Predictors of Disability in Older African American Women with Osteoarthritis

描述（由申请人提供）：拟议研究的直接目标是调查可能导致60-85岁非裔美国妇女（AAW）功能限制和残疾的因素，特别关注患有骨关节炎（OA）的老年AAW。更广泛的长期目标是提供数据，为制定干预措施提供信息，以减少AAW的功能限制和残疾率;虽然目前的研究已经解决了墨西哥裔美国人和非西班牙裔白色妇女残疾的因素，但缺乏对AAW残疾过程的研究。功能和残疾的可能预测因素包括社会心理（对卫生保健提供者的信任）、环境（卫生保健和获得卫生保健方面的种族歧视）和生物（年龄和体重指数）因素。因此，本研究的具体目的是：（1）描述 生物学、心理社会学和环境因素以及60-85岁AAW OA患者的功能和残疾;（2）确定60-85岁AAW OA患者功能的预测因素;（3）确定60-85岁AAW OA患者残疾的预测因素。数据将通过邮寄的问卷收集。所使用的工具将包括人口数据、歧视经历工具、对弗里吉亚人的信任量表、消费者对保健提供者和系统的评估调查、多维健康评估问卷以及克雷格残疾评估和报告技术。分析将包括皮尔逊相关性、多重和分层回归。

DESCRIPTION (provided by applicant): The immediate goal of the proposed research is to investigate factors that may contribute to functional limitations and disability in African America women (AAW) 60-85 years of age, focusing specifically on older AAW with osteoarthritis (OA). The broader long-term goal is to provide data that will inform the development of interventions to decrease functional limitations and disability rates in AAW; although current research has addressed factors in the disablement of Mexican American and non-Hispanic White women, research on the disablement process in AAW is lacking. The possible predictors of function and disability include psychosocial (trust in health care providers), environmental (racial discrimination in health care and health care access), and biological (age and body mass index) factors. The specific aims of this research are therefore: (1) to describe the relationship between biological, psychosocial, and environmental factors and function and disability in AAW 60-85 years of age with OA; (2) to identify predictors of function in AAW 60-85 years of age with OA; and (3) to identify predictors of disability in AAW 60-85 years of age with OA. Data will be collected via questionnaires that can be mailed in. The instruments used will include demographic data, the Experiences of Discrimination Instrument, the Trust in Phrygians Scale, the Consumer Assessment of Health Care Providers and Systems Survey, the Multidimensional Health Assessment Questionnaire, and the Craig Handicap Assessment and Reporting Technique. Analyses will consist of Pearson correlations, and multiple and hierarchical regressions.