Department of Medicine, Division of General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA.
Chronic Illn. 2022 Dec;18(4):757-769. doi: 10.1177/17423953211000412. Epub 2021 Mar 16.
Validate a conceptual framework and identify pathways between antecedent (life-course socioeconomic status (L-SES)), predisposing (age, sex, married, homeless as a child), enabling (health literacy, acculturation), and need (disability) social determinants of health (SDoH) and systolic blood pressure (SBP) in US immigrants.
181 immigrants were enrolled in the study. Path analysis was used to identify paths by which SDoH influence SBP and to determine if antecedents, predisposing, enabling, and need factors have direct and indirect relationships with SBP.
The final model(chi(5)=14.88, p = 0.011, RMSEA = 0.070, pclose = 0.17, CFI = 0.96) showed L-SES was directly associated with age (0.12, p = 0.019) and disability(0.17, p = 0.001); and indirectly associated with disability (0.29, p < 0.001) and SBP (0.31, p < 0.001). Age (0.31, p < 0.001) and sex(0.25, p < 0.001) were directly associated with SBP, and age was directly associated with disability (0.29, p < 0.001) and indirectly associated with SBP(0.14, p = 0.018). Other predisposing factors such as being married (-0.32, p < 0.001) and being homeless as a child alone (0.16, p < 0.001) were directly associated with disability and indirectly associated (0.14, p = 0.018) with SBP. Enabling factor of health literacy (0.16, p = 0.001) was directly associated with disability and indirectly associated (0.14, p = 0.018) with SBP. Need factor of disability (0.14, p = 0.018) was directly associated with SBP.
This study provides the first validation of a conceptual model for the relationship between SDoH and SBP among immigrants and identifies potential targets for focused interventions.
验证一个概念框架,并确定美国移民的健康决定因素(社会决定因素)的前因(生活轨迹社会经济地位(L-SES))、促成因素(年龄、性别、已婚、儿时无家可归)、促成因素(健康素养、文化适应)和需求(残疾)与收缩压(SBP)之间的途径。
研究纳入了 181 名移民。路径分析用于确定 SDoH 影响 SBP 的途径,并确定前因、促成因素、促成因素和需求因素与 SBP 之间是否存在直接和间接关系。
最终模型(卡方(5)= 14.88,p=0.011,RMSEA=0.070,pclose=0.17,CFI=0.96)显示,L-SES 与年龄(0.12,p=0.019)和残疾(0.17,p=0.001)呈直接相关;与残疾(0.29,p<0.001)和 SBP(0.31,p<0.001)呈间接相关。年龄(0.31,p<0.001)和性别(0.25,p<0.001)与 SBP 呈直接相关,年龄与残疾(0.29,p<0.001)呈直接相关,与 SBP 呈间接相关(0.14,p=0.018)。其他促成因素,如已婚(-0.32,p<0.001)和儿时无家可归(0.16,p<0.001),与残疾呈直接相关,与 SBP 呈间接相关(0.14,p=0.018)。健康素养的促成因素(0.16,p=0.001)与残疾呈直接相关,与 SBP 呈间接相关(0.14,p=0.018)。需求因素残疾(0.14,p=0.018)与 SBP 呈直接相关。
本研究首次验证了一个概念模型,用于研究移民中 SDoH 与 SBP 之间的关系,并确定了有针对性干预的潜在目标。