Evidence map›Paper›PMID 38230235›Full record

ArticleHeliyon2024

Analysis of musculoskeletal pains and productivity impacts among hispanic construction workers.

Krishna P Kisi, Rujan Kayastha

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Krishna P KisiDepartment of Engineering Technology, College of Science and Engineering, Texas State University, San Marcos, TX, USA.
Rujan KayasthaDepartment of Engineering Technology, College of Science and Engineering, Texas State University, San Marcos, TX, USA.
Texas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the top three musculoskeletal pains (MSP) among Hispanic construction workers in Texas and the relationship between sleep hours, age, and MSPs on worker productivity. The study recruited 228 participants from 28 small construction companies and surveyed them on their occupation, age, sleep hours, MSP, and the impact of pain on productivity. The results indicated that Foot pain was the most common among these workers, followed by Back pain and others. Additionally, the study found that the Foot was the most common body part reported with MSP among roofers, drywall installers, laborers, and helpers. The study conducted a three-factor ANOVA test to analyze if there were any significant differences in productivity based on age, number of MSPs, and sleep hours. The study found that MSPs and sleep hours significantly impacted productivity. However, there was no significant effect of age. The results also showed that the number of MSPs significantly impacted productivity, with an increase in MSPs leading to a more severe impact on productivity. Additionally, those who slept less than 6 h per day had a more severe impact on productivity than those who slept more. The study suggests that targeted interventions to improve musculoskeletal health and productivity in this population are needed and highlights the importance of considering Hispanic construction workers' specific needs when implementing safety measures and addressing pain management in the workplace.

Indexed as

Construction workerMusculoskeletal painProductivityRisk assessment

Identifiers

PMID38230235
PMCPMC10789619
OpenAlexW4390562822

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.