Evidence map›Paper›PMID 42904136›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2026

Prevalence and Associated Factors of COPD Awareness and Screening Intention among Community-Dwelling Older Adults in China.

Yifei Du, Refukaitijiang Abuduwayiti, Feng Sun, Hao Lin, Chun Chang, Shengzhi Sun, Wangnan Cao

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yifei DuSchool of Public Health, Capital Medical University, Beijing, People's Republic of China.
Refukaitijiang AbuduwayitiSchool of Public Health, Peking University, Beijing, People's Republic of China.
Feng SunSchool of Public Health, Peking University, Beijing, People's Republic of China.ORCID 0000-0003-4334-6805
Hao LinSchool of Public Health, Peking University, Beijing, People's Republic of China.
Chun ChangSchool of Public Health, Peking University, Beijing, People's Republic of China.
Shengzhi SunSchool of Public Health, Capital Medical University, Beijing, People's Republic of China.
Wangnan CaoSchool of Public Health, Peking University, Beijing, People's Republic of China.ORCID 0000-0002-6163-2760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) has recently been incorporated into the National Basic Public Health Service Program because of its high prevalence and substantial mortality burden among elderly Chinese individuals. However, little is known about COPD awareness, screening intention, and their associated factors. Methods: Between September 2024 and February 2025, a structured questionnaire survey was conducted among community-dwelling older adults in Jiangsu and Shandong provinces, China, to collect data on potential influencing factors, COPD awareness, and screening intention. We identified factors associated with COPD awareness and screening intention using univariable binary logistic regression analyses. Results: Among the 574 participants, 116 (20.21%) had heard of COPD and 412 (71.78%) expressed willingness to undergo screening. Higher education ( Conclusion: This study provides up-to-date evidence that Chinese elderly have low COPD awareness but a relatively high screening intention, and identifies socio-demographic characteristics, physical health, and healthcare utilization as important associated factors, with public health implications for guiding community-based health education and improving early detection strategies.

Indexed as

AwarenessHealth Knowledge, Attitudes, PracticeIndependent LivingIntentionMass ScreeningPatient Acceptance of Health CarePulmonary Disease, Chronic ObstructiveAgedAged, 80 and overAge FactorsAging in PlaceChinaCross-Sectional StudiesFemaleHumansLogistic ModelsawarenessChinachronic obstructive pulmonary diseaseCOPDolder adultsscreening intention

Identifiers

PMID42904136
PMCPMC13682308

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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.