Evidence map›Paper›PMID 35321247›Full record

ArticleJournal of environmental and public health2022

Characteristics and Determinants of the Presence of Respiratory Symptoms among Sewage Workers in Malaysia.

Kamarulzaman Muzaini, Siti Munira Yasin, Zaliha Ismail, Ahmad Razali Ishak

Abstract read
In one paragraph

Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  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

4 authors.

Kamarulzaman MuzainiDepartment of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia.ORCID 0000-0002-3354-1570
Siti Munira YasinDepartment of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia.ORCID 0000-0001-9072-5053
Zaliha IsmailDepartment of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia.ORCID 0000-0003-1144-4451
Ahmad Razali IshakCentre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA, Puncak Alam, Selangor, Malaysia.ORCID 0000-0003-4451-2940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this study was to determine the relationships of PM 2.5 and H Methods: A cross-sectional study was conducted in eleven sewage plants located in the central region of Peninsular Malaysia. One hundred ninety-one sewage workers were assessed using the British Medical Research Council (BMRC) questionnaire. Area air sampling was performed in three different sewage plants to measure the following parameters: physical air quality and concentration of PM 2.5 and H Result: Chronic cough (34.0%) was reported as the most common symptom, followed by chronic phlegm (26.2%), shortness of breath (7.9%), and chest tightness (3.7%). There were five significant determinants of the presence of respiratory symptoms among the sewage workers: shift work (AOR 23.50, 95% CI: 1.90-616.52), working at a sludge treatment facility (STF) (AOR 25.46, 95% CI: 2.06-314.29), a longer duration of working years (AOR 1,21, 95% CI: 1.01-1.44), individual cumulative exposure to PM 2.5 (AOR 9.01, 95% CI: 1.98-83.33), and individual cumulative exposure to H Conclusion: Sewage workers working at non-STFs or STFs reported a significantly higher prevalence of work-related respiratory symptoms and exposure to PM 2.5 and H

Indexed as

Occupational DiseasesOccupational ExposureSewageCross-Sectional StudiesHumansMalaysiaParticulate MatterParticulate MatterSewage

Identifiers

PMID35321247
PMCPMC8938149

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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.