E. Ohrnberger, Matthew J Sabin, Michael T. Lane, Heather R. Adams-Blair, Aaron D. Sciascia
{"title":"疼痛量表在运动人群中的有效性及其与计量测量的配对","authors":"E. Ohrnberger, Matthew J Sabin, Michael T. Lane, Heather R. Adams-Blair, Aaron D. Sciascia","doi":"10.1123/ijatt.2020-0115","DOIUrl":null,"url":null,"abstract":"The purpose of this study was to determine if subjective pain scales commonly used (a) are correlated to each other and with algometric measurements and (b) differ between collegiate athletes and noncollegiate athletes. There were consistent significant positive correlations between all pain scales, regardless of groupings (collegiate athletes: r = .234–.730, p ≤ .007; noncollegiate athletes: r = .518–.820, p ≤ .002; female: r = .437–.690, p ≤ .010; male: r = .492–.784, p ≤ .005). These findings suggest that the pain scales studied could be used with both athletic and nonathletic populations. Algometric assessments may be better suited for patients with altered pain processing compared with those without.","PeriodicalId":38680,"journal":{"name":"International Journal of Athletic Therapy and Training","volume":"86 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficacy of Pain Scales in the Athletic Population and Pairing With Algometric Measurements\",\"authors\":\"E. Ohrnberger, Matthew J Sabin, Michael T. Lane, Heather R. Adams-Blair, Aaron D. Sciascia\",\"doi\":\"10.1123/ijatt.2020-0115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study was to determine if subjective pain scales commonly used (a) are correlated to each other and with algometric measurements and (b) differ between collegiate athletes and noncollegiate athletes. There were consistent significant positive correlations between all pain scales, regardless of groupings (collegiate athletes: r = .234–.730, p ≤ .007; noncollegiate athletes: r = .518–.820, p ≤ .002; female: r = .437–.690, p ≤ .010; male: r = .492–.784, p ≤ .005). These findings suggest that the pain scales studied could be used with both athletic and nonathletic populations. Algometric assessments may be better suited for patients with altered pain processing compared with those without.\",\"PeriodicalId\":38680,\"journal\":{\"name\":\"International Journal of Athletic Therapy and Training\",\"volume\":\"86 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Athletic Therapy and Training\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1123/ijatt.2020-0115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Athletic Therapy and Training","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1123/ijatt.2020-0115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
Efficacy of Pain Scales in the Athletic Population and Pairing With Algometric Measurements
The purpose of this study was to determine if subjective pain scales commonly used (a) are correlated to each other and with algometric measurements and (b) differ between collegiate athletes and noncollegiate athletes. There were consistent significant positive correlations between all pain scales, regardless of groupings (collegiate athletes: r = .234–.730, p ≤ .007; noncollegiate athletes: r = .518–.820, p ≤ .002; female: r = .437–.690, p ≤ .010; male: r = .492–.784, p ≤ .005). These findings suggest that the pain scales studied could be used with both athletic and nonathletic populations. Algometric assessments may be better suited for patients with altered pain processing compared with those without.