Evidence map›Paper›PMID 35687258›Full record

ArticleJournal of prevention (2022)2022

Depression in Public Servants of Upper Egypt: Gender-specific Prevalence and Determining Factors.

Ehab Salah Eshak, Tarek Ahmed Abd-El Rahman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of prevention (2022), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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

2 authors at 2 institutions in 2 countries.

Ehab Salah EshakPublic Health Department, Faculty of Medicine, Minia University, Main Road, Shalabyland, El-Minia, 61511, El-Minia, Egypt. ehab@pbhel.med.osaka-u.ac.jp.ORCID 0000-0002-3564-1938
Tarek Ahmed Abd-El RahmanPublic Health Department, Faculty of Medicine, Minia University, Main Road, Shalabyland, El-Minia, 61511, El-Minia, Egypt.
Minia University · EGOsaka Health Science University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health disorders, including depression, cause more than half of worldwide disabilities. We aimed to estimate the prevalence of depression and determine its associated factors among Egyptian public servants. We collected data from 3134 subjects (1619 females and 1515 males) via a self-administered questionnaire, including the Center of Epidemiological Studies-Depression (CES-D) scale, medical history, sociodemographic, familial, occupational, and behavioral characteristics of the recruited Egyptian Public servants. We used logistic and linear regression models to assess the determinants of depression. The prevalence of depression was 43.5% (52.9% in females and 33.4% in males) among public servants. The past history of depression was a significant determining factor of depression; adjusted odds ratio (aOR): 95% confidence interval (CI) was 2.58 (1.87, 3.57) in females and 3.28 (2.20, 4.87) in males. Other determinants were daily working hours: aOR = 1.11 (1.02, 1.19) and high job demands: aOR = 2.19 (1.40-3.41) in males, and the high job control in females: aOR = 0.51 (0.36, 0.73). With the past history of depression, job demands, job control, family structure, education level, and working status of the spouse predicted 41% of the total variance in the CES-D score in females; R

Indexed as

DepressionEgyptFemaleHumansMaleOdds RatioPrevalenceSex FactorsSurveys and QuestionnairesDepressionDeterminantsEgyptGenderPublic servants

Identifiers

PMID35687258
PMCPMC9186271
OpenAlexW4281713410

What OpenQuestion holds

Textmetadata
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.