Journal of bodywork and movement therapies · 2024
Comparison of musculoskeletal pain and upper extremity disability in smartphone addicts and smartphone non-addicts among university students: A cross-sectional study.
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Kurtaran Mehmet
Аннотация
OBJECTIVE: The aim of this study was to compare musculoskeletal pain and upper extremity disability between 'smartphone addicts' and 'non-smartphone addicts' and to assess the impact of determinants of musculoskeletal pain and upper extremity disability in both groups.
METHODS: The study included 352 university students aged 18-25 years who used smartphones for at least 1 h per day in the past year. The questionnaire consisted of demographic data, the Smartphone Addiction Scale-short version (SAS-SV), the Quick Disabilities of the Arm, Shoulder, and Hand questionnaire (QuickDASH), and the Verbal Rating Scale. Participants were divided into two groups, 'smartphone addicts' and 'smartphone non-addicts', according to their SAS-SV scores (cut-off for males≥31, females≥33).
RESULTS: Participants had a prevalence of smartphone addiction of 38.4%. There was a statistically significant difference between the 'addicted' and 'non-addicted' groups for SAS-SV (p < 0.001), Quick DASH (p < 0.001) and daily smartphone use time (p = 0.007). The results of logistic regression analyses showed that female gender was a predictor of shoulder (OR = 0.36, 95% CI = 0.16-0.85, p = 0.01) and wrist/hand (OR = 0.43, 95% CI = 0.19-0.98; p = 0.04) pain in smartphone addicts and low back pain (OR = 0.34, 95% CI = 0.12-0.98, p = 0.04) in non-smartphone addicts. In both groups, the SAS-SV score was found to significantly predict the prevalence of musculoskeletal pain in all body regions.
CONCLUSIONS: The study showed that among university students, smartphone addicts had more musculoskeletal complaints and upper extremity disability than smartphone non-addicts. The SAS-SV score was a predictor of the prevalence of musculoskeletal pain and upper extremity disability in smartphone users among university students.
METHODS: The study included 352 university students aged 18-25 years who used smartphones for at least 1 h per day in the past year. The questionnaire consisted of demographic data, the Smartphone Addiction Scale-short version (SAS-SV), the Quick Disabilities of the Arm, Shoulder, and Hand questionnaire (QuickDASH), and the Verbal Rating Scale. Participants were divided into two groups, 'smartphone addicts' and 'smartphone non-addicts', according to their SAS-SV scores (cut-off for males≥31, females≥33).
RESULTS: Participants had a prevalence of smartphone addiction of 38.4%. There was a statistically significant difference between the 'addicted' and 'non-addicted' groups for SAS-SV (p < 0.001), Quick DASH (p < 0.001) and daily smartphone use time (p = 0.007). The results of logistic regression analyses showed that female gender was a predictor of shoulder (OR = 0.36, 95% CI = 0.16-0.85, p = 0.01) and wrist/hand (OR = 0.43, 95% CI = 0.19-0.98; p = 0.04) pain in smartphone addicts and low back pain (OR = 0.34, 95% CI = 0.12-0.98, p = 0.04) in non-smartphone addicts. In both groups, the SAS-SV score was found to significantly predict the prevalence of musculoskeletal pain in all body regions.
CONCLUSIONS: The study showed that among university students, smartphone addicts had more musculoskeletal complaints and upper extremity disability than smartphone non-addicts. The SAS-SV score was a predictor of the prevalence of musculoskeletal pain and upper extremity disability in smartphone users among university students.