Brimavandi Mina, Abbasi Parvin, Khaledi-Paveh Behnam, Salari Nader
Department of Nursing, Student Research Committee Kermanshah University of Medical Sciences Kermanshah Iran.
Department of Nursing, School of Nursing and Midwifery Kermanshah University of Medical Sciences Kermanshah Iran.
Health Sci Rep. 2023 Aug 17;6(8):e1503. doi: 10.1002/hsr2.1503. eCollection 2023 Aug.
In recent years, around 30% of all mortalities worldwide has been related to cardiovascular disease (CVD). The most important predictor solution of cardiovascular events is enhancing medication adherence. Meanwhile, the main reason behind development of physical disorders among the elderly is depression. In this regard, the present research was performed to determine the relationship between depression and medication adherence among the elderly suffering from CVD.
A cross-sectional study was done via an analytical approach on 188 elderlies fulfilling the inclusion criteria. The participants were chosen through convenience nonrandomized sampling from March to July 2022. The data were collected through demographic and healthcare information form plus Madanloo chronic disease medication adherence and geriatric depression scale. The analysis of the data was done by SPSS 26 plus Stata 14.2.
The mean depression score was 5.6(4.3) and the mean score of medication adherence in the elderlies was 168.03(23.85). The prevalence of depression was higher in women than in men ( = 0.015), and the elderlies differing from heart failure reported the minimum extent of medication adherence. The findings obtained from analysis of variance showed that age, level of education, and monthly level of income were among the effective demographic factors in the extent of depression and medication adherence ( < 0.05). Meanwhile, 26% of changes in medication adherence can be attributed to depression. Further, the results of the multiple linear regression model reported that depression, age, and polypharmacy are among the predictors of medication adherence.
A weak to moderate relationship existed between depression and medication adherence among these elderlies. Given the growing elderly population, the importance of depression, and lack of medication adherence in incidence of CVD events, it is recommended to train the healthcare team to monitor the elderly regarding depression symptoms.
近年来，全球约30%的死亡与心血管疾病（CVD）有关。心血管事件最重要的预测解决方案是提高药物依从性。同时，老年人身体疾病发展的主要原因是抑郁症。因此，本研究旨在确定患有CVD的老年人抑郁症与药物依从性之间的关系。
采用分析方法对188名符合纳入标准的老年人进行横断面研究。参与者通过便利非随机抽样于2022年3月至7月选取。数据通过人口统计学和医疗保健信息表以及马丹卢慢性病药物依从性和老年抑郁量表收集。数据采用SPSS 26和Stata 14.2进行分析。
抑郁平均得分为5.6(4.3)，老年人药物依从性平均得分为168.03(23.85)。女性抑郁症患病率高于男性（P = 0.015），与心力衰竭不同的老年人药物依从性最低。方差分析结果表明，年龄、教育程度和月收入水平是影响抑郁程度和药物依从性的有效人口统计学因素（P < 0.05）。同时，药物依从性26%的变化可归因于抑郁症。此外，多元线性回归模型结果表明，抑郁症、年龄和多重用药是药物依从性的预测因素。
这些老年人的抑郁症与药物依从性之间存在弱至中度关系。鉴于老年人口不断增加、抑郁症的重要性以及CVD事件发生率中缺乏药物依从性，建议培训医疗团队对老年人的抑郁症状进行监测。
