Evidence map›Paper›PMID 23179095›Full record

ArticleSocial psychiatry and psychiatric epidemiology2013

Risk factors for onset of multiple or long major depressive episodes versus single and short episodes.

Bauke T Stegenga, Mirjam I Geerlings, Francisco Torres-González, Miguel Xavier, Igor Svab, Brenda W Penninx, Irwin Nazareth, Michael King

Abstract readComparative StudyMulticenter Study
PubMed Publisher
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Predictors of depression severity in a treatment-seeking sample.International journal of clinical and health psychology : IJCHP
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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

8 authors.

Bauke T StegengaJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Stratenum 6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands.
Mirjam I Geerlings
Francisco Torres-González
Miguel Xavier
Igor Svab
Brenda W Penninx
Irwin Nazareth
Michael King

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMajor depressive disorder may vary according to number and duration of episodes. It is unclear whether risk factors for onset of multiple or long episodes of depression (MDE) differ from risk factors for the onset of single and short ones.

methodsData were used from a cohort study of 5,256 GP attendees without major depressive disorder at baseline, who were followed up three times (predictD). The numbers and duration of MDE were noted and categorized into no episodes, single and short (≤3 months), and multiple or long (>3 months) episodes at follow-up. Log-binomial regression models were used to calculate relative risks between the groups for 18 risk factors examined at baseline.

results165 persons (3 %) had a single and short MDE and 328 (6 %) had multiple or long MDE at follow-up. Lower education, anxiety, problems at work and financial strain significantly increased the risk of multiple or long MDE when compared to single and short MDE. Younger people were at reduced risk of multiple or long MDE.

conclusionsOur findings suggest that several risk factors can be identified that may help to predict onset of different types of MDE. These factors are easy to assess and may be used in the prevention of depression.

Indexed as

AdolescentAdultAgedFemaleHumansMajor Depressive DisorderMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsYoung Adult

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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.