目的：了解智能手机健康管理软件对社区人群健康水平和生命质量的干预效果。方法于2013年10月，采用随机数字表法在湖南省长沙市岳麓区望月湖社区抽取100名使用智能手机的居民。将抽取的数字从小到大排序，以抽到前50号数字的居民为干预组，以抽到后50号数字的居民为对照组，剔除调查过程中问卷填写缺失>20%的居民，最终确定干预组居民43名，对照组居民46名。对照组居民坚持已有生活方式，研究期间的任何健康问题可随时咨询本研究的研究人员，研究人员针对问题给予专业、细致的指导；干预组居民的智能手机安装“健走伙伴”“乐动力”等计步器健康管理软件，按研究人员设置的运动目标完成每天运动量。干预时间均为6个月，比较两组居民干预前后的各项生理指标和简明生活质量量表（ SF-36）得分。结果（1）干预前，两组居民收缩压、空腹血糖（FPG）、总胆固醇（TC）、高密度脂蛋白胆固醇（HDL-C）、低密度脂蛋白胆固醇（LDL-C）及BMI比较，差异无统计学意义（P>0.05）；干预后，两组居民收缩压、FPG、TC、HDL-C、LDL-C及BMI比较，差异有统计学意义（P<0.05）；干预后，干预组居民的收缩压、TC、HDL-C、LDL-C及BMI与干预前比较，差异有统计学意义（P<0.05）。（2）干预前，两组居民生理功能（ PF）、生理职能（ RP）、躯体疼痛（ BP）、总体健康（ GH）、活力（ VT）、社会功能（SF）、情感职能（RE）、精神健康（MH）及健康变化指标（HT）得分比较，差异无统计学意义（P >0.05）；干预后两组居民PF、RP、BP、GH、VT、SF、RE、MH及HT得分比较，差异有统计学意义（ P<0.05）；干预后，干预组居民的PF、RP、GH、VT、SF、RE、MH及HT得分与干预前比较，差异有统计学意义（ P<0.05）。结论智能手机健康管理软件可以改善社区人群的健康水平，提高其生活质量。%Objective To investigate the intervention effect of health management software of smartphone on the health level and life quality of community residents. Methods In October of 2013,we randomly enrolled 100 residents who used smartphone from Wangyuehu Community of Yuelu District in Changsha by using random number table. The residents were ranked by the numbers from small to large. The 50 subjects ranked first were assigned into intervention group,and the latter 50 subjects were assigned into control group. The subjects whose questionnaires had more than 20% of content missing were excluded. So we included 43 subjects in the intervention group and 46 subjects the in the control group at last. The subjects in the control group remained their original life style,and could ask researchers any health problems any time during the intervention period,and researcher would give them professional and detailed guidance on the problems. The subjects of intervention group had their smartphones installed with pedometer softwares, which were set with daily target of exercise amount by researchers. The intervention lasted for 6 months. The two groups were compared by physiological indicators and the scores of SF-36 before and after intervention. Results (1)Before intervention,the two groups were not significantly different(P >0. 05)in systolic pressure,FPG,TC,HDL-C,LDL-C and BMI;after intervention,the two groups were significantly different(P<0. 05) in systolic pressure,FPG,TC,HDL -C,LDL -C and BMI;after intervention,the intervention group had higher systolic pressure,TC,HDL-C,LDL-C and BMI than those before intervention;(2) Before intervention,the two groups were not significantly different(P>0. 05)in PF,RP,BP,GH,VT,SF,RE,MH and HT;after intervention,the two groups were significantly different(P<0. 05)in PF,RP,BP,GH,VT,SF,RE,MH and HT;after intervention,the intervention group had higher(P<0. 05)PF,RP,GH,VT,SF,RE,MH and HT than those before intervention. Conclusion Health management software of smartphone is effective in improving the health level and life quality of community residents.
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