Inequity and vulnerability in Latin American Indigenous and non-Indigenous populations with rheumatic diseases: a syndemic approach.

Syndemics are a framework that documents health inequities and vulnerabilities in populations with rheumatic diseases. Compared with other approaches, syndemics are able to conjunctly consider epidemiological, biological, sociodemographic and economic factors, and their interactions. OBJECTIVE: To estimate health inequity and vulnerability among Indigenous and non-Indigenous populations with rheumatic and musculoskeletal diseases (RMD) in Latin America using the syndemic approach. DESIGN: This is a secondary analysis of a previously published large-scale study on the prevalence of RMD. SETTING: Studies carried out in five Latin American countries (Argentina, Colombia, Ecuador, Mexico and Venezuela). Health inequity and vulnerability in RMD were identified through a syndemic approach using network and cluster analysis. PARTICIPANTS: A total of 44 560 individuals were studied: 29.78% self-identified as Indigenous, 60.92% were female, the mean age was 43.25 years. Twenty clusters were identified in the Indigenous population and 17 in the non-Indigenous population. RESULTS: The variables associated with RMD among Indigenous populations were rurality, public health system, high joint biomechanical stress, greater pain, disability and alcoholism; and among non-Indigenous people they were being a woman, urban origin, older age, private health system, joint biomechanical stress, greater pain and disability. We identified different health inequities among patients with RMD (ie, lower educational attainment, more comorbidities), associated with factors such as Indigenous self-identification and rural residence. CONCLUSIONS: A syndemic approach enables us to identify health inequities in RMD, as shown by higher prevalence of comorbidities, disability and socioeconomic factors like lower educational attainment. These inequities exist for the overall population of patients with RMD, although it is more evident in Indigenous groups with added layers of vulnerability.

Syndemic and syndemogenesis of low back pain in Latin-American population: a network and cluster analysis.

INTRODUCTION: Although low back pain (LBP) is a high-impact health condition, its burden has not been examined from the syndemic perspective. OBJECTIVE: To compare and assess clinical, socioeconomic, and geographic factors associated with LBP prevalence in low-income and upper-middle-income countries using syndemic and syndemogenesis frameworks based on network and cluster analyses. METHODS: Analyses were performed by adopting network and cluster design, whereby interrelations among the individual and social variables and their combinations were established. The required data was sourced from the databases pertaining to the six Latin-American countries. RESULTS: Database searches yielded a sample of 55,724 individuals (mean age 43.38 years, SD = 17.93), 24.12% of whom were indigenous, and 60.61% were women. The diagnosed with LBP comprised 6.59% of the total population. Network analysis showed higher relationship individuals' variables such as comorbidities, unhealthy habits, low educational level, living in rural areas, and indigenous status were found to be significantly associated with LBP. Cluster analysis showed significant association between LBP prevalence and social variables (e.g. Gender inequality Index, Human Development Index, Income Inequality). CONCLUSIONS: LBP is a highly prevalent condition in Latin-American populations with a high impact on the quality of life of young adults. It is particularly debilitating for women, indigenous individuals, and those with low educational level, and is further exacerbated by the presence of comorbidities, especially those in the mental health domain. Thus, the study findings demonstrate that syndemic and syndemogenesis have the potential to widen the health inequities stemming from LBP in vulnerable populations. Key points • Syndemic and syndemogenesis evidence health disparities in Latin-American populations, documenting the complexity of suffering from a disease such as low back pain that is associated with comorbidities, unhealthy habits, and the social and regional context where they live. • The use of network and cluster analyses are useful tools for documenting the complexity and the multifaceted impact in health in large populations as well as the differences between countries. • The variability and impact of socioeconomic indicators (e.g., Gini index) related to low back pain and comorbidities could be felt through the use of cluster analysis, which generates evidence of regional inequality in Latin America. • Populations can be studied from different models (network and cluster analysis) and grouping, presenting new interpretations beyond geographical groupings, such as syndemic and inequity in health.

Epidemiology and socioeconomic impact of the rheumatic diseases on indigenous people: an invisible syndemic public health problem.

Epidemiological studies in Latin America suggest indigenous people lack proper healthcare for musculoskeletal (MSK) and rheumatic diseases. OBJECTIVES: This study aimed to estimate the prevalence of MSK disorders and rheumatic diseases in eight Latin American indigenous communities, and to identify which factors influence such prevalence using network analysis and syndemic approach. METHODS: This is a cross-sectional, community-based census study according to Community-Oriented Program for the Control of Rheumatic Diseases methodology. Individuals with MSK pain, stiffness or swelling in the past and/or during the last 7 days were evaluated by participating physicians. A descriptive, univariable and multivariable analysis was performed, followed by a network analysis. RESULTS: We surveyed 6155 indigenous individuals with a mean age of 41.2 years (SD 17.6; range 18-105); 3757 (61.0%) were women. Point prevalence in rank order was: low back pain in 821 (13.3%); osteoarthritis in 598 (9.7%); rheumatic regional pain syndromes in 368 (5.9%); rheumatoid arthritis in 85 (1.3%); undifferentiated arthritis in 13 (0.2%); and spondyloarthritis in 12 (0.1%). There were marked variations in the prevalence of each rheumatic disease among the communities. Multivariate models and network analysis revealed a complex relationship between rheumatic diseases, comorbidities and socioeconomic conditions. CONCLUSIONS: The overall prevalence of MSK disorders in Latin American indigenous communities was 34.5%. Although low back pain and osteoarthritis were the most prevalent rheumatic diseases, wide variations according to population groups occurred. The relationship between rheumatic diseases, comorbidities and socioeconomic conditions allows taking a syndemic approach to the study.

Prevalence of rheumatic regional pain syndromes in Latin-American indigenous groups: a census study based on COPCORD methodology and syndrome-specific diagnostic criteria.

This study assessed the overall and specific prevalence of the main rheumatic regional pain syndromes (RRPS) in four Latin-American indigenous groups. A Community Oriented Program for Control of Rheumatic Diseases (COPCORD) methodology-based census study was performed in 4240 adults (participation rate: 78.88 %) in four indigenous groups: Chontal (Oaxaca, Mexico, n = 124), Mixteco (Oaxaca, Mexico; n = 937), Maya-Yucateco (Yucatán, Mexico; n = 1523), and Qom (Rosario, Argentina; n = 1656). Subjects with musculoskeletal pain were identified using a cross-cultural, validated COPCORD questionnaire administered by bilingual personnel, and reviewed by general practitioners or rheumatologists using standardized case definitions for the 12 most frequent RRPS. The overall prevalence of RRPS was confirmed in 239 cases (5.64 %, 95 % CI: 4.98-6.37). The prevalence in each group was Chontal n = 19 (15.32 %, 95 % CI: 10.03-22.69); Maya-Yucateco n = 165 (10.83 %, 95 % CI: 9.37-12.49); Qom n = 48 (2.90 %, 95 % CI: 2.19-3.82); and Mixteco n = 7 (0.75 %, 95 % CI: 0.36-1.53). In the whole sample, the syndrome-specific prevalence was rotator cuff tendinopathy: 1.98 % (95 % CI: 1.60-2.45); lateral epicondylalgia: 0.83 % (95 % CI: 0.59-1.15); medial epicondylalgia: 0.73 % (95 % CI: 0.52-1.04); biceps tendinopathy: 0.71 % (95 % CI: 0.50-1.01); anserine syndrome: 0.64 % (95 % CI: 0.44-0.92); inferior heel pain: 0.61 % (95 % CI: 0.42-0.90); trochanteric syndrome: 0.49 % (95 % CI: 0.25-0.64); de Quervain's tendinopathy: 0.45 % (95 % CI: 0.29-0.70); trigger finger: 0.42 % (95 % CI: 0.27-0.67); carpal tunnel syndrome: 0.28 % (95 % CI: 0.16-0.49); Achilles tendinopathy (insertional): 0.12 % (95 % CI: 0.05-0.28); and Achilles tendinopathy (non-insertional): 0.07 % (95 % CI: 0.02-0.21). Leaving aside the comparison between Maya-Yucateco and Chontal groups (p = 0.18), we found significant differences (p < 0.001) in overall RRPS prevalence between the remaining pairs of indigenous groups. Syndrome-specific prevalences were also different between groups. Our findings support the hypothesis that overall RRPS prevalence and syndrome-specific prevalences are modulated by population-specific factors.

Epidemiology of rheumatic diseases in Mixtec and Chontal indigenous communities in Mexico: a cross-sectional community-based study.

This study aimed to estimate the prevalence of musculoskeletal (MSK) disorders and rheumatic diseases in the Chontal and Mixtec indigenous communities in the state of Oaxaca, Mexico, using the Community-Oriented Program for the Control of Rheumatic Diseases (COPCORD) methodology. After cross-culturally validating the COPCORD questionnaire for these communities, we conducted a cross-sectional, analytical, community-based census study using a house-to-house method. Positive cases of MSK disorders were assessed by primary care physicians and rheumatologists. The study population included participants aged ≥18 years from the indigenous communities of San Antonio Huitepec and San Carlos Yautepec. A total of 1061 persons participated in the study. Mean age was 46.9 years (standard deviation 19.9; age range 18-97 years); 642 (60.5 %) were women; 483 participants (45.5; 42.4-48.5 %) had MSK pain in the previous 7 days. Diagnoses were back pain 170 (16.0 %; 95 % confidence interval [CI] 13.8-18.3); osteoarthritis 157 (14.7 %; 95 % CI 12.7-17.0); rheumatic regional pain syndrome 53 (4.9 %; 95 % CI 3.7-6.4); rheumatoid arthritis 4 (0.3 %; 95 % CI 0.1-0.9); dermatomyositis 1 (0.09 %; 95 % CI 0.0-0.5); ankylosing spondylitis 1 (0.09 %; 95 % CI 0.0-0.5); systemic lupus erythematosus 1 (0.09 %; 95 % CI 0.02-0.5); and gout 1 (0.09 %; 95 % CI 0.0-0.5). 53.2 % had not received medical treatment for their disease. The prevalence of MSK disorders in indigenous communities in the Mixtec and Chontal regions is very high. The most common rheumatic diseases found were back pain and osteoarthritis. A high percentage of participants had not received medical care.