ArticleJournal of pain research2019
Prevalence of upper limb pain and disability and its correlates with demographic and personal factors.
Article in Journal of pain research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Musculoskeletal disorders in video gamers - a systematic review.BMC musculoskeletal disorders · 2022Pooled it
- Measurement-Based Optimization of a Lightweight Upper-Extremity Rehabilitation Exoskeleton for Task-Oriented Treatment.Sensors (Basel, Switzerland) · 2026Article
- Activity of upper-limb muscles during therapeutic climbing: a cross-sectional comparison between fractured and healthy individuals.BMC sports science, medicine & rehabilitation · 2025Article
- Review
- Assessment of shoulder functional movements through inertial measurement units for tele-rehabilitation: a quaternion-based approach.Frontiers in digital health · 2025Article
- Psychometric Properties of the Serbian Version of the Arm, Shoulder, and Hand Disability Self-Assessment Questionnaire: Criterion Validity, Construct Validity, and Internal Consistency.Journal of clinical medicine · 2024Article
- Construct validity, test-retest reliability, and responsiveness of the Arabic version of the upper limb functional index.BMC musculoskeletal disorders · 2023Observational
- Cross-cultural adaptation of the upper limb functional index in Arabic.Acta bio-medica : Atenei Parmensis · 2022Observational
- Telerehabilitation for upper limb disabilities: a scoping review on functions, outcomes, and evaluation methods.Archives of public health = Archives belges de sante publique · 2022Article
- Cross-cultural adaptation, validity, and reliability of the Persian version of the Upper Limb Functional Index.Hand therapy · 2021Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe present study aimed to assess the prevalence of upper limb pain and disability and to investigate potentially correlated factors among university students in Jordan.
methodsThis was a cross-sectional questionnaire-based survey study that was conducted among university students. The upper limb pain and disability were assessed by the Disabilities of the Arm, Shoulder, and Hand (DASH) outcome questionnaire. The DASH outcome questionnaire was distributed to 2100 students from the population of 2 public and 2 private universities in the north of Jordan. Demographic and personal information were collected. Data were analyzed using descriptive statistics and linear regression analysis.
resultsA total of 1929 DASH outcome questionnaires were returned, with a high response rate of 91.86%. The age of the subjects was between 18-28 years (52% male; 48% female). The majority of subjects (85.2%) used at least one smartphone. The majority of them had been using a smartphone for more than 5 years. The prevalence of upper limb pain and disability among university students was 24%. Several factors were found to be significantly connected with upper limb pain and disability among university students, such as smartphone use, computer use, the presence of musculoskeletal problems, not living with their families, using public transport (bus), and daily housekeeping.
conclusionThe results of this study can be used globally to promote the health and well-being of university students, improve their academic performance and future career. Identifying high-risk groups will assist in early identifications and prevention programs for upper limb pain and disability among university students.
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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.