Type 2 & other diabetes

Heterogeneity in type 2 diabetes onset across combinations of lifestyle behaviours in the UK Biobank

Diabetes Res Clin PractPublished Population-based cohort study

Authors' conclusion

Variation in T2D onset is driven primarily by additive lifestyle effects rather than interactions. Each additional recommendation met progressively extends T2D-free survival.

Study context

Population
UK Biobank adults with up to 16 years of follow-up; fruit and vegetable intake, physical activity, sleep duration, alcohol (meeting public health recommendations or not) and smoking (never, previous, current)
Participants
259,448 adults
Exposure
Combinations of lifestyle behaviours and T2D onset
Outcome
T2D onset
Follow-up
Up to 16 years
Methodological detailsmultilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA), sex-stratified, 48 lifestyle strata
  • Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)
  • Sex-stratified
  • 48 lifestyle strata

Main finding

As reported in the abstract

Variation in T2D onset (log-hazard scale) attributable to strata differences (variance partitioning coefficients (VPCs))

over 7%

Between-strata variance explained by additive effects of individual behaviours, both sexes (proportional change in variance (PCVs))

around 93%

Observational data: associations, not effects.

Further findings

Strata-specific median T2D-free survival

Strata meeting most recommendations had the longest predicted survival; those meeting few had the shortest
Never smoking and meeting physical activity guidelines consistently characterised longer survival

Original publication

Heterogeneity in type 2 diabetes onset across combinations of lifestyle behaviours in the UK Biobank. Diabetes Res Clin Pract. Published 13 July 2026. doi:10.1016/j.diabres.2026.113434

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.