受教育程度与肥胖交互作用对高血压患病的影响

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目的探究体质指数(BMI)和腰围身高比(WHtR)与受教育程度交互作用对高血压患病的影响。方法采用概率比例抽样(PPS)法,于2012年5—8月对江苏省昆山市≥18周岁户籍居民进行问卷调查、体格检查与血压测量。样本数据通过复杂加权后进行统计分析,使用多因素Logistic回归探究高血压与诸因素的关联强度及交互作用。结果通过复杂加权后高血压患病率为17.2%〔95%CI(16.8%,17.6%)〕,其中男性患病率为17.2%〔95%CI(16.6%,17.7%)〕,女性患病率为17.3%〔95%CI(16.7%,17.8%)〕。调整年龄、性别、吸烟与饮酒状态及体力活动情况之后,在不同的受教育程度分层中,随着BMI水平的增加其与高血压患病关联强度均呈现上升趋势(趋势检验,P<0.001,R2=0.977);WHtR>0.5与高血压患病关联强度亦有统计学意义(趋势检验,P<0.05,R2=0.966)。受教育程度与BMI交互作用(乘积项,β=0.153,Sβ=0.015,χ2=106.70,P<0.001)、受教育程度与WHtR交互作用(乘积项,β=0.691,Sβ=0.039,χ2=310.98,P<0.001)与高血压患病之间的关联均有统计学意义。结论 BMI、WHtR与高血压患病关联,另外,受教育程度较低与肥胖同时存在时与高血压患病呈现相乘交互作用。 Objective To investigate the effects of body mass index (BMI) and waist circumference ratio (WHtR) on the prevalence of hypertension by the interaction of education level and educational level. Methods The probability proportional sampling (PPS) method was used to conduct questionnaire survey, physical examination and blood pressure measurement of the permanent residents aged 18 or above in Kunshan, Jiangsu Province from May to August in 2012. The sample data were statistically analyzed with complex weighting, and multivariate logistic regression was used to explore the correlation between hypertension and various factors and their interaction. Results The prevalence of post-complicated hypertension was 17.2% [95% CI (16.8%, 17.6%)], with a prevalence rate of 17.2% [95% CI (16.6%, 17.7% The rate was 17.3% [95% CI (16.7%, 17.8%)]. After adjusting for age, gender, smoking and drinking status and physical activity, the association of hypertension with hypertension increased with the level of BMI in different stratification levels (trend test, P <0.001 , R2 = 0.977). The correlation between WHtR> 0.5 and hypertension was also statistically significant (trend test, P <0.05, R2 = 0.966). The degree of education interacted with BMI (product term, β = 0.153, Sβ = 0.015, χ2 = 106.70, P <0.001) and the degree of education interacted with WHtR (product term, β = 0.691, Sβ = 0.039, χ2 = 310.98 , P <0.001) and the prevalence of hypertension were statistically significant. Conclusions BMI and WHtR are associated with the prevalence of hypertension. In addition, there is a multiplying interaction between hypertension and lower prevalence of obesity.
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