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Derivation of a prediction model for a diagnosis of depression in young adults : a matched case-control study using electronic primary care records

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Nichols, Linda, Ryan, Ronan, Connor, Charlotte, Birchwood, Max and Marshall, Tom (2016) Derivation of a prediction model for a diagnosis of depression in young adults : a matched case-control study using electronic primary care records. Early Intervention in Psychiatry, 12 (3). pp. 444-455. doi:10.1111/eip.12332 ISSN 1751-7885.

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Official URL: http://dx.doi.org/10.1111/eip.12332

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Abstract

Background:
Approximately 80 000 children and young people in the UK suffer from depression, but many are untreated because of poor identification of early warning signs and risk factors.

Aims:
This study aimed to derive and to investigate discrimination characteristics of a prediction model for a first recorded diagnosis of depression in young people aged 15–24 years.

Method:
This study used a matched case–control method using electronic primary care records. Stepwise conditional logistic regression modelling investigated 42 potential predictors including symptoms, co‐morbidities, social factors and drug and alcohol misuse.

Results:
Of the socio‐economic and symptomatic predictors identified, the strongest associations were with depression symptoms and other psychological conditions. School problems and social services involvement were prominent predictors in men aged 15–18 years, work stress in women aged 19–24 years.

Conclusion:
Our model is a first step in the development of a predictive model identifying early warning signs of depression in young people in primary care.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences > Mental Health and Wellbeing
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
Journal or Publication Title: Early Intervention in Psychiatry
Publisher: Wiley-Blackwell Publishing Ltd.
ISSN: 1751-7885
Official Date: 29 May 2016
Dates:
DateEvent
29 May 2016Published
30 March 2016Available
18 February 2016Accepted
Volume: 12
Number: 3
Page Range: pp. 444-455
DOI: 10.1111/eip.12332
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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