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Erschienen in: Demography 4/2014

01.08.2014

How Resource Dynamics Explain Accumulating Developmental and Health Disparities for Teen Parents’ Children

verfasst von: Stefanie Mollborn, Elizabeth Lawrence, Laurie James-Hawkins, Paula Fomby

Erschienen in: Demography | Ausgabe 4/2014

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Abstract

This study examines the puzzle of disparities experienced by U.S. teen parents’ young children, whose health and development increasingly lag behind those of peers while their parents are simultaneously experiencing socioeconomic improvements. Using the nationally representative Early Childhood Longitudinal Study-Birth Cohort (2001–2007; N ≈ 8,600), we assess four dynamic patterns in socioeconomic resources that might account for these growing developmental and health disparities throughout early childhood and then test them in multilevel growth curve models. Persistently low socioeconomic resources constituted the strongest explanation, given that consistently low income, maternal education, and assets fully or partially account for growth in cognitive, behavioral, and health disparities experienced by teen parents’ children from infancy through kindergarten. That is, although teen parents gained socioeconomic resources over time, those resources remained relatively low, and the duration of exposure to limited resources explains observed growing disparities. Results suggest that policy interventions addressing the time dynamics of low socioeconomic resources in a household, in terms of both duration and developmental timing, are promising for reducing disparities experienced by teen parents’ children.

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Fußnoten
1
Because of ECLS-B confidentiality requirements, all Ns are rounded to the nearest 50.
 
2
Because we use a growth curve approach, the unit of analysis is person-years rather than individuals, so the analysis sample is 27,900 for reading, 27,850 for math, 29,100 for health and asthma, and 23,500 children for behavior. With each child in the analysis sample providing two to four waves of information, the average number of waves per child is 3.3 for reading and math, 3.4 for health and asthma, and 2.9 for behavior.
 
3
The BSF-R was developed by ECLS-B based on the Bayley Scales of Infant Development, Second Edition (BSID-II).
 
4
The (often copyrighted) items from assessments were not available to users of the data, so we rely on scores constructed by ECLS-B staff using IRT modeling.
 
5
For the Wave 3 measure, we use reports from the early care and education providers (ECEP) when available. Many children who entered kindergarten in Wave 5 were in preschool at Wave 4 but not at Wave 3, and thus would not have information from an ECEP provider in Wave 3. For these children, we fill in data with the ECEP provider information from Wave 4. For children without an ECEP survey in either Wave 3 or Wave 4, we fill in the Wave 3 behavior outcome with an age-adjusted average of their reports from Wave 2 and the kindergarten wave.
 
6
The high proportion of reports of favorable child health necessitated this particular dichotomy; for example, only 3 % of child health reports at Wave 3 fell into the “fair” or “poor” categories.
 
7
Because this question was not asked in the last survey wave, the Wave 4 indicator of asthma is filled in for children who did not enroll in kindergarten until Wave 5.
 
8
Binary logistic regression has advantages for analyzing a dichotomous outcome, but we argue that they are outweighed by the major disadvantage of not being able to include probability or replication weights to adjust for complex survey design. ECLS-B users are strictly advised to incorporate probability weights in their analyses. Additionally, logistic regression is not suitable for making comparisons across different equations for the same outcome (Mood 2010). Because we must compare equations in order to test for mediation of the widening disparity by teen parent status and because of the need to incorporate weights, we use multilevel models for continuous outcomes.
 
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Metadaten
Titel
How Resource Dynamics Explain Accumulating Developmental and Health Disparities for Teen Parents’ Children
verfasst von
Stefanie Mollborn
Elizabeth Lawrence
Laurie James-Hawkins
Paula Fomby
Publikationsdatum
01.08.2014
Verlag
Springer US
Erschienen in
Demography / Ausgabe 4/2014
Print ISSN: 0070-3370
Elektronische ISSN: 1533-7790
DOI
https://doi.org/10.1007/s13524-014-0301-1

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