Prevalence and correlates of arthritis-attributable work limitation in the US population among persons ages 18–64: 2002 National Health Interview Survey Data

Arthritis Program, Centers for Disease Control and Prevention, Atlanta, Georgia 30341, USA.
Arthritis & Rheumatology (Impact Factor: 7.76). 04/2007; 57(3):355-63. DOI: 10.1002/art.22622
Source: PubMed


To estimate the national prevalence of arthritis-attributable work limitation (AAWL) among persons ages 18-64 with doctor-diagnosed arthritis and examine correlates of AAWL.
Using the 2002 National Health Interview Survey, we estimated the prevalence of AAWL (limited in whether individuals work, the type of work they do, or the amount of work they do) and correlates of AAWL in univariable and multivariable-adjusted logistic regression analyses. Survey data were analyzed in SAS and SUDAAN to account for the complex sample design.
A total of 5.3% of all US adults ages 18-64 reported AAWL; in this age group, AAWL is reported by approximately 30% of those who report arthritis. The prevalence of AAWL was highest among people ages 45-64 years (10.2%), women (6.3%), non-Hispanic blacks (7.7%), people with less than a high school education (8.6%), and those with an annual household income <$20,000 (12.6%). AAWL was substantially increased among people with arthritis-attributable activity limitations (multivariable-adjusted odds ratio [OR] 9.1, 95% confidence interval [95% CI] 7.1-11.6). The multivariable-adjusted likelihood of AAWL was moderately higher among non-Hispanic blacks (OR 1.6, 95% CI 1.2-2.3), Hispanics (OR 1.8, 95% CI 1.2-2.6), and people with high levels of functional/social/leisure limitations (OR 1.8, 95% CI 1.4-2.3) and was decreased among those with a college education (OR 0.6, 95% CI 0.4-0.8).
AAWL is highly prevalent, affecting millions of Americans and one-third of adults with doctor-diagnosed arthritis. Findings suggest the need for more targeted research to better understand the natural history, success of interventions, and effects of policy on AAWL. Public health interventions, including self-management education programs, may be effective in countering AAWL.

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Available from: Edward H Yelin, Oct 13, 2014
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    • "condition. However, one U.S. population-based study sample included participants with a broad range of arthritis and rheumatic condition diagnoses [1]. The outcome, arthritis-attributable work disability, was broad as well, addressing limitations in ability to work, as well as premature work cessation. "
    Work 07/2013; 45(4). DOI:10.3233/WOR-131667 · 0.52 Impact Factor
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    • "Also, higher prevalence of community PR among respondents with arthritis comorbidity was consistent with a priori expectations. Arthritis has been shown to increase levels of physical inactivity among adults with heart disease [37] and diabetes [38], as well as being linked to negative physical and mental health outcomes, including increased activity limitation [35, 39], work limitation [40], frequent mental distress [41], and serious psychological distress [42]. "
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    ABSTRACT: Community participation may be especially important for older adults, who are often at risk for unwanted declines in participation. We estimated the prevalence of community participation restriction (PR) due to perceived environmental barriers among older adults (≥50 years) and compared the impact among those with selected chronic conditions. Individuals with low-prevalence conditions reported high community PR (9.1-20.4%), while those with highly prevalent conditions (e.g., arthritis) had relatively low community PR (5.1-10.0%) but represented the greatest absolute numbers of condition-associated burden (>1 million). Across all conditions, more than half of those with community PR reported being restricted "always or often." Community PR most often resulted from modifiable environmental barriers. Promising targets to reduce community PR among adults ≥50 years with chronic conditions, particularly arthritis, include building design, sidewalks/curbs, crowd control, and interventions that improve the built environment.
    Journal of aging research 08/2011; 2011(4):759158. DOI:10.4061/2011/759158
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    • "Approximately 22% adults in the United States report having doctor-diagnosed arthritis and by 2030, an estimated 67 million Americans ages 18 years or older are projected to have doctor-diagnosed arthritis [1]. Besides significant limitations in vital activities, work related implications are reported [2]. But most importantly arthritis and other rheumatic conditions have been and remain the most common cause of disability in the United States [3]. "
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    ABSTRACT: A reliable method to evaluate and follow the course of arthritis is given by examination of the carpal bones within the wrist joint. Humans typically have eight such small angular bones arranged in two rows. The small size as well as the number make manual segmentation for an analysis of the disease progression a tedious process. Further, fully automatic approaches are still not very reliable. To support medical treatment we present a fully automatic machine learning approach which (i) finds a bounding box around every bone and (ii) outlines the contour and computes a 3-D model of every carpal. The proposed approach has been successfully evaluated on 110 clinical wrist data sets of arthritis patients. The data consists of 59 T1 and 51 T2 weighted MRI images. With the point-to-mesh error deviating from ground truth an average of 0.48 ± 0.45 mm / 0.59 ± 0.49 mm on T1 / T2 modality, accurate segmentation results have been achieved.
    Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on; 05/2011
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