马来西亚古达社区老年人抑郁相关因素

Q3 Medicine
Medical Journal of Malaysia Pub Date : 2025-05-01
N Azhar, A Alias, W H N Wan Mohamad Lotfi, A Omar, K Mokti, S S Syed Abdul Rahim, M S Jeffree, M Y Ibrahim, M Musa, M R Hassan, Y Shobugawa
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引用次数: 0

摘要

引言:老年抑郁症的负担随着人口老龄化的增长而增加,特别是在医疗保健有限的农村地区。在马来西亚,27.8%的老年人患有抑郁症,其中16.5%的抑郁症状报告发生在社区居住的老年人中。本研究旨在确定沙巴州农村地区Kudat老年人抑郁症的患病率及其相关因素。材料和方法:采用马来语版老年抑郁量表(M-GDS-14)进行横断面研究。采用Logistic回归分析老年抑郁症与社会人口学、社会经济、身体健康、生活方式、心理社会等因素的关系。结果:共纳入310例受试者,平均年龄69.4岁。以龙格斯族(78.7%)和已婚(73.9%)居多。约72%的家庭收入低于1000令吉;其中一半是退休人员,43.2%仍在工作。抑郁症患病率高达73.2% (95% CI: 70.7, 75.7)。合并症和中、差自评健康与抑郁的高几率显著相关,调整后的比值比分别为1.99和2.09。结论:研究结果表明,库达特地区老年人抑郁水平较高,且抑郁与合并症和自评健康状况有显著关联。公共卫生项目应侧重于管理合并症和促进积极的自我认知健康,以减少这一人群的抑郁症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors associated with depression among the community-dwelling elderly In Kudat, Malaysia.

Introduction: The burden of elderly depression is rising with the growing ageing population, particularly in rural areas with limited healthcare access. In Malaysia, 27.8% of the elderly experience depression, with 16.5% of depressive symptoms reported among community-dwelling older adults. This study aimed to determine the prevalence of depression and its associated factors among the elderly in Kudat, a rural area in Sabah.

Materials and methods: A cross-sectional study was conducted using the Malay version of the Geriatric Depression Scale (M-GDS-14). Logistic regression analyses were used to analyse the relationships between elderly depression and sociodemographic, socioeconomic, physical health, lifestyle, and psychosocial factors.

Results: A total of 310 participants were involved, with a mean age of 69.4 years. Most were of Rungus ethnicity (78.7%) and married (73.9%). About 72% had a household income below RM 1,000; half were retirees, while 43.2% were still working. The prevalence of depression was high at 73.2% (95% CI: 70.7, 75.7). Comorbidities and moderate-topoor self-rated health were significantly associated with higher odds of depression, with adjusted odds ratios of 1.99 and 2.09, respectively.

Conclusion: The findings highlight the high level of depression among the elderly in Kudat and the significant association with comorbidities and self-rated health status. Public health programs should focus on managing comorbidities and promoting positive self-perceived health to reduce depression in this population.

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来源期刊
Medical Journal of Malaysia
Medical Journal of Malaysia Medicine-Medicine (all)
CiteScore
1.20
自引率
0.00%
发文量
165
期刊介绍: Published since 1890 this journal originated as the Journal of the Straits Medical Association. With the formation of the Malaysian Medical Association (MMA), the Journal became the official organ, supervised by an editorial board. Some of the early Hon. Editors were Mr. H.M. McGladdery (1960 - 1964), Dr. A.A. Sandosham (1965 - 1977), Prof. Paul C.Y. Chen (1977 - 1987). It is a scientific journal, published quarterly and can be found in medical libraries in many parts of the world. The Journal also enjoys the status of being listed in the Index Medicus, the internationally accepted reference index of medical journals. The editorial columns often reflect the Association''s views and attitudes towards medical problems in the country. The MJM aims to be a peer reviewed scientific journal of the highest quality. We want to ensure that whatever data is published is true and any opinion expressed important to medical science. We believe being Malaysian is our unique niche; our priority will be for scientific knowledge about diseases found in Malaysia and for the practice of medicine in Malaysia. The MJM will archive knowledge about the changing pattern of human diseases and our endeavours to overcome them. It will also document how medicine develops as a profession in the nation. We will communicate and co-operate with other scientific journals in Malaysia. We seek articles that are of educational value to doctors. We will consider all unsolicited articles submitted to the journal and will commission distinguished Malaysians to write relevant review articles. We want to help doctors make better decisions and be good at judging the value of scientific data. We want to help doctors write better, to be articulate and precise.
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