Phillip Fr Duke, Darcy Bennett, Ruby Strauss, Susan E Peters, Mark Ross
{"title":"Isometric shoulder strength: Normative Australian population data and associated factors.","authors":"Phillip Fr Duke, Darcy Bennett, Ruby Strauss, Susan E Peters, Mark Ross","doi":"10.1177/17585732231190577","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Age and sex are known predictors of isometric shoulder strength and therefore must be accounted for when noting strength values or administering assessments such as the Constant Score. Given the popularity of the Constant Score, it is important to ensure protocols and values remain clinically relevant and are representative of the intended population.</p><p><strong>Method: </strong>Isometric shoulder strength was recorded for 511 participants without shoulder pathology using the Chatillon<sup>TM</sup> hand-held dynamometer. Data were stratified by age and sex for comparison with published normative strength series. Other demographic variables were evaluated using linear regression models.</p><p><strong>Results: </strong>Normative values for shoulder strength were generated. Age (<i>p</i> = .003, <math><msup><mi>r</mi> <mn>2</mn></msup> <mo>=</mo> <mn>.010</mn></math> ) and sex (<i>p</i> < .001, <math><msup><mi>r</mi> <mn>2</mn></msup> <mo>=</mo> <mn>.026</mn></math> ) were significant predictors of shoulder strength. Height (<i>p</i> = .03, <math><msup><mi>r</mi> <mn>2</mn></msup> <mo>=</mo> <mn>.010</mn> <mo>)</mo></math> was a significant predictor of strength in females and weight was a significant predictor of strength in males (<i>p</i> < .001, <math><mspace></mspace> <msup><mi>r</mi> <mn>2</mn></msup> <mo>=</mo> <mn>.017</mn></math> ). Hand dominance was also significant, with non-dominant shoulder strength associated with higher strength in females (<i>p</i> < .001, <math><mspace></mspace> <msup><mi>r</mi> <mn>2</mn></msup> <mo>=</mo> <mn>.081</mn></math> ) and lower strength in males (<i>p</i> < .001, <math><mspace></mspace> <msup><mi>r</mi> <mn>2</mn></msup> <mo>=</mo> <mn>.154</mn></math> ).</p><p><strong>Conclusion: </strong>This study generated normative shoulder strength values for a sample of the Australian population and provided a comparison between other normative scores. Significant demographic predictors in addition to age and sex were identified.</p><p><strong>Level of evidence: </strong>III.</p>","PeriodicalId":36705,"journal":{"name":"Shoulder and Elbow","volume":"46 1","pages":"621-627"},"PeriodicalIF":1.5000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11622340/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Shoulder and Elbow","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/17585732231190577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/2 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Age and sex are known predictors of isometric shoulder strength and therefore must be accounted for when noting strength values or administering assessments such as the Constant Score. Given the popularity of the Constant Score, it is important to ensure protocols and values remain clinically relevant and are representative of the intended population.
Method: Isometric shoulder strength was recorded for 511 participants without shoulder pathology using the ChatillonTM hand-held dynamometer. Data were stratified by age and sex for comparison with published normative strength series. Other demographic variables were evaluated using linear regression models.
Results: Normative values for shoulder strength were generated. Age (p = .003, ) and sex (p < .001, ) were significant predictors of shoulder strength. Height (p = .03, was a significant predictor of strength in females and weight was a significant predictor of strength in males (p < .001, ). Hand dominance was also significant, with non-dominant shoulder strength associated with higher strength in females (p < .001, ) and lower strength in males (p < .001, ).
Conclusion: This study generated normative shoulder strength values for a sample of the Australian population and provided a comparison between other normative scores. Significant demographic predictors in addition to age and sex were identified.
背景:年龄和性别是已知的等肩力量的预测因素,因此在记录力量值或进行诸如恒定评分的评估时必须考虑到年龄和性别。鉴于恒评分的普及,重要的是要确保方案和价值保持临床相关性,并代表预期人群。方法:使用ChatillonTM手持式测力仪记录511名无肩关节病变的参与者的等长肩部力量。数据按年龄和性别分层,以便与已公布的标准强度序列进行比较。其他人口统计学变量使用线性回归模型进行评估。结果:得到肩部强度的规范性数值。年龄(p =。003, r 2 = 0.010)和性别(p r 2 = 0.026)是肩力量的显著预测因子。高度(p =。03, r 2 = 0.010)是女性力量的显著预测因子,体重是男性力量的显著预测因子(p r 2 = 0.017)。手优势也很显著,非优势肩部力量与女性较高的力量相关(p r 2 = 0.081),与男性较低的力量相关(p r 2 = 0.154)。结论:本研究为澳大利亚人口样本生成了规范的肩强度值,并提供了其他规范评分之间的比较。除年龄和性别外,还确定了重要的人口统计学预测因素。证据水平:III。