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Original

Association between parity and autoimmune thyroiditis in a general female population

, , , , &
Pages 174-180 | Received 23 Jul 2007, Accepted 31 Oct 2007, Published online: 07 Jul 2009
 

Abstract

Background: Autoimmune thyroid disease (AIT) is more common in females than in males. Furthermore, it is well documented that the risk of thyroid autoimmunity increases during pregnancy and in the postpartum period. The objective of the present study was to analyse the association between parity and AIT by using ultrasound and serological data.

Methods: The study population included 2156 women, aged 20–79 years. Serum thyroperoxidase antibodies (anti-TPO) and thyrotropin levels were measured and thyroid ultrasonography was performed. AIT was defined according to the combined presence of a hypoechogenic thyroid pattern and positive anti-TPO levels (>200 IU/ml). Odds ratios (OR) and 95% confidence intervals (CI) were calculated.

Results: The analyses revealed an association between parity and AIT. Women with at least one pregnancy had increased odds for AIT (OR 4.6 [95%-CI 1.4–15.1], p < 0.05) compared to women who have never been pregnant. Similar results were observed using hypoechogenic thyroid pattern (OR 1.7 [95%-CI 1.0–2.9], p < 0.05) and positive anti-TPO levels (OR 1.8 [95%-CI 1.0–3.3], p = 0.05) as separate dependent variables or using number of births as alternate independent variable.

Conclusion: In this female population we found an association between parity and AIT and conclude that parity appears to be a potential risk factor for AIT.

Acknowledgements

SHIP is part of the Community Medicine Net (http://ship.community-medicine.de) of the University of Greifswald, which is funded by grants from the German Federal Ministry of Education and Research (BMBF, grant 01ZZ96030); the Ministry for Education, Research and Cultural Affairs; and the Ministry for Social Affairs of the Federal State of Mecklenburg–West Pomerania. The contributions to data collection made by field workers, study physicians, ultrasound technicians, interviewers and computer assistants are gratefully acknowledged.

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