Evidence map›Paper›PMID 42961671›Full record

ArticleInternational archives of occupational and environmental health2026

Workplace noise exposure and sleep among small-scale industrial metal workers in Dar es Salaam, Tanzania: a cross-sectional study.

Witness John Axwesso, Gloria Sakwari, Israel Paul Nyarubeli, Bente Elisabeth Moen, Ståle Pallesen, Simon Henry Mamuya

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In one paragraph

Article in International archives of occupational and environmental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Witness John AxwessoDepartment of Environmental and Occupational Health, Muhimbili University of Health and Allied Sciences (MUHAS), P. O. Box 65015, Dar Es Salaam, Tanzania.
Gloria SakwariDepartment of Environmental and Occupational Health, Muhimbili University of Health and Allied Sciences (MUHAS), P. O. Box 65015, Dar Es Salaam, Tanzania.
Israel Paul NyarubeliDepartment of Environmental and Occupational Health, Muhimbili University of Health and Allied Sciences (MUHAS), P. O. Box 65015, Dar Es Salaam, Tanzania.
Bente Elisabeth MoenDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Årstadveien 21, 5009, Bergen, Norway. Bente.Moen@uib.no.ORCID http://orcid.org/0000-0002-0435-3124
Ståle PallesenNorwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway.
Simon Henry MamuyaDepartment of Environmental and Occupational Health, Muhimbili University of Health and Allied Sciences (MUHAS), P. O. Box 65015, Dar Es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the relationship between workplace noise exposure and sleep outcomes among high noise exposed small-scale industrial metal workers and a low noise exposed control group in Dar es Salaam, Tanzania.

methodsA cross-sectional design was employed, where 66 metal workers from small-scale metal industries in informal sectors (high noise exposed) and 22 cleaners from university teaching hospital in Dar es Salaam, Tanzania (low noise exposed) were included. Noise levels were assed using personal noise dosimeters (Brüel and Kjær type 4448), while sleep parameters were measured using ActiWatch devices. Data were analyzed using SPSS version 27.

resultsThe average 8-h noise exposure level (L

conclusionWorkers exposed to high daytime noise levels demonstrated longer sleep duration and better sleep efficiency compared to workers exposed to low noise levels. Further longitudinal studies with larger sample sizes and extended monitoring periods are needed to confirm the findings.

Indexed as

Metal WorkersNoise, OccupationalOccupational ExposureSleepAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSleep DurationTanzaniaWorking ConditionsMetal industryNoise exposureOccupational healthSleepTanzania

Identifiers

PMID42961671
PMCPMC13722806

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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.