Evidence map›Paper›PMID 23885517›Full record

ReviewInternational journal of psychiatry in medicine2012

Predictors of depression symptoms in patients with diabetes in Slovakia.

Marek Majdan, Lenka Krajcovicova, Jarmila Pekarcikova, Razvan Chereches, Monica O'Mullane

Abstract readCase ReportsReview
In one paragraph

Review in International journal of psychiatry in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Marek MajdanDepartment of Public Health, Trnava University, Slovakia. mmajdan@truni.sk
Lenka Krajcovicova
Jarmila Pekarcikova
Razvan Chereches
Monica O'Mullane

Funding

Finances and Mental Health Services in Czech RepublicD43TW005810 · FIC · UNIVERSITY OF CALIFORNIA BERKELEY · PI SCHEFFLER, RICHARD M · 2001 to 2010
$2.3M
FIC NIH HHS D43 TW005810FIC NIH HHS TW014605-010
6 · The paper itself

Abstract

objectiveThe patterns of relationships between diabetes and depression in countries of central and eastern Europe (CEE) might differ from those in countries of western Europe and the United States. Among the reasons are specifics of transitioning healthcare systems (including mental health) and the general social, cultural, and economic background of these countries. The aim of this article is to analyze the prevalence of depression symptoms in patients with diabetes in Slovakia and to identify its predictors.

methodDiabetes patients (N= 1043) from two diabetes outpatient-care offices were recruited for the study. The Patient Health Questionnaire 9 (PHQ-9) was applied to screen for depression symptoms. Patients were categorized into four categories based on depression symptom severity. Demographic and disease-related factors were analyzed as predictors of depression symptoms.

resultsIn the univariate analysis, a number of factors were associated with increasing severity of depression symptoms. In the multivariate analysis, lower education (OR 0.52; Cl 95% 0.33-0.81), and high degree of self-perceived severity of illness (OR 5.33; CI 95% 2.47-12.12) were confirmed as independent predictors of depression symptoms in our patients.

conclusionsDemographic and psychological factors have an important role in developing depression symptoms in patients with diabetes in our population. Further studies into the topic are needed to gain further clues on this topic throughout the Central European region. The findings of this study should be considered by mental health service providers and public health authorities to raise awareness about this important issue.

Indexed as

AdultAgedComorbidityCross-Sectional StudiesDepressionDiabetes ComplicationsDiabetes Mellitus, Type 2FemaleHumansMaleMass ScreeningMiddle AgedPredictive Value of TestsPrevalenceSeverity of Illness IndexSlovakia

Identifiers

PMID23885517
PMCPMC3819566

What OpenQuestion holds

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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.