生命八要素评分与高尿酸血症的关联

The association between the life’s essential 8 metrics and hyperuricemia

  • 摘要: 目的 探索生命八要素评分与高尿酸血症的关联。方法 采用横断面研究方法,以参加2006—2007年健康体检的开滦研究人群作为研究对象,排除生命八要素中任一项缺失和血尿酸水平缺失者,共纳入研究对象92 912例,以修订后的生命八要素(吸烟、体育锻炼、饮食健康、体重指数、睡眠健康、血压、血糖和非高密度脂蛋白胆固醇)量表进行评分,并依据评分四分位进行分组。高尿酸血症定义为血尿酸≥420μmol/L。采用多因素logistic回归分析生命八要素评分与高尿酸血症的关联。结果 在煤矿企业职工92 912人中,男性占79.78%,平均年龄(51.5±12.6)岁,检出高尿酸血症5 997例,检出率为6.45%。不同性别人群以生命八要素评分四分位数分组后合并为四组,多因素logistic回归分析结果显示,校正年龄、性别、婚姻状态、受教育程度、收入水平、饮酒、甘油三酯和估算的肾小球滤过率后,以生命八要素评分第1四分位组为参照,第2、3和4四分位组高尿酸血症风险分别降低9%(OR=0.91,95%CI 0.85~0.98,P=0.009)、26%(OR=0.74,95%CI 0.69~0.80,P<0.001)和36%(OR=0.64,95%CI 0.59~0.70,P<0.001)。生命八要素评分每增加1个标准差,高尿酸血症风险降低2%(OR=0.98,95%CI 0.98~0.99,P<0.001)。分层分析显示,以第1四分位组为参照,男性第2、3、4四分位组高尿酸血症风险分别降低6%(OR=0.94,95%CI 0.87~1.01)、23%(OR=0.77,95%CI 0.71~0.83)和32%(OR=0.68,95%CI 0.62~0.74),女性第2、3、4四分位组高尿酸血症风险分别降低27%(OR=0.73,95%CI 0.55~0.96)、40%(OR=0.60,95%CI 0.44~0.82)和55%(OR=0.45,95%CI 0.30~0.67)。以各年龄段生命八要素评分第1四分位组为参照,年龄<35、35~<45、45~<55、55~<65、≥65岁人群第4四分位组高尿酸血症风险分别降低47%(OR=0.53,95%CI 0.41~0.69)、45%(OR=0.55,95%CI 0.44~0.68)、32%(OR=0.68,95%CI 0.57~0.82)、37%(OR=0.63,95%CI 0.54~0.75)、25%(OR=0.75,95%CI 0.63~0.89)。结论 生命八要素评分与高尿酸血症风险具有负向关联。

     

    Abstract: Objective To explore the association between the life’s essential 8 metrics and hyperuricemia. Methods Using a cross-sectional study method, the Kailuan study population who participated in the health examination from 2006 to 2007 was selected as the research subjects. Excluding individuals with any deficiency in the eight elements of life and blood uric acid levels, a total of 92 912 subjects were included. The revised eight elements of life(smoking, physical exercise, dietary health, body mass index, sleeping health, blood pressure, blood sugar and non high-density lipoprotein cholesterol) scale was used for scoring. The subjects were grouped according to the quartile of the score. Hyperuricemia was defined as serum uric acid concentrations of ≥420 μmol/L for men and women. Association between the life’s essential 8 metrics and hyperuricemia was assessed using multiple logistic regression models. Results Among 92 912 coal mine enterprise workers, 79.78% were male, with an average age of(51.5±12.6) years, and 5 997 cases of hyperuricemia were detected, with a detection rate of 6.45%. People of different genders were combined into four groups after grouping by quartiles of the score of the life’s essential 8 metrics. The results of multivariate logistic regression analysis showed that, after adjusted for age, gender, marital status, education level, income level, alcohol consumption, triglycerides, and estimated glomerular filtration rate, compared with the first quartile, the risk of hyperuricemia reduced by 9%(OR=0.91, 95%CI 0.85-0.98, P=0.009), 26%(OR=0.74, 95%CI 0.69-0.80, P<0.001) and 36%(OR=0.64, 95%CI 0.59-0.70, P<0.001) in the second, third, and fourth quartile groups, respectively. For each standard deviation increase in the score of the life’s essential 8 metrics, the risk of hyperuricemia reduced by 2%(OR=0.98, 95%CI 0.98-0.99, P<0.001). Stratified analysis showed that compared with the first quartile, the risk of hyperuricemia in the second, third and fourth quartiles reduced by 6%(OR=0.94, 95%CI 0.87-1.01), 23%(OR=0.77, 95%CI 0.71-0.83) and 32%(OR=0.68, 95%CI 0.62-0.74) for men and reduced by 27%(OR=0.73, 95%CI 0.55-0.96), 40%(OR=0.60, 95%CI 0.44-0.82) and 55%(OR=0.45, 95%CI 0.30-0.67) for women, respectively. Using the first quartile of the score of the life’s essential 8 metrics for each age group as a reference, the risk of hyperuricemia reduced by 47%(OR=0.53, 95%CI 0.41-0.69), 45%(OR=0.55, 95%CI 0.44-0.68), 32%(OR=0.68, 95%CI 0.57-0.82), 37%(OR=0.63, 95%CI 0.54-0.75), 25%(OR=0.75, 95%CI 0.63-0.89) in the fourth quartile of the subjects aged <35, 35-<45, 45-<55, 55-<65, and ≥65 years, respectively. Conclusion There is a negative correlation between the score of the life’s essential 8 metrics and the risk of hyperuricemia.

     

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