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https://has.hcu.ac.th/jspui/handle/123456789/2065
Title: | Association of electronic learning devices and online learning properties with work-related musculoskeletal disorders (WMSDs): A cross-sectional study among Thai undergraduate students |
Authors: | Thanyaporn Direksunthorn Panicha Polpanadham Ueamporn Summart Khannistha Mahem Pipatpong Kempanya Muhamad Zulfatul A’la Yuwadee Wittayapun ธันยพร ดิเรกสุนทร ปณิชา พลพนาธรรม เอื้อมพร สุ่มมาตย์ กันนิษฐา มาเห็ม พิพัฒน์พงศ์ เข็มปัญญา ยุวดี วิทยพันธ์ Walailak University. School of Medicine Huachiew Chalermprakiet University. Faculty of Physical Therapy Roi Et Rajabhat University. Faculty of Nursing Nakhon Phanom University. Boromarajonani College of Nursing Nakhon Phanom University. Boromarajonani College of Nursing University of Jember. Faculty of Nursing Walailak University. School of Allied Health Sciences |
Keywords: | บาดเจ็บจากการใช้งานมากเกินไป Overuse injuries เทคโนโลยีทางการศึกษา Educational technology โควิด-19 (โรค) COVID-19 (Disease) การจัดสภาพแวดล้อมการเรียนรู้ออนไลน์ Online learning environment |
Issue Date: | 2023 |
Citation: | PLOS ONE 18(10), (October 30, 2023): e0291597 |
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. |
Description: | สามารถเข้าถึงบทความฉบับเต็มได้ที่ https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0291597 |
URI: | https://has.hcu.ac.th/jspui/handle/123456789/2065 |
Appears in Collections: | Physical Therapy - Artical Journals |
Files in This Item:
File | Description | Size | Format | |
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Electronic-learning-devices.pdf | 90.65 kB | Adobe PDF | View/Open |
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