Literature DB >> 12861441

Epidemiology of major depression in a predominantly rural health region.

Scott B Patten1, Heather L Stuart, Margaret L Russell, Colleen J Maxwell, Julio Arboleda-Flórez.   

Abstract

BACKGROUND: Several large-scale cross-sectional studies have evaluated the prevalence of major depression in Canadian populations. Few studies have employed prospective methods, which are necessary to evaluate incidence, and few have focused on predominantly rural areas.
METHODS: Subjects who had participated in a cross-sectional general health survey were invited to participate in a second wave of data collection 6 months later. These subjects were recontacted using a telephone interview. A brief diagnostic instrument for major depression was used in both waves,and a variety of other variables relevant to the epidemiology of major depression were measured.
RESULTS: Of 801 subjects initially enrolled, 666 (83.1 %) consented to be recontacted, and 501 (75.2 %) of these were successfully reached. The incidence of major depression was 3.8%. The incidence was higher in women, although this difference did not attain statistical significance. Having a past history of depression and having a high level of perceived stress were predictors of risk. An exploratory comparison with data collected using similar methods in a nearby urban centre determined that the rural prevalence was lower than urban, and that a variety of factors (street drugs, deficits in social support, unemployment, recent life events) may contribute have to this difference.
CONCLUSIONS: The 6-month cumulative incidence of depressive disorder was much higher than that reported by most previous studies. This may be a result of the diagnostic instrument employed, which captures a broader spectrum of depressive morbidity than the instruments used in most previous studies. Also, as the study did not exclude subjects with previous depressive episodes during their lifetime, the incidence rate reflects risks of major depressive episodes rather than major depressive disorders.

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Year:  2003        PMID: 12861441     DOI: 10.1007/s00127-003-0651-2

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  7 in total

Review 1.  Chronic stress- and sex-specific neuromorphological and functional changes in limbic structures.

Authors:  Katie J McLaughlin; Sarah E Baran; Cheryl D Conrad
Journal:  Mol Neurobiol       Date:  2009-07-31       Impact factor: 5.590

2.  Detection of major depression in Ugandan primary health care settings using simple questions from a subjective well-being (SWB) subscale.

Authors:  Wilson Winstons Muhwezi; Hans Agren; Seggane Musisi
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2006-11-02       Impact factor: 4.328

3.  Co-morbidity and health care utilisation five years prior to diagnosis for depression. A register-based study in a Swedish population.

Authors:  David Andersson; Henrik Magnusson; John Carstensen; Lars Borgquist
Journal:  BMC Public Health       Date:  2011-07-12       Impact factor: 3.295

4.  Accumulation of major depressive episodes over time in a prospective study indicates that retrospectively assessed lifetime prevalence estimates are too low.

Authors:  Scott B Patten
Journal:  BMC Psychiatry       Date:  2009-05-08       Impact factor: 3.630

5.  Allergies and major depression: a longitudinal community study.

Authors:  Scott B Patten; Jeanne V A Williams; Dina H Lavorato; Michael Eliasziw
Journal:  Biopsychosoc Med       Date:  2009-01-26

6.  The effect of major depression on participation in preventive health care activities.

Authors:  Scott B Patten; Jeanne V A Williams; Dina H Lavorato; Michael Eliasziw
Journal:  BMC Public Health       Date:  2009-03-25       Impact factor: 3.295

7.  High prevalence of diagnosis of diabetes, depression, anxiety, hypertension, asthma and COPD in the total population of Stockholm, Sweden - a challenge for public health.

Authors:  Axel C Carlsson; Per Wändell; Urban Ösby; Ramin Zarrinkoub; Björn Wettermark; Gunnar Ljunggren
Journal:  BMC Public Health       Date:  2013-07-18       Impact factor: 3.295

  7 in total

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