Comparison of musculoskeletal pain and upper extremity disability in smartphone addicts and smartphone non-addicts among university students: A cross-sectional study
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. The study included 35...
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| Veröffentlicht in: | Journal of bodywork and movement therapies 2024-10, Vol.40, p.279-285 |
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| description | 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.
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).
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 |
| doi_str_mv | 10.1016/j.jbmt.2024.04.041 |
| format | Article |
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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).
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.
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.</description><identifier>ISSN: 1360-8592</identifier><identifier>ISSN: 1532-9283</identifier><identifier>EISSN: 1532-9283</identifier><identifier>DOI: 10.1016/j.jbmt.2024.04.041</identifier><identifier>PMID: 39593597</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Addiction ; Adolescent ; Adult ; Behavior, Addictive - epidemiology ; Chronic pain ; Cross-Sectional Studies ; Disability ; Disability Evaluation ; Female ; Humans ; Male ; Musculoskeletal pain ; Musculoskeletal Pain - epidemiology ; Prevalence ; Sex Factors ; Smartphone ; Students - statistics & numerical data ; Surveys and Questionnaires ; Universities ; Upper Extremity - physiopathology ; Young Adult</subject><ispartof>Journal of bodywork and movement therapies, 2024-10, Vol.40, p.279-285</ispartof><rights>2024 Elsevier Ltd</rights><rights>Copyright © 2024 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c307t-2fef363ec153b83a624c545c4d13850e1449a8881bcce8d52f30b6ba70e3d3573</cites><orcidid>0000-0001-8257-4400</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1360859224002298$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39593597$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kurtaran, Mehmet</creatorcontrib><title>Comparison of musculoskeletal pain and upper extremity disability in smartphone addicts and smartphone non-addicts among university students: A cross-sectional study</title><title>Journal of bodywork and movement therapies</title><addtitle>J Bodyw Mov Ther</addtitle><description>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.
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).
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.
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.</description><subject>Addiction</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Behavior, Addictive - epidemiology</subject><subject>Chronic pain</subject><subject>Cross-Sectional Studies</subject><subject>Disability</subject><subject>Disability Evaluation</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Musculoskeletal pain</subject><subject>Musculoskeletal Pain - epidemiology</subject><subject>Prevalence</subject><subject>Sex Factors</subject><subject>Smartphone</subject><subject>Students - statistics & numerical data</subject><subject>Surveys and Questionnaires</subject><subject>Universities</subject><subject>Upper Extremity - physiopathology</subject><subject>Young Adult</subject><issn>1360-8592</issn><issn>1532-9283</issn><issn>1532-9283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UcuO1TAMjRCIecAPsEBZsukljz5SxGZ0BQzSSGxgHaWJC7m0SYnT0dwP4j9J5w4jVkiWbNnnHNk-hLzibMcZb98edodhzjvBRL1jW_An5Jw3UlS9UPJpqWXLKtX04oxcIB4YY30t-ufkTPZNL5u-Oye_93FeTPIYA40jnVe06xTxJ0yQzUQX4wM1wdF1WSBRuMsJZp-P1Hk0g5-2siBwNikvP2IAapzzNuM96Z92iKF6HM0xfKdr8LeQcFPAvDoIGd_RK2pTRKwQbPYxlA222fEFeTaaCeHlQ74k3z5--Lq_rm6-fPq8v7qprGRdrsQIo2wl2PKEQUnTito2dWNrx6VqGPC67o1Sig_WgnKNGCUb2sF0DKSTTScvyZuT7pLirxUw69mjhWkyAeKKWnIpa94pIQpUnKD3CycY9ZJ8ufeoOdObPfqgN3v0Zo9mW_BCev2gvw4zuEfKXz8K4P0JAOXKWw9Jo_UQLDifyku0i_5_-n8AS3emNg</recordid><startdate>202410</startdate><enddate>202410</enddate><creator>Kurtaran, Mehmet</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8257-4400</orcidid></search><sort><creationdate>202410</creationdate><title>Comparison of musculoskeletal pain and upper extremity disability in smartphone addicts and smartphone non-addicts among university students: A cross-sectional study</title><author>Kurtaran, Mehmet</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c307t-2fef363ec153b83a624c545c4d13850e1449a8881bcce8d52f30b6ba70e3d3573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Addiction</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Behavior, Addictive - epidemiology</topic><topic>Chronic pain</topic><topic>Cross-Sectional Studies</topic><topic>Disability</topic><topic>Disability Evaluation</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Musculoskeletal pain</topic><topic>Musculoskeletal Pain - epidemiology</topic><topic>Prevalence</topic><topic>Sex Factors</topic><topic>Smartphone</topic><topic>Students - statistics & numerical data</topic><topic>Surveys and Questionnaires</topic><topic>Universities</topic><topic>Upper Extremity - physiopathology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kurtaran, Mehmet</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of bodywork and movement therapies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kurtaran, Mehmet</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of musculoskeletal pain and upper extremity disability in smartphone addicts and smartphone non-addicts among university students: A cross-sectional study</atitle><jtitle>Journal of bodywork and movement therapies</jtitle><addtitle>J Bodyw Mov Ther</addtitle><date>2024-10</date><risdate>2024</risdate><volume>40</volume><spage>279</spage><epage>285</epage><pages>279-285</pages><issn>1360-8592</issn><issn>1532-9283</issn><eissn>1532-9283</eissn><abstract>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.
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).
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.
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.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>39593597</pmid><doi>10.1016/j.jbmt.2024.04.041</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-8257-4400</orcidid></addata></record> |
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| subjects | Addiction Adolescent Adult Behavior, Addictive - epidemiology Chronic pain Cross-Sectional Studies Disability Disability Evaluation Female Humans Male Musculoskeletal pain Musculoskeletal Pain - epidemiology Prevalence Sex Factors Smartphone Students - statistics & numerical data Surveys and Questionnaires Universities Upper Extremity - physiopathology Young Adult |
| title | 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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