Evidence map›Paper›PMID 33530980›Full record

ArticleBMC psychiatry2021

Common mental disorders among seasonal migrant farmworkers in Northwest Ethiopia.

Kassahun Alemu Gelaye, Malede Mequanent Sisay, Temesgen Yihunie Akalu, Destaw Fetene Teshome, Haileab Fekadu Wolde, Getu Debalkie Demissie, Sintayehu Daba Wami, Telake Azale, Tadesse Awoke Ayele

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  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

9 authors at 1 institution in 1 country.

Kassahun Alemu GelayeDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Malede Mequanent SisayDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. maledecsa@gmail.com.ORCID 0000-0002-8546-0959
Temesgen Yihunie AkaluDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Destaw Fetene TeshomeDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Haileab Fekadu WoldeDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Getu Debalkie DemissieDepartment of Health Promotion and Behavioral Sciences, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
Sintayehu Daba WamiDepartment of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Telake AzaleDepartment of Health Promotion and Behavioral Sciences, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
Tadesse Awoke AyeleDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
University of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeasonal migrant farmworkers in Ethiopia are a vulnerable segment of the population facing numerous threats to their mental health. This research aimed to determine the magnitude of common mental disorders (CMDs) and its associated factors among seasonal migrant farmworkers in the northwest of Ethiopia.

methodsA cross-sectional study was conducted. A total of 950 seasonal migrant farmworkers were selected randomly. CMDs were assessed using the self-reporting questionnaire (SRQ-20) and a structured questionnaire was employed to collect the associated characteristics of socio-demographic data. Data were analyzed using descriptive statistics, bivariate, and multivariable binary logistic regression. The adjusted odds ratio (AOR) with a 95% confidence level was used to declare a statistically significant association with CMDs.

resultsThe prevalence of CMDs was found to be 23.05% (219/950; 95% CI 20.47-25.84) among seasonal migrant farmworkers. The prevalence of psychological stress was 74.53% (708/950; 95% CI 71.65-77.20). Having a daily income below USD 5 (AOR = 1.53, 95% CI: 1.10-2.15), moderate perceived stress (AOR = 3.18, 95% CI: 1.18, 5.36), severe perceived stress (AOR = 16.15, 95% CI: 8.96, 29.11), and heat-related illness (AOR = 1.60, 95% CI: 1.11, 2.30) were associated with a higher likelihood of experiencing CMD. On the other hand, those seasonal migrant farmworkers who migrated for the first time (AOR = 0.38, 95% CI: 0.23-0.65) and those who received health related information (AOR = 0.60, 95% CI: 0.42, 0.85) were less likely to have CMDs.

conclusionIn this study, CMDs were found to be prevalent among seasonal migrant farmworkers. These findings highlight the importance of systematic development of community-based mental health services in combination with rural primary health care centers and an integrated approach to the health care of farmworkers such as screening, early identification, and treatment of CMDs of seasonal migrant farmworkers.

Indexed as

Mental DisordersTransients and MigrantsCross-Sectional StudiesEthiopiaFarmersHumansSeasonsEthiopiaFarmersMental disordersSocial determinants of health

Identifiers

PMID33530980
PMCPMC7852114
OpenAlexW3128951959

What OpenQuestion holds

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LicenceCC BY
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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.