Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

Vital Signs: Prevalence of Doctor-Diagnosed Arthritis and Arthritis-Attributable Activity Limitation — United States, 2013–2015


Article Metrics

Views equals page views plus PDF downloads

Views:

Citations:

On March 7, 2017, this report was posted online as an MMWR Early Release.

Kamil E. Barbour, PhD1; Charles G. Helmick, MD1; Michael Boring, MS1; Teresa J. Brady, PhD1 (View author affiliations)

View suggested citation and related materials

Key Points

•Arthritis is common, expensive, and a leading cause of disability. An estimated 54.4 million adults (22.7%) had doctor-diagnosed arthritis.

•Approximately 24 million adults with arthritis had activity limitations attributable to arthritis. Among adults with arthritis, the percentage limited by arthritis has increased by almost 20% over time.

•Approximately half of all adults with heart disease or diabetes had arthritis. Nearly one third of adults with obesity also had arthritis. Arthritis makes managing these conditions harder.

•Adults with arthritis are often prescribed opioids in the United States; however, better ways to help manage arthritis often exist. For example, physical activity can reduce pain and improve physical function by approximately 40%. However, one in three adults with arthritis report no leisure time physical activity.

•Using confidence and skills learned in self-management education workshops can help reduce pain, fatigue, and depression by 10% to 20%. However, only 11% had taken a self-management education workshop.

•Health care providers can play an important role in the management of arthritis. For example, adults with arthritis are more likely to attend a self-management education program when it is recommended by a health care provider.

•Additional information is available at https://www.cdc.gov/vitalsigns.

Abstract

Background: In the United States, doctor-diagnosed arthritis is a common and disabling chronic condition. Arthritis can lead to severe joint pain and poor physical function, and it can negatively affect quality of life.

Methods: CDC analyzed 2013–2015 data from the National Health Interview Survey, an annual, nationally representative, in-person interview survey of the health status and behaviors of the noninstitutionalized civilian U.S. adult population, to update previous prevalence estimates of arthritis and arthritis-attributable activity limitations.

Results: On average, during 2013–2015, 54.4 million (22.7%) adults had doctor-diagnosed arthritis, and 23.7 million (43.5% of those with arthritis) had arthritis-attributable activity limitations (an age-adjusted increase of approximately 20% in the proportion of adults with arthritis reporting activity limitations since 2002 [p-trend <0.001]). Among adults with heart disease, diabetes, and obesity, the prevalences of doctor-diagnosed arthritis were 49.3%, 47.1%, and 30.6%, respectively; the prevalences of arthritis-attributable activity limitations among adults with these conditions and arthritis were 54.5% (heart disease), 54.0% (diabetes), and 49.0% (obesity).

Conclusions and Comments: The prevalence of arthritis is high, particularly among adults with comorbid conditions, such as heart disease, diabetes, and obesity. Furthermore, the prevalence of arthritis-attributable activity limitations is high and increasing over time. Approximately half of adults with arthritis and heart disease, arthritis and diabetes, or arthritis and obesity are limited by their arthritis. Greater use of evidence-based physical activity and self-management education interventions can reduce pain and improve function and quality of life for adults with arthritis and also for adults with other chronic conditions who might be limited by their arthritis.

Introduction

In the United States, doctor-diagnosed arthritis is a common and widespread chronic condition (1,2). Arthritis is a leading cause of disability (3) and is projected to affect 78.4 million adults by 2040 (4). The most common form of arthritis is osteoarthritis; other forms include, but are not limited to, rheumatoid arthritis, gout, lupus, and fibromyalgia. The annual direct medical costs attributable to arthritis are approximately $81 billion in the United States (5). About one million knee and hip joint replacements occur each year; 99% occur because of arthritis-related pain and functional limitations (6). Among adults with arthritis, 27% report severe joint pain (7); one third of adults aged ≥45 years report anxiety or depression (8); three in 10 find stooping, bending, or kneeling very difficult; approximately 20% cannot or find it very difficult to walk three blocks (approximately one quarter mile) or push/pull large objects (9). Adults with arthritis are more than twice as likely to report an injury related to a fall (10), and working-aged adults with arthritis have lower employment rates compared with adults without arthritis (5).

Arthritis is a common comorbid condition among adults with heart disease, diabetes, or obesity, and the combination of arthritis and one of these chronic conditions has been found to be associated with greater levels of physical inactivity (11). Moreover, arthritis may also hinder the ability of adults with prediabetes to engage in the physical activity recommended to prevent diabetes (12).

Many adults with arthritis are prescribed opioids (13), but safer options exist to help manage arthritis-associated pain. The CDC Guideline for Prescribing Opioids for Chronic Pain states that insufficient evidence for and serious risks associated with long-term use of opioid therapy to treat chronic pain exist, and recommends use of exercise therapy, cognitive behavioral therapy, certain interventional procedures, acetaminophen, and nonsteroidal anti-inflammatory drugs for the treatment of arthritis (14). Although medications can help, nonpharmaceutical measures help as well. For example, physical activity decreases pain and improves function, each by almost 40% (15), and self-management education interventions produce improvements in a person’s confidence and skills to manage their condition and can reduce pain, fatigue, and depression by 10% to 20% (16). However, self-management education interventions are underused by adults with arthritis; only about 11% reported ever having taken a course (17). Furthermore, approximately one in three adults with arthritis report no leisure-time physical activity (18). A health care provider’s recommendation to patients with arthritis is important, because adults with arthritis are significantly more likely to attend a self-management education program to learn to manage their condition when recommended by a provider than adults with arthritis who were not recommended (19,20). Physical activity programs can reduce yearly health care costs. For example, an analysis found that participation in EnhanceFitness,* an evidence-based physical activity intervention, reduced total health care costs by $945 per person (21), and produced substantial improvements (up to 18%) in function (e.g., muscle strength and balance) and self-reported health at follow-up at 8 months (22).

To update prevalence estimates of arthritis and arthritis-attributable activity limitations, CDC analyzed 2013–2015 data from the National Health Interview Survey (NHIS).

Methods

NHIS is an annual, nationally representative, in-person interview survey of the health status and behaviors of the noninstitutionalized civilian U.S. adult population. In each household identified, one adult is randomly selected in each family to complete the “sample adult” questionnaire. Sampling weights were applied to account for household nonresponse and oversampling of non-Hispanic blacks (blacks), Hispanics, and non-Hispanic Asians (Asians). Poststratification adjustments were applied by the National Center for Health Statistics using 2010 census estimates for the years 2013–2015. NHIS data from 2013 (N = 34,557), 2014 (36,697), and 2015 (33,672) were combined and weighted. Annualized unadjusted and age-adjusted prevalence estimates (standardized to the projected 2000 U.S. standard population) (23) were calculated overall and stratified by selected demographic (sex, age group, race/ethnicity, education level, and employment status) and health (body mass index category,§ physical activity level, health status, doctor-diagnosed heart disease,** and doctor-diagnosed diabetes) characteristics. Absolute percent differences for all comparisons to the referent subgroups within each characteristic were considered statistically significant if the 95% confidence intervals of the differences of the age-adjusted estimates did not include zero. Orthogonal linear contrasts were performed to examine trends over time since 2002 in the age-adjusted prevalence of doctor-diagnosed arthritis and arthritis-attributable activity limitations among adults with arthritis.

Having doctor-diagnosed arthritis was defined as answering “yes” to the question “Have you ever been told by a doctor or other health professional that you have some form of arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia?” That standard question, in use since 2002, was designed to incorporate key elements of the 1994 public health definition of arthritis developed by the National Arthritis Data Workgroup, which sought to capture conditions treated by a rheumatologist or considered arthritis or a rheumatic condition by health care providers. Those who responded “yes” to arthritis also were asked “Are you now limited in any way in any of your usual activities because of arthritis or joint symptoms?” Persons responding “yes” to both questions were categorized as having arthritis-attributable activity limitations.

Results

During 2013–2015, an estimated 22.7% (54.4 million; age-adjusted prevalence = 21.0%) of all U.S. adults had doctor-diagnosed arthritis. Almost half (49.6%, 22.2 million) of adults aged ≥65 years had arthritis; 7.1% (8.0 million) of young adults (aged 18–44 years) and 29.3% (24.2 million) of middle-aged adults (aged 45–64 years) had arthritis (Table 1). The majority of adults with arthritis (59.0%, 32.2 million) were aged <65 years. The age-adjusted prevalence of arthritis was significantly higher among women (23.5%) than men (18.1%), and was significantly lower among Hispanics (15.4%) and Asians (11.8%) than non-Hispanic whites (whites) (22.6%), and among adults who completed college or higher (17.9%) than adults who had less than a high school education (21.2%). The age-adjusted prevalence of arthritis was highest among adults who were unable to work (43.9%) (Table 1). The age-adjusted prevalence of arthritis was lower among adults meeting physical activity recommendations (18.1%) than adults who reported insufficient activity (23.1%) or inactivity (23.6%), and higher among adults with fair/poor health (40.5%) than adults with very good/excellent health (15.4%) (Table 1).

The unadjusted prevalences of arthritis among adults with obesity, heart disease, or diabetes were 30.6%, 49.3%, and 47.1%, respectively (Table 1) After adjustment for age, adults who had obesity compared with no obesity, had diabetes compared with no diabetes, or had heart disease compared with no heart disease were approximately 1.5, 1.7, and 1.9 times more likely to have arthritis, respectively (Figure 1).

Among adults with arthritis, an estimated 43.5% (23.7 million; age-adjusted prevalence = 41.7%) had arthritis-attributable activity limitations (Table 2). The age-adjusted prevalence of arthritis-attributable activity limitations was higher among women (43.8%) than men (38.5%); among blacks (48.6%), Hispanics (44.3%), and non-Hispanic multiracial adults (50.5%) than among whites (40.1%); among adults with less than a high school education (52.1%) than among adults with higher education (32.1%–43.6%); and among adults who were unable to work (80%) or unemployed (48.4%) than among adults who were employed (28.3%) (Table 2). The age-adjusted prevalence of arthritis-attributable activity limitations was higher among adults who were physically inactive (54.0%) than adults meeting recommendations (30.1%); among adults with fair/poor health (70.6%) than adults with very good/excellent health (23.2%); and among adults who had obesity (45.2%), heart disease (54.8%), and diabetes (52.5%) (Table 2).

The age-adjusted prevalence of arthritis-attributable activity limitations among adults with arthritis was significantly higher in 2015 (42.8%; 95% CI = 40.5–45.1) compared with 2002 (35.9%; 95% CI = 34.1–37.6), an increase of 19.2% (p-trend <0.001) (Figure 2). The age-adjusted prevalence of doctor-diagnosed arthritis did not change significantly over time (p-trend = 0.71).

Conclusions and Comments

During 2013–2015, an average of more than one in five (54.4 million) adults in the United States had doctor-diagnosed arthritis, with 43.5% (23.7 million) of adults with arthritis reporting arthritis-attributable activity limitations. The prevalence of arthritis-attributable activity limitations among adults with arthritis increased by almost 20% over time (2002–2015) independent of the aging of the U.S. population, resulting in greater pain, disability, costs, and decreased quality of life.

As found in analyses of earlier NHIS surveys (1), women and adults who were unable to work, with fair/poor health, or with obesity, heart disease, or diabetes, not only had a higher prevalence of arthritis, but also had a higher prevalence of arthritis-attributable activity limitations. The prevalence of arthritis among adults who were unemployed was similar to the prevalence among employed adults, but unemployed adults had a much higher prevalence of arthritis-attributable activity limitations, suggesting that arthritis-attributable activity limitations might play a role in their unemployment (5). Similar to past analyses, blacks and whites had a similar prevalence of arthritis, but the prevalence of arthritis-attributable activity limitations was higher among blacks. Hispanics had a much lower prevalence of arthritis, but a proportionately higher prevalence of arthritis-attributable activity limitations.

Our findings suggest that the burden of arthritis is increasing and requires more widespread use of existing, underused evidence-based interventions. Physical activity is a proven strategy for managing arthritis, with known benefits for the management of many other chronic conditions (15). Arthritis is common among adults with heart disease, diabetes, or obesity, and the combination of arthritis and one of these chronic conditions has been associated with higher levels of physical inactivity (11), suggesting that arthritis-specific barriers to physical activity (concerns about worsening pain, damaging joints, and safely exercising) might be important concerns for adults with those conditions. Improving the health of adults with arthritis, including those with these combined chronic conditions, needs to include wider dissemination and implementation of evidence-based interventions. These interventions meet the unique needs of adults with arthritis and have been found to reduce pain and improve function, mood, and confidence to manage health and quality of life (15,16).

A U.S. Department of Health and Human Services initiative addresses the effects of multiple chronic conditions,†† which now affect one in four adults and are becoming increasingly common as the population ages. A previous study on multiple chronic conditions among adults aged ≥25 years found that arthritis is frequently present among the most common combinations of two and three conditions (24). CDC is promoting greater coordination among chronic disease programs within state health departments to address these chronic disease comorbidity concerns.§§ Active promotion of evidence-based self-management education and physical activity interventions is appropriate for various chronic conditions. The self-management education¶¶ and physical activity interventions*** that CDC recommends for adults with arthritis are examples of proven, low-cost, community interventions that can benefit adults with arthritis, physical limitations, and other chronic conditions.

The findings in this report are subject to at least six limitations. First, doctor-diagnosed arthritis was self-reported and not confirmed by a health care professional; however, this case definition was validated for public health surveillance (25). Second, because NHIS is a cross-sectional survey, a causal relationship between risk factors (i.e., obesity or physical activity) and arthritis and arthritis-attributable activity limitations could not be established, although strong evidence exists that indicates obesity is associated with an increased risk for incident knee osteoarthritis (a common form of arthritis) (26). Third, social desirability bias might play a role in some self-reported characteristics, with underreporting of weight and overreporting of height and leisure-time physical activity. Fourth, from 2013 to 2015, the NHIS response rates were 61.2%, 58.9%, 55.2%, respectively, indicating potential nonresponse bias, although survey weights were applied to address this bias and improve external validity (27). Fifth, if multivariate analyses were to be performed, certain observed group differences, such as those related to race/ethnicity and arthritis-attributable activity limitations, might have been explained by differences in prevalence of comorbid conditions or other factors (e.g., health care access). Finally, NHIS does not survey persons in long-term care institutions (e.g., nursing homes for the elderly and hospitals for the chronically ill or physically or intellectually disabled); therefore, this analysis likely underestimates the prevalence of arthritis and arthritis-attributable activity limitations.

Arthritis is a large and growing clinical and public health problem. In 2017, CDC is funding arthritis programs in 12 states to disseminate arthritis-appropriate evidence-based physical activity and self-management education interventions in their communities.††† Given the high prevalence of arthritis and the increase in arthritis-attributable activity limitations in the United States, health care providers and public health practitioners can address arthritis and other chronic conditions by prioritizing proven, nonpharmaceutical interventions, such as self-management education and appropriate physical activity, as effective ways to improve health outcomes, especially for groups with the highest prevalence of arthritis and arthritis-attributable activity limitations.


Corresponding author: Kamil E. Barbour, kbarbour@cdc.gov, 770-488-5145.

1Arthritis Program, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, CDC.


* https://www.ncoa.org/resources/program-summary-enhancefitness/.

Survey description documents are available at https://www.cdc.gov/nchs/nhis/quest_data_related_1997_forward.htm.

§ Body mass index = weight (kg)/(height [m])2; categorized as underweight/normal weight (<25.0), overweight (25.0 to <30.0), or obese (≥30.0).

Determined from responses to six questions regarding frequency and duration of participation in leisure-time activities of moderate or vigorous intensity and categorized according to the U.S. Department of Health and Human Services 2008 Physical Activity Guidelines for Americans. Total minutes (moderate to vigorous) of physical activity per week were categorized as follows: meeting recommendations (≥150 min per week); insufficient activity (1–149 min); or inactive (0 min).

** Adults were considered to have doctor-diagnosed heart disease if they answered yes to any of the following four questions: “Have you ever been told by a doctor or other health professional that you had coronary heart disease? Angina, also called angina pectoris? A heart attack (also called myocardial infarction)? Any kind of heart condition or heart disease (other than the ones I just asked about)?”

††https://www.hhs.gov/ash/about-ash/multiple-chronic-conditions/index.html.

§§https://www.cdc.gov/chronicdisease/about/state-public-health-actions.htm.

¶¶https://www.cdc.gov/arthritis/interventions/self_manage.htm.

*** https://www.cdc.gov/arthritis/pa_overview.htm.

†††https://www.cdc.gov/arthritis/state_programs/programs.

References

  1. Barbour KE, Helmick CG, Theis KA, et al. Prevalence of doctor-diagnosed arthritis and arthritis-attributable activity limitation—United States, 2010–2012. MMWR Morb Mortal Wkly Rep 2013;62:869–73. PubMed
  2. Barbour KE, Helmick CG, Boring M, Zhang X, Lu H, Holt JB. Prevalence of doctor-diagnosed arthritis at state and county levels—United States, 2014. MMWR Morb Mortal Wkly Rep 2016;65:489–94. CrossRef PubMed
  3. CDC. Prevalence and most common causes of disability among adults—United States, 2005. MMWR Morb Mortal Wkly Rep 2009;58:421–6. PubMed
  4. Hootman JM, Helmick CG, Barbour KE, Theis KA, Boring MA. Updated projected prevalence of self-reported doctor-diagnosed arthritis and arthritis-attributable activity limitation among US adults, 2015–2040. Arthritis Rheumatol 2016;68:1582–7. CrossRef PubMed
  5. Yelin E, Murphy L, Cisternas MG, Foreman AJ, Pasta DJ, Helmick CG. Medical care expenditures and earnings losses among persons with arthritis and other rheumatic conditions in 2003, and comparisons with 1997. Arthritis Rheum 2007;56:1397–407. CrossRef PubMed
  6. Helmick CG, Watkins-Castillo SI. The burden of musculoskeletal diseases in the United States: prevalence, societal and economic bosts (BMUS). 3rd ed. Rosemont, IL: The United States Bone and Joint Initiative; 2014. http://www.boneandjointburden.org/2014-report/ive0/joint-replacement
  7. Barbour KE, Boring M, Helmick CG, Murphy LB, Qin J. Prevalence of severe joint pain among adults with doctor-diagnosed arthritis—United States, 2002–2014. MMWR Morb Mortal Wkly Rep 2016;65:1052–6. CrossRef PubMed
  8. Murphy LB, Sacks JJ, Brady TJ, Hootman JM, Chapman DP. Anxiety and depression among US adults with arthritis: prevalence and correlates. Arthritis Care Res (Hoboken) 2012;64:968–76. PubMed
  9. Theis KA, Murphy L, Hootman JM, Wilkie R. Social participation restriction among US adults with arthritis: a population-based study using the International Classification of Functioning, Disability and Health. Arthritis Care Res (Hoboken) 2013;65:1059–69. CrossRef PubMed
  10. Barbour KE, Stevens JA, Helmick CG, et al. . Falls and fall injuries among adults with arthritis—United States, 2012. MMWR Morb Mortal Wkly Rep 2014;63:379–83. PubMed
  11. CDC. Arthritis as a potential barrier to physical activity among adults with obesity—United States, 2007 and 2009. MMWR Morb Mortal Wkly Rep 2011;60:614–8. PubMed
  12. Strauss SM, McCarthy M. Arthritis-related limitations predict insufficient physical activity in adults with prediabetes identified in the NHANES 2011–2014. Diabetes Educ 2017. Epub February 7, 2017. http://journals.sagepub.com/doi/abs/10.1177/0145721717691849?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed
  13. Hootman JM, Cisternas M, Murphy L, Losby J. Prevalence and trends in prescribed opioid use among US adults with arthritis, 2008–2013, Medical Expenditure Panel Survey [Abstract]. Arthritis Rheumatol. 2016;68(suppl 10). http://acrabstracts.org/abstract/prevalence-and-trends-in-prescribed-opioid-use-among-us-adults-with-arthritis-2008-2013-medical-expenditure-panel-survey
  14. Dowell D, Haegerich TM, Chou R. CDC Guideline for Prescribing Opioids for Chronic Pain—United States, 2016. MMWR Recomm Rep 2016;65(RR-1). CrossRef PubMed
  15. Kelley GA, Kelley KS, Hootman JM, Jones DL. Effects of community-deliverable exercise on pain and physical function in adults with arthritis and other rheumatic diseases: a meta-analysis. Arthritis Care Res (Hoboken) 2011;63:79–93. CrossRef PubMed
  16. Brady TJ, Murphy L, O’Colmain BJ, et al. A meta-analysis of health status, health behaviors, and healthcare utilization outcomes of the Chronic Disease Self-Management Program. Prev Chronic Dis 2013;10:120112. CrossRef PubMed
  17. Murphy LB, Brady TJ, Boring MA, et al. Self-management education participation among US adults with arthritis: Who’s attending? Arthritis Care Res (Hoboken) 2016. CrossRef PubMed
  18. CDC. State-specific prevalence of no leisure-time physical activity among adults with and without doctor-diagnosed arthritis—United States, 2009. MMWR Morb Mortal Wkly Rep 2011;60:1641–5. PubMed
  19. Murphy LB, Theis KA, Brady TJ, et al. A health care provider’s recommendation is highly associated with taking an arthritis self-management course. Presented at the International Conference on Support for Self Management of Health; May 11–13, 2010; Stirling, Scotland.
  20. Murphy L, Theis K, Brady T, et al. A health care provider’s recommendation is the most influential factor in taking an arthritis self-management course (SMC): a national perspective from the arthritis conditions health effects survey (ACHES). Arthritis Rheum 2007;56:S307–8.
  21. Centers for Medicare & Medicaid Services. Report to Congress: the Centers for Medicare & Medicaid Services’ evaluation of community-based wellness and prevention programs under section 4202 (b) of the Affordable Care Act. Baltimore, MD: Centers for Medicare & Medicaid Services; 2013. https://innovation.cms.gov/Files/reports/CommunityWellnessRTC.pdf
  22. Belza B, Shumway-Cook A, Phelan EA, Williams B, Snyder SJ, LoGerfo JP. The effects of a community-based exercise program on function and health in older adults: the EnhanceFitness Program. J Appl Gerontol 2006;25:291–306. CrossRef
  23. Klein RJ, Schoenborn CA. Age adjustment using the 2000 projected US population. Healthy people statistical notes, no. 20. Hyattsville, Maryland: US Department of Health and Human Services, CDC, National Center for Health Statistics; 2001. https://www.cdc.gov/nchs/data/statnt/statnt20.pdf
  24. Ward BW, Schiller JS. Prevalence of multiple chronic conditions among US adults: estimates from the National Health Interview Survey, 2010. Prev Chronic Dis 2013;10:120203. CrossRef PubMed
  25. Sacks JJ, Harrold LR, Helmick CG, Gurwitz JH, Emani S, Yood RA. Validation of a surveillance case definition for arthritis. J Rheumatol 2005;32:340–7. PubMed
  26. Nevitt MC. Obesity outcomes in disease management: clinical outcomes for osteoarthritis. Obes Res 2002;10(Suppl 1):33S–7S. CrossRef PubMed
  27. National Center for Health Statistics. National Health Interview Survey 2015: survey description. Hyattsville, Maryland: US Department of Health and Human Services, CDC, National Center for Health Statistics; 2016.
Return to your place in the textTABLE 1. Unadjusted and age-adjusted* annualized weighted prevalence of doctor-diagnosed arthritis in the adult (aged ≥18 years) population, by selected characteristics — National Health Interview Survey, United States, 2013–2015
Demographic/Health characteristic Unweighted sample size§ Annualized weighted sample size (millions)§ Weighted population distribution (%) Prevalence of doctor-diagnosed arthritis
% (95% CI)
Unadjusted Age-adjusted APD
Overall 104,784 239.5 (100) 22.7 (22.2 to 23.2) 21.0 (20.6 to 21.3) NA
Age group (yrs)
18–44 44,928 112.1 (46.8) 7.1 (6.8 to 7.5) NA NA
45–64 35,165 82.6 (34.5) 29.3 (28.6 to 30.0) NA NA
≥65 24,691 44.8 (18.7) 49.6 (48.6 to 50.5) NA NA
Sex
Men 46,851 115.4 (48.2) 19.1 (18.5 to 19.7) 18.1 (17.6 to 18.6) Referent
Women 57,933 124.1 (51.8) 26.0 (25.5 to 26.6) 23.5 (23.1 to 24.0) 5.4 (4.9 to 6.0)
Race/Ethnicity
White, non-Hispanic 64,108 157.0 (65.5) 26.3 (25.7 to 26.9) 22.6 (22.2 to 23.1) Referent
Black, non-Hispanic 14,493 27.9 (11.6) 21.8 (20.9 to 22.8) 22.2 (21.4 to 23.0) −0.4 (−1.3 to 0.4)
Hispanic 17,571 36.6 (15.3) 12.1 (11.4 to 12.8) 15.4 (14.6 to 16.1) −7.3 (−8.2 to −6.4)
Asian, non-Hispanic 5,957 13.1 (5.5) 11.1 (10.1 to 12.2) 11.8 (10.9 to 12.8) −10.8 (−11.9 to −9.8)
Multiple race, non-Hispanic 1,716 3.2 (1.3) 21.7 (19.1 to 24.5) 25.2 (22.7 to 27.9) 2.6 (−0.2 to 5.3)
American Indian/Alaska Native, non-Hispanic 741 1.3 (0.5) 24.6 (20.5 to 29.1) 24.4 (20.4 to 28.8) 1.7 (−2.4 to 5.9)
Education level
<High school diploma 15,489 31.6 (13.3) 25.9 (24.9 to 26.8) 21.2 (21.2 to 22.6) Referent
High school diploma 26,699 61.0 (25.6) 25.3 (24.5 to 26.1) 22.1 (21.5 to 22.8) 0.3 (−0.7 to 1.2)
At least some college 32,073 73.7 (30.9) 22.8 (22.1 to 23.5) 22.8 (22.2 to 23.4) 0.9 (0.0 to 1.7)
Completed college or greater 30,054 72.0 (30.2) 19.1 (18.4 to 19.8) 17.9 (17.4 to 18.5) −3.9 (−4.9 to −3.0)
Employment status
Employed/Self-employed 61,427 147.7 (61.7) 14.9 (14.5 to 15.4) 17.7 (17.2 to 18.2) Referent
Unemployed 5,577 13.6 (5.7) 14.3 (13.1 to 15.5) 19.3 (17.6 to 21.1) 1.7 (−0.2 to 3.5)
Unable to work 8,241 16.5 (6.9) 52.0 (50.3 to 53.7) 43.9 (42.2 to 45.7) 26.2 (24.5 to 28.0)
Other** 29,491 61.6 (25.7) 35.4 (34.5 to 36.2) 21.1 (20.4 to 21.7) 3.4 (2.6 to 4.2)
Physical activity
Meeting recommendations 49,063 115.8 (49.2) 17.3 (16.7 to 17.9) 18.1 (17.6 to 18.6) Referent
Insufficient activity 20,398 46.9 (19.9) 26.0 (25.1 to 26.9) 23.1 (22.4 to 23.9) 5.1 (4.2 to 5.9)
Inactive 33,565 72.5 (30.9) 29.2 (28.5 to 30.0) 23.6 (23.1 to 24.2) 5.6 (4.8 to 6.3)
Health status
Very good/Excellent 60,381 145.1 (60.6) 14.5 (14.0 to 14.9) 15.4 (15.1 to 15.8) Referent
Good 28,719 63.3 (26.5) 28.1 (27.3 to 29.0) 23.8 (23.2 to 24.5) 8.4 (7.7 to 9.1)
Fair/Poor 15,642 31.0 (13.0) 50.0 (48.9 to 51.2) 40.5 (39.3 to 41.7) 25 (23.7 to 26.4)
Body mass index
Underweight/Normal weight 36,317 84.3 (36.5) 16.4 (15.8 to 16.9) 16.4 (16.0 to 16.9) Referent
Overweight 34,617 79.1 (34.2) 22.5 (21.8 to 23.2) 19.7 (19.1 to 20.2) 3.2 (2.6 to 3.9)
Obese 30,240 67.8 (29.3) 30.6 (29.7 to 31.4) 27.7 (27.0 to 28.4) 11.3 (10.5 to 11.5)
Heart disease
No 91,280 211.6 (88.4) 19.2 (18.8 to 19.6) 19.1 (18.8 to 19.5) Referent
Yes 13,387 27.6 (11.6) 49.3 (48.1 to 50.5) 36.4 (34.9 to 38.0) 17.3 (15.7 to 18.9)
Diabetes
No 93,715 217.1 (90.7) 20.2 (19.7 to 20.7) 19.8 (19.4 to 20.2) Referent
Yes 11,044 22.4 (9.3) 47.1 (45.8 to 48.4) 33.7 (32.0 to 35.4) 13.9 (12.1 to 15.6)

Abbreviations: APD = absolute percent difference; CI = confidence interval; NA = not applicable.
* Age adjusted to the 2000 U.S. projected adult population, using three age groups: 18–44, 45–64, and ≥65 years.
Doctor-diagnosed arthritis was defined as an affirmative response to the question “Have you ever been told by a doctor or other health professional that you have some form of arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia?
§ Some categories might not sum to overall because of missing information on some characteristics.
APD for age-adjusted estimates.
** Students, volunteers, homemakers, retirees.

Return to your place in the textFIGURE 1. Age-adjusted percentage* of adults with doctor-diagnosed arthritis, by obesity, diabetes, and heart disease status — National Health Interview Survey, United States, 2013–2015

The figure above is a bar chart showing the age-adjusted prevalence of doctor-diagnosed arthritis among adults, by obesity, diabetes, and heart disease status, in the National Health Interview Survey, in the United States, during 2013–2015.

* With 95% confidence intervals indicated by error bars.

Return to your place in the textTABLE 2. Unadjusted and age-adjusted* annualized weighted prevalence of arthritis-attributable activity limitation among adults with doctor-diagnosed arthritis, by selected characteristics — National Health Interview Survey, United States, 2013–2015
Demographic/Health characteristic Unweighted sample size§ Annualized weighted sample size (millions)§ Weighted distribution of characteristic (%) Prevalence of arthritis-attributable activity limitations
% (95% CI)
Unadjusted Age-adjusted APD
Overall 26,442 54.3 (100) 43.5 (42.6 to 44.4) 41.7 (40.3 to 43.1) NA
Age group (yrs)
18–44 3,360 8.0 (14.7) 39.4 (37.0 to 41.8) NA NA
45–64 10,761 24.1 (44.5) 44.5 (43.1 to 45.8) NA NA
≥65 12,321 22.2 (40.9) 44.0 (42.8 to 45.2) NA NA
Sex
Men 9,740 22.0 (40.5) 40.7 (39.2 to 42.1) 38.5 (36.4 to 40.7) Referent
Women 16,702 32.3 (59.5) 45.4 (44.5 to 46.4) 43.8 (42.2 to 45.5) 5.3 (2.7 to 7.8)
Race/Ethnicity
White, non-Hispanic 18,563 41.3 (76.0) 42.1 (41.0 to 43.2) 40.1 (38.4 to 41.9) Referent
Black, non-Hispanic 3,888 6.1 (11.2) 49.9 (47.8 to 52.0) 48.6 (45.2 to 52.0) 8.5 (4.7 to 12.2)
Hispanic 2,577 4.4 (8.1) 47.7 (45.1 to 50.3) 44.3 (41.0 to 47.6) 4.1 (0.5 to 7.8)
Asian, non-Hispanic 716 1.5 (2.7) 38.9 (34.3 to 43.7) 37.6 (27.5 to 49.0) −2.5 (−13.5 to 8.5)
Multiple race, non-Hispanic 468 0.7 (1.3) 51.3 (44.5 to 58.0) 50.5 (41.7 to 59.2) 10.3 (1.1 to 19.5)
American Indian/Alaska Native, non-Hispanic 201 0.3 (0.6) 54.0 (44.0 to 63.6) 51.6 (37.9 to 65.0) 11.4 (−2.6 to 25.5)
Education level
<High school diploma 4,634 8.2 (15.1) 55.1 (52.9 to 57.2) 52.1 (47.9 to 56.3) Referent
High school diploma 7,421 15.4 (28.5) 44.0 (42.4 to 45.7) 43.1 (40.5 to 45.7) −9 (−13.9 to −4.2)
At least some college 8,154 16.8 (31.1) 44.9 (43.5 to 46.4) 43.6 (41.5 to 45.7) −8.5 (−13.2 to −3.8)
Completed college or greater 6,131 13.7 (25.4) 34.2 (32.5 to 36.0) 32.1 (29.4 to 34.8) −20 (−25.0 to −15.1)
Employment status
Employed/Self-employed 9,600 22.0 (40.5) 28.3 (27.1 to 29.6) 28.3 (26.8 to 29.9) Referent
Unemployed 915 1.9 (3.6) 47.5 (43.2 to 51.7) 48.4 (43.8 to 53.1) 20.1 (15.2 to 25.0)
Unable to work 4,511 8.6 (15.8) 81.3 (79.6 to 82.8) 80.0 (76.9 to 82.8) 51.7 (48.5 to 54.9)
Other** 11,411 21.8 (40.1) 43.7 (42.5 to 44.9) 44.9 (40.8 to 49.1) 16.6 (12.4 to 20.8)
Physical activity
Meeting recommendations 9,380 20.0 (37.5) 30.1 (28.9 to 31.4) 30.1 (28.4 to 31.9) Referent
Insufficient activity 5,804 12.2 (22.8) 43.8 (42.0 to 45.7) 43.0 (40.2 to 45.8) 12.9 (9.6 to 16.1)
Inactive 10,800 21.2 (39.7) 55.8 (54.4 to 57.1) 54.0 (51.4 to 56.6) 23.9 (20.8 to 27.0)
Health status
Very good/Excellent 9,632 21.0 (38.6) 23.4 (22.3 to 24.6) 23.2 (21.6 to 24.9) Referent
Good 8,729 17.8 (32.8) 42.4 (41.0 to 43.8) 41.3 (38.8 to 43.7) 18.1 (15.0 to 21.2)
Fair/Poor 8,072 15.5 (28.6) 72.0 (70.6 to 73.4) 70.6 (68.0 to 73.2) 47.4 (44.5 to 50.4)
Body mass index
Underweight/Normal weight 6,770 13.8 (26.3) 39.7 (38.2 to 41.3) 39.3 (36.6 to 42.0) Referent
Overweight 8,514 17.8 (34.0) 39.7 (38.2 to 41.2) 38.7 (36.5 to 41.0) −0.6 (−3.8 to 2.7)
Obese 10,172 20.7 (39.6) 49.0 (47.7 to 50.4) 45.2 (43.3 to 47.1) 5.9 (2.8 to 9.0)
Heart disease
No 19,455 40.6 (74.9) 39.9 (38.8 to 40.8) 38.7 (37.2 to 40.3) Referent
Yes 6,931 13.6 (25.1) 54.5 (53.0 to 56.1) 54.8 (50.9 to 58.6) 16 (11.8 to 20.8)
Diabetes
No 21,048 43.8 (80.6) 41.0 (40.0 to 41.9) 39.9 (38.5 to 41.4) Referent
Yes 5,386 10.5 (19.4) 54.0 (52.1 to 55.8) 52.5 (47.7 to 57.2) 12.5 (7.6 to 17.4)

Abbreviation: APD = absolute percent difference, CI = confidence interval; NA = not applicable.
* Age adjusted to the 2000 U.S. projected adult population, using three age groups: 18–44, 45–64, and ≥65 years.
Doctor-diagnosed arthritis was defined as an affirmative response to the question “Have you ever been told by a doctor or other health professional that you have some form of arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia? Those who answered “yes” were asked “Are you now limited in any way in any of your usual activities because of arthritis or joint symptoms?” Persons responding “yes” to both questions were defined as having arthritis-attributable activity limitations.
§ Some categories might not sum to overall because of missing information on some characteristics.
APD for age-adjusted estimates.
** Students, volunteers, homemakers, retirees.

Return to your place in the textFIGURE 2. Age-adjusted percentage* of persons with arthritis-attributable activity limitations among adults with doctor-diagnosed arthritis — National Health Interview Survey, United States, 2002–2015

The figure above is a line chart showing the age-adjusted percentage of persons with arthritis-attributable activity limitations among adults with doctor-diagnosed arthritis in the United States during 2002–2015.

* With 95% confidence intervals indicated by error bars.

Suggested citation for this article: Barbour KE, Helmick CG, Boring M, Brady TJ. Vital Signs: Prevalence of Doctor-Diagnosed Arthritis and Arthritis-Attributable Activity Limitation — United States, 2013–2015. MMWR Morb Mortal Wkly Rep 2017;66:246–253. DOI: http://dx.doi.org/10.15585/mmwr.mm6609e1.

Use of trade names and commercial sources is for identification only and does not imply endorsement by the U.S. Department of Health and Human Services.
References to non-CDC sites on the Internet are provided as a service to MMWR readers and do not constitute or imply endorsement of these organizations or their programs by CDC or the U.S. Department of Health and Human Services. CDC is not responsible for the content of pages found at these sites. URL addresses listed in MMWR were current as of the date of publication.

All HTML versions of MMWR articles are generated from final proofs through an automated process. This conversion might result in character translation or format errors in the HTML version. Users are referred to the electronic PDF version (https://www.cdc.gov/mmwr) and/or the original MMWR paper copy for printable versions of official text, figures, and tables.

Questions or messages regarding errors in formatting should be addressed to mmwrq@cdc.gov.

TOP
window.CDC.Policy.External.init();