Impact of Iodine Deficiency Trends on the Pathophysiology of Selected Populations
Abstract
Dear Editor: In a very interesting article, Liang et al. [1] analyze global iodine deficiency (ID) trends from 1990 to 2021, with projections through 2050, by using the extreme gradient boosting (XGBoost) + Shapley additive explanations (SHAP) model. The authors comment on how the model effectively identifies key factors (age, sex, and year) to produce accurate predictions, and they envision future integration of additional variables, such as local socioeconomic factors, to improve the applicability of the model in specific regions. As the authors underline, regional, and demographic characteristics must be considered to fully interpret the effects of ID reduction. In this regard, we would like to reflect on the impact of globalization and migratory phenomena, which introduces variability in genetic characteristics, dietary trends, and lifestyle in populations belonging to the same regional unit. We believe that the analysis of populations with a homogeneous genetic substrate and stable habitat over time can help to appreciate the extent of the direct effects of ID reduction on selected indicators.
Identifier Metadata
| Identifier | 110.0473/INT.2026.00447 |
| Canonical | mdoi:110.0473/INT.2026.00447 |
| Resolver URL | https://mdoi.org/110.0473/INT.2026.00447 |
| Resource URL | Open resource |
| Document URL | Open document |
| Content Type | Article |
| Authors | Nicola De Maio, Fiore Carpenito, Alberto Carpenito, Francesco Turco, Giancarlo Landi, Margot De Marco |
| Year | 2025 |
| Depositor | International Journal of Multidisciplinary Studies and Innovative Researchs Organisation |
| Prefix | 110.0473 |
| Registered | June 27, 2026 |
| Updated | June 27, 2026 |
| Status | Active |
| Visibility | Public |
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