Evidence map›Paper›PMID 40229835›Full record

ArticleEuropean journal of medical research2025

Smartphone addiction and musculoskeletal associated disorders in university students: biomechanical measures and questionnaire survey analysis.

Ahmad H Alghadir, Sami A Gabr, Ashraf A Rizk, Talal Alghadir, Faisal Alghadir, Amir Iqbal

Registry-linked trialAbstract read
In one paragraph

Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07561944 (Design and Implementation of a 3D-Printed Mobile Phone Holder Selection and Fitting Process for Individuals With Upper Limb Functional Impairments), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT07561944 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Design and Implementation of a 3D-Printed Mobile Phone Holder Selection and Fitting Process for Individuals With Upper Limb Functional Impairments

Typeobservational_patient_registrySponsorTaipei Medical University Shuang Ho HospitalRan2026 to 2026Enrolled30ConditionsUpper Limb Dysfunction, Hand Function Impairment, Musculoskeletal Disorders Affecting Hand Function, Difficulty Operating Smartphones Due to Upper Limb Impairment
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Observational
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

6 authors.

Ahmad H AlghadirRehabilitation Research Chair, Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, 11433, Riyadh, Saudi Arabia.
Sami A GabrRehabilitation Research Chair, Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, 11433, Riyadh, Saudi Arabia.
Ashraf A RizkDepartment of Biomechanics & Motor Behavior, College of Sport Sciences & Physical Activity, King Saud University, 11433, Riyadh, Saudi Arabia.
Talal AlghadirCollege of Medicine, King Saud University, 11433, Riyadh, Saudi Arabia.
Faisal AlghadirCollege of Medicine, King Saud University, 11433, Riyadh, Saudi Arabia.
Amir IqbalRehabilitation Research Chair, Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, 11433, Riyadh, Saudi Arabia. physioamir@gmail.com.

Funding

Researchers Supporting Project number (RSP2024R382), King Saud University, Riyadh, Saudi Arabia RSP2024R382
6 · The paper itself

Abstract

backgroundSmartphone addiction significantly impacts the musculoskeletal system, with 79% of younger adults aged 18-44 reporting excessive cell phone use. In addition, rare data exist on the roles of biological markers like 5-HT receptors, oxidative stress markers (TAC, MDA), collagen biomarkers (TIMP-1, TIMP-2), and triglycerides (TG) in the effects of smartphone addiction on the musculoskeletal system, particularly among university students.

objectiveThus, the study aimed to investigate the potential link between smartphone addiction levels and certain biological indicators related to musculoskeletal injuries in the hands and necks of young, healthy university students.

methodsA total of 250 healthy university students aged 17-30 years old were randomly invited to participate in this descriptive cross-sectional analytical study. All participants were categorized into two groups based on their smartphone usage duration: non-addicted (1-3h./day; n = 48) and addicted (≥ 5h./day; n = 12). Smartphone addiction, musculoskeletal discomfort in the neck and hands, adiposity-related outcomes, and musculoskeletal disorder (MSD) biomarkers, like matrixmetalloproteinases (MMPs); TIMP-1,TIMP-2;5-hydroxytryptophans (5-HT), triglyceride (TG), malondialdehyde (MDA), and total antioxidant capacity (TAC) were assessed using validated questionnaires like the Neck Disability Index (NDI), Cornell Hand Discomfort Questionnaire (CHDQ), and Visual Analogue Scale (VAS), respectively, and ELISA immunoassay analysis.

resultsA significant link was reported between smartphone addiction and neck pain, hand discomfort, and adiposity markers in 64%of the participant cohort. Moreover, females exhibited higher rates of addiction and susceptibility compared to their male counterparts (62.5% vs. 37.5%). Overall, the outcomes score of prolonged smartphone usage was positively correlated with adiposity, musculoskeletal disorders, and pain measured by the NDI, CHDQ, and VAS, respectively. Smartphone-addicted students demonstrated lower levels of TIMP-1, TIMP-2, and TAC activity, along with elevated 5-HT, TG, and MDA levels, compared to non-addicted controls.

conclusionSmartphone addiction is positively associated with adiposity and musculoskeletal issues, particularly in the neck, shoulders, and hands, among university students. Key biomarkers (TIMP-1, TIMP-2, 5-HT, TG, MDA, TAC) significantly correlate with the severity of neck and hand MSD, as indicated by NDI, CHDQ, and VAS scores. Thus, public health initiatives are essential to raise awareness of the physical and biological risks of excessive smartphone use.

Indexed as

Behavior, AddictiveMusculoskeletal DiseasesSmartphoneStudentsAdolescentAdultBiomarkersCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesUniversitiesYoung AdultBiomarkersAdolescentsBiological markersMusculoskeletal disordersPainSmartphone addiction

Identifiers

PMID40229835
PMCPMC11998459

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.