Saddam F Kanaan, K. Almhdawi, Y. Khader, T. Jain, Ala'a F Jaber, F. Almomani
{"title":"Predictors of neck disability among undergraduate students: A cross-sectional study.","authors":"Saddam F Kanaan, K. Almhdawi, Y. Khader, T. Jain, Ala'a F Jaber, F. Almomani","doi":"10.3233/wor-213643","DOIUrl":null,"url":null,"abstract":"BACKGROUND\nMany cross-sectional studies have examined the predictors of neck pain among adolescents and working-age populations, but there are limited studies included undergraduate students.\n\n\nOBJECTIVE\nTo investigate the predictors of neck disability among undergraduate students.\n\n\nMETHODS\nA cross-sectional study using a self-administered online survey. Students completed the survey that included socio-demographic factors, academic-related factors, health and lifestyle factors, and standardized questionnaires including Neck Disability Index (NDI), 12-Item Short-Form Health Survey (SF-12), Depression Anxiety Stress Scales (DASS-21), and Pittsburgh Sleep Quality Index (PSQI). Students who reported an NDI score higher than 15 were considered as having a neck disability. A multivariable logistic regression model was used to identify the significant predictors of neck disability.\n\n\nRESULTS\nOf all students (n = 1292), 20.8% reported neck disability. Among all possible predictors, students' major satisfaction (OR 1.46 [95% CI 1.06-2.01]; p = 0.019), DASS-21 anxiety score (OR 1.06 [95% CI 1.03-1.09]; p < 0.001), SF-12 total score (OR 0.89 [95% CI 0.86-92]; p < 0.001), and PSQI score (OR 1.21 [95% CI 1.15-1.28]; p < 0.001) were the only significant predictors of neck disability.\n\n\nCONCLUSIONS\nIncreased levels of academic stressors and anxiety, and decreased levels of quality of life and sleep quality are associated with increased neck disability among undergraduate students.","PeriodicalId":49090,"journal":{"name":"Cognition Technology & Work","volume":"183 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognition Technology & Work","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3233/wor-213643","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 3
Abstract
BACKGROUND
Many cross-sectional studies have examined the predictors of neck pain among adolescents and working-age populations, but there are limited studies included undergraduate students.
OBJECTIVE
To investigate the predictors of neck disability among undergraduate students.
METHODS
A cross-sectional study using a self-administered online survey. Students completed the survey that included socio-demographic factors, academic-related factors, health and lifestyle factors, and standardized questionnaires including Neck Disability Index (NDI), 12-Item Short-Form Health Survey (SF-12), Depression Anxiety Stress Scales (DASS-21), and Pittsburgh Sleep Quality Index (PSQI). Students who reported an NDI score higher than 15 were considered as having a neck disability. A multivariable logistic regression model was used to identify the significant predictors of neck disability.
RESULTS
Of all students (n = 1292), 20.8% reported neck disability. Among all possible predictors, students' major satisfaction (OR 1.46 [95% CI 1.06-2.01]; p = 0.019), DASS-21 anxiety score (OR 1.06 [95% CI 1.03-1.09]; p < 0.001), SF-12 total score (OR 0.89 [95% CI 0.86-92]; p < 0.001), and PSQI score (OR 1.21 [95% CI 1.15-1.28]; p < 0.001) were the only significant predictors of neck disability.
CONCLUSIONS
Increased levels of academic stressors and anxiety, and decreased levels of quality of life and sleep quality are associated with increased neck disability among undergraduate students.
期刊介绍:
Cognition, Technology & Work focuses on the practical issues of human interaction with technology within the context of work and, in particular, how human cognition affects, and is affected by, work and working conditions.
The aim is to publish research that normally resides on the borderline between people, technology, and organisations. Including how people use information technology, how experience and expertise develop through work, and how incidents and accidents are due to the interaction between individual, technical and organisational factors.
The target is thus the study of people at work from a cognitive systems engineering and socio-technical systems perspective.
The most relevant working contexts of interest to CTW are those where the impact of modern technologies on people at work is particularly important for the users involved as well as for the effects on the environment and plants. Modern society has come to depend on the safe and efficient functioning of a multitude of technological systems as diverse as industrial production, transportation, communication, supply of energy, information and materials, health and finance.