Worldwide trends in metabolic syndrome from 2000 to 2023: a systematic review and modelling analysis
Résumé fourni par la source
Metabolic syndrome (MetS), a cluster of conditions including abdominal obesity, high blood pressure, and abnormal blood sugar and lipid levels, is a growing global health concern, yet its global burden remains poorly characterized. Here we show trends in MetS prevalence from 2000 to 2023, based on a systematic review and Bayesian modelling of 3236 data points with 45,549,151 adults. Between 2000 and 2023, prevalence rose from 14.7% (13.1–16.7) to 31.0% (28.5-33.9) among women, and from 9.0% (6.9–12.1) to 25.7% (21.5–31.1) among men. In 2023, an estimated 1.54 billion adults (1.35–1.76) had MetS globally: 846 million (776–924) women and 692 million (579–837) men. Prevalence increased with age, urbanicity, and income level, ranging from 7.5% to 45.0% among women and 6.5% to 59.6% among men across regions. Among both women and men, prevalence increased in 196 countries and territories. These findings call for targeted interventions to address the rising global burden. The global burden of Metabolic syndrome is incompletely characterized. Here the authors report a systematic review and modelling study showing that global metabolic syndrome prevalence doubled from 2000 to 2023, now affecting 1.54 billion adults (31.0% of women, 25.7% of men), with higher rates in women, urban areas, and high-income countries, with disparities across regions.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Worldwide trends in metabolic syndrome from 2000 to 2023: a systematic review and modelling analysis
- Date Crossref
- 06/12/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
Institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.