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Initiation of antidepressant medication in people with type 2 diabetes living in the UK – a retrospective cohort study

Pal, Kingshuk; Sharma, Manuj; Mukadam, Naaheed M; Petersen, Irene; (2022) Initiation of antidepressant medication in people with type 2 diabetes living in the UK – a retrospective cohort study. Pharmacoepidemiology & Drug Safety , 31 (8) pp. 892-900. 10.1002/pds.5484. Green open access

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Abstract

INTRODUCTION: Depression is a common comorbidity in people with type 2 diabetes and it is associated with poorer outcomes. There is limited data on the treatments used for depression in this population. The aim of this study was to explore the rates of initiation of antidepressant prescriptions in people with type 2 diabetes in the UK and identify those most at risk of needing such treatment. RESEARCH DESIGN AND METHODS: This was a retrospective cohort study using data from IQVIA Medical Research Data (IMRD)-UK data. Data from general practices in IMRD-UK between January 2008 and December 2017 were used for this study. RESULTS: The overall rates of antidepressant prescribing were stable over the study period. The rate of initiation of antidepressant medication in people with type 2 diabetes was 22.93 per 1000 person years at risk (PYAR) with a 95%CI 22.48 to 23.39 compared to 16.89 per 1000 PYAR (95%CI 16.77 to 17.01) in an age and gender matched cohort. The risk of being prescribed anti-depressant medication with age had a U-shaped distribution with the lowest risk in the 65-69 age group. The peak age for antidepressant initiation in men and women was 40-44, with a rate in men of 32.78 per 1000 PYAR (95% CI 29.57 to 36.34) and a rate in women of 46.80 per 1000 PYAR (95% CI 41.90 to 52.26). People with type 2 diabetes with in the least deprived quintile had an initiation rate of 19.66 per 1000 PYAR (95%CI 18.67 to 20.70) compared to 27.19 per 1000 PYAR (95%CI 25.50 to 28.93) in the most deprived quintile, with a 32% increase in the risk of starting antidepressant medication (95%CI 1.22 to 1.43). CONCLUSIONS: People with type 2 diabetes were 30% more likely to be started on antidepressant medication than people without type 2 diabetes. Women with type 2 diabetes were 35% more likely than men to be prescribed antidepressants and the risks increased with deprivation and in younger or older adults, with the lowest rates in the 65-69 year age band. The rates of antidepressant prescribing were broadly stable over the 10-year period in this study. The anti-depressant medications prescribed changed slightly over time with sertraline becoming more widely used and fewer prescriptions of citalopram.

Type: Article
Title: Initiation of antidepressant medication in people with type 2 diabetes living in the UK – a retrospective cohort study
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/pds.5484
Publisher version: https://doi.org/10.1002/pds.5484
Language: English
Additional information: © 2022 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
Keywords: Antidepressant, depression, type 2 diabetes
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Primary Care and Population Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry > Mental Health of Older People
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry
URI: https://discovery.ucl.ac.uk/id/eprint/10149936
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