Evidence map›Paper›PMID 38028708›Full record

ArticleHealth science reports2023

Factors associated with poor sleep quality among construction workers in Arba Minch town, Ethiopia: A cross-sectional study.

Debisa E Wendimu, Solomon G Meshesha

Abstract read
In one paragraph

Article in Health science reports, 2023. 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
–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

3 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Debisa E WendimuMalaria and Neglected Tropical Disease Directorate Armauer Hansen Research Institute (AHRI) Addis Ababa Ethiopia.ORCID 0000-0001-8239-1217
Solomon G MesheshaClinical Trial Directorate Armauer Hansen Research Institute (AHRI) Addis Ababa Ethiopia.ORCID 0000-0002-8198-2848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Sleep is critical for human physical and cognitive health. Even though poor sleep quality had a major negative impact on workers' health and safety, there is a scarcity of study that attempts to demonstrate its magnitude and causative factors in labor-intensive environments. Methods: A cross-sectional study design was employed. A total of 423 individuals were selected using a simple random sampling technique, starting from April 1, 2020 to May 1, 2020. Interviews were administered using the validated and pretested Pittsburgh Sleep Quality Index (PSQI) tool. EpiData version 4.4.3.1 was used for data entry and SPSS version 25 for analysis. To associate factors with poor sleep quality binary logistic regression model was fitted at 95% confidence interval (CI). A Results: A total of 415 building construction workers take part in this study, with a response rate of 98.1%. A PSQI global score showed 66.3% (95% CI: [0.63, 0.71]) of construction workers suffering from poor sleep quality. Working hours, work experience, previous injury status, managerial support on occupational safety and health, cigarette smoking, and job satisfaction were the factors that were associated with poor sleep quality significantly. Conclusions: Two-thirds of construction workers suffer from poor sleep quality. Risk factors include shorter working years, longer working hours, prior injury, lack of managerial support, cigarette smoking, and low job satisfaction. Efficient health education and promotion through taking the identified associated factors into account could help reduce poor sleep quality.

Indexed as

construction workersoccupational health and safetyPittsburgh Sleep Quality Indexsleep quality

Identifiers

PMID38028708
PMCPMC10663431

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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.