目的:探究拉萨和咸阳导致H型高血压的影响因素,为其防治提供依据。方法:从拉萨三级医院随机抽取102名住院患者,咸阳三级医院随机抽取155名住院患者,采用问卷调查的形式,从民族、年龄、性别、血浆半胱氨酸水平、吸烟和饮酒的程度、精神...目的:探究拉萨和咸阳导致H型高血压的影响因素,为其防治提供依据。方法:从拉萨三级医院随机抽取102名住院患者,咸阳三级医院随机抽取155名住院患者,采用问卷调查的形式,从民族、年龄、性别、血浆半胱氨酸水平、吸烟和饮酒的程度、精神状态及睡眠情况八个方面进行统计,采用SPSS25.0软件进行多因素Logistic回归分析H型高血压的影响因素。结果:西藏拉萨的调查数据中,男性H型高血压患病率为46.84%,女性为78.26%;陕西咸阳的调查数据中,男性H型高血压患病率为56.79%,女性为32.43%。多因素Logistic回归模型分析结果显示,西藏拉萨H型高血压患者的相关危险因素中年龄和精神状态有显著的统计学意义;而陕西咸阳H型高血压患者的相关危险因素中性别、精神状态及睡眠情况有显著的统计学意义。结论:西藏拉萨H型高血压患者的独立危险因素包括年龄(≥50岁)、精神状态;而陕西咸阳H型高血压患者的独立危险因素包括性别、精神状态及睡眠情况。 Objective: To explore the influencingfactors of H-type hypertension in Lhasa and Xianyang, and provide proof for itsprevention and treatment. Methods: One hundred and two hospitalized patientswere randomly selected from Lhasa tertiary Hospital, and 155 inpatients wererandomly selected from Xianyang tertiary Hospital, using questionnaire survey,from nationality, age, gender, plasma cysteine level, degree of smoking and alcoholdrinking, mental state and sleep, using SPSS25.0software for multivariate Logistic regression to analyze the influencingfactors of H hypertension. Results: Survey data in Lhasa, Tibet showed that the prevalence of H-type hypertensionin men was 46.84% and that in women was 78.26%. Survey data in Xianyang,Shaanxi showed that the prevalence of H-type hypertension in men was 56.79% and that in women was 32.43%. Multiple logisticregression model analysis showed that age and mental state hadsignificant statistical sign展开更多
文摘目的:探究拉萨和咸阳导致H型高血压的影响因素,为其防治提供依据。方法:从拉萨三级医院随机抽取102名住院患者,咸阳三级医院随机抽取155名住院患者,采用问卷调查的形式,从民族、年龄、性别、血浆半胱氨酸水平、吸烟和饮酒的程度、精神状态及睡眠情况八个方面进行统计,采用SPSS25.0软件进行多因素Logistic回归分析H型高血压的影响因素。结果:西藏拉萨的调查数据中,男性H型高血压患病率为46.84%,女性为78.26%;陕西咸阳的调查数据中,男性H型高血压患病率为56.79%,女性为32.43%。多因素Logistic回归模型分析结果显示,西藏拉萨H型高血压患者的相关危险因素中年龄和精神状态有显著的统计学意义;而陕西咸阳H型高血压患者的相关危险因素中性别、精神状态及睡眠情况有显著的统计学意义。结论:西藏拉萨H型高血压患者的独立危险因素包括年龄(≥50岁)、精神状态;而陕西咸阳H型高血压患者的独立危险因素包括性别、精神状态及睡眠情况。 Objective: To explore the influencingfactors of H-type hypertension in Lhasa and Xianyang, and provide proof for itsprevention and treatment. Methods: One hundred and two hospitalized patientswere randomly selected from Lhasa tertiary Hospital, and 155 inpatients wererandomly selected from Xianyang tertiary Hospital, using questionnaire survey,from nationality, age, gender, plasma cysteine level, degree of smoking and alcoholdrinking, mental state and sleep, using SPSS25.0software for multivariate Logistic regression to analyze the influencingfactors of H hypertension. Results: Survey data in Lhasa, Tibet showed that the prevalence of H-type hypertensionin men was 46.84% and that in women was 78.26%. Survey data in Xianyang,Shaanxi showed that the prevalence of H-type hypertension in men was 56.79% and that in women was 32.43%. Multiple logisticregression model analysis showed that age and mental state hadsignificant statistical sign
