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Prediabetes transitions to normoglycaemia or type 2 diabetes and associated risk factors in the Obesity, Diabetes and Cardiovascular Disease Collaboration: an individual-level pooled analysis of 19 prospective cohort studies
Deakin Univ, Inst Mental & Phys Hlth & Clin Translat, Fac Hlth, Sch Med Barwon Hlth, Geelong, Vic 3220, Australia. Deakin Univ, Fac Hlth, Biostat Unit, Geelong, Vic, Australia..
Deakin Univ, Inst Mental & Phys Hlth & Clin Translat, Fac Hlth, Sch Med Barwon Hlth, Geelong, Vic 3220, Australia. Deakin Univ, Fac Hlth, Biostat Unit, Geelong, Vic, Australia..
Univ New South Wales, George Inst Global Hlth, Sydney, NSW, Australia.;Deakin Univ, Fac Hlth, Melbourne, Vic, Australia..
Curtin Univ, Sch Populat Hlth, Perth, WA, Australia..
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2025 (English)In: The Lancet Global Health, E-ISSN 2214-109X, Vol. 13, no 9, p. 1533-1542Article in journal (Refereed) Published
Abstract [en]

Background: With the increasing global burden of type 2 diabetes, prevention strategies that target prediabetes, a state of hyperglycaemia that puts individuals at high risk of type 2 diabetes, are required. We aimed to estimate global rates of transition from prediabetes to normoglycaemia or type 2 diabetes, stratified by age, sex, and race and ethnicity. We also aimed to quantify the effect of modifiable and non-modifiable risk factors on these transitions.

Methods: In this pooled analysis of individual-level data, we included original data from 19 prospective cohort studies conducted in Asia (Iran and Japan), Australia, Europe (Spain and Sweden), North America (USA and Mexico), and South America (Venezuela). We applied discrete-time hidden Markov models to estimate rates and ratios of prediabetes transitions to type 2 diabetes and normoglycaemia specific to age, sex, and race and ethnicity. We used Fine-Gray competing risk models to derive cohort-specific subhazard ratios (SHRs) for potential risk factors influencing these transitions. We subsequently pooled these SHRs using a random-effects meta-analysis. In subgroup analyses stratified by age, sex, race and ethnicity, and recruitment period, we used multivariate Cox models to investigate the degree of heterogeneity between studies.

Findings: 76 092 participants (39 842 [52·3%] women and 36 250 [47·6%] men; mean age 51·1 years [SD 12·7]) with available data on glycaemic status from at least one follow-up visit were included in the analysis, of whom 56 837 (74·7%) had normoglycaemia and 19 255 (25·3%) had prediabetes. Median follow-up was 9·8 years (IQR 5·8-12·5). Within 10 years, individuals with prediabetes had a 12·5% probability of progressing to type 2 diabetes, whereas the probability of reverting to normoglycaemia was 36·1%. However, in the highest fasting plasma glucose quartile, the probability of progression increased to 16·1% and reversion decreased to 13·4%. Male sex, older age (≥ 55 years), and Latinx populations were associated with an increased risk of transitioning to type 2 diabetes. Risk factors that significantly reduced prediabetes reversion to normoglycaemia were overweight (SHR 0·88 [95% CI 0·76-0·99]), obesity (0·66 [0·52-0·81]), elevated waist-to-height ratio (0·82 [0·70-0·95]), elevated waist-to-hip ratio (0·79 [0·68-0·91]), and reduced HDL concentration (0·72 [0·59-0·84]).

Interpretation: Our findings highlight that reversion to normoglycaemia was more common than progression to type 2 diabetes among individuals with prediabetes, and that these transitions were strongly influenced by modifiable risk factors. The increased risk of progression with advancing age and among men underscores the importance of early identification and targeted interventions in population groups at high risk of type 2 diabetes. Furthermore, the elevated progression risk in individuals with higher fasting plasma glucose concentrations at baseline reinforces the need for timely detection and intervention during this crucial clinical window. 

Place, publisher, year, edition, pages
Elsevier, 2025. Vol. 13, no 9, p. 1533-1542
National Category
Endocrinology and Diabetes
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URN: urn:nbn:se:uu:diva-570838DOI: 10.1016/S2214-109X(25)00237-2ISI: 001592009100016OAI: oai:DiVA.org:uu-570838DiVA, id: diva2:2012138
Available from: 2025-11-07 Created: 2025-11-07 Last updated: 2025-11-07Bibliographically approved

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Giedraitis, VilmantasZethelius, Björn

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