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A study of pulmonary function in hypothyroid female patients of reproductive age group and its correlation with free T3, T4 and TSH

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Veröffentlicht/Copyright: 9. Januar 2026

Abstract

Objectives

Hypothyroidism is common among females of reproductive age group. The prevalence is 10.95 % of which 3.47 % are unaware of the condition and its effect on lung function. To study the pulmonary function among hypothyroid females of reproductive age group and to identify the respiratory disease pattern and also to correlate free T3, T4 and TSH Levels with pulmonary function test parameters.

Methods

This is a case control study, comprised of 156 participants divided into two groups (n1 and n2). Group 1 consisted of normal healthy female controls and group 2 consisted of hypothyroid female patients of age group 18–45 years. After recording anthropometric variables, vital signs and BMI, spirometry was performed and following parameters, FVC, FEV1, FEV1/FVC, PEF, PIF and FEF25–75 % were assessed and analyzed. Statistical analysis and correlation was done.

Results

Hypothyroid patients showed a statistically significant decline in FEV1, FEV1/FVC%. Rho and Pearson’s correlation showed a positive correlation between free T4 and FEV1, FEV1/FVC%, PIF, FEF25–75 %, with FEF25–75 % statistically significant. TSH showed a negative correlation with FVC, PEF and PIF with PEF statistically significant.

Conclusions

Our study shows that patients with hypothyroidism are more prone to develop obstructive pattern of lung disease, with a decline in small airway and large airway function.


Corresponding author: Dr. Bhavya Ramakumar Latha, M.D., Assistant Professor, Department of Physiology, ESIC Medical College and Hospital, KK Nagar, Chennai, Tamil Nadu, 600078, India, E-mail:

Acknowledgments

We would like to express our heartfelt gratitude to the Institution, the Department of Physiology, and the study participants for their invaluable contributions, which were instrumental in the successful completion of this study.

  1. Research ethics: The study was approved by Institutional ethics committee and the Ethics clearance number is SRMIEC-ST0723-559.

  2. Informed consent: Informed consent was obtained from all individuals included in this study.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: No AI or machine learning tools, including large language models, were used in the generation of content or analysis in this study.

  5. Conflict of interest: Authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2024-09-27
Accepted: 2025-11-12
Published Online: 2026-01-09

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 22.4.2026 von https://www.degruyterbrill.com/document/doi/10.1515/jbcpp-2024-0169/html
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