Evidence map›Paper›PMID 41487379›Full record

ArticleJournal of pain research2025

Association Between Chronic Neck Pain and Increased Risk of Chronic Respiratory Diseases in Middle-Aged and Elderly Chinese Adults: A Cohort Study Based on CHARLS.

Mingyang Yi, Zhen Zhang, Haixia Li, Junting Sai, Weike Li, Zhiwan Wang

Abstract read
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Article in Journal of pain research, 2025. 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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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mingyang YiDepartment of Respiratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, People's Republic of China.
Zhen ZhangDepartment of Respiratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, People's Republic of China.
Haixia LiDepartment of Respiratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, People's Republic of China.
Junting SaiDepartment of Respiratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, People's Republic of China.
Weike LiDepartment of Respiratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, People's Republic of China.
Zhiwan WangDepartment of Respiratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic neck pain (CNP) and chronic respiratory diseases (CRD) have been shown to be associated, though such findings remain inconclusive. Objective: This study aims to investigate the association between CNP and CRD in middle-aged and elderly Chinese populations using nationally representative longitudinal data. Methods: This study utilized 7-year longitudinal data (2011-2018) from the China Health and Retirement Longitudinal Study (CHARLS). The study population comprised respondents who reported chronic neck pain (CNP) without comorbid chronic respiratory diseases (CRDs) in the 2011 survey. Pain sites were assessed via self-reported questionnaires, and CRDs were confirmed based on self-reported prior diagnoses. Logistic regression was employed to analyze the association between CNP and CRDs. Results: A total of 6864 participants were included, with 650 developing CRD during the follow-up. After adjusting for confounding factors such as gender, age, and other chronic diseases, CNP was significantly associated with incident CRD (OR = 2.25, 95% CI: 1.77-2.86, P < 0.0001). Gender-stratified analyses revealed that the positive association between CNP and CRD risk remained significant in both males (OR = 3.08, 95% CI: 2.11-4.48, P < 0.0001) and females (OR = 1.87, 95% CI: 1.37-2.57, P < 0.0001), with a stronger magnitude observed in males. Conclusion: Among Chinese CNP patients aged ≥45 years, the risk of developing CRD is increased by 2.25-fold, with evident gender differences. In clinical and community practice, conducting respiratory health assessment and screening for middle-aged and elderly patients with CNP (chronic neck pain), and initiating rehabilitation training as early as possible, is of vital importance for reducing their risk of developing chronic respiratory diseases.

Indexed as

CHARLSchronic neck painchronic respiratory diseasescohort study

Identifiers

PMID41487379
PMCPMC12764226

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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 Socratic graph.