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Updated: Sep 19, 2025

Author Spotlight: Implications of Non-Nutritive Sucking on Speech Emergence and Infant Development
Published on: April 19, 2024
Examining the association between gestational phenol exposure and infant non-nutritive suck in two Environmental
Megan L Woodbury1,2,3, Andréa Aguiar3,4, Sarah Dee Geiger3,5
1College of Engineering, Northeastern University, Boston, Massachusetts.
Insights
Prenatal exposure to phenols, like bisphenol-F and triclosan, can alter infant non-nutritive suck (NNS) patterns. These findings highlight potential neurodevelopmental impacts from environmental exposures during pregnancy.
Area of Science:
- Environmental Health
- Developmental Neuroscience
- Toxicology
Background:
- Non-nutritive suck (NNS) is a sensitive indicator of infant neurofunction.
- Prenatal environmental exposures can impact fetal development.
- Phenols are common environmental contaminants with potential health effects.
Purpose of the Study:
- To investigate the association between gestational phenol exposure and infant NNS patterns.
- To identify specific phenols that affect NNS characteristics.
- To explore the effects of phenol mixtures on NNS.
Main Methods:
- Utilized data from two prospective cohorts within the Environmental influences on Child Health Outcomes Program.
- Measured 11 phenols and triclocarban in maternal urine during pregnancy.
- Assessed NNS patterns in infants aged 1-8 weeks using a custom pacifier.
Main Results:
- Bisphenol-F exposure was linked to lower NNS frequency.
- Triclosan exposure was associated with higher NNS frequency.
- Mixture analyses indicated that higher overall phenol concentrations were associated with lower NNS amplitude but more bursts per minute and cycles per burst.
Conclusions:
- Gestational phenol exposure is associated with altered NNS patterns in neonates.
- Specific phenols and their mixtures may impact infant neurobehavior.
- Further research is needed to understand mechanisms and long-term neurodevelopmental consequences.
Background:
Non-nutritive suck (NNS) is a measure of neurofunction sensitive to environmental exposures in utero. This study aimed to evaluate the relationship between gestational phenol exposure and NNS patterning.
Methods:
Mother-infant pairs from two diverse prospective cohorts were enrolled in the Environmental influences on Child Health Outcomes Program. Phenols were measured in prenatal maternal urine samples and adjusted for specific gravity. NNS was sampled in 1-8-week-old infants using a custom pacifier for ~5 minutes. Associations of 11 phenols and triclocarban with 5 NNS outcomes were assessed individually and as a mixture using generalized linear models adjusted for cohort, child sex and assessment age, and maternal age and education.
Results:
Altogether, 215 mother-infant pairs were included. Bisphenol-F was related to a lower NNS frequency. Triclosan was associated with a higher NNS frequency. Propylparaben, 2,4-dichlorophenol, and 2,5-dichlorophenol were associated with lower NNS amplitude. Benzophenone-3, 2,4-dichlorophenol, and 2,5-dichlorophenol were related to more NNS bursts/minute. Propylparaben was associated with more NNS cycles/bursts. Seven phenols were included in mixture analyses: 2,4-dichlorophenol, 2,5-dichlorophenol, benzophenone-3, bisphenol-A, bisphenol-S, methylparaben, and propylparaben. Both Bayesian kernel machine regression and quantile g-computation showed that higher concentrations of the mixture were associated with lower amplitude but more bursts/minute and cycles/burst. Propylparaben was important in the overall mixture effect on amplitude, whereas benzophenone-3 was important in the relationship with bursts/minute.
Conclusions:
Gestational phenol exposure is linked to altered NNS patterning in neonates. Future work should further investigate phenol mixture effects, potential mechanisms, and the association of altered NNS with neurodevelopment.
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