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

  • Ysabel Granados
  • , Alfonso Gastelum Strozzi
  • , Jose Alvarez-Nemegyei
  • , Rosana Quintana
  • , Flor Julian-Santiago
  • , Ana M. Santos
  • , Sergio Guevara-Pacheco
  • , Adalberto Loyola-Sanchez
  • , Maria Victoria Goycochea-Robles
  • , Vicente Juarez
  • , Mario Alberto Garza-Elizondo
  • , Juan Camilo Rueda
  • , Ruben Burgos-Vargas
  • , John Londoño
  • , Bernardo A. Pons-Estel
  • , Ingris Pelaez-Ballestas
  • Hospital "Dr. Manuel Núñez Tovar"
  • Universidad Nacional Autónoma de México
  • Hospital Star Medica Merida
  • Hospital Provincial de Rosario
  • Universidad de la Sabana
  • Universidad de Cuenca
  • University of Alberta
  • Hospital Señor del Milagro
  • Universidad Autonoma de Nuevo Leon
  • Hospital General de Mexico
  • Hospital Militar Central
  • Centro Regional de Enfermedades Autoinmune y Reumáticas (CREAR)

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Article numbere069246
JournalBMJ Open
Volume13
Issue number3
DOIs
StatePublished - 23 Mar 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • epidemiology
  • public health
  • rheumatology
  • statistics & research methods

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