Objectives:The objective of this study was to examine the falls efficacy of older adults in nursing homes and the related predictors of falling.Methods:A sample of 317 older adults was recruited from 18 nursing homes ...Objectives:The objective of this study was to examine the falls efficacy of older adults in nursing homes and the related predictors of falling.Methods:A sample of 317 older adults was recruited from 18 nursing homes in the Fujian province of China.The Modified Falls Efficacy Scale(MFES)and Kessler Psychological Distress Scale(K10)were employed to collect data.Results:The falls efficacy of older adults was moderate(7.80±1.17).The falls efficacy questionnaire item“Get dressed and undressed”scored the highest(9.12±1.440),while“Crossing roads”scored the lowest(5.77±3.371).Multiple regression analysis demonstrated that mental health status,degree of self-care,age and gender were each predictors of the falls efficacy of older adults.Conclusions:Falls efficacy enhancing programs for nursing home residents should take mental health status,degree of self-care,age and gender into account.展开更多
基金This study was supported by Chinese Nursing Association Research Fund Project(ZHKY201405).
文摘Objectives:The objective of this study was to examine the falls efficacy of older adults in nursing homes and the related predictors of falling.Methods:A sample of 317 older adults was recruited from 18 nursing homes in the Fujian province of China.The Modified Falls Efficacy Scale(MFES)and Kessler Psychological Distress Scale(K10)were employed to collect data.Results:The falls efficacy of older adults was moderate(7.80±1.17).The falls efficacy questionnaire item“Get dressed and undressed”scored the highest(9.12±1.440),while“Crossing roads”scored the lowest(5.77±3.371).Multiple regression analysis demonstrated that mental health status,degree of self-care,age and gender were each predictors of the falls efficacy of older adults.Conclusions:Falls efficacy enhancing programs for nursing home residents should take mental health status,degree of self-care,age and gender into account.