我国三城市老年前期人群亚健康状况及影响因素研究  

Subhealth Status of Presenile Residents in Three Cities in China and Influencing Factors

作　　者：陈政弘[1] 孙冬玲[1,2] 何俐[3] 刘运海[4] 王翩[3] 徐吉[4] 闫宇翔[5] 王文志[1,2] 

机构地区：[1]首都医科大学北京市神经外科研究所,北京市100050 [2]首都医科大学临床流行病学北京市重点实验室,北京市100050 [3]四川大学华西医院神经内科 [4]中南大学湘雅医院神经内科 [5]首都医科大学公共卫生学院

出　　处：《中国全科医学》2016年第4期408-413,共6页Chinese General Practice

基　　金：国家科技支撑计划课题(2012BAI37B03)

摘　　要：目的了解我国三城市(北京市、长沙市、成都市)老年前期人群的亚健康状况,并探讨其影响因素。方法于2013年12月—2014年4月,采用整群随机抽样法在北京市、长沙市、成都市各抽取两个社区,共1 163例老年前期居民,以其中问卷填写有效的1 026例为研究对象。采用亚健康状态评价问卷(SHSQ-25)对纳入居民的健康状态进行评价,比较并分析不同健康状态老年前期居民的一般资料、体格检查指标及实验室检测指标。结果三城市老年前期居民的亚健康状态检出率为53.51%(549/1 026),不同性别比较差异有统计学意义(P<0.05)。不同劳动强度、1周内服药情况及不同舒张压、空腹血糖(FPG)、三酰甘油(TG)男性老年前期居民的亚健康状态检出率比较,差异有统计学意义(P<0.05);不同年龄、文化程度、职业、婚姻状况、吸烟情况、饮酒情况、体育锻炼情况及不同BMI、收缩压、总胆固醇(TC)、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C)男性老年前期居民的亚健康状态检出率比较,差异无统计学意义(P>0.05)。不同年龄、劳动强度、1周内服药情况及不同FPG、TC女性老年前期居民的亚健康状态检出率比较,差异有统计学意义(P<0.05);不同文化程度、职业、婚姻状况、吸烟情况、饮酒情况、体育锻炼情况及不同BMI、收缩压、舒张压、TG、LDL-C、HDL-C女性老年前期居民的亚健康状态检出率比较,差异无统计学意义(P>0.05)。二分类Logistic回归分析显示,劳动强度、1周内服药情况、FPG及TG对男性老年前期居民亚健康状态的影响有统计学意义(P<0.05);年龄、劳动强度、1周内服药情况及FPG对女性老年前期居民亚健康状态的影响有统计学意义(P<0.05)。结论三城市老年前期居民的亚健康状态检出率较高,女性高于男性。劳动强度、1周内服药情况、FPG及TG是男性老年前期居民亚健康状态的影响因素,年Objective To investigate the subhealth status of presenile residents in three cities（ Beijing,Changsha and Chengdu） in China and its influencing factors. Methods From December 2013 to April 2014,we selected 2 communities in Beijing,Changsha and Chengdu using cluster random sampling method. A total of 1 163 presenile residents were recruited,and1 026 residents who completed effective questionnaire were enrolled in the research. Using SHSQ-25 questionnaire,the health status of the subjects was evaluated,and comparison was made in general data,physical examination indexes and laboratory indexes among subjects with different health status. Results The detection rate of subhealth was 53. 51%（ 549 /1 026）,and the two genders were significantly in the detection rate（ P 〈0. 05）. Male subjects with different work intensity, medication condition within one week, diastolic pressure, FPG level and TG level were significantly different in the detection rate of subhealth（ P 〈0. 05）; male subjects with different age,education level,occupation,marital status,smoking status,alcohol consumption,physical exercise and different levels of BMI,systolic pressure,TC,LDL-C and HDL-C were not significantly different in the detection rate of subhealth（ P 〈0. 05）. Female subjects with different age,work intensity,medication condition within one week,FPG level and TC level were significantly different in the detection rate of subhealth（ P 〈0. 05）; females subjects with different education degree,occupation,marital status,smoking status,alcohol cosumption,physical exercise,and different levels of BMI,systolic pressure,diastolic pressure,TG,LDL-C and HDL-C were not significantly different in the detection rate of subhealth（ P 〈0. 05）. Binary logistic regression analysis showed that work intensity, medication condition within one week,FPG and TG had significant influence on the health status of male subjects（ P 〈0. 05）; age,work intensity,medication condition within one week and FPG had significant in

关 键 词：亚健康状态 老年前期人群 流行病学研究 影响因素分析 

分 类 号：R197[医药卫生—卫生事业管理]