Sociocultural Considerations in Juvenile Arthritis: A Review

The inequity of global healthcare in pediatric rheumatology

In pediatric rheumatology, global health inequity relates to the uneven distribution of healthcare resources, accessibility, and health outcomes among children with rheumatic conditions across various countries, regions, and socioeconomic groups. This inequity can manifest in various ways. This review article provides an overview of common rheumatic diseases, such as juvenile idiopathic arthritis and systemic lupus erythematosus, which significantly contribute to and are affected by disparities in global healthcare. Subsequently, we delve into the inequalities in accessing patient care, encompassing issues related to diagnosis and treatment. Additionally, we address challenges in educational advancement and identify research gaps within the field of pediatric rheumatology. We also reveal successful global collaborations, such as a Global Task Force for Pediatric Musculoskeletal Health and special working groups among international organizations, aimed at bridging the disparities gap. Through these efforts, we try to enhance understanding, cooperation, and resource allocation to ensure equal access to quality care worldwide for children with rheumatic conditions. Futhermore, we present a case study from Thailand, highlighting their successful initiatives in developing pediatric rheumatology within their healthcare system.

Cumulative Social Disadvantage Associated with Childhood Arthritis: A Cross-Sectional Analysis of the National Survey of Children's Health

OBJECTIVE

Health disparities in juvenile idiopathic arthritis (JIA) remain poorly understood. Social disadvantage may have a cumulative impact on health, with recent analyses using combined scoring systems to measure their impact on outcomes. Our aim was to investigate cumulative social disadvantage on childhood arthritis by using a cumulative score to analyze its association with arthritis among a nationally representative sample of children.

METHODS

A cross-sectional analysis of the National Survey of Children's Health (2016-2019) was performed. A cumulative social disadvantage score was generated (1 point each, with a maximum score of 4): low guardian education (high school or less), low household income level (0-199% of federal poverty level), underinsured status (public or uninsured), and high adverse childhood experience (ACE) score (≥4). Univariate and multivariable (adjusting for age, sex, and race and ethnicity) logistic regression models were used to measure the association between cumulative social risk and the odds of an arthritis diagnosis and moderate-to-severe parent-reported arthritis severity.

RESULTS

Of 131,774 surveys completed, a total of 365 children reported current arthritis. Cumulative social disadvantage was associated with an arthritis diagnosis, with the highest odds among those with a score of 4 (adjusted odds ratio [ORadj ] 12.4 [95% confidence interval (95% CI) 2.9-53.3]). Cumulative social disadvantage also was associated with increased odds of moderate-to-severe arthritis severity (ORadj 12.4 [95% CI 1.8-82.6]).

CONCLUSION

In this nationally representative sample, accumulated social disadvantage, measured via a cumulative social disadvantage score based on income level, guardian education, insurance status, and ACE exposure, was associated with an arthritis diagnosis and moderate-to-severe arthritis severity.

An overview of the relationship between juvenile idiopathic arthritis and potential environmental risk factors: Do early childhood habits or habitat play a role in the affair?

AIM

The current study was undertaken to evaluate the influence of breastfeeding on the development and outcome measures of juvenile idiopathic arthritis (JIA). The second aim was to determine the consequences of particular sociodemographic and sociocultural characteristics and nutritional behavior of early childhood on JIA.

METHODS

The study includes the patients diagnosed with JIA and regularly followed up at the Department of Pediatric Rheumatology in Istanbul University-Cerrahpasa. The comparison group consisted of healthy subjects and patients with juvenile systemic lupus erythematosus (jSLE). A face-to-face survey method was conducted with the parents of the participants between February 1, 2021, and September 1, 2021.

RESULTS

The mean age of the JIA cohort (n = 324) was 12.2 ± 4.7 years, with a female ratio of 64.8%. The breastfeeding rate differed from the control groups (253 healthy subjects and 88 patients with jSLE) but was higher with a value of 94.8%. There was no difference between the groups (P = .097, P = .064) or within the subgroups of JIA (P = .12) regarding breastfeeding duration. Cow's milk introduction time (P = .02, P = .0001), household pet-keeping (P = .001), income level (P = .0001), maternal literacy (P = 0.013) made a statistical difference vs the control groups.

CONCLUSION

No relationship was established between the rate or duration of breastfeeding and the development or severity of JIA. The early introduction of cow's milk was found to be higher in the patient cohorts. The income level and maternal literacy appeared to be relevant with the high disability and damage scores, and frequent relapse rates. Secondhand smoking, higher in JIA, may prompt the basis of primary preventable strategies in JIA.

Chinese family care patterns of childhood rheumatic diseases: A cluster analysis

Objectives

The purpose is to distinguish family care (FC) patterns of childhood rheumatic diseases in Chinese families and to determine the predictors of FC patterns.

Methods

This secondary analysis contained two cross-section surveys with a convenient sample of totally 398 caregivers who have a child with rheumatic diseases from four pediatric hospitals. Caregivers were required to completed Family Management Measure questionnaire. Cluster analysis was used to distinguish patterns and multinomial logistic regression analysis was used to find predictors.

Results

Four patterns were identified: the normal-perspective and collaborative (28.4%), the effortless and contradictory (24.6%), the chaotic and strenuous (18.3%), and the confident and concerning (28.7%). Disease category (χ² = 21.23, P = 0.002), geographic location (χ² = 8.41, P = 0.038), maternal educational level (χ² = 12.69, P = 0.048) and family monthly income (χ² = 33.21, P < 0.001) predicted different patterns.

Conclusions

FC patterns were different among families. Disease-related and family-related factors were vital predictors to distinguish patterns consistent with the Family Management Style Framework. The result assisted that clinicians recognize FC patterns and predictors effectively to provide tailored advice in time.