Measurement of baseline shoulder function in subjects receiving workers’ compensation versus noncompensated subjects
The purpose of this study was to ascertain whether a measurable difference existed in normative scores for the American Shoulder and Elbow Surgeons (ASES) questionnaire between subjects who had an active workers’ compensation claim (WC) with no known shoulder injury and subjects without a compensati...
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Veröffentlicht in: | Journal of shoulder and elbow surgery 2005-05, Vol.14 (3), p.286-297 |
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creator | Sallay, Peter I. Hunker, Patti J. Brown, Lindsey |
description | The purpose of this study was to ascertain whether a measurable difference existed in normative scores for the American Shoulder and Elbow Surgeons (ASES) questionnaire between subjects who had an active workers’ compensation claim (WC) with no known shoulder injury and subjects without a compensation claim (non-WC). Subjects with non-shoulder-related orthopaedic injuries were recruited from a suburban orthopaedic sports medicine clinic and an urban occupational medicine clinic. They were asked to complete a composite questionnaire that consisted of demographic information and the ASES questionnaire. There were no significant differences in the ASES scores between subject groups. There were significant differences between subject groups with regard to work hours (P = .0001), work demands (P = .0001), and tobacco use (P = .0001). Subject group was also significantly associated with education level (P = .0001), marital status (P = .0001), work demands (P = .0001), gender (P = .0001), and sports participation (P = .0314). The ASES score was significantly affected by marital status (P = .0476), sports participation (P = .0008), and age (P = .0129). |
doi_str_mv | 10.1016/j.jse.2004.08.010 |
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Subjects with non-shoulder-related orthopaedic injuries were recruited from a suburban orthopaedic sports medicine clinic and an urban occupational medicine clinic. They were asked to complete a composite questionnaire that consisted of demographic information and the ASES questionnaire. There were no significant differences in the ASES scores between subject groups. There were significant differences between subject groups with regard to work hours (P = .0001), work demands (P = .0001), and tobacco use (P = .0001). Subject group was also significantly associated with education level (P = .0001), marital status (P = .0001), work demands (P = .0001), gender (P = .0001), and sports participation (P = .0314). The ASES score was significantly affected by marital status (P = .0476), sports participation (P = .0008), and age (P = .0129).</description><identifier>ISSN: 1058-2746</identifier><identifier>EISSN: 1532-6500</identifier><identifier>DOI: 10.1016/j.jse.2004.08.010</identifier><identifier>PMID: 15889028</identifier><language>eng</language><publisher>New York, NY: Mosby, Inc</publisher><subject>Activities of Daily Living ; Adult ; Age Factors ; Biological and medical sciences ; Educational Status ; Female ; Health Status Indicators ; Humans ; Indiana ; Male ; Marital Status ; Medical sciences ; Middle Aged ; Multivariate Analysis ; Occupational Medicine - economics ; Occupational Medicine - statistics & numerical data ; Shoulder - physiology ; Shoulder Joint - physiology ; Sport (general aspects) ; Sports Medicine - economics ; Sports Medicine - statistics & numerical data ; Surveys and Questionnaires ; Tobacco, tobacco smoking ; Toxicology ; Traumas. Diseases due to physical agents ; Workers' Compensation - statistics & numerical data ; Workload</subject><ispartof>Journal of shoulder and elbow surgery, 2005-05, Vol.14 (3), p.286-297</ispartof><rights>2005 Journal of Shoulder and Elbow Surgery Board of Trustees</rights><rights>2005 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-43723ad1b61292a49edfc6891127cc56b5d9e21994eb40c1c172435c73ac571d3</citedby><cites>FETCH-LOGICAL-c381t-43723ad1b61292a49edfc6891127cc56b5d9e21994eb40c1c172435c73ac571d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1058274604002502$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16833950$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15889028$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sallay, Peter I.</creatorcontrib><creatorcontrib>Hunker, Patti J.</creatorcontrib><creatorcontrib>Brown, Lindsey</creatorcontrib><title>Measurement of baseline shoulder function in subjects receiving workers’ compensation versus noncompensated subjects</title><title>Journal of shoulder and elbow surgery</title><addtitle>J Shoulder Elbow Surg</addtitle><description>The purpose of this study was to ascertain whether a measurable difference existed in normative scores for the American Shoulder and Elbow Surgeons (ASES) questionnaire between subjects who had an active workers’ compensation claim (WC) with no known shoulder injury and subjects without a compensation claim (non-WC). Subjects with non-shoulder-related orthopaedic injuries were recruited from a suburban orthopaedic sports medicine clinic and an urban occupational medicine clinic. They were asked to complete a composite questionnaire that consisted of demographic information and the ASES questionnaire. There were no significant differences in the ASES scores between subject groups. There were significant differences between subject groups with regard to work hours (P = .0001), work demands (P = .0001), and tobacco use (P = .0001). Subject group was also significantly associated with education level (P = .0001), marital status (P = .0001), work demands (P = .0001), gender (P = .0001), and sports participation (P = .0314). The ASES score was significantly affected by marital status (P = .0476), sports participation (P = .0008), and age (P = .0129).</description><subject>Activities of Daily Living</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Biological and medical sciences</subject><subject>Educational Status</subject><subject>Female</subject><subject>Health Status Indicators</subject><subject>Humans</subject><subject>Indiana</subject><subject>Male</subject><subject>Marital Status</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Occupational Medicine - economics</subject><subject>Occupational Medicine - statistics & numerical data</subject><subject>Shoulder - physiology</subject><subject>Shoulder Joint - physiology</subject><subject>Sport (general aspects)</subject><subject>Sports Medicine - economics</subject><subject>Sports Medicine - statistics & numerical data</subject><subject>Surveys and Questionnaires</subject><subject>Tobacco, tobacco smoking</subject><subject>Toxicology</subject><subject>Traumas. Diseases due to physical agents</subject><subject>Workers' Compensation - statistics & numerical data</subject><subject>Workload</subject><issn>1058-2746</issn><issn>1532-6500</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMuO1DAQRSMEYh7wAWyQN7BLKNt5OGKFRgODNIgNrC3HroBDYjeupBE7foPf40tw062ZHasqlc69Kp2ieMah4sDbV1M1EVYCoK5AVcDhQXHOGynKtgF4mHdoVCm6uj0rLogmAOhrEI-LM94o1YNQ58X-AxraEi4YVhZHNhjC2Qdk9DVus8PExi3Y1cfAfGC0DRPalVhCi37vwxf2I6ZvmOjPr9_MxmWHgcw_ep-PG7EQw90Z3V3Bk-LRaGbCp6d5WXx-e_3p6qa8_fju_dWb29JKxdeylp2QxvGh5aIXpu7RjbZVPeeis7Zph8b1KHjf1zjUYLnlnahlYztpbNNxJy-Ll8feXYrfN6RVL54szrMJGDfSbaeEBCkyyI-gTZEo4ah3yS8m_dQc9EG2nnSWrQ-yNSidZefM81P5Nizo7hMnuxl4cQIMWTOPyQTr6Z5rlZR9cyh6feQwq9h7TJqsx2DR-Sx61S76_7zxF-B7oCk</recordid><startdate>20050501</startdate><enddate>20050501</enddate><creator>Sallay, Peter I.</creator><creator>Hunker, Patti J.</creator><creator>Brown, Lindsey</creator><general>Mosby, Inc</general><general>Elsevier</general><scope>IQODW</scope><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></search><sort><creationdate>20050501</creationdate><title>Measurement of baseline shoulder function in subjects receiving workers’ compensation versus noncompensated subjects</title><author>Sallay, Peter I. ; Hunker, Patti J. ; Brown, Lindsey</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-43723ad1b61292a49edfc6891127cc56b5d9e21994eb40c1c172435c73ac571d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Activities of Daily Living</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Biological and medical sciences</topic><topic>Educational Status</topic><topic>Female</topic><topic>Health Status Indicators</topic><topic>Humans</topic><topic>Indiana</topic><topic>Male</topic><topic>Marital Status</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Occupational Medicine - economics</topic><topic>Occupational Medicine - statistics & numerical data</topic><topic>Shoulder - physiology</topic><topic>Shoulder Joint - physiology</topic><topic>Sport (general aspects)</topic><topic>Sports Medicine - economics</topic><topic>Sports Medicine - statistics & numerical data</topic><topic>Surveys and Questionnaires</topic><topic>Tobacco, tobacco smoking</topic><topic>Toxicology</topic><topic>Traumas. Diseases due to physical agents</topic><topic>Workers' Compensation - statistics & numerical data</topic><topic>Workload</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sallay, Peter I.</creatorcontrib><creatorcontrib>Hunker, Patti J.</creatorcontrib><creatorcontrib>Brown, Lindsey</creatorcontrib><collection>Pascal-Francis</collection><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 shoulder and elbow surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sallay, Peter I.</au><au>Hunker, Patti J.</au><au>Brown, Lindsey</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measurement of baseline shoulder function in subjects receiving workers’ compensation versus noncompensated subjects</atitle><jtitle>Journal of shoulder and elbow surgery</jtitle><addtitle>J Shoulder Elbow Surg</addtitle><date>2005-05-01</date><risdate>2005</risdate><volume>14</volume><issue>3</issue><spage>286</spage><epage>297</epage><pages>286-297</pages><issn>1058-2746</issn><eissn>1532-6500</eissn><abstract>The purpose of this study was to ascertain whether a measurable difference existed in normative scores for the American Shoulder and Elbow Surgeons (ASES) questionnaire between subjects who had an active workers’ compensation claim (WC) with no known shoulder injury and subjects without a compensation claim (non-WC). Subjects with non-shoulder-related orthopaedic injuries were recruited from a suburban orthopaedic sports medicine clinic and an urban occupational medicine clinic. They were asked to complete a composite questionnaire that consisted of demographic information and the ASES questionnaire. There were no significant differences in the ASES scores between subject groups. There were significant differences between subject groups with regard to work hours (P = .0001), work demands (P = .0001), and tobacco use (P = .0001). Subject group was also significantly associated with education level (P = .0001), marital status (P = .0001), work demands (P = .0001), gender (P = .0001), and sports participation (P = .0314). The ASES score was significantly affected by marital status (P = .0476), sports participation (P = .0008), and age (P = .0129).</abstract><cop>New York, NY</cop><pub>Mosby, Inc</pub><pmid>15889028</pmid><doi>10.1016/j.jse.2004.08.010</doi><tpages>12</tpages></addata></record> |
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subjects | Activities of Daily Living Adult Age Factors Biological and medical sciences Educational Status Female Health Status Indicators Humans Indiana Male Marital Status Medical sciences Middle Aged Multivariate Analysis Occupational Medicine - economics Occupational Medicine - statistics & numerical data Shoulder - physiology Shoulder Joint - physiology Sport (general aspects) Sports Medicine - economics Sports Medicine - statistics & numerical data Surveys and Questionnaires Tobacco, tobacco smoking Toxicology Traumas. Diseases due to physical agents Workers' Compensation - statistics & numerical data Workload |
title | Measurement of baseline shoulder function in subjects receiving workers’ compensation versus noncompensated subjects |
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