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使用竞争风险分析研究不同年龄段印度成年人的慢性病发病情况。

Examining chronic disease onset across varying age groups of Indian adults using competing risk analysis.

机构信息

Department of Population and Development, International Institute for Population Sciences, Mumbai, 400088, India.

出版信息

Sci Rep. 2023 Apr 10;13(1):5848. doi: 10.1038/s41598-023-32861-5.

Abstract

In low-and-middle-income countries, people develop chronic diseases at a younger age, leading to health-and-economic loss. Estimates of the age of onset of chronic disease provide evidence for policy intervention, but in the Indian context, evidence is limited. The present study aims to explore the onset of seven chronic diseases across adults and the elderly, along with the prognostic factors of chronic disease onset. Using Wave 1 data of the Longitudinal Ageing Study in India (LASI), we estimated the statistical distributions, the median age at onset, and Loglogistic and Weibull accelerated failure time model to understand the onset of seven medically diagnosed self-reported chronic diseases across age groups. We also obtained the sub-distribution hazard ratio (SHR) from the Fine-Gray model to determine the risk of contracting selected chronic diseases in a competing risk setup. The seven chronic diseases- hypertension, diabetes, lung disease, heart disease/stroke, arthritis, neurological disease, and cancer- were developing early, especially in individuals aged 45-54 and 55-64. Arthritis risk was higher in rural areas, and physically active adults and elderly were 1.32 times (95% CI 1.12-1.56) more likely to develop heart disease/stroke. The emerging evidence of the early onset of neurological diseases in middle-aged adults (i.e., among the 45-54 age group) reminds us of the need to reinforce a balance between the physical and mental life of individuals. The early onset of chronic diseases in the independent and working-age category (45-54 years) can have many social and economic implications. For instance, it can create a greater healthcare burden when these individuals grow older with these diseases. Further, disease-specific interventions would be helpful in reducing future chronic disease burden.

摘要

在中低收入国家,人们在更年轻时就患上慢性病,导致健康和经济损失。慢性病发病年龄的估计为政策干预提供了证据,但在印度,这方面的证据有限。本研究旨在探讨成年人和老年人中七种慢性病的发病情况,以及慢性病发病的预测因素。本研究使用印度纵向老龄化研究(LASI)的第 1 波数据,我们估计了统计分布、发病中位年龄以及 Loglogistic 和 Weibull 加速失效时间模型,以了解七个经医学诊断的自我报告慢性病在不同年龄组的发病情况。我们还从 Fine-Gray 模型中获得了亚分布风险比(SHR),以确定在竞争风险设置下患有选定慢性病的风险。七种慢性病-高血压、糖尿病、肺部疾病、心脏病/中风、关节炎、神经疾病和癌症-发病较早,尤其是在 45-54 岁和 55-64 岁的人群中。农村地区关节炎风险较高,而身体活跃的成年人和老年人患心脏病/中风的风险增加 1.32 倍(95%置信区间 1.12-1.56)。在中年成年人(即 45-54 岁年龄组)中神经疾病早期发病的新证据提醒我们,需要在个人的身心健康之间取得平衡。慢性病在独立和工作年龄段(45-54 岁)的早期发病可能会产生许多社会和经济影响。例如,当这些人随着年龄的增长患有这些疾病时,可能会增加更大的医疗保健负担。此外,针对特定疾病的干预措施将有助于减轻未来的慢性病负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb7/10086019/cca203e069b9/41598_2023_32861_Fig1_HTML.jpg

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