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 musculoskeletal disorders and rheumatic disease in the Warao, Kari'ña, and Chaima indigenous populations of Monagas State, Venezuela.

This study aimed to estimate the prevalence of musculoskeletal disorders and rheumatic diseases in the Warao, Kari'ña, and Chaima indigenous populations of Monagas State, Venezuela. A cross-sectional, analytical, community-based study was conducted in 1537 indigenous subjects ≥18 years old (38.6 % male, mean age 41.4 ± 17.5 years). The cross-culturally validated Community Oriented Program for the Control of Rheumatic Diseases (COPCORD) diagnostic questionnaire was applied. Subjects with a positive COPCORD diagnosis (either historic or current pain) were evaluated by primary care physicians and rheumatologists. A descriptive analysis was performed and comparisons made using analysis of variance and the chi-square test. Pain in the last 7 days was reported by 32.9 %, with pain intensity, according to a Likert-type scale [no pain, 195 (38.5 %); minimal pain, 231 (45.6 %); strong pain, 68 (13.4 %); intense pain, 5 (0.9 %)], 38.0 % reported historical pain, and 641 (41.7 %) had either historic or current pain. Of the COPCORD-positive subjects, pain most frequently occurred in the knee, back, and hands. Musculoskeletal and rheumatic diseases included osteoarthritis (14.1 %), back pain (12.4 %), rheumatic regional pain syndromes (RRPS) (9.7 %), undifferentiated arthritis (1.5 %), rheumatoid arthritis (1.1 %), and fibromyalgia (0.5 %). Chaima (18.3 %) and Kari'ña (15.6 %) subjects had a high prevalence of osteoarthritis, and Warao subjects had a high prevalence of low back pain (13.8 %). The prevalence of RRPS was high in all three ethnic groups. The Chaima group had the highest prevalence of rheumatic diseases, with 2.0 % having rheumatoid arthritis. This study provides useful information for health care policy-making in indigenous communities.

Prevalence of musculoskeletal disorders and rheumatic diseases in an urban community in Monagas State, Venezuela: a COPCORD study.

The aim of the study was to determine the prevalence of musculoskeletal disorders and rheumatic diseases in an urban community in Venezuela. We conducted a cross-sectional, community-based study using the COPCORD (Community Oriented Program for Control of Rheumatic Diseases) methodology in subjects older than 18 years. Positive cases were evaluated by rheumatologists. We surveyed 3,973 individuals (1,606 males and 2,367 females), with a mean age of 43.7 years (standard deviation (SD) 17.6). Mean duration of education was 8.9 years (SD 3.7), 79.2 % had a monthly income of < US$569, and 46.4 % were working. Excluding trauma, the prevalence of pain in the 7 days prior to interview was 19.9 % (95 % confidence interval (CI) 18.7-21.2 %). Mean pain intensity on a visual analog scale was 6.3 (SD 2.2), and 30.1 % (95 % CI 28.7-31.6 %) had a history of pain. Respondents reported pain in the knees, back, hands, shoulders, and ankles in the last 7 days; 4.7 % described current functional limitation, with 16.5 % reporting limitations in the past. Regarding treatment, 23.9 % received medication, 6.4 % received physical therapy, and 2.6 % received alternative treatment. The main diagnoses were osteoarthritis in 15.0 % (95 % CI 13.9-16.1 %), rheumatic regional pain syndromes in 6.3 % (95 % CI 5.5-7.1 %), back pain in 2.8 % (95 % CI 2.3-3.4 %), rheumatoid arthritis in 0.4 % (95 % CI 0.2-0.6 %), crystal arthropathy in 0.3 % (95 % CI 0.1-0.5 %), fibromyalgia in 0.2 % (95 % CI 0.1-0.4 %), and systemic lupus erythematosus in 0.07 % (95 % CI 0.01-0.2 %). The prevalence of musculoskeletal disorders was 22.4 %, and the most prevalent disease was osteoarthritis. Pain, in which a patient is receiving treatment for musculoskeletal disorders, and physical disability were associated with the presence of a rheumatic disease.