Department of Family & Generations, International Institute for Population Sciences, Mumbai, 400088, India.
School of Humanities and Social Sciences, Indian Institute of Technology, Indore, 453552, India.
BMC Psychiatry. 2024 Jan 22;24(1):60. doi: 10.1186/s12888-023-05480-7.
In India, the prevalence of depression among older adults dealing with multiple health conditions varies between rural and urban areas due to disparities in healthcare access and cultural factors. The distinct patterns observed underscore the necessity for tailored research and interventions to address mental health inequalities among multimorbid older patients in diverse geographic contexts.
This study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total of 7,608 adults aged ≥ 60 years who were diagnosed with two or more chronic conditions (such as hypertension, diabetes, cancer, chronic lung disease, chronic heart diseases, stroke, bone/joint disease, any neurological or psychiatric diseases, and high cholesterol) were included in this study. Descriptive statistics, bivariate analysis, logistic regression estimates, and Fairlie decomposition method were used to accomplish the study's objectives.
The prevalence of depression among older adults with multimorbidity was 9.48% higher in rural areas (38.33%) than in urban areas (28.85%).. Older adults with multimorbidity belonging to the scheduled caste group were 40% more likely to experience depression. Moreover, those with multimorbidity and any form of disability in activities of daily living (ADL) were 93% more likely to experience depression than those without disability, whereas those with multimorbidity and perceived good general health were 65% less likely to suffer from depression than those with poor self-perceived health. Additionally, decomposition analysis revealed that education (35.99%), caste status (10.30%), IADL disability (19.30%), and perceived discrimination (24.25%) were the primary factors contributing to the differences in depression prevalence among older adults with multimorbidity between rural and urban areas.
We found significant rural-urban differences in depression among older Indians with multimorbidity. The findings underscore the need for targeted interventions that address the unique challenges faced by older patients in rural areas, including lack of social capital, discrimination, and limited resources that enable access to healthcare services. Policymakers and healthcare professionals must collaboratively design and implement effective strategies to improve the mental health and overall well-being of rural older adults, particularly those with multiple comorbidities.
在印度,由于医疗保健获取和文化因素的差异,农村和城市地区老年人群体中患有多种健康状况的人群的抑郁患病率存在差异。观察到的明显模式强调了在不同地理背景下,针对患有多种慢性疾病的老年患者的心理健康不平等问题,需要进行针对性的研究和干预。
本研究使用了来自印度纵向老龄化研究(LASI)第 1 波(2017-18 年)的数据。共纳入了 7608 名年龄在 60 岁及以上且被诊断患有两种或多种慢性疾病(如高血压、糖尿病、癌症、慢性肺部疾病、慢性心脏病、中风、骨骼/关节疾病、任何神经或精神疾病以及高胆固醇)的成年人。本研究采用描述性统计、双变量分析、逻辑回归估计和费雷尔分解方法来实现研究目标。
患有多种慢性疾病的农村老年人群体的抑郁患病率(38.33%)比城市老年人群体(28.85%)高 9.48%。属于在册种姓群体的患有多种慢性疾病的老年人群体发生抑郁的可能性增加 40%。此外,与没有残疾的人相比,日常生活活动(ADL)存在任何形式残疾的患有多种慢性疾病的人群发生抑郁的可能性增加 93%,而与自我感知健康状况不佳的人相比,自我感知健康状况良好的患有多种慢性疾病的人群发生抑郁的可能性降低 65%。此外,分解分析表明,教育(35.99%)、种姓地位(10.30%)、IADL 残疾(19.30%)和感知歧视(24.25%)是导致农村和城市地区患有多种慢性疾病的老年人群体抑郁患病率差异的主要因素。
我们发现印度患有多种慢性疾病的老年人群体中存在显著的城乡抑郁差异。这些发现强调了需要采取有针对性的干预措施,以解决农村地区老年患者面临的独特挑战,包括缺乏社会资本、歧视和有限的资源,这些因素限制了他们获得医疗保健服务的机会。政策制定者和医疗保健专业人员必须共同设计和实施有效的策略,以改善农村老年人群体的心理健康和整体幸福感,特别是那些患有多种合并症的人群。