Identify the pathway by which social determinants of health (SDoH) variables impact systolic blood pressure (SBP) in immigrants. Latent variables were used to assess the relationship between SDoH and SBP. Latent variables were identified using confirmatory factor analysis (CFA) for (1) global socioeconomic status (SES) (education, income, number of hours worked per week), (2) stressors of immigration (life-course SES, immigration stress, immigration demand), (3) adaptation to immigration (perceived discrimination, perceived stress, health literacy), and (4) burden of disease (disability, comorbidities, chronic pain). Structural equation modeling (SEM) was used to investigate the relationship between immigrant specific latent variables and SBP. The study included 181 adult immigrants. The initial model (chi2 (77, n = 181) = 302.40, p < 0.001, RMSEA = 0.086, CFI = 0.84, TLI = 0.78, CD = 0.91) showed that stressors of immigration had a direct relationship with SBP (−0.35, p = 0.033); global (SES) had a direct relationship with burden of disease (−0.70, p = 0.007) and an indirect relationship with SBP by way of burden of disease (0.24, p = 0.015). The final model (chi2 (69, n = 181) = 149.98, p < 0.001, RMSEA = 0.054, CFI = 0.94, TLI = 0.91, CD = 0.96) maintained that global SES had a direct relationship with burden of disease (−0.40, p < 0.001) and an indirect relationship with SBP by way burden of disease (0.34, p < 0.001). This study suggests a direct relationship between burden of disease and SBP, and an indirect relationship between SES and SBP. Development of interventions should take burden of disease into account as a direct driver of blood pressure in immigrants, and address factors related to SES.

确定健康的社会决定因素 (SDoH) 变量影响移民收缩压 (SBP) 的途径。潜在变量用于评估 SDoH 和 SBP 之间的关系。使用验证性因素分析 (CFA) 确定潜在变量，用于 (1) 全球社会经济地位 (SES)（教育、收入、每周工作小时数），(2) 移民压力源（生命历程 SES、移民压力、移民需求），（3）适应移民（感知歧视，感知压力，健康素养），和（4）疾病负担（残疾，合并症，慢性疼痛）。结构方程模型 (SEM) 用于研究移民特定潜在变量与 SBP 之间的关系。该研究包括 181 名成年移民。初始模型 (chi2 (77, n = 181) = 302.40,p  < 0.001，RMSEA = 0.086，CFI = 0.84，TLI = 0.78，CD = 0.91）表明移民压力与 SBP 有直接关系（-0.35，p  = 0.033）；全球（SES）与疾病负担有直接关系（-0.70，p  = 0.007），通过疾病负担与 SBP 有间接关系（0.24，p  = 0.015）。最终模型 (chi2 (69, n = 181) = 149.98, p  < 0.001, RMSEA = 0.054, CFI = 0.94, TLI = 0.91, CD = 0.96) 认为全球 SES 与疾病负担有直接关系 (-0.40 , p  < 0.001) 以及通过疾病负担与 SBP 的间接关系 (0.34, p < 0.001)。该研究表明疾病负担与 SBP 之间存在直接关系，而 SES 与 SBP 之间存在间接关系。干预措施的制定应将疾病负担作为移民血压的直接驱动因素考虑在内，并解决与 SES 相关的因素。