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After an anterior cruciate ligament (ACL) injury, people need secondary prevention strategies to identify osteoarthritis at its earliest stages so that interventions can be implemented to halt or slow the progression toward its long-term burden. The Osteoarthritis Action Alliance formed an interdisciplinary Secondary Prevention Task Group to develop a consensus on recommendations to provide clinicians with secondary prevention strategies that are intended to reduce the risk of osteoarthritis after a person has an ACL injury. The group achieved consensus on 15 out of 16 recommendations that address patient education, exercise and rehabilitation, psychological skills training, graded-exposure therapy, cognitive-behavioral counseling (lacked consensus), outcomes to monitor, secondary injury prevention, system-level social support, leveraging technology, and coordinated care models. We hope this statement raises awareness among clinicians and researchers on the importance of taking steps to mitigate the risk of osteoarthritis after an ACL injury.

The COVID-19 pandemic has impacted the careers of trainees and early career investigators (ECIs). We sought to assess how the American College of Rheumatology (ACR) and Rheumatology Research Foundation (RRF) can address the needs for those pursuing research careers.The Committee on Research created a survey to assess the impact of COVID-19 and identify topics for the ACR and RRF to address. In Fall of 2020, we surveyed post-doctoral trainees and ECIs within nine years of terminal training. Responses were analyzed using descriptive statistics and qualitative content analysis.Twenty-one percent of invitees responded to the survey (N=365); of these, 60% were pursuing careers in academic research. Seventy-five percent of respondents in academic research career paths placed their primary projects on hold during the pandemic. The number of individuals pursuing a research career from 2020 to 2021 decreased by 5%. Respondents reported funding, caregiving, and lack of preliminary data as significant challenges. Suggested impactful interventions included increased funding, funding process reform, and expanding mentoring and networking resources.Major identified stressors during the pandemic included increased caregiving responsibilities and difficulty obtaining data and funding for which respondents suggested increases and changes to funding programs as well as more mentoring and networking opportunities. Based on these, the Committee on Research proposes three priorities: (1) flexible funding mechanisms for ECIs and additional support for those impacted by caregiving; (2) virtual and in person programs for career development and networking; (3) curated content relevant to building a research career available on-demand. This article is protected by copyright. All rights reserved.

In prior cross-sectional analyses of African American patients with rheumatoid arthritis (RA), measures of socioeconomic status (SES) were associated with clinical joint damage and poorer patient-reported outcome scores. The purpose of this study was to determine whether SES measures are associated with disease progression in a cohort of African American patients with early RA (2 years duration).We analyzed baseline SES and change in 60-month clinical radiographs and patient-reported outcomes data (n = 101 and 177, respectively) in individuals with early RA. SES measures were educational attainment, occupation, homeownership, household income, and block group poverty. Outcomes were based on radiographs (total erosion and joint space narrowing [JSN] scores on hands and feet) and patient-reported outcomes (pain, fatigue, disability, and learned helplessness). We used logistic regression with mixed effects accounting for study site to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs).Both low education and occupation status were associated with worsening pain (adjusted OR 5.86 [95% CI 3.05-11.3] and adjusted OR 2.55 [95% CI 1.54-4.21], respectively). Patients without a high-school diploma were more likely to have worsened reports of learned helplessness (OR 1.92 [95% CI 1.37-2.67]). Community measures of SES were also significantly associated with patient-reported outcomes score changes. Patients living in areas of block group poverty ≥20% were twice as likely to experience increased disability scores over 60 months of disease duration (OR 1.95 [95% CI 1.17-3.25]). We found no association between SES measures and erosion or JSN score progression.Low educational attainment and nonprofessional occupation status were associated with increased worsening of patient-reported outcomes. However, there were no corresponding increases in radiographically assessed erosion or JSN score progression.

Objective To evaluate heterogeneity of treatment effects (HTE) in a trial of exercise-based interventions for knee osteoarthritis (OA). Methods Participants (n=350) were randomized to standard physical therapy (PT; n=140), Internet-Based Exercise Training (IBET; n=142), or wait list control (WL; n=68). We applied QUalitative INteraction Trees (QUINT), a sequential partitioning method, and Generalized Unbiased Interaction Detection and Estimation (GUIDE), a regression tree approach, to identify subgroups with greater improvements in Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score over 4-months. Predictors included 24 demographic, clinical and psychosocial characteristics. We conducted internal validation to estimate optimism (bias) in the range of mean outcome differences among arms. Results Both QUINT and GUIDE indicated that for participants with lower body mass index (BMI), IBET was better than PT (improvements of WOMAC ranged from 6.3 to 9.1 points lower) and for those with higher BMI and longer duration of knee OA, PT was better than IBET (WOMAC improvement was 6.3 points). In GUIDE analyses comparing PT or IBET to WL, participants not employed had improvements in WOMAC ranging from 1.8 to 6.8 points lower with PT or IBT vs. WL. From internal validation, there were large corrections to the mean outcome differences among arms; however, after correction some differences remained in the clinically meaningful range. Conclusion Results suggest there may be subgroups who experience greater improvement in symptoms from PT or IBET, and this could guide referrals and future trials. However, uncertainty persists for specific treatment effect size estimates and how they apply beyond this study sample.

Background The recent Flare-OA questionnaire measuring flare in knee and hip osteoarthritis (OA) (19 items in 5 dimensions, numerical rating scale) showed good psychometric properties along with classical test theory. This study aimed to determine its scaling properties by Rasch analysis and to present evidence for a refined scalable version. Methods The participants were 398 subjects with mean age 64 years (SD = 8.1), 70.4% women, recruited from Australia, France, and the United States, with clinically and radiologically symptomatic knee or hip OA, who completed an online survey. The sample was split into derivation and validation subsamples, stratified by country and joint. Rasch analysis examined differential item functioning (DIF) for sex, age, country and joint. A confirmatory factor analysis (CFA) and a convergent validity were performed to document the psychometric properties of the short version. Results To fit the Rasch model, we reordered thresholds of answering modalities when necessary. Two items were removed. A local dependency between 2 items was solved by combining items modalities into a super-item. A uniform DIF (expected and non-removed) was identified for one item that was split by joint, and a non-uniform DIF for one item for age and country (removed in this case). The person-item threshold distribution showed a well focused scale; the CFA and convergent validity showed good fit indicators for the short version. Conclusions The Rasch analysis was helpful in guiding the decision to refine the measurement instrument. After analysis, the Flare-OA-16 questionnaire self-report questionnaire is available for use in clinical research.

ImportanceSome weight loss and exercise programs that have been successful in academic center–based trials have not been evaluated in community settings.ObjectiveTo determine whether adaptation of a diet and exercise intervention to community settings resulted in a statistically significant reduction in pain, compared with an attention control group, at 18-month follow-up.Design, Setting, and ParticipantsAssessor-blinded randomized clinical trial conducted in community settings in urban and rural counties in North Carolina. Patients were men and women aged 50 years or older with knee osteoarthritis and overweight or obesity (body mass index ≥27). Enrollment (N = 823) occurred between May 2016 and August 2019, with follow-up ending in April 2021.InterventionsPatients were randomly assigned to either a diet and exercise intervention (n = 414) or an attention control (n = 409) group for 18 months.Main Outcomes and MeasuresThe primary outcome was the between-group difference in the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) knee pain score (range, 0 [none] to 20 [severe]; minimum clinically important difference, 1.6) over 18 months, tested using a repeated-measures mixed linear model with adjustments for covariates. There were 7 secondary outcomes including body weight.ResultsAmong the 823 randomized patients (mean age, 64.6 years; 637 [77%] women), 658 (80%) completed the trial. At 18-month follow-up, the adjusted mean WOMAC pain score was 5.0 in the diet and exercise group (n = 329) compared with 5.5 in the attention control group (n = 316) (adjusted difference, −0.6; 95% CI, −1.0 to −0.1; P = .02). Of 7 secondary outcomes, 5 were significantly better in the intervention group compared with control. The mean change in unadjusted 18-month body weight for patients with available data was −7.7 kg (8%) in the diet and exercise group (n = 289) and −1.7 kg (2%) in the attention control group (n = 273) (mean difference, −6.0 kg; 95% CI, −7.3 kg to −4.7 kg). There were 169 serious adverse events; none were definitely related to the study. There were 729 adverse events; 32 (4%) were definitely related to the study, including 10 body injuries (9 in diet and exercise; 1 in attention control), 7 muscle strains (6 in diet and exercise; 1 in attention control), and 6 trip/fall events (all 6 in diet and exercise).Conclusions and RelevanceAmong patients with knee osteoarthritis and overweight or obesity, diet and exercise compared with an attention control led to a statistically significant but small difference in knee pain over 18 months. The magnitude of the difference in pain between groups is of uncertain clinical importance.Trial RegistrationClinicalTrials.gov Identifier: NCT02577549

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.

Background Physical activity reduces osteoarthritis symptoms, yet many individuals with the disease are insufficiently active. Purpose We identified physical activity trajectories over 12 months of individuals with osteoarthritis and examined how their cohabiting spouses’/partners’ baseline physical activity and relationship factors affected trajectory membership. Methods In this longitudinal observational study, we collected data from 168 adults with knee/hip osteoarthritis. We used latent class growth curve analysis to identify physical activity trajectories and logistic regression to predict trajectory membership using partners’ physical activity, relationship satisfaction, and communal coping (belief that both partners are responsible for osteoarthritis management). Measures, including objectively assessed physical activity, were collected at baseline from the couple, who then received an educational class on physical activity and social support. Objectively assessed physical activity was also collected from individuals with osteoarthritis at 1 week, 3 months, 6 months, and 12 months post-baseline. Results Three trajectories were identified: stable active, increaser, and stable sedentary (24%, 40%, 37% of participants, respectively). Individuals with osteoarthritis with partners who were more active and who believed they alone were responsible for their osteoarthritis were more likely to follow the stable active (versus stable sedentary) trajectory. Those with partners who were less active and had higher relationship satisfaction were more likely to follow the increaser (vs. stable active) trajectory. Conclusions Findings demonstrate the importance of considering partner and relationship factors in physical activity interventions for couples.

Objective To examine relationships between knee osteoarthritis (KOA) and obesity, diabetes mellitus (DM), and cardiovascular disease (CVD). Methods Associations of time-dependent obesity, DM, and CVD with KOA transition states over approximately 18 years were examined among 4093 participants from a community-based cohort. Transition states were 1) no knee symptoms and no radiographic KOA (rKOA; Kellgren-Lawrence grade ≥2 in at least one knee), 2) asymptomatic rKOA, 3) knee symptoms only, 4) symptomatic rKOA (sxKOA; rKOA and symptoms in same knee). Markov multistate models estimated adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for associations between comorbid conditions and transitions across states, adjusting for baseline age, sex, race, education, enrollment cohort, birth year, and time-dependent knee injury history. Results At baseline, 40% of participants had obesity, 13% had DM, and 22% had CVD (mean age = 61 years; 34% Black; 37% male). Compared with those without obesity, those with obesity had a higher hazard of worsening from no rKOA/no symptoms to asymptomatic rKOA (aHR = 1.7; 95% CI = 1.3-2.2) and from knee symptoms to sxKOA (aHR = 1.7; 95% CI = 1.3-2.3), as well as a lower hazard of symptom resolution from sxKOA to asymptomatic rKOA (aHR = 0.5 [95% = CI 0.4-0.7]). Compared with those without CVD, those with CVD had a higher hazard of worsening from no rKOA/symptoms to knee symptoms (aHR = 1.5; 95% CI = 1.1-2.1). DM was not associated with transitions of rKOA. Conclusion Prevention of obesity and CVD may limit the development or worsening of rKOA and symptoms.

OBJECTIVE To apply a precision medicine approach to determine the optimal treatment regime for participants in an exercise (E), dietary weight loss (D), and D + E trial for knee osteoarthritis that would maximize their expected outcomes. METHODS Using data from 343 participants of the Intensive Diet and Exercise for Arthritis (IDEA) trial, we applied 24 machine-learning models to develop individualized treatment rules on 7 outcomes: Short Form 36 physical component score, weight loss, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain/function/stiffness scores, compressive force, and interleukin-6 level. The optimal model was selected based on jackknife value function estimates that indicate improvement in the outcomes if future participants follow the estimated decision rule compared to the optimal single, fixed treatment model. RESULTS Multiple outcome random forest was the optimal model for the WOMAC outcomes. For the other outcomes, list-based models were optimal. For example, the estimated optimal decision rule for weight loss indicated assigning the D + E intervention to participants with baseline weight not exceeding 109.35 kg and waist circumference above 90.25 cm, and assigning D to all other participants except those with a history of a heart attack. If applied to future participants, the optimal rule for weight loss is estimated to increase average weight loss to 11.2 kg at 18 months, contrasted with 9.8 kg if all participants received D + E (P = 0.01). CONCLUSION The precision medicine models supported the overall findings from IDEA that the D + E intervention was optimal for most participants, but there was evidence that a subgroup of participants would likely benefit more from diet alone for 2 outcomes.

Introduction The Arthritis Foundation’s Walk With Ease (WWE) program has been shown to reduce arthritis symptoms and increase physical performance for up to 1 year. However, research on community-based WWE implementation is limited. The purpose of this study was to examine early implementation at community organizations that received 1-year WWE implementation grants from the Osteoarthritis Action Alliance. Method Program managers at five Osteoarthritis Action Alliance grantee organizations participated in 45-minute telephone interviews. Interviewees represented organizations with the highest WWE enrollment at 6 months ( n = 3, >30% of goal enrollment) and no enrollment at 6 months ( n = 2). The Planning for Sustainability framework guided qualitative analysis of factors affecting early implementation. Results All grantees were confident in WWE’s evidence base, thought it a beneficial supplement to other programming, stressed the importance of senior leadership support for WWE, and engaged community partners for marketing support and as walking sites. Implementation experiences unique to low enrollment grantees were (1) recent major structural changes within their organization, (2) difficulties in communicating logistics internally, and (3) difficulties in balancing WWE with other responsibilities. All organizations experienced barriers that required altering their original implementation plans; however, practical solutions like adapting the program to improve flexibility, training organizational staff as leaders, and utilizing community partnerships served to address multiple barriers simultaneously. Discussion Building organizational capacity by overcoming early barriers is a key element of early implementation. Our findings offer concrete solutions to early WWE implementation barriers and suggest the need for further research on adaptations to improve WWE’s flexibility in community organizations.

OBJECTIVE To examine how neighborhood characteristics are associated with health outcomes among older adults with osteoarthritis. METHODS In multilevel, cross-sectional, and longitudinal analyses we examined whether 4 neighborhood characteristics were associated with depressive symptoms and reported knee impact scores, and whether the neighborhood characteristics interacted with race/ethnicity among older adults with radiographic knee osteoarthritis (n = 656 for cross-sectional analyses and n = 434 for longitudinal analyses). The data came from the Johnston County Osteoarthritis Project, a prospective cohort study in North Carolina designed to examine risk factors for osteoarthritis. RESULTS Although few longitudinal associations were found, cross-sectional results suggested that greater perceived neighborhood social cohesion (B = -0.04, P < 0.001) and perceived neighborhood resources for physical activity and walking (B = -0.03, P < 0.001) were associated with fewer depressive symptoms, and that greater perceived neighborhood resources for physical activity and walking were associated with higher (better) knee impact scores (B = 0.48, P = 0.008). We also observed 2 significant interactions among neighborhood characteristics and race/ethnicity related to depressive symptoms (P < 0.01); for African American adults, greater perceived neighborhood resources for physical activity and walking were associated with fewer depressive symptoms (B = -0.03, P < 0.001), but for White adults, greater perceived neighborhood safety was associated with fewer depressive symptoms (B = -0.04, P = 0.003). CONCLUSION In a sample of older adults with radiographic knee osteoarthritis, neighborhood context mattered, but in nuanced ways. Interventions aiming to improve mental and physical functioning of older adults with knee osteoarthritis can look to this study as evidence for the importance of neighborhood characteristics.

OBJECTIVE: Adults with radiographic knee OA (rKOA) are at increased risk of mortality and walking difficulty may modify this relation. Little is known about specific aspects of walking difficulty that increase mortality risk. We investigated the association of walking speed (objective measure of walking difficulty) with mortality and examined the threshold that best discriminated this risk in adults with rKOA. METHODS: Participants with rKOA from the Johnston County Osteoarthritis Project (JoCoOA, longitudinal population-based cohort), Osteoarthritis Initiative and Multicenter Osteoarthritis Study (OAI and MOST, cohorts of individuals with or at high risk of knee OA) were included. Baseline speed was measured via 2.4-meter (m) walk test (short-distance) in JoCoOA and 20-m walk test (standard-distance) in OAI and MOST. To examine the association of walking speed with mortality risk over nine years, hazard ratios (aHR) and 95% confidence intervals (CI) were calculated from Cox regression models adjusted for potential confounders., A Maximal Likelihood Ratio Chi-square Approach was utilized to identify an optimal threshold of walking speed predictive of mortality. RESULTS: Deaths after 9 years of follow-up occurred in 23.3% (290/1244) of JoCoOA and 5.9% (249/4215) of OAI+MOST. Walking 0.2 meters/second slower during short- and standard-distance walk tests was associated with 23% (aHR[95%CI]; 1.23[1.10, 1.39]) and 25% (1.25[1.09, 1.43]) higher mortality risk, respectively. Walking

Objective In individuals with knee osteoarthritis (OA), self-reported physical function is poorer in African Americans than in whites, but whether this difference holds true for objective assessments is unclear. The purpose of this study was to examine racial differences in performance-based physical function as well as potential underlying factors contributing to these racial differences. Methods Participants with knee OA from a randomized controlled trial completed the 2-minute step test (2MST), timed-up-and-go (TUG), and 30-second chair stand (30s-CST) at baseline. Race differences in performance-based function were assessed by logistic regression. Separate models were adjusted for sets of demographic, socioeconomic, psychological health, and physical health variables. Results In individuals with knee OA (n = 322; 72% women, 22% African American, mean ± SD age 66 ± 11 years, mean ± SD body mass index 31 ± 8 kg/m2 ), African Americans (versus whites) had greater unadjusted odds of poorer function (30s-CST odds ratio [OR] 2.79 [95% confidence interval (95% CI) 1.65-4.72], 2MST OR 2.37 [95% CI 1.40-4.03], and TUG OR 3.71 [95% CI 2.16-6.36]). Relationships were maintained when adjusted for demographic and psychological health covariates, but they were either partially attenuated or nonsignificant when adjusted for physical health and socioeconomic covariates. Conclusion African American adults with knee OA had poorer unadjusted performance-based function than whites. Physical health and socioeconomic characteristics diminished these differences, emphasizing the fact that these factors may be important to consider in mitigating racial disparities in function.

Background The What Matters Most (WMM) study was initiated to evaluate symptoms, AD-related impacts, treatment-related needs, preferences, and priorities among individuals with or at risk for Alzheimer’s disease (AD) and their care partners. The objective of this qualitative study phase was to identify a comprehensive set of concepts of interest that are meaningful to individuals across the AD continuum. Methods Interviews were conducted with 60 clinically referred individuals and care partners across 5 AD stages (n = 12 each): group 1 (non-clinically impaired individuals with AD pathology), group 2 (individuals with mild cognitive impairment and AD pathology), group 3 (individuals with mild AD), group 4 (individuals with moderate AD and their care partners), and group 5 (care partners of individuals with severe AD). Interviews were conducted by experienced interviewers, audio-recorded, and transcribed. Dominant trends were identified in each interview and compared across subsequent interviews to generate themes or patterns in descriptions of AD symptoms, impacts, and desired treatment outcomes. Results All participants endorsed current issues related to memory; nearly all participants (n = 55; 92%) across the five groups endorsed symptoms related to communication and language. Groups 1–3 reported an impact on mood/emotions (n = 23; 64%) and a decrease in social activities or outgoingness (n = 17; 47%). Current and future concerns reported by the overall sample included memory (n = 48; 80%), dependence (n = 40; 67%), and “other” concerns (n = 33; 55.0%) (e.g., uncertainty about the future, burdening others). The most desired AD treatment outcomes were improvement or restoration of memory (n = 40; 67%) and stopping AD progression (n = 35; 58.3%). Group-level differences were observed in the symptoms, impacts, and desired treatment outcomes among patients and care partners across the AD continuum. Conclusions Cognitive functioning issues—particularly in memory and communication—are present even in preclinical and early-stage AD, including among those without a formal AD diagnosis. While the impacts of AD vary across the disease-severity spectrum, improved memory and disease modification were treatment outcomes considered most important to participants across all 5 AD stages. Neuropsychological assessments traditionally used in AD clinical trials may not evaluate the often-subtle concepts that are important to patients and care partners. Results from this study will inform the second phase of the WMM project—a quantitative study to elicit the relative importance of these concepts of interest to people at risk for and living with AD and their care partners.

Background To obtain information on feasibility and acceptability, as well as preliminary data on efficacy, of an Osteoarthritis Physical activity Care Pathway (OA-PCP). Methods This was a single group pilot study involving 60 participants with symptomatic, physician diagnosed knee or hip OA, recruited from primary care clinics. Participants self-reported completing less than 150 min per week of moderate-to-vigorous physical activity (MVPA) at baseline. The 3-month OA-PCP intervention involved 3 physical activity (PA) coaching calls (focused on goal setting), three check-in emails and linkage with community-based or online resources to support PA. Efficacy outcomes were collected at baseline and 4-month follow-up. The primary efficacy outcome was minutes of MVPA, assessed via accelerometer. Secondary outcomes included minutes of light intensity activity, sedentary minutes, step counts, and Western Ontario and McMaster Universities (WOMAC) pain and function subscales. Participants were also asked to rate the helpfulness of the OA-PCP intervention on a scale of 0–10. Differences in efficacy outcomes between baseline and 4-month follow-up were assessed using paired t-tests. Results Among participants beginning the study, 88% completed follow-up assessments and ≥ 90% completed each of the intervention calls. Average daily minutes of MVPA was 8.0 at baseline (standard deviation (SD) = 9.9) and 8.9 at follow-up (SD = 12.1, p = 0.515). There were no statistically significant changes in light intensity activity, sedentary time or step counts. The mean WOMAC pain score improved from 8.1 (SD = 3.6) at baseline to 6.2 (SD = 3.8) at follow-up (p Conclusions Results supported the feasibility and acceptability of the study, and participants reported clinically relevant improvements in pain and function. PA metrics did not improve substantially. Based on these results and participant feedback, modifications including enhanced self-monitoring are being made to increase the impact of the OA-PCP intervention on PA behavior. Trial registration NCT03780400, December 19, 2018.

Objective The goal of this paper is to describe approaches for the joint analysis of repeatedly measured data with time-to-event end points, first separately and then in the framework of a single comprehensive model, emphasizing the efficiency of the latter approach. Data from the Johnston County Osteoarthritis (JoCo OA) Project will be used as an example to investigate the relationship between the change in repeatedly measured body mass index (BMI) and the time-to-event end point of incident worsening of radiographic knee OA that was defined as an increased Kellgren/Lawrence grade in at least 1 knee over time. Methods First, we provide an overview of the methods for analyzing repeated measurements and time-to-event end points separately. Then, we describe traditional (Cox proportional hazards model [CoxPH]) and emerging (joint model [JM]) approaches, both of which allow combined analysis of repeated measures with a time-to-event end point in the framework of a single statistical model. Finally, we apply the models to JoCo OA data and interpret and compare the results from the different approaches. Results Applications of the JM (but not the CoxPH) showed that the risk of worsening radiographic OA is higher when BMI is higher or increasing, thus illustrating the advantages of the JM for analyzing such dynamic measures in a longitudinal study. Conclusion Joint models are preferable for simultaneous analyses of repeated measurement and time-to-event outcomes, particularly in the context of chronic disease, where dependency between the time-to-event end point and the longitudinal trajectory of repeated measurements is inherent.

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] of2) 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.

Physical activity (PA) is important for managing osteoarthritis (OA), but many patients are inactive. Research is needed on strategies to leverage clinical encounters to engage patients in PA. Guided by the socioecological model of health behavior, this study aimed to engage stakeholders in the process of refining an Osteoarthritis Physical Activity Care Pathway (OA-PCP). Six focus groups and seven individual interviews were conducted with key stakeholders. Focus groups were specific to stakeholder roles and included patients with OA, support partners, and clinic personnel ( n = 6 focus groups). Interview participants were local and national PA program representatives ( n = 7 interviews). Data were analyzed by thematic analysis. Themes identified in the data included ways the OA-PCP can help patients with OA address challenges to PA engagement, strategies for connecting patients with PA resources, methods for implementing OA-PCP into clinical settings and potential use of PA trackers in the OA-PCP program. Stakeholders’ comments were summarized into key recommendations for OA-PCP. Some recommendations reinforced and led to refinements in planned aspects of OA-PCP, including tailoring to individual patients, involvement of a support partner, and addressing pain with PA. Other recommendations resulted in larger changes for OA-PCP, including the addition of three email- or mail-based contacts and not requiring use of a PA tracker. The refined OA-PCP program is being evaluated in an exploratory trial, with the ultimate goal of establishing a PA program for OA that can be successfully implemented in clinical settings.

Objective The effect of physical activity on the risk of developing knee osteoarthritis (OA) is unclear. We undertook this study to examine the relationship between recreational physical activity and incident knee OA outcomes using comparable physical activity and OA definitions. Methods Data were acquired from 6 global, community-based cohorts of participants with and those without knee OA. Eligible participants had no evidence of knee OA or rheumatoid arthritis at baseline. Participants were followed up for 5–12 years for incident outcomes including the following: 1) radiographic knee OA (Kellgren-Lawrence [K/L] grade ≥2), 2) painful radiographic knee OA (radiographic OA with knee pain), and 3) OA-related knee pain. Self-reported recreational physical activity included sports and walking/cycling activities and was quantified at baseline as metabolic equivalents of task (METs) in days per week. Risk ratios (RRs) were calculated and pooled using individual participant data meta-analysis. Secondary analysis assessed the association between physical activity, defined as time (hours per week) spent in recreational physical activity and incident knee OA outcomes. Results Based on a total of 5,065 participants, pooled RR estimates for the association of MET days per week with painful radiographic OA (RR 1.02 [95% confidence interval (95% CI) 0.93–1.12]), radiographic OA (RR 1.00 [95% CI 0.94–1.07]), and OA-related knee pain (RR 1.00 [95% CI 0.96–1.04]) were not significant. Similarly, the analysis of hours per week spent in physical activity also showed no significant associations with all outcomes. Conclusions Our findings suggest that whole-body, physiologic energy expenditure during recreational activities and time spent in physical activity were not associated with incident knee OA outcomes.

It is estimated that 32.5 million US adults have clinical osteoarthritis (OA), with the most common sites being knee and hip. OA is associated with substantial individual and societal costs. Race/ethnicity, socioeconomic status (SES), and geographic variations in the prevalence of knee and hip OA are well established around the world. In addition, clinical outcomes associated with hip and knee OA differ according to race/ethnicity, SES, and geography. This variation is likely multifactorial and may also reflect country-specific differences in health care systems. The interplay between different factors, such as geography, SES, and race/ethnicity, is difficult to study.

BACKGROUND. Physical activity can improve osteoarthritis-related symptoms; however, many people with osteoarthritis (PWOA) are insufficiently active. Social support for physical activity from an intimate partner can help PWOA increase activity, but managing multiple, chronic physical or mental health conditions (i.e., multimorbidity) may influence provision and receipt of that support. METHODS. Data from a one-year longitudinal observational study was used to examine associations between multimorbidity and three dimensions of partner support for physical activity—companionship partner support (doing activity together), enacted partner support, and social support effectiveness—in 169 insufficiently active PWOA and their partners. RESULTS. Multivariable-adjusted multi-level models indicated baseline differences in support by multimorbidity status: when partners had multimorbidity, PWOA reported receiving less companionship support and less effective support from partners; when PWOA had multimorbidity, partners reported providing less enacted support and both partners and PWOA reported less effective partner support. Broad trends (p

OBJECTIVE: To examine the association of disease activity and disability with rehabilitation utilization in African Americans with rheumatoid arthritis (RA). METHODS: We analyzed cross-sectional baseline data from the Consortium for the Longitudinal Evaluation of African Americans with RA (CLEAR) I and CLEAR II Registry. Disease activity was quantified with the Disease Activity Score 28 with C-Reactive Protein. Disability was measured with the Health Assessment Questionnaire. Rehabilitation utilization was determined by self-reported recall of physical therapy or occupational therapy visits in the prior 6 months or ever. We examined the association of disease activity and disability with rehabilitation utilization using separate binary logistic regression models to estimate odds ratios and 95% confidence intervals and adjusted for potential confounders. We repeated the analyses with the sample stratified by disease duration: early RA and established RA. RESULTS: Of 1067 participants, 14% reported utilizing rehabilitation in the prior 6 months, and 41% reported ever utilizing rehabilitation. Rehabilitation utilization in the prior 6 months was similar among those with early and established RA (12% vs. 16%). A greater proportion of those with established RA reported any past rehabilitation utilization (28% vs. 50%). Among those with established RA but not early RA, worse disability was associated with rehabilitation utilization in the prior 6 months. Disease activity was not associated with either outcome. CONCLUSION: Among African Americans with RA, rehabilitation utilization in the 6 months prior to assessment was low and associated with disability, but not disease activity. Factors driving rehabilitation utilization are unclear.

Background Osteoarthritis (OA) is a chronic joint disease, with increasing global burden of disability and healthcare utilisation. Recent meta-analyses have shown a range of effects of OA on mortality, reflecting different OA definitions and study methods. We seek to overcome limitations introduced when using aggregate results by gathering individual participant-level data (IPD) from international observational studies and standardising methods to determine the association of knee OA with mortality in the general population. Methods Seven community-based cohorts were identified containing knee OA-related pain, radiographs, and time-to-mortality, six of which were available for analysis. A two-stage IPD meta-analysis framework was applied: (1) Cox proportional hazard models assessed time-to-mortality of participants with radiographic OA (ROA), OA-related pain (POA), and a combination of pain and ROA (PROA) against pain and ROA-free participants; (2) hazard ratios (HR) were then pooled using the Hartung–Knapp modification for random-effects meta-analysis. Findings 10,723 participants in six cohorts from four countries were included in the analyses. Multivariable models (adjusting for age, sex, race, BMI, smoking, alcohol consumption, cardiovascular disease, and diabetes) showed a pooled HR, compared to pain and ROA-free participants, of 1.03 (0.83, 1.28) for ROA, 1.35 (1.12, 1.63) for POA, and 1.37 (1.22, 1.54) for PROA. Discussion Participants with POA or PROA had a 35–37% increased association with reduced time-to-mortality, independent of confounders. ROA showed no association with mortality, suggesting that OA-related knee pain may be driving the association with time-to-mortality. Funding Versus Arthritis Centre for Sport, Exercise and Osteoarthritis and Osteoarthritis Research Society International.