Diagnostic accuracy of self-reported arthritis in the general adult population is acceptable

Association between conicity index (C-index), relative fat mass (RFM), and osteoarthritis (OA): evidence from NHANES 2003-2018

BACKGROUND

Obesity is considered an important risk factor for osteoarthritis (OA), with conicity index (C-index), relative fat mass (RFM) are two novel anthropometric measures of obesity. To investigate the association between OA and these two indicators, we conducted this study.

METHODS

We used data from the National Health and Nutrition Examination Survey (NHANES) to investigate the association between C-index, RFM, and OA. First, the participants were divided into two groups according to whether they had OA, and we compared the baseline characteristics of the two groups. Then, C-index and RFM were divided into quartiles (Q1, Q2, Q3, Q4) for multivariate regression analysis. Additionally, we applied restricted cubic spline (RCS) to assess whether the relationship is non-linear. Finally, we conducted a subgroup interaction analysis to investigate whether this relationship varies across different subgroups.

RESULTS

The study included 34,707 participants, with a weighted OA prevalence of 7.7%. Significant differences in C-index and RFM were observed between OA and non-OA groups. Treating C-index and RFM as categorical variables, logistic regression showed significantly higher OA risk in Q4 compared to Q1: for C-index, Q4 (OR = 1.60; 95% CI: 1.33-1.93; P < 0.001); for RFM, Q4 (OR = 2.07; 95% CI: 1.57-2.73; P < 0.001). The RCS results show that the relationship between C-index and OA is non-linear, while the relationship between RFM and OA is linear. Subgroup interaction analysis showed some interaction effects.

CONCLUSIONS

This study reveals detailed relationships between C-index, RFM, and OA, which may be better indicators of obesity in assessing OA risk.

Comparison of health measures between survey self-reports and electronic health records among Millennium Cohort Study participants receiving Veterans Health Administration care

BACKGROUND

Surveys are a useful tool for eliciting self-reported health information, but the accuracy of such information may vary. We examined the agreement between self-reported health information and medical record data among 116,288 military service members and veterans enrolled in a longitudinal cohort.

METHODS

Millennium Cohort Study participants who separated from service and registered for health care in the Veterans Health Administration (VHA) by September 18, 2020, were eligible for inclusion. Baseline and follow-up survey responses (2001-2016) about 39 medical conditions, health behaviors, height, and weight were compared with analogous information from VHA and military medical records. Medical record diagnoses were classified as one qualifying ICD code in any diagnostic position between October 1, 1999, and September 18, 2020. Additional analyses were restricted to medical record diagnoses occurring before survey self-report and using specific diagnostic criteria (two outpatient or one inpatient ICD code). Positive, negative, and overall (Youden's J) agreement was calculated for categorical outcomes; Bland-Altman plots were examined for continuous measures.

RESULTS

Among 116,288 participants, 71.8% self-reported a diagnosed medical condition. Negative agreement between self-reported and VHA medical record diagnoses was > 90% for most (80%) conditions, but positive agreement was lower (6.4% to 56.3%). Mental health conditions were more frequently recorded in medical records, while acute conditions (e.g., bladder infections) were self-reported at a higher frequency. Positive agreement was lower when analyses were restricted to medical record diagnoses occurring prior to survey self-report. Specific diagnostic criteria resulted in higher overall agreement.

CONCLUSIONS

While negative agreement between self-reported and medical record diagnoses was high in this population, positive and overall agreement were not strong and varied considerably by health condition. Though the limitations of survey-reported health conditions should be considered, using multiple data sources to examine health outcomes in this population may have utility for research, clinical planning, or public health interventions.

The association between endogenous sex hormones and knee osteoarthritis in women: A population-based cohort study

BACKGROUND

To describe the associations of endogenous sex hormones with the prevalence and occurrence of knee osteoarthritis (KOA) in women.

METHODS

We included 178,280 women (mean 56.0 years) from the UK Biobank who had data on sex hormone-binding globulin (SHBG), testosterone, or estradiol at baseline. Outcomes were the prevalence of KOA at baseline and incident KOA during the follow-up. We performed logistic regression and accelerated failure time models to explore the linear and nonlinear associations between endogenous sex hormone levels (per 1 standard deviation [SD] and in quartiles) and the prevalence and occurrence of KOA.

RESULTS

At baseline, women with higher testosterone levels were less likely to have KOA (odds ratios=0.91 per 1 SD increase in testosterone, 95% confidence interval 0.87-0.96). No evidence for disparity differences in SHBG or estradiol between women with and without KOA was found. For participants without KOA at baseline, the time to incident KOA was extended in women with higher testosterone at baseline (time ratio=1.04 per 1 SD increase in testosterone, 95% confidence interval 1.01-1.06) during a median follow-up of 13.6 years. We did not find evidence of nonlinear associations of sex hormones with the prevalence and occurrence of KOA after adjustment for multiple comparisons.

CONCLUSIONS

In middle-aged and older women, the risk of KOA is inversely associated with endogenous testosterone but not with SHBG or estradiol.

The projected burden of arthritis among adults and children in Australia to the year 2040: a population-level forecasting study

BACKGROUND

Understanding how many people could be living with arthritis in the future is essential for planning health service needs and national health workforce requirements, and for arthritis advocacy and policy development. This study aimed to forecast the size of different populations with arthritis in Australia and associated health system expenditure, up to the year 2040.

METHODS

In this population-level forecasting study for Australia, prevalence data for arthritis, osteoarthritis, and rheumatoid arthritis were obtained from the Australian Bureau of Statistics 2022 National Health Survey. Prevalence rates for juvenile idiopathic arthritis were sourced from 2021 Census data. Overall, age-specific and sex-specific prevalence data were applied to national population projections to forecast arthritis, osteoarthritis, rheumatoid arthritis, and juvenile idiopathic arthritis populations for 2025, 2030, 2035, and 2040. The base case analysis considered medium population growth; sensitivity analyses considered low and high growth scenarios. Health system expenditure data from the Australian Institute of Health and Welfare were extrapolated to base case projections for the years 2025, 2030, 2035, and 2040, and were then inflated to future dollars. To understand the broader context and implications of our projections through the lens of lived experience, an arthritis consumer researcher and members of the Arthritis Australia Consumer Advisory Panel reviewed the arthritis burden estimates.

FINDINGS

With population growth and ageing, 5·39 million (95% CI 5·19-5·58) people are projected to have arthritis in Australia in 2040, representing an increase of 31% from 4·11 million (3·95-4·27) in 2025. By 2040, 3·11 million (2·99-3·23) people are expected to have osteoarthritis, 749 000 (652 000-846 000) are expected to have rheumatoid arthritis, and about 8500 children and adolescents are expected to have juvenile idiopathic arthritis. The age-standardised rate of osteoarthritis is forecast to increase for males from 6·28% in 2025 to 7·03% in 2040, and for females from 10·82% to 12·18% over this period. The age-standardised rate of rheumatoid arthritis is forecast to increase for males from 1·56% in 2025 to 1·75% in 2040, and for females from 2·62% in 2025 to 2·94% in 2040. Little change is anticipated in the number of children and adolescents with juvenile idiopathic arthritis (estimated at 8500 individuals in 2040). Based on current spending levels of AU$2100 per person with osteoarthritis and $1918 per person with rheumatoid arthritis, annual health system expenditure for osteoarthritis and rheumatoid arthritis is conservatively forecast to exceed AU$11·92 billion by 2040.

INTERPRETATION

Using the latest national-level data, this study has generated contemporary projections of the substantial burden of arthritis (both population size and health-care costs) in Australia. These projections underscore the importance of well-resourced health services that can capably deliver timely, high-value care to a growing number of people with arthritis.

FUNDING

Arthritis Australia and National Health and Medical Research Council.

New insights into the association between arthritis and overactive bladder in NHANES 2005-2020

Arthritis and overactive bladder (OAB) are both common diseases, but the association between them remains unclear. The aim of our research is to investigate the possible link with regard to arthritis and OAB. Our study's data was sourced from the National Health and Nutrition Examination Survey (NHANES) database from 2005 to 2020. The Overactive Bladder Symptom Score (OABSS) was used to diagnose OAB, while the health questionnaire was used to diagnose arthritis. This research utilized weighted logistic regression to evaluate the correlation between OAB and arthritis. To ensure the robustness of these results, subgroup analyses along with interaction tests were performed. Our research comprised 24,436 participants. After correcting for all covariates, we found a positive association between arthritis and OAB (OR = 1.37, 95% CI: 1.22, 1.54). Stratified by arthritis type, there was a positive association between osteoarthritis (OA) and OAB (OR = 1.40, 95% CI: 1.22, 1.62). Rheumatoid arthritis (RA) (OR = 1.20, 95% CI: 0.99, 1.46) and psoriatic arthritis (OR = 1.40, 95% CI: 0.75, 2.60) were not significantly correlated with OAB. This research demonstrated that arthritis was closely related to OAB. Additional research is required to confirm this association.

Associations between neutrophil percentage to albumin ratio and rheumatoid arthritis versus osteoarthritis: a comprehensive analysis utilizing the NHANES database

Objectives

The association between the neutrophil percentage to albumin ratio (NPAR) and the risk of osteoarthritis (OA) and rheumatoid arthritis (RA) remains unclear. This study aims to investigate the association between NPAR and the risk of OA and RA.

Methods

This cross-sectional study analyzed data from 92,062 American adults in the NHANES database between 1999 and 2016. Various statistical analyses were conducted to investigate the associations between NPAR and the risks of OA and RA, including multivariable logistic regression, subgroup analysis, smooth curve fitting, and threshold effect analysis.

Results

After screening, the final study population included 36,147 participants, with 3,881 individuals diagnosed with OA and 2,178 with RA. After adjusting for confounding factors, higher NPAR levels were associated with an increased risk of RA (OR=1.05; 95% CI: 1.03-1.07; P <0.0001), but not with OA (OR=1.01; 95% CI: 0.99-1.02; P =0.755). This association was remarkably consistent across subgroups by age, sex, body mass index (BMI), alcohol consumption, hypertension, diabetes, and smoking status. Further analyses using curve fitting and threshold effect models revealed a nonlinear association between NPAR and RA, with an inflection point identified at 15.56.

Conclusion

High levels of NPAR is positively associated with the prevalence of RA. This provides us with new insights for the management and treatment of RA patients.

Associations of arthritis with functional disability and depressive symptoms in general US adults: NHANES 1988-1994 and 1999-2018

Objectives

This study aimed to examine the associations of arthritis with functional disability and depressive symptoms among general US adults. Additionally, it explored the relationship between radiographic knee osteoarthritis (assessed by X-ray examination) and functional disability. Above findings seek to highlight the need for comprehensive physical and mental health management in individuals with arthritis.

Methods

We designed a cross-sectional study utilizing multivariable logistic regression models to examine the associations. Odds ratios (OR) and corresponding 95% confidence intervals (CI) were documented in a crude model and three adjusted models. Participants were from the National Health and Nutrition Examination Survey (NHANES) 1988-1994 and 1999-2018. Arthritis was self-reported or graded by the Kellgren-Lawrence score after an objective X-ray examination. Functional disability included disability in activities of daily living (ADL disability), instrumental activities of daily living (IADL disability), and mobility disability. Depressive symptom was assessed using the Patient Health Questionnaire (PHQ).

Results

We included 22,566 older adults (≥60 years; 10,961 had self-reported arthritis) for functional disability analysis (2377 older adults with data on X-ray examination; 1012 had radiographic knee osteoarthritis) and 32,056 adults (≥20 years; 9175 had self-reported arthritis) for depressive symptom analysis. After controlling for all covariates, self-reported arthritis was associated with ADL disability (odds ratios [OR]: 2.677; 95% confidence interval [CI]: 2.499-2.868), IADL disability (OR: 2.064; 95% CI: 1.940-2.196), and mobility disability (OR: 2.954; 95% CI: 2.778-3.142), and depressive symptom (OR: 2.177; 95% CI: 1.979-2.395). In participants with data on X-ray examination, radiographic knee osteoarthritis was only associated with mobility disability (OR: 1.437; 95% CI: 1.183-1.744).

Conclusions

Self-reported arthritis was associated with ADL disability, IADL disability and mobility disability, and depressive symptoms. Among participants with X-ray data, radiographic knee osteoarthritis was only associated with mobility disability in general US adults. Appropriate managements of both physical and mental health are needed for individuals with arthritis.

Family History of Arthritis, Osteoporosis, and Carpal Tunnel Syndrome and Risk of These Conditions Among US Adults

OBJECTIVE

The aim was to estimate odds ratios (ORs) of associations between family history of arthritis, osteoporosis, and carpal tunnel syndrome and prevalence in a real-world population, uncovering family histories of related conditions that may increase risk because of shared heritability, condition pathophysiology, or social/environmental factors.

METHODS

Using data from 156,307 participants in the All of Us (AoU) Research Program, we examined associations between self-reported first-degree family history of five common types of arthritis (fibromyalgia, gout, osteoarthritis [OA], rheumatoid arthritis, and systemic lupus erythematosus [SLE]), osteoporosis, and carpal tunnel syndrome and prevalence. We evaluate associations across seven conditions and performed stratified analyses by race and ethnicity, sex, socioeconomic differences, body mass index, and type of affected relative.

RESULTS

More than 38% of AoU participants reported a family history of any arthritis, osteoporosis, or carpal tunnel syndrome. Adults with a family history of any arthritis, osteoporosis, and carpal tunnel syndrome exhibited 3.68 to 7.59 (4.90, on average) odds of having the same condition and 0.70 to 2.10 (1.24, on average) odds of having a different condition. The strongest associations observed were between family history of OA and prevalence of OA (OR 7.59; 95% confidence interval [95% CI] 7.32-7.88) and family history of SLE and prevalence of SLE (OR 6.34; 95% CI 5.17-7.74). We additionally uncover race and ethnicity and sex disparities in family history associations.

CONCLUSION

Family history of several related conditions was associated with increased risk for arthritis, osteoporosis, and carpal tunnel syndrome, underscoring the importance of family history of related conditions for primary prevention.

Association of prognostic nutritional index with the presence and all-cause mortality of rheumatoid arthritis: the National Health and Nutrition Examination Survey 2003-2018

BACKGROUND

The prognostic nutritional index (PNI) is a comprehensive measure of individual immune and nutritional status. This study aimed to evaluate the role of PNI in the presence and mortality of rheumatoid arthritis (RA).

METHODS

This study used data of participants aged ≥ 40 years from the National Health and Nutrition Examination Survey (NHANES) 2003-2018. PNI was calculated using serum albumin and lymphocyte count. The relationship between PNI and the prevalence of RA and mortality among RA patients was assessed using logistic and Cox regression models. Nonlinear associations were explored using restricted cubic splines (RCS).

RESULTS

Of 18,245 participants (mean 55.4 years, 49% female), 1901 had RA, among whom (480/1899, 25%) died during a median follow-up period of 84 months. PNI was inversely associated with the likelihood of having RA (odds ratio = 0.97, 95% confidence interval [CI]: 0.95-0.98). Compared to participants whose PNI was in the lowest quartile, those in other quartiles had a reduced likelihood of having RA by 21-38% (Ptrend <0.01). Cox regression analysis revealed an inverse association between PNI and all-cause mortality (hazard ratio = 0.95, 95%CI: 0.91-0.99). An L-shaped association was observed between PNI and the presence and all-cause mortality of RA, with turning points occurring around the mean value of PNI. The presence and all-cause mortality of RA was significantly reduced before the turning points of PNI and plateaued afterwards.

CONCLUSION

In middle-aged and older adults, there is an inverse association between PNI and the presence and all-cause mortality of RA.

Dyslipidemia induced inflammation mediated the association between obesity and Osteoarthritis: a population-based study

BACKGROUND

This study aims to evaluate the mediation effect of dyslipidemia induced inflammation on the causal associations between obesity and Osteoarthritis (OA).

METHODS

This cross-sectional study used data from the National Health and Nutrition Examination Survey (1999-2010). The association between general and abdominal obesity (exposure), OA (outcome) and mediators (total cholesterol, high-density lipoprotein, and C-reactive protein) was assessed using multivariate linear and logistic regression models and mediation analysis.

RESULTS

A total of 23,308 participants were enrolled in this study, and 2,180 were diagnosed with OA. Participants with obesity were more likely to have OA (general obesity: OR = 2.508, 95%CI: 1.602, 4.197, P < 0.001; abdominal obesity: OR = 3.814, 95%CI: 3.242, 4.509, P < 0.001) than those without the obesity. High quantile of total cholesterol (OR:1.399; 95%CI:1.235, 1.257; P < 0.001), high-density lipoprotein (OR:1.644; 95%CI:1.443, 1.874; P < 0.001) and C-reactive protein (OR:1.952; 95%CI:1.707, 2.237; P < 0.001) increased the risk of OA when compared to lowest quartile. In the linear regression, the betas varied from 0.668 (95%CI: 0.635, 0.741; P < 0.001) to 0.693 (95%CI: 0.674, 0.712; P < 0.001), suggesting that individual with obesity had higher C-reactive protein levels. Additionally, total cholesterol and high-density lipoprotein were associated with C-reactive protein. Mediation analyses showed that the causal association of obesity with OA risk was mediated by high-density lipoprotein and C-reactive protein, with the mediation proportion ranging from 17.216 to 45.058%. Moreover, high-density lipoprotein to C-reactive protein path acting as serial mediators in the associations between obesity and OA (general obesity: β = 0.012; 95%CI: 0.009-0.014; abdominal obesity: β = 0.011; 95%CI: 0.008-0.014).

CONCLUSION

The association between obesity and OA is partially mediated by systemic inflammation caused by dyslipidemia. Our study suggested anti-lipid therapy may be positive for obese individuals with OA.

Roles of low muscle strength and sarcopenic obesity on incident symptomatic knee osteoarthritis: A longitudinal cohort study

OBJECTIVES

Sarcopenia is prevalent in middle to old age. We aimed to investigate the association between muscle strength and the incident knee osteoarthritis (OA).

METHODS

12,043 participants were collected from the China Health and Retirement Longitudinal Study. The effects of sarcopenic obesity (defined by obesity in combination with possible sarcopenia) on knee OA onset were calculated using Poisson regression models. Mediation analysis was fit to estimate mediating proportion of muscle strength on the association between obesity and incident knee OA.

RESULTS

The study all enrolled 12,043 participants with 2,008 progressed to knee OA. Poisson analyses demonstrated causal association of general obesity (RR:1.23, 95% CI: 1.08 to 1.39) and abdominal obesity (RR:1.23, 95% CI: 1.11 to 1.35) with knee OA onset. For the risk of incident knee OA, participants with the highest level of normalized grip strength had a decreased risk of incident knee OA by 0.33 (RR:0.67, 95% CI: 0.60 to 0.75) times compared to the control group, and chair-rising time was associated with increased risk of incident knee OA by 0.65 (RR:1.65, 95% CI: 1.17 to 2.33) times. Sensitivity analysis identified similar results. Participants with sarcopenic obesity were about 2 times risk of incident knee OA than reference group. Normalized grip strength and chair-rising time mediated the association between obesity and incidence of knee OA.

CONCLUSIONS

Sarcopenic obesity is correlated with an increased risk of knee OA. Muscle strength recovery may alleviate the risk of incident knee OA in middle to old age with obesity.

Mediating role of depression in linking rheumatoid arthritis to all-cause and cardiovascular-related mortality: A prospective cohort study

OBJECTIVE

This study aimed to analyze the associations between rheumatoid arthritis (RA) and all-cause mortality and cardiovascular disease (CVD)-related mortality using data from the National Health and Nutrition Examination Survey (NHANES) and examine the potential mediating role of depression in these correlations.

METHODS

19,165 participants across five NHANES cycles from 2007 to 2016 participated in this study. Multifactorial Cox regression models between RA, depression and two mortality outcomes and multifactorial regression models between RA and depression were constructed to examine their associations. The mediating role of depression has also been investigated.

RESULTS

The prevalence of RA in this study was 6.57 %, the all-cause mortality of RA patients was 20.57 %, and the CVD-related mortality was 6.12 %. In the fully adjusted model, RA was associated with all-cause mortality [hazard ratio (HR) = 1.28, 95 % confidence interval (CI) = 1.12 to 1.48] and CVD-related mortality (HR = 1.33, 95 % CI = 1.03 to 1.72), without detectable interaction among subgroups (P for interaction >0.05). RA also had a positive correlation with depression. Depression score demonstrated pronounced mediating effects in the connections between RA and two types of mortality, with mediation ratios of 18.2 % and 18.9 %.

LIMITATIONS

The diagnosis of RA is self-reported and may be subject to recall bias.

CONCLUSIONS

RA was positively correlated with the risk of all-cause mortality and CVD-related mortality. Depression partially mediates these associations. Close attention to and active improvement of mental health in RA patients will be critical to decrease all-cause mortality and CVD-related mortality.

Old Before Their Time? The Impact of Osteoarthritis on Younger Adults

OBJECTIVE

Osteoarthritis (OA) is frequently perceived as a disease of the elderly and an inevitable result of aging. Because OA studies often are restricted to older adults, there is limited information on OA in younger adults. This study describes the burden of OA across a wide age range and compares younger and older adults.

METHODS

Descriptive analysis of the Survey on Living with Chronic Diseases in Canada - Arthritis Component, a nationally representative survey of Canadians ≥20 years who reported an arthritis diagnosis in the Canadian Community Health Survey, a general health population survey. Analyses were restricted to those reporting OA and no other kind of arthritis (n = 1,749).

RESULTS

In the representative group with OA, 55.4% were younger than 65 years. The mean age at diagnosis was 50 years, with 30.4% reporting being diagnosed before age 45 years. Younger adults reported similar symptom severity as their older counterparts with OA regarding the mean number of affected joint sites, severity of pain and fatigue, and activity limitations. In the youngest age group, those with OA were significantly more likely to report fair or poor overall and mental health and life dissatisfaction compared with their general counterparts; the same was not the case in the oldest age group.

CONCLUSION

OA is not uncommon among younger and middle-aged adults, and they experience OA impacts comparable with those for older adults. These findings suggest that younger adults with OA will live many years with symptoms and disability and highlight a need for effective OA management across ages.

Arthritis increases the risk of erectile dysfunction: Results from the NHANES 2001-2004

Objective

This study assessed the association between erectile dysfunction (ED) and arthritis.

Methods

Weighted logistic regression and subgroup analyses were used to investigate the association between arthritis incidence and ED among participants in the 2001-2004 National Health and Nutrition Examination Survey database.

Results

Among the participants, 27.8% and 18.5% had a self-reported history of ED and arthritis, respectively. ED was associated with arthritis (odds ratio [OR]=4.00; 95% confidence interval [CI]: 3.20-4.99; p<0.001], which remained significant after adjustment (OR=1.42, 95% CI: 1.00-1.96; p<0.001). Stratified by type of arthritis, after full adjustment, osteoarthritis remained significant (OR=1.11; 95% CI: 1.03-1.20; p=0.017), and rheumatoid arthritis (OR=1.03, 95% CI: 0.93-1.13; p= 0.5) and other arthritis (OR=1.04, 95% CI: 0.98-1.11; p=0.2) were not significantly correlated with ED. Multiple inference analyses confirmed the robustness of the results.

Conclusion

Our study showed that arthritis was strongly associated with ED. There is an urgent need to raise awareness and conduct additional research on the reasons behind this association in order to implement more scientific and rational treatment programs for patients with ED and arthritis.

Validation of self-reported morbidities in the Korean Atomic Bomb Survivor Cohort

OBJECTIVES

This study aimed to evaluate the agreement of disease status collected through a survey of the Korean Atomic Bomb Survivor Cohort (K-ABC), compared with medical claim records from the Korean National Health Insurance Service (NHIS) database and the Korean Central Cancer Registry (KCCR).

METHODS

Data on the lifetime physician-diagnosed morbidities of 1,215 K-ABC participants were collected through an interviewer-administered questionnaire between 2020 and 2022. Survey data were linked to the NHIS and KCCR databases. Eleven diseases were included for validation. We evaluated the following indicators: sensitivity, specificity, positive predictive value, negative predictive value, accuracy, the area under the curve, and the kappa coefficient.

RESULTS

The mean±standard deviation age was 62.1±18.7 years, and 42.6% of the participants were aged ≥70 years. Hypertension and cataracts showed the highest prevalence rates (33.8 and 28.8%, respectively). Hypertension, diabetes, and cancer demonstrated high sensitivity (>0.8) and specificity (>0.9), whereas diabetes, cancer, myocardial infarction, angina pectoris, and asthma exhibited high accuracy (>0.9). In contrast, arthritis, allergic rhinitis, and asthma showed low sensitivity (<0.4) and kappa values (<0.3). In the participants aged ≥70 years, the kappa value was ≥0.4 for all diseases except arthritis, allergic rhinitis, and asthma.

CONCLUSIONS

The results from this initial analysis showed relatively high agreement between the survey and NHIS/KCCR databases, especially for hypertension, diabetes, and cancer. Our findings suggest that the information on morbidities collected through the questionnaires in this cohort was valid for both younger and older individuals.

Weight change patterns across adulthood are associated with the risk of osteoarthritis: a population-based study

BACKGROUND

Body weight has been recognized as a driving factor of osteoarthritis. Few studies had investigated the association between weight status across adulthood and risk of osteoarthritis (OA). This study investigates the association of weight change patterns across adulthood (lasting at least 25 years) with the risk of OA from the National Health and Nutrition Examination Survey (NHANES) 2013-2018.

METHODS

The study assessed the relationship between weight change across adulthood and OA in 7392 individuals aged > 50 spanning a minimum of 25 years. Multivariate linear regression analyses were utilized to detect the association between weight change patterns and self-reported OA. Restricted cubic splines (RCS) were used to examine the nonlinear relationship between absolute weight change and OA risk.

RESULTS

From 10 years ago to survey, the risk of OA was 1.34-fold (95% CI 1.07-1.68) in people changed from obese to non-obese, 1.61-fold (95% CI 1.29-2.00) in people change from non-obese to obese, and 1.82-fold (95% CI 1.49-2.22) in stable obese people compared with people who were at stable normal weight. Similar patterns were also observed at age 25 years to baseline and age 25 years to 10 years before the baseline. The dose-response association of RCS found a U-shaped relationship between absolute weight change and OA risk.

CONCLUSIONS

The study suggests that weight patterns across adulthood are associated with the risk of OA. These findings stressed important to maintain a normal weight throughout adulthood, especially to prevent ignored weight gain in early adulthood to reduce OA risk later.

Association between oxidative balance score and rheumatoid arthritis in female: a cross-sectional study

OBJECTIVE

Although oxidative stress is a recognized factor of inflammation, the correlation between oxidative balance score (OBS), a biomarker indicating the balance of oxidation and antioxidant, and rheumatoid arthritis (RA), an immune system disease that tends to occur in women, remains unexplored. Hence, the aim of this study was to investigate the potential association between OBS and RA in women.

METHODS

Observational surveys were performed by employing information extracted from the National Health and Nutrition Examination Survey (NHANES) for the period 2007-2018. Various statistical techniques were employed to investigate the association between OBS and RA, encompassing multivariable logistic regression analysis, subgroup analyses, smooth curve fitting, and threshold effect analysis.

RESULTS

The study included 8219 female participants, including 597 patients with RA. The results showed that higher Total OBS (TOBS) significantly correlated with lower RA prevalence in the entirely modified model [odd ratio (OR) = 0.968; 95% confidence interval (CI) = 0.952 to 0.984; P = 0.0001]. Dietary OBS (DOBS) and lifestyle OBS (LOBS) also negatively correlated with RA. This association was remarkably consistent across TOBS subgroups by age, race, education level, family poverty-to-income ratio (PIR), hypertension and diabetes. Smooth curve fitting and threshold effect analysis also revealed the linear relationship between OBS and RA.

CONCLUSIONS

Overall, OBS was negatively associated with RA in female. This study suggested that an antioxidant diet and lifestyle may be promising measures to prevent RA in female.

Lifestyle behaviour changes associated with osteoarthritis: a prospective cohort study

The aim of this prospective cohort study was to compare changes in lifestyle behaviours over nine years in women who were and were not diagnosed with osteoarthritis (OA). Data were from the 1945-51 cohort of the Australian Longitudinal Study on Women's Health (aged 50-55 in 2001) who completed written surveys in 2001, 2004, 2007 and 2010. The sample included 610 women who were, and 3810 women who were not diagnosed with OA between 2004 and 2007. Descriptive statistics were used to assess changes in lifestyle behaviours (weight, sitting time, physical activity, alcohol and smoking) in the two groups, over three survey intervals: from 2001-2004 (prior to diagnosis); from 2004-2007 (around diagnosis); and from 2007-2010 (following diagnosis). Compared with women without OA (28%), a greater proportion of women with OA (38%) made at least one positive lifestyle change (p < 0.001). These included losing > 5 kg (9.8% vs. 14.4%, p < 0.001), and reducing sitting time by an hour (29.5% vs. 39.1%, p < 0.001) following diagnosis. However, women with OA also made negative lifestyle changes (35% vs. 29%, p < 0.001), for example, gaining > 5 kg around the time of diagnosis (21.4% vs. 14.5%, p < 0.001) and increasing sitting time by an hour following diagnosis (38.4% vs. 32.3%, p = 0.003). More women with OA also started smoking following diagnosis (8.9% vs. 0.8%, p < 0.001). While some women made positive changes in lifestyle behaviours during and following OA diagnosis, others made negative changes. Consistent support from clinicians for managing OA symptoms may enable patients to make more positive changes in lifestyle behaviours.

Prevalence of Steatotic Liver Disease Among US Adults with Rheumatoid Arthritis

BACKGROUND

The prevalence of steatotic liver disease (SLD) among patients with rheumatoid arthritis (RA) remains largely unknown.

AIMS

To investigate the prevalence of SLD and liver fibrosis among patients with RA.

METHODS

We utilized data from the United States (US)-based National Health and Nutrition Examination Survey (NHANES) 2017-2020 cycle. After applying established sample weights, we estimated the age-adjusted prevalence of SLD and its subclassifications (CAP ≥ 285 dB/m), high-risk NASH (FAST score) and liver fibrosis (LSM) among participants with self-reported RA. Multivariable logistic regression was performed to identify independent risk factors for metabolic dysfunction associated SLD (MASLD), high-risk NASH and fibrosis, respectively, among participants with RA. We present adjusted odds ratios (aORs) and 95% confidence intervals (CIs).

RESULTS

Age-adjusted prevalence of MASLD among US adults with RA was 34.91% (95% CI: 24.02-47.65%). We also found that the age-adjusted prevalence of high-risk NASH (FAST score > 0.35) and significant fibrosis (LSM > 8.6 kPa) was 12.97% (95% CI: 6.89-23.07%) and 10.35% (95% CI: 5.55-18.48%), respectively. BMI ≥ 30 kg/m2, (aOR 6.23; 95% CI: 1.95-19.88), diabetes (aOR 5.90; 95% CI: 1.94-17.94), and dyslipidemia (aOR 2.83; 95% CI: 1.12-7.11) were independently associated with higher odds of MASLD among participants with RA. Diabetes (aOR 19.34; 95% CI: 4.69-79.70) was also independently associated with high-risk NASH.

CONCLUSIONS

The prevalence of MASLD, high-risk NASH, and liver fibrosis among patients with RA is equal or higher than the general population. Future studies of large cohorts are needed to substantiate the role of systemic inflammation in the pathophysiology of MASLD.

The association between remnant cholesterol and rheumatoid arthritis: insights from a large population study

OBJECTIVES

While lipid metabolism disorder is widely acknowledged as a contributing factor to inflammation, the association between remnant cholesterol (RC), which indicates lipid metabolism, and rheumatoid arthritis (RA) has not been investigated. Accordingly, this study evaluated whether RC is associated with RA disease events.

METHODS

Data were collected and specifically extracted from the National Health and Nutrition Examination Survey (NHANES) 1999-2008 database. The RC value was derived by subtracting the combined amount of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) from the total cholesterol (TC). The association between RC and RA was evaluated using multivariate regression analysis and subgroup analysis.

RESULTS

The study analyzed 7777 patients, of which 581 patients (7.47%) were diagnosed with RA. After accounting for different covariates, the multivariate logistic regression analysis revealed a notable correlation between increased RC levels and an increased likelihood of RA (odds ratio OR = 1.54; 95% confidence interval CI: 1.11-2.13; P = 0.0092). The interaction test did not yield statistically significant effects on this association. The linear correlation between RC and RA was observed within restricted cubic spline regression model limitations.

CONCLUSION

The results suggest that higher RC levels are associated with increased odds of RA, indicating that RC can serve as a novel and convenient index for forecasting the likelihood of RA in the United States. Additionally, these findings offer insights into early intervention strategies for susceptible populations at risk of developing RA.

Cross-Sectional and Longitudinal Associations of Comorbidities with Knee Symptoms and Radiographic Abnormalities of Osteoarthritis

INTRODUCTION

This study aimed to investigate the associations of comorbidities with knee symptoms and radiographic abnormalities of osteoarthritis (OA).

METHODS

Participants were from the Osteoarthritis Initiative. Comorbidities were identified at baseline using the modified Charlson Comorbidity Index. For both knees, symptoms were assessed annually from baseline to 48 months using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and function scores (rescaled range 0-100), and radiographic abnormalities using the Kellgren-Lawrence (KL, 0-4) grades. The presence of significant pain and functional disability was defined as a WOMAC score of ≥ 25 and ≥ 22, respectively, and radiographic OA (ROA) as KL ≥ 2. An increase of ≥ 9 in WOMAC scores and ≥ 1 in KL grades were defined as symptomatic and radiographic progression, respectively.

RESULTS

Of 3337 participants, 28% and 9% had one and ≥ 2 comorbidities, respectively. The number of comorbidities was associated with the presence of significant functional disability (odds ratios [ORs] 1.15; 1.46) and predicted the progression of both knee pain and functional disability (ORs 1.11; 1.51). For the type of comorbidities, non-OA musculoskeletal diseases were associated with the presence of ROA and significant functional disability (ORs 1.63; 1.82) and showed a trend to predict incident ROA (OR 1.84, 95% confidence interval 1.00-3.38 p = 0.051). Diabetes and kidney diseases were associated with symptomatic progression of OA (ORs 1.38; 2.72).

CONCLUSIONS

Having more comorbidities, especially diabetes and kidney diseases, is associated with symptomatic progression of knee OA. Moreover, non-OA musculoskeletal diseases may be associated with the presence and onset of ROA.

Associations of cereal fiber intake with rheumatoid arthritis mediated by dietary inflammatory index: insights from NHANES 2011-2020

Rheumatoid Arthritis (RA) is an increasingly prevalent inflammatory disorder worldwide. Its complex etiology has recently brought dietary factors, particularly fiber intake, into focus as potential influencers. Our study investigates the intricate relationship between various sources of dietary fiber and RA, emphasizing the mediating role of the Dietary Inflammatory Index (DII). Leveraging data from the National Health and Nutrition Examination Survey spanning 2011 to 2020. We meticulously assessed dietary fiber intake through dual 24 h dietary recall interviews, while RA diagnoses were established based on comprehensive medical surveys. The relationships between fiber intake, RA prevalence, and DII mediation were analyzed using sophisticated multivariate logistic regression and mediation analysis. Among our study cohort, 7% were diagnosed with RA. We observed a notable inverse correlation between increased total fiber intake, particularly 5 g/day increments, and the incidence of RA, with cereal fiber intake emerging as the primary mitigating factor. Intriguingly, the DII played a significant role in mediating this association, especially regarding cereal fiber. Our findings reveal a significant association between higher cereal fiber consumption and a reduced prevalence of RA. Additionally, the DII stands out as a pivotal mediator in this relationship, highlighting dietary management's critical role in preventing and managing RA.

A stronger association of depression with rheumatoid arthritis in presence of obesity and hypertriglyceridemia

Background

Rheumatoid arthritis (RA) is an autoimmune disorder characterized by chronic and systemic inflammation. Recent research underscores the role of chronic inflammation in multiple common RA comorbidities such as depression, obesity, and cardiovascular diseases (CVDs), suggesting a potential overlap of the pathogenic mechanisms for RA. However, it is not well understood how the coexistence of these comorbid conditions impacts the risk of RA and whether any such association relates to body's inflammatory state.

Methods

We used data from the 2007-2010 United States National Health and Nutrition Examination Survey (NHANES) database and compared RA prevalence between subsamples with the presence of any two conditions among depression, obesity, and hypertriglyceridemia (HTG). Each subsample was further divided into three categories based on the serum level of the inflammatory marker C-reactive protein (CRP) and analyzed for statistically significant differences using three-way χ2 tests of independence.

Results

The study was conducted on 4,136 patients who fulfilled the inclusion criteria (representing 163,540,241 individuals after adjustment for sampling weights). Rates of depression, obesity, and HTG were found to be significantly higher (P < 0.001) among the subjects with RA compared with the control population with no arthritis. The presence of depression along with obesity or HTG showed a noticeably higher RA prevalence but such an association was not observed for the combination of obesity and HTG. The synergistic effect of HTG with depression was found to be most prominent at a medium CRP level (1-3 mg/L), while for obesity, the effect was observed across all CRP levels examined. These findings were further confirmed by the three-way χ2 test for independence.

Conclusions

The presence of obesity or HTG in subjects suffering from depression might pose an increased risk of RA. Inflammatory mechanisms potentially play an important underlying role as suggested by the strong dependency of the association to CRP level. Identification of synergistic associations between RA risk conditions could provide useful information to predict the development and progress of RA.

Relationship between acrylamide and glycidamide hemoglobin adduct levels and osteoarthritis: a NHANES analysis

Osteoarthritis (OA) is the most prevalent degenerative joint disease, and acrylamide is a chemical produced when foods are processed at high temperatures. Recent epidemiological research linked acrylamide exposure from the diet and environment to a number of medical disorders. However, whether acrylamide exposure is associated with OA is still uncertain. This study was aimed at assessing the relationship between OA and hemoglobin adducts of acrylamide and its metabolite glycidamide (HbAA and HbGA). Data were taken from four cycles of the US NHANES database (2003-2004, 2005-2006, 2013-2014, 2015-2016). Individuals aged between 40 and 84 years who had complete information on arthritic status as well as HbAA and HbGA levels were eligible for inclusion. Univariate and multivariate logistic regression analysis s was performed to determine associations between study variables and OA. Restricted cubic splines (RCS) were used to examine non-linear associations between the acrylamide hemoglobin biomarkers and prevalent OA. A total of 5314 individuals were included and 954 (18%) had OA. After adjusting for relevant confounders, the highest quartiles (vs. lowest) of HbAA (adjusted odds ratio (aOR) = 0.87, 95% confidence interval (CI), 0.63-1.21), HbGA (aOR = 0.82, 95% CI, 0.60-1.12), HbAA + HbGA (aOR = 0.86, 95% CI, 0.63-1.19), and HbGA/HbAA (aOR = 0.88, 95% CI, 0.63--1.25) were not significantly associated with greater odds for OA. RCS analysis revealed that HbAA, HbGA, and HbAA + HbGA levels were non-linearly and inversely associated with OA (p for non-linearity < 0.001). However, the HbGA/HbAA ratio displayed a U-shaped relationship with prevalent OA. In conclusion, acrylamide hemoglobin biomarkers are non-linearly associated with prevalent OA in a general US population. These findings implicate ongoing public health concerns for widespread exposure to acrylamide. Further studies are still warranted to address the causality and biologic mechanisms underlying the association.

Psychotic-like experiences are associated with physical disorders in general population: A cross-sectional study from the NESARC II

BACKGROUND

Psychotic-like experiences (PLEs) constitute subthreshold symptoms of psychotic disorders, and belong to five distinct dimensions: Positive, Negative, Depressive, Mania and Disorganization. PLEs are associated with various psychiatric disorders. However, few studies examined their association with physical disorders.

OBJECTIVE

Our aims were (1) to assess the associations between various physical disorders and PLEs in a U.S. representative sample, and (2) to examine these associations according to the five dimensions of PLEs.

METHOD

We used data from the wave II (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-II), a large national sample representative of the US population (N = 34,653). Participants were assessed with the Alcohol Use Disorder and Associated Disabilities Interview Schedule 4. Twenty-two PLEs were examined. Lifetime prevalence and adjusted Odds-Ratio (aOR) reflecting the association of sixteen physical disorders (including notably metabolic conditions and heart diseases) with PLEs were calculated.

RESULTS

All studied physical disorders were associated with the presence of PLEs. Particularly the presence of any physical condition, any heart disease and diabetes were more frequent in participants with at least one PLE compared with the group without any PLE (aOR = 1.74, 95% CI = 1.62-1.87, aOR = 1.44, 95% CI = 1.33-1.55 and aOR = 1.38, 95% CI = 1.24-1.54, respectively). Almost all physical disorders were associated with the five dimensions of PLEs.

CONCLUSIONS

PLEs were associated with a large range of physical disorders, with a gradual dose effect. To assess PLEs in the general population could help with the screening of subjects with physical disorders.

Association between risk, duration and cause of hospitalisations in people with rheumatoid arthritis and multimorbidity in the UK Biobank and Scottish Early Rheumatoid Arthritis (SERA) cohorts: Longitudinal observational study

OBJECTIVES

To investigate association between presence of multimorbidity in people with established and early rheumatoid arthritis (RA) and risk, duration and cause of hospitalisations.

DESIGN

Longitudinal observational study.

SETTING

UK Biobank, population-based cohort recruited between 2006 and 2010, and the Scottish Early Rheumatoid Arthritis (SERA), inception cohort recruited between 2011 and 2015. Both linked to mortality and hospitalisation data.

PARTICIPANTS

4757 UK Biobank participants self-reporting established RA; 825 SERA participants with early RA meeting the 2010 ACR/EULAR classification criteria. Participants stratified by number of long-term conditions (LTCs) in addition to RA (RA only, RA + 1 LTC and RA + ≥ 2 LTCs) and matched to five non-RA controls.

MAIN OUTCOME MEASURES

Number and duration of hospitalisations and their causes. Incidence rate ratios (IRR) and 95% confidence intervals (CI) calculated using negative binomial regression models.

RESULTS

Participants with RA + ≥ 2 LTCs experienced higher hospitalisation rates compared to those with RA alone (UK Biobank: IRR 2.10, 95% CI 1.91 to 2.30; SERA: IRR 1.74, 95% CI 1.23 to 2.48). Total duration of hospitalisation in RA + ≥ 2 LTCs was also higher (UK Biobank: IRR 2.48, 95% CI 2.17 to 2.84; SERA: IRR 1.90, 95% CI 1.07 to 3.38) than with RA alone. Rate and total duration of hospitalisations was higher in UK Biobank RA participants than non-RA controls with equivalent number of LTCs. Hospitalisations for respiratory infection were higher in early RA than established RA and were the commonest cause of hospital admission in early RA.

CONCLUSIONS

Participants with established or early RA with multimorbidity experienced a higher rate and duration of hospitalisations than those with RA alone and with non-RA matched controls.

Global and Dimensions of Mental Health in Arthritis Patients

Arthritis is one of the main clusters of long-lasting musculoskeletal and joint disorders. Recently, there has been increasing interest in the impact of arthritis patients' mental health, which has mainly focused on depression and anxiety in clinical samples. However, much less is known about how domains of mental health based on the widely used 12-item version of the general health survey (GHQ-12) are affected by arthritis. The current research answered this question using confirmatory factor analysis, general linear models, and one-sample t-tests on a nationally representative sample from the United Kingdom with 5588 arthritis patients and 8794 participants indicating that they were not clinically diagnosed with arthritis. The current study found that (1) a total of three factors of GHQ-12 that are labeled GHQ-12A (social dysfunction and anhedonia; six items), GHQ-12B (depression and anxiety; four items), and GHQ-12C (loss of confidence; two items), and (2) both the global mental health and dimensions of mental health are negatively affected by arthritis. Clinicians could use the results from the present study to make better treatment decisions for patients with arthritis.

Association between 19 dietary fatty acids intake and rheumatoid arthritis: Results of a nationwide survey

BACKGROUND

The relationship between dietary fatty acid intakes and rheumatoid arthritis (RA) is unclear and the available studies have focused on only a few fatty acids. This study investigated the association between the intake of 19 dietary fatty acids and RA in U.S. adults.

METHODS

This cross-sectional study using nationally representative data from the 2010-2020 National Health and Nutrition Examination Survey (NHANES). Multivariate linear regression model, multivariate logic regression models, smoothing curve fitting, and two-segment linear regression model were used to explore the relationships between 19 dietary fatty acids intakes with high-sensitivity C-reactive protein (Hs-CRP) and RA risk.

RESULTS

A total of 16,530 participants were included (1053 participants with RA). Intake of hexadecanoic acid and octadecanoic acid were significantly associated with higher Hs-CRP levels, intake of hexadecenoic acid was significantly associated with higher RA risk, and intake of docosahexaenoic acid was significantly associated with lower RA risk. In addition, there was an inverted U-shaped relationship between total monounsaturated fatty acids (MUFAs) intake and RA risk, with the inflection point reached at 15.77% .

CONCLUSIONS

Among the 19 dietary fatty acids, only 4 subclasses were significantly associated with Hs-CRP or RA risk. The inverted U-shaped relationship between MUFAs and RA risk may provide insights to find potential prevention strategies for RA.

The association between lower socioeconomic position and functional limitations is partially mediated by obesity in older adults with symptomatic knee osteoarthritis: Findings from the English Longitudinal Study of Ageing

Objective

To assess the longitudinal associations of socioeconomic position (SEP) with functional limitations and knee joint replacement surgery (JRS) in people with symptomatic knee osteoarthritis (OA), and whether body mass index (BMI) mediated these relationships.

Methods

Data came from the English Longitudinal Study of Ageing, a national longitudinal panel study of adults aged ≥50 years. A total of 1,499 participants (62.3% female; mean age 66.5 (standard deviation (SD) 9.4) years; 47.4% obese) self-reporting an OA diagnosis and knee pain, with at least one BMI measurement were included. Mixed effect models estimated longitudinal associations of each SEP variable (education, occupation, income, wealth and deprivation index) and obesity (BMI ≥30.0 kg/m²) with repeated measures of functional limitations. Cox regression analyses estimated associations between SEP indicators and obesity at baseline and risk of knee JRS at follow-up. Structural equation modeling estimated any mediating effects of BMI on these relationships.

Results

Lower SEP and obesity at baseline were associated with increased odds of functional limitations in people with knee OA [e.g., difficulty walking 100 yards: no qualification vs. degree adjOR 4.33 (95% CI 2.20, 8.55) and obesity vs. no obesity adjOR 3.06 (95% CI 2.14, 4.37); similar associations were found for the other SEP indicators]. A small proportion of the association between lower SEP and functional limitations could be explained by BMI (6.2-12.5%). Those with lower income, lower wealth and higher deprivation were less likely to have knee JRS [e.g., adjHR most vs. least deprived 0.37 (95% CI 0.19, 0.73)]; however, no clear association was found for education and occupation. Obesity was associated with increased hazards of having knee JRS [adjHR 1.87 (95% CI 1.32, 2.66)]. As the direction of the associations for SEP and obesity with knee JRS were in opposite directions, no mediation analyses were performed.

Conclusions

Lower SEP was associated with increased odds of functional limitations but lower hazards of knee JRS among people with knee OA, potentially indicating underutilization of JRS in those with lower SEP. Obesity partially mediated the relationship between lower SEP and increased odds of functional limitations, suggesting adiposity as a potential interventional target.

Increased Frailty in Individuals With Osteoarthritis and Rheumatoid Arthritis and the Influence of Comorbidity: An Analysis of the UK Biobank Cohort

OBJECTIVE

To determine the association between osteoarthritis (OA), rheumatoid arthritis (RA), and frailty and to determine whether comorbidities interact with OA and RA to further increase the likelihood of frailty.

METHODS

Participants of the UK Biobank age 40-69 years at baseline were included. Demographic, lifestyle, and clinical data were collected at baseline and follow-up in a subset. Frailty was assessed using a frailty index (FI) (continuous) and a modified frailty phenotype (robust, pre-frail, frail). The association between RA and OA and frailty at baseline and follow-up was assessed using multiple regression models. We looked at whether comorbidities, including cardiovascular disease, diabetes mellitus, chronic obstructive pulmonary disease, and depression interacted additively with OA and RA to increase the likelihood of frailty.

RESULTS

In total, 457,561 participants contributed data. Those with (versus without) RA (n = 4,894) and OA (n = 35,884), respectively, were more likely to be frail (adjusted relative risk ratio 10.7 [95% confidence interval (95% CI) 9.7, 11.7] and 3.4 [95% CI 3.3, 3.6]) and were more likely to have a higher FI at baseline. There was evidence of additive interaction between RA, OA, and common comorbidities increasing the occurrence of prevalent frailty. Among 25,163 participants included in longitudinal analysis, patients with RA (n = 202) and OA (n = 1,811) at baseline had an increased adjusted frailty incidence rate ratio (2.8 [95% CI 1.7, 4.6] and 1.7 [95% CI 1.3, 2.1], respectively) and also a higher FI during follow-up.

CONCLUSION

Individuals with RA and OA are more likely to have, or develop, frailty. Common comorbidities interact with OA and RA to further increase the likelihood of frailty.

Prevalence and associated factors of osteoarthritis in the Ural Eye and Medical Study and the Ural Very Old Study

To determine the prevalence of osteoarthritis and its associated factors in populations from Russia. The population-based Ural Eye and Medical Study (UEMS) and the population-based Ural Very Old Study (UVOS) were conducted in a rural and urban region in Bashkortostan/Russia and included participants aged 40+ and 85+ years, respectively. As part of a detailed systematic examination, we assessed the osteoarthritis prevalence in an interview including questions on the self-reported presence of osteoarthritis, the joints affected and osteoarthritis-related pain-relieving therapy taken. Out of 5898 participants of the UEMS, 1636 individuals had osteoarthritis [prevalence: 27.7%; 95% confidence interval (CI) 26.7, 28.7], with 816 individuals (13.8%; 95% CI 12.8, 14.8) taking pain-relieving medication. A higher osteoarthritis prevalence was associated (multivariable analysis) with older age [odds ratio (OR 1.04; 95% confidence interval (CI) 1.03, 1.05], urban region of residence (OR 1.25; 95% CI 1.07, 1.45), higher body mass index (BMI) (OR 1.04; 95% CI 1.03, 1.06), lower monthly income (OR 0.78; 95% CI 0.68, 0.90), higher physical activity score (OR 1.02, 95% CI 1.01, 1.03), higher prevalence of a history of cardiovascular disease including stroke (OR 1.55; 95% CI 1.33, 1.81), previous bone fractures (OR 1.20; 95% CI 1.04, 1.40) and previous falls (OR 1.22; 95% CI 1.03, 1.45), higher hearing loss score (OR 1.01; 95% CI 1.01, 1.02), and less alcohol consumption (OR 0.78; 95% CI 0.65, 0.93). Out of 1526 UVOS participants, 567 individuals had osteoarthritis (prevalence: 37.2%; 95% CI 35.0, 40.0), with 195 (12.8%; 95% CI 11.3, 14.3) individuals taking pain-relieving medication. Higher osteoarthritis prevalence was associated with rural region of habitation (OR 1.69; 95% CI 1.20, 2.38), lower monthly income (OR 0.62; 95% CI 0.46, 0.84), higher prevalence of cardiovascular disease (OR 1.75; 95% CI 1.30, 2.36), and higher anxiety score (OR 1.04; 95% CI 1.03, 1.06). Osteoarthritis and use of pain-relieving medication are common in these populations in Russia. Main associated factors were older age and lower monthly income in both study populations, female sex, higher BMI, urban region, and previous falls and bone fractures in the UEMS population, and rural region and a higher anxiety score in the UVOS study population.

Physical activity patterns, genetic susceptibility, and risk of hip/knee osteoarthritis: a prospective cohort study based on the UK Biobank

OBJECTIVES

The effect of physical activity on hip/knee osteoarthritis (OA) and how it varies by genetic susceptibility to OA remains inconclusive.

METHODS

In a cohort study of UK Biobank, 436,166 OA-free participants were recruited in 2006-2010 and followed for knee/hip OA until the end of 2020. 28 physical activity-related items were collected at baseline. Cox regression was used to estimate associations between physical activity behaviors, as well as major activity patterns (i.e., significant principal components[PCs] identified by principal component analysis), and risk of OA, adjusting for multiple confounders. We further stratified the analyses by polygenic risk score (PRS) for OA to examine the impact of genetic susceptibility to OA on the studied association.

RESULTS

During a mean follow-up of 11.15 years, 13,227 hip and 21,119 knee OA cases were identified. 19, out of 28, studied items showed associations with increased OA risk. Compared with low adherence group(<1^st tertile of PC score for each pattern), individuals with high adherence to five identified patterns were associated with increased risk of OA. The moderate adherence to "strenuous sports"(HR = 0.93, 95%CI: 0.89-0.97) and "walking for pleasure"(HR = 0.93, 95%CI: 0.89-0.98) patterns was associated with reduced OA. Similar risk patterns were obtained in the stratified analysis by PRS levels for OA.

CONCLUSION

High intensity of most activity patterns were associated with increased OA. However, a protective effect was suggested for moderate adherence to patterns of "strenuous sports" and "walking for pleasure" that consistent across different genetic susceptibilities, underscoring the potential benefits of moderate-intensity physical activity on OA.

Quality of knee osteoarthritis care in the Netherlands: a survey on the perspective of people with osteoarthritis

BACKGROUND

Quality indicators (QIs) are used to monitor quality of care and adherence to osteoarthritis (OA) standards of care. Patient reported QIs can identify the most important gaps in quality of care and the most vulnerable patient groups. The aim of this study was to capture the perspective of people with knee OA (KOA) in the Netherlands on the quality of care received, and explore determinants related to lower achievement rates.

METHODS

We sent an online survey to all members of The Dutch Knee Panel (n = 622) of the Sint Maartenskliniek Nijmegen, the Netherlands between September and October 2019. The survey consisted of a slightly adapted version of the "OsteoArthritis Quality Indicator" (OA-QI) questionnaire (18 items; yes, no, N/A); a rating of quality of KOA care on a 10-point scale; a question on whether or not one wanted to see change in the care for KOA; and an open-ended question asking recommendations for improvement of OA care. Furthermore, sociodemographic and disease related characteristics were collected. Pass rates for separate QIs and pass rates on patient level were calculated by dividing the number of times the indicator was achieved by the number of eligible persons for that particular indicator.

RESULTS

A total of 434 participants (70%) completed the survey. The mean (SD) pass rate (those answering "Yes") for separate QIs was 49% (20%); ranging from 15% for receiving referral for weight reduction to 75% for patient education on how to manage knee OA. The mean (SD) pass rate on patient level was 52% (23%). Presence of OA in other joints, comorbidities, and having a knee replacement were associated with higher pass rates. On average, a score of 6.5 (1.6) was given for the quality of care received, and the majority of respondents (59%) wanted change in the care for KOA. Of 231 recommendations made, most often mentioned were the need for tailoring of care (14%), more education (13%), and more empathy and support from healthcare providers (12%).

CONCLUSION

This study found patients are only moderately satisfied with the OA care received, and showed substantial gaps between perceived quality of care for OA and internationally accepted standards. Future research should focus on the underlying reasons and provide strategies to bridge these gaps.

Pain descriptors and determinants of pain sensitivity in knee osteoarthritis: a community-based cross-sectional study

Objectives

To explore pain characteristics in individuals with knee osteoarthritis (KOA), to compare pain sensitivity across individuals with KOA, chronic back pain (CBP) and pain-free individuals (NP), and to examine the relationship between clinical and pain characteristics with pain sensitivity in KOA.

Methods

Cross-sectional, community-based online survey. Two datasets were combined comprising Dutch individuals of ≥ 40 years of age, experiencing chronic knee pain (KOA, N = 445), chronic back pain (CBP, N = 504), or no pain (NP, N = 256). Demographic and clinical characteristics, global health, physical activity/exercise, and pain characteristics including intensity, spreading, duration, quality (SF-MPQ), and sensitivity (PSQ) were assessed. Differences between (sub)groups were examined using analyses of variance or Chi-square tests. Regression analyses were performed to examine determinants of pain sensitivity in the KOA group.

Results

Quality of pain was most commonly described as aching, tender, and tiring-exhausting. Overall, the KOA group had higher levels of pain sensitivity compared to NP group, but lower levels than the CBP group. Univariately, pain intensity, its variability and spreading, global health, exercise, and having comorbidities were weakly related to pain sensitivity (standardized betas: 0.12-0.27). Symptom duration was not related to pain sensitivity. Older age, higher levels of continuous pain, lower levels of global health, and exercise uniquely contributed, albeit modest, to pain sensitivity (P&lt;0.05).

Conclusion

Continuous pain such as aching and tenderness in combination with decreased physical activity may be indicative for a subgroup of individuals at risk for pain sensitivity and, ultimately, poor treatment outcomes.

Patient empowerment among adults with arthritis: the case for emotional support

Objective

This study aimed to identify differences in patient empowerment based on biopsychosocial patient-reported measures, the magnitude of those differences, and which best explain differences in patient empowerment.

Methods

This was a cross-sectional observational study of 6,918 adults with arthritis in the United States. Data were collected from March 2019 to March 2020 through the Arthritis Foundation's Live Yes! INSIGHTS program. Patient empowerment, measured by the Health Care Empowerment Questionnaire, included two scales: Patient Information-Seeking and Healthcare Interaction

Results

Patient-reported outcomes were measured using the PROMIS- 29® and PROMIS® Emotional Support scale. Analysis of variance assessed differences between groups; Spearman's Rank Correlation assessed correlations between variables. Hierarchical regression analysis determined the contributions of sociodemographic characteristics, arthritis type, and patent-reported health measures in explaining patient empowerment (α=0.05).

Results

Empowerment was lower among those who were male, older, less educated, or who had lower income, osteoarthritis, less emotional support, or better physical function, although the effect was small to negligible for most of these variables in the final regression models. Empowerment did not differ by race/ethnicity in unadjusted or adjusted analysis. In final regression models, Emotional Support contributed the most to explaining patient empowerment.

Conclusion

Emotional support is important for patient empowerment. This suggests that programs that seek to improve patient empowerment should target and measure impacts on emotional support.

Prevalence of locomotive syndrome in Japanese patients more than 10 years after total hip arthroplasty: A cross-sectional cohort study

BACKGROUND

Locomotive syndrome (LS) is a high risk condition that requires nursing care. It is important to investigate the prevalence of and factors related to LS to maintain a healthy life expectancy for patients; however, only a few reports have focused on the relationship between LS and total hip arthroplasty (THA). The purpose of this study was to evaluate the prevalence of LS and to identify factors associated with LS in patients more than 10 years after THA.

METHODS

This is a cross-sectional cohort study. Patients were assessed via a mail survey that included items regarding demographic data, cardiometabolic and motor disorders, the incidence of falls, physical activity level, and the 25-question Geriatric Locomotive Function Scale (GLFS-25) questionnaire. LS was defined as having a score ≥16 on the GLFS-25, and the respondents were categorized into two groups: an LS group and a non-LS group. The prevalence of LS was calculated in each gender and age group. Differences in variables between the groups were determined using the unpaired t-test and chi-squared test.

RESULTS

A total of 593 patients were included in the study (mean age, 70.4 years; 525/593 females). According to the GLFS-25, 164 patients (27.7%; 21.1% men and 28.8% women) were classified as having LS, which increased with age. In addition, compared with the non-LS group, the LS group had a significantly higher prevalence of motor diseases, cardiometabolic diseases, and falls and significantly lower levels of activity.

CONCLUSION

These findings suggest that the prevalence of LS in patients more than 10 years after THA is 27.7%. The result suggest that the prevalence of LS in patients more than 10 years after THA is similar to the prevalence of LS in the general elderly population. Furthermore, LS is related to not only motor diseases but also cardiometabolic diseases.

Association of Arthritis and Antihypertensive Medication Use Among Individuals With Hypertension: A Cross-Sectional Analysis of the 2017 Behavioral Risk Factor Surveillance System

BACKGROUND

The aim of this study was to assess whether arthritis is associated with lower antihypertensive medication (AHM) use among those with hypertension and whether this relationship differs by age or cardiovascular (CV) comorbidity.

METHODS

The data were from the 2017 Behavioral Risk Factor Surveillance System. We employed survey weights to account for the complex sampling design and nonresponse bias. We used generalized linear models to estimate unadjusted and adjusted prevalence ratios (PRs) and 95% confidence intervals comparing AHM use among those with severe or mild arthritis to those without arthritis, stratified by age, sex, and CV comorbidity.

RESULTS

Among 173,098 adults with hypertension, 26.0% had severe arthritis and 22.3% had mild arthritis. Compared with those without arthritis, individuals with mild or severe arthritis were older, predominantly female, with lower income and more comorbidities. After adjustment for sex, race, inability to afford medications, and CV comorbidity, the prevalence ratios for AHM use were stronger for younger versus older age groups. Associations did not differ significantly by sex or CV comorbidity. Associations were similar for mild and severe arthritis, compared with no arthritis.

CONCLUSIONS

Among individuals with hypertension, those with arthritis had significantly higher prevalences of AHM use compared with those without arthritis. Higher prevalences of AHM use were seen with older age categories, although a stronger association of arthritis and AHM use was found in younger age groups. Future studies on hypertension management in arthritis should examine these relationships more closely.

A Bayesian Model to Analyze the Association of Rheumatoid Arthritis With Risk Factors and Their Interactions

Rheumatoid arthritis (RA) is a chronic autoimmune disorder that commonly manifests as destructive joint inflammation but also affects multiple other organ systems. The pathogenesis of RA is complex where a variety of factors including comorbidities, demographic, and socioeconomic variables are known to associate with RA and influence the progress of the disease. In this work, we used a Bayesian logistic regression model to quantitatively assess how these factors influence the risk of RA, individually and through their interactions. Using cross-sectional data from the National Health and Nutrition Examination Survey (NHANES), a set of 11 well-known RA risk factors such as age, gender, ethnicity, body mass index (BMI), and depression were selected to predict RA. We considered up to third-order interactions between the risk factors and implemented factor analysis of mixed data (FAMD) to account for both the continuous and categorical natures of these variables. The model was further optimized over the area under the receiver operating characteristic curve (AUC) using a genetic algorithm (GA) with the optimal predictive model having a smoothed AUC of 0.826 (95% CI: 0.801–0.850) on a validation dataset and 0.805 (95% CI: 0.781–0.829) on a holdout test dataset. Apart from corroborating the influence of individual risk factors on RA, our model identified a strong association of RA with multiple second- and third-order interactions, many of which involve age or BMI as one of the factors. This observation suggests a potential role of risk-factor interactions in RA disease mechanism. Furthermore, our findings on the contribution of RA risk factors and their interactions to disease prediction could be useful in developing strategies for early diagnosis of RA.

Cross-sectional and temporal differences in health-related quality of life of people with and without osteoarthritis: a 10-year prospective study

OBJECTIVE

To describe the impact of OA on health-related quality of life (HRQoL) in the forms of health state utilities (HSUs) and health-dimension scores, and to compare the longitudinal changes in HRQoL for people with and without OA, using an Australian population-based longitudinal cohort.

METHODS

Participants of the Tasmanian Older Adult Cohort with data on OA diagnosis and HRQoL were included [interviewed at baseline (n = 1093), 2.5 years (n = 871), 5 years (n = 760) and 10 years (n = 562)]. HRQoL was assessed using the Assessment of Quality of Life four-dimensions and analysed using multivariable linear mixed regressions.

RESULTS

Compared with participants without OA, HSUs for those with OA were 0.07 (95% confidence interval: 0.09, 0.05) units lower on average over 10 years. HSUs for participants with knee and/or hip OA were similar to those with other types of OA at the 2.5 year follow-up and then diverged, with HSUs of the former being up to 0.09 units lower than the latter. Those with OA had lower scores for psychological wellness, independent living and social relationships compared with those without OA. Independent living and social relationships were mainly impacted by knee and/or hip OA, with the effect on the former increasing over time.

CONCLUSION

Interventions to improve HRQoL should be tailored to specific OA types, health dimensions, and times. Support for maintaining psychological wellness should be provided, irrespective of OA type and duration. However, support for maintaining independent living could be more relevant to knee and/or hip OA patients living with the disease for longer.

The impact of comorbidities on health-related quality of life of people with osteoarthritis over ten years

OBJECTIVE

To investigate the impact of total number and patterns of comorbidities on health-related quality of life (HRQoL) and identify the most prevalent and influential comorbidity patterns in people with osteoarthritis (OA) over ten years.

METHODS

Participants from the Tasmanian Older Adult Cohort aged 50-80 years, with self-reported OA and data on comorbidities and HRQoL were included. Participants were interviewed at baseline (n = 398), 2.5-years (n = 304), 5-years (n = 269) and 10-years (n = 191). Data on the self-reported presence of 10 chronic comorbidities were collected at baseline. HRQoL was assessed using the Assessment of Quality of Life-4-Dimensions. The long-term impacts of the number and of the nine most prevalent combinations of cardiovascular (CVD), non-OA musculoskeletal (Ms), metabolic, and respiratory comorbidities on HRQoL over ten years were analysed using linear mixed regressions.

RESULTS

Compared with comorbidity-free OA participants, the health state utility (HSU) of those with 2 or ≥ 3 comorbidities was respectively -0.07 and -0.13 units lower over ten years, largely driven by reduced scores for independent living, social relationships and psychological wellness. Comorbidity patterns including 'CVD+Ms' were most influential, and associated with up to 0.13 units lower HSU, mostly through negative impacts on independent living (up to -0.12), psychological wellness (up to -0.08) and social relationship (up to -0.06).

CONCLUSION

Having more comorbidities negatively impacted OA patients' long-term HRQoL. OA patients with CVD and non-OA musculoskeletal conditions had the largest HSU impairment, therefore optimal management and prevention of these conditions may yield improvements in OA patients' HRQoL.

Psychometric characteristics of the health care empowerment questionnaire in a sample of patients with arthritis and rheumatic conditions

Background

Patient empowerment can improve health‐related outcomes and is important in chronic conditions, such as arthritis. This study aimed to validate the Health Care Empowerment Questionnaire (HCEQ), a patient‐reported experience measure of empowerment, for use with patients with arthritis and other rheumatic diseases.

Methods

The HCEQ measures Patient Information Seeking (or Involvement in Decisions) and Healthcare Interaction Results (or Involvement in Interactions) and asks respondents to answer questions in two ways: whether they feel something happened and its importance to them. Face validity was assessed through qualitative data (n = 8, nominal group technique; n = 55, focus groups). Measure structure was assessed through confirmatory factor analysis (CFA); internal consistency was also assessed (n = 9226). Test‐retest reliability was assessed with sub‐sample of participants (n = 182).

Results

We found adequate face validity of the HCEQ for patients with arthritis. The CFA indicated good fit to the data for the two‐factor structure of the HCEQ (RMSEA = 0.075; CFI = 0.987; TLI = 0.978; SRMR = 0.026). Internal consistency was strong (α=0.94 for both subscales). Test‐retest reliability was moderate for Patient Information Seeking (ICC=0.67) and good for Healthcare Interaction Results (ICC=0.77).

Conclusions

The HCEQ, with modifications, demonstrated promising psychometric properties within this sample, laying the foundation for further assessment. This work supports the HCEQ as an appropriate instrument for examining experiences with and perceived importance of empowerment in individuals with arthritis and other rheumatic conditions.

Patient Contribution

Patients contributed to the assessment of face validity. As a measure of patient empowerment, the HCEQ’s use can enable further participation of patients in health care.

Preoperative low muscle mass is a predictor of falls within 12 months of surgery in patients with lumbar spinal stenosis

BACKGROUND

Patients with lumbar spinal stenosis (LSS) may be at high risk of falls due to various factors. No effective fall risk assessments or fall prevention measures have been performed for patients with LSS because only a few studies have evaluated falls in these patients. This study aimed to evaluate the incidence and preoperative predictors of falls within 12 months of surgery in patients with LSS.

METHODS

In this prospective study of 82 consecutive preoperative patients with LSS, preoperative demographic data, previous fall history, leg pain, low back pain, Japanese Orthopaedic Association (JOA) score, Hospital Anxiety and Depression Scale (HADS) scores, lower extremity muscle strength, walking speed, grip strength, and muscle mass were assessed at baseline. Falls were assessed at 3, 6, 9, and 12 months after surgery. Participants were categorized as fallers and non-fallers and baseline variables were compared. Binomial logistic regression was used to identify predictors of falls within 12 months of surgery.

RESULTS

Seventy-four patients (90.2%) completed the 12-month follow-up after surgery, of whom 24 patients (32.4%) experienced falls. A higher proportion of fallers were female and had a history of falls compared to non-fallers. Fallers had a significantly lower JOA score and a higher HADS-depression score compared to non-fallers. Fallers had significantly lower tibialis anterior muscle strength, gait speed, grip strength, and skeletal muscle mass index. Fallers had a higher prevalence of low muscle mass compared with non-fallers. The presence of low muscle mass was significantly predictive of falls within 12 months of surgery (odds ratio, 4.46; 95% confidence interval, 1.02-19.63).

CONCLUSIONS

Patients with LSS have a high incidence of falls after surgery and preoperative low muscle mass may be a predictor of postoperative falls.

Patterns of multimorbidity and their effects on adverse outcomes in rheumatoid arthritis: a study of 5658 UK Biobank participants

OBJECTIVE

To investigate how the type and number of long-term conditions (LTCs) impact on all-cause mortality and major adverse cardiovascular events (MACE) in people with rheumatoid arthritis (RA).

DESIGN

Population-based longitudinal cohort study.

SETTING

UK Biobank.

PARTICIPANTS

UK Biobank participants (n=502 533) aged between 37 and 73 years old.

PRIMARY OUTCOME MEASURES

Primary outcome measures were risk of all-cause mortality and MACE.

METHODS

We examined the relationship between LTC count and individual comorbid LTCs (n=42) on adverse clinical outcomes in participants with self-reported RA (n=5658). Risk of all-cause mortality and MACE were compared using Cox's proportional hazard models adjusted for lifestyle factors (smoking, alcohol intake, physical activity), demographic factors (sex, age, socioeconomic status) and rheumatoid factor.

RESULTS

75.7% of participants with RA had multimorbidity and these individuals were at increased risk of all-cause mortality and MACE. RA and >4 LTCs showed a threefold increased risk of all-cause mortality (HR 3.30, 95% CI 2.61 to 4.16), and MACE (HR 3.45, 95% CI 2.66 to 4.49) compared with those without LTCs. Of the comorbid LTCs studied, osteoporosis was most strongly associated with adverse outcomes in participants with RA compared with those without RA or LTCs: twofold increased risk of all-cause mortality (HR 2.20, 95% CI 1.55 to 3.12) and threefold increased risk of MACE (HR 3.17, 95% CI 2.27 to 4.64). These findings remained in a subset (n=3683) with RA diagnosis validated from clinical records or medication reports.

CONCLUSION

Those with RA and other LTCs, particularly comorbid osteoporosis, are at increased risk of adverse outcomes, although the role of corticosteroids could not be evaluated in this study. These results are clinically relevant for the monitoring and management of RA across the healthcare system, and future clinical guidelines for RA should acknowledge the importance of multimorbidity.

Causal effect of deteriorating socioeconomic circumstances on new-onset arthritis and the moderating role of access to medical care: A natural experiment from the 2011 great east Japan earthquake and tsunami

Socioeconomic disadvantage is a risk factor for arthritis, but its causal relationship remains unclear. This study examined the causal relationship between socioeconomic circumstances and new-onset arthritis by taking advantage of the "natural experiment" that resulted from the Great East Japan Earthquake and Tsunami. The baseline survey was conducted in August 2010, 7 months before the disaster. Self-reported questionnaires were mailed to all eligible residents of Iwanuma City in Miyagi Prefecture. The earthquake and tsunami occurred on March 11, 2011. The follow-up survey was conducted in October 2013, as well as the gathering of information about disaster damage (housing damage and subjective deterioration of economic circumstances) and health-related information. We used a two-stage least squares instrumental variable model to analyze 2360 survivors who did not have arthrosis at baseline, of whom 95 (4.0%) developed arthritis over the 2.5-year follow-up period. We used the linear probability model for the estimations. Our results revealed that both the subjective deterioration of economic circumstances and housing damage were associated with the development of arthritis (95% confidence interval [CI], 0.08 [0.03-0.12] and 0.02 [0.01-0.04], respectively). In addition, we also found that the disruption of access to orthopedics was associated with the development of arthritis. Our findings added robust evidence of the causal relationship between worsening economic circumstances and the development of arthritis. Our study emphasized the importance of recovery as well as the establishment of the post-disaster orthopedic medical system in the aftermath of a disaster.

Neighborhood built and social environment and meeting physical activity recommendations among mid to older adults with joint pain

Arthritis is a leading cause of disability in the United States, with the most efficacious treatments being physical activity (PA). Arthritis patients are less likely to meet PA recommendations and the neighborhood environment may play a role. This study examines the effect of neighborhood walkability and social cohesion on PA among arthritis patients in a sample of US adults. This cross-sectional study used 2015 National Health Interview Survey data. Eligible participants were age ≥45 years, had arthritis, recent leg-joint pain and complete data. Walkability was based on 6 questions regarding amenities and destinations that promote walking. Social cohesion was based on 4 validated questions. Meeting PA was defined as 150 min/week. Chi-squared testing and logistic regression determined associations between neighborhood environment and PA, including interaction between social cohesion and walkability. The final unweighted sample included 3,826 participants with mean age 64.6 years (SE = 0.26), 61.8% female and 78.1% non-Hispanic White. In adjusted, weighted analysis, not, slightly, and moderately-walkable neighborhoods all had lower odds of meeting PA recommendations verses highly-walkable neighborhood (OR = 0.61[95% CI 0.41–0.92], OR = 0.65[95% CI 0.50–0.85], OR = 0.75[95% CI 0.59–0.97], respectively). Social cohesion was independently associated with decreased odds of meeting PA guidelines (p = 0.003). No interaction with walkability was found (p = 0.405). Less than a highly-walkable neighborhood and lower social cohesion were independently associated with decreased odds of meeting PA recommendations among adults with arthritis and recent joint pain. Since walking is one of the most effective treatments for arthritis, clinicians should be sensitive to barriers patients may perceive to walking.

Patients with more comorbidities have better detection of chronic conditions, but poorer management and control: findings from six middle-income countries

BACKGROUND

The burden of non-communicable diseases (NCDs) is rising rapidly in middle-income countries (MICs), where NCDs are often undiagnosed, untreated and uncontrolled. How comorbidity impacts diagnosis, treatment, and control of NCDs is an emerging area of research inquiry and have important clinical implications as highlighted in the recent National Institute for Health and Care Excellence guidelines for treating patients suffering from multiple NCDs. This is the first study to examine the association between increasing numbers of comorbidities with being undiagnosed, untreated, and uncontrolled for NCDs, in 6 large MICs.

METHODS

Cross-sectional analysis of the World Health Organisation Study of Global Ageing and Adult Health (WHO SAGE) Wave 1 (2007-10), which consisted of adults aged ≥18 years from 6 populous MICs, including China, Ghana, India, Mexico, Russia and South Africa (overall n = 41, 557).

RESULTS

A higher number of comorbidities was associated with better odds of diagnosis for hypertension, angina, and arthritis, and higher odds of having treatment for hypertension and angina. However, more comorbidities were associated with increased odds of uncontrolled hypertension, angina, arthritis, and asthma. Comorbidity with concordant conditions was associated with improved diagnosis and treatment of hypertension and angina.

CONCLUSION

Patients with more comorbidities have better diagnosis of chronic conditions, but this does not translate into better management and control of these conditions. Patients with multiple NCDs are high users of health services and are at an increased risk of adverse health outcomes. Hence, improving their access to care is a priority for healthcare systems.

How does parent/self-reporting of common respiratory conditions compare with medical records among Aboriginal and Torres Strait Islander (Indigenous) children and young adults?

AIM

Self-reporting and/or data from medical records are frequently used in studies to ascertain health history. Data on the discrepancies between these information sources is lacking for Indigenous Australians. This study reports such data for selected respiratory and atopic conditions common among Indigenous Australians.

METHODS

Data were extracted from the Indigenous respiratory reference value study, a multicentre cross-sectional study of Indigenous children and young adults (3-25 years) between June 2015 and November 2017. Only those living in rural/remote regions were included. Self-reported history was collected from parents (if participants <18 years) or participants. Medical records were manually reviewed. Participants with incomplete data (missing self-reported and/or medical record information) were excluded. Agreement between sources was examined using Cohen's kappa.

RESULTS

Of 1097 participants, 889 (97.1% <18 years) had sufficient self-reported and medical record histories for comparison. Asthma was self-reported by 15.7% of participants and was reported in medical records for 10.3% (κ = 0.53, 95% confidence interval (CI) 0.45-0.61). For bronchiectasis, the reported rates were 1.5 and 0.7% (κ = 0.52, 95% CI 0.25-0.80), pneumonia 1.1 and 5.8% (κ = 0.15, 95% CI 0.02-0.27), allergic rhinitis 6.6 and 0.6% (κ = 0.05, 95% CI -0.03, 0.13) and eczema 5.8 and 6.2% (κ = 0.30, 95% CI 0.18-0.42).

CONCLUSIONS

Within our cohort, agreement was moderate for asthma and bronchiectasis, fair for eczema and poor for pneumonia and allergic rhinitis. These results highlight the challenges associated with how best to obtain an accurate health history within Australian Indigenous rural/remote communities. Generalisability of findings and contributions of poor health knowledge and/or poor medical record documentation need further exploration.

Development and evaluation of a tailored e-self-management intervention (dr. Bart app) for knee and/or hip osteoarthritis: study protocol

Background

This paper describes (the development of) an eHealth tool (dr. Bart app) to enhance self-management and to optimize non-surgical health care utilization in patients with knee and/or hip osteoarthritis (OA) and presents a study aiming 1) to study the effectiveness of the dr. Bart app on health care use 2) to explore differences in use, usability and the clinical outcomes of the dr. Bart app between the Netherlands and Germany.

Methods

The dr. Bart app is a fully automated eHealth application and is based on the Fogg model for behavioural change, augmented with reminders, rewards and self-monitoring to reinforce app engagement and health behaviour. The dr. Bart app propose goals to a healthier lifestyle based on machine learning techniques fed by data collected in a personal profile and choosing behaviour of the app user. Patients ≥50 years with self-reported knee and/or hip OA will be eligible to participate. Participants will be recruited in the community through advertisements in local newspapers and campaigns on social media. This protocol presents a study with three arms, aiming to include 161 patients in each arm. In the Netherlands, patients are randomly allocated to usual care or dr. Bart app and in Germany all patients receive the dr. Bart app. The primary outcome of the first research question is the number of self-reported consultations in secondary health care. The primary outcome of the second research question (comparison between the Netherlands and Germany) is self-management behaviour assessed by the patient activation measure (PAM-13) questionnaire. Secondary outcomes are costs, health-related quality of life, physical functioning and activity, pain, use and usability of the dr. Bart app. Data will be collected through three online questionnaires (at baseline and after 3 and 6 months after inclusion).

Discussion

This study will gain insight into the effectiveness of the dr. Bart app in the (conservative) treatment of patients with knee and/or hip OA and differences in the use and usability of the dr. Bart app between the Netherlands and Germany.

Trial registration

Dutch Trial Register (Trial Number NTR6693 / NL6505). Registration date: 4 September 2017.