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自由生活成年人尿酸的饮食、人体测量和生化决定因素。

Dietary, anthropometric, and biochemical determinants of uric acid in free-living adults.

机构信息

Center for exercise metabolism and nutrition (CeMENutri) Department of Public Health Botucatu School of Medicine (UNESP), Botucatu, Brazil.

出版信息

Nutr J. 2013 Jan 12;12:11. doi: 10.1186/1475-2891-12-11.

Abstract

BACKGROUND

High plasma uric acid (UA) is a prerequisite for gout and is also associated with the metabolic syndrome and its components and consequently risk factors for cardiovascular diseases. Hence, the management of UA serum concentrations would be essential for the treatment and/or prevention of human diseases and, to that end, it is necessary to know what the main factors that control the uricemia increase. The aim of this study was to evaluate the main factors associated with higher uricemia values analyzing diet, body composition and biochemical markers.

METHODS

415 both gender individuals aged 21 to 82 years who participated in a lifestyle modification project were studied. Anthropometric evaluation consisted of weight and height measurements with later BMI estimation. Waist circumference was also measured. The muscle mass (Muscle Mass Index - MMI) and fat percentage were measured by bioimpedance. Dietary intake was estimated by 24-hour recalls with later quantification of the servings on the Brazilian food pyramid and the Healthy Eating Index. Uric acid, glucose, triglycerides (TG), total cholesterol, urea, creatinine, gamma-GT, albumin and calcium and HDL-c were quantified in serum by the dry-chemistry method. LDL-c was estimated by the Friedewald equation and ultrasensitive C-reactive protein (CRP) by the immunochemiluminiscence method. Statistical analysis was performed by the SAS software package, version 9.1. Linear regression (odds ratio) was performed with a 95% confidence interval (CI) in order to observe the odds ratio for presenting UA above the last quartile (♂UA > 6.5 mg/dL and ♀ UA > 5 mg/dL). The level of significance adopted was lower than 5%.

RESULTS

Individuals with BMI ≥ 25 kg/m2 OR = 2.28(1.13-4.6) and lower MMI OR = 13.4 (5.21-34.56) showed greater chances of high UA levels even after all adjustments (gender, age, CRP, gamma-gt, LDL, creatinine, urea, albumin, HDL-c, TG, arterial hypertension and glucose). As regards biochemical markers, higher triglycerides OR = 2.76 (1.55-4.90), US-CRP OR = 2.77 (1.07-7.21) and urea OR = 2.53 (1.19-5.41) were associated with greater chances of high UA (adjusted for gender, age, BMI, waist circumference, MMI, glomerular filtration rate, and MS). No association was found between diet and UA.

CONCLUSIONS

The main factors associated with UA increase were altered BMI (overweight and obesity), muscle hypotrophy (MMI), higher levels of urea, triglycerides, and CRP. No dietary components were found among uricemia predictors.

摘要

背景

高血浆尿酸(UA)是痛风的前提,也与代谢综合征及其成分有关,因此也是心血管疾病的危险因素。因此,UA 血清浓度的管理对于人类疾病的治疗和/或预防至关重要,为此,有必要了解控制尿酸升高的主要因素。本研究旨在通过分析饮食、身体成分和生化标志物来评估与较高尿酸值相关的主要因素。

方法

研究了 415 名年龄在 21 至 82 岁之间的两性个体,他们参加了一个生活方式改变项目。人体测量评估包括体重和身高测量,随后估计 BMI。还测量了腰围。通过生物阻抗法测量肌肉质量(肌肉质量指数-MMI)和脂肪百分比。通过 24 小时回忆来估计饮食摄入量,然后对巴西食物金字塔和健康饮食指数中的份量进行量化。尿酸、葡萄糖、甘油三酯(TG)、总胆固醇、尿素、肌酐、γ-GT、白蛋白和钙以及 HDL-c 通过干化学法在血清中定量。通过 Friedewald 方程估计 LDL-c,通过免疫化学发光法估计超敏 C 反应蛋白(CRP)。统计分析采用 SAS 软件包,版本 9.1。通过线性回归(比值比)进行 95%置信区间(CI)的分析,以观察 UA 高于最后一个四分位数的比值比(♂UA>6.5mg/dL 和♀UA>5mg/dL)。采用的显著性水平低于 5%。

结果

BMI≥25kg/m2 的个体 OR=2.28(1.13-4.6)和较低的 MMI OR=13.4(5.21-34.56),即使在所有调整后(性别、年龄、CRP、γ-GT、LDL、肌酐、尿素、白蛋白、HDL-c、TG、高血压和葡萄糖),UA 水平升高的可能性也更大。就生化标志物而言,较高的甘油三酯 OR=2.76(1.55-4.90)、US-CRP OR=2.77(1.07-7.21)和尿素 OR=2.53(1.19-5.41)与 UA 升高的可能性更大(调整性别、年龄、BMI、腰围、MMI、肾小球滤过率和 MS)。UA 与饮食无相关性。

结论

UA 升高的主要因素是 BMI 改变(超重和肥胖)、肌肉萎缩(MMI)、尿素、甘油三酯和 CRP 水平升高。尿酸预测因子中没有发现饮食成分。

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