Evidence map›Paper›PMID 23266663›Full record

ArticleSocial psychiatry and psychiatric epidemiology2013

Personality-related factors as predictors of help-seeking for depression: a population-based study applying the Behavioral Model of Health Services Use.

Georg Schomerus, Katja Appel, Peter J Meffert, Melanie Luppa, Ronald M Andersen, Hans J Grabe, Sebastian E Baumeister

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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 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 8% of its field
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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Georg SchomerusDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany, georg.schomerus@uni-greifswald.de.
Katja Appel
Peter J Meffert
Melanie Luppa
Ronald M Andersen
Hans J Grabe
Sebastian E Baumeister
Universitätsmedizin Greifswald · DEHeidelberg University · USLeipzig University · DEUniversity of Applied Sciences Stralsund · DEUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the prevalence of mental disorders and the demand for mental health services are increasing, little is known about the impact of personality-related factors on help-seeking among depressive individuals. We, therefore, investigated the relationship between the "Big Five" personality traits, resilience, alexithymia, childhood neglect or abuse, and help-seeking among depressive individuals.

methodsWe used data from 354 persons with a diagnosis of major depression from the population-based cohort study of health in Pomerania within the theoretical framework of the Andersen Behavioral Model of Health Services Use.

resultsUsing stepwise regression techniques, we found that older age, higher education, more perceived social support, presence of childhood abuse, higher levels of conscientiousness, lower levels of resilience, and more severe depression were associated with help-seeking for depression. In contrast, gender, extraversion, openness, agreeableness, neuroticism, and alexithymia did not significantly predict help-seeking. In addition, no evidence for gender-specific effects was observed.

conclusionPersonality-related predisposing factors are important predictors of help-seeking. The influence of resilience on help-seeking among depressed individuals merits further exploration.

Indexed as

PersonalityAdultAffective SymptomsAgedAged, 80 and overDepressionFemaleHealth Care SurveysHumansMaleMental Health ServicesMiddle AgedModels, PsychologicalPatient Acceptance of Health CarePersonality InventoryPopulation Surveillance

Identifiers

PMID23266663
OpenAlexW2093628312

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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.