Abstract
BACKGROUND: To examine how combinations of key lifestyle behaviors influence type 2 diabetes (T2D) onset using multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA).</p>
METHODS: We analysed 259,448 UK Biobank adults with up to 16 years of follow-up. Fruit and vegetable intake, physical activity, sleep duration, and alcohol consumption were dichotomised by meeting public health recommendations, while smoking was categorised as never, previous, or current. Cross-classification generated 48 lifestyle strata. Sex-stratified MAIHDA models were fitted with individuals nested within strata: Model 1 (no predictors), Model 2 (lifestyle behaviors), Model 3 (lifestyle plus confounders). Posterior summaries estimated variance partitioning coefficients (VPC), proportional change in variance (PCV), and strata-specific median T2D-free survival times.</p>
RESULTS: In Model over 7% (VPCs) of the variation in T2D onset on the log-hazard scale was attributable to strata differences. In both sexes, additive effects of individual behaviors explained around 93% (PCVs) of between-strata variance. Strata meeting most recommendations had the longest predicted survival, whereas those meeting few had the shortest. Never smoking and meeting physical activity guidelines consistently characterised longer survival.</p>
CONCLUSIONS: Variation in T2D onset is driven primarily by additive lifestyle effects rather than interactions. Each additional recommendation met progressively extends T2D-free survival.</p>