William Whittaker, James Higgerson, Martin Eden, Katherine Payne, Ross Wilkie, Suzanne Mm Verstappen
{"title":"患有“关节炎”的员工对病假和离职的影响:英国的一项比较观察研究。","authors":"William Whittaker, James Higgerson, Martin Eden, Katherine Payne, Ross Wilkie, Suzanne Mm Verstappen","doi":"10.1136/rmdopen-2024-004817","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To assess sickness absence and transitions from employment for employees with arthritis compared with employees without arthritis over time.</p><p><strong>Methods: </strong>We use 10 waves of the UK Household Longitudinal Survey (2009-2019). The sample (n=38 928) comprises employees aged 50 years to state retirement age. Arthritis was self-reported and could refer to people with conditions under the umbrella term 'inflammatory arthritis' or osteoarthritis (hereafter 'arthritis'). Weighted random-effects multivariable linear probability models were estimated for two employment-related measures (1) sickness absence and (2) transitions from employment to: (a) unemployment; (b) long-term sick; (c) early retirement. These were regressed against a variable for arthritis and confounding factors (age, socioeconomic job classification, employing sector, year and additional health conditions). Additional analyses examined an interaction between the variable arthritis and these factors to test whether the effect of arthritis differs between these groups.</p><p><strong>Results: </strong>Employees reporting having arthritis were more likely to have sickness absence (1.35 percentage points greater rate (95% CI (0.92, 1.78)) and to transition to long-term sick (0.79 percentage points (0.46, 1.13)) and early retirement (0.58 percentage points (0.05, 1.11)). No effect was found for transitions to unemployment. There was limited evidence that the effects of arthritis vary for employees in different socioeconomic classifications.</p><p><strong>Conclusions: </strong>Employees living with arthritis have higher rates of sickness absence and greater rates of transitions from employment to long-term sick and early retirement. Further work could look at ways to quantify the implications for individuals, employers and the state and ways to alleviate the effects of living with arthritis on work participation.</p>","PeriodicalId":21396,"journal":{"name":"RMD Open","volume":"10 4","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11624701/pdf/","citationCount":"0","resultStr":"{\"title\":\"Effects of employees living with an 'arthritis' on sickness absence and transitions out of employment: a comparative observational study in the UK.\",\"authors\":\"William Whittaker, James Higgerson, Martin Eden, Katherine Payne, Ross Wilkie, Suzanne Mm Verstappen\",\"doi\":\"10.1136/rmdopen-2024-004817\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To assess sickness absence and transitions from employment for employees with arthritis compared with employees without arthritis over time.</p><p><strong>Methods: </strong>We use 10 waves of the UK Household Longitudinal Survey (2009-2019). The sample (n=38 928) comprises employees aged 50 years to state retirement age. Arthritis was self-reported and could refer to people with conditions under the umbrella term 'inflammatory arthritis' or osteoarthritis (hereafter 'arthritis'). Weighted random-effects multivariable linear probability models were estimated for two employment-related measures (1) sickness absence and (2) transitions from employment to: (a) unemployment; (b) long-term sick; (c) early retirement. These were regressed against a variable for arthritis and confounding factors (age, socioeconomic job classification, employing sector, year and additional health conditions). Additional analyses examined an interaction between the variable arthritis and these factors to test whether the effect of arthritis differs between these groups.</p><p><strong>Results: </strong>Employees reporting having arthritis were more likely to have sickness absence (1.35 percentage points greater rate (95% CI (0.92, 1.78)) and to transition to long-term sick (0.79 percentage points (0.46, 1.13)) and early retirement (0.58 percentage points (0.05, 1.11)). No effect was found for transitions to unemployment. There was limited evidence that the effects of arthritis vary for employees in different socioeconomic classifications.</p><p><strong>Conclusions: </strong>Employees living with arthritis have higher rates of sickness absence and greater rates of transitions from employment to long-term sick and early retirement. Further work could look at ways to quantify the implications for individuals, employers and the state and ways to alleviate the effects of living with arthritis on work participation.</p>\",\"PeriodicalId\":21396,\"journal\":{\"name\":\"RMD Open\",\"volume\":\"10 4\",\"pages\":\"\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11624701/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RMD Open\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/rmdopen-2024-004817\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RHEUMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RMD Open","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/rmdopen-2024-004817","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
Effects of employees living with an 'arthritis' on sickness absence and transitions out of employment: a comparative observational study in the UK.
Purpose: To assess sickness absence and transitions from employment for employees with arthritis compared with employees without arthritis over time.
Methods: We use 10 waves of the UK Household Longitudinal Survey (2009-2019). The sample (n=38 928) comprises employees aged 50 years to state retirement age. Arthritis was self-reported and could refer to people with conditions under the umbrella term 'inflammatory arthritis' or osteoarthritis (hereafter 'arthritis'). Weighted random-effects multivariable linear probability models were estimated for two employment-related measures (1) sickness absence and (2) transitions from employment to: (a) unemployment; (b) long-term sick; (c) early retirement. These were regressed against a variable for arthritis and confounding factors (age, socioeconomic job classification, employing sector, year and additional health conditions). Additional analyses examined an interaction between the variable arthritis and these factors to test whether the effect of arthritis differs between these groups.
Results: Employees reporting having arthritis were more likely to have sickness absence (1.35 percentage points greater rate (95% CI (0.92, 1.78)) and to transition to long-term sick (0.79 percentage points (0.46, 1.13)) and early retirement (0.58 percentage points (0.05, 1.11)). No effect was found for transitions to unemployment. There was limited evidence that the effects of arthritis vary for employees in different socioeconomic classifications.
Conclusions: Employees living with arthritis have higher rates of sickness absence and greater rates of transitions from employment to long-term sick and early retirement. Further work could look at ways to quantify the implications for individuals, employers and the state and ways to alleviate the effects of living with arthritis on work participation.
期刊介绍:
RMD Open publishes high quality peer-reviewed original research covering the full spectrum of musculoskeletal disorders, rheumatism and connective tissue diseases, including osteoporosis, spine and rehabilitation. Clinical and epidemiological research, basic and translational medicine, interesting clinical cases, and smaller studies that add to the literature are all considered.