河北省成人握力体重指数与代谢综合征的相关性研究

目的 分析成人握力体重指数与代谢综合征(metabolic syndrome,MS)之间是否存在相关性。方法 2017年7—8月在河北省7个区(县)进行横断面研究,收集MS和握力的相关指标和数据,将握力体重指数分为4个水平(Q₁～Q₄),采用趋势性检验和多因素logistic回归模型,分析MS及其组分与握力体重指数之间是否存在关联。结果 本研究共纳入6 373名符合标准的成年人,其MS患病率为20.02%。患有MS的居民总体握力体重指数为40.31(32.26,51.81)kg/kg,低于未患MS的居民45.76(37.72,55.70)kg/kg,差异有统计学意义(P<0.05)。进行趋势性检验后可以得知,无论男女,其MS及其组分的患病率与握力体重指数水平的变化趋势相反(P均<0.001)。多因素logistic回归分析过程中,调整年龄、民族、吸烟及饮酒的频率、现住址、受教育程度后,握力体重指数最高组比最低组患MS、超重/肥胖、高血压、血脂紊乱、高血糖的风险低(男性居民OR值分别为:0.25、0.09、0.59、0.46、0.50; 女性居民OR值分别为:0.14、0.06、0.47、0.39、0.42; P均<0.001)。结论 MS患病情况与握力体重指数有关联,二者呈现负相关的关系,且无性别差异。

Correlation between handgrip strength body mass index and metabolic syndrome in adults in Hebei

Objective To analyze the correlation between the prevalence of metabolic syndrome(MS)and handgrip strength body mass index in adults in Hebei. Methods From July 1 to August 31 in 2017, relevant indicators and data on MS and handgrip strength were collected using a population-based cross-sectional study in seven districts in Hebei Province. The handgrip strength body mass index was classified into four levels(Q₁-Q₄). The trends of MS and its components with changes in handgrip strength body mass index levels were analyzed using a trend test, and the relationship between MS and its related components and handgrip strength body mass index was analyzed using a multi-factor logistic regression model. Results There were 6 373 people in this study and their prevalence of MS was 20.02%. The overall handgrip strength body mass index of residents with MS was 40.31(32.26, 51.81)kg/kg, which was lower than that of residents without MS, whose handgrip strength body mass index was 45.76(37.72, 55.70)kg/kg, with a statistically significant difference(P<0.05). The results of the trend test showed that the prevalence of MS and its components decreased with levels of handgrip body mass index increasing in both men and women(all P<0.001). Results of the multi-factor logistic regression analysis showed that after adjusting for age, ethnicity, current address, level of education, smoking and alcohol consumption status, the highest quartile group of handgrip strength body mass index had a lower risk of MS, overweight/obesity, hypertension, dyslipidemia and hyperglycaemia than the lowest quartile group, regardless of gender(OR for men: 0.25, 0.09, 0.59, 0.46 and 0.50; OR for women: 0.14, 0.06, 0.47, 0.39, 0.42, respectively; all P<0.001). Conclusion The prevalence of MS decreases with increasing handgrip strength body mass index in both men and women, and handgrip strength body mass index is negatively associated with the risk of MS and can be used as a clinical predictor of MS.