Prenatal exposure to social adversity and infant cortisol in the first year of life.
Victoria F KeetonThomas J HoffmannKalisha Moneé GoodwinBree PowellSophia TupuolaSandra J WeissPublished in: Stress (Amsterdam, Netherlands) (2024)
Exposure to social adversity has been associated with cortisol dysregulation during pregnancy and in later childhood; less is known about how prenatal exposure to social stressors affects postnatal cortisol of infants. In a secondary analysis of data from a longitudinal study, we tested whether a pregnant woman's reports of social adversity during the third trimester were associated with their infant's resting cortisol at 1, 6, and 12 months postnatal. Our hypothesis was that prenatal exposure to social adversity would be associated with elevation of infants' cortisol. Measures included prenatal survey reports of social stressors and economic hardship, and resting cortisol levels determined from infant saliva samples acquired at each postnatal timepoint. Data were analyzed using linear mixed effects models. The final sample included 189 women and their infants (46.56% assigned female sex at birth). Prenatal economic hardship was significantly associated with infant cortisol at 6 months postnatal; reports of social stressors were not significantly associated with cortisol at any time point. Factors associated with hardship, such as psychological distress or nutritional deficiencies, may alter fetal HPA axis development, resulting in elevated infant cortisol levels. Developmental changes unique to 6 months of age may explain effects at this timepoint. More work is needed to better comprehend the complex pre- and post-natal physiologic and behavioral factors that affect infant HPA axis development and function, and the modifying role of environmental exposures.
Keyphrases
- healthcare
- pregnant women
- mental health
- preterm infants
- early life
- emergency department
- metabolic syndrome
- south africa
- air pollution
- pregnancy outcomes
- risk assessment
- big data
- cross sectional
- skeletal muscle
- insulin resistance
- artificial intelligence
- preterm birth
- young adults
- deep learning
- cervical cancer screening