expectant mothers maximizing opportunities: maternal characteristics moderate multifactorial prenatal stress in the prediction of birth weight in a sample of children adopted at birth.

Clicks: 162
ID: 137523
2015
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
BACKGROUND:Mothers' stress in pregnancy is considered an environmental risk factor in child development. Multiple stressors may combine to increase risk, and maternal personal characteristics may offset the effects of stress. This study aimed to test the effect of 1) multifactorial prenatal stress, integrating objective "stressors" and subjective "distress" and 2) the moderating effects of maternal characteristics (perceived social support, self-esteem and specific personality traits) on infant birthweight. METHOD:Hierarchical regression modeling was used to examine cross-sectional data on 403 birth mothers and their newborns from an adoption study. RESULTS:Distress during pregnancy showed a statistically significant association with birthweight (R2 = 0.032, F(2, 398) = 6.782, p = .001). The hierarchical regression model revealed an almost two-fold increase in variance of birthweight predicted by stressors as compared with distress measures (R2Δ = 0.049, F(4, 394) = 5.339, p < .001). Further, maternal characteristics moderated this association (R2Δ = 0.031, F(4, 389) = 3.413, p = .009). Specifically, the expected benefit to birthweight as a function of higher SES was observed only for mothers with lower levels of harm-avoidance and higher levels of perceived social support. Importantly, the results were not better explained by prematurity, pregnancy complications, exposure to drugs, alcohol or environmental toxins. CONCLUSIONS:The findings support multidimensional theoretical models of prenatal stress. Although both objective stressors and subjectively measured distress predict birthweight, they should be considered distinct and cumulative components of stress. This study further highlights that jointly considering risk factors and protective factors in pregnancy improves the ability to predict birthweight.
Reference Key
brotnow2015plosexpectant Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Line Brotnow;David Reiss;Carla S Stover;Jody Ganiban;Leslie D Leve;Jenae M Neiderhiser;Daniel S Shaw;Hanna E Stevens
Journal ensaio pesquisa em educação em ciências
Year 2015
DOI 10.1371/journal.pone.0141881
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.