Status of prevalence study on multimorbidity of chronic disease in China: Systematic review

医学 检查表 观察研究 人口 统计的 人口学 流行 疾病 多发病率 流行病学 荟萃分析 环境卫生 统计 病理 心理学 数学 社会学 认知心理学
作者
Xiaolan Hu,Juan Huang,Yaqi Lv,Guangxi Li,Xiaoxia Peng
出处
期刊:Geriatrics & Gerontology International [Wiley]
卷期号:15 (1): 1-10 被引量:74
标识
DOI:10.1111/ggi.12340
摘要

It is imperative to provide a more uniform method to improve the validity of prevalence studies on multimorbidity. However, the status of prevalence studies on multimorbidity of chronic disease is still yet to be confirmed in C hina. The objective of the present systematic review was to evaluate the variance across prevalence studies and to explore possible explanations for variations in C hina. Published literature was obtained from four databases. The studies that described the prevalence of multimorbidity on chronic disease based on the general population were considered. We assessed the risk of bias by a preplanned checklist referring to STROBE (Strengthening the Reporting of Observational Studies in Epidemiology). The heterogeneity among eligible studies was estimated by I 2 statistic and P ‐value using MetaAnalyst software. Nine studies were eligible for this systematic review. The prevalence of multimorbidity among the population aged 60 years or more ranged from 6.4% (95% CI 5.1–8.0) to 76.5% (95% CI 73.6–79.2). However, just two of nine studies could be judged as having a low risk of bias. It was shown that key items introducing the risk of bias included inconsistent sampling method, lacking of uniform measure indices and data source based on self‐report. Heterogeneity test showed I 2 = 50% ( P < 0.001), which showed there was substantial variation among individual studies. Therefore, only a narrative summary rather than meta‐analysis was carried out. Marked methodology heterogeneity exists among prevalence studies on multimorbidity. Suggested methodological aspects that should be considered in future studies include sampling method, measure indices of multimorbidity and data source. Geriatr Gerontol Int 2015; 15: 1–10.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
tigger完成签到 ,获得积分10
1秒前
xiaofanwang发布了新的文献求助10
1秒前
鸭梨发布了新的文献求助10
1秒前
1秒前
脑洞疼应助xinghe123采纳,获得10
1秒前
小白发布了新的文献求助10
1秒前
1秒前
ding应助佚名采纳,获得10
2秒前
刘奎冉发布了新的文献求助10
2秒前
甜蜜屁池完成签到,获得积分10
2秒前
小小小小w完成签到,获得积分10
3秒前
3秒前
4秒前
上官若男应助志小天采纳,获得10
4秒前
量子星尘发布了新的文献求助10
5秒前
SY发布了新的文献求助10
5秒前
6秒前
xiaofanwang完成签到,获得积分10
6秒前
7秒前
7秒前
左丘冥完成签到,获得积分10
8秒前
8秒前
内向的小虾米完成签到,获得积分10
9秒前
迪迪张完成签到,获得积分10
9秒前
桐桐应助小张同学采纳,获得10
9秒前
阳6完成签到 ,获得积分10
9秒前
xiaojin完成签到,获得积分10
10秒前
liu完成签到,获得积分10
10秒前
10秒前
10秒前
10秒前
大锅逢饭完成签到,获得积分10
10秒前
10秒前
志小天完成签到,获得积分10
11秒前
12秒前
自觉志泽发布了新的文献求助10
12秒前
ping完成签到 ,获得积分10
12秒前
12秒前
米子哈发布了新的文献求助10
13秒前
华仔应助刘奎冉采纳,获得30
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608292
求助须知:如何正确求助?哪些是违规求助? 4692876
关于积分的说明 14875899
捐赠科研通 4717214
什么是DOI,文献DOI怎么找? 2544162
邀请新用户注册赠送积分活动 1509147
关于科研通互助平台的介绍 1472809