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Published on: July 10, 2017
Cortisol and socioeconomic status in early childhood: A multidimensional assessment
Amanda R Tarullo1,2, Charu T Tuladhar1, Katie Kao3
1Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
Insights
Low socioeconomic status impacts children's stress hormone levels. Factors like neighborhood risk and household chaos are key contributors to cortisol dysregulation in early childhood.
Area of Science:
- Developmental Psychology
- Endocrinology
- Public Health
Background:
- The hypothalamic-pituitary-adrenal (HPA) axis is crucial for stress response and is sensitive to early life adversity.
- Low socioeconomic status (SES) is linked to cortisol dysregulation in children, but the underlying mechanisms require further investigation.
- A comprehensive understanding necessitates multidimensional assessments of both SES and cortisol in early childhood.
Purpose of the Study:
- To investigate the relationship between multidimensional socioeconomic status (SES) and cortisol levels in infants and young children.
- To identify specific SES factors that predict chronic and diurnal cortisol measures.
- To explore the role of parental sensitivity in mediating the SES-cortisol association.
Main Methods:
- Assessed parent-reported SES including income, education, occupation, neighborhood risk, food insecurity, and household chaos in families with 12-month-old infants and 3.5-year-old children.
- Measured chronic stress via parent and child hair cortisol concentration (HCC).
- Measured diurnal cortisol patterns using salivary cortisol concentration (SCC) in children.
Main Results:
- Parent education predicted infant and child HCC, while neighborhood risk predicted infant HCC, even after controlling for parental HCC.
- Household chaos was associated with lower bedtime SCC in both age groups and reduced infant daily cortisol output.
- Food insecurity correlated with a flattened cortisol slope in 3.5-year-old children, and parental sensitivity did not mediate SES-cortisol relations.
Conclusions:
- Multidimensional SES measures, particularly those reflecting unpredictable and unsafe environments like neighborhood risk, food insecurity, and household chaos, are vital for understanding cortisol dysregulation in early development.
- These findings underscore the importance of considering environmental factors beyond income and education when examining the impact of SES on children's biological stress systems.
- Targeting interventions to mitigate risks associated with neighborhood safety, food security, and household stability may be crucial for promoting healthy HPA axis function in vulnerable children.
Abstract:
The hypothalamic-pituitary-adrenal (HPA) axis is sensitive to early life stress, with enduring consequences for biological stress vulnerability and health (Gunnar & Talge, 2008). Low socioeconomic status (SES) is associated with dysregulation of the stress hormone cortisol in early childhood. However, a mechanistic understanding of this association is lacking. Multidimensional assessment of both SES and cortisol is needed to characterize the intricate relations between SES and cortisol function in early childhood. We assessed parent-reported family income, parent education, occupational prestige, neighborhood risk, food insecurity, and household chaos for 12-month-old infants (N = 90) and 3.5-year-old children (N = 91). Hair cortisol concentration (HCC) was obtained from parent and child, indexing chronic biological stress, and diurnal salivary cortisol was measured in the children. Controlling for parent HCC, parent education uniquely predicted infant and child HCC and, in addition, neighborhood risk uniquely predicted infant HCC. Household chaos predicted bedtime salivary cortisol concentration (SCC) for both infants and children, and infant daily cortisol output. Food insecurity was associated with flattened cortisol slope in 3.5-year-old children. Parental sensitivity did not mediate relations between SES and cortisol. Results highlight the utility of SES measures that index unpredictable and unsafe contexts, such as neighborhood risk, food insecurity, and household chaos.
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