Labor Force Participation in Adults With Osteoarthritis or Joint Symptoms Typical of Osteoarthritis: Findings From a Canadian Longitudinal Study on Aging
Elizabeth M. Badley, Shatabdy Zahid, Jessica M. Wilfong, Anthony V. Perruccio
{"title":"Labor Force Participation in Adults With Osteoarthritis or Joint Symptoms Typical of Osteoarthritis: Findings From a Canadian Longitudinal Study on Aging","authors":"Elizabeth M. Badley, Shatabdy Zahid, Jessica M. Wilfong, Anthony V. Perruccio","doi":"10.1002/acr.25398","DOIUrl":null,"url":null,"abstract":"<div>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>The purpose of the study is to examine the relationship between osteoarthritis (OA) and joint symptoms typical of OA and labor force participation.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Data are from the baseline questionnaire of the Canadian Longitudinal Study on Aging for respondents aged 45 to 74 years at baseline (n = 24,427). Individuals were categorized into one of five mutually exclusive arthritis status groups: diagnosed OA, diagnosed other type of arthritis, two to three symptomatic joint sites and no diagnosed arthritis, one symptomatic joint site and no diagnosed arthritis, and no arthritis and no joint symptoms. Age-stratified robust log-Poisson regression analysis was used to examine the association between arthritis status and labor force participation.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Overall, 39% of the analytic sample reported being out of the labor force. Those with OA aged 45 to 54 and 55 to 64 years were significantly more likely to be out of the labor force than those with no arthritis or no joint symptoms, with prevalence ratios (PRs) of 1.34 (95% confidence interval [CI] 1.10–1.65) and 1.13 (95% CI 1.06–1.21), respectively, with similar results for those with two to three joint symptoms and no OA in the 45 to 54 years age group (PR 1.37 [95% CI 1.07–1.76]). There was no difference for those aged 65 to 74 years. Being an informal caregiver increased the likelihood of nonparticipation in the labor force for those aged 55 to 64 years (PR 1.09 [95% CI 1.04–1.15]).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Our results suggest that an exclusive reliance on an OA diagnosis to understand impact on labor force participation may miss a large segment of the middle-aged population, which may have undiagnosed OA or be at greater risk of OA because of joint problems.</p>\n </section>\n </div>","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acr.25398","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arthritis Care & Research","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/acr.25398","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
The purpose of the study is to examine the relationship between osteoarthritis (OA) and joint symptoms typical of OA and labor force participation.
Methods
Data are from the baseline questionnaire of the Canadian Longitudinal Study on Aging for respondents aged 45 to 74 years at baseline (n = 24,427). Individuals were categorized into one of five mutually exclusive arthritis status groups: diagnosed OA, diagnosed other type of arthritis, two to three symptomatic joint sites and no diagnosed arthritis, one symptomatic joint site and no diagnosed arthritis, and no arthritis and no joint symptoms. Age-stratified robust log-Poisson regression analysis was used to examine the association between arthritis status and labor force participation.
Results
Overall, 39% of the analytic sample reported being out of the labor force. Those with OA aged 45 to 54 and 55 to 64 years were significantly more likely to be out of the labor force than those with no arthritis or no joint symptoms, with prevalence ratios (PRs) of 1.34 (95% confidence interval [CI] 1.10–1.65) and 1.13 (95% CI 1.06–1.21), respectively, with similar results for those with two to three joint symptoms and no OA in the 45 to 54 years age group (PR 1.37 [95% CI 1.07–1.76]). There was no difference for those aged 65 to 74 years. Being an informal caregiver increased the likelihood of nonparticipation in the labor force for those aged 55 to 64 years (PR 1.09 [95% CI 1.04–1.15]).
Conclusion
Our results suggest that an exclusive reliance on an OA diagnosis to understand impact on labor force participation may miss a large segment of the middle-aged population, which may have undiagnosed OA or be at greater risk of OA because of joint problems.
患有骨关节炎 (OA) 或有典型 OA 关节症状的成年人的劳动力参与情况:加拿大老龄问题纵向研究的结果。
研究目的本研究旨在探讨骨关节炎(OA)和典型关节症状与劳动力参与之间的关系:数据来自加拿大老龄化纵向研究(Canadian Longitudinal Study on Aging)的基线问卷,受访者基线年龄为 45-74 岁(n=24,427)。受调查者被分为五个相互排斥的关节炎状态组:确诊为 OA;确诊为其他类型的关节炎;2-3 个有症状的关节部位/未确诊为关节炎;1 个有症状的关节部位/未确诊为关节炎;无关节炎/无关节症状。采用年龄分层稳健对数-泊松回归分析来研究关节炎状况与劳动力参与之间的关系:总体而言,39%的分析样本报告说自己没有参加工作。与无关节炎/无关节症状者相比,45-54 岁和 55-64 岁有 OA 者失业的可能性明显更高,患病率比(PR)分别为 1.34 [95% CI 1.10-1.65] 和 1.13 [95% CI 1.06-1.21],45-54 岁年龄组中有 2-3 个关节症状/无 OA 者的患病率比(PR 1.37 [95% CI 1.07-1.76])与之类似。65-74 岁年龄组没有差异。在 55-64 岁年龄组中,非正式护理人员增加了不加入劳动力队伍的可能性,PR 为 1.09 [95% CI 1.04-1.15]:我们的研究结果表明,如果仅仅依赖于 OA 诊断来了解对劳动力参与的影响,可能会忽略很大一部分中年人群,他们可能患有未确诊的 OA,或者由于关节问题而面临更大的 OA 风险。
期刊介绍:
Arthritis Care & Research, an official journal of the American College of Rheumatology and the Association of Rheumatology Health Professionals (a division of the College), is a peer-reviewed publication that publishes original research, review articles, and editorials that promote excellence in the clinical practice of rheumatology. Relevant to the care of individuals with rheumatic diseases, major topics are evidence-based practice studies, clinical problems, practice guidelines, educational, social, and public health issues, health economics, health care policy, and future trends in rheumatology practice.