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Tran M, Miner A, Merkel C, Sakurai K, Woon J, Ayala J, Nguyen J, Lopez J, Friedlich P, Votava-Smith JK, Tran NN. Sociodemographic profile associated with congenital heart disease among infants <1 year old. J Pediatr Nurs 2023; 73:e618-e623. [PMID: 37957083 PMCID: PMC10841755 DOI: 10.1016/j.pedn.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 11/01/2023] [Accepted: 11/05/2023] [Indexed: 11/15/2023]
Abstract
PURPOSE Congenital heart disease affects thousands of newborns each year in the United States. Previous United States-based research has explored how sociodemographic factors may impact health outcomes in infants with congenital heart disease; however, their impact on the incidence of congenital heart disease is unclear. We explored the sociodemographic profile related to congenital heart disease to help address health disparities that arise from race and social determinants of health. Defining the sociodemographic factors associated with congenital heart disease will encourage implementation of potential preventative measures. DESIGN AND METHODS We conducted a secondary analysis of longitudinally collected data comparing 39 infants with congenital heart disease and 30 healthy controls. We used a questionnaire to collect sociodemographic data. Pearson's chi-square test/Fisher's exact tests analyzed the associations among different sociodemographic factors between infants with congenital heart disease and healthy controls. RESULTS We found a statistically significant difference in maternal education between our 2 groups of infants (p = 0.004). CONCLUSION Maternal education was associated with congenital heart disease. Future studies are needed to further characterize sociodemographic factors that may predict and impact the incidence of congenital heart disease and to determine possible interventions that may help decrease health disparities regarding the incidence of congenital heart disease. PRACTICE IMPLICATIONS Understanding the associations between maternal sociodemographic factors and infant congenital heart disease would allow clinicians to identify mothers at higher risk of having an infant with congenital heart disease.
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Affiliation(s)
- Michelle Tran
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California (KSOM USC) and Division of Research on Children, Youth, and Families, The Saban Research Institute, Children's Hospital Los Angeles (CHLA), Los Angeles, CA, United States of America.
| | - Anna Miner
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California (KSOM USC) and Division of Research on Children, Youth, and Families, The Saban Research Institute, Children's Hospital Los Angeles (CHLA), Los Angeles, CA, United States of America
| | - Carlin Merkel
- Department of Medicine, KSOM USC and Division of Research on Children, Youth, and Families, The Saban Research Institute, CHLA, Los Angeles, CA, United States of America
| | - Kenton Sakurai
- Department of Medicine, KSOM USC and Division of Research on Children, Youth, and Families, The Saban Research Institute, CHLA, Los Angeles, CA, United States of America
| | - Jessica Woon
- Department of Biological Sciences, USC Dornsife College of Letters, Arts, and Sciences and Division of Research on Children, Youth, and Families, The Saban Research Institute, CHLA, Los Angeles, CA, United States of America
| | - John Ayala
- Cardiac Registry Support, St. Cloud, MN, United States of America
| | - Jennifer Nguyen
- Department of Health and Human Sciences, USC Dornsife College of Letters, Arts, and Sciences and Division of Research on Children, Youth, and Families, The Saban Research Institute, CHLA, Los Angeles, CA, United States of America
| | - Jeraldine Lopez
- Division of Research on Children, Youth, and Families, The Saban Research Institute, CHLA, Los Angeles, CA, United States of America
| | - Philippe Friedlich
- Fetal and Neonatal Institute, Division of Neonatology, CHLA, and Department of Pediatrics, KSOM USC, Los Angeles, CA, United States of America
| | - Jodie K Votava-Smith
- Division of Cardiology, CHLA and KSOM USC, Los Angeles, CA, United States of America
| | - Nhu N Tran
- Division of Neonatology, CHLA, and KSOM USC, Los Angeles, CA, United States of America
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Tran M, Miner A, Merkel C, Sakurai K, Woon J, Ayala J, Nguyen J, Lopez J, Votava-Smith JK, Tran NN. Sociodemographic Profile Associated with Congenital Heart Disease among Infants Less than 1 Year Old. RESEARCH SQUARE 2023:rs.3.rs-2548938. [PMID: 36798365 PMCID: PMC9934769 DOI: 10.21203/rs.3.rs-2548938/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Background Congenital heart disease (CHD) affects thousands of newborns each year in the United States (US). Infants born with CHD have an increased risk of adverse health outcomes compared to healthy infants. These outcomes include, but are not limited to, neurodevelopmental, surgical, and mortality-related outcomes. Previous US-based research has explored how sociodemographic factors may impact these health outcomes in infants with CHD; however, their impact on the risk of CHD is unclear. This study aims to explore the sociodemographic profile related to CHD to help address health disparities that arise from race and social determinants of health. Defining the sociodemographic factors associated with CHD will encourage policy change and the implementation of preventative measures. Methods This study is a secondary analysis of longitudinally collected data. We compared infants with CHD and healthy controls. We used a questionnaire to collect sociodemographic data. Pearson's chi-square test/Fisher's exact tests analyzed the associations among different sociodemographic factors between infants with CHD and healthy controls. Results We obtained sociodemographic factors from 30 healthy control infants and 39 infants with CHD. We found a statistically significant difference in maternal education between our 2 groups of infants (p=0.004). Conclusion Maternal education is associated with CHD. Future studies are needed to further characterize sociodemographic factors that may predict and impact the risk of CHD and to determine possible interventions that may help decrease health disparities regarding the risk of CHD.
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Affiliation(s)
- Michelle Tran
- University of Southern California/Children's Hospital of Los Angeles
| | - Anna Miner
- University of Southern California/Children's Hospital of Los Angeles
| | - Carlin Merkel
- University of Southern California/Children's Hospital of Los Angeles
| | - Kenton Sakurai
- University of Southern California/Children's Hospital of Los Angeles
| | - Jessica Woon
- University of Southern California/Children's Hospital of Los Angeles
| | | | - Jennifer Nguyen
- University of Southern California/Children's Hospital of Los Angeles
| | | | | | - Nhu N Tran
- University of Southern California/Children's Hospital of Los Angeles
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