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

Clare MacRae, Stewart W. Mercer, David Henderson, Megan McMinn, Daniel R. Morales, Emily Jefferson, Ronan A. Lyons, Jane Lyons, Chris Dibben, David A. McAllister, Bruce Guthrie

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
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Abstract

Background: Multimorbidity poses major challenges to healthcare systems worldwide. Definitions with cut-offs in excess of ≥2 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+ (≥2 LTCs), MM3+ (≥3 LTCs), MM3+ from 3+ (≥3 LTCs from ≥3 International Classification of Diseases, 10th revision chapters), and mental-physical MM (≥2 LTCs where ≥1 mental health LTC and ≥1 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.

Original languageEnglish
Article number10.3399/BJGP.2022.0405
Pages (from-to)e249-e256
Number of pages8
JournalBritish Journal of General Practice
Volume73
Issue number729
Early online date30 Mar 2023
DOIs
Publication statusPublished - Apr 2023

Keywords

  • Female
  • Humans
  • Multimorbidity
  • Cross-Sectional Studies
  • Prevalence
  • Socioeconomic Factors
  • United Kingdom/epidemiology
  • Primary Health Care
  • epidemiology
  • multimorbidity
  • primary care
  • socioeconomic disparities

ASJC Scopus subject areas

  • Family Practice

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