Department of Nursing, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
School of Nursing, Faculty of Health, York University Centre for Aging Research and Education, York University, Toronto, Ontario, Canada.
BMC Geriatr. 2024 Apr 30;24(1):383. doi: 10.1186/s12877-024-04947-w.
Understanding the predictors of functional status can be useful for improving modifiable predictors or identifying at-risk populations. Researchers have examined the predictors of functional status in older adults, but there has not been sufficient study in this field in older adults with multiple chronic conditions, especially in Iran. Consequently, the results of this body of research may not be generalizable to Iran. Therefore, this study was conducted to determine the predictors of functional status in Iranian older adults with multiple chronic conditions.
In this cross-sectional study, 118 Iranian older adults with multiple chronic conditions were recruited from December 2022 to September 2023. They were invited to respond to questionnaires inquiring about their demographic and health information, basic activities of daily living (BADL) and instrumental activities of daily living (IADL), depression and cognitive status. The predictors included age, gender, marital status, education, number of chronic conditions, and depression. Descriptive and analytical statistical tests (univariate and multiple regression analysis) were used to analyze the data.
The majority of participants were married (63.9%) and women (59.3%). Based on the results of the multiple regression analysis, age (B=-0.04, P = 0.04), depression (B=-0.12, P = 0.04), and IADL (B = 0.46, P < 0.001) were significant predictors for functional status in terms of BADL. Also, marital status (B=-0.51, P = 0.05), numbers of chronic conditions (B=-0.61, P = 0.002), and BADL (B = 0.46, P < 0.001) were significant predictors for functional status in terms of IADL.
The findings support the predictive ability of age, marital status, number of chronic diseases, and depression for the functional status. Older adults with multiple chronic conditions who are older, single, depressed and with more chronic conditions number are more likely to have limitations in functional status. Therefore, nurses and other health care providers can benefit from the results of this study and identify and pay more attention to the high risk older adult population.
了解功能状态的预测因素对于改善可改变的预测因素或识别高危人群可能很有用。研究人员已经研究了老年人功能状态的预测因素,但在患有多种慢性病的老年人中,这一领域的研究还不够充分,尤其是在伊朗。因此,这一领域的研究结果可能不适用于伊朗。因此,本研究旨在确定伊朗患有多种慢性病的老年人功能状态的预测因素。
在这项横断面研究中,2022 年 12 月至 2023 年 9 月期间,从伊朗招募了 118 名患有多种慢性病的老年人。他们被邀请回答调查问卷,询问他们的人口统计学和健康信息、基本日常生活活动(BADL)和工具性日常生活活动(IADL)、抑郁和认知状况。预测因素包括年龄、性别、婚姻状况、教育程度、慢性疾病数量和抑郁状况。采用描述性和分析性统计检验(单变量和多元回归分析)对数据进行分析。
大多数参与者已婚(63.9%)和女性(59.3%)。根据多元回归分析的结果,年龄(B=-0.04,P=0.04)、抑郁(B=-0.12,P=0.04)和 IADL(B=0.46,P<0.001)是 BADL 功能状态的显著预测因素。此外,婚姻状况(B=-0.51,P=0.05)、慢性疾病数量(B=-0.61,P=0.002)和 BADL(B=0.46,P<0.001)是 IADL 功能状态的显著预测因素。
研究结果支持年龄、婚姻状况、慢性疾病数量和抑郁对功能状态的预测能力。患有多种慢性病、年龄较大、单身、抑郁和慢性疾病数量较多的老年人更有可能出现功能状态受限。因此,护士和其他医疗保健提供者可以从这项研究的结果中受益,并识别和更多地关注高危老年人群。