Evidence map›Paper›PMID 38772099›Full record

ArticleThe journal of nutrition, health & aging2024

Trends in prevalence of multimorbidity for chronic diseases in China: serial cross-sectional surveys from 2009 to 2018.

Wei-Quan Lin, Li-Ying Luo, Yao-Hui Li, Min-Ying Sun, Qin Zhou, Yun-Ou Yang, Xiang-Yi Liu, Jia-Min Chen, Hui Liu

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Article in The journal of nutrition, health & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wei-Quan LinDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China; Institute of Public Health, Guangzhou Medical University and Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China. Electronic address: linweiquan0503@163.com.
Li-Ying LuoDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China. Electronic address: luoliying_0928@163.com.
Yao-Hui LiDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China. Electronic address: li_yaohui@126.com.
Min-Ying SunDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China; Institute of Public Health, Guangzhou Medical University and Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China. Electronic address: sunmy1220@163.com.
Qin ZhouDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China. Electronic address: gzcdc_zhouq@gz.gov.cn.
Yun-Ou YangDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China. Electronic address: gzcdc_yangyo@gz.gov.cn.
Xiang-Yi LiuDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China. Electronic address: gzcdc_liuxy@gz.gov.cn.
Jia-Min ChenDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China. Electronic address: gzcdc_chenjm@gz.gov.cn.
Hui LiuDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou 510440, China. Electronic address: gzcdc_liuhui@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity, individuals suffering from two or more chronic diseases, has become a major health challenge worldwide, especially in populous and prosperous cities, where studies of this phenomenon in China are limited. We examined the prevalence, trends, patterns, and associated factors of multimorbidity from 2009 to 2018 among community-dwelling adults in Guangzhou, China.

methodsWe conducted serial cross-sectional surveys for chronic diseases in Guangzhou, China, in 2009, 2013, and 2018. General and stratified prevalence were standardized using demographic data. Multivariable logistic regression and hierarchical cluster analysis were applied to identify associated factors and to assess the correlations and patterns of multimorbidity, respectively.

resultsThis study included 23,284 adults aged 18 and over in 2009, 18,551 in 2013, and 15,727 in 2018. The standardized prevalence of multimorbidity increased substantially, with 12.69% (95% CI: 10.45-15.33) in 2009, 25.44% (95% CI: 23.47-27.52) in 2013, and 35.13% (95% CI:32.64-37.70) in 2018 (P for trend <0.001). The highest bi- and triple-conditions of multimorbidity were dyslipidemia (DP) and overweight or obesity (OO) (12.54%, 95% CI: 11.68-13.46), and DP, OO, and Hypertension (HT) (3.99%, 95% CI: 3.47-4.58) in 2018. From 2009 to 2018, (1) The majority of multimorbidity patterns showed a high prevalence; (2) The percentage of participants with only one chronic condition was found lower, while the percentage with multiple conditions was higher.

conclusionsThe prevalence of chronic disease multimorbidity in Guangzhou China, has increased substantially among adults. Effective policies targeting multimorbidity are urgently needed, especially for the health management of primary medical institutions.

Indexed as

MultimorbidityAdolescentAdultAgedChinaChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceYoung AdultChronic diseaseMultimorbidityPatterns of multimorbidityPrevalenceTrend

Identifiers

PMID38772099
PMCPMC12878626

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.