Epidemiological study on association of uric acid to creatinine ratio with metabolic syndrome in middle-aged and elderly populationin Shanghai

doi:10.16150/j.1671-2870.2019.01.009

Abstract

Abstract:

Objective: To undertake an epidemiological study onassociation between serum uric acid to creatinine ratio (UA/Cr) and metabolic syndrome (MS) in middle-aged and elderly populationin Shanghai. Methods: A cross-sectional study was conducted in 6 570 residents aged 40 years or older in Jiading District of Shanghai in 2014. All participants received standard questionnaire, anthropometric measurements, biochemical evaluation. MS was defined according to the international Diabetes Federation (IDF) criteria. Participants were divided into 4 groups according to the quartiles of UA/Cr, and the associations of UA/Cr with MA were investigated by multivariate logistic regression analysis. Results: A total of 6 414 participants were included in this study, of which 33 135 (52.7%) participants were diagnosed with MS. The blood Cr level was 77（70-87） mmol/L, bloodUA level was 314（267-372） mmol/L, UA/Cr level was 4.01（3.46-4.65）. The UA/Cr of 1^st quartile group was <1.0, the 2ndquartile group was 1.0≤ to<1.5, the 3^rd quartile group was 1.5≤ to<2.0, the 4th quartile group was ≥2.0. From 1^st UA/Cr quartile to 4^th UA/Cr quartile, the body mass index (BMI), waist circumference, blood pressure, serum triglyceride, total cholesterol, low-density lipoproteincholesterol, HOMA-IR level, and serum C-reactive protein level increased with the increase of UA/Cr level（P<0.01）; the prevalence of MS and its components also showed a trend of increase (P<0.01). The multivariate logistic regression analysis revealed that serum UA/Cr was positively associated with MS, hypertension, dyslipidemia, hyperglycemia, central obesity, and insulin resistance. Compared with 1^stquartile group, the risk of MS in 2nd quartile group, 3^rd quartile group and 4^th quartile group 4 were 1.15(0.96-1.38),1.36(1.14-1.64）,1.96(1.62-2.37）; the risk of hypertension were 1.04(0.86-1.25), 1.22(1.01-1.48), 1.33(1.09-1.62); the risk of central obesity were 1.06(0.86-1.31),1.26(1.02-1.56), 1.33(1.09-1.62); the risk of high TG were 1.29(1.08-1.54), 1.74(1.46-2.07), 2.81(2.35-3.36); the risk of low HDL were 0.93(0.77-1.13),1.35(1.12-1.61), 1.50(1.25-1.80); the risk of insulin resistance were 0.96(0.77-1.19),1.14(0.92-1.40), 1.81(1.48-2.22) (all P<0.01). Conclusions: Serum UA/Cr is significantly associated with MS in middle-aged and elderly populationin Shanghai. Serum UA/Cr could serve as a biomarker of MS, which contributes to early detection and thereby the intervention of metabolic syndrome and its associated diseases.

Key words: Serum uric acid to creatinine ratio, Metabolic syndrome, Middle-aged and elderly population

CLC Number:

R587.1

HOU Yanan, XUAN Liping, ZHAO Zhiyun, LI Mian, CHEN Yuhong, DAI Meng, XU Min, BI Yufang, WANG Weiqing, GAO Jinli. Epidemiological study on association of uric acid to creatinine ratio with metabolic syndrome in middle-aged and elderly populationin Shanghai[J]. Journal of Diagnostics Concepts & Practice, 2019, 18(1): 44-50.

Figures/Tables 4

参数	组分1	组分2	组分3	组分4	P值
例数	1 603	1 604	1 604	1 603	/
年龄（岁）	62.6±9.2	62.2±8.7	62.2±8.6	62.1±8.6	0.230 0
BMI（kg/m²）	23.9±3.5	24.6±3.3	25.2±3.4	26.0±3.6	<0.000 1
腰围（cm）	81.1±10.2	82.6±10.1	84.3±9.6	86.5±10.3	<0.000 1
收缩压（mmHg）	133.9±18.1	139.9±17.7	135.0±16.5	136.2±16.8	0.000 3
舒张压（mmHg）	75.6±9.7	75.8±9.7	76.7±9.3	77.1±9.6	<0.000 1
空腹血糖（mmol/L）	6.21±1.71	6.10±1.43	6.08±1.37	6.17±1.33	0.040 0
胰岛素抵抗指数	1.60（1.10~2.40）	1.74（1.21~2.58）	1.93（1.32~2.81）	2.32（1.57~3.43）	<0.000 1
TG（mmol/L）	1.27（0.96~1.76）	1.44（1.08~1.96）	1.55 1.14~2.16）	1.87（1.31~2.69）	<0.000 1
LDL-C（mmol/L）	3.51±0.79	3.60±0.76	3.60±0.77	3.69±0.84	<0.000 1
HDL-C（mmol/L）	1.39±0.33	1.35±0.30	1.32±0.30	1.29±0.28	<0.000 1
TC（mmol/L）	5.17±0.99	5.25±0.95	5.27±0.98	5.41±1.12	<0.000 1
C反应蛋白（mg/L）	0.19（0.14~0.28）	0.21（0.16~0.30）	0.23（0.17~0.34）	0.26（0.19~0.40）	<0.000 1
饮食因素（食用频率×食用量）	32.3±17.6	33.3±19.6	32.6±16.8	32.5±16.5	0.450 0
MS[n（%）]	624（38.9）	744（46.4）	876（54.1）	1069（66.7）	<0.000 1
高血压病[n（%）]	1058（66.0）	1082（67.5）	1171（73.0）	1228（76.6）	<0.000 1
高三酰甘油血症[n（%）]	452（28.2）	579（36.1）	688（42.9）	927（57.8）	<0.000 1
低高密度脂蛋白血症[n（%）]	432（27.0）	457（28.5）	587（36.6）	648（40.4）	<0.000 1
高血糖症[n（%）]	938（58.5）	951（59.3）	954（59.5）	1061（66.2）	<0.000 1
中心性肥胖[n（%）]	622（38.8）	725（45.2）	881（54.9）	993（62.0）	<0.000 1
体力活动（MET-h/wk）	16.8（3.0~21.0）	15.0（4.5~21.0）	18.0（4.5~21.0）	15.0（3.0~21.0）	0.220 0
目前吸烟[n（%）]	314（19.6）	321（20.0）	300（18.7）	297（18.5）	0.670 0
目前饮酒[n（%）]	181（11.3）	212（13.2）	221（13.8）	292（18.2）	<0.000 1

模型	OR（95% CI）				趋势P值
模型	组分 1	组分2	组分3	组分4	趋势P值
MS
模型1	1.00	1.36（1.18~1.56）	1.89（1.64~2.17）	3.14（2.72~3.63）	<0.000 1
模型2	1.00	1.18（0.98~1.41）	1.44（1.20~1.73）	2.11（1.75~2.54）	<0.000 1
模型3	1.00	1.15（0.96~1.38）	1.36（1.14~1.64）	1.96（1.62~2.37）	<0.000 1
高血压病
模型1	1.00	1.07（0.92~1.24）	1.39（1.20~1.62）	1.69（1.44~1.97）	<0.000 1
模型2	1.00	1.04（0.87~1.25）	1.24（1.03~1.50）	1.36（1.12~1.65）	<0.000 1
模型3	1.00	1.04（0.86~1.25）	1.22（1.01~1.48）	1.33（1.09~1.62）	<0.000 1
高血糖症
模型1	1.00	1.03（0.90~1.19）	1.04（0.90~1.20）	1.39（1.20~1.60）	<0.000 1
模型2	1.00	1.05（0.89~1.24）	0.94（0.80~1.12）	1.22（1.02~1.45）	0.100 0
模型3	1.00	1.03（0.87~1.22）	0.90（0.76~1.07）	1.15（0.96~1.37）	0.360 0
中心性肥胖
模型1	1.00	1.30（1.13~1.50）	1.92（1.67~2.21）	2.57（2.23~2.96）	<0.000 1
模型2	1.00	1.08（0.88~1.38）	1.32（1.06~1.63）	1.40（1.12~1.74）	0.006 0
模型3	1.00	1.06（0.86~1.31）	1.26（1.02~1.56）	1.32（1.06~1.65）	0.004 0
低高密度脂蛋白血症
模型1	1.00	1.08（0.93~1.26）	1.56（1.35~1.82）	1.84（1.59~2.13）	<0.000 1
模型2	1.00	1.08（0.88~1.34）	1.32（1.06~1.63）	1.40（1.12~1.74）	<0.000 1
模型3	1.00	0.93（0.77~1.13）	1.35（1.12~1.61）	1.50（1.25~1.80）	<0.000 1
高三酰甘油血症
模型1	1.00	1.44（1.24~1.67）	1.91（1.65~2.22）	3.49（3.01~4.05）	<0.000 1
模型2	1.00	1.31（1.10~1.56）	1.80（1.51~2.14）	2.95（2.48~3.53）	<0.000 1
模型3	1.00	1.29（1.08~1.54）	1.74（1.46~2.07）	2.81（2.35~3.36）	<0.000 1
胰岛素抵抗
模型1	1.00	1.08（0.91~1.29）	1.46（1.23~1.73）	2.70（2.30~3.17）	<0.000 1
模型2	1.00	0.98（0.79~1.21）	1.19（0.97~1.47）	1.95（1.59~2.39）	<0.000 1
模型3	1.00	0.96（0.77~1.19）	1.14（0.92~1.40）	1.81（1.48~2.22）	<0.000 1

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