European Psychiatry (Jun 2022)

Ethnic disparities in multi-morbidity in women of reproductive age in the UK: a data linkage study

  • R. Catalao,
  • M. Ashworth,
  • S. Hatch,
  • L. Howard

DOI
https://doi.org/10.1192/j.eurpsy.2022.1530
Journal volume & issue
Vol. 65
pp. S597 – S598

Abstract

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Introduction Few studies have explored ethnic inequalities in physical and mental health in women at preconception. Objectives Explore inequalities in multimorbidity in women of reproductive age. Methods Data from Lambeth DataNet, anonymized primary care records of this ethnically diverse London borough, linked to anonymized electronic mental health records (“CRIS secondary care database”) were extracted on preconception risk factors including BMI, smoking, alcohol, substance misuse, micronutrient deficiencies and physical health diagnoses for women aged 15-40 with an episode of secondary mental health care (January 2008-December 2018) and no pregnancy codes (n=3,633) and a 4:1 age-matched comparison cohort (n=14,532) . Results Women in contact with mental health services (whether with or without SMI diagnoses) had a higher prevalence of all risk factors and physical health diagnoses studied after adjustment for deprivation and ethnicity. Women from minority ethnic groups [79.5% of total sample] were less likely to be diagnosed with depression in primary care compared to White British women [adj OR 0.66 (0.55- 0.79) p<0.001] and Black women were more likely to have a severe mental illness [adj OR 3.41(2.63-4.43), p<0.001]. Black and Asian women were less likely to smoke or misuse substances and more likely to be vitaminD deficient. Black women were also significantly more likely to be overweight [adj OR 4.56(3.96-5.24 p <0.001] and have two or more physical health conditions [adj OR 2.98(2.19-4.07) p<0.001] than White British women after adjustment for deprivation and SMI diagnoses. Conclusions Our results highlight a need for culturally centered integrative models of care across primary and secondary mental health services. Disclosure Closing the Gap is funded by UK Research and Innovation and their support is gratefully acknowledged (Grant reference: ES/S004459/1). Any views expressed here are those of the project investigators and do not necessarily represent the views of the Closing

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