Predicting long-term recovery from depression in community settings in Western Europe: evidence from ODIN
- First Online:
- 150 Downloads
To test the impact of socio-economic and psychological adversity and healthcare on long-term recovery from depression.
A community sample of 347 people with depressive disorders was followed up after 9 years. Baseline socio-economic adversity, social support, healthcare use, and psychiatric history were identified. Respondents completed self-report instruments on current depressive status (Beck depression inventory) and longstanding psychosocial adversity (sexual, physical or emotional abuse). Univariate analyses tested for association between recovery and respondent characteristics.
Follow-up was achieved for 182 (52%) of the sample, of whom 75 (41%) indicated recovery from depression. Psychological adversity definitely and socio-economic adversity probably were associated with lack of recovery. Baseline healthcare had no apparent impact on outcome. Rurality and support after life events were associated with recovery. History of depression was associated with non-recovery.
Psychological adversity is, and socio-economic adversity may be, associated with long-term non-recovery from depression in community settings.
KeywordsDepression Community Recovery Adversity predictors
- 5.Casey P, Birbeck G, McDonagh C, Horgan A, Dowrick C, Dalgard O, Lethinen V, Ayuso-Mateos JL, Dunn G, Page H, Wilkinson C, Wilkinson G, Vazquez-Barquero JL, ODIN Group (2004) Personality disorder, depression and functioning: results from the ODIN study. J Affect Disord 82:277–283CrossRefPubMedGoogle Scholar
- 8.Dalgard OS, Dowrick C, Lehtinen V, Vazquez-Barquero JL, Casey P, Wilkinson G, Ayuso-Mateos JL, Page H, Dunn G, ODIN Group (2006) Negative life events, social support and gender difference in depression. A multinational community survey with data from the ODIN study. Soc Psychiatry Psychiatr Epidemiol 41:444–451CrossRefPubMedGoogle Scholar
- 11.Dowrick C (2004) Beyond Depression: a new approach to understanding and management. Oxford, Oxford University PressGoogle Scholar
- 20.King M, Weich S, Torres-González F, Svab I, Maaroos HI, Neeleman J, Xavier M, Morris R, Walker C, Bellón-Saameño JA, Moreno-Küstner B, Rotar D, Rifel J, Aluoja A, Kalda R, Geerlings MI, Carraça I, de Almeida MC, Vicente B, Saldivia S, Rioseco P, Nazareth I (2006) Prediction of depression in European general practice attendees: the PREDICT study. BMC Public Health 6:6CrossRefPubMedGoogle Scholar
- 23.Lamberg T, Virtanen P, Vahtera J, Luukkaala T, Koskenvuo M (2009) Unemployment, depressiveness and disability retirement: a follow-up study of the Finnish HeSSup population sample. Soc Psychiatry Psychiatr Epidemiol Jun 4 [Epub ahead of print]Google Scholar
- 25.Lehtinen V, Michalak E, Wilkinson C, Dowrick C, Ayuso-Mateos JL, Dalgard OS, Casey P, Vázquez-Barquero JL, Wilkinson G, ODIN Group (2003) Urban-rural differences in the occurrence of depressive disorder in Europe: evidence from the ODIN study. Soc Psychiatry Psychiatr Epidemiol 38:283–289PubMedGoogle Scholar
- 30.Moser K (2001) Inequalities in treated heart disease and mental illness in England and Wales 1994–1998. Br J Gen Practice 51:438–444Google Scholar
- 39.van Weel-Baumgarten E, Schers H, van den Bosch W, van den Hoogen HJ, Zitman FG (2000) Long-term follow-up of depression among patients in the community and in family practice settings: a systematic review. J Family Pract 49:1113–1120Google Scholar
- 41.World Health Organisation (1994) Schedule for clinical assessment in neuropsychiatry: version 2.0. WHO (Division of Mental Health), GenevaGoogle Scholar