目的:了解深圳市南山区2016~2018年社区居民高血压的患病状况及其危险因素,结合该地区人口构成和生活方式的特殊性,有针对性地制定社区高血压的防治策略。方法:分析资料来源于2016~2018三年深圳市南山区社区体检数据资料,以比较不同特...目的:了解深圳市南山区2016~2018年社区居民高血压的患病状况及其危险因素,结合该地区人口构成和生活方式的特殊性,有针对性地制定社区高血压的防治策略。方法:分析资料来源于2016~2018三年深圳市南山区社区体检数据资料,以比较不同特征人群高血压患病率。用多元Logistic回归综合分析高血压危险因素,用OR值表明不同因素影响程度。所有统计分析都是在SPSS 22.0统计软件中完成。结果:深圳市南山区参与体检居民高血压患病率为37.5%,高于广东省水平且稍高于全国水平。男性高血压患病率为38.9%,女性为36.5%,男性患病率高于女性(χ2 = 103.258, P 2 = 13,697.071, P 2 = 13,296.238, P 2 = 2487.425, P 2 = 2451.140, P 2 = 1349.515, P 2 = 1328.383, P <0.001)。多因素Logistic回归分析结果显示,性别、年龄 ≥ 50岁、超重、肥胖、糖尿病是高血压的危险因素。结论:2016~2018年深圳市南山区18岁以上居民高血压患病率较高。性别、年龄 ≥ 50岁、超重、肥胖、糖尿病是高血压的危险因素。应结合该地区人群特点的特殊性有针对性地制定防治策略。展开更多
Taking Nanshan District,Shenzhen as an example,the paper studies the influencing factors of residential rental price via hedonic price model.The hedonic price index system is constructed and relevant characteristic va...Taking Nanshan District,Shenzhen as an example,the paper studies the influencing factors of residential rental price via hedonic price model.The hedonic price index system is constructed and relevant characteristic variables are selected from the perspectives of building characteristics,location characteristics,neighborhood characteristics and rental characteristics.The residential rental data in the second half of 2020 are analyzed by multi-factors linear regression,and hedonic price model of house lease in Nanshan District is obtained to analyze the inherent law of residential rental price structure in this area.展开更多
文摘目的:了解深圳市南山区2016~2018年社区居民高血压的患病状况及其危险因素,结合该地区人口构成和生活方式的特殊性,有针对性地制定社区高血压的防治策略。方法:分析资料来源于2016~2018三年深圳市南山区社区体检数据资料,以比较不同特征人群高血压患病率。用多元Logistic回归综合分析高血压危险因素,用OR值表明不同因素影响程度。所有统计分析都是在SPSS 22.0统计软件中完成。结果:深圳市南山区参与体检居民高血压患病率为37.5%,高于广东省水平且稍高于全国水平。男性高血压患病率为38.9%,女性为36.5%,男性患病率高于女性(χ2 = 103.258, P 2 = 13,697.071, P 2 = 13,296.238, P 2 = 2487.425, P 2 = 2451.140, P 2 = 1349.515, P 2 = 1328.383, P <0.001)。多因素Logistic回归分析结果显示,性别、年龄 ≥ 50岁、超重、肥胖、糖尿病是高血压的危险因素。结论:2016~2018年深圳市南山区18岁以上居民高血压患病率较高。性别、年龄 ≥ 50岁、超重、肥胖、糖尿病是高血压的危险因素。应结合该地区人群特点的特殊性有针对性地制定防治策略。
文摘Taking Nanshan District,Shenzhen as an example,the paper studies the influencing factors of residential rental price via hedonic price model.The hedonic price index system is constructed and relevant characteristic variables are selected from the perspectives of building characteristics,location characteristics,neighborhood characteristics and rental characteristics.The residential rental data in the second half of 2020 are analyzed by multi-factors linear regression,and hedonic price model of house lease in Nanshan District is obtained to analyze the inherent law of residential rental price structure in this area.
