{"title":"大学生中智能手机成瘾者与非智能手机成瘾者肌肉骨骼疼痛和上肢残疾的比较:横断面研究","authors":"Mehmet Kurtaran","doi":"10.1016/j.jbmt.2024.04.041","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>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.</p></div><div><h3>Methods</h3><p>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).</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusions</h3><p>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.</p></div>","PeriodicalId":51431,"journal":{"name":"JOURNAL OF BODYWORK AND MOVEMENT THERAPIES","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of musculoskeletal pain and upper extremity disability in smartphone addicts and smartphone non-addicts among university students: A cross-sectional study\",\"authors\":\"Mehmet Kurtaran\",\"doi\":\"10.1016/j.jbmt.2024.04.041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>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.</p></div><div><h3>Methods</h3><p>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).</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusions</h3><p>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.</p></div>\",\"PeriodicalId\":51431,\"journal\":{\"name\":\"JOURNAL OF BODYWORK AND MOVEMENT THERAPIES\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF BODYWORK AND MOVEMENT THERAPIES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1360859224002298\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"REHABILITATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF BODYWORK AND MOVEMENT THERAPIES","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1360859224002298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"REHABILITATION","Score":null,"Total":0}
Comparison of musculoskeletal pain and upper extremity disability in smartphone addicts and smartphone non-addicts among university students: A cross-sectional study
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.
期刊介绍:
The Journal of Bodywork and Movement Therapies brings you the latest therapeutic techniques and current professional debate. Publishing highly illustrated articles on a wide range of subjects this journal is immediately relevant to everyday clinical practice in private, community and primary health care settings. Techiques featured include: • Physical Therapy • Osteopathy • Chiropractic • Massage Therapy • Structural Integration • Feldenkrais • Yoga Therapy • Dance • Physiotherapy • Pilates • Alexander Technique • Shiatsu and Tuina