C, Sowers JR (2005) The cardiometabolic syndrome as a cardiovascular risk factor. Am J Med Sci 330: 311–318. doi: 10.1097/00000441-200512000-00009
[13]  Kuk JL, Katzmarzyk PT, Nichaman MZ, Church TS, Blair SN, et al. (2006) Visceral fat is an independent predictor of all-cause mortality in men. Obesity (Silver Spring) 14: 336–341. doi: 10.1038/oby.2006.43
[14]  Manolopoulos KN, Karpe F, Frayn KN (2010) Gluteofemoral body fat as a determinant of metabolic health. Int J Obes (Lond) 34: 949–959. doi: 10.1038/ijo.2009.286
[15]  Liu J, Fox CS, Hickson D, Bidulescu A, Carr JJ, et al. (2011) Fatty liver, abdominal visceral fat, and cardiometabolic risk factors: the Jackson Heart Study. Arterioscler Thromb Vasc Biol 31: 2715–2722. doi: 10.1161/atvbaha.111.234062
[16]  Katzmarzyk PT, Heymsfield SB, Bouchard C (2013) Clinical utility of visceral adipose tissue for the identification of cardiometabolic risk in white and African American adults. Am J Clin Nutr 97: 480–486. doi: 10.3945/ajcn.112.047787
[17]  Rothney MP, Catapano AL, Xia J, Wacker WK, Tidone C, et al. (2013) Abdominal visceral fat measurement using dual-energy X-ray: Association with cardiometabolic risk factors. Obesity (Silver Spring) 21: 1798–1802. doi: 10.1002/oby.20223
[18]  Hsieh SD, Yoshinaga H, Muto T (2003) Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord 27: 610–616. doi: 10.1038/sj.ijo.0802259
[19]  Ashwell M, Gunn P, Gibson S (2012) Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev 13: 275–286. doi: 10.1111/j.1467-789x.2011.00952.x
[20]  Matsuo S, Imai E, Horio M, Yasuda Y, Tomita K, et al. (2009) Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis 53: 982–992. doi: 10.1053/j.ajkd.2008.12.034
[21]  Chiba Y, Saitoh S, Takagi S, Ohnishi H, Katoh N, et al. (2007) Relationship between visceral fat and cardiovascular disease risk factors: the Tanno and Sobetsu study. Hypertens Res 30: 229–236. doi: 10.1291/hypres.30.229
[22]  Liu Y, Tong G, Tong W, Lu L, Qin X (2011) Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects? BMC Public Health 11: 11–35. doi: 10.1186/1471-2458-11-35
[23]  Sanches FM, Avesani CM, Kamimura MA, Lemos MM, Axelsson J, et al. (2008) Waist circumference and visceral fat in CKD: a cross-sectional study. Am J Kidney Dis 52: 66–73. doi: 10.1053/j.ajkd.2008.02.004
[24]  Tanaka H, Shiohira Y, Uezu Y, Higa A, Iseki K (2006) Metabolic syndrome and chronic kidney disease in Okinawa, Japan. Kidney Int 69: 369–374. doi: 10.1038/sj.ki.5000050
[25]  Kurella M, Lo JC, Chertow GM (2005) Metabolic syndrome and the risk for chronic kidney disease among nondiabetic adults. J Am Soc Nephrol 16: 2134–2140. doi: 10.1681/asn.2005010106
[26]  Verani RR (1992) Obesity-associated focal segmental glomerulosclerosis: pathological features of the lesion and relationship with cardiomegaly and hyperlipidemia. Am J Kidney Dis 20: 629–634.
[27]  Weisinger JR, Kempson RL, Eldridge FL, Swenson RS (1974) The nephrotic syndrome: a complication of massive obesity. Ann Intern Med 81: 440–447. doi: 10.7326/0003-4819-81-4-440
[28]  Wu Y, Liu Z, Xiang Z, Zeng C, Chen Z, et al. (2006) Obesity-related glomerulopathy: insights from gene expression profiles of the glomeruli derived from renal biopsy samples. Endocrinology 147: 44–50. doi: 10.1210/en.2005-0641
[29]  Wisse BE (2004) The inflammatory syndrome: the role of adipose tissue cytokines in metabolic disorders linked to obesity. J Am Soc Nephrol 15: 2792–2800. doi: 10.1097/01.asn.0000141966.69934.21
[30]  Hotamisligil GS, Arner P, Caro JF, Atkinson RL, Spiegelman BM (1995) Increased adipose tissue expression of tumor necrosis factor-alpha in human obesity and insulin resistance. J Clin Invest 95: 2409–2415. doi: 10.1172/jci117936
[31]  Hotamisligil GS, Spiegelman BM (1994) Tumor necrosis factor alpha: a key component of the obesity-diabetes link. Diabetes 43: 1271–1278. doi: 10.2337/diabetes.43.11.1271
[32]  Pickup JC, Mattock MB, Chusney GD, Burt D (1997) NIDDM as a disease of the innate immune system: association of acute-phase reactants and interleukin-6 with metabolic syndrome X. Diabetologia. 40: 1286–1292. doi: 10.1007/s001250050822
[33]  Lin CH, Chou CY, Lin CC, Huang CC, Liu CS, et al. (2007) Waist-to-height ratio is the best index of obesity in association with chronic kidney disease. Nutrition 23: 788–793. doi: 10.1016/j.nut.2007.08.007
[34]  Zamanzad B (2009) Accuracy of dipstick urinalysis as a screening method for detection of glucose, protein, nitrites and blood. East Mediterr Health J 15: 1323–1328.
[35]  Tseng CH (2005) Waist-to-height ratio is independently and better associated with urinary albumin excretion rate than waist circumference or waist-to-hip ratio in chinese adult type 2 diabetic women but not men. Diabetes Care 28: 2249–2251. doi: 10.2337/diacare.28.9.2249

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133