Evidence map›Paper›PMID 41884126›Full record

ArticleFrontiers in medicine2026

Joint associations of lung function of both general and abdominal obesity with cardiometabolic multimorbidity: a cross-sectional study.

Shuyan Wan, Mengmeng Shi, Yue Gao

Abstract read
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Article in Frontiers in medicine, 2026. 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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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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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5 · Who and what money

Authors and funding

3 authors.

Shuyan WanDepartment of Health Education, Jinhua Municipal Central Hospital, Zhejiang, China.
Mengmeng ShiDepartment of Health Education, Jinhua Municipal Central Hospital, Zhejiang, China.
Yue GaoHemodialysis Center, The Second People's Hospital of Jiashan, Jiaxing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiometabolic multimorbidity (CMM) has become an escalating public health challenge amid global population aging. Although lung function has been implicated in individual cardiometabolic conditions, its role in predicting CMM, particularly in relation to obesity, remains poorly characterized. This study aimed to evaluate the associations between lung function indicators and CMM, and to explore their joint associations with general and abdominal obesity. Methods: This cross-sectional study included 35,414 community-dwelling adults aged ≥65 years from the Zhejiang Provincial Chronic Obstructive Lung Disease Screening in Jinhua City, China. Lung function was assessed by standardized spirometry. Participants were classified as having preserved lung function or restrictive spirometry (FEV₁/FVC ≥ 0.70 with FVC%predicted <80%). General obesity was defined as BMI ≥ 28.0 kg/m Results: CMM prevalence was 1.02%. In fully adjusted models, higher lung function was inversely associated with CMM. Compared to the lowest quartile, the highest quartile had significantly lower CMM odds for FVC%predicted (OR = 0.60, 95%CI: 0.44, 0.81), FEV₁%predicted (OR = 0.71, 95%CI: 0.53, 0.95), and PEF%predicted (OR = 0.64, 95%CI: 0.47, 0.86). Restrictive spirometry was associated with 56% higher CMM odds versus preserved lung function. Both general obesity (OR = 1.30 per SD, 95%CI: 1.18, 1.43) and abdominal obesity (OR = 1.33 per SD, 95%CI: 1.21, 1.45) significantly increased CMM odds. Joint analysis showed participants with restrictive spirometry and abdominal obesity had the highest CMM, while those with preserved lung function and normal abdominal circumference had 65% lower odds (OR = 0.35, 95%CI: 0.25, 0.49). Conclusion: These findings suggest that reduced lung function in combination with obesity represents a high-risk phenotype that is more strongly associated with CMM. Simultaneous screening of lung function and obesity status may help identify older adults at greatest risk for CMM. However, longitudinal studies are warranted to confirm the temporality of these associations.

Indexed as

abdominal obesitycardiometabolic multimorbiditylung functionobesityrestrictive spirometry pattern

Identifiers

PMID41884126
PMCPMC13008965

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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.