Evidence map›Paper›PMID 40433840›Full record

ArticleThe clinical respiratory journal2025

The Relationship Between Anthropometric Variables and Lung Function in a Severe Smoking Community Population With Ventilatory Dysfunction.

Tiantian Cen, Zekai Cen, Xuan Chen, Zaichun Deng, Yiming Yu, Shanshan Wang, Hongying Ma

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Article in The clinical respiratory journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

1 citing paper in PubMed.

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4 · The record

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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.

Tiantian CenDepartment of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0006-3047-5279
Zekai CenDepartment of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Xuan ChenDepartment of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Zaichun DengDepartment of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Yiming YuDepartment of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Shanshan WangDepartment of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Hongying MaDepartment of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0008-4791-1211

Funding

Clinical Medicine Special Fund Project of Zhejiang Medical Association 2022ZYC-Z31Natural Science Foundation of Ningbo 2021J242
6 · The paper itself

Abstract

backgroundThe World Health Organization estimated that 65 million individuals have chronic obstructive pulmonary disease (COPD). However, large numbers remain undiagnosed. Anthropometric variables and lung function are closely related, such as body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR). Therefore, it is essential to explore the relationship between anthropometric variables and lung function.

methodsWe recruited 7679 severe smokers. Severe smoking was defined as a smoking index ≥ 20 pack-years. Among these participants, there are 6214 severe smokers with mild, moderate, and moderately severe obstructive ventilation dysfunction and 1465 severe smokers with severe and very severe obstructive ventilation dysfunction. Otherwise, participants were divided into different groups according to questionnaires and sex.

resultsLung function in the severe smoking community population was associated with anthropometric variables. The study results showed that BMI was negatively associated with the risk of severe and very severe obstructive ventilation dysfunction in a severe smoking community population with ventilatory dysfunction (OR 0.791, 95% CI 0.691-0.907, p = 0.001), the COPD Population Screener (COPD-PS) scores ≥ 5 group (OR 0.787, 95% CI 0.688-0.902, p = 0.001), the COPD Screening Questionnaire (COPD-SQ) scores ≥ 16 group (OR 0.791, 95% CI 0.689-0.908, p = 0.001), the COPD-PS scores ≥ 5 and COPD-SQ scores ≥ 16 group (OR 0.730, 95% CI 0.603-0.884, p = 0.001) and the male group (OR 0.813, 95% CI 0.708-0.933, p = 0.003). The study showed that WC was also associated with obstructive ventilation dysfunction.

conclusionLow BMI and WC were independent risk factors for severe and very severe obstructive ventilation dysfunction in the severe smoking community Chinese population with ventilatory dysfunction. Collecting COPD questionnaires may help manage lung function in the community population.

Indexed as

LungPulmonary Disease, Chronic ObstructiveSmokingAgedAnthropometryBody Mass IndexChinaCross-Sectional StudiesFemaleForced Expiratory VolumeHumansMaleMiddle AgedRespiratory Function TestsRisk FactorsSeverity of Illness Indexbody mass indexchronic obstructive pulmonary diseasechronic obstructive pulmonary disease population screenerchronic obstructive pulmonary disease screening questionnairelung functionwaist circumference

Identifiers

PMID40433840
PMCPMC12117476

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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.