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45 岁及以上成年人的抑郁状况在次国家级别的模式和影响因素:来自印度纵向老龄化研究第一波的发现。

Sub-national patterns and correlates of depression among adults aged 45 years and older: findings from wave 1 of the Longitudinal Ageing Study in India.

机构信息

International Institute for Population Sciences, Mumbai, India; National Council of Applied Economic Research, Delhi, India.

Department of Health Service and Population Research, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, UK.

出版信息

Lancet Psychiatry. 2022 Aug;9(8):645-659. doi: 10.1016/S2215-0366(22)00186-9.

Abstract

BACKGROUND

Depression is a major public health challenge linked with several poor health outcomes and disabilities among adults aged 45 years and older in India. We aimed to describe the prevalence of depression and its association with a variety of sociodemographic correlates and co-existing health conditions for this age group in India and its states.

METHODS

In this prospective cohort study, data from wave 1 (baseline) of the Longitudinal Ageing Study in India were used to estimate the national and subnational state level age-standardised prevalence of depression-major depressive episodes-using the internationally validated Composite International Diagnostic Interview-Short Form (CIDI-SF) scale. Hierarchical mixed effect multivariate logistic regression models were used to study the sociodemographic correlates and co-existing health conditions of major depressive episodes among the nationally representative sample of 72 250 adults aged 45 years and older from 35 states or union territories (except the state of Sikkim). Associations between depression and self-rated health, co-morbid conditions, functional health, and life satisfaction measures were also examined.

FINDINGS

A total of 40 335 (58·3%) females and 29 407 (41·7%) males aged 45 to 116 years (median age 58 years) participated. The overall age-standardised prevalence of depression based on CIDI-SF scale was 5·7% (95% CI 5·5-5·8) compared with 0·5% (0·5-0·6) self-reported prevalence of depression among adults aged 45 years and older in India. Wide sub-national variations were seen in depression prevalence, ranging from 0·8% (95% CI 0·3-1·3) in Mizoram state to 12·9% (11·6-14·2) in Madhya Pradesh. Prevalence was higher in females (6·3% [95% CI 6·1-6·6] vs 4·3% [4·1-4·6]) for India, and this higher prevalence was more pronounced in some of the northern states. The risk of depression was higher in those residing in rural areas, widowed, with no or low education, and in the poorest quintile. Depression showed a strong positive association with poor self-rated health (OR 2·39 [95% CI 2·21-2·59]; p<0·0001), with one or more limitations in the activities of daily living (ADL; OR 1·60 [1·46-1·75]; p<0·0001), instrumental ADL limitations (OR 1·51 [1·40-1·64]; p<0·0001), and low cognitive judgment of life satisfaction (OR 1·94 [95% CI 1·78-2·10]; p<0·0001).

INTERPRETATION

Despite the substantial burden, depression remains undiagnosed and strongly linked with poor health and wellbeing outcomes in adults aged 45 years and older in India. The ageing population of India and the subnational variations amplify the implications of this new evidence to address the substantial gaps in prevention and treatment of depression.

FUNDING

LASI was funded by the Ministry of Health and Family Welfare, Government of India, the National Institute of Ageing, USA and the United Nations Population Fund, India.

摘要

背景

抑郁症是一个重大的公共卫生挑战,与印度 45 岁及以上成年人的多种不良健康结果和残疾有关。我们旨在描述该年龄段人群在印度及其各州的抑郁患病率及其与多种社会人口学相关因素和共存健康状况的关联。

方法

在这项前瞻性队列研究中,使用来自印度纵向老龄化研究的第 1 波(基线)的数据,使用国际上经过验证的复合国际诊断访谈-简短形式(CIDI-SF)量表,估算了全国和各州的年龄标准化抑郁(主要抑郁发作)患病率。使用分层混合效应多变量逻辑回归模型,研究了全国代表性样本中来自 35 个邦或联邦属地(锡金邦除外)的 72,000 名 45 岁及以上成年人的主要抑郁发作的社会人口学相关因素和共存健康状况。还研究了抑郁与自评健康、合并症、功能健康和生活满意度衡量标准之间的关联。

结果

共有 40,335 名(58.3%)女性和 29,407 名(41.7%)男性年龄在 45 至 116 岁之间(中位年龄为 58 岁)参加了研究。基于 CIDI-SF 量表的总体年龄标准化抑郁患病率为 5.7%(95%CI 5.5-5.8),而印度 45 岁及以上成年人自我报告的抑郁患病率为 0.5%(0.5-0.6)。在印度,各邦之间的抑郁患病率存在广泛的差异,从米佐拉姆邦的 0.8%(95%CI 0.3-1.3)到中央邦的 12.9%(11.6-14.2)。女性的患病率(6.3%[95%CI 6.1-6.6])高于男性(4.3%[4.1-4.6]),这种较高的患病率在一些北部邦更为明显。居住在农村地区、丧偶、受教育程度低或处于最贫困五分位的人患抑郁症的风险较高。抑郁症与自评健康状况较差(OR 2.39[95%CI 2.21-2.59];p<0.0001)、日常生活活动(ADL)受限(OR 1.60[1.46-1.75];p<0.0001)、工具性 ADL 受限(OR 1.51[1.40-1.64];p<0.0001)和对生活满意度的认知判断较低(OR 1.94[95%CI 1.78-2.10];p<0.0001)呈显著正相关。

结论

尽管负担沉重,但抑郁症在印度 45 岁及以上成年人中仍然未得到诊断,并与较差的健康和幸福感结果密切相关。印度不断增长的老年人口以及各邦之间的差异,凸显了这一新证据的重要性,需要解决预防和治疗抑郁症方面的巨大差距。

资金

LASI 由印度政府的卫生和家庭福利部、美国国家老龄化研究所和联合国人口基金印度分部共同资助。

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