共查询到19条相似文献,搜索用时 156 毫秒
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目的 利用决策树模型和Logistic回归分析模型分析清丰县居民高血压的危险因素,比较两种分析方法的不同.方法 采取多阶段分层整群抽样的方法,在清丰县15~ 74岁人群中抽取4087名常住居民进行调查.建立决策树与Logistic回归分析模型.结果 决策树和Logistic回归分析模型均显示高年龄、中心性肥胖、初中以下... 相似文献
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目的 调查重庆市高血压前期患病率及相关因素,为高血压的早期预防提供科学依据.方法 采取问卷调查方法,选择重庆市沙坪坝区>18岁常住居民59 264人,计算人群中高血压前期患病率,应用Logistic回归模型进行危险因素分析.结果 高血压前期患病率为64.72%;35~44岁高血压前期患病率最高,为71.11%;其次为25~34岁为70.52%;与正常血压组比较,高血压前期组的平均年龄、吸烟率、饮酒率、体质指数(BMI)、腰围(WC)及腰臀比(WHR)等增高;多因素Logistic回归分析表明,与高血压前期相关的因素有年龄、吸烟、WHR、WC和BMI;无论男女,肥胖是其重要高危险因素.结论 重庆市居民高血压前期患病率较高,应尽早针对相关危险因素采取预防控制措施,对居民进行防治知识的宣传教育. 相似文献
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黑龙江省居民高血压患病及影响因素分析 总被引:4,自引:2,他引:2
目的 探讨黑龙江省高血压的主要影响因素,为制定高血压的防治措施提供依据.方法 对黑龙江省哈尔滨市太平区、肇东市和双城市常住居民进行高血压影响因素的问卷调查和医学体检.对调查结果进行单因素和多因素非条件Logistic回归分析.结果 单因素分析显示,有意义的变量有性别、年龄、文化程度、高血压家族史、饮酒、职业性体力劳动、腰围和体质指数.经Logistic回归模型分析,调整年龄和性别后,进入主效应模型的变量为文化程度、高血压家族史和腰围,其OR值分别为1.331,1.478,2.730.结论 文化程度、高血压家族史和腰围是黑龙江省居民高血压的主要危险因素. 相似文献
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目的 研究超重、肥胖和中心性肥胖与糖尿病(DM)、高血压之间的关系.方法 按照多阶段分层随机抽样原则,对山东省中西部农村居民16 388人进行问卷调查并测量身高、体重、腰围、血压、空腹血糖.空腹血糖在6.1~7.0mmol/L间复做口服葡萄糖耐量试验(OGTT).分析超重肥胖、中心性肥胖与糖尿病和高血压患病率间的关系.结果 超重、肥胖、中心性肥胖患病率分别为35.28%,15.31%,40.63%,DM患病率为4.27%,高血压患病率为43.8%.DM和高血压患病率随BMI和腰围的增加而升高,经X2趋势检验,有统计学意义(P<0.05).经分层分析,高血压患病率随BMI和腰围增加而升高,DM患病率随腰围增加而升高(P<0.05),随BMI增加,DM患病率并无上升(P>0.05).多因素Logistic回归分析证实,高血压患病危险性与BMI和腰围相关(P<0.05),而DM仅与腰围有关(P<0.05),与BMI无关(P>0.05).结论 超重、肥胖和中心性肥胖与高血压、糖尿病关系密切.必须加强超重、肥胖和中心性肥胖的干预控制工作. 相似文献
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摘要:目的 了解射阳县农村18~69岁居民高血压前期患病率及影响因素,为制定该地区高血压防治策略提供科学依据。方法 采用多阶段抽样方法,随机抽取该县4个镇8个村18~69岁居民进行入户问卷调查和体格检查,采用Logistic回归方法分析高血压前期的危险因素。结果 本次研究共计调查1 598人,射阳县农村18~69岁居民高血压前期患者428人,患病率26.8%,其中,男性患病率为33.8%,女性患病率为21.6%,男性高于女性(P<0.001),差别有统计学意义。18~60岁这个年龄段内,随着年龄的增长,高血压前期患病率逐步增高。多因素Logistic回归分析结果显示,男性、高年龄、腰围大、高BMI是高血压前期患病的危险因素(P<0.05)。结论 通过多种途径,落实控制体重和腰围、终止高血压膳食疗法、增加体力活动、减少饮酒,是预防高血压前期的有效方法。 相似文献
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目的探讨龙湾区社区居民高血压患病现状及其主要危险因素,为制订防治策略提供科学依据。方法采用随机整群抽样方法抽取4 295人开展现场问卷调查和体格检查,对高血压影响因素进行单因素及多因素的非条件logistic回归分析。结果龙湾区社区居民高血压患病粗率为38.49%,标化后患病率为26.11%;单因素分析,年龄、婚姻状况、工作紧张程度、情绪状态、BMI、腰围与高血压密切相关(P值均0.05);多因素分析,年龄、体重指数、腰围和甘油三酯与高血压有密切关联性。结论年龄、体重指数、腰围是龙湾区社区居民高血压病的主要危险因素。 相似文献
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探讨儿童高血压与体质量指数(BMI)、腰围、腰高比、腰臀比的关联性,为儿童高血压和成年期高血压的早期预防提供参考.方法 以2014年安徽省学生体质与健康调研检测中的8 890名7~17岁儿童(男童4 424名,女童4 466名)作为研究对象,测量其身高、体重、腰围、臀围、血压,计算体质量指数、腰高比、腰臀比,并进行Z分转化.分析高血压与各项肥胖相关指标Z分间的关系,采用相关性分析、多元线性回归模型、ROC曲线分析.结果 8 890名儿童的高血压检出率为13.61%(95%CI=12.90%~14.32%),其中男生(16.30%,95%CI=15.21%~17.39%)高于女生(10.95%,95%CI=10.03% ~ 11.87%),差异有统计学意义(x2=54.06,P<0.01).BMI、腰围、腰高比、腰臀比4项人体测量指标Z分均呈正相关(P值均<0.01).Logistic回归分析得出,4项人体测量指标均为高血压的影响因素(P值均<0.01),其中男、女童BMI的Z分指标对高血压的影响最大,OR值分别为1.79(95%CI=1.66~1.93)和1.69(95%CI=1.56~1.84).ROC曲线结果显示,BMI、腰围的Z分指标与血压间的相关性较其他人体测量指标强.结论 BMI和腰围与7~17岁儿童高血压有良好的相关性. 相似文献
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Zhang X Yao S Sun G Yu S Sun Z Zheng L Xu C Li J Sun Y 《Nutrition (Burbank, Los Angeles County, Calif.)》2012,28(1):46-52
Objective
Obesity increases the risk of hypertension and other chronic diseases, which are little known in rural China. This study aimed to investigate the epidemiologic features and the association with hypertension of obesity in rural Chinese women.Methods
A cross-sectional survey was conducted during 2004 through 2006, which used a multistage cluster sampling method to select a representative sample in Liaoning Province, China. In total 23 178 rural participants at least 35 y of age were examined (the percentage of subjects >64 y old was 14.5%). Data on demographic variables (age, sex, and race), smoking status, use of alcohol, physical activity, and education level were obtained by interview. Overweight and obesity were defined according to the World Health Organization classification. Hypertension was defined according to the criteria established by the Seventh Report of the Joint National Committee, and untreated hypertensive subjects were further classified into three subtypes: isolated systolic hypertension, isolated diastolic hypertension, and systolic and diastolic hypertension. Multivariable models and performed Poisson logistic regression analysis were used to determine associations among body mass index (BMI), waist circumference, and variables.Results
Overall, the prevalences of overweight and obesity were 24.4% and 2.7%, respectively, as defined by BMI, whereas the prevalences were 48.6% and 4.9% as defined by waist circumference. Poisson regression revealed that high levels of physical activity (defined by BMI, moderate: prevalence ratio [PR] 0.976, 95% confidence interval [CI] 0.965-0.988, high: PR 0.985, 95% CI 0.971-0.999; defined by waist circumference, moderate: PR 0.955, 95% CI 0.944-0.965, high: PR 0.973, 95% CI 0.960-0.985) and current smoking status (defined by BMI, PR 0.950, 95% CI 0.938-0.962; defined by waist circumference, PR 0.966, 95% CI 0.954-0.978) were protective factors and ethnicity was a risk factor (defined by BMI, Mongolian nationality: PR 1.042, 95% CI 1.030-1.054; defined by waist circumference, PR 1.043, 95% CI 1.033-1.054) for overweight or obese participants. There were other risk factors for overweight or obese participants such as high levels of education defined by BMI (PR 1.033, 95% CI 1.010-1.058) and diet score defined by waist circumference (PR 1.004, 95% CI 1.000-1.008). After adjustment, BMI and waist circumference were associated with the greatest likelihood of systolic and diastolic hypertension (for BMI ≥30 kg/m2, PR 2.455, 95% CI 1.786-3.374; for waist circumference ≥88 cm, PR 1.517, 95% CI 1.133-2.031). BMI was more related to isolated diastolic hypertension than to isolated systolic hypertension, whereas waist circumference was more related to isolated systolic hypertension than to isolated diastolic hypertension.Conclusion
Although the prevalence of overweight and obesity as defined by BMI was low, it was relatively high as defined by waist circumference in rural Chinese women. High levels of physical activity and current smoking status had negative relations to overweight or obesity, whereas ethnicity, high levels of education, and diet score showed positive relations. Obese women defined by BMI or waist circumference had an increased risk of hypertension. 相似文献16.
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