Evidence map›Paper›PMID 32912179›Full record

ArticleBMC public health2020

Hospital admissions for non-communicable disease in the UK military and associations with alcohol use and mental health: a data linkage study.

L Goodwin, D Leightley, Z E Chui, S Landau, P McCrone, R D Hayes, M Jones, S Wessely, N T Fear

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 18% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

L GoodwinDepartment of Psychology, University of Liverpool, Room 2.31 Eleanor Rathbone Building, Liverpool, L69 7ZA, UK. laura.goodwin@liverpool.ac.uk.ORCID http://orcid.org/0000-0002-0354-7787
D LeightleyKing's Centre for Military Health Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Z E ChuiKing's Centre for Military Health Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
S LandauBiostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
P McCroneInstitute for Lifecourse Development, University of Greenwich, London, UK.
R D HayesPsychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
M JonesKing's Centre for Military Health Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
S WesselyKing's Centre for Military Health Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
N T FearKing's Centre for Military Health Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
King's College London · GBUniversity of Greenwich · GBUniversity of Liverpool · GB

Funding

Economic and Social Research Council ES/L014521/1Medical Research Council MR/J01219X/1
6 · The paper itself

Abstract

backgroundSince the recent conflicts in Iraq and Afghanistan, the short-term focus of military healthcare research has been on the consequences of deployment for mental health and on those wounded or injured in combat. Now that these conflicts have ended for the UK Armed Forces, it is important to consider the longer term physical and mental health consequences, and just as importantly, the links between these. The aims of this study were to determine the most common physical conditions requiring a hospital admission in UK military personnel and whether they were more common in personnel with a mental health condition, smokers, and/or those misusing alcohol compared to those without.

methodsData linkage of a prospective UK military cohort study to electronic admitted patient care records for England, Wales and Scotland. Nine thousand nine hundred ninety military personnel completed phase 2 of a military cohort study (56% response rate, data collected from 2007 to 2009), with analyses restricted to 86% of whom provided consent for linkage to healthcare records (n = 8602). Ninety percent were male and the mean age at phase 2 was 36 years. The outcome was physical non communicable diseases (NCDs) requiring a hospital admission which occurred after phase 2 of the cohort when the mental health, smoking and alcohol use exposure variables had been assessed until the end of March 2014.

resultsThe most common NCDs requiring a hospital admission were gastrointestinal disorders 5.62% (95% Confidence Intervals (CI) 5.04, 6.19) and joint disorders 5.60% (95% CI 5.02, 6.18). Number of NCDs requiring a hospital admission was significantly higher in those with a common mental disorder (Hazard ratio (HR) 1.40 (95% CI 1.16-1.68), post-traumatic stress disorder (HR 1.78 (95% CI 1.32-2.40)) and in current smokers (HR 1.35 (95% CI 1.12-1.64) compared to those without the disorder, and non-smokers, respectively.

conclusionsMilitary personnel with a mental health problem are more likely to have an inpatient hospital admission for NCDs compared to those without, evidencing the clear links between physical and mental health in this population.

Indexed as

Mental DisordersMilitary PersonnelNoncommunicable DiseasesStress Disorders, Post-TraumaticAfghan Campaign 2001-AfghanistanCohort StudiesEnglandFemaleHospitalsHumansInformation Storage and RetrievalIraqIraq War, 2003-2011MaleMental HealthAlcohol useArmed forcesCohort studyData linkageElectronic healthcare recordsMental healthMilitaryNon-communicable diseasePost-traumatic stress disorder

Identifiers

PMID32912179
PMCPMC7488237
OpenAlexW3084112168

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Registered trials

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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 OpenQuestion graph.