Division of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.
Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee.
JAMA Netw Open. 2024 Aug 1;7(8):e2425996. doi: 10.1001/jamanetworkopen.2024.25996.
No clear process exists for categorizing social risks in a way that informs effective social risk screening and intervention development.
To investigate social risk profiles and associations of those profiles with clinical outcomes in adults with diabetes using latent profile analysis.
DESIGN, SETTING, AND PARTICIPANTS: For this cross-sectional study, a latent profile analysis was conducted using data for adults with type 2 diabetes collected at 2 primary care clinics in the Southeastern US from 2013 to 2014. Data were analyzed from November to December 2023.
Participants completed validated questionnaires for 26 social risk factors within 5 domains of social determinants of health: socioeconomic, neighborhood, education, food, and social and community context. In addition, participants completed questions that assessed psychological risk and behavioral risk. A 3-step latent profile analysis was used to identify different subgroups within the sample. Profiles were then regressed on outcomes of hemoglobin A1c (HbA1c), blood pressure, and quality of life.
A total of 615 participants (mean [SD] age, 61.3 [10.9] years; 379 men [61.6%]) were included. Five latent class profiles were identified. The lowest risk group had significantly higher mental health-related quality of life compared with a group with higher neighborhood risk (β, 1.11; 95% CI, 0.67 to 1.55). The second group had low economic risk but high neighborhood risk and served as the reference group. The third group had high economic and neighborhood risk and had significantly higher blood pressure (β, 8.08; 95% CI, 2.16 to 14.01) compared with the reference. The fourth group had high psychological and behavioral risks but low socioeconomic and neighborhood risks. This group had significantly higher HbA1c (β, 0.47; 95% CI, 0.01 to 0.92) and lower mental health-related quality of life (β, -1.83; 95% CI, -2.41 to -1.24) compared with the reference. The highest risk group indicated high risk in all domains, had significantly higher HbA1c (β, 1.07; 95% CI, 0.50 to 1.63), and had lower mental health-related quality of life (β, -2.15; 95% CI, -2.87 to -1.42) compared with the reference.
These findings suggest that social risk profiles can be identified according to social, psychological, and behavioral risk domains and the health outcome of concern among adults with diabetes. Future work should consider the use of social risk profiles in intervention development and testing.
目前尚不存在明确的流程来对社会风险进行分类,以提供有效的社会风险筛查和干预措施制定依据。
使用潜在剖面分析调查成年人糖尿病患者的社会风险特征及其与临床结局的关联。
设计、地点和参与者:这是一项横断面研究,对 2013 年至 2014 年在美国东南部的 2 个初级保健诊所收集的 2 型糖尿病成年人的数据进行了潜在剖面分析。数据分析于 2023 年 11 月至 12 月进行。
参与者在社会决定因素的 5 个领域内完成了 26 个社会风险因素的有效问卷:社会经济、邻里关系、教育、食品和社会与社区环境。此外,参与者还完成了评估心理风险和行为风险的问题。采用 3 步潜在剖面分析确定样本中的不同亚组。然后将各剖面与血红蛋白 A1c(HbA1c)、血压和生活质量的结局进行回归分析。
共纳入 615 名参与者(平均[标准差]年龄,61.3[10.9]岁;379 名男性[61.6%])。确定了 5 个潜在的类别。风险最低的组与具有较高邻里风险的组相比,心理健康相关生活质量显著更高(β,1.11;95%置信区间,0.67 至 1.55)。第二组经济风险低,但邻里风险高,作为参照组。第三组经济和邻里风险高,血压显著更高(β,8.08;95%置信区间,2.16 至 14.01),与参照组相比。第四组心理和行为风险高,但社会经济和邻里风险低。该组的 HbA1c 显著更高(β,0.47;95%置信区间,0.01 至 0.92),心理健康相关生活质量显著更低(β,-1.83;95%置信区间,-2.41 至-1.24),与参照组相比。风险最高的组在所有领域都显示出高风险,HbA1c 显著更高(β,1.07;95%置信区间,0.50 至 1.63),心理健康相关生活质量显著更低(β,-2.15;95%置信区间,-2.87 至-1.42),与参照组相比。
这些发现表明,可以根据成年人糖尿病患者的社会、心理和行为风险领域以及关注的健康结果确定社会风险概况。未来的工作应考虑在干预措施的制定和测试中使用社会风险概况。