Child Care and Cortisol Across Infancy and Toddlerhood: Poverty, Peers, and Developmental Timing

AuthorClancy Blair,Douglas A. Granger,Daniel Berry,
Published date01 February 2016
DOIhttp://doi.org/10.1111/fare.12184
Date01 February 2016
D B University of Illinois at Urbana–Champaign
C B New York University
D A. G Arizona State University and Johns Hopkins University∗∗
T F L P K I University of North Carolina at Chapel Hill and
The Pennsylvania State University∗∗∗
Child Care and Cortisol Across Infancy and
Toddlerhood: Poverty, Peers, and Developmental
Timing
Special Issue Guest Editor’s Note: In this arti-
cle the authors examine the extent to which the
link between children’s child care experiences
and their biophysiological functioning differs for
children experiencing heightened levels of con-
textual risk outside of child care. This research
supports the conclusion that the magnitude and
even direction of the link between child care
Department of Educational Psychology, College of
Education, No. 230B, University of Illinois, Urbana–
Champaign, 1310 S. Sixth St., Champaign, IL 61820
(djberry@illinois.edu).
Department of Applied Psychology, New York University,
246 Greene St. Kimball Hall, 8th Floor, New York NY
10003.
∗∗Institute for Interdisciplinary Salivary Bioscience
Research, Arizona State University, 651 E. University
Drive, P.O. Box 871104, Tempe, AZ 85287–1104; and
Center for Interdisciplinary Salivary Bioscience Research,
Johns Hopkins University, 525N. Wolfe St., Baltimore MD
21205.
∗∗∗Center for Developmental Science, 100 E. Franklin St.,
CB8115, Universityof North Carolina at Chapel Hill, Chapel
Hill, NC 27599; and Department of Human Development
and Family Studies, 110 Henderson South, Pennsylvania
State University,University Park, PA 16802.
Key Words: child care, cortisol, cumulative risk, poverty.
hours and children’s cortisol level varied for
children from high- versus low-risk contexts.
In the paired article, “Family Socioeconomic
Status, Immigration, and Children’s Transitions
Into School” (this issue, pp. 73–84), Crosnoe
and Ansari identify the personal, experiential,
and social psychological factors that affect chil-
dren’s transition from early childhood settings
to K–12 education. Their research identies the
effects of high levels of risk on children’s transi-
tion and the impact of this risk on children’saca-
demic trajectory. Crosnoe and Ansari discuss
policy and practice implications of educational
inequities associated with educational stratica-
tion.
A
Evidence suggests that relations between child
care and children’s development—behaviorally
and physiologically—likely differ between chil-
dren from high- versus low-risk contexts. Using
data from the Family Life Project (N=1,155),
the authors tested (a) whether within- and
between-child differences in children’s child
care experiences (i.e., quantity, type, care-
giver responsivity, and peer exposure) were
Family Relations 65 (February 2016): 51–72 51
DOI:10.1111/fare.12184
52 Family Relations
predictive of their cortisol levels across infancy
and toddlerhood and (b) whether these rela-
tions differed for children experiencingdifferent
levels of environmental risk. They found some
evidence of such interactive effects. For children
from high-risk contexts, within-child increases
in child care hours were predictive of cortisol
decreases. The inverse was evident for chil-
dren from low-risk contexts. This relation
grew across toddlerhood. Whereas a history
of greater center-based child care was predic-
tive of heightened cortisol levels for low-risk
families, this was not the case for children
from high-risk families. Irrespective of risk,
greater peer exposure (between children) was
associated with lower cortisol levels.
The elegant coordination of our physiological
stress systems—the fast-acting branches of the
autonomic nervous system (ANS; parasympa-
thetic and sympathetic) and the comparatively
slower hypothalamic–pituitary–adrenal (HPA)
axis—supports our abilities to negotiate the
normative demands of everyday life as well as
adjust to pronounced, real-time threats (Gunnar
& Quevedo, 2007; McEwen, 2000; Sapolsky,
Romero, & Munck, 2000). Ample evidence
illustrates that the development of these sys-
tems is highly regulated by children’s early
experiences, ranging from more distal mark-
ers of adversity (e.g., poverty; Blair & Raver,
2012) to children’s proximal experiences with
meaningful adults (e.g., parental sensitivity;
Gunnar & Vazquez, 2006; Hostinar & Gunnar,
2013). Notably, young children often spend
their time across multiple ecological contexts.
Reecting this, a well-developed literature
indicates that children’s child care experiences
can have similarly pronounced effects on HPA
axis functioning (see Geoffroy, Côté, Parent, &
Séguin, 2006; Phillips, Fox, & Gunnar, 2011;
Vermeer & van IJzendoorn, 2006).
With rare exception, however, the extant
ndings with respect to child care and children’s
adrenocortical functioning have been based on
studies of middle- to upper-income families
(though see Rappolt-Schlichtmann et al., 2009).
There is good reason to suspect that the relation
between children’s child care experiences and
their subsequent development—behaviorally
and physiologically—may be quite different for
children growing up in the context of economic
adversity (Berry et al., 2014, 2016; Côté
et al., 2007; Côté, Borge, Geoffroy, Rutter,
& Tremblay, 2008; Crosby, Dowsett, Gen-
netian, & Huston, 2010; Dearing, McCartney,
& Taylor, 2009; Votruba-Drzal, Coley, &
Chase-Lansdale, 2004). In the present study
we build on this literature substantively and
methodologically by considering (a) the degree
to which such interactive effects between child
care and environmental risk are evident in
infancy and toddlerhood and (b) the extent to
which these relations are robust to model speci-
cations that explicitly disaggregate within- and
between-child relations.
T HPA A A I  E
C
The HPA axis maintains a diurnal rhythm
marked by a daily peak after waking, a sub-
sequent decline over the course of the day,
and a nadir shortly after onset of continu-
ous sleep (Edwards, Evans, Hucklebridge,
& Clow, 2001). The diurnal pattern of HPA
activity plays important roles in a variety of
metabolic, immunological, and psychological
processes that support our day-to-day function-
ing (McEwen, 2000; Miller, Chen, & Parker,
2011). In studies of children, the preferred
assessment method of HPA axis activity is the
collection of saliva and the measurement of
cortisol (Granger et al., 2012). Cortisol is the
“end-product” hormone released into the blood-
stream from the adrenal glands—the nal step
in a biological cascade initiated by the hypotha-
lamus and perpetuated by the pituitary gland. In
addition to supporting the orchestration of sev-
eral other processes (e.g., metabolic, immune,
reproductive, and autonomic processes), mod-
erate cortisol levels are thought to support
effective neural transmission and optimal learn-
ing and high-order cognition (de Kloet, Oitzl, &
Joëls, 1999; Het, Ramlow, & Wolf, 2005).
In times of acute physiological or psycholog-
ical stress, the HPA axis mounts a particularly
pronounced response, culminating in high
levels of cortisol that reach glucocorticoid
receptors throughout the body and brain. Work-
ing with the ANS, these acute HPA stress
responses coordinate the physiological (e.g.,
cardiovascular, immune, energy production/
transportation) and psychological (e.g., atten-
tion, reex) resources needed to overcome
the stressor (Sapolsky et al., 2000). Yet, given
negative feedback processes, high cortisol

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