{"title":"Incidence of long-term sick-listing in an urban area of Sweden and its relationship with demographic data of the population.","authors":"M Lurie, M Gustafsson, M Lindh, H Sanne","doi":"10.1177/140349489702500306","DOIUrl":null,"url":null,"abstract":"<p><p>By checking the card indexes of seven out of twelve Social Insurance Offices covering 66% of the total wage-earning population in the city of Göteborg the patients recorded for 90 days of continuous sick-listing were classified into four diagnostic categories according to the doctor's certificate: \"non-specific pain\" and \"specific pain\" of the musculoskeletal system, \"other pain\" and \"non-pain\" diagnoses. The overall yearly incidence of 90 days' sick-listing averaged 5.4%. A significant correlation was found between the incidence of 90 days' sick-listing due to \"non-pain\" and musculoskeletal pain diagnoses and the proportion of demographic characteristics of the areas. The hypothesis of presuming the highest association between non-specific pain diagnoses and demographic factors was rejected.</p>","PeriodicalId":76525,"journal":{"name":"Scandinavian journal of social medicine","volume":"25 3","pages":"180-4"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/140349489702500306","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scandinavian journal of social medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/140349489702500306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
By checking the card indexes of seven out of twelve Social Insurance Offices covering 66% of the total wage-earning population in the city of Göteborg the patients recorded for 90 days of continuous sick-listing were classified into four diagnostic categories according to the doctor's certificate: "non-specific pain" and "specific pain" of the musculoskeletal system, "other pain" and "non-pain" diagnoses. The overall yearly incidence of 90 days' sick-listing averaged 5.4%. A significant correlation was found between the incidence of 90 days' sick-listing due to "non-pain" and musculoskeletal pain diagnoses and the proportion of demographic characteristics of the areas. The hypothesis of presuming the highest association between non-specific pain diagnoses and demographic factors was rejected.