Age, sex, and socioeconomic differences in multimorbidity measured in fourways: UK primary care cross-sectional analysis

Background Multimorbidity poses major challenges to healthcare systems worldwide. Definitions with cut-offs in excess of z2 long-term conditions (LTCs) might better capture populations with complexity but are not standardised.Aim To examine variation in prevalence using different definitions of multimorbidity.Design and setting Cross-sectional study of 1 168 620 people in England.Method Comparison of multimorbidity (MM) prevalence using four definitions: MM2+ (z2 LTCs), MM3+ (z3 LTCs), MM3+ from 3+ (z3 LTCs from z3 International Classification of Diseases, 10th revision chapters), and mental-physical MM (z2 LTCs where z1 mental health LTC and z1 physical health LTC are recorded). Logistic regression was used to examine patient characteristics associated with multimorbidity under all four definitions.Results MM2+ was most common (40.4%) followed by MM3+ (27.5%), MM3+ from 3+ (22.6%), and mental-physical MM (18.9%). MM2+, MM3+, and MM3+ from 3+ were strongly associated with oldest age (adjusted odds ratio [aOR] 58.09, 95% confidence interval [CI] = 56.13 to 60.14; aOR 77.69, 95% CI = 75.33 to 80.12; and aOR 102.06, 95% CI = 98.61 to 105.65; respectively), but mental-physical MM was much less strongly associated (aOR 4.32, 95% CI = 4.21 to 4.43). People in the most deprived decile had equivalent rates of multimorbidity at a younger age than those in the least deprived decile. This was most marked in mental-physical MM at 40-45 years younger, followed by MM2+ at 15-20 years younger, and MM3+ and MM3+ from 3+ at 10-15 years younger. Females had higher prevalence of multimorbidity under all definitions, which was most marked for mental-physical MM.Conclusion Estimated prevalence of multimorbidity depends on the definition used, and associations with age, sex, and socioeconomic position vary between definitions. Applicable multimorbidity research requires consistency of definitions across studies.

Automated summary

The definition of multimorbidity has a significant impact on the estimated prevalence, and it varies with age, sex, and socioeconomic position. Consistency in the definition of multimorbidity is crucial for applicable research.