Walker Rebekah J, Smalls Brittany L, Egede Leonard E
Health Equity and Rural Outreach Innovation Center (HEROIC), Charleston VA HSR&D COIN, Ralph H. Johnson VAMC, Charleston, SC, USA; Center for Health Disparities Research, Medical University of South Carolina, Charleston, SC, USA.
Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, USA.
Diabetes Res Clin Pract. 2015 Nov;110(2):193-201. doi: 10.1016/j.diabres.2015.09.007. Epub 2015 Sep 18.
Socioeconomic, psychosocial, and neighborhood factors influence clinical outcomes and self-care behaviors in diabetes; however, few studies simultaneously assessed the impact of multiple social determinant of health factors on glycemic control. We used an explanatory model to examine the differential contribution of social determinants and clinical factors on glycemic control. Secondarily, we examined the contribution of mutable and immutable factors to identify meaningful future interventions.
Six hundred and fifteen adults with type 2 diabetes in the southeastern United States were recruited. A hierarchical model was run with HbA1c as the dependent variable and independent variables entered in blocks: demographics (block 1), socioeconomic (block 2), psychosocial (block 3), built environment (block 4), clinical (block 5), and knowledge/self-care (block 6).
Significant associations for HbA1c included self-efficacy (β=-0.10, p<0.001), social support (β=0.01, p<0.05), comorbidity (β=-0.09, p<0.05), insulin use (β=0.95, p<0.001), medication adherence (β=-0.11, p<0.05), and being a former smoker (β=0.34, p<0.05); accounting for 24.4% of the variance.
Important factors that drive glycemic control are mutable, and amenable to health interventions. Greater attention should be given to interventions that increase self-efficacy and social support, reduce the burden of comorbidities, and enhance medication adherence and smoking cessation.
社会经济、心理社会和社区因素会影响糖尿病的临床结局和自我护理行为;然而,很少有研究同时评估多种健康社会决定因素对血糖控制的影响。我们使用一种解释模型来检验社会决定因素和临床因素对血糖控制的不同贡献。其次,我们研究了可变因素和不可变因素的贡献,以确定未来有意义的干预措施。
招募了美国东南部615名2型糖尿病成年人。以糖化血红蛋白(HbA1c)作为因变量,自变量分块输入建立分层模型:人口统计学因素(第1块)、社会经济因素(第2块)、心理社会因素(第3块)、建成环境因素(第4块)、临床因素(第5块)以及知识/自我护理因素(第6块)。
与糖化血红蛋白有显著关联的因素包括自我效能感(β=-0.10,p<0.001)、社会支持(β=0.01,p<0.05)、合并症(β=-0.09,p<0.05)、胰岛素使用(β=0.95,p<0.001)、药物依从性(β=-0.11,p<0.05)以及曾吸烟(β=0.34,p<0.05);这些因素解释了24.4%的变异。
驱动血糖控制的重要因素是可变的,且适合进行健康干预。应更加关注那些能提高自我效能感和社会支持、减轻合并症负担、增强药物依从性和戒烟的干预措施。