C Catalina-Romero, J I Pastrana-Jiménez, M J Tenas-López, P Martínez-Muñoz, M Ruiz-Moraga, C Fernández-Labandera, E Calvo-Bonacho
{"title":"因适应障碍而长期生病缺勤。","authors":"C Catalina-Romero, J I Pastrana-Jiménez, M J Tenas-López, P Martínez-Muñoz, M Ruiz-Moraga, C Fernández-Labandera, E Calvo-Bonacho","doi":"10.1093/occmed/kqs043","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Although adjustment disorder is frequently reported in clinical settings, scientific evidence is scarce regarding its impact on sickness absence and the variables associated with sickness absence duration.</p><p><strong>Aims: </strong>To report sickness absence duration and to identify predictors of long-term sickness absence in patients with adjustment disorder.</p><p><strong>Methods: </strong>This observational, prospective study included subjects with non-work-related sickness absence (>15 days) after a diagnosis of adjustment disorder. A stepwise logistic regression analysis was conducted to identify the best predictors of long-term sickness absence (≥ 6 months).</p><p><strong>Results: </strong>There were 1182 subjects in the final analysis. The median duration of sickness absence due to adjustment disorder was 91 days. Twenty-two per cent of the subjects reported long-term sickness absence. After multivariate analysis, comorbidity (OR = 2.23, 95% CI 1.43-3.49), age (25-34 years old versus <25 years old: OR = 2.78, 95% CI 1.27-6.07; 35-44 years old versus <25 years old: OR = 3.70, 95% CI 1.71-7.99; 45-54 years old versus <25 years old: OR = 3.58, 95% CI 1.60-8.02; ≥ 55 years old versus <25 years old: OR = 6.35, 95% CI 2.64-15.31) and occupational level (blue collar versus white collar: OR = 1.52, 95% CI 1.10-2.09) remained significantly associated with long-term sickness absence. Comorbidity was the strongest predictor.</p><p><strong>Conclusions: </strong>It is possible to predict long-term sickness absence due to adjustment disorder on the basis of demographic, work-related and clinical information available during the basic assessment of the patient.</p>","PeriodicalId":520727,"journal":{"name":"Occupational medicine (Oxford, England)","volume":" ","pages":"375-8"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/occmed/kqs043","citationCount":"14","resultStr":"{\"title\":\"Long-term sickness absence due to adjustment disorder.\",\"authors\":\"C Catalina-Romero, J I Pastrana-Jiménez, M J Tenas-López, P Martínez-Muñoz, M Ruiz-Moraga, C Fernández-Labandera, E Calvo-Bonacho\",\"doi\":\"10.1093/occmed/kqs043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Although adjustment disorder is frequently reported in clinical settings, scientific evidence is scarce regarding its impact on sickness absence and the variables associated with sickness absence duration.</p><p><strong>Aims: </strong>To report sickness absence duration and to identify predictors of long-term sickness absence in patients with adjustment disorder.</p><p><strong>Methods: </strong>This observational, prospective study included subjects with non-work-related sickness absence (>15 days) after a diagnosis of adjustment disorder. A stepwise logistic regression analysis was conducted to identify the best predictors of long-term sickness absence (≥ 6 months).</p><p><strong>Results: </strong>There were 1182 subjects in the final analysis. The median duration of sickness absence due to adjustment disorder was 91 days. Twenty-two per cent of the subjects reported long-term sickness absence. After multivariate analysis, comorbidity (OR = 2.23, 95% CI 1.43-3.49), age (25-34 years old versus <25 years old: OR = 2.78, 95% CI 1.27-6.07; 35-44 years old versus <25 years old: OR = 3.70, 95% CI 1.71-7.99; 45-54 years old versus <25 years old: OR = 3.58, 95% CI 1.60-8.02; ≥ 55 years old versus <25 years old: OR = 6.35, 95% CI 2.64-15.31) and occupational level (blue collar versus white collar: OR = 1.52, 95% CI 1.10-2.09) remained significantly associated with long-term sickness absence. Comorbidity was the strongest predictor.</p><p><strong>Conclusions: </strong>It is possible to predict long-term sickness absence due to adjustment disorder on the basis of demographic, work-related and clinical information available during the basic assessment of the patient.</p>\",\"PeriodicalId\":520727,\"journal\":{\"name\":\"Occupational medicine (Oxford, England)\",\"volume\":\" \",\"pages\":\"375-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1093/occmed/kqs043\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Occupational medicine (Oxford, England)\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/occmed/kqs043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2012/4/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Occupational medicine (Oxford, England)","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/occmed/kqs043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2012/4/27 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
摘要
背景:虽然适应障碍在临床环境中经常被报道,但关于其对缺勤的影响以及与缺勤时间相关的变量的科学证据很少。目的:报告疾病缺勤时间,并确定适应障碍患者长期缺勤的预测因素。方法:本观察性前瞻性研究纳入了诊断为适应障碍后与工作无关的疾病缺勤(>15天)的受试者。采用逐步logistic回归分析确定长期病假(≥6个月)的最佳预测因子。结果:共纳入1182例受试者。因适应障碍而缺勤的中位时间为91天。22%的研究对象报告长期因病缺勤。多因素分析后,共病(OR = 2.23, 95% CI 1.43-3.49)、年龄(25-34岁)与结论:根据患者基本评估期间可获得的人口统计学、工作相关和临床信息,可以预测由于适应障碍导致的长期缺勤。
Long-term sickness absence due to adjustment disorder.
Background: Although adjustment disorder is frequently reported in clinical settings, scientific evidence is scarce regarding its impact on sickness absence and the variables associated with sickness absence duration.
Aims: To report sickness absence duration and to identify predictors of long-term sickness absence in patients with adjustment disorder.
Methods: This observational, prospective study included subjects with non-work-related sickness absence (>15 days) after a diagnosis of adjustment disorder. A stepwise logistic regression analysis was conducted to identify the best predictors of long-term sickness absence (≥ 6 months).
Results: There were 1182 subjects in the final analysis. The median duration of sickness absence due to adjustment disorder was 91 days. Twenty-two per cent of the subjects reported long-term sickness absence. After multivariate analysis, comorbidity (OR = 2.23, 95% CI 1.43-3.49), age (25-34 years old versus <25 years old: OR = 2.78, 95% CI 1.27-6.07; 35-44 years old versus <25 years old: OR = 3.70, 95% CI 1.71-7.99; 45-54 years old versus <25 years old: OR = 3.58, 95% CI 1.60-8.02; ≥ 55 years old versus <25 years old: OR = 6.35, 95% CI 2.64-15.31) and occupational level (blue collar versus white collar: OR = 1.52, 95% CI 1.10-2.09) remained significantly associated with long-term sickness absence. Comorbidity was the strongest predictor.
Conclusions: It is possible to predict long-term sickness absence due to adjustment disorder on the basis of demographic, work-related and clinical information available during the basic assessment of the patient.