Rheumatology Department, Hospital "Dr. Manuel Núñez Tovar", Maturin, Venezuela.
ICAT, Universidad Nacional Autonoma de Mexico, Ciudad de Mexico, Ciudad de México, Mexico.
BMJ Open. 2023 Mar 23;13(3):e069246. doi: 10.1136/bmjopen-2022-069246.
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.
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.
This is a secondary analysis of a previously published large-scale study on the prevalence of RMD.
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.
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.
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.
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.
Syndemics 是一个记录风湿性疾病患者群体健康不平等和脆弱性的框架。与其他方法相比,Syndemics 能够同时考虑流行病学、生物学、社会人口学和经济因素及其相互作用。
使用 Syndemics 方法评估拉丁美洲的风湿和肌肉骨骼疾病(RMD)的土著和非土著人群的健康不平等和脆弱性。
这是一项对先前发表的关于 RMD 患病率的大型研究的二次分析。
在五个拉丁美洲国家(阿根廷、哥伦比亚、厄瓜多尔、墨西哥和委内瑞拉)进行的研究。通过网络和聚类分析,使用 Syndemics 方法确定 RMD 中的健康不平等和脆弱性。
共研究了 44560 人:29.78%自我认定为土著,60.92%为女性,平均年龄为 43.25 岁。在土著人群中确定了 20 个聚类,在非土著人群中确定了 17 个聚类。
与土著人群的 RMD 相关的变量是农村地区、公共卫生系统、高关节生物力学应激、更大的疼痛、残疾和酗酒;而非土著人群的变量是女性、城市出身、年龄较大、私人卫生系统、关节生物力学应激、更大的疼痛和残疾。我们发现 RMD 患者存在不同的健康不平等(即,教育程度较低、更多的合并症),与土著自我认同和农村居住等因素有关。
Syndemics 方法使我们能够确定 RMD 中的健康不平等,表现为更高的合并症、残疾和社会经济因素(如较低的教育程度)的患病率。这些不平等现象存在于 RMD 患者的整个人群中,但在具有额外脆弱性层的土著群体中更为明显。