Evidence mapPaperPMID 39478484Full record

ArticleBMC primary care2024

Is alcohol use disorder associated with higher rates of depression and anxiety among people with new onset type 2 diabetes? A cohort study using linked primary care data in England.

Sarah Cook, David Osborn, Rohini Mathur, Harriet Forbes, Ravi Parekh, Arti Maini, Ana Luisa Neves, Shamini Gnani, Thomas Beaney, Kate Walters and 2 more

Abstract read
In one paragraph

Article in BMC primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sarah CookSchool of Public Health, Imperial College London, London, UK. sarah.cook@imperial.ac.uk.
David OsbornDivision of Psychiatry, University College London, London, UK.
Rohini MathurWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Harriet ForbesDepartment of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Ravi ParekhSchool of Public Health, Imperial College London, London, UK.
Arti MainiSchool of Public Health, Imperial College London, London, UK.
Ana Luisa NevesSchool of Public Health, Imperial College London, London, UK.
Shamini GnaniSchool of Public Health, Imperial College London, London, UK.
Thomas BeaneySchool of Public Health, Imperial College London, London, UK.
Kate WaltersPrimary Care and Population Health, University College London, London, UK.
Sonia SaxenaSchool of Public Health, Imperial College London, London, UK.
Jennifer K QuintSchool of Public Health, Imperial College London, London, UK.

Funding

Barts Charity MGU0504National Institute for Health and Care Research MH055National Institute for Health and Care Research (NIHR) Senior Investigator AwardNIHR School for Public Health Research NIHR 20400Wellcome Trust
6 · The paper itself

Abstract

introductionDepression and alcohol use disorder (AUD) in people living with Type 2 diabetes mellitus (T2DM) are associated with worse health outcomes. AUD is strongly associated with depression and anxiety, but it is not known how these conditions cluster in people with T2DM. We investigated rates of new episodes of depression and anxiety following T2DM diagnosis in people with and without prior AUD among an English primary care population.

methodsThe study population was people diagnosed with T2DM between 2004 and 2019. We used the Clinical Practice Research Datalink (CPRD) Aurum database and linked Hospital Episode Statistics Admitted Patient Care (HES APC) and Office for National Statistics (ONS) mortality data. We examined incidence of new episodes of anxiety or depression in people with T2DM with and without AUD. AUD was defined as any of i) clinical diagnosis; ii) alcohol withdrawal; or iii) chronic alcohol-related harm (physical or mental) using SNOMED-CT or ICD-10 codes. People were excluded if they had codes for depression/anxiety 12 months prior to T2DM diagnosis. Poisson regression models were fitted adjusting sequentially for a) age, gender, calendar time; b) region, Index of Multiple Deprivation, ethnicity, body mass index, smoking status, Charlson co-morbidity index; and c) history of a mental health condition.

resultsOur study population was 479,447 people of whom 10,983 (2.3%) had an AUD code prior to T2DM diagnosis. After adjusting for all measured confounders except history of a mental health condition, IRR for depression was 2.00 (95% CI 1.93, 2.06) for people with AUD compared to without AUD. This reduced to 1.45 (95% CI 1.41, 1.50) after further adjustment for history of a mental health condition. Findings for anxiety were substantially similar to those for depression (adjusted for all measured confounders except history of a mental health condition, IRR 2.08 95% CI 1.99, 2.18 fully adjusted IRR 1.48 95% CI 1.41, 1.55).

conclusionsPeople with AUD have over double the rates of depression and anxiety following T2DM diagnosis than those without AUD. This was only partially explained by pre-existing diagnoses of mental health conditions. A holistic approach incorporating mental health support is needed to improve health outcomes for people with AUD who develop T2DM.

trial registrationNot applicable.

Indexed as

AlcoholismAnxietyDepressionDiabetes Mellitus, Type 2Primary Health CareAdultAgedCohort StudiesComorbidityEnglandFemaleHumansIncidenceMaleMiddle AgedAlcohol use disorderAnxietyDepressionDiabetesElectronic health recordsGeneral practice

Identifiers

PMID39478484
PMCPMC11523581

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.