Evidence map›Paper›PMID 38389048›Full record

ArticleBMC public health2024

Trajectories network analysis of chronic diseases among middle-aged and older adults: evidence from the China Health and Retirement Longitudinal Study (CHARLS).

Jiade Chen, Fan Zhang, Yuan Zhang, Ziqiang Lin, Kaisheng Deng, Qingqin Hou, Lixia Li, Yanhui Gao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 20 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Jiade Chen *Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China.
Fan Zhang *Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China.
Yuan ZhangGuangdong Provincial Institute of Sports Science, Guangzhou, Guangdong, China.
Ziqiang LinDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China.
Kaisheng DengSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Qingqin HouSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Lixia LiSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China. llx19@163.com.
Yanhui GaoDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China. gaoyanhui@jnu.edu.cn.
Jinan University · CNGuangdong Pharmaceutical University · CNGuangdong Provincial Institute of Grain Science and Technology · CN

Funding

Department of Science and Technology of Guangdong Province 2021B1111610004
6 · The paper itself

Abstract

backgroundGiven the increased risk of chronic diseases and comorbidity among middle-aged and older adults in China, it is pivotal to identify the disease trajectory of developing chronic multimorbidity and address the temporal correlation among chronic diseases.

methodThe data of 15895 participants from the China Health and Retirement Longitudinal Study (CHARLS 2011 - 2018) were analyzed in the current study. Binomial tests and the conditional logistic regression model were conducted to estimate the associations among 14 chronic diseases, and the disease trajectory network analysis was adopted to visualize the relationships.

resultsThe analysis showed that hypertension is the most prevalent disease among the 14 chronic conditions, with the highest cumulative incidence among all chronic diseases. In the disease trajectory network, arthritis was found to be the starting point, and digestive diseases, hypertension, heart diseases, and dyslipidemia were at the center, while memory-related disease (MRD), stroke, and diabetes were at the periphery of the network.

conclusionsWith the chronic disease trajectory network analysis, we found that arthritis was prone to the occurrence and development of various other diseases. In addition, patients of heart diseases/hypertension/digestive disease/dyslipidemia were under higher risk of developing other chronic conditions. For patients with multimorbidity, early prevention can preclude them from developing into poorer conditions, such as stroke, MRD, and diabetes. By identifying the trajectory network of chronic disease, the results provided critical insights for developing early prevention and individualized support services to reduce disease burden and improve patients' quality of life.

Indexed as

ArthritisDiabetes MellitusDigestive System DiseasesDyslipidemiasHeart DiseasesHypertensionStrokeAgedChinaChronic DiseaseHumansLongitudinal StudiesMiddle AgedQuality of LifeRetirementCHARLS5China4Chronic diseases2Disease trajectory1Middle-aged and older people3

Identifiers

PMID38389048
PMCPMC10882875
OpenAlexW4392052023

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.