Predictors of admission and readmission to hospital for major depression: A community cohort study of 52,990 individuals.

Hamish Innes, James Lewsey, Daniel J Smith

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15 Citations (Scopus)
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BACKGROUND: Our current knowledge about predictors of admission and re-admission to hospital as a result of major depressive disorder (MDD) is limited. Here we present a descriptive analysis of factors which are associated with MDD hospitalisations within a large population cohort.

We linked participants of the Scottish Health Survey (SHS) to historical and prospective hospital admission data. We combined information from the SHS baseline interview and historical hospitalisations to define a range of exposure variables. The main outcomes of interest were: (1) first time admission for MDD occurring after the SHS interview; and (2) readmission for MDD. We used Cox regression to determine the association between each predictor and each outcome, after adjusting for age, gender and deprivation quintile.

52,990 adult SHS participants were included. During a median follow-up of 4.5 years per participant, we observed 530 first-time admissions for MDD. A relatively wide range of factors - encompassing social, individual health status, and lifestyle-related exposures - were associated with this outcome (p<0.05). Among the 530 participants exhibiting a de novo admission for MDD during follow-up, 118 were later re-admitted. Only older age (over 70) and a prior non-depression related psychiatric admission were associated with readmission for MDD.

MDD was defined using records of International Classification of Disease hospital discharge codes rather than formal diagnostic assessments.

These findings have implications for mental health service organisation and delivery and should stimulate future research on predictive factors for admission and readmission in MDD.
Original languageEnglish
Pages (from-to)10-14
Number of pages5
Journaljournal of affective disorders
Early online date23 Apr 2015
Publication statusPublished - 1 Sep 2015


  • depression
  • predictors


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