作者: Jennifer Marie Fabre
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摘要: Identifying risk factors and those at for falls is necessary. The first purpose of the dissertation was to validate Comprehensive Falls Risk Screening Instrument (CFRSI) that weights includes subscale scores history, physical, vision, medication, environment, a total score. CFRSI score compared scores, physical activity, function, health-related quality life (HRQL), history (Study 1). second determine associations between score, race, education, income 2). Data were collected screenings conducted 10 community organizations with 286 older adults (M age=74.2 years, SD=10.0, 75.9% female, 52.9% White/Caucasian, 52.4% low-income status, 43.1% low educational level). The associated all (r=.25, p<.01 r=.69, p<.01), activity (r=-.30, function (r=.30, HRQL (r=-.44, r=-.24, p=.03). Fallers (n=90) had higher (M=41.03, SD=9.38) than non-fallers (n=188; M=34.06, SD=10.05), t(276)=5.53, p<.001). Discriminant analysis indicated most important predictor falling status (i.e., fallers non-fallers) (r=.96). A 2x2x2 factorial ANOVA only revealed significant main effect education (F[1,205]=10.19, p=.002), indicating greater participants lower level (M=41.1) (M=34.5). ANCOVA individuals reported (M=39.2) high-income (M=34.5) when controlling race (F[1,204]=10.4, p=.001,c2=.05). There no differences by (÷2[1,N=262]=.03, p=.86) or (÷2[1,N=212]=.38, p=.54), but there (÷2[1,N=267]=6.44, p=.0). White/Caucasians (63.2%) more likely fall African American/Black/Others (36.8%). Results provide evidence construct validity sociodemographic such as income, are identifying falls, determining applicability screening instruments, implementing reduction programs.