Y. Terajima, Yukiko Shiro, Shuichi Aono, Keiko Owari, Kenichi Arai, Shinsuke Inoue, T. Matsubara, Makoto Nishihara, T. Ushida
{"title":"Investigation of influence factors on chronic pain in each generation","authors":"Y. Terajima, Yukiko Shiro, Shuichi Aono, Keiko Owari, Kenichi Arai, Shinsuke Inoue, T. Matsubara, Makoto Nishihara, T. Ushida","doi":"10.11154/pain.35.107","DOIUrl":null,"url":null,"abstract":"Purpose: The aim of this study is to clarify the difference in influencing factors for chronic pain in each generation. Method: There were 2 , 298 patients who visited Aichi Medical University Pain Center. The patient pedestrian score measured using iPad at the first visit was analyzed. Measurement items are Numerous Rating Scale (NRS), Pain Disability Assessment Scale (PDAS), Hospital Anxiety and Depression Scale (HADS), Pain Catastrophizing Scale (PCS), Pain Self–Efficacy Questionnaire (PSEQ), and Athens Insomnia Scale (AIS). For these items, average values were calculated for each age group of 10 years. Furthermore, linear regression was performed using NRS and PDAS as objective variables and other items as explanatory variables. A p value < 0 . 05 was considered significant. Result: NRS, PDAS and PCS were high after the 30 s, HADS and AIS were high in the working generation, and PSEQ was low in the working generation. The number of patients is the lowest in teens and increased in the 40 s, and there were many patients in the subsequent generations, with the largest number of men and women in their 60 s. In the multiple regression analysis with NRS as the objective variable, AIS was selected with a significant difference in the generations excluding the 80 s. In the 20 s and 70 s, PCS was selected. In the multiple regression analysis with PDAS as the objective variable, AIS was selected in the teens to 60 s, PSEQ was selected in the 30 s and over, and HADS depression was selected in the 40 s and over. Conclusion: We analyzed pain–related factors for each generation and found dif-ferences between generations. The working generation was worse in psychology and sleep than the other generations, and these affected pain symptoms.","PeriodicalId":41148,"journal":{"name":"Pain Research","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pain Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11154/pain.35.107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: The aim of this study is to clarify the difference in influencing factors for chronic pain in each generation. Method: There were 2 , 298 patients who visited Aichi Medical University Pain Center. The patient pedestrian score measured using iPad at the first visit was analyzed. Measurement items are Numerous Rating Scale (NRS), Pain Disability Assessment Scale (PDAS), Hospital Anxiety and Depression Scale (HADS), Pain Catastrophizing Scale (PCS), Pain Self–Efficacy Questionnaire (PSEQ), and Athens Insomnia Scale (AIS). For these items, average values were calculated for each age group of 10 years. Furthermore, linear regression was performed using NRS and PDAS as objective variables and other items as explanatory variables. A p value < 0 . 05 was considered significant. Result: NRS, PDAS and PCS were high after the 30 s, HADS and AIS were high in the working generation, and PSEQ was low in the working generation. The number of patients is the lowest in teens and increased in the 40 s, and there were many patients in the subsequent generations, with the largest number of men and women in their 60 s. In the multiple regression analysis with NRS as the objective variable, AIS was selected with a significant difference in the generations excluding the 80 s. In the 20 s and 70 s, PCS was selected. In the multiple regression analysis with PDAS as the objective variable, AIS was selected in the teens to 60 s, PSEQ was selected in the 30 s and over, and HADS depression was selected in the 40 s and over. Conclusion: We analyzed pain–related factors for each generation and found dif-ferences between generations. The working generation was worse in psychology and sleep than the other generations, and these affected pain symptoms.