Cited 20 times in 
Cited 17 times in 
Incidence and Reappraisal of Known Risk Factors Associated With Carpal Tunnel Syndrome: A Nationwide, 11-Year, Population-Based Study in South Korea
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rhee, Seung Yeon | - |
| dc.contributor.author | CHO, HAN EOL | - |
| dc.contributor.author | Kim, Jong Hun | - |
| dc.contributor.author | Kim, Hyoung Seop | - |
| dc.date.accessioned | 2022-02-23T00:56:23Z | - |
| dc.date.available | 2022-02-23T00:56:23Z | - |
| dc.date.created | 2022-03-04 | - |
| dc.date.issued | 2021-10 | - |
| dc.identifier.issn | 1738-6586 | - |
| dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/187450 | - |
| dc.description.abstract | Background and Purpose Previous studies have revealed various risk factors for carpal tunnel syndrome (CTS), but few large-scale studies have been conducted. We used data from the 11-year, longitudinal, nationwide population-based National Health Insurance Service-National Health Screening cohort to identify the actual risk factors for CTS. Methods We collected patients with CTS newly diagnosed using electrodiagnostic studies while excluding radiculopathy, plexopathy, or polyneuropathy, which can be confused with CTS. The crude and standardized incidence rates of CTS were calculated. Univariate and multi-variate Cox analyses and the incidence of CTS were used to identify the risk factors for newly diagnosed CTS. Results The standardized incidence was 130.8/100,000 person-years based on the World Health Organization World Standard Population as a reference. Multivariate Cox analysis identified that the risk factors for CTS were being middle-aged, female, and obese, and having rheumatoid arthritis and Raynaud's syndrome, whereas gout and hypothyroidism were not risk factors. Diabetes and end-stage renal disease did not show a significant hazard ratio, although it is implicit that the durations of these diseases affect the development of CTS. Conclusions This study calculated the incidence of CTS and reappraised the associated risk factors found in previous studies. This information will be helpful for determining the pathophysiology of CTS, and hence aid the establishment of effective new public health policies. | - |
| dc.description.statementOfResponsibility | open | - |
| dc.language | English | - |
| dc.publisher | Korean Neurological Association | - |
| dc.relation.isPartOf | Journal of Clinical Neurology | - |
| dc.relation.isPartOf | JOURNAL OF CLINICAL NEUROLOGY | - |
| dc.rights | CC BY-NC-ND 2.0 KR | - |
| dc.title | Incidence and Reappraisal of Known Risk Factors Associated With Carpal Tunnel Syndrome: A Nationwide, 11-Year, Population-Based Study in South Korea | - |
| dc.type | Article | - |
| dc.contributor.college | College of Medicine (의과대학) | - |
| dc.contributor.department | Dept. of Rehabilitation Medicine (재활의학교실) | - |
| dc.contributor.googleauthor | Rhee, Seung Yeon | - |
| dc.contributor.googleauthor | CHO, HAN EOL | - |
| dc.contributor.googleauthor | Kim, Jong Hun | - |
| dc.contributor.googleauthor | Kim, Hyoung Seop | - |
| dc.identifier.doi | 10.3988/jcn.2021.17.4.524 | - |
| dc.relation.journalcode | J01327 | - |
| dc.identifier.eissn | 2005-5013 | - |
| dc.subject.keyword | carpal tunnel syndrome | - |
| dc.subject.keyword | risk factors | - |
| dc.subject.keyword | cohort studies | - |
| dc.subject.keyword | big data | - |
| dc.subject.keyword | epidemiology | - |
| dc.contributor.alternativeName | Cho, Han Eol | - |
| dc.contributor.affiliatedAuthor | CHO, HAN EOL | - |
| dc.identifier.scopusid | 2-s2.0-85117817775 | - |
| dc.identifier.wosid | 000702716300003 | - |
| dc.citation.volume | 17 | - |
| dc.citation.number | 4 | - |
| dc.citation.startPage | 524 | - |
| dc.citation.endPage | 533 | - |
| dc.identifier.bibliographicCitation | Journal of Clinical Neurology, Vol.17(4) : 524-533, 2021-10 | - |
| dc.identifier.rimsid | 72924 | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
| dc.subject.keywordAuthor | carpal tunnel syndrome | - |
| dc.subject.keywordAuthor | risk factors | - |
| dc.subject.keywordAuthor | cohort studies | - |
| dc.subject.keywordAuthor | big data | - |
| dc.subject.keywordAuthor | epidemiology | - |
| dc.subject.keywordPlus | BODY-MASS INDEX | - |
| dc.subject.keywordPlus | DIABETES-MELLITUS | - |
| dc.subject.keywordPlus | RAYNAUDS SYNDROME | - |
| dc.subject.keywordPlus | PREVALENCE | - |
| dc.subject.keywordPlus | DIALYSIS | - |
| dc.subject.keywordPlus | OBESITY | - |
| dc.subject.keywordPlus | AGE | - |
| dc.subject.keywordPlus | HYPOTHYROIDISM | - |
| dc.subject.keywordPlus | HEMODIALYSIS | - |
| dc.subject.keywordPlus | DIAGNOSIS | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART002761758 | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.relation.journalWebOfScienceCategory | Clinical Neurology | - |
| dc.relation.journalResearchArea | Neurosciences & Neurology | - |
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