Variable Resistance Training Combined With Static Traction Computer Vision Applied in Neck and Shoulder Rehabilitation Training for College Students
This study evaluates the effectiveness of static traction combined with variable resistance training in rehabilitating college students with neck and shoulder diseases. Ninety students were randomly assigned to receive either static traction alone or combined therapy. Visual analogue scale (VAS), ne...
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Veröffentlicht in: | International journal of decision support system technology 2024-11, Vol.16 (1), p.1-18 |
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creator | Liu, Yang Ran, NingPei He, Yi Wu, Gang Zhao, XiaoPeng Cao, Miao Luo, Guangxia |
description | This study evaluates the effectiveness of static traction combined with variable resistance training in rehabilitating college students with neck and shoulder diseases. Ninety students were randomly assigned to receive either static traction alone or combined therapy. Visual analogue scale (VAS), neck disability index (NDI), cervical range of motion, electromyography (EMG), and soft tissue parameters were assessed pre- and post-treatment. Both groups showed improved VAS and NDI scores post-treatment, with greater enhancements in the combined therapy group. Cervical range of motion, EMG values, and soft tissue parameters also favored the combined therapy. Statistical analysis revealed significant differences (P |
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Ninety students were randomly assigned to receive either static traction alone or combined therapy. Visual analogue scale (VAS), neck disability index (NDI), cervical range of motion, electromyography (EMG), and soft tissue parameters were assessed pre- and post-treatment. Both groups showed improved VAS and NDI scores post-treatment, with greater enhancements in the combined therapy group. Cervical range of motion, EMG values, and soft tissue parameters also favored the combined therapy. Statistical analysis revealed significant differences (P<0.05) between groups. Static traction combined with variable resistance training effectively improves neck and shoulder function, reduces pain, and enhances rehabilitation outcomes compared to static traction alone. 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Ninety students were randomly assigned to receive either static traction alone or combined therapy. Visual analogue scale (VAS), neck disability index (NDI), cervical range of motion, electromyography (EMG), and soft tissue parameters were assessed pre- and post-treatment. Both groups showed improved VAS and NDI scores post-treatment, with greater enhancements in the combined therapy group. Cervical range of motion, EMG values, and soft tissue parameters also favored the combined therapy. Statistical analysis revealed significant differences (P<0.05) between groups. Static traction combined with variable resistance training effectively improves neck and shoulder function, reduces pain, and enhances rehabilitation outcomes compared to static traction alone. This approach shows promise for optimizing rehabilitation in college students with similar musculoskeletal conditions.</description><subject>Analgesics</subject><subject>Chronic illnesses</subject><subject>College students</subject><subject>Colleges & universities</subject><subject>Computer vision</subject><subject>Decision support systems</subject><subject>Drug therapy</subject><subject>Electromyography</subject><subject>Neck</subject><subject>Pain</subject><subject>Parameters</subject><subject>Patients</subject><subject>Posture</subject><subject>Quality of life</subject><subject>Range of motion</subject><subject>Rehabilitation</subject><subject>Resistance training</subject><subject>Shoulder</subject><subject>Soft tissues</subject><subject>Statistical analysis</subject><subject>Strength training</subject><subject>Students</subject><subject>Surgery</subject><subject>Therapy</subject><subject>Traction</subject><issn>1941-6296</issn><issn>1941-630X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptkE1PwjAYgBejiYgevTfxPGzXtaxHAn5giCYM0VvTdR0URzfb7eD_8AfbZSIXT_14nzxv8gTBNYKjGKLkdv40S9PVCJOEInoSDBCLUUgxfD893CNGz4ML53YQ0jii0SD4XgurRVYqsFROu0YYqcDKCm202YBptc-0UTl4080WpI1otOymstGV6aZ12ygL1tp170ldl9rD2oBnJT-AMDlIt1Vb5p5Zqq3IdKk7h2f_VhSV9aKyVBvlF7S5Mo27DM4KUTp19XsOg9f7u9X0MVy8PMynk0UoEaU0TFgSZ0IQFknIxqJgLMrziNAIJQgXpMgZRgwVlCAlIc0gRhmRLCGIstx_EjwMbnpvbavPVrmG76rWGr-SYxSxsS-EOyrsKWkr56wqeG31XtgvjiDvwvM-PO_De37W83qjj8KuMT825ocA_0u85gdQWo6p</recordid><startdate>20241109</startdate><enddate>20241109</enddate><creator>Liu, Yang</creator><creator>Ran, NingPei</creator><creator>He, Yi</creator><creator>Wu, Gang</creator><creator>Zhao, XiaoPeng</creator><creator>Cao, Miao</creator><creator>Luo, Guangxia</creator><general>IGI Global</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0009-0004-5189-0522</orcidid></search><sort><creationdate>20241109</creationdate><title>Variable Resistance Training Combined With Static Traction Computer Vision Applied in Neck and Shoulder Rehabilitation Training for College Students</title><author>Liu, Yang ; Ran, NingPei ; He, Yi ; Wu, Gang ; Zhao, XiaoPeng ; Cao, Miao ; Luo, Guangxia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1666-8984baa592c097af992dd25621813f5fd93191f651ec06b031b5c985169d65153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analgesics</topic><topic>Chronic illnesses</topic><topic>College students</topic><topic>Colleges & universities</topic><topic>Computer vision</topic><topic>Decision support systems</topic><topic>Drug therapy</topic><topic>Electromyography</topic><topic>Neck</topic><topic>Pain</topic><topic>Parameters</topic><topic>Patients</topic><topic>Posture</topic><topic>Quality of life</topic><topic>Range of motion</topic><topic>Rehabilitation</topic><topic>Resistance training</topic><topic>Shoulder</topic><topic>Soft tissues</topic><topic>Statistical analysis</topic><topic>Strength training</topic><topic>Students</topic><topic>Surgery</topic><topic>Therapy</topic><topic>Traction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Ran, NingPei</creatorcontrib><creatorcontrib>He, Yi</creatorcontrib><creatorcontrib>Wu, Gang</creatorcontrib><creatorcontrib>Zhao, XiaoPeng</creatorcontrib><creatorcontrib>Cao, Miao</creatorcontrib><creatorcontrib>Luo, Guangxia</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Engineering Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><jtitle>International journal of decision support system technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Yang</au><au>Ran, NingPei</au><au>He, Yi</au><au>Wu, Gang</au><au>Zhao, XiaoPeng</au><au>Cao, Miao</au><au>Luo, Guangxia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variable Resistance Training Combined With Static Traction Computer Vision Applied in Neck and Shoulder Rehabilitation Training for College Students</atitle><jtitle>International journal of decision support system technology</jtitle><date>2024-11-09</date><risdate>2024</risdate><volume>16</volume><issue>1</issue><spage>1</spage><epage>18</epage><pages>1-18</pages><issn>1941-6296</issn><eissn>1941-630X</eissn><abstract>This study evaluates the effectiveness of static traction combined with variable resistance training in rehabilitating college students with neck and shoulder diseases. Ninety students were randomly assigned to receive either static traction alone or combined therapy. Visual analogue scale (VAS), neck disability index (NDI), cervical range of motion, electromyography (EMG), and soft tissue parameters were assessed pre- and post-treatment. Both groups showed improved VAS and NDI scores post-treatment, with greater enhancements in the combined therapy group. Cervical range of motion, EMG values, and soft tissue parameters also favored the combined therapy. Statistical analysis revealed significant differences (P<0.05) between groups. Static traction combined with variable resistance training effectively improves neck and shoulder function, reduces pain, and enhances rehabilitation outcomes compared to static traction alone. This approach shows promise for optimizing rehabilitation in college students with similar musculoskeletal conditions.</abstract><cop>Hershey</cop><pub>IGI Global</pub><doi>10.4018/IJDSST.358616</doi><tpages>18</tpages><orcidid>https://orcid.org/0009-0004-5189-0522</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analgesics Chronic illnesses College students Colleges & universities Computer vision Decision support systems Drug therapy Electromyography Neck Pain Parameters Patients Posture Quality of life Range of motion Rehabilitation Resistance training Shoulder Soft tissues Statistical analysis Strength training Students Surgery Therapy Traction |
title | Variable Resistance Training Combined With Static Traction Computer Vision Applied in Neck and Shoulder Rehabilitation Training for College Students |
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