Lawrence, R. C. et al. National Arthritis Data Workgroup. Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II. Arthritis Rheum. 58, 26-35

NIH, Bethesda, Maryland, USA.
Arthritis & Rheumatology (Impact Factor: 7.76). 01/2008; 58(1):26-35. DOI: 10.1002/art.23176
Source: PubMed

ABSTRACT To provide a single source for the best available estimates of the US prevalence of and number of individuals affected by osteoarthritis, polymyalgia rheumatica and giant cell arteritis, gout, fibromyalgia, and carpal tunnel syndrome, as well as the symptoms of neck and back pain. A companion article (part I) addresses additional conditions.
The National Arthritis Data Workgroup reviewed published analyses from available national surveys, such as the National Health and Nutrition Examination Survey and the National Health Interview Survey. Because data based on national population samples are unavailable for most specific rheumatic conditions, we derived estimates from published studies of smaller, defined populations. For specific conditions, the best available prevalence estimates were applied to the corresponding 2005 US population estimates from the Census Bureau, to estimate the number affected with each condition.
We estimated that among US adults, nearly 27 million have clinical osteoarthritis (up from the estimate of 21 million for 1995), 711,000 have polymyalgia rheumatica, 228,000 have giant cell arteritis, up to 3.0 million have had self-reported gout in the past year (up from the estimate of 2.1 million for 1995), 5.0 million have fibromyalgia, 4-10 million have carpal tunnel syndrome, 59 million have had low back pain in the past 3 months, and 30.1 million have had neck pain in the past 3 months.
Estimates for many specific rheumatic conditions rely on a few, small studies of uncertain generalizability to the US population. This report provides the best available prevalence estimates for the US, but for most specific conditions more studies generalizable to the US or addressing understudied populations are needed.

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Available from: Fred Wolfe, Sep 29, 2015
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    • "OA is the most prevalent form of arthropathy, the incidence of which increases with age, affecting around 50% of the aged population (Dillon et al., 2006; Lawrence et al., 2008). OA is primarily characterized by structural damage and functional failure of articular cartilage. "
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    ABSTRACT: Osteoarthritis (OA) is one of the most prevalent forms of joint disorder, associated with a tremendous socioeconomic burden worldwide. Various non-genetic and lifestyle-related factors such as aging and obesity have been recognized as major risk factors for OA, underscoring the potential role for epigenetic regulation in the pathogenesis of the disease. OA-associated epigenetic aberrations have been noted at the level of DNA methylation and histone modification in chondrocytes. These epigenetic regulations are implicated in driving an imbalance between the expression of catabolic and anabolic factors, leading eventually to osteoarthritic cartilage destruction. Cellular senescence and metabolic abnormalities driven by OAassociated risk factors appear to accompany epigenetic drifts in chondrocytes. Notably, molecular events associated with metabolic disorders influence epigenetic regulation in chondrocytes, supporting the notion that OA is a metabolic disease. Here, we review accumulating evidence supporting a role for epigenetics in the regulation of cartilage homeostasis and OA pathogenesis.
    Moleculer Cells 08/2015; 38(8). DOI:10.14348/molcells.2015.0200 · 2.09 Impact Factor
    • "In the last few decades, the prevalence of knee osteoarthritis (KOA) has increased substantially (Kim, 2008; Nguyen et al., 2011). In the United States alone, approximately 9.3 million adults are affected by symptomatic KOA (Lawrence et al., 2008). The mean age when being first diagnosed for KOA is about 53.5 years of age and 50% of all patients are younger than 55 years (Losina et al., 2013). "
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    ABSTRACT: The aim of this study was to monitor the long-term effects of skiing on health-related parameters and implant related factors like loosening and wear in patients with total knee arthroplasty. This paper describes the overall study design, general demographics, and physiological demand of the intervention phase. A control group design consisting of an intervention group (n = 14; age: 70.4 ± 4.5 years) and a control group (n = 17; age: 71.5 ± 5.1 years) was utilized in this study. Parameters of interest were measured during pre-, post-, and retention test sessions. During the 12 weeks of intervention, an average of 25.5 days of guided skiing was conducted by each patient. Daily heart rate (HR) profiles and global positioning system data throughout the ski day were recorded. The intervention group completed an average of 3393 vertical meters of downhill skiing, with a total skiing distance of 33.6 km/day. Average skiing speed was 8.2 m/s. In the skiing phase, the average physiological load was 75.9 ± 6.6% of HRmax . Further effects of the 12-week skiing intervention on the tested parameters will be reported in the following papers of this supplementum. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
    Scandinavian Journal of Medicine and Science in Sports 08/2015; 25(S2-Suppl 2):3-9. DOI:10.1111/sms.12459 · 2.90 Impact Factor
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    • "Aging and Disease • Volume 5, Number 2, April 2014 2 brake on chondrocyte endochondral ossification and matrix breakdown, and participate to osteophyte formation. OA is one of the most common sources of pain and disability in the elderly [8] [9] and age is considered as the single greatest risk factor [10] [11]. Indeed, OA development is highly age-related. "
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    ABSTRACT: Transforming growth factor beta (TGFb) is a major signalling pathway in joints. This superfamilly is involved in numerous cellular processes in cartilage. Usually, they are considered to favor chondrocyte differentiation and cartilage repair. However, other studies show also deleterious effects of TGFb which may induce hypertrophy. This may be explained at least in part by alteration of TGFb signaling pathways in aging chondrocytes. This review focuses on the functions of TGFb in joints and the regulation of its signaling mediators (receptors, Smads) during aging and osteoarthritis.
    Aging and Disease 12/2014; 5(6):394-405. DOI:10.14336/AD.2014.0500394 · 3.07 Impact Factor
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