CAJ | 학술논문

目的研究一个预测模型,用于社区居家老年人跌倒筛查,并量化活动能力与跌倒的关系.方法随机选取北京四个社区65岁以上老年人144例,根据过去1年是否跌倒分为跌倒组和非跌倒组,其中跌倒组50例,非跌倒组94例.对两组受试者进行功能性步态测试(FGA)、Berg平衡量表(BBS)评定、功能性伸展测试(FRT)、感觉整合和平衡的临床改良测试(CISIB)、单腿站立(OLS)、记时起立行走实验(TUGT)、10米步行时间,功能性伸展实验.跌倒组和非跌倒组之间各项测试的差异进行分析,除了睁眼、闭眼平地站立和睁眼抬头平地站立外,其余均具有统计学差异,并对其进行logistic回归分析.结果 2组受试者除睁眼平地站立、闭眼平地站立和睁眼抬头平地站立外,其余各项测试组间比较,差异均有统计学意义(P＜0.05).Logistic模型结果显示,FGA总分和mCISIB中的睁眼站立海绵垫上对跌倒的预测最有意义,其中敏度性为80％,特异度为74.2％.FGA和睁眼站立海绵垫上的敏感度和特异度分别为76％,74.2％和56％,81.6％.模型的受试者工作特征曲线(ROC曲线)下面积为0.845.结论该模型可用于社区居家健康老年人跌倒的筛查,预测社区老年人跌倒的敏感性优于FGA和睁眼站立海绵垫上,特异性与FGA相似.量化社区居家老年人活动能力与跌倒的关系,为跌倒预防提供数据.
목적 연구일개예측모형,용우사구거가노년인질도사사,병양화활동능력여질도적관계.방법 수궤선취북경사개사구65세이상노년인144례,근거과거1년시부질도분위질도조화비질도조,기중질도조50례,비질도조94례.대량조수시자진행공능성보태측시(FGA)、Berg평형량표(BBS)평정、공능성신전측시(FRT)、감각정합화평형적림상개량측시(CISIB)、단퇴참립(OLS)、기시기립행주실험(TUGT)、10미보행시간,공능성신전실험.질도조화비질도조지간각항측시적차이진행분석,제료정안、폐안평지참립화정안태두평지참립외,기여균구유통계학차이,병대기진행logistic회귀분석.결과 2조수시자제정안평지참립、폐안평지참립화정안태두평지참립외,기여각항측시조간비교,차이균유통계학의의(P＜0.05).Logistic모형결과현시,FGA총분화mCISIB중적정안참립해면점상대질도적예측최유의의,기중민도성위80％,특이도위74.2％.FGA화정안참립해면점상적민감도화특이도분별위76％,74.2％화56％,81.6％.모형적수시자공작특정곡선(ROC곡선)하면적위0.845.결론 해모형가용우사구거가건강노년인질도적사사,예측사구노년인질도적민감성우우FGA화정안참립해면점상,특이성여FGA상사.양화사구거가노년인활동능력여질도적관계,위질도예방제공수거.
Objective To establish a model predicting the fall risk of healthy,community-dwelling elderly persons and to quantify the relationship between physical function and fall risk.Methods One hundred and fortyfour healthy subjects aged ≥65 years and living independently were recruited.Fifty were classified as fallers and 94 as non-fallers according to their history of falling during the previous year.Functional gait assessment (FGA),the Berg balance scale (BBS),a functional reach test (FRT),a modified clinical test of sensory integration for balance (CISIB),one-leg stance,the timed up and go test (TUGT) and the 10 meter walk test were used to distinguish the fallers from the non-fallers,and the significant variables were subjected to logistic regression analysis.Results Each of the tests generated significant differences between non-fallers and fallers except for standing in place with the eyes open and closed.Logistic regression showed that total FGA scores and the results of standing on a foam surface with the eyes open (FOEO) significantly predicted faller status with 80％ sensitivity and 74.2％ specificity.Conclusions This model can be used to predict fall risk for healthy,community-dwelling elderly persons.It is more sensitive than the FGA and FOEO and similarly specific.