Section of Pediatric Infectious Diseases, Boston Medical Center, Boston, Massachusetts.
Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts.
Am J Trop Med Hyg. 2023 Aug 14;109(3):595-599. doi: 10.4269/ajtmh.22-0788. Print 2023 Sep 6.
Area-based sociodemographic markers, such as census tract foreign-born population, have been used to identify individuals and communities with a high risk for tuberculosis (TB) infection in the United States. However, these markers have not been evaluated as independent risk factors for TB infection in children. We evaluated associations between census tract poverty, crowding, foreign-born population, and the CDC's Social Vulnerability Index (CDC-SVI) ranking and TB infection in a population of children tested for TB infection in Boston, Massachusetts. After adjustment for age, crowding, and foreign-born percentage, increasing census tract poverty was associated with increased odds of TB infection (adjusted odds ratio [aOR] per 10% increase in population proportion living in poverty: 1.20 [95% CI, 1.04-1.40]; P = 0.01), although this association was attenuated after further adjustment for preferred language. In separate models, increasing CDC-SVI ranking was associated with increased odds of TB infection, including after adjustment for age and language preference (aOR per 10-point increase in CDC-SVI rank: 1.08 [95% CI, 1.02-1.15]; P = 0.01). Our findings suggest area-based sociodemographic factors may be valuable for characterizing TB infection risk and defining the social ecology of pediatric TB infection in low-burden settings.
基于区域的社会人口学标志物,如普查区的外国出生人口,已被用于识别美国具有高结核(TB)感染风险的个体和社区。然而,这些标志物尚未被评估为儿童 TB 感染的独立危险因素。我们评估了马萨诸塞州波士顿的儿童结核病感染检测人群中,普查区贫困、拥挤、外国出生人口以及疾病预防控制中心的社会脆弱性指数(CDC-SVI)排名与 TB 感染之间的关联。在调整年龄、拥挤和外国出生比例后,普查区贫困程度增加与 TB 感染的几率增加相关(每增加 10%生活在贫困中的人口比例,调整后的优势比[aOR]:1.20[95%CI,1.04-1.40];P = 0.01),尽管这种关联在进一步调整首选语言后减弱。在单独的模型中,CDC-SVI 排名的增加与 TB 感染几率的增加相关,包括在调整年龄和语言偏好后(每增加 10 分 CDC-SVI 等级的调整后的优势比[aOR]:1.08[95%CI,1.02-1.15];P = 0.01)。我们的研究结果表明,基于区域的社会人口学因素可能有助于描述 TB 感染风险,并定义低负担环境中儿童 TB 感染的社会生态。