Prevalence of Arthritis and Arthritis-Attributable Activity Limitation — United States, 2016–2018
Weekly / October 8, 2021 / 70(40);1401–1407
Kristina A. Theis, PhD1; Louise B. Murphy, PhD1; Dana Guglielmo, MPH1,2; Michael A. Boring, MS3; Catherine A. Okoro, PhD4; Lindsey M. Duca, PhD1,5; Charles G. Helmick, MD1 (View author affiliations)View suggested citation
What is already known about this topic?
Arthritis is a leading cause of disability among U.S. adults. Arthritis‐attributable medical care expenditures and earnings losses were responsible for >$300 billion direct and indirect annual costs in 2013.
What is added by this report?
National prevalence of arthritis and arthritis-attributable activity limitations (AAAL) continue to increase in absolute number: 58.5 million (23.7%) U.S. adults have arthritis, 25.7 million (43.9%) of whom have AAAL. Both conditions are most prevalent among adults with worse physical and mental health profiles and more social disadvantage.
What are the implications for public health practice?
More widespread dissemination of existing, evidence-based, community-delivered interventions, along with clinical coordination and attention to social determinants of health (e.g., improved social, economic, and mental health opportunities), can help reduce widespread arthritis prevalence and its adverse effects.
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Arthritis has been the most frequently reported main cause of disability among U.S. adults for >15 years (1), was responsible for >$300 billion in arthritis-attributable direct and indirect annual costs in the U.S. during 2013 (2), is linked to disproportionately high levels of anxiety and depression (3), and is projected to increase 49% in prevalence from 2010-2012 to 2040 (4). To update national prevalence estimates for arthritis and arthritis-attributable activity limitation (AAAL) among U.S. adults, CDC analyzed combined National Health Interview Survey (NHIS) data from 2016–2018. An estimated 58.5 million adults aged ≥18 years (23.7%) reported arthritis; 25.7 million (10.4% overall; 43.9% among those with arthritis) reported AAAL. Prevalence of both arthritis and AAAL was highest among adults with physical limitations, few economic opportunities, and poor overall health. Arthritis was reported by more than one half of respondents aged ≥65 years (50.4%), adults who were unable to work or disabled* (52.3%), or adults with fair/poor self-rated health (51.2%), joint symptoms in the past 30 days (52.2%), activities of daily living (ADL)† disability (54.8%), or instrumental activities of daily living (IADL)§ disability (55.9%). More widespread dissemination of existing, evidence-based, community-delivered interventions, along with clinical coordination and attention to social determinants of health (e.g., improved social, economic, and mental health opportunities), can help reduce widespread arthritis prevalence and its adverse effects.
NHIS is an ongoing, nationally representative, in-person interview health survey of the noninstitutionalized, U.S. civilian population. Analyses were limited to adults aged ≥18 years. Unweighted sample sizes and final response rates of the Sample Adult component¶ for 2016, 2017, and 2018 were 33,028 (54.3%); 26,742 (53.0%); and 25,417 (53.1%), respectively. Arthritis was ascertained by a response of “yes” to, “Have you ever been told by a doctor or other health care professional that you have arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia?” AAAL was ascertained among those with arthritis by a response of “yes” to, “Are you now limited in any way in any of your usual activities because of arthritis or joint symptoms?” Annualized unadjusted and age-standardized** prevalence estimates of arthritis and AAAL were generated overall and by selected sociodemographic,†† health,§§ and function characteristics.¶¶ Sampling weights were applied to account for the complex survey design, to generate nationally representative estimates, and to adjust for nonresponse. Subgroup differences were assessed using pairwise t-tests; orthogonal linear contrasts were performed to conduct linear trend tests in ordinal variables. Unadjusted estimates are reported in text unless otherwise noted; all differences are significant at α = 0.05. To examine change over time, a secondary analysis using identical methods was conducted to produce annualized absolute prevalence estimates of arthritis and AAAL for the combined years 2003–2005, 2007–2009, 2010–2012, and 2013–2015. These years were chosen to correspond to previous surveillance reports.*** A linear model trend test was conducted with significance set at α = 0.05.††† Analyses were conducted in SAS (version 9.4; SAS Institute) and SUDAAN (version 11.0; RTI International). This activity was reviewed by CDC and was conducted consistent with applicable federal law and CDC policy.§§§
During 2016–2018, 58.5 million U.S. adults aged ≥18 years (23.7%; 21.5% age-standardized) are estimated to have arthritis; 25.7 million (43.9%; 40.8% age-standardized) of those with arthritis are estimated to have AAAL (Figure), representing 10.4% (9.4% age-standardized) of the total U.S. adult population. Annualized absolute prevalence of both arthritis and AAAL continues nearly two decades of an increasing statistically significant linear trend (Figure). Prevalence of arthritis increased with increasing age, body mass index (BMI), aerobic physical inactivity, and worsening psychological distress and self-rated health, and decreased with increasing educational attainment and income-to-poverty ratio (Table 1). Arthritis prevalence was >50% among adults aged ≥65 years (50.4%), adults who were unable to work or disabled (52.3%), and adults with fair/poor self-rated health (51.2%), joint symptoms in the past 30 days (52.2%), ADL disability (54.8%), and IADL disability (55.9%).
Among adults with arthritis, unadjusted prevalence of AAAL exceeded 50% in several groups, including adults with joint symptoms in the past 30 days (51.6%), adults who were unable to work or disabled (54.7%), adults of other/multiple races (54.5%) or non-Hispanic American Indian or Alaska Natives (60.7%), adults with low income (53.3%) or poor/near poor income-to-poverty ratios (63.3%), or with moderate psychological distress (59.5%) (Table 2). AAAL was also reported by a high proportion of adults with arthritis who had an ADL disability (82.6%), IADL disability (80.4%), serious psychological distress (76.3%), or fair/poor self-rated health (72.6%).
Annualized estimates from 2016–2018 indicate that the number of U.S. adults with arthritis (58.5 million) and AAAL (25.7 million) increased compared with 2013–2015 estimates (54.4 million and 23.7 million, respectively) (5). Arthritis prevalence continues to align closely with projections, but the percentage of the U.S. population reporting AAAL during 2016–2018 (10.4%) had already exactly met the 2020 projection (10.4%) (4), continuing a previously observed acceleration in the rise of AAAL (5).
Age-standardization had varying effects on subgroup estimates (e.g., changes in magnitude of point estimates [from <1.0 to >10.0 percentage points] and in direction). These shifts reflect both the aging of the U.S. population and that the standard projected 2000 population does not always closely match current demographics for U.S. adults with arthritis, underscoring the importance of focusing on absolute numbers in public health planning. Between the 2013–2015 and 2016–2018 estimates, 4.1 and 2 million more adults reported arthritis and AAAL respectively, continuing a statistically significant linear trend started in 2003–2005 (Figure).
This report characterizes a specific arthritis impact measure, AAAL, and identifies subgroups to prioritize for interventions. The prevalence of both arthritis and AAAL was higher in subgroups representing adults with fewer economic opportunities (i.e., lower education, unable to work or disabled, and lower income-to-poverty ratios), poorer overall health (i.e., higher BMI, less physical activity, more serious psychological distress, and worse self-rated health), and more physical limitations (i.e., joint symptoms in the past 30 days and ADL and IADL disabilities). To address the substantial and growing effects of arthritis and AAAL on the U.S. adult population, it is therefore important to consider adults with this combination of characteristics who would be ideally suited to a multifaceted approach, including intentional outreach to groups at or soon to be at high risk through a social determinants of health approach (6), enhanced clinical and community linkages, and more widespread dissemination of evidenced-based public health interventions.
Existing self-management education and physical activity public health interventions that are arthritis-appropriate and inclusive of adults with disabilities have proven benefits, including improved aerobic activity, confidence, and self-rated health and reduced depression, fatigue, and pain (7,8). These positive effects might be bolstered by combination with medical management, particularly for joint symptoms and mental health. Self-management and clinical efforts might be further enhanced through greater systematic attention to vulnerable groups and by preemptively taking a social determinants of health approach to examine the influence of environment and opportunities on health outcomes, such as for adults whose employment has been negatively affected by arthritis. Persons with rheumatic conditions are known to underuse the Americans with Disabilities Act to address community barriers (e.g., transportation, building access) or receive workplace accommodations, but physician suggestion can increase use, promoting behavior change toward action (9). In addition, the Job Accommodation Network¶¶¶ is a free service that provides confidential individual counseling, advice, facilitation of job accommodations, and resolution of disability employment issues.
A 2018 study found that symptoms of anxiety are more common than are those of depression among adults with arthritis and more prevalent among these adults aged 18–44 years versus older age groups and in persons with chronic pain versus without (3). Psychological distress and despair have previously been identified as contributing factors for excess mortality among all adults aged 25–64 years (10). Younger adults with arthritis might especially benefit from mental health screening,**** the functional and psychological benefits of physical activity,†††† and clinical interventions for pain and disability management.
The findings in this report are subject to at least two limitations. First, data were self-reported and are subject to recall and social desirability bias. Second, because of the cross-sectional design, a causal relationship between the study outcomes (i.e., arthritis and AAAL) and the characteristics examined cannot be inferred.
During 2016–2018, the estimated number of U.S. adults aged ≥18 years reporting arthritis and AAAL increased by 4.1 and 2 million, respectively, compared with 2013–2015. In addition, AAAL prevalence continues to increase more rapidly than was projected. Because population aging and other contributing factors (e.g., obesity) are expected to sustain these trends, public health, medical, and senior and other service systems face substantial challenges in addressing the needs of adults with arthritis, who already account for nearly one quarter of U.S. adults. A coordinated approach of expanding intervention implementation among adults already limited by arthritis while mitigating future negative arthritis effects by creating “social, physical, and economic environments that promote attaining the full potential for health and well-being,”§§§§ could help improve quality of life and limit the personal and societal impacts of arthritis.
Corresponding author: Kristina A. Theis, firstname.lastname@example.org, 770-488-1351.
1Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, CDC; 2Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee; 3ASRT Inc., Smyrna, Georgia; 4Division of Human Development and Disability, National Center on Birth Defects and Developmental Disabilities, CDC; 5Epidemic Intelligence Service, CDC.
All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
* This category is a combination of respondents self-reporting their reason for not working as: “temporarily unable to work because of health reasons” or “disabled.”
† ADL disability was queried in the Person File and matched to respondents in the Sample Adult file, identified by “yes” to, “Because of a physical, mental, or emotional problem, [do you] need the help of other persons with personal care needs, such as eating, bathing, dressing, or getting around inside this home?”
§ IADL disability was queried in the Person File and matched to respondents in the Sample Adult file, identified by “yes” to, “Because of a physical, mental, or emotional problem, [do you] need the help of other persons in handling routine needs, such as everyday household chores, doing necessary business, shopping, or getting around for other purposes?”
¶ Survey description documents are available at https://www.cdc.gov/nchs/nhis/1997-2018.htm.
** Age-standardized to the 2000 projected U.S. population with three age groups (18–44, 45–64, and ≥65 years). https://www.cdc.gov/nchs/data/statnt/statnt20.pdfpdf icon
†† Age, sex, race and ethnicity, sexual identity, education, employment status, and income-to-poverty ratio values for the income-to-poverty ratio variable were calculated using NHIS imputed income files https://www.cdc.gov/nchs/data/nhis/tecdoc18.pdfpdf icon.
§§ Body mass index [weight (kg)/(height [m])2] reported as: under/healthy weight (<25.0), overweight (25.0–29.9), or obese (≥30); aerobic physical activity level reported as: active (≥150 minutes), insufficiently active (1–149 minutes), or inactive (0 minutes) moderate-intensity leisure-time aerobic physical activity per 2018 Physical Activity Guidelines for Americans (https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdfpdf iconexternal icon); psychological distress (none/mild, moderate, severe measured by the Kessler-6 Scale https://www.hcp.med.harvard.edu/ncs/k6_scales.phpexternal icon); self-rated health (excellent/very good, good, or fair/poor).
¶¶ Measured by joint symptoms (pain, aching, or stiffness in the past 30 days), ADL disability, and IADL disability.
*** https://www.cdc.gov/mmwr/preview/mmwrhtml/mm5540a2.htm?s_cid=mm5540a2_e; https://www.cdc.gov/mmwr/preview/mmwrhtml/mm5939a1.htm?s_cid=mm5939a1_w; https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6244a1.htm; and https://www.cdc.gov/mmwr/volumes/66/wr/mm6609e1.htm
§§§ 45 C.F.R. part 46.102(l)(2), 21 C.F.R. part 56; 42 U.S.C. Sect. 241(d); 5 U.S.C. Sect. 552a; 44 U.S.C. Sect. 3501 et seq.
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FIGURE. Weighted number of adults aged ≥18 years with arthritis* and arthritis-attributable activity limitation†,§,¶,** — National Health Interview Survey, United States, 2003–2018
Abbreviation: AAAL = arthritis-attributable activity limitation.
* Responded “yes” to, “Have you ever been told by a doctor or other health professional that you have arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia?”
† Responded “yes” to, “Are you now limited in any way in any of your usual activities because of arthritis or joint symptoms?”
§ 95% confidence intervals indicated by error bars.
¶ Separate linear model trend tests were conducted for both outcomes with significance set at α = 0.05.
** The p for trend for both outcomes was <0.001.
Suggested citation for this article: Theis KA, Murphy LB, Guglielmo D, et al. Prevalence of Arthritis and Arthritis-Attributable Activity Limitation — United States, 2016–2018. MMWR Morb Mortal Wkly Rep 2021;70:1401–1407. DOI: http://dx.doi.org/10.15585/mmwr.mm7040a2external icon.
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