Arthritis is associated with high nutritional risk among older Canadian adults from the Canadian Longitudinal Study on Aging.

This study assessed the association between arthritis, functional impairment, and nutritional risk (NR). Cross-sectional data were from the Canadian Longitudinal Study on Aging, a nationally representative sample of 45-85-year-old community-dwelling Canadians (n = 41,153). The abbreviated Seniors in the Community: Risk Evaluating for Eating and Nutrition II (SCREEN II-AB) Questionnaire determined NR scores (continuous), and high NR (score < 38); the Older American Resources and Services scale measured functional impairment. NR scores and status (low/high) were modelled using multiple linear and logistic regressions, respectively. Analyses adjusted for demographic characteristics, functional impairment, and health (body mass index, self-rated general and mental health). Additional analyses stratified the models by functional impairment. People with arthritis had poorer NR scores (B: - 0.35, CI - 0.48, - 0.22; p < 0.05) and increased risks of high NR (OR 1.11, 95% CI 1.06, 1.17). Among those with functional impairment, the likelihood of high NR was 31% higher in people with arthritis compared to those without arthritis (95% CI 1.12, 1.53). Among those with no functional impairment, the likelihood of high NR was 10% higher in people with arthritis compared to those without (95% CI 1.04, 1.16). These relationships differed based on the type of arthritis. Arthritis is associated with high NR in community-dwelling older adults, both with and without functional impairment. Findings highlight the need for further research on these relationships to inform interventions and improve clinical practices.

Impact of COVID-19 on arthritis with generative AI.

OBJECTIVE: The study aims to examine the effects of the COVID-19 pandemic on the prevalence of arthritis in the US using a specific generative AI tool. METHODS: The AI tool with Bing.com/copilot, designed to generate Python code, uses data from the Centers for Disease Control and Prevention (CDC) to visualize trends and uncover insights in four key areas: (1) The prevalence of arthritis in adults aged 18 years and older who have diabetes, (2) The prevalence of fair or poor health in adults aged 18 years and older who have arthritis, (3) The prevalence of activity limitations due to arthritis in adults aged 18 years and older with doctor-diagnosed arthritis, (4) The prevalence of arthritis in adults aged 18 years and older who are obese. This research did not require approval from an institutional review board or an ethics committee. RESULTS: The findings reveal a significant decline in the prevalence of arthritis among adults with conditions such as diabetes and obesity during the COVID-19 pandemic. There was also an observed improvement in activity limitations among patients with doctor-diagnosed arthritis. CONCLUSION: The study highlights the potential impact of the pandemic on chronic disease management, particularly arthritis. It underscores the importance of continued monitoring and care for patients with arthritis, especially during a global health crisis like the COVID-19 pandemic. The use of AI tools in generating insights from health data proves to be valuable in this context.

Does neighbourhood deprivation influence low back pain and arthritis: An empirical study using multilevel twin design.

OBJECTIVE: Neighbourhood deprivation has been found to be associated with many health conditions, but its association with low back pain (LBP) and arthritis is unclear. This study aimed to examine the association between neighbourhood deprivation with LBP and arthritis, and its potential interaction with individual socioeconomic status (SES) on these outcomes. METHODS: Monozygotic (MZ) twins from the Washington State Twin Registry were used to control for genetic and common environmental factors that could otherwise confound the purported relationship. Multilevel models were employed to examine the association between neighbourhood deprivation as well as individual-level SES with LBP/arthritis, adjusting for age, sex, body mass index (BMI) and residence rurality. RESULTS: There were 6,380 individuals in the LBP sample and 2,030 individuals in the arthritis sample. Neighbourhood deprivation was not associated with LBP (P = 0.26) or arthritis (P = 0.61), and neither was its interaction with individual-level SES. People without a bachelor's degree were more likely to report LBP (OR 1.44, 95% CI 1.26-1.65) or both LBP and arthritis (OR 1.67, 95% CI 1.14-2.45) than those with a bachelor's degree, but not for arthritis alone (P = 0.17). Household income was not significantly associated with LBP (P = 0.16) or arthritis (p = 0.23) independent of age, sex, and BMI. CONCLUSION: Our study did not find significant associations between neighbourhood deprivation and the presence of LBP or arthritis. More research using multilevel modelling to investigate neighbourhood effects on LBP and arthritis is recommended.

Triglyceride-glucose index in the prediction of new-onset arthritis in the general population aged over 45: the first longitudinal evidence from CHARLS.

OBJECTIVE: Insulin resistance (IR) imposes a significant burden on inflammatory diseases, and the triglyceride-glucose (TyG) index, which is an easily accessible indicator for detecting IR, holds great application potential in predicting the risk of arthritis. The aim of this study is to analyze the association between the TyG index and the risk of new-onset arthritis in the common population aged over 45 using a prospective cohort study design. METHOD: This population-based cohort study involved 4418 participants from the China Health and Retirement Longitudinal Study (from Wave 1 to Wave 4). Multivariate logistic regression models were employed to investigate the association between the TyG index and new-onset arthritis, and RCS analyses were used to investigate potential non-linear relationships. Moreover, decision trees were utilized to identify high-risk populations for incident arthritis. RESULT: Throughout a 7-year follow-up interval, it was found that 396 participants (8.96%) developed arthritis. The last TyG index quartile group (Q4) presented the highest risk of arthritis (OR, 1.39; 95% CI, 1.01, 1.91). No dose-response relationship between the TyG index and new-onset arthritis was identified (Poverall=0.068, Pnon-linear=0.203). In the stratified analysis, we observed BMI ranging from 18.5 to 24 exhibited a heightened susceptibility to the adverse effects of the TyG index on the risk of developing arthritis (P for interaction = 0.035). CONCLUSION: The TyG index can be used as an independent risk indicator for predicting the start of new-onset arthritis within individuals aged 45 and above within the general population. Improving glucose and lipid metabolism, along with insulin resistance, may play a big part in improving the primary prevention of arthritis.

Personality and Risk of Arthritis in Six Longitudinal Samples.

OBJECTIVES: Personality traits are broadly related to medical conditions, but there is limited research on the association with the risk of arthritis. This multicohort study examines the concurrent and prospective associations between personality traits and arthritis risk. METHODS: Participants (N > 45,000) were mostly middle-aged and older adults from 6 established longitudinal cohorts. Baseline assessments of personality traits, covariates (age, sex, education, race, ethnicity, depressive symptoms, body mass index, and smoking), and arthritis diagnosis were obtained in each sample. Arthritis incidence was assessed over 8-20 years of follow-up. RESULTS: The meta-analyses identified an association between higher neuroticism and an increased risk of concurrent (odds ratio = 1.20, 95% confidence interval [CI] = 1.16-1.24; p < .001, I2 = 40.27) and incident (hazard ratio = 1.11, 95% CI = 1.08-1.14; p < .001, I2 = 0) arthritis and between higher conscientiousness and a decreased risk of concurrent (odds ratio = 0.88, 95% CI = 0.86-0.90; p < .001, I2 = 0) and incident (hazard ratio = 0.95, 95% CI = 0.92-0.98; p = .002, I2 = 41.27) arthritis. Higher extraversion was linked to lower risk of concurrent (odds ratio = 0.92, 95% CI = 0.88-0.96; p < .001, I2 = 76.09) and incident (hazard ratio = 0.97, 95% CI = 0.95-0.99; p = .018, I2 = 0) arthritis, and openness was related to lower risk of concurrent arthritis (odds ratio = 0.96, 95% CI = 0.93-0.99; p = .006, I2 = 35.86). Agreeableness was unrelated to arthritis. These associations were partially accounted for by depressive symptoms, body mass index, and smoking. There was no consistent evidence of moderation by age or sex. DISCUSSION: Findings from 6 samples point to low neuroticism and higher conscientiousness as factors that reduce the risk of arthritis.

Association of self-reported arthritis with depression, anxiety, and comorbid depression/anxiety among the older Chinese adults: A cross-sectional study.

BACKGROUND: Arthritis is relatively common among middle-aged and older people and is a significant public health problem. However, research on the relationship between arthritis and mental health in older populations is currently limited. METHODS: Data were obtained from the Chinese Longitudinal Healthy Longevity Survey. The 10-item Center for Epidemiologic Studies Depression Scale and 7-item Generalized Anxiety Disorder Scale were used to evaluate depressive and anxiety symptoms. Arthritis status was self-reported. Linear and logistic regression analyses were conducted to assess the impact of arthritis on depression, anxiety, and comorbid depression/anxiety symptoms. RESULTS: A total of 11,104 participants aged ≥65 years (mean age, 83.1 ± 11.1 years) were included in the analysis. We detected positive associations of arthritis with depression symptoms (adjusted odds ratio [OR]: 1.57, 95 % confidence interval [CI] 1.33 to 1.86), anxiety symptoms (adjusted OR: 1.48, 95 % CI: 1.15 to 1.90), and comorbid depression/anxiety symptoms (adjusted OR: 1.88, 95 % CI: 1.41 to 2.5) in the older adult population. Participants with arthritis had higher anxiety (adjusted linear regression coefficient: 0.43, 95 % CI: 0.24 to 0.63) and depression (adjusted linear regression coefficient: 0.87, 95 % CI: 0.57 to 1.14) scores compared with those without arthritis. In addition, there were no significant interaction effects between arthritis and participant characteristics on depression symptoms, anxiety symptoms, or comorbid depression/anxiety symptoms. CONCLUSIONS: Arthritis was positively associated with depression symptoms, anxiety symptoms, and comorbid depression/anxiety symptoms among older adults. Further cohort studies are needed to validate these associations.

Associations of perchlorate, nitrate, and thiocyanate exposure with arthritis and inflammation indicators in young and middle-aged adults, NHANES 2005-2016.

Background: Perchlorates, nitrates, and thiocyanates are prevalent environmental chemicals. Their potential association with arthritis remains unexplored. This study aimed to investigate the link between perchlorate, nitrate, and thiocyanate exposure and arthritis, as well as the potential role of inflammation in this context. Methods: Utilizing the National Health and Nutrition Examination Survey (NHANES) data spanning from 2005 to 2016, the study enrolled 6597 participants aged 20-59 (young and middle-aged), of which 1045 had arthritis. Employing multivariate logistic regression modeling, multiple linear regression models, restricted cubic spline analysis, Bayesian kernel machine regression (BKMR) modeling, and mediation analysis, we assessed these relationships. Results: There was a significant positive association between elevated urinary thiocyanate levels and arthritis risk [1.19 (1.11, 1.28)]. This association held true across subgroups of osteoarthritis (OA) [1.24 (1.10, 1.40)] and rheumatoid arthritis (RA) [1.33 (1.15, 1.55)]. Thiocyanate levels displayed a dose-dependent relationship with arthritis risk, showing a linear trend (nonlinear P > 0.05). Conversely, perchlorate and nitrate did not exhibit associations with arthritis risk. BKMR outcomes highlighted a positive correlation between a mixture of perchlorate, nitrate, and thiocyanate and arthritis risk, with thiocyanate being the predominant predictors. Moreover, BKMR and generalized linear model analyses unveiled no significant synergistic effect of urinary perchlorate, nitrate, and thiocyanate on arthritis risk. Furthermore, thiocyanate exposure has been linked to elevated levels of inflammatory indicators (white blood cell, neutrophils, lymphocytes, and systemic immune-inflammatory index (SII)). Conclusion: Heightened thiocyanate exposure may be linked to elevated arthritis risk, either single or in combined effects. Additionally, thiocyanate exposure is associated with heightened inflammation levels.

Trajectories network analysis of chronic diseases among middle-aged and older adults: evidence from the China Health and Retirement Longitudinal Study (CHARLS).

BACKGROUND: Given the increased risk of chronic diseases and comorbidity among middle-aged and older adults in China, it is pivotal to identify the disease trajectory of developing chronic multimorbidity and address the temporal correlation among chronic diseases. METHOD: The data of 15895 participants from the China Health and Retirement Longitudinal Study (CHARLS 2011 - 2018) were analyzed in the current study. Binomial tests and the conditional logistic regression model were conducted to estimate the associations among 14 chronic diseases, and the disease trajectory network analysis was adopted to visualize the relationships. RESULTS: The analysis showed that hypertension is the most prevalent disease among the 14 chronic conditions, with the highest cumulative incidence among all chronic diseases. In the disease trajectory network, arthritis was found to be the starting point, and digestive diseases, hypertension, heart diseases, and dyslipidemia were at the center, while memory-related disease (MRD), stroke, and diabetes were at the periphery of the network. CONCLUSIONS: With the chronic disease trajectory network analysis, we found that arthritis was prone to the occurrence and development of various other diseases. In addition, patients of heart diseases/hypertension/digestive disease/dyslipidemia were under higher risk of developing other chronic conditions. For patients with multimorbidity, early prevention can preclude them from developing into poorer conditions, such as stroke, MRD, and diabetes. By identifying the trajectory network of chronic disease, the results provided critical insights for developing early prevention and individualized support services to reduce disease burden and improve patients' quality of life.

A model-based approach to estimating the prevalence of disease combinations in South Africa.

BACKGROUND: The development of strategies to better detect and manage patients with multiple long-term conditions requires estimates of the most prevalent condition combinations. However, standard meta-analysis tools are not well suited to synthesising heterogeneous multimorbidity data. METHODS: We developed a statistical model to synthesise data on associations between diseases and nationally representative prevalence estimates and applied the model to South Africa. Published and unpublished data were reviewed, and meta-regression analysis was conducted to assess pairwise associations between 10 conditions: arthritis, asthma, chronic obstructive pulmonary disease (COPD), depression, diabetes, HIV, hypertension, ischaemic heart disease (IHD), stroke and tuberculosis. The national prevalence of each condition in individuals aged 15 and older was then independently estimated, and these estimates were integrated with the ORs from the meta-regressions in a statistical model, to estimate the national prevalence of each condition combination. RESULTS: The strongest disease associations in South Africa are between COPD and asthma (OR 14.6, 95% CI 10.3 to 19.9), COPD and IHD (OR 9.2, 95% CI 8.3 to 10.2) and IHD and stroke (OR 7.2, 95% CI 5.9 to 8.4). The most prevalent condition combinations in individuals aged 15+ are hypertension and arthritis (7.6%, 95% CI 5.8% to 9.5%), hypertension and diabetes (7.5%, 95% CI 6.4% to 8.6%) and hypertension and HIV (4.8%, 95% CI 3.3% to 6.6%). The average numbers of comorbidities are greatest in the case of COPD (2.3, 95% CI 2.1 to 2.6), stroke (2.1, 95% CI 1.8 to 2.4) and IHD (1.9, 95% CI 1.6 to 2.2). CONCLUSION: South Africa has high levels of HIV, hypertension, diabetes and arthritis, by international standards, and these are reflected in the most prevalent condition combinations. However, less prevalent conditions such as COPD, stroke and IHD contribute disproportionately to the multimorbidity burden, with high rates of comorbidity. This modelling approach can be used in other settings to characterise the most important disease combinations and levels of comorbidity.

Inflammatory Arthritis in Systemic Sclerosis: Its Epidemiology, Associations, and Morbidity.

OBJECTIVE: To describe the epidemiology, associations, and impact of inflammatory arthritis (IA) in systemic sclerosis (SSc). METHODS: Patients with SSc prospectively enrolled in the Australian Scleroderma Cohort Study were included. IA was defined clinically as the presence of synovitis on examination. Logistic regression was used to determine the associations of IA with SSc manifestations and serological parameters. Patient-reported outcome measures were used to capture physical function and health-related quality of life (HRQoL). RESULTS: IA was a common SSc manifestation affecting one-third (33.3%) of patients over a median follow-up of 4.3 (1.7-8.4) years. Associations of IA included diffuse SSc (odds ratio [OR] 1.33, 95% confidence interval [95% CI] 1.01-1.74, P = 0.042), concurrent musculoskeletal manifestations (joint contractures and tendon friction rubs, OR 1.70, 95% CI 1.34-2.15, P < 0.001); myositis (OR 2.11, 95% CI 1.39-3.20, P < 0.001), and sicca symptoms (OR 1.57, 95% CI 1.14-2.16, P = 0.006), whereas IA was negatively associated with pulmonary arterial hypertension (OR 0.52, 95% CI 0.35-0.78, P = 0.002). Neither the presence of rheumatoid factor nor U1 small nuclear RNP were associated with IA (OR 1.13, 95% CI 0.88-1.44, P = 0.331, OR 1.46, 95% CI 0.89-2.39, P = 0.129 respectively). Positive anticyclic citrullinated protein antibodies, although at low frequency, were more common in those with IA compared with those without IA (7.5% vs 1.5%, P < 0.001). IA was associated with significantly lower HRQoL score (P < 0.001) and more physical disability than in those without IA (P < 0.001). CONCLUSION: IA is a common disease manifestation that is more frquently seen in diffuse disease. IA is associated with poor HRQoL and physical disability. Further research is needed into the effective management of IA in SSc.

Impact of frailty severity and severe pain on cognitive function for community-dwelling older adults with arthritis: a cross-sectional study in Korea.

Pain is a major symptom of arthritis in older adults, often leading to frailty and cognitive decline. However, few studies have investigated the relationship among pain, frailty, and cognitive function in older adults with arthritis. This study aimed to investigate the factors influencing cognitive function and the impact of frailty severity and pain on cognitive function in older adults with arthritis using a Korean population-based dataset. This cross-sectional descriptive study involved the secondary data of 1089 participants from the seventh and eighth waves of the Korean Longitudinal Study on Aging. We examined general characteristics, health behaviors, health conditions (including severe pain and frailty), and cognitive function. Participants were categorized based on the presence or absence of pain severity and frailty status as follows: robust, only severe pain, only prefrail, prefrail with severe pain, only frail, and frail with severe pain. Multiple linear regression analysis was performed to establish correlations between groups and cognitive function. The only-prefrail group was the largest (19.7%) among participants experiencing either pain or frailty. Advanced age, sex, level of education, and visual and hearing impairments were significantly associated with cognitive function. Compared to the robust group, only prefrail (ß = -1.54, confidence interval [CI] = - 2.33; - 0.76), prefrail with severe pain (ß = - 2.69, CI = - 3.52; - 1.87), only frail (ß = - 4.02, CI = - 5.08; - 2.97), and frail with severe pain (ß = - 5.03, CI = - 5.99; - 4.08) groups were associated with lower Mini-Mental State Examination scores. The study confirmed that severe pain alone does not significantly impact cognitive function in older adults with arthritis. To prevent cognitive decline in this group, assessment of both pain and frailty severity is essential to predict high-risk groups and provide appropriate interventions, such as transfer to hospitals or primary clinics according to the severity of pain and frailty.

The interaction of perfluoroalkyl acids and a family history of diabetes on arthritis: analyses of 2011-2018 NHANES.

Whether a family history of diabetes (FHD) and exposure to perfluoroalkyl acids (PFAAs) are correlated with an increased risk of developing arthritis remains unclear. This cross-sectional study was conducted to explore the correlations between FHD or exposure to PFAAs and arthritis as well as their interaction using the National Health and Nutrition Examination Survey (NHANES). In total, 6,194 participants aged ≥ 20 years from the 2011-2018 NHANES were enrolled. PFAAs are a cluster of synthetic chemicals, including perfluorononanoic acid (PFNA), perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluorodecanoic acid (PFDA) and perfluorohexane sulfonic acid (PFHxS). FHD was evaluated using self-reported questionnaires. Arthritis was classified into three types, rheumatoid arthritis (RA), osteoarthritis (OA), and others, which were diagnosed using questionnaires. Generalized linear models (GLMs) were used to test the correlation between FHD and arthritis. To examine the joint effects of PFAAs and FHD on arthritis, interaction terms were applied in the GLM. Arthritis incidence was 26.7% among all participants. FHD was associated with both RA [OR = 1.70 (95% CI: 1.15-2.50)] and other types of arthritis [OR = 1.62 (95% CI: 1.21-2.16)]. However, the relationship between FHD and OA was not significant after adjustment (P = 0.18). Interaction outcomes indicated that higher PFDA levels increased the association between FHD and arthritis. FHD is associated with an increased incidence of arthritis, which may be increased by PFDA. Given the heavy burden of arthritis, preventive measures for arthritis and reduction of PFAAs exposure for patients with FHD are required.

Predicting comorbid mental health difficulties in people with autoimmune arthritis.

Little is known about variables impacting the association between mental health difficulties and autoimmune conditions. This study investigates whether, age of onset, adverse childhood experiences (ACEs), and 'illness invisibility' predict comorbid mental health difficulties in people with autoimmune arthritis. Participants with autoimmune arthritis (N = 209) were recruited via social media platforms. Age of onset of arthritis and the temporal order of mental health difficulties (if applicable) were collected alongside a measure of personality and ACEs. A novel measure of illness invisibility was developed for this study. A cross-sectional mixed-subject design was utilised. 53.5% of the sample endorsed lifetime mental health difficulties. Logistic regression analyses revealed participants with a younger age of onset of arthritis had significantly higher odds of developing a mental health problem (OR 0.93, 95% CI 0.90-0.96). Independently, Illness Invisibility, endorsed by 89.9% of participants, significantly predicted postmorbid mental health difficulties (OR 1.08, 95% CI 1.01-1.19). Adverse Childhood Experiences were frequently endorsed within the sample with 37.8% reporting ≥ 3 cumulative ACEs. Every unit increase in ACEs increased the odds of having comorbid mental health difficulties (OR 1.27, 95% CI 1.09-1.47). Young people who are diagnosed with autoimmune arthritis maybe more likely to experience subsequent mental health difficulties. The 'invisibility' of their illness and exposure to ACEs also is associated with their risk for mental health complications. These findings highlight the importance of mental health screening for young people being investigated for arthritis and interdisciplinary care, especially for young people.

Is arthritis an associated risk factor for trigger finger occurrence after carpal tunnel release? A nationwide, population-based study in Korea.

PURPOSE: We hypothesized that increased friction between the flexor tendon and surrounding structures due to hand arthritis is an important risk factor for trigger finger (TF) after carpal tunnel release (CTR). Therefore, we compared TF development according to the presence or absence of arthritis in carpal tunnel syndrome (CTS) patients treated with CTR. METHODS: This retrospective study was based on data collected from the National Health Insurance Service-National Sample Cohort (NHIS-NSC) in the Republic of Korea between January 1, 2002, and December 31, 2015. Patients diagnosed with TF between one month and one year after the CTR date or with a history of surgery were included in the study. During subsequent follow-up, the patients were divided into subgroups of those (1) with TF and (2) without TF. Sex, age, arthritis, and TF-related comorbidities were compared between the subgroups. RESULTS: The subgroup with TF had a higher proportion of women (9.43% vs 90.57%), the highest age range between 50 and 59 years, more cases of arthritis (32.55% vs 16.79%), and a higher proportion of patients with hypothyroidism (10.85% vs 4.60%) than the group without TF. The association between arthritis and TF after CTR was examined using a multivariate logistic regression model, showing arthritis to be a significant risk factor for TF after CTR (odds ratio, 1.35; P = 0.049). CONCLUSIONS: We identified arthritis as an important risk factor for the development of TF after CTR.

Quality of Life and Disability in Chikungunya Arthritis.

BACKGROUND: Chikungunya virus infection, transmitted by Aedes mosquito vectors, causes outbreaks of chikungunya fever (CHIKF), throughout the tropical and subtropical world. Following acute infection, many CHIKF patients develop a second phase, chronic and disabling arthritis. OBJECTIVE: To evaluate the impact of chikungunya arthritis (CHIKA) on quality of life and disability in a cohort of Brazilian CHIKA patients. METHODS: We conducted a descriptive, non-interventionist, retrospective cross-sectional study analysing data collected from the medical records of chikungunya virus-infected patients treated between June 1, 2022, and June 30, 2022, in the Brazilian rheumatology clinic of one of us (JKA). To assess disability, quality of life, and pain, patients were evaluated using the Health Assessment Questionnaire Disability Index (HAQ-DI), 12-Item Short-Form Health Survey (SF-12), and Visual Analog Scale (VAS) pain. RESULTS: Forty-two women with a mean (± SD) age of 57.83 (± 13.05) years had CHIKF confirmed by chikungunya-specific serology. The mean (± SD) time between the onset of chikungunya symptoms and the first clinic visit was 55.19 (± 25.88) days. At this visit, the mean (± SD) VAS pain score and DAS28-ESR were 77.26 (± 23.71) and 5.8 (± 1.29), respectively. The mean (± SD) HAQDI score was 1.52 (± 0.67). The mean (± SD) SF-12 PCS-12 was 29.57 (± 8.62) and SF-12 MCS-12 was 38.42 (± 9.85). CONCLUSION: CHIKA is often highly disabling. As the mosquito vectors that transmit this illness have spread to every continent except Antarctica, there is a potential for widespread public health impact from CHIKA and the need for more effective, early intervention to prevent CHIKA.

Prevalence Estimates of Arthritis and Activity-Limiting Pain Among Family Caregivers to Older Adults.

BACKGROUND AND OBJECTIVES: Little is known about the prevalence of physical pain among family caregivers to older adults. We used national survey data to assess the relative prevalence of caregivers' arthritis and activity-limiting bothersome pain by caregiver and care-recipient characteristics to identify which caregivers may be at a higher risk for physical pain. RESEARCH DESIGN AND METHODS: We analyzed data collected from 1,930 caregivers who participated in the National Study on Caregiving (2017). We utilized modified Poisson models to estimate adjusted associations of caregiver and care-recipient characteristics with the relative prevalence of arthritis and bothersome pain. RESULTS: Forty percent of caregivers had a lifetime diagnosis of arthritis. Seventy-five percent of caregivers with arthritis reported bothersome pain, nearly 30% of whom endorsed bothersome pain that limited their activities on most or every day of the previous month (i.e., activity-limiting bothersome pain). Regardless of whether they had arthritis, 51% of the sample reported bothersome pain in the previous month, 24% of whom indicated activity-limiting bothersome pain. Caregivers who were older or more highly educated had a higher prevalence of arthritis. Black caregivers had a lower prevalence of arthritis and activity-limiting bothersome pain compared to White caregivers. Caregivers with physical difficulty providing care had a higher prevalence of arthritis and activity-limiting bothersome pain than caregivers without physical difficulty providing care. DISCUSSION AND IMPLICATIONS: Arthritis and activity-limiting bothersome pain are highly prevalent among caregivers. Given increased prevalence of pain among certain caregivers, it may be efficient to target these groups for pain management interventions.

Social determinants of health in patients with arthritis: a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System.

CONTEXT: Social determinants of health (SDOH) are economic, social, and political conditions that affect a person's overall health or the health of a group of people. Researchers have investigated the effects of SDOH on various diseases, such as asthma, obesity, and chronic stress, but few publications have been made regarding its effects on arthritis. OBJECTIVES: Our primary objective was to analyze the implications of SDOH on disease severity relating to pain levels and limitations experienced among people with diagnosed arthritis. METHODS: We performed a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System (BRFSS). We included individuals who reported having arthritis, were over the age of 45, and who also completed the SDOH module. Pain scores from the four-question Arthritis Burden Module were correlated to question responses pertaining to SDOH to determine their associations. RESULTS: For the analysis, our sample size was 25,682, with response rates varying slightly among the SDOH questions. Individuals diagnosed with arthritis were more likely to report functional limitations if they experienced food insecurity (χ2=234.0, p<0.001), financial instability (χ2=149.7, p<0.001), or frequent stress (χ2=297.6, p<0.001). Further, we found that individuals with arthritis experiencing any domain of SDOH reported higher mean pain scores than those not experiencing that domain, with the highest pain score difference among those reporting frequent stress (Coefficient: 1.93, CI=1.74-2.13, t=19.43, p<0.001). CONCLUSIONS: Our results show that SDOH profoundly impact pain levels and limitations experienced by patients with arthritis. Although work has already begun to help alleviate burdens associated with SDOH, more research and actions are required to create equitable health throughout the population.

Comparison of reporting rates of arthritis and arthralgia following AstraZeneca, Pfizer-BioNTech, Moderna, and Janssen vaccine administration against SARS-CoV-2 in 2021: analysis of European pharmacovigilance large-scale data.

This study aimed to investigate the reporting rates of arthritis and arthralgia following the administration of four vaccines against SARS-CoV-2: Pfizer-BioNTech (Tozinameran), Moderna (CX-024414), AstraZeneca (Chadox1 NCOV-19), and Janssen (AD26.COV2.S) in 2021. We used data from the EudraVigilance database, specifically analyzing spontaneous reports of suspected adverse reactions (ADRs) from the European Union (EU)/European Economic Area (EEA) region. Age-group-specific reporting rates were calculated by dividing the number of arthralgia and arthritis reports per 1,000,000 vaccine doses administered per age group. Reporting rates were compared using a rate ratio among the four vaccines, using the AstraZeneca vaccine as a comparator. The AstraZeneca vaccine was associated with the highest rate of arthralgia across all age groups. Arthritis reporting rates were significantly lower, with the AstraZeneca vaccine having the highest rates in most age groups, except the 60-69 and 80+ groups, where the Janssen and Pfizer-BioNTech vaccines demonstrated higher reporting rates, respectively. The distribution of arthritis rates did not follow the arthralgia pattern, being higher in the 50-79 age group. This study is the first spontaneous reporting system analysis of arthritis reporting rates post-SARS-CoV-2 vaccination at a European level, revealing a higher reporting of suspected musculoskeletal adverse reactions after AstraZeneca vaccination. The findings underscore the need to consider commonly reported events like arthralgia in risk-benefit assessments prior to vaccination against SARS-CoV-2. Given the high prevalence of rheumatic and musculoskeletal diseases and vaccine hesitancy in this population, our results could influence vaccine choice and acceptance.

Prevalence and risk factors for falls among community-dwelling adults in Riyadh area.

Objectives: This study aimed to assess fall prevalence, identify related risk factors, and establish cut-off scores for fall risk measures among community-dwelling adults in Riyadh region of Saudi Arabia. Methods: A cross-sectional study was conducted in community, Riyadh city, Saudi Arabia. A sample of 276 Saudi citizens aged ≥40 years who were able to read and write in Arabic. Fall history and number of falls in the past 12 months were determined via self-reports. Variables assessed included demographic information, self-reported chronic diseases, depressive symptoms, and back pain severity. Results: Participants were classified as either fallers (n = 28, 10.14%) or non-fallers. Fallers were more likely to have arthritis (odds ratio [OR]: 7.60, p = 0.001), back pain (OR: 5.22, p = 0.002), and higher depressive symptom scores (OR: 1.09, p = 0.013) than non-fallers. The number of reported falls was significantly associated with an elevated body mass index (incidence rate ratio [IRR]: 1.09, p = 0.045), arthritis (IRR: 8.74, p < 0.001), back pain (IRR: 4.08, p = 0.005), neurological diseases (IRR: 13.75, p < 0.007), and depressive symptoms (IRR: 1.08, p = 0.005). Cut-off scores predictive of falls associated with back pain and depressive symptoms were 1.5 (sensitivity: 0.61; specificity: 0.79; area under the curve [AUC]: 0.70) and 11.5 score (sensitivity: 0.57; specificity: 0.76; AUC: 0.66), respectively. Conclusions: The prevalence of falls was relatively low among the individuals considered in this study. Chronic conditions, back pain severity, and depressive symptoms were determined to be associated with falls among community-dwelling individuals in Saudi Arabia.