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老年人印度人群的抑郁筛查。

Screening for depression in elderly Indian population.

机构信息

Department of Community Medicine, Kasturba Medical College, Manipal, Karnataka, India.

出版信息

Indian J Psychiatry. 2010 Apr;52(2):150-3. doi: 10.4103/0019-5545.64595.

DOI:10.4103/0019-5545.64595
PMID:20838503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2927885/
Abstract

BACKGROUND

The point prevalence of depressive disorders in the elderly population in India varies from 13 to 25%. Since the World Health Organization (five) Well-being Index (1998 version) is simple and easy to administer, an attempt is made to evaluate the Indian version of this instrument to identify depression in the elderly Indian community.

OBJECTIVES

(1) To determine the prevalence of depression among the elderly population of rural areas of Udupi district, Karnataka, India. (2) To determine the validity and reliability of WHO (five) Well-being Index (1998 version) as a screening instrument to identify depressive disorders in elderly population in this Indian setting.

MATERIALS AND METHODS

This cross-sectional study was conducted over a period of eight months (from March 1 to October 31, 2002) in the three taluks of Udupi, Kundapura, and Karkala; belonging to the Udupi district of South India. We selected 627 people in the age group of 60 years and above for the study. Simple random sampling, without replacement method, using the probability proportionate to size (PPS) technique was used. The WHO (five) well-being index (1998 version) was validated against the major International Classification of Diseases and Related Health Problems 10th Revision (ICD-10) depression inventory of mastering depression in primary care version 2.2. Proportions and their 95% confidence intervals were calculated and Kappa statistics was applied to determine the reliability of the screening instrument. P value<0.05 was considered statistically significant.

RESULTS

The prevalence of depression in elderly population was determined to be 21.7% (95% CI = 18.4 - 24.9). The Indian version of WHO-five well-being index (1998 version) showed a sensitivity of 97.0%, specificity of 86.4%, positive predictive value of 66.3% and an overall accuracy of 0.89. The Kappa statistics showed significantly high reliability of k = 0.71.

CONCLUSION

The Indian version of "WHO (five) Well-being Index (1998 version)" was found to be an effective instrument for identifying depression in elderly Indian community.

摘要

背景

印度老年人群中抑郁障碍的时点患病率为 13%至 25%。由于世界卫生组织(世卫组织)五维健康量表(1998 年版)简单易用,因此尝试对该工具的印度版本进行评估,以确定印度老年人群中抑郁的情况。

目的

(1)确定印度卡纳塔克邦乌杜皮县农村地区老年人群的抑郁患病率。(2)确定世卫组织五维健康量表(1998 年版)作为在印度这一环境中识别老年人群抑郁障碍的筛查工具的有效性和可靠性。

材料和方法

本横断面研究于 2002 年 3 月 1 日至 10 月 31 日在印度南部乌代浦县的乌杜皮、库达帕拉和卡尔卡拉三个 taluks 进行。我们选择了年龄在 60 岁及以上的 627 人进行研究。采用简单随机抽样,不替换方法,使用概率与大小成比例(PPS)技术。世卫组织五维健康量表(1998 年版)通过与主要的国际疾病分类第十版(ICD-10)初级保健掌握抑郁的相关健康问题 2.2 版抑郁清单进行验证。计算了比例及其 95%置信区间,并应用 Kappa 统计量确定了筛查工具的可靠性。P 值<0.05 被认为具有统计学意义。

结果

确定老年人群的抑郁患病率为 21.7%(95%置信区间=18.4-24.9)。印度版世卫组织五维健康量表(1998 年版)显示敏感性为 97.0%,特异性为 86.4%,阳性预测值为 66.3%,总准确率为 0.89。Kappa 统计量显示高度可靠的 k 值为 0.71。

结论

印度版“世卫组织五维健康量表(1998 年版)”被认为是识别印度老年人群中抑郁的有效工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6ec/2927885/0256fcb37702/IJPsy-52-150-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6ec/2927885/0256fcb37702/IJPsy-52-150-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6ec/2927885/0256fcb37702/IJPsy-52-150-g001.jpg

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本文引用的文献

1
Socio-cultural factors in late onset depression.晚年抑郁症的社会文化因素。
Indian J Psychiatry. 1982 Jul;24(3):268-73.
2
A study of psychiatric morbidity of the elderly population of a rural community in west bengal.一项关于西孟加拉邦农村社区老年人群精神疾病发病率的研究。
Indian J Psychiatry. 1997 Apr;39(2):122-9.
3
World health day 2001.2001年世界卫生日。
在评估慢性病患者在急诊科的心理健康时,快速评估工具的重要性。
Front Public Health. 2024 Mar 1;12:1258749. doi: 10.3389/fpubh.2024.1258749. eCollection 2024.
4
Depression and Its Associated Factors Among the Elderly Population in India: A Review.印度老年人口中的抑郁症及其相关因素:一项综述
Cureus. 2023 Jun 27;15(6):e41013. doi: 10.7759/cureus.41013. eCollection 2023 Jun.
5
High prevalence of mental disorders: a population-based cross-sectional study in the city of Ilam, Iran.精神障碍的高患病率:伊朗伊拉姆市一项基于人群的横断面研究。
Front Psychiatry. 2023 Jun 13;14:1166692. doi: 10.3389/fpsyt.2023.1166692. eCollection 2023.
6
The relationship between depression and risk of violence in portuguese community-dwelling older people.抑郁与葡萄牙社区老年人暴力风险的关系。
BMC Public Health. 2022 Jun 6;21(Suppl 2):2335. doi: 10.1186/s12889-022-13474-5.
7
Physical Environment vs. Social Environment: What Factors of Age-Friendliness Predict Subjective Well-Being in Men and Women?物理环境与社会环境:哪些老龄化友好因素能预测男性和女性的主观幸福感?
Int J Environ Res Public Health. 2021 Jan 19;18(2):798. doi: 10.3390/ijerph18020798.
8
Assessing mental well-being in a Sinhala speaking Sri Lankan population: validation of the WHO-5 well-being index.评估讲僧伽罗语的斯里兰卡人群的心理健康:世界卫生组织-5 幸福指数的验证。
Health Qual Life Outcomes. 2020 Sep 11;18(1):305. doi: 10.1186/s12955-020-01532-8.
9
Prevalence of depression among the elderly (60 years and above) population in India, 1997-2016: a systematic review and meta-analysis.1997-2016 年印度 60 岁及以上老年人抑郁症患病率的系统评价和荟萃分析。
BMC Public Health. 2019 Jun 27;19(1):832. doi: 10.1186/s12889-019-7136-z.
10
Mental Disorders Among Elderly People in Baghdad, Iraq, 2017.2017年伊拉克巴格达老年人的精神障碍
Inquiry. 2019 Jan-Dec;56:46958019845960. doi: 10.1177/0046958019845960.
Indian J Psychiatry. 2001 Jan;43(1):1-4.
4
Validity and utility of the Japanese version of the WHO-Five Well-Being Index in the context of detecting suicidal ideation in elderly community residents.日本版世界卫生组织五福安康指数在老年社区居民自杀意念检测中的有效性和实用性。
Int Psychogeriatr. 2007 Feb;19(1):77-88. doi: 10.1017/S1041610206004212. Epub 2006 Sep 14.
5
Validity of the five-item WHO Well-Being Index (WHO-5) in an elderly population.五项世界卫生组织幸福指数(WHO-5)在老年人群中的效度。
Eur Arch Psychiatry Clin Neurosci. 2001;251 Suppl 2:II27-31. doi: 10.1007/BF03035123.
6
Geriatric psychiatric morbidity in rural northern India: implications for the future.印度北部农村地区的老年精神疾病发病率:对未来的影响。
Int Psychogeriatr. 2000 Mar;12(1):35-48. doi: 10.1017/s1041610200006189.
7
Validation of a 6 item cognitive impairment test with a view to primary care usage.一项针对基层医疗使用的6项认知障碍测试的验证。
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Dementia and depression among the elderly living in the Hobart community: the effect of the diagnostic criteria on the prevalence rates.霍巴特社区老年人中的痴呆症和抑郁症:诊断标准对患病率的影响。
Psychol Med. 1985 Nov;15(4):771-88. doi: 10.1017/s0033291700005006.