广西成人高血压患病情况及其相关危险因素分析
Prevalence and related risk factors of hypertension in adults, Guangxi
孙健 1刘善景 2付晶晶2
作者信息
- 1. 广西医科大学, 广西 南宁 530021
- 2. 广西卫生职业技术学院, 广西 南宁 530021
- 折叠
摘要
目的 了解广西壮族自治区高血压患病情况及其相关危险因素,为制定高血压防治措施提供参考.方法 采用多阶段分层整群随机抽样方法,对广西18岁以上常住居民1 824人的基本情况,饮食及行为习惯共23种因素进行了调查,就其可能危险因素进行单因素χ2检验和多因素非条件logistic回归分析.结果 人群高血压患病率17. 4％.单因素分析表明性别、年龄、BMI、夜宵习惯、肉制品食用频率等18个因素差异均有统计学意义.多因素非条件logistic回归分析结果显示,年龄 (OR=2. 130),BMI (OR=2. 489),早餐食物种类过多 (OR=2. 000),深色蔬菜摄入量不足 (OR=1. 590),吸烟 (OR=1. 270) 等10项为高血压危险因素 (P ＜0. 05).结论 改善不良行为因素如深色蔬菜及水产品摄入量不足,动物性产品摄入过多等不健康饮食,吸烟,缺少运动等以及防止体重过高可以有效预防高血压的发生.
Abstract
Objective To understand the prevalence of hypertension and its main risk factors in Guangxi Zhuang Autonomous Region, and to provide a reference for the prevention and treatment of hypertension. Methods A total of 1, 824 subjects over18 years old was selected by multi-stage stratified cluster random sampling method, and 23 factors such as basic conditions and diet & behavioral habits were investigated. The univariate chi-square test and multivariate unconditional logistic regression were applied to analyze the possible risk factors of hypertension. Results The prevalence of hypertension was17. 4％. Univariate analysis showed that there were statistical differences in 18 factors such as sex, age, BMI, midnight snack habits and frequency of meat consumption. The multiple logistic regression analysis indicated that 10 factors such as age (OR =2. 130), BMI (OR = 2. 489), too many kinds of breakfast food OR = 2. 000), insufficient intake of dark color vegetables (OR= 1. 590), smoking (OR = 1. 270) were the risk factors of hypertension (P ＜ 0. 05) . Conclusion Improving unhealthy behavioral factors such as insufficient intake of dark color vegetables, excessive intake of animal products, smoking, lacking of exercise and prevention of overweight may reduce the incidence of hypertension.
关键词
高血压/患病率/危险因素/相关性分析Key words
Hypertension/Prevalence/Risk factors/Correlation analysis引用本文复制引用
基金项目
2017年度广西职业教育教学改革研究项目(GXGZJG2017B066)
广西医科大学青年科学基金(GXMUYSF201324)
出版年
2018
NETL
NSTL
维普
万方数据