Type 2 & other diabetes

Long‐term weight maintenance and risk of cardiometabolic multimorbidity and its subtypes in middle‐aged and older adults: A pooled landmark analysis in China and the UK

Diabetes Obes MetabPublished Pooled analysis of two prospective cohort studies

Pooled result · Incident CMMResult — go to the resultHazard ratio 0.762 95% CI 0.669–0.868

Authors' conclusion

Higher TTR-BMI is an independent predictor of lower CMM risk in middle-aged and older adults, offering superior prognostic value for metabolic multimorbidity patterns. These findings highlight the clinical importance of prioritising long-term weight maintenance within a target range, rather than single time-point assessments, as a key strategy for delaying the onset of cardiometabolic disease.

Study context

Population
Adults aged ≥45 years from China Health and Retirement Longitudinal Study (CHARLS) (China) and English Longitudinal Study of Ageing (ELSA) (UK)
Participants
9,167 adults2 prospective cohorts
Comparison
Time in target range for body mass index (BMI): always in range vs never in range
Outcome
Incident cardiometabolic multimorbidity (CMM)
Methodological detailslandmark analysis, multivariable Cox proportional hazards models
  • Landmark analysis
  • Multivariable Cox proportional hazards models

Pooled result

Incident CMM

Hazard ratio

0.762

95% CI 0.669–0.868

Always in rangevs Never in range
HR 0.762 (95% CI 0.669–0.868)

As reported in the abstract

Each 1-SD increase in time in target range for BMI (TTR-BMI), HR
0.896 (95% CI 0.845-0.950)

Further pooled results

Cardiometabolic multimorbidity (CMM) subtype: co-occurrence of diabetes and dyslipidaemia

HR per TTR-BMI (95% CI 0.59-0.98); inverse association most pronounced for metabolic-dominant phenotypes
0.76

Subgroups

Associations robust across cohorts and stronger in men and individuals aged ≥60 years

Original publication

Long‐term weight maintenance and risk of cardiometabolic multimorbidity and its subtypes in middle‐aged and older adults: A pooled landmark analysis in China and the UK. Diabetes Obes Metab. Published 28 January 2026. doi:10.1111/dom.70519

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

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