How does arthritis affect employment? Longitudinal evidence on 18,000 British adults with arthritis compared to matched controls

Rajah, Nasir; Webb, Edward; Hulme, Claire; Kingsbury, Sarah R.; West, Robert; Martin, Adam

doi:10.1016/j.socscimed.2022.115606

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…The most common way in which people with long-term conditions were affected was that they were more likely to leave employment. Previous research has shown that many conditions presented barriers to work prior to the pandemic [38,[43][44][45][46], so it may appear as if the decline in employment rates was unrelated to COVID-19. However, we studied only people with long-term conditions in employment at baseline, and compared their outcomes to people with similar characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…Variables for matching were selected based on consulting previous literature [e.g. 38,39], as well as consideration of what characteristics, such as key-worker status, would be relevant during the pandemic. We also matched based on baseline outcome variables.…”

Section: Mahalanobis Distance Matchingmentioning

confidence: 99%

“…To assess the impact of having a long-term condition on labour market participation, we chose employment status (including self-employed), as a dependent variable, as well as number of hours worked conditional on employment, in line with previous research [38]. Both of these outcomes were examined using random-effects models, with equations of the form…”

Section: Modellingmentioning

confidence: 99%

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Long-term health conditions and UK labour market outcomes during the COVID-19 pandemic

Webb,

Conaghan,

Henderson

et al. 2024

PLoS ONE

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Background Long-term health conditions can affect labour market outcomes. COVID-19 may have increased labour market inequalities, e.g. due to restricted opportunities for clinically vulnerable people. Evaluating COVID-19’s impact could help target support. Aim To quantify the effect of several long-term conditions on UK labour market outcomes during the COVID-19 pandemic and compare them to pre-pandemic outcomes. Methods The Understanding Society COVID-19 survey collected responses from around 20,000 UK residents in nine waves from April 2020-September 2021. Participants employed in January/February 2020 with a variety of long-term conditions were matched with people without the condition but with similar baseline characteristics. Models estimated probability of employment, hours worked and earnings. We compared these results with results from a two-year pre-pandemic period. We also modelled probability of furlough and home-working frequency during COVID-19. Results Most conditions (asthma, arthritis, emotional/nervous/psychiatric problems, vascular/pulmonary/liver conditions, epilepsy) were associated with reduced employment probability and/or hours worked during COVID-19, but not pre-pandemic. Furlough was more likely for people with pulmonary conditions. People with arthritis and cancer were slower to return to in-person working. Few effects were seen for earnings. Conclusion COVID-19 had a disproportionate impact on people with long-term conditions’ labour market outcomes.

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Section: Discussionmentioning

confidence: 99%

Section: Mahalanobis Distance Matchingmentioning

confidence: 99%

Section: Modellingmentioning

confidence: 99%

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Long-term health conditions and UK labour market outcomes during the COVID-19 pandemic

Webb,

Conaghan,

Henderson

et al. 2024

PLoS ONE

Self Cite

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Labor Force Participation in Adults With Osteoarthritis or Joint Symptoms Typical of Osteoarthritis: Findings From a Canadian Longitudinal Study on Aging

Badley,

Zahid,

Wilfong

et al. 2024

Arthritis Care & Research

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ObjectiveThe purpose of the study is to examine the relationship between osteoarthritis (OA) and joint symptoms typical of OA and labour force participation.MethodsData are from the baseline questionnaire of the Canadian Longitudinal Study on Aging for respondents aged 45‐74 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; 2‐3 symptomatic joint sites/no diagnosed arthritis; 1 symptomatic joint site/no diagnosed arthritis; no arthritis/no joint symptoms. Age‐stratified robust log‐Poisson regression analysis was used to examine the association between arthritis status and labour force participation.ResultsOverall 39% of the analytic sample reported being out of the labour force. Those with OA aged 45‐54 and 55‐64 years were significantly more likely to be out of the labour force than those with no arthritis/no joint symptoms, prevalence ratio (PR) 1.34 [95% CI 1.10‐1.65] and PR 1.13 [95% CI 1.06‐1.21] respectively, with similar results for those with 2‐3 joint symptoms/no OA in the 45‐54 year age group (PR 1.37 [95% CI 1.07‐1.76]). There was no difference for those aged 65‐74 years. Being an informal caregiver increased the likelihood of non‐participation in the labour force for those aged 55‐64 years, PR 1.09 [95% CI 1.04‐1.15].ConclusionOur results suggest that an exclusive reliance on an OA diagnosis to understand impact on labour force participation may miss a large segment of the middle‐aged population which may have undiagnosed OA or are at greater risk of OA because of joint problems.

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Evaluating the Factors Associated With Increased Risk of Self-Reported Ischemic Heart Disease in Patients With Arthritis

Sharma,

Ananthan,

Yousaf

2024

American Journal of Lifestyle Medicine

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Introduction. Arthritis has increased systematic repercussions either by extra-articular manifestations or due to limited activities. Methods. In this study, we used the 2020 and 2021 Behavioral Risk Factor Surveillance System (BRFSS), a large, nationally representative, cross-sectional telephone survey. The data was divided into the participants having arthritis and no arthritis. Results represented as an odds ratio (OR) with a 95% confidence interval (CI). We used a multivariate-adjusted logistic regression model to analyze the results. Fisher’s t-test was used to compare between 2 groups. P-value < 0.05 was considered significant. Results. BRFSS survey results led to 835,452 participants included in the final analysis. Of the included participant, 267020 has arthritis, and 568432 do not. In the arthritis group, 38.7% were males, and 61.3% were females. We found that patients with arthritis have a higher prevalence of diabetes and stroke. Adjusted logistic regression analysis showed that patients with arthritis have higher odds of reporting ischemic heart disease (IHD) (OR = 1.05, 95% CI 1.05-1.05, p-value < 0.001). Also, poor health status (mental, general, and physical) patients are more likely to report IHD. Conclusion. Patients with arthritis are more likely to report IHD, which further increases in patients with poor health status.

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How does arthritis affect employment? Longitudinal evidence on 18,000 British adults with arthritis compared to matched controls

Cited by 4 publications

References 24 publications

Long-term health conditions and UK labour market outcomes during the COVID-19 pandemic

Long-term health conditions and UK labour market outcomes during the COVID-19 pandemic

Labor Force Participation in Adults With Osteoarthritis or Joint Symptoms Typical of Osteoarthritis: Findings From a Canadian Longitudinal Study on Aging

Evaluating the Factors Associated With Increased Risk of Self-Reported Ischemic Heart Disease in Patients With Arthritis

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