BACKGROUND: Large disparities in adverse birth outcomes persist between African American and white women in the US despite decades of research, policy, and public health intervention. Allostatic load is an index of dysregulation across multiple physiologic systems that results from chronic exposure to stress in the physical and socio-cultural environment which may lead to earlier health deterioration among racially or socio-economically disadvantaged groups. The purpose of this investigation was to examine relationships between maternal biomarkers of allostatic load prior to conception and the occurrence of preterm birth and small for gestational age infants among a cohort of white and African American women participants in the Bogalusa Heart Study. METHODS: Data from women participants were linked to the birth record of their first-born infant. Principal components analysis was used to construct an index of allostatic load as a summary of the weighted contribution of nine biomarkers representing three physiologic domains: cardiovascular, metabolic, and immune systems. A series of Poisson regression models based on samples ranging from 1467 to 375 women were used to examine race, individual biomarkers of allostatic load, and quartiles of the allostatic load index as predictors of preterm birth (n = 150, 10.2%) and small for gestational age (n = 135, 9.2%). RESULTS: There was no evidence of a relationship between maternal preconception allostatic load and either adverse birth outcome in this sample. Further, there was no evidence of effect modification of by race or education. CONCLUSIONS: More work is needed in understanding the biological mechanisms linking social inequities to racial disparities in adverse birth outcomes.
BACKGROUND: Large disparities in adverse birth outcomes persist between African American and white women in the US despite decades of research, policy, and public health intervention. Allostatic load is an index of dysregulation across multiple physiologic systems that results from chronic exposure to stress in the physical and socio-cultural environment which may lead to earlier health deterioration among racially or socio-economically disadvantaged groups. The purpose of this investigation was to examine relationships between maternal biomarkers of allostatic load prior to conception and the occurrence of preterm birth and small for gestational age infants among a cohort of white and African American womenparticipants in the Bogalusa Heart Study. METHODS: Data from womenparticipants were linked to the birth record of their first-born infant. Principal components analysis was used to construct an index of allostatic load as a summary of the weighted contribution of nine biomarkers representing three physiologic domains: cardiovascular, metabolic, and immune systems. A series of Poisson regression models based on samples ranging from 1467 to 375 women were used to examine race, individual biomarkers of allostatic load, and quartiles of the allostatic load index as predictors of preterm birth (n = 150, 10.2%) and small for gestational age (n = 135, 9.2%). RESULTS: There was no evidence of a relationship between maternal preconception allostatic load and either adverse birth outcome in this sample. Further, there was no evidence of effect modification of by race or education. CONCLUSIONS: More work is needed in understanding the biological mechanisms linking social inequities to racial disparities in adverse birth outcomes.
Authors: Lynne C Messer; Lisa C Vinikoor; Barbara A Laraia; Jay S Kaufman; Janet Eyster; Claudia Holzman; Jennifer Culhane; Irma Elo; Jessica G Burke; Patricia O'Campo Journal: Soc Sci Med Date: 2008-07-19 Impact factor: 4.634
Authors: Lucy C Chappell; Stephen Enye; Paul Seed; Annette L Briley; Lucilla Poston; Andrew H Shennan Journal: Hypertension Date: 2008-02-07 Impact factor: 10.190
Authors: Dorothea Nitsch; Susan Morton; Bianca L DeStavola; Heather Clark; David A Leon Journal: BMC Med Res Methodol Date: 2006-03-22 Impact factor: 4.615
Authors: William A Grobman; Corette Parker; Pathik D Wadhwa; Marian Willinger; Hyagriv Simhan; Bob Silver; Ron J Wapner; Samuel Parry; Brian Mercer; David Haas; Alan M Peaceman; Shannon Hunter; Deborah Wing; Steve Caritis; Sean Esplin; Matt Hoffman; Jack Ludmir; Jay Iams; Emily Long; George Saade; Uma M Reddy Journal: Am J Perinatol Date: 2016-08-08 Impact factor: 1.862
Authors: David M Olson; Emily M Severson; Barbara S E Verstraeten; Jane W Y Ng; J Keiko McCreary; Gerlinde A S Metz Journal: Int J Mol Sci Date: 2015-12-15 Impact factor: 5.923