Evidence map›Paper›PMID 39660060›Full record

ArticlePNAS nexus2024

Complex patterns and determinants of regional multiple chronic conditions across the United States.

Yanqing Xu, Ming Yan, Cong Fu, Wei Xu, Yan Liu, Yuchen Li

Abstract read
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Yanqing XuSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei 430079, China.ORCID https://orcid.org/0000-0002-5004-9975
Ming YanSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei 430079, China.
Cong FuSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei 430079, China.
Wei XuHealth Management Center, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Yan LiuSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei 430079, China.
Yuchen LiSchool of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom.ORCID https://orcid.org/0000-0003-1670-3782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncommunicable chronic diseases (NCDs) are a rapidly growing global public health concern, posing substantial challenges to healthcare systems. The presence of multiple (≥2) chronic conditions (MCC) exacerbates these challenges. In this study, we constructed an integrated MCC network to comprehensively evaluate the impact of NCD prevalence and associated factors on MCC patterns. We identified four distinct MCC patterns, each with its unique set of associated risk factors. Firstly, we found that race, sedentary lifestyles, and smoking habits were significant contributors to the co-occurrence of diabetes, chronic kidney disease, and cancer. Secondly, smoking habits and mental health were identified as risk factors associated with the clusters of high cholesterol, hypertension, coronary heart disease, and arthritis. Furthermore, the comorbidity of chronic obstructive pulmonary disease and asthma was affected by socioeconomic status, smoking habits, and educational attainment, and a noteworthy reciprocal relationship existed between these two MCC combinations. Thirdly, the combination of asthma and obesity is associated with risk factors such as mental health, smoking habits, sedentary lifestyles, and binge drinking behaviors. Finally, the pattern of depression-stroke comorbidity was influenced by risk factors including mental health, age, and sleep duration. Our findings hold valuable implications for healthcare system optimization, offering a pathway to mitigate the escalating burden of NCDs. Additionally, they provide a foundation for scientific strategies aimed at the joint prevention and management of these complex conditions, ultimately enhancing public health and safety on a global scale.

Indexed as

multiple chronic conditionsnetwork analysisnoncommunicable chronic diseasespublic healthrisk factors

Identifiers

PMID39660060
PMCPMC11630010

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.