Evidence map›Paper›PMID 41278610›Full record

ArticlePreventive medicine reports2025

Gender differences in the prevalence and association between smartphone addiction and musculoskeletal disorders among vocational school students in Shanghai.

Rongxuan Zhai, Xudong Wu, Tao Chen, Lejun Wang

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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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

3 citing papers in PubMed.

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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

4 authors.

Rongxuan ZhaiSport and Health Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Physical Education Department, Tongji University, Shanghai, China.
Xudong WuShanghai Advanced Technical School, Shanghai University of Engineering Science, Shanghai, China.
Tao ChenSport and Health Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Physical Education Department, Tongji University, Shanghai, China.
Lejun WangSport and Health Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Physical Education Department, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study examined the prevalence of smartphone addiction and musculoskeletal disorders (MSDs), their association, and gender differences among vocational school students in Shanghai. Methods: A cross-sectional survey was conducted among 4897 students (61 % male) using the Mobile Phone Addiction Tendency Scale (MPATS) and the Standardized Nordic Questionnaire from March to April 2023. Binary logistic regression was applied to estimate adjusted odds ratios (ORs) for MSDs, including gender interaction terms. Results: Overall, 38.0 % of students reported MSDs (42.3 % among females vs. 35.2 % among males), most common in the neck (23.5 %), lower back (19.5 %), and shoulders (16.5 %), where females exhibited a higher prevalence at specific sites. Smartphone addiction was prevalent in 70.5 % of participants, significantly higher in females (76.5 %) than males (66.6 %). Both MPATS scores and addiction status were significantly associated with MSDs in the neck, shoulders, back, wrists, and elbows ( Conclusion: Smartphone addiction and MSDs are highly prevalent among vocational students, particularly females. The significant association between addiction and MSDs highlights the need for targeted interventions to reduce health risks linked to excessive smartphone use.

Indexed as

Gender differencesLogistic regressionMusculoskeletal disordersPrevalenceSmartphone addictionVocational school students

Identifiers

PMID41278610
PMCPMC12639383

What Socratic 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 Socratic graph.