Evidence map›Paper›PMID 40556903›Full record

ArticleFrontiers in public health2025

Ethnic disparities in the relationship between the number of chronic diseases and health status among adults aged ≥45 in Yunnan Province, China.

Rui Deng, Jie Chen, Xinping Wang, Yan Xiao, Ying Chen, Chaofang Yan, Yuan Huang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Rui Deng *School of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Jie Chen *Chengdu Seventh People' s Hospital, Chengdu, Sichuan, China.
Xinping WangSchool of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Yan XiaoDepartment of Foreign Languages, Kunming Medical University, Kunming, Yunnan, China.
Ying ChenSchool of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Chaofang YanSchool of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Yuan HuangSchool of Public Health, Kunming Medical University, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic conditions among middle-aged and older adults from ethnic minority backgrounds is becoming increasingly prominent, while there is limited evidence available regarding the influence of NCDs on ethnic minority groups in later life. This study aims to examine the characteristics of NCDs and health status among adults aged ≥45 in multi-ethnic settlement, as well as explore the disparate impacts of chronic condition on ethnically diverse populations. Methods: This cross-sectional study was conducted in Yunnan Province, China from July to December 2022. Intergroup comparisons were performed using chi-square tests and Kruskal-Wallis H test. Multivariable linear regression and Tobit regression were used to assess the impact of NCDs on health status indicators. Results: Out of the total 2,710 participants, approximately 57.90% exhibited at least one NCD, with individuals from the Conclusion: The prevalence of NCDs among adults aged ≥45 in Yunnan province is significantly higher, indicating a substantial burden of NCDs in underdeveloped areas. Although the chronic condition is more prominent among

Indexed as

EthnicityHealth StatusHealth Status DisparitiesMinority GroupsAgedChinaChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceactivities of daily livingchronic non-communicable diseaseschronic painethnic minorityfrailtyhealth utility valueZhiguo ethnic minority

Identifiers

PMID40556903
PMCPMC12185306

What OpenQuestion holds

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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.