Evidence map›Paper›PMID 37903094›Full record

ArticlePloS one2023

Association of electronic learning devices and online learning properties with work-related musculoskeletal disorders (WMSDs): A cross-sectional study among Thai undergraduate students.

Thanyaporn Direksunthorn, Panicha Polpanadham, Ueamporn Summart, Khannistha Mahem, Pipatpong Kempanya, Muhamad Zulfatul A'la, Yuwadee Wittayapun

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 2 countries.

Thanyaporn DireksunthornSchool of Medicine, Walailak University, Nakhon Si Thammarat, Thailand.ORCID 0000-0002-8237-2558
Panicha PolpanadhamFaculty of Physical Therapy, Huachiew Chalermprakiet University, Bangkok, Thailand.
Ueamporn SummartFaculty of Nursing, Roi Et Rajabhat University, Tha Muang, Roi Et, Thailand.
Khannistha MahemBoromarajonani College of Nursing, Khon Kaen, Thailand.
Pipatpong KempanyaBoromarajonani College of Nursing Nakhon Phanom, Nakhon Phanom University College, Kham Thao, Thailand.
Muhamad Zulfatul A'laFaculty of Nursing, University of Jember, Jember, Indonesia.
Yuwadee WittayapunSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand.ORCID 0000-0001-8080-1446
Walailak University · THBoromarajonani College of Nursing · THHuachiew Chalermprakiet University · THNakhon Phanom University · THRoi et Rajabhat University · THUniversitas Jember · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computers and mobile devices are becoming the primary instruments used by students worldwide in all facets of their working and learning activities. This study aimed to investigate the relationship between the use of electronic devices, the characteristics of learning properties, and the potential predictors of work-related musculoskeletal disorders (WMSDs) among Thai undergraduate students. In this cross-sectional study, data were collected using Microsoft Forms with an online self-administered scale. The research instrument comprised four categories: demographic and health history characteristics, online learning properties, psychological health, and perceived WMSDs. Using multistage sampling, 4,618 samples were collected from 18 schools nationwide. A total of 3,705 respondents were eligible for the analysis. Descriptive statistics, chi-square, and binary logistic regression analyses were used for the data analysis. The results showed that the majority of the respondents had online learning only in some semesters/subjects (67.3%), used mobile phones for learning (43.3%), had an appropriate desk workstation (66.1%), used non-office chairs (76.0%), spent prolonged periods sitting (91.6%), had a bent posture while sitting (78.2%), had a private working space/room (92.4%), had proper lighting (85.4%), and experienced normal levels of stress (81.1%). Overall, 42.1% of Thai university students experienced WMSDs in any area of the body in the prior 6 months. Six significant predictors (p = 0.05) of WMSDs were obtained from the multivariate analysis, including stress, use of electronic devices, bent posture, prolonged sitting, year of study, and online learning classes (The adjusted odds ratio ranged from 1.43 to 3.67). High-risk students who mostly used mobile learning devices should be prescribed interventions to reduce stress, develop postural awareness and skills, emphasize positioning solutions, and reduce extended sitting time. The results indicated that preventive measures are warranted and required because the risk predictors were identified as preventable.

Indexed as

Education, DistanceMusculoskeletal DiseasesOccupational DiseasesComputersCross-Sectional StudiesErgonomicsHumansPrevalenceRisk FactorsSoutheast Asian PeopleStudentsSurveys and Questionnaires

Identifiers

PMID37903094
PMCPMC10615310
OpenAlexW4388019538

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.