Copyright: ©Author(s) 2026.
World J Clin Cases. Aug 6, 2026; 14(22): 120669
Published online Aug 6, 2026. doi: 10.12998/wjcc.120669
Published online Aug 6, 2026. doi: 10.12998/wjcc.120669
Table 8 Summary of musculoskeletal outcomes associated with smartphone use in children and adolescents (by age and domain)
| Ref. | Country | Age group | Study design | Exposure definition | Musculoskeletal domain | Key findings | Statistical association | Primary bias considerations | Overall risk |
| Mongkonkansai et al[63], 2022 | Thailand | Primary school (6-9 years) | Cross-sectional | Continuous use > 60 minutes; posture type | General musculoskeletal pain | 53% used phone lying down; prone posture strongly associated with pain | Prone posture OR = 7.37 | Strengths: Explicitly analyzed specific postures (prone, sitting, lying) in primary school children. Limitations: Reliance on parental reports for child posture habits | Moderate |
| Aziz and Bakir[64], 2022 | Iraq | Children and adolescents | Cross-sectional | > 3 hours/day use | Neck pain (“text neck”) | 69% prevalence of text neck syndrome | Higher disability scores with > 3 hours/day | Strengths: Large clinical sample from primary health centers. Limitations: Diagnosis of “text neck” was based on a combination of self-reported symptoms and duration rather than imaging or clinical exam | Moderate |
| Yang et al[65], 2017 | Taiwan | Adolescents | Cross-sectional | Talking > 3 hours/day | Neck, shoulder, upper back pain | Nearly 50% reported discomfort | Upper back discomfort OR = 4.23 | Strengths: Focused on phone-call duration specifically. Limitations: Does not account for posture during calls; potential recall bias in duration estimation | Moderate |
| Parra-Fernandez et al[66], 2025 | Colombia | Adolescents (10-18 years) | Cross-sectional | Mobile phone dependence score | Neck and upper back pain | 56.3% reported pain; upper back most common (30.4%) | MPD score significantly higher in pain group (P < 0.001) | Strengths: Robust sample size (n = 622); utilized a validated MPD scale to categorize exposure | Low to moderate |
| Tokgöz[67], 2023 | Turkey | Adolescents | Cross-sectional | Smartphone addiction scale | Postural curvature (head and shoulder) | Moderate correlation between addiction and forward posture | Significant positive correlation (P < 0.05) | Strengths: Utilized objective photogrammetric measurements and ImageJ software to analyze craniofacial symmetry and FHP | Low to moderate |
| Namwongsa et al[73], 2018 | Thailand | Adole | Ergonomic assessment | Observed smartphone posture | Neck and trunk posture risk | 80%-90% had RULA grand score = 6 (action level 3) | Neck/trunk posture correlated with neck MSD (P < 0.01) | Strengths: Employed the RULA, a validated objective tool for identifying postural risks in musculoskeletal disorders | Low |
| Mokhtarinia et al[71], 2022 | Iran | University students | Cross-sectional | Addiction; mean use 685 hours/day | Neck, shoulder, wrist, upper back pain | 53.3% addiction prevalence; higher pain with addiction | Significant correlation (P < 0.001) | Strengths: Comprehensive assessment across multiple domains (neck, shoulder, wrist, back). Limitations: Potential self-selection bias in university-based survey | Moderate |
| Al’Saani et al[69], 2023 | Saudi Arabia | University students | Cross-sectional | > 4 hours/day; 1-hour continuous use | Upper limb disability (QuickDASH) | Higher disability with longer use and short viewing distance | P < 0.05 | Strengths: Used the QuickDASH scale for upper limb disability. Limitations: Online distribution may limit sample representativeness | Moderate |
| Mersal et al[68], 2024 | Egypt | University students | Cross-sectional | > 5 hours/day use | Neck and shoulder pain | 38.8% neck pain; 20.3% shoulder pain | Higher prevalence among females (P < 0.001) | Strengths: Specific focus on gender differences in symptom prevalence. Limitations: Convenient sampling of nursing students may limit generalizability to all adolescents | Moderate |
| Alghadir et al[72], 2025 | Saudi Arabia | Young adults | Cross-sectional + biomarkers | ≥ 5 hours/day | Neck and hand pain; oxidative stress | Higher pain scores; reduced TIMP-1/2; increased MDA | Significant biochemical differences (P < 0.05) | Strengths: Exceptionally robust due to the inclusion of biochemical markers (MDA, TIMP-1/2) to correlate physical pain with oxidative stress | Low |
| Czępińska and Wiśniewska[70], 2024 | Poland | Young adults | Cross-sectional | Early phone ownership | Chronic neck pain | Earlier ownership associated with neck pain | P < 0.05 | Strengths: Investigated the longitudinal impact of “early ownership” on chronic pain. Limitations: Small, specialized sample of physiotherapy students | Moderate |
- Citation: Al-Beltagi M, Saeed NK, Bediwy AS, Elbeltagi YM, Bediwy HA, Elbeltagi R. Smartphone use health outcomes in children and adolescents: A systematic review of behavioral, developmental, and environmental risk pathways. World J Clin Cases 2026; 14(22): 120669
- URL: https://www.wjgnet.com/2307-8960/full/v14/i22/120669.htm
- DOI: https://dx.doi.org/10.12998/wjcc.120669