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. 2025 Jan;48(1):201-212.
doi: 10.1007/s40618-024-02409-z. Epub 2024 Jun 15.

Treatment of Obesity with Thyroid hormones in Europe. Data from the THESIS* Collaboration

Affiliations

Treatment of Obesity with Thyroid hormones in Europe. Data from the THESIS* Collaboration

J C Galofré et al. J Endocrinol Invest. 2025 Jan.

Abstract

Purpose: The use of thyroid hormones (TH) to treat obesity is unsupported by evidence as reflected in international guidelines. We explored views about this practice, and associations with respondent characteristics among European thyroid specialists.

Methods: Specialists from 28 countries were invited to a survey via professional organisations. The relevant question was whether "Thyroid hormones may be indicated in biochemically euthyroid patients with obesity resistant to lifestyle interventions".

Results: Of 17,232 invitations 5695 responses were received (33% valid response rate; 65% women; 90% endocrinologists). Of these, 290 (5.1%) stated that TH may be indicated as treatment for obesity in euthyroid patients. This view was commoner among non-endocrinologists (8.7% vs. 4.7%, p < 0.01), private practice (6.5% vs. 4.5%, p < 0.01), and varied geographically (Eastern Europe, 7.3%; Southern Europe, 4.8%; Western Europe, 2.7%; and Northern Europe, 2.5%). Respondents from Northern and Western Europe were less likely to use TH than those from Eastern Europe (p < 0.01). Gross national income (GNI) correlated inversely with this view (OR 0.97, CI: 0.96-0.97; p < 0.001). Having national guidelines on hypothyroidism correlated negatively with treating obesity with TH (OR 0.71, CI: 0.55-0.91).

Conclusions: Despite the lack of evidence, and contrary to guidelines' recommendations, about 5% of respondents stated that TH may be indicated as a treatment for obesity in euthyroid patients resistant to life-style interventions. This opinion was associated with (i) respondent characteristics: being non-endocrinologist, working in private practice, treating a small number of hypothyroid patients annually and (ii) national characteristics: prevalence of obesity, Eastern Europe, low GNI and lack of national hypothyroidism guidelines.

Keywords: Hypothyroidism; Levothyroxine; Obesity; Survey.

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Conflict of interest statement

Declarations. Conflict of interest: LH, PP, EP, EVN and JCG received consultancy fees from Institut Biochimique SA. Ethical approval: This article does not contain any studies with human participants or animals performed by any of the authors. Informed concent: For this type of study, formal consent is not required.

Figures

Fig. 1
Fig. 1
Physicians’ use of thyroid hormone (TH) for obesity and prevalence of obesity in countries included in the study. The line represents predicted probabilities obtained by univariable logistic regression (OR 1.09, 95%, CI 1.05–1.13 per 1 kg/m2, p < 0.001). Please note that the line is slightly curved. Using a linear regression plot is not suitable as we analysed the binomial (Yes–No) variable and the probability of obtaining “Yes” for different levels of obesity
Fig. 2
Fig. 2
Geographical inequalities in the A Prevalence of obesity in Europe by country. Source WHO [Ref 41]. B Percentage of specialists who manage obesity with thyroid hormones in Europe according to the THESIS survey (data in Table 2). C Gross national income per capita in the countries included in the THESIS survey. Source the World Bank [Ref 40]
Fig. 3
Fig. 3
Physicians’ use of thyroid hormone (TH) for obesity and Gross national income (GNI) in countries included in the study. The line represents predicted probabilities obtained by univariable logistic regression (OR 0.97, 95% CI 0.96–0.98 per 1000 US $, p < 0.001). Please note that the line is curved. Using a linear regression plot is not suitable as we analysed the binomial (Yes–No) variable and the probability of obtaining “Yes” for different levels of GNI
Fig. 4
Fig. 4
Obesity prevalence and Gross national income (GNI) in countries included in the study. It’s worth noting that in this case, a linear regression is appropriate as we correlated Obesity and GNI per country. The choice of regression method was based on the nature of the variables and the research question we were trying to answer

References

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