Evidence map›Paper›PMID 36774468›Full record

ArticleBMC psychiatry2023

Prevalence and associated factors of stress and anxiety among female employees of hawassa industrial park in sidama regional state, Ethiopia.

Etenesh Kefelew, Adane Hailu, Mesfin Kote, Awgchew Teshome, Firehiwot Dawite, Mesfin Abebe

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

6 authors at 2 institutions in 1 country.

Etenesh KefelewSchool of Public Health, College of Medicine and Health Science, Arba Minch University, Arba Minch, Ethiopia. etu10ke@gmail.com.
Adane HailuDore Bafano Primary Hospital, Sidama, Ethiopia.
Mesfin KoteSchool of Public Health, College of Medicine and Health Science, Arba Minch University, Arba Minch, Ethiopia.
Awgchew TeshomeSchool of Public Health, College of Medicine and Health Science, Arba Minch University, Arba Minch, Ethiopia.
Firehiwot DawiteSchool of Public Health, College of Medicine and Health Science, Arba Minch University, Arba Minch, Ethiopia.
Mesfin AbebeDepartment of Midwifery, College of Medicine and Health Science, Dilla University, Dilla, Ethiopia.
Arba Minch University · ETDilla University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWork-related stress and anxiety are emerging global public health problems causing serious social and economic consequences. Working women bear a heavy burden due to high social disparity, gender inequality, and an important responsibility to balance work and family life in undeveloped society.

objectiveTo assess the prevalence and associated factors of work related stress and anxiety among female employees of Hawassa industrial park in Sidama Region, Ethiopia, 2021.

methodsInstitution-based cross-sectional study design was conducted among 417 female employees using structured interviewer-administered questionnaires and depression, Anxiety, and Stress scale (DASS) 21 items. A simple random sampling technique was used through the computer-generated random method. The outcome variables were work related stress and anxiety. Work related stress and anxiety were ascertained using the DASS 21( stress ≥ 15 &anxiety8 - 14). The associated factors assessed included sociodemographic, behavioral factor, job and organization related factors, past illness and social support related factors. Bivariate and multivariable logistic regression analyses were done. The strength of association was declared by using an adjusted odds ratio (AOR) with a 95% confidence interval and, the statistical significance of P-value < 0.05.

resultThe prevalence of work-related stress and anxiety were 59.3% [95% CI: (54.7, 63.9)] and 79.8% [95% CI: 75.5, 83.6)] respectively. Respondents with single marital status [AOR = 5.31, 95% CI: (1.68, 16.86)], having chronic illness [AOR = 4:00, 95% CI: (1.24, 12.9)], and current alcohol drinking [AOR = 12.5, 95% CI: (4.56, 34.2)] were significantly associated with stress. Likewise, being single in marital status [AOR = 1.99, 95% CI: (1.15, 3.46)], poor social support [AOR = 3.78, 95% CI: (1.53, 9.35)], overtime work [AOR = 2.31, 95% CI: (1.12, 4.74)], having work experience (3-4 years) [AOR = 4.71, 95% CI: (1.49, 14.84)], and fear of losing job [AOR = 1.72, 95% CI: (1.01, 2.93)] were significantly associated with anxiety.

conclusionThe prevalence of work-related stress and anxiety was high in the study area. Marital status, alcohol drinking, and chronic illnesses were factors associated with work-related stress. In contrast the fear of losing a job, work experience, overtime work, and having poor social support were factors associated with anxiety.. The significant factors identified in this study can be targeted to reduce the occurrence of work related stress and anxiety among women through designing preventive programs and strategies which includes acknowledging the importance of mental health services for the welfare of the public, screening for work related stress and anxiety, counselling, and the provision of support for women as well as lifestyle modification.

Indexed as

AnxietyOccupational StressCross-Sectional StudiesEthiopiaFemaleHumansPrevalenceAnxietyAssociated factorsFemaleHawassa industrial parkPrevalenceStress

Identifiers

PMID36774468
PMCPMC9919739
OpenAlexW4320036916

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.