Abstract

Background: The current study used data from an ethnically diverse population from South London to examine ethnic differences in physical and mental multimorbidity among working age (18-64 years) adults in the context of depression and anxiety.
Method: The study included 44,506 patients who had previously attended Improving Access to Psychological Therapies (IAPT) services in the London Borough of Lambeth. Multinomial logistic regression examined cross-sectional associations between ethnicity with physical and mental multimorbidity. Patterns of multimorbidity were identified using hierarchical cluster analysis.
Results: Within 44,056 working age adults with a history of depression or anxiety from South London there were notable ethnic differences in physical multimorbidity. Adults of Black Caribbean ethnicity were more likely to have physical multimorbidity (adjusted relative risk ratio (aRRR)=1.25, 95% confidence interval (CI)=1.15-1.36) compared to adults of White ethnicity. Relative to adults of White ethnicity, adults of Asian ethnicity were more likely to have physical multimorbidity at higher thresholds only (e.g., 4+ conditions; aRRR=1.53, 95% CI=1.17-2.00). Three physical (atopic, cardiometabolic, mixed) and three mental (alcohol/substance use, common/severe mental illnesses, personality disorder) multimorbidity clusters emerged. Ethnic minority groups with multimorbidity had a higher probability of belonging to the cardiometabolic cluster.
Conclusion: In an ethnically diverse population with a history of common mental health disorders, we found substantial between- and within-ethnicity variation in rates of physical, but not mental, multimorbidity. The findings emphasised the value of more granular definition of ethnicity when examining the burden physical and mental multimorbidity.
Original languageEnglish
JournalPsychological Medicine
Early online date24 Nov 2022
DOIs
Publication statusE-pub ahead of print - 24 Nov 2022

Fingerprint

Dive into the research topics of 'Ethnic differences in physical and mental multimorbidity in working age adults with a history of depression and/or anxiety'. Together they form a unique fingerprint.

Cite this