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教育程度和吸烟交互作用与高血压的相关研究
引用本文:胡文斌,张婷,仝岚,秦威,邱和泉,金亦徐,周杰,史建国.教育程度和吸烟交互作用与高血压的相关研究[J].江苏预防医学,2016(1):18-21.
作者姓名:胡文斌  张婷  仝岚  秦威  邱和泉  金亦徐  周杰  史建国
作者单位:江苏省昆山市疾病预防控制中心,苏州,215300
摘    要:目的探究教育程度和吸烟状态交互作用对高血压患病的影响。方法采用概率比例抽样方法,于2012年对江苏省昆山市≥18岁居民进行问卷调查与体格检查。样本数据通过复杂加权后进行统计分析,采用多因素logistic回归探究高血压病与诸因素的关联强度及交互作用。结果共调查38 425人,检出高血压患者8 239例。通过复杂加权后,高血压患病率(95%CI)为17.2%(16.8%~17.6%),男性为17.2%(16.6%~17.7%),女性为17.3%(16.7%~17.8%)。检出吸烟者9 657例,吸烟率(95%CI)为23.21%(22.74%~23.66%),男性为46.65%(45.85%~47.45%),女性为1.4%(1.2%~1.6%)。调整混杂因素后,较低的教育程度(OR=1.25,95%CI:1.13~1.38)、吸烟(OR=1.22,95%CI:1.11~1.34)与高血压患病率间存在统计学关联;吸烟状态和教育程度交互作用与高血压患病率间有统计学关联(χ2=5.048,P=0.025)。结论吸烟及教育程度均与高血压患病有关,文化程度较低伴吸烟者高血压患病率较高。

关 键 词:交互作用  高血压  教育程度  吸烟  回归分析

Study of association and interaction between educational background and smoking status with hypertension prevalence
Abstract:Objective To study association and interaction between smoking status and educational background with hypertension prevalence. Methods Probability proportional to size ( PPS) sampling method was used;local residents aged 18 years or above were selected for questionnaire-based survey and physical examination in Kunshan in 2012. Statistical analysis was performed after weighted according to complex sampling scheme. Multivariate logistic regression analysis was conducted to evaluate association and interaction a-mong influencing factors and hypertension prevalence. Results A total of 38 425 subjects were investigated, among which 8 239 sub-jects were diagnosed with hypertension. The weighted hypertension prevalence was 17. 2% (95%CI:16. 8%-17. 6%). Hypertension prevalence was 17. 2% (95%CI:16. 6%-17. 7%) for male subjects and 17. 3% (95%CI:16. 7%-17. 8%) for female subjects. A total of 9 657 smokers were identified, resulting smoking prevalence of 23. 21% (95%CI:22. 74%-23. 66%). Smoking rate was 46. 65% (95%CI:45. 85%-47. 45%) for male subjects and 1. 4%(1. 2%-1. 6%)for female subjects. After adjusting for complex fac-tors, statistical corelation was observed between lower education level (OR=1. 25, 95%CI: 1. 13-1. 38), smoking (OR=1. 22, 95%CI:1. 11-1. 34) and hypertension prevalence; interaction between smoking status and educational background was significantly correlated with hypertension(χ2 =5. 048,P=0. 025). Conclusion Educational background and smoking status were associated with hypertension prevalence. Residents with lower educational background who were current smokers had higher hypertension prevalence.
Keywords:Interaction  Hypertension  Educational background  Smoking  Regression analysis
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