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尼泊尔的多病共存流行病学:一项系统评价与荟萃分析。

Epidemiology of multimorbidity in Nepal: A systematic review and meta-analysis.

作者信息

Sinha Abhinav, Suman S Shradha, Subedi Narayan, Sahoo Krushna Chandra, Poudel Mukesh, Chauhan Arohi, Sahoo Banamber, van den Akker Marjan, Weller David, Mercer Stewart W, Pati Sanghamitra

机构信息

ICMR-Regional Medical Research Centre, Bhubaneswar, India.

South Asian Institute of Health Promotion, Bhubaneswar, India.

出版信息

J Multimorb Comorb. 2024 Sep 14;14:26335565241284022. doi: 10.1177/26335565241284022. eCollection 2024 Jan-Dec.

DOI:10.1177/26335565241284022
PMID:39296869
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11409287/
Abstract

BACKGROUND

Multimorbidity is rising in low-and middle-income countries such as Nepal, yet the research has not gained pace in this field. We aimed to systematically review the existing multimorbidity literature in Nepal and estimate the prevalence and map its risk factors and consequences.

METHODS

We reviewed data collated from PubMed, Embase and CINAHL by including original studies that reported prevalence of multimorbidity in Nepal. The quality of included studies was assessed using the Appraisal Tool for Cross-sectional Studies. The summary of the review is presented both qualitatively as well as through meta-analysis to give pooled prevalence. We prospectively registered in PROSPERO (CRD42024499598).

RESULTS

We identified 423 studies out of which seven were included in this review. All studies were conducted in a community setting except one which was hospital based. The prevalence reported across various studies ranged from 13.96% to 70.1%. The pooled prevalence of multimorbidity was observed to be 25.05% (95% CI: 16.99 to 34.09). The number of conditions used to assess multimorbidity ranged from four to nine. The major risk factors identified were increasing age, urban residence, and lower literacy rates.

CONCLUSION

A wide variance in the prevalence of multimorbidity was observed. Moreover, multimorbidity assessment tool/conditions considered for assessing multimorbidity were heterogeneous.

摘要

背景

在尼泊尔等低收入和中等收入国家,多重疾病的发病率正在上升,但该领域的研究尚未加快步伐。我们旨在系统回顾尼泊尔现有的多重疾病文献,估计其患病率,并绘制其风险因素和后果的图谱。

方法

我们通过纳入报告尼泊尔多重疾病患病率的原始研究,回顾了从PubMed、Embase和CINAHL整理的数据。使用横断面研究评估工具对纳入研究的质量进行评估。综述的总结以定性方式以及通过荟萃分析呈现,以给出合并患病率。我们在PROSPERO(CRD42024499598)中进行了前瞻性注册。

结果

我们识别出423项研究,其中7项纳入了本综述。除一项基于医院的研究外,所有研究均在社区环境中进行。各项研究报告的患病率从13.96%到70.1%不等。观察到多重疾病的合并患病率为25.05%(95%置信区间:16.99至34.09)。用于评估多重疾病的疾病数量从4种到9种不等。确定的主要风险因素包括年龄增长、城市居住和较低的识字率。

结论

观察到多重疾病患病率存在很大差异。此外,用于评估多重疾病的评估工具/疾病是异质性的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/282a/11409287/220454072ff1/10.1177_26335565241284022-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/282a/11409287/867f0044276c/10.1177_26335565241284022-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/282a/11409287/220454072ff1/10.1177_26335565241284022-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/282a/11409287/867f0044276c/10.1177_26335565241284022-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/282a/11409287/220454072ff1/10.1177_26335565241284022-fig2.jpg

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Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India.印度德里国家首都辖区接受阿育吠陀初级保健机构治疗的患者中多病共存的流行率及其相关因素。
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印度部落老年人的非传染性疾病多重共存状况:来自全球老龄化和成人健康研究 2015 年的证据。
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