Arthritis is associated with joint pain, disability, and physical inactivity, potentially resulting in poor quality of life. The Centers for Disease Control and Prevention analyzed 2019 Behavioral Risk Factor Surveillance System data to estimate state-specific arthritis prevalence and, among adults with arthritis, the prevalence of physical inactivity, fair/poor self-rated health status, and severe joint pain. Among adults with arthritis, age-standardized prevalences of physical inactivity, fair/poor health status, and severe joint pain were high in all states and highest in southeastern states. Increased promotion and use of evidence-based public health interventions for arthritis may improve health-promoting behaviors and health outcomes among adults with arthritis.

Pain has been established as a major public health problem in the United States (U.S.) with 50 million adults experiencing chronic pain and 20 million afflicted with high-impact chronic pain (i.e., chronic pain that interferes with life or work activities). High financial and social costs are associated with chronic pain. Over the past two decades, pain management has been complicated by the marked increase in opioids prescribed to treat chronic non-cancer pain and by the concurrent opioid crisis. Monitoring the prevalence of chronic pain and pain management is especially important because pain management is changing in uncertain ways. We review potential U.S. chronic pain surveillance systems, present potential difficulties of chronic pain surveillance, and explore how to address chronic pain surveillance in the current opioid era. We consider case definitions, severity, anatomic site, and varieties of chronic pain management strategies in reviewing and evaluating national surveys for chronic pain surveillance. Based on the criteria evaluated, the National Health Interview Survey offers the best single source for pain surveillance as the pain-related questions administered are brief, valid, and cover a broad scope of pain-related phenomenon. Perspective: This review article describes data sources that can be leveraged to conduct national chronic pain surveillance in the United States, explores case defining or pain-related questions administered, and evaluates them against eight surveillance attributes.

Objective: To describe the point prevalence of hip symptoms, radiographic hip osteoarthritis (rHOA), severe rHOA, and symptomatic rHOA (sxHOA) at five time points in the longitudinal, population-based Johnston County Osteoarthritis Project (JoCoOA). Design(s): Data were from 3068 JoCoOA participants who attended up to five study visits (1991-2018). Standardized supine pelvis radiographs were read by a single, expert musculoskeletal radiologist with high reliability. The four outcomes were: 1) self-reported hip symptoms: "On most days, do you have pain, aching, or stiffness in your right/left hip?"; 2) rHOA: Kellgren-Lawrence grade (KLG) of 2-4; 3) severe rHOA: KLG of 3-4; and 4) sxHOA: both symptoms and rHOA in the same joint. Weighted point prevalence and 95% confidence intervals (CI) were generated overall and by age group (45-54, 55-64, 65-74, 75+ years), sex, race (Black/White), and body mass index (BMI; 18.5-24.9; 25-29.9; 30+ kg/m2). Result(s): At the most recent follow-up (2017-2018), the point prevalence (%) of hip symptoms, rHOA, severe rHOA, and sxHOA were 30% (95% CI 25%, 35%), 53% (95% CI 48%, 58%), 9% (95% CI 6%, 12%), and 15% (95% CI 11%, 19%), respectively. RHOA and severe rHOA were most prevalent in those 75+ years. Women were more likely than men to have hip symptoms and sxHOA. No consistent trends were noted by race or BMI. Conclusion(s): These updated point prevalence estimates demonstrate a large and increasing burden of HOA in the general population, particularly with aging. Black and White individuals were affected similarly in this cohort. Copyright © 2022 The Authors

Arthritis is a highly prevalent and disabling condition among U.S. adults (1); arthritis-attributable functional limitations and severe joint pain affect many aspects of health and quality of life (2). Self-management education (self-management) and physical activity can reduce pain and improve the health status and quality of life of adults with arthritis; however, in 2014, only 11.4% and 61.0% of arthritis patients reported engaging in each, respectively. To assess self-reported self-management class attendance and health care provider physical activity counseling among adults with doctor-diagnosed arthritis, CDC analyzed 2019 Behavioral Risk Factor Surveillance System (BRFSS) data. In 2019, an age-standardized state median of one in six (16.2%) adults with arthritis reported ever attending a self-management class, and 69.3% reported ever receiving health care provider counselling to be physically active. Prevalences of both differed by state and sociodemographic characteristics; decreased with lower educational attainment, joint pain severity, and urbanicity; and were lower in men than in women. Health care providers can play an important role in promoting self-management class attendance and physical activity by counseling arthritis patients about their benefits and referring patients to evidence-based programs (3).

Primary care providers (PCPs) can offer counseling to adults with arthritis on physical activity, which can reduce pain and improve physical function, mental health, and numerous other health outcomes. We analyzed cross-sectional 2018 DocStyles data for 1,366 PCPs who reported they always or sometimes recommend physical activity to adults with arthritis. Most PCPs sampled (88.2%) recommended walking, swimming, or cycling; 65.5% did not recommend any evidence-based, arthritis-appropriate physical activity programs recognized by the Centers for Disease Control and Prevention. Opportunities exist for public health awareness campaigns to educate PCPs about evidence-based physical activity programs proven to optimize health for adults with arthritis when more than counseling is needed.

The numerous health benefits of physical activity include reduced risk for chronic disease and improved mental health and quality of life (1). Physical activity can improve physical function and reduce pain and fall risk among adults with arthritis, a group of approximately 100 conditions affecting joints and surrounding tissues (most commonly osteoarthritis, fibromyalgia, gout, rheumatoid arthritis, and lupus) (1). Despite these benefits, the 54.6 million U.S. adults currently living with arthritis are generally less active than adults without arthritis, and only 36.2% of adults with arthritis are aerobically active (i.e., meet aerobic physical activity guidelines*) (2). Little is known about which physical activities adults with arthritis engage in. CDC analyzed 2019 Behavioral Risk Factor Surveillance System (BRFSS) data to examine the most common nonwork-related physical activities among adults with arthritis who reported any physical activity during the past month, nationally and by state. In 2019, 67.2% of adults with arthritis reported engaging in physical activity in the past month; among these persons, the most commonly reported activities were walking (70.8%), gardening (13.3%), and weightlifting (7.3%). In 45 U.S. states, at least two thirds of adults with arthritis who engaged in physical activity reported walking. Health care providers can help inactive adults with arthritis become active and, by encouraging physical activity and referring these persons to evidence-based physical activity programs, improve their health and quality of life.

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.

OBJECTIVE: To describe point prevalence of knee symptoms, radiographic knee osteoarthritis (rKOA), severe rKOA, and symptomatic rKOA at four time points in the longitudinal, population-based Johnston County Osteoarthritis Project (JoCo OA). METHODS: Data were from 2573 JoCo OA participants with up to 18 years of follow-up (1999-2018) and standardized fixed-flexion knee radiographs read by a single, reliable expert musculoskeletal radiologist. The four outcomes were 1) self-reported knee symptoms, defined by "On most days, do you have pain, aching, or stiffness in your right/left knee?"; 2) rKOA, defined as a Kellgren-Lawrence grade (KLG) of 2 to 4); 3) severe rKOA, defined as a KLG of 3 or 4; and 4) symptomatic rKOA, defined as both symptoms and rKOA in the same joint. Weighted prevalence estimates and 95% confidence intervals (CIs) were generated overall and by age group, sex, race, and body mass index (BMI). RESULTS: Most recently (2017-2018, T4), the overall prevalence (percentage) of knee symptoms, rKOA, severe rKOA, and symptomatic rKOA was 41% (95% CI: 35-47%), 61% (95% CI: 56-67%), 35% (95% CI: 30-40%), and 30% (95% CI: 24-35%), respectively. From time point T1 to T4, prevalence increased for rKOA, severe rKOA, and symptomatic rKOA but not for knee symptoms. The prevalence of both severe rKOA (17-39%) and symptomatic rKOA (23-30%) was consistently higher among women. The prevalence of all outcomes was higher among those with higher BMI and among Black participants at all time points, particularly rKOA (35-69%) and severe rKOA (22-46%). CONCLUSION: These updated estimates demonstrate a large and increasing burden of knee OA, particularly among women and Black individuals.

OBJECTIVE: To evaluate quantitative joint space width (qJSW, at 10-, 30-, and 50-degree locations) in relation to incident radiographic and symptomatic hip osteoarthritis (rHOA and sxHOA, respectively) in a community-based cohort. METHODS: Data were from Johnston County OA Project (JoCoOA) participants with supine hip radiographs at each of 4 timepoints; all had Kellgren-Lawrence grades (KLG) and qJSW. We assessed covariates (age, race, height, weight, body mass index [BMI]) associated with qJSW, and hip-level associations between qJSW and HOA, over time using sex-stratified and multivariable-adjusted linear mixed models. A cluster analysis with logistic regression estimated associations between qJSW trajectory groups and incident rHOA and sxHOA. RESULTS: At baseline, 397 participants (784 hips, 41% men, 24% Black, mean age=57 years) had a mean BMI=29 kilograms/meter(2) . Over a mean of 18 years, 20% and 12% developed incident KLG-defined rHOA or sxHOA, respectively. QJSW was more sensitive to changes over time at 50 degrees. Values were stable among men but declined over time in women. Heavier women lost more qJSW; changes in qJSW were not significantly associated with race, education, or injury in women or men. In women only, loss of qJSW over time was associated with 2-3 times higher odds of rHOA and sxHOA; among women and men, narrower baseline qJSW was associated with these outcomes. CONCLUSION: Hip qJSW demonstrates marked sex differences, with significant loss over time only in women. Loss of qJSW over time in women, and narrower baseline qJSW in men and women, was associated with incident rHOA and sxHOA.

Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease with manifestations that vary widely in severity. Although minority populations are at higher risk for SLE and have more severe outcomes (1), population-based estimates of mortality by race and ethnicity are often lacking, particularly for Asian and Hispanic/Latino persons. Among 812 patients in the California Lupus Surveillance Project (CLSP) during 2007-2009 (2,3), who were matched to the 2007-2017 National Death Index (NDI), 16.6% had died by 2017. This proportion included persons of White (14.4%), Black (25%), Asian (15.3%), and Hispanic/Latino (15.5%) race/ethnicity. Standardized mortality ratios (SMRs) of observed-to-expected deaths among persons with SLE within each racial/ethnic group were 2.3, 2.0, 3.8, and 3.9, respectively. These findings provide the first population-based estimates of mortality among Asian and Hispanic/Latino persons with SLE. Coordination of robust care models between primary care providers and rheumatologists could ensure that persons with SLE receive a timely diagnosis and appropriate treatments that might help address SLE-associated mortality.

OBJECTIVE: Knowledge about systemic lupus erythematosus (SLE) outcomes among US Asians is lacking. We examined SLE disease activity, severity, and damage among Asians of primarily Chinese and Filipino descent in a multiethnic cohort. METHODS: California Lupus Epidemiology Study (CLUES, n=328) data were analyzed. Data were collected in English, Cantonese, Mandarin or Spanish, using validated instruments for disease activity (Systemic Lupus Erythematosus Disease Activity Index), disease severity (Lupus Severity Index [LSI]) and disease damage (Systemic Lupus International Collaborating Clinics Damage Index). We assessed differences in SLE outcomes among racial/ethnic groups using multivariable linear regression including interaction terms for age at diagnosis and race/ethnicity. RESULTS: Asians were the largest racial/ethnic group (38%; [Chinese=22%; Filipino=9%; Other=7%]). Average age at diagnosis (years) was younger among Asians (27.9), particularly Filipinos (22.2), compared with Whites (29.4) and Blacks (34.0). After adjustment, disease activity and damage were not significantly different across groups. Disease severity among Asians was significantly higher than Whites (LSI 7.1 vs 6.5; p<0.05) but similar to Blacks and Hispanics. Early age at diagnosis was associated with greater organ damage among Asians, Blacks, and Hispanics, but not Whites. CONCLUSIONS: SLE was more severe among US Asians compared to Whites. Filipinos were affected at strikingly young ages. Asians and non-White groups with younger age at diagnosis had greater organ damage than Whites. Such racial/ethnic distinctions suggest the need for heightened clinical awareness to improve health outcomes among Asians with SLE. Further study of SLE outcomes across a range of US Asian subgroups is important.

PURPOSE: To examine primary care providers' (PCPs) physical activity assessment and recommendation behaviors for adults with arthritis. DESIGN: Cross-sectional. SETTING: 2018 DocStyles online national market research survey of US physicians and nurse practitioners. SAMPLE: 1,389 PCPs seeing adults with arthritis. MEASURES: 2 independent behaviors (assessment and recommendation) as 3 non-mutually exclusive groups: "always assesses," "always recommends," and "both" ("always assesses and recommends"). ANALYSIS: Calculated percentages of each group (overall and by PCP characteristics), and multivariable-adjusted prevalence ratios (PRs) using binary logistic regression. RESULTS: Among PCPs, 49.2% always assessed and 57.7% always recommended physical activity; 39.7% did both. Across all 3 groups, percentages were highest for seeing ≥20 adults with arthritis weekly ("both": 56.4%; "always assesses": 66.7%; "always recommends": 71.3%) and lowest among obstetrician/gynecologists ("both": 26.9%; "always assesses": 36.8%; "always recommends": 40.7%). Multivariable-adjusted associations were strongest for seeing ≥20 adults with arthritis weekly (referent: 1-9 adults) and each of "always assesses" (PR = 1.5 [95% confidence interval (CI): 1.3-1.8] and "both" (PR = 1.6 [95% CI: 1.4-1.9]). CONCLUSIONS: Approximately 40% of PCPs sampled always engaged in both behaviors (assessing and recommending physical activity) with adults with arthritis; seeing a high volume of adults with arthritis was consistently related to engaging in each behavior. Evidence-based approaches to support PCP counseling include offering provider education and training, raising awareness of available resources, and using health system supports.

INTRODUCTION: Limited estimates of prescribed opioid use among adults with arthritis exist. All-cause (i.e., for any condition) prescribed opioid dispensed (referred to as opioid prescription in the remainder of this abstract) in the past 12 months among U.S. adults aged ≥18 years (n=35,427) were studied, focusing on adults with arthritis (n=12,875). METHODS: In 2018-2019, estimates were generated using Medical Expenditure Panel Survey data: (1) 2015 prevalence of 1 or more opioid prescriptions to U.S. adults overall and by arthritis status and (2) in 2014-2015, among adults with arthritis, multivariable-adjusted associations between 1 or more opioid prescriptions and sociodemographic characteristics, health status, and healthcare utilization characteristics. RESULTS: In 2015, the age-standardized prevalence of 1 or more opioid prescriptions among adults with arthritis (29.6%) was almost double of that for all adults (15.4%). Adults with arthritis represented more than half of all adults (55.3%) with at least 1 opioid prescription; among those with 1 or more prescriptions, 43.2% adults had 4 or more prescriptions. The strongest multivariable-adjusted associations with 1 or more opioid prescriptions were ambulatory care visits (1-4: prevalence ratios=1.9-2.0, 5-8: prevalence ratios=2.5-2.7, 9 or more: prevalence ratios=3.4-3.7) and emergency room visits (1: prevalence ratios=1.6, 2-3: prevalence ratios=1.9-2.0, 4 or more: prevalence ratios=2.4); Ref for both: no visits. CONCLUSIONS: Adults with arthritis are a high-need target group for improving pain management, representing more than half of all U.S. adults with 1 or more opioid prescriptions. The association with ambulatory care visits suggests that providers have routine opportunities to discuss comprehensive and integrative pain management strategies, including low-cost evidence-based self-management approaches (e.g., physical activity, self-management education programs, cognitive behavioral therapy). Those with multiple opioid prescriptions may need extra support if transitioning to nonopioid and nonpharmacologic pain management strategies.

OBJECTIVE: Health-related quality of life (HRQoL) is reduced in SLE, partly driven by comorbid depression. The association between major depression among those with SLE and HRQoL measured using the National Institutes of Health's Patient-Reported Outcomes Measurement Information System (PROMIS) is not well characterized. METHODS: Cross-sectional data were obtained from the California Lupus Epidemiology Study (CLUES), a cohort of adults in the San Francisco Bay Area with SLE. We studied the association between major depression (score ≥ 10 on Patient Health Questionnaire [PHQ-8] depression scale) and T-scores (scaled to population mean of 50, SD of 10) on 12 PROMIS domains representing physical, mental, and social health. Mean T-scores in depressed and non-depressed individuals were compared using multiple linear regression models, adjusting for age, sex, race/ethnicity, disease activity, damage, body mass index (BMI), and household income. RESULTS: Mean age of the 326 participants was 45 years; approximately 89% were women, 29% white, 23% Hispanic, 10% black, and 36% Asian. One-quarter met criteria for major depression. In multivariable analyses, major depression was independently associated with worse T-scores on all 12 PROMIS domains (p<0.001); compared with those without major depression, depressed individuals scored more than 10 points (1 SD) worse on Fatigue, Sleep Impairment, Negative Psychosocial Impact of Illness, Satisfaction in Discretionary Social Activities, and Satisfaction in Social Roles. CONCLUSION: In individuals with SLE, major depression is associated with markedly worse PROMIS scores in physical, mental, and social domains. Diagnosing and treating depression may help improve HRQoL in individuals with SLE.

OBJECTIVE: Health disparities in patient-reported outcomes (PROs) by income and education are well documented; the impact of health literacy on PROs has received less attention. We examined independent effects of income, education, and health literacy on PROs in SLE. METHODS: Data from the California Lupus Epidemiology Study (CLUES, n=323) were used. Health literacy was assessed with a validated 3-item measure (ability to understand written information, reliance on others to understand written information, confidence in completing written forms). PROs were administered by interview in English, Spanish, Cantonese, or Mandarin. Generic and disease-specific PROs were examined: ten PROMIS short forms, the eight SF-36 subscales, and three patient-reported SLE disease activity and damage measures. We conducted two sets of multivariable analyses: the first examined education, income, or health literacy individually; the second included all three simultaneously. All multivariable models included age, sex, race/ethnicity, language, disease duration, and physician-assessed disease activity and damage. RESULTS: Over one-third (38%) had limited health literacy (LHL), including >25% with greater than high school education. In multivariable analyses simultaneously considering education, income, and health literacy, LHL was associated with significantly worse scores on all PROs except disease damage. In contrast, disparities by income were seen in only three PROMIS scales, three SF-36 subscales, and one disease activity measure. No disparities by education level were noted. CONCLUSIONS: We found significantly worse PRO scores among individuals with LHL, even after controlling for disease activity and damage. Whether disparities are due to actual differences in health or measurement issues requires further study.

OBJECTIVES: To examine the relationship between depressive symptoms, arthritis, and employment participation. To determine if this relationship differs across young, middle, and older working-age adults with arthritis. METHODS: Data from the US National Health Interview Survey, years 2013-2017, were analyzed. Analyses were restricted to those with doctor-diagnosed arthritis of working age (18-64 years) with complete data on depressive symptoms (n=11,380). Covariates were sociodemographic, health, and health system use variables. Employment prevalence was compared by self-reported depressive symptoms. We estimated percentages, univariable, and multivariable logistic regression models to examine the relationship between depression and employment among young (18-34 years), middle (35-54 years), and older adults (55-64 years). RESULTS: Among all working-age US adults with arthritis, prevalence of depressive symptoms was 13%. Those reporting depressive symptoms had higher prevalence of fair/poor health (60%) and arthritis-attributable activity limitations (70%) compared with those not reporting depression (23% and 39%, respectively). Respondents with depressive symptoms reported significantly lower employment prevalence (30%) when compared with those not reporting depressive symptoms (66%) and lower multivariable-adjusted association with employment (PR=0.88, 95% CI [confidence interval] 0.83-0.93). Middle-age adults reporting depression were significantly less likely to be employed compared with their counterparts without depression (PR=0.83, 95% CI 0.77-0.90); similar but borderline statistically significant relationships were observed for both younger (PR=0.86, 95% CI 0.74-0.99) and older adults (PR=0.94. 95% CI 0.86-1.03). CONCLUSION: For adults with arthritis, depressive symptoms are associated with not participating in employment. Strategies to reduce arthritis-related work disability may be more effective if they simultaneously address mental health.

OBJECTIVE: The purpose of this study is to examine the course of hand osteoarthritis (HOA) and its relationship with cardiovascular disease (CVD) and diabetes (DM). METHODS: Data were collected at 3 time points from 845 Johnston County Osteoarthritis Project participants (2/3 women, 1/3 African-Americans, mean age 60 years) with and without HOA, CVD, or DM. A diagnosis of radiographic hand osteoarthritis (rHOA) required a Kellgren-Lawrence severity grade of >/=2 in at least 3 joints in each hand. A four-state progressive model included transitions based on rHOA and pain or function as defined using the AUStralian CANadian Osteoarthritis Hand Index (AUSCAN). Markov multi-state models estimated hazard ratios and 95% confidence intervals (aHR [95%]) for associations between DM or CVD and specific state transitions, adjusting for baseline and time-varying covariates. RESULTS: Participants with DM (vs those without DM) were more likely to experience worsening pain with rHOA. Individuals who had or developed CVD (vs those who did not) were significantly less likely to experience symptomatic improvement, regardless of rHOA status. Those with DM or CVD (vs those without these comorbidities) were less likely to experience improvement in function, although this was statistically significant only for those with DM and no rHOA. CONCLUSION: Overall, having or developing DM and/or CVD reduced the likelihood of symptomatic and functional improvement over time, suggesting an impact of comorbid CVD and DM on the clinical and radiographic course of HOA. Additional studies are needed to confirm these findings.

BACKGROUND: We examined the association of three common chronic conditions (obesity, diabetes mellitus [DM], and cardiovascular disease [CVD]) with transitions among states of hip osteoarthritis (HOA). METHODS: This longitudinal analysis used data from the Johnston County Osteoarthritis Project (JoCo OA, n = 3857), a community-based study in North Carolina, USA, with 18.4 +/- 1.5 years of follow-up. Transitions across the following states were modeled: development of radiographic HOA (rHOA; Kellgren-Lawrence grade [KLG] of< 2); development of hip symptoms (self-reported hip pain, aching, or stiffness on most days) or symptomatic HOA (sxHOA; rHOA and symptoms in the same hip), and resolution of symptoms. Obesity (body mass index >/= 30 kg/m(2)) and self-reported DM and CVD were the time-dependent comorbid conditions of interest. Markov multi-state models were used to estimate adjusted hazard ratios and 95% confidence intervals to describe the associations between the conditions and HOA states. RESULTS: The sample included 33% African Americans, 39% men, with a mean (SD) age of 62.2 (9.8) years; the frequencies of the comorbidities increased substantially over time. When considered individually, obesity was associated with incident hip symptoms, while CVD and DM were associated with reduced symptom resolution. For those with > 1 comorbidity, the likelihood of incident sxHOA increased, while that of symptom resolution significantly decreased. When stratified by sex, the association between obesity and incident symptoms was only seen in women; among men with DM versus men without, there was a significant (~ 75%) reduction in symptom resolution in those with rHOA. When stratified by race, African Americans with DM, versus those without, were much more likely to develop sxHOA. CONCLUSIONS: Comorbid chronic conditions are common in individuals with OA, and these conditions have a significant impact on the persistence and progression of HOA. OA management decisions, both pharmacologic and non-pharmacologic, should include considerations of the inter-relationships between OA and common comorbidities such as DM and CVD.

OBJECTIVE: We examined psychometric performance of Patient-Reported Outcomes Measurement Information System (PROMIS) measures in a racially/ethnically and linguistically diverse cohort with systemic lupus erythematosus (SLE). METHODS: Data were from the California Lupus Epidemiology Study, a multiracial/multiethnic cohort of individuals with physician-confirmed SLE. The majority (n = 332) attended in-person research visits that included interviews conducted in English, Spanish, Cantonese, or Mandarin. Up to 12 PROMIS short forms were administered (depending on language availability). An additional 99 individuals completed the interview by phone only. Internal consistency was examined with Cronbach's alpha and item-total correlations. Correlations with the Short Form 36 subscales and both self-reported and physician-assessed disease activity assessed convergent validity. All analyses were repeated within each racial/ethnic group. Differences in scores by race/ethnicity were examined in bivariate analyses and by multiple regression analyses controlling for age, sex, disease duration, and disease damage and activity. RESULTS: The total sample was 30.0% white, 22.3% Hispanic, 10.9% African American, 33.7% Asian, and 3.0% other race/ethnicity. Seventy-seven percent of interviews were conducted in-person. Non-English interviews were conducted in 26.0% of the Hispanic subjects and 18.6% of the Asian subjects. Each scale demonstrated adequate reliability and validity overall and within racial/ethnic groups. Minimal floor effects were observed, but ceiling effects were noted. Missing item responses were minimal for most scales, except for items related to work. No differences were noted by mode of administration or by language of administration among Hispanics and Asians. After accounting for differences in disease status, age, and sex, few differences in mean scores between whites and other racial/ethnic groups were noted. CONCLUSION: PROMIS measures appear reliable and valid in persons with lupus across racial/ethnic groups.

What is already known about this topic? Persons with arthritis have unique challenges because the interplay between anxiety, depression, and chronic pain is cyclical, with each having the potential to exacerbate the others. What is added by this report? In 2017, frequent mental distress and history of depression were commonly reported by adults with arthritis in all states, with clustering of high prevalence of frequent mental distress in Appalachian and southern states. What are the implications for public health practice? All adults with arthritis might benefit from systematic mental health screening by their health care team (if needed, referral to mental health services) and participation in evidence-based interventions such as physical activity and self-management education programs whose proven benefits include reduced pain and improved mental health. © 2020 Department of Health and Human Services. All rights reserved.

OBJECTIVE: Self-management education programs are recommended for many chronic conditions. We studied which adults with arthritis received a health care provider's recommendation to take a self-management education class and who attended. METHODS: We analyzed data from a 2005--2006 national telephone survey of US adults with arthritis >/=45 years (n = 1793). We used multivariable-adjusted prevalence ratios (PR) from logistic regression models to estimate associations with: (1) receiving a health care provider recommendation to take a self-management education class; and (2) attending a self-management education class. RESULTS: Among all adults with arthritis: 9.9% received a health care provider recommendation to take an self-management education class; 9.7% attended a self-management education class. Of those receiving a recommendation, 52.0% attended a self-management education class. The strongest association with self-management education class attendance was an health care provider recommendation to take one (PR = 8.9; 95% CI = 6.6-12.1). CONCLUSIONS: For adults with arthritis, a health care provider recommendation to take a self-management education class was strongly associated with self-management education class attendance. Approximately 50% of adults with arthritis have >/=1 other chronic conditions; by recommending self-management education program attendance, health care providers may activate patients' self-management behaviors. If generalizable to other chronic conditions, this health care provider recommendation could be a key influencer in improving outcomes for a range of chronic conditions and patients' quality of life.

Objective: Arthritis patients experience the impact of disease beyond routinely assessed clinical measures. We characterized arthritis-attributable interference in four important routine life domains: 1) recreation/leisure/hobbies; 2) household chores; 3) errands/shopping; and 4) social activities. Method(s): Participants were from the Arthritis Conditions Health Effects Survey (2005-2006), a cross-sectional survey of noninstitutionalized US adults 45 years or older with doctor-diagnosed arthritis (n = 1793). We estimated the prevalence of "a lot" of arthritis-attributable interference and quantified the associations between sociodemographic, clinical, and psychological characteristics and "a lot" of arthritis-attributable interference (vs "a little" or "none") in each domain using prevalence ratios (PRs) in multivariable (MV)-adjusted logistic regression models. Result(s): An estimated 1 in 5 to 1 in 4 adults with arthritis reported "a lot" of arthritis-attributable interference in recreation/leisure/hobbies (27%), household chores (25%), errands/shopping (22%), and social activities (18%). The highest prevalence of "a lot" of arthritis-attributable interference was for those unable to work/disabled or reporting severe arthritis symptoms (pain, stiffness, fatigue), anxiety, depression, or no/low confidence in ability to manage arthritis, across domains. In MV-adjusted models, those unable to work/disabled, currently seeing a doctor, or reporting fair/poor self-rated health, severe joint pain, anxiety, or no/low confidence in ability to manage arthritis were more likely to report arthritis-attributable interference than their respective counterparts. Magnitudes varied by domain but were consistently strongest for those unable to work/disabled (MV PR range = 1.8-2.5) and with fair/poor health (MV PR range = 1.7-2.7). Conclusion(s): Many characteristics associated with arthritis-attributable interference in routine life activities are potentially modifiable, suggesting unmet need for use of existing evidence-based interventions that address these characteristics and reduce interferences to improve quality of life.

Objective: We examined walking limitations and associated characteristics among middle-aged and older US adults with arthritis, overall, and by sex. Method(s): Using 2005-2006 Arthritis Conditions and Health Effects Survey (ACHES) data (n = 1793), we estimated "a lot" and "any" ("a lot" or "a little" combined) walking limitation for more than 1 mile (1.6 km) among US adults 45 years or older with arthritis and examined associations (sociodemographics, arthritis symptoms and effects, psychosocial measures, and physical health) with walking limitations in unadjusted and multivariable (MV) adjusted logistic regression models using prevalence ratios (PRs) and 95% confidence intervals, accounting for the complex survey design. Result(s): Respondents frequently reported "a lot" (48%) and "any" (72%) limitation for more than 1 mile. Women reported higher prevalence of all levels of walking limitation versus men (eg, 51% vs 42% for "a lot" overall); additionally, the gap for walking limitations between women and men widened with age. Limitation was high for both sexes at all ages, affecting 1-in-3 to 4-in-5, depending on level of walking limitation. The strongest MV associations for "a lot" of walking limitation among all respondents included substantial and modest arthritis-attributable life interference (PR = 2.5 and 1.6, respectively), age 75 years or older (PR = 1.5), and physical inactivity and fair/poor self-rated health (PR = 1.4 for both). Conclusion(s): Walking limitations among middle-aged and older adults are substantial. Existing proven interventions that improve walking ability and physical function may help this population to reduce and delay disability.

INTRODUCTION: More than 54 million US adults have arthritis, and more than 15 million US adults have chronic obstructive pulmonary disease (COPD). Arthritis and COPD share many risk factors, such as tobacco use, asthma history, and age. The objective of this study was to assess the relationship between self-reported physician-diagnosed COPD and arthritis in the US adult population. METHODS: We analyzed data from 408,774 respondents aged 18 or older in the 2016 Behavioral Risk Factor Surveillance System to assess the association between self-reported physician-diagnosed COPD and arthritis in the US adult population by using multivariable logistic regression analyses. RESULTS: Overall crude prevalence was 6.4% for COPD and 25.2% for arthritis. The prevalence of age-adjusted COPD was higher among respondents with arthritis than among respondents without arthritis (13.7% vs 3.8%, P < .001). The association remained significant among most subgroups (P < .001) particularly among adults aged 18 to 44 (11.5% vs 2.0%) and never smokers (7.6% vs 1.7%). In multivariable logistic regression analyses, arthritis status was significantly associated with COPD status after controlling for sociodemographic characteristics, risk behaviors, and health-related quality of life measures (adjusted prevalence ratio = 1.5, 95% confidence interval, 1.4-1.5, P < .001). CONCLUSION: Our results confirmed that arthritis is associated with a higher prevalence of COPD in the US adult population. Health care providers may assess COPD and arthritis symptoms for earlier detection of each condition and recommend that patients with COPD and/or arthritis participate in pulmonary rehabilitation and self-management education programs such as the Chronic Disease Self-Management Program, the proven benefits of which include increased aerobic activity and reduced shortness of breath, pain, and depression.

OBJECTIVE: The California Lupus Surveillance Project (CLSP) is a population-based registry of individuals with SLE residing in San Francisco County, California from 2007-2009, with a special focus on Asians/Pacific Islanders (API) and Hispanics. We used retrospective CLSP data to analyze racial/ethnic differences in lupus manifestations and in the timing and risk of developing severe manifestations. METHODS: 724 patients with SLE were retrospectively identified. Prevalence ratios (PR) of SLE manifestations were calculated using Poisson regression models stratified by race/ethnicity and adjusted for sex, age at SLE diagnosis, and disease duration. We studied onset of severe SLE manifestations after SLE diagnosis using Kaplan-Meier methods to examine time-to-event and Cox proportional hazards regressions to estimate hazard ratios (HR). Whites were the referent group in all analyses. RESULTS: Blacks, APIs, and Hispanics had increased prevalence of renal manifestations [PR 1.74 (95%CI: 1.40-2.16), PR 1.68 (95%CI: 1.38-2.05), PR 1.35 (95%CI: 1.05-1.74)], respectively. Furthermore, Blacks had increased prevalence of neurologic manifestations [PR 1.49 (95%CI: 1.12-1.98)] and both Blacks [PR 1.09 (95%CI: 1.04-1.15)] and APIs [PR 1.07 (95%CI: 1.01-1.13)] had increased prevalence of hematologic manifestations. Blacks, APIs, and Hispanics, respectively, had higher risk of developing lupus nephritis [HR 2.4 (95%CI: 1.6-3.8), HR 4.3 (95%CI: 2.9-6.4), HR 2.3 (95%CI: 1.4-3.8)] and thrombocytopenia [HR 2.3 (95%CI: 1.1-4.4), HR 2.3 (95%CI: 1.3-4.2), HR 2.2 (95%CI: 1.1-4.7)]. APIs and Hispanics had higher risk of developing antiphospholipid syndrome [HR 2.5 (95%CI: 1.4-4.4), HR 2.6 (95%CI: 1.3-5.1), respectively]. CONCLUSIONS: This is the first epidemiologic study comparing lupus manifestations among four major racial/ethnic groups. We found 1) substantial differences in the prevalence of several clinical SLE manifestations among racial/ethnic groups, and 2) that Blacks, APIs, and Hispanics are at increased risk of developing several severe manifestations following SLE diagnosis. This article is protected by copyright. All rights reserved.

OBJECTIVE: We examined quality measures for screening, diagnosis and treatment of lupus nephritis (LN) among participants of the California Lupus Epidemiology Study (CLUES) across 25 different clinical sites to identify gaps in quality of care. METHODS: Data from 250 lupus participants was analyzed across three sources (medical records, physician examination, and patient interviews). Overall performance on eight quality measures was calculated separately for participants with and without LN. We used generalized estimating equations in which the outcome was performance on measures, adjusting for participant demographics, lupus disease severity and practice characteristics. RESULTS: Of 148 patients without LN, 42% had screening labs for nephritis, 38% had lupus activity serologies and 81% had blood pressure checked every 6 months. Of 102 LN patients, 67% had a timely kidney biopsy, at least 81% had appropriate treatment and 78% achieved target blood pressure within 1 year of diagnosis. Overall performance in participants across quality measures was 54% (no LN) and 80% (LN). Significantly higher overall performance for screening measures for LN was seen at academic (63.4-73%) versus community clinics (37.9-38.4%). Similarly, among those with LN, higher performance in academic (84.1-85.2%) versus community clinics (54.8-60.2%) was observed for treatment measures. CONCLUSION: In this quality of care analysis across 25 diverse clinical settings, we found relatively high performance on measures for management of LN. However, future work should focus on bridging the gaps in lupus quality of care for patients without nephritis, particularly in community settings. This article is protected by copyright. All rights reserved.

PURPOSE: Adverse childhood experiences (ACEs) are associated with poor adult health and immune dysregulation. The impact of ACEs on patients with autoimmune disease is unknown. We compared the prevalence of ACEs in Systemic Lupus Erythematosus (SLE) patients to population-based survey estimate and investigated relationships between ACEs and SLE outcomes. METHODS: Data derive from the California Lupus Epidemiology Study (CLUES), a sample of adult SLE patients. Participants completed a 10-item ACE questionnaire covering 3 domains (abuse, neglect, household challenges). We estimated ACEs prevalence in 269 CLUES participants compared to 2015 California Behavioral Risk Factor Surveillance System (BRFSS) geographically matched respondents, standardized (age, sex, race/ethnicity) to CLUES participant characteristics. We examined associations for patient-reported and physician-assessed health status measures with overall ACE levels and domains using multivariable linear regression, controlling for socio-demographics, nephritis, and childhood onset SLE. RESULTS: Though specific domains varied, overall ACE levels were similar for CLUES and BRFSS respondents. Among SLE patients, 63.2% had >/=1 ACE and 19.3% had >/=4. ACEs were more prevalent in those who were older, women, Latino or African American, without college degrees, and with lupus nephritis. In adjusted models, higher ACE levels and ACE domains were associated with worse patient-reported SLE activity, depression, and health status, but were not significantly associated with physician-assessed SLE activity, damage, or severity. CONCLUSIONS: Given the association between ACE levels and important patient-reported outcomes in SLE, our study reinforces the need for prevention of ACEs in childhood and for clinical interventions to promote resilience among adults who have experienced ACEs. This article is protected by copyright. All rights reserved.

An estimated 54.4 million (approximately one in four) U.S. adults have doctor-diagnosed arthritis (arthritis) (1). Severe joint pain and physical inactivity are common among adults with arthritis and are linked to adverse mental and physical health effects and limitations (2,3). CDC analyzed 2017 Behavioral Risk Factor Surveillance System (BRFSS) data to estimate current state-specific prevalence of arthritis and, among adults with arthritis, the prevalences of severe joint pain and physical inactivity. In 2017, the median age-standardized state prevalence of arthritis among adults aged >/=18 years was 22.8% (range = 15.7% [District of Columbia] to 34.6% [West Virginia]) and was generally highest in Appalachia and Lower Mississippi Valley regions.* Among adults with arthritis, age-standardized, state-specific prevalences of both severe joint pain (median = 30.3%; range = 20.8% [Colorado] to 45.2% [Mississippi]) and physical inactivity (median = 33.7%; range = 23.2% [Colorado] to 44.4% [Kentucky]) were highest in southeastern states. Physical inactivity prevalence among those with severe joint pain (47.0%) was higher than that among those with moderate (31.8%) or no/mild joint pain (22.6%). Self-management strategies such as maintaining a healthy weight or being physically active can reduce arthritis pain and prevent or delay arthritis-related disability. Evidence-based physical activity and self-management education programs are available that can improve quality of life among adults with arthritis.

Recent studies of middle age and older adults with, or at risk for, arthritis demonstrate that engaging in physical activities like walking - even at levels below the current aerobic physical activity guideline of >/=150min of moderate-intensity activity - can protect against onset of functional limitations. Using a large nationally representative sample of US adults >/=18years with arthritis, we investigated whether, among those not meeting the aerobic activity guideline, walking >/=10min/week vs. <10min/week reduced the risk of six outcomes (fair/poor health and five physical limitations) over 2years. We conducted a prospective cohort study among adults with arthritis in the 2010 National Health Interview Survey who participated in the 2011-2012 Medical Expenditure Panel Survey (n=1426). Among adults not meeting the guideline, we examined the effect of walking on risk of developing each of six outcomes using hazard ratios (HRs) estimated from multivariable Cox regression models. Among adults with arthritis not meeting the guideline, compared to walking <10min/week, walking >/=10min/week was associated with a statistically significant decreased risk for all five limitations: walking three blocks (HR: 0.3 [95% CI=0.2-0.6]), climbing 10 stairs (HR: 0.5 [95% CI=0.3-0.8]), stooping/kneeling (HR: 0.4 [95% CI=0.2-0.8]), reaching overhead (HR: 0.5[95% CI=0.5-0.8]), and grasping (HR: 0.4 [95% CI=0.2-0.7]). The decrease in risk was not significant for fair/poor health. Even limited walking may prevent the onset of physical limitations among adults with arthritis of all ages not meeting the aerobic activity guideline.

An estimated 54.4 million U.S. adults have doctor-diagnosed arthritis (arthritis), and this number is projected to rise to 78.4 million by 2040 (1,2). Physical inactivity and obesity are two factors associated with an increased risk for developing type 2 diabetes,* and arthritis has been determined to be a barrier to physical activity among adults with obesity (3). The prevalence of arthritis among the 33.9% (estimated 84 million)(dagger) of U.S. adults with prediabetes and how these conditions are related to physical inactivity and obesity are unknown. To examine the relationships among arthritis, prediabetes, physical inactivity, and obesity, CDC analyzed combined data from the 2009-2016 National Health and Nutrition Examination Surveys (NHANES). Overall, the unadjusted prevalence of arthritis among adults with prediabetes was 32.0% (26 million). Among adults with both arthritis and prediabetes, the unadjusted prevalences of leisure-time physical inactivity and obesity were 56.5% (95% confidence intervals [CIs] = 51.3-61.5) and 50.1% (CI = 46.5-53.6), respectively. Approximately half of adults with both prediabetes and arthritis are either physically inactive or have obesity, further increasing their risk for type 2 diabetes. Health care and public health professionals can address arthritis-specific barriers( section sign) to physical activity by promoting evidence-based physical activity interventions.( paragraph sign) Furthermore, weight loss and physical activity promoted though the National Diabetes Prevention Program can reduce the risk for type 2 diabetes and reduce pain from arthritis.