Evidence map›Paper›PMID 25002763›Full record

ArticleJournal of neurosciences in rural practice2014

Clinical assessment of depression and type 2 diabetes in Morocco: Economical and social components.

Salma Bensbaa, Loubna Agerd, Saïd Boujraf, Chadya Araab, Rachid Aalouane, Ismail Rammouz, Farida Ajdi

Open access · goldAbstract read
In one paragraph

Article in Journal of neurosciences in rural practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. The prevalence of depression and its associated factors among patients with diabetes mellitus attending a tertiary clinic in Gaborone, Botswana.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2022
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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

7 authors at 2 institutions in 1 country.

Salma BensbaaDepartments of Endocrinology, Diabetology and Nutrition, Fez, Morocco.
Loubna AgerdDepartments of Endocrinology, Diabetology and Nutrition, Fez, Morocco.
Saïd BoujrafClinical Neuroscience Laboratory, University of Fez, Fez, Morocco ; Department of Biophysics and Clinical MRI Methods, University of Fez, Fez, Morocco.
Chadya AraabClinical Neuroscience Laboratory, University of Fez, Fez, Morocco ; Department of Psychiatry, University Hospital of Fez, Fez, Morocco.
Rachid AalouaneClinical Neuroscience Laboratory, University of Fez, Fez, Morocco ; Department of Psychiatry, University Hospital of Fez, Fez, Morocco.
Ismail RammouzClinical Neuroscience Laboratory, University of Fez, Fez, Morocco ; Department of Psychiatry, University Hospital of Fez, Fez, Morocco.
Farida AjdiDepartments of Endocrinology, Diabetology and Nutrition, Fez, Morocco.
Euro-Mediterranean University of Fes · MAAgence pour le Développement et la Réhabilitation de la Ville de Fès · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global prevalence of diabetes is increasing worldwide. In Morocco, diabetes and depression are major public health problems, requiring improvement in their care. Diabetes and depression are associated with morbidity and early mortality. This association contributes to raising the risk of the complications that occur, while causing higher suffering to patients, as also an increased cost toward healthcare.

aimThis study aims to assess the prevalence of depression in patients with type 2 diabetes (T2D), and identify the main risk factors for depression in this category of diabetic patients. PATIENTS AND

methodsType 2 diabetic patients and older than 18 years of age were recruited. The exclusion criteria included being type 1 diabetic, pregnant woman, hospitalized patients, a history of neurological disorders, such as, stroke, infectious episidodes, and history of psychiatric disorders. The individual patient data was collected through individual and confidential interviews lasting 30 minutes, at the end of the diabetology consultation, by the same diabetologist, trained to use the psychometric scales that were needed. The Moroccan-Arabic version of the Beck diagnostic scale of depression was used. Patients assessed with depressive disorders were reviewed in a specialized psychiatric consultation. The statistical analysis was achieved by using SPSS package (version 17). We retained a threshold P value of 0.05. SETTINGS AND

designA cross-sectional study was conducted that included adults with type 2 diabetes. The depression diagnosis was performed using the Arabic version of the Beck Depression scale. STATISTICAL ANALYSIS: We included 142 patients with type 2 diabetes, with an average age of 56.26 years. The prevalence of depression was 33.1%. The risk factors recognized for depression were, lack of social security, hypertension, and a history of type 2 diabetes of more than five years. RESULTS AND

conclusionsIn this study, we have focused on the frequent association of 'Type 2 diabetes and depression' and the risk of mutual aggravation of both pathologies that might require multidisciplinary healthcare, as well as, improvement in the risk factors of depression through improved access to healthcare, with the extension of social security. The stability of the healthcare personnel involved in the treatment of both chronic diseases, including diabetes and hypertension screening, should also be considered for better management of psychiatric complications.

Indexed as

Degenerative complicationsdepressionrisk factorstype 2 diabetes

Identifiers

PMID25002763
PMCPMC4078608
OpenAlexW2089831516

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.