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，特别是老年AAW合并骨关节炎(OA)。更广泛的长期目标是提供数据，为制定干预措施以降低AAW的功能限制和伤残率提供信息；尽管目前的研究已经解决了墨西哥裔美国人和非西班牙裔白人妇女致残的因素，但AAW的致残过程缺乏研究。功能和残疾的可能预测因素包括心理社会(对卫生保健提供者的信任)、环境(卫生保健和卫生保健机会方面的种族歧视)和生物因素(年龄和体重指数)。因此，本研究的具体目的是：(1)描述两者之间的关系 生物、心理、社会和环境因素以及60-85岁AAW患者的功能和残疾；(2)确定60-85岁AAW患者功能的预测因素；(3)确定AAW 60-85岁患者残疾的预测因素。数据将通过可邮寄的调查问卷收集。使用的工具将包括人口数据、歧视工具的经验、对弗里吉安人的信任量表、消费者对保健提供者的评估和系统调查、多层面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、多重和等级回归。

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.