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Prevalence and incidence of co-morbid lung disease associated with type 2 diabetes from the UK Biobank

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Abstract

Aim: This analysis examined the prevalence and incidence of type 2 diabetes mellitus (T2DM) and co-morbid lung disease in the UK Biobank population. Methods: Non-communicable inflammatory lung diseases, body mass index (BMI), age, glycated haemoglobin (HbA1c), sex, smoking status, diabetes status, forced expiratory volume in one second (FEV1), and forced vital capacity (FVC) data were obtained. Participants were categorised by BMI: lean (18.5–24.9 kg/m2), overweight (25–29.9 kg/m2), and obese (≥ 30 kg/m2). Fisher’s exact test identified lung disease prevalence and incidence. Kruskal-Wallis assessed lung function variance and its correlation with HbA1c. Cox regression analysed the impact of confounders on time to lung disease events. Results: Overweight and obesity increased the prevalence and incidence of chronic obstructive pulmonary disease, asthma, and bronchitis, but this was not evident in cases of bronchiectasis in those without T2DM (P < 0.05–0.0001). Conversely, T2DM increased lung disease risk across all BMIs (P < 0.0001) and reduced FEV1 and FVC even after HbA1c normalisation (P < 0.0001). FEV1 and FEV1/FVC were negatively correlated with HbA1c. Age, diabetes, being a woman, smoking, reduced FEV1 and FEV1/FVC ratio, but not BMI, were factors in lung disease development in T2DM. Conclusions: Inflammatory lung conditions are more common in T2DM patients, regardless of BMI. The pattern of lung decline suggests restrictive impairment, despite a high risk of obstructive disorders. This data adds to the evidence that the lungs are a target organ of diabetes damage.
Original languageEnglish
Number of pages16
JournalExploration of Endocrine and Metabolic Diseases
Early online date3 Jul 2025
DOIs
Publication statusPublished online - 3 Jul 2025

Bibliographical note

© The Author(s) 2025.

Data Availability Statement

The data analysed in this study were obtained from UK Biobank. Requests for access to these datasets
should be directed to the access management team (AMT), [email protected].

Funding

Economy (DfE), Northern Ireland. PS wishes to acknowledge funding of a PhD studentship to KC from the Department for the Economy (DfE), Northern Ireland, and funding support from the Ulster University for the UK Biobank project number 48433. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Diabetes
  • obesity
  • body mass index (BMI)
  • lung disease
  • UK Biobank
  • prevalence

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