Evidence map›Paper›PMID 35784666›Full record

ArticleSAGE open medicine2022

Magnitude and risk factors of chronic respiratory symptoms among municipal street sweepers in Dessie and Kombolcha City, Northeast, Ethiopia: Cross-sectional study.

Elias Manaye, Yibekal Manaye, Mengesha Birkie

Abstract read
In one paragraph

Article in SAGE open medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
–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

5 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Prevalence and Associated Factors of Chronic Respiratory Symptoms among Street Sweepers in Bangkok, Thailand: A Cross-sectional Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

3 authors.

Elias ManayeSchool of Medicine, Wollo University, Wollo, Ethiopia.
Yibekal ManayeDepartment of Public Health, School of Medicine and Health Science, Dire-Dawa University, Dire Dawa, Ethiopia.ORCID https://orcid.org/0000-0002-0114-436X
Mengesha BirkieDepartment of Psychiatry, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Respiratory diseases are one of the main morbidities worldwide, especially in developing countries due to a lack of occupational safety and health measures. Therefore, this study aims to assess the prevalence and risk factors of chronic respiratory symptoms among street sweepers in Dessie and Kombolcha town, Ethiopia. Methods: A cross-sectional study design was used from 15 February to 16 March 2019 Gregorian calendar, among 392 participants. An interviewer-based questionnaire was used. Bivariable and multivariable logistic regression analyses were used, and variables with Results: The prevalence of chronic respiratory symptoms among street sweepers was 178 (45.4%) with the prevalence of cough 67 (16.54%), phlegm 60 (15.4%), wheezing 127 (32.3%), breathlessness 83 (21.3%), and chest pain 55 (14.3%). Respiratory symptoms were associated with not using face mask ( Conclusion: Respiratory symptoms were prevalent among street sweepers in Dessie and Kombolcha towns, Northeast Ethiopia. The non-use of respiratory equipment, educational status, working experience, and past sinusitis was identified factors.

Indexed as

DessieEthiopiaKombolchaprevalencerespiratory symptomStreet sweeper

Identifiers

PMID35784666
PMCPMC9244919

What OpenQuestion holds

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Registered trials

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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.