Area-Based Sociodemographic Factors Associated with Latent Tuberculosis Infection in a Low-Prevalence Setting

Author:

Campbell Jeffrey I.12,Tabatneck Mary3,Wilt Grete E.4,Sun Mingwei5,He Wei6,Musinguzi Nicholas7,Hedt-Gauthier Bethany8,Lamb Gabriella S.9,Goldmann Don9,Sabharwal Vishakha12,Sandora Thomas J.9,Haberer Jessica E.10

Affiliation:

1. Section of Pediatric Infectious Diseases, Boston Medical Center, Boston, Massachusetts;

2. Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts;

3. Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts;

4. Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts;

5. Center for Research Information Technology, Boston Children’s Hospital, Boston, Massachusetts;

6. Center for Research Information Science and Computing, Massachusetts General Hospital, Boston, Massachusetts;

7. Global Health Collaborative, Mbarara University of Science and Technology, Mbarara, Uganda;

8. Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts;

9. Division of Infectious Diseases, Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts;

10. Center for Global Health, Massachusetts General Hospital, Boston, Massachusetts

Abstract

ABSTRACT. 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.

Publisher

American Society of Tropical Medicine and Hygiene

Subject

Virology,Infectious Diseases,Parasitology

Reference23 articles.

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