Mapping multimorbidity from diabetes mellitus and its association with depressive symptoms among older people of India: a cross-sectional study from a nationally representative survey

IF 0.7 4区 医学 Q4 ENDOCRINOLOGY & METABOLISM
Gayatri Khanal, Y. Selvamani, J. Kezia Angeline
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Abstract

Background

India is the second major epicenter of diabetes mellitus (DM) prevalence after China and predicted to overtake China by 2045. DM is associated with multimorbidity which has tremendous impact on mental health. However, little is known about patterns of morbidities and their associations with depression.

Objective

The purpose of this article is to ascertain multimorbidity in the DM population and to assess the relationship between multimorbidity and depressive symptoms.

Methods

A cross-sectional analysis was conducted using data from the “Longitudinal Ageing Study in India (LASI),” a national representative survey. Regression analysis was used to investigate the relationship between multimorbidity and depressive symptoms. The mean difference of depressive symptoms with multimorbidity was calculated using one-way ANOVA.

Results

The total population included in the study was 8855. Around 72.8% had multimorbidity, out of which 43%, 20.4%, and 9.4% fall under single, double, and triple or more than triple morbidity category, respectively. The odds of having depression in single morbidity (AOR, 1.24), double morbidity (AOR, 1.34), and triple or more morbidity (AOR, 1.51), poor self-rated health (AOR, 1.45), unenrolled in health insurance policy (AOR, 1.21), hospitalized in the past 12 months (AOR, 1.12), and taking insulin injections (AOR, 1.24) were significantly higher. There were significant mean differences in depression with different categories of multimorbidity conditions (F = 19.63, p = 0.000).

Conclusion

Higher rate of multimorbidity among DM patients was recorded. Multimorbidity substantially increases the risk of acquiring depression. Timely identification and appropriate management multimorbidity of diabetes are important for reducing to incidence of depression and better quality of life and functionality.

绘制印度老年人因糖尿病导致的多病及其与抑郁症状的关系图:一项全国代表性调查的横断面研究
背景印度是仅次于中国的第二大糖尿病(DM)流行中心,预计到 2045 年将超过中国。糖尿病与多病症相关,对心理健康有巨大影响。然而,人们对发病模式及其与抑郁症的关系知之甚少。本文旨在确定 DM 患者的多病症发病率,并评估多病症发病率与抑郁症状之间的关系。方法 使用一项具有全国代表性的调查--"印度老龄化纵向研究(LASI)"的数据进行横断面分析。采用回归分析法研究了多病症与抑郁症状之间的关系。使用单因素方差分析计算了抑郁症状与多病症的平均差异。约72.8%的人患有多病,其中43%、20.4%和9.4%的人分别属于单病、双病和三病或三病以上。在单一发病率(AOR,1.24)、双重发病率(AOR,1.34)和三重或三重以上发病率(AOR,1.51)、自评健康状况差(AOR,1.45)、未参加医疗保险(AOR,1.21)、过去 12 个月住院(AOR,1.12)和注射胰岛素(AOR,1.24)中,患抑郁症的几率明显更高。不同类别的多病情况在抑郁方面存在明显的平均差异(F = 19.63,P = 0.000)。多病共存大大增加了患抑郁症的风险。及时发现和适当管理糖尿病多病症对于降低抑郁症发病率、提高生活质量和功能非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
109
审稿时长
6 months
期刊介绍: International Journal of Diabetes in Developing Countries is the official journal of Research Society for the Study of Diabetes in India. This is a peer reviewed journal and targets a readership consisting of clinicians, research workers, paramedical personnel, nutritionists and health care personnel working in the field of diabetes. Original research articles focusing on clinical and patient care issues including newer therapies and technologies as well as basic science issues in this field are considered for publication in the journal. Systematic reviews of interest to the above group of readers are also accepted.
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