福州成年人群体成分与高血压风险评估

Investigation of the body composition and the risk of hypertension in Fuzhou area

目的分析福州地区成年人群体成分特点并建立估测体脂含量（％BF）的回归方程，评估％BF对高血压患病风险的预测价值。方法抽样人群602人（男性310人，女性292人），各年龄层人数比符合福州地区常住（5年及以上）居民年龄构成比。测量入选人群的血压、身高、体重、腰围、体重指数（BMI）等，应用双能X线骨密度仪（DEXA）检测体成分指标（总体脂肪、瘦组织质量）。分析抽样人群的腰围、BMI和体成分特征，X^2检验分析与BMI≥25kg／m^2诊断一致性的腰围和％BF切点，多元回归分析建立估测人群％BF的回归方程，logistic回归分析％BF对高血压患病风险的预测。结果成年男、女性人群的％BF、脂肪质量／瘦组织质量随年龄增长而增加，女性％BF明显高于男性。与BMI≥25kg／m^2诊断一致性最高的腰围和％BF切点分别为85cm、25％（男）和80cm、35％（女）。Logistic回归分析显示，年龄每增加一个等级的高血压患病比数比为1．49（男）和1．75（女），％BF每增加一个等级的高血压患病比数比为1．57（男）和1．65（女），BMI和腰围未能进入回归方程。结论与BMI 25kg／m^2作为肥胖判定切点一致的％BF切点为25％（男）和35％（女），体成分分析能更好地预测高血压的患病风险。

Objective To analyze boby composition and establish the regression equation of body fat（ % BY） in a sample of six hundzed and two adults in Fuzhou area,and to assess the prediction of % BF for risk of hypertension in the population. Methods Six-hundred and two subjects in Fuzhou, 310 men and 292 women, were investigated. Constituent ratio of all age groups were equal to the Fuzhou residents（5 years and above）. Blood pressure, height, weight, waist circumference, body mass index （ BMI ） of selected groups were measured. Total body fat mass and total body lean mass were measured by dual-energy X-ray absorptiometry （ DEXA ）. The characteristics of waist circumference, BMI and body composition were analyzed. The optimal waist circumference and % BF cut-points were searched using X^2 test to accord with the criterion of BMI≥25 kg/m^2. The prediction formula for % BF was assessed by mohiple linear regression. The prediction of % BF for risk of hypertension for the population was assessed by logistic regression. Results The older subjects appeared to have higher % BF and fat mass/lean mass ratio, and % BF of adult females was significantly higher than the males. The best cut-points were 25% for % BF and 85 cm for waist circumference in males,and 35% and 80 cm in females. Logistic regression analysis showed that the expected odds ratios of hypertension were 1.49 in males and 1.75 in females by every adding level of age, and 1.57 in males and 1.65 in females by every adding level of % BF. The waist circumference and BMI did not enter the regression equation. Conclusion The optimal % BF cut-points are 25% for male and 35% for female. % BF is better than BMI and waist circumference in predicting risk of hypertension.