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Source: Biodemography and Social Biology
Resulting in 2 citations.
1. Jones, Antwan
Parental Socioeconomic Instability and Child Obesity
Biodemography and Social Biology 64,1 (May 2018): 15-29.
Also: https://www.tandfonline.com/doi/abs/10.1080/19485565.2018.1449630
Cohort(s): Children of the NLSY79, NLSY79, NLSY79 Young Adult
Publisher: Taylor & Francis
Keyword(s): Body Mass Index (BMI); Modeling, Mixed Effects; Obesity; Parental Influences; Socioeconomic Background; Socioeconomic Status (SES)

Using data from the 1986 to 2010 National Longitudinal Study of Youth (NLSY) and the NLSY Child and Young Adult Supplement, this research explores how changes in parental socioeconomic status relate to child obesity over time. Results from linear mixed-effects models indicate that maternal educational gains and maternal employment transitions significantly increased their child’s body mass index (BMI). This finding suggests that mothers who work may have less time to devote to monitoring their child's food intake and physical activity, which places their children at higher risks of becoming overweight or obese over time. Conversely, father’s work transitions and educational gains contribute to decreases in child's BMI. Thus, work instability and increasing educational attainment for the traditional breadwinner of the household corresponds to better child weight outcomes. Results also suggest that there are racial differences in child BMI that remain after adjusting for changes in socioeconomic status, which indicate that the same structural disadvantages that operate to keep minorities in lower social class standings in society also work to hinder minorities from advancing among and out of their social class. Policy implications related to curbing child obesity are discussed.
Bibliography Citation
Jones, Antwan. "Parental Socioeconomic Instability and Child Obesity." Biodemography and Social Biology 64,1 (May 2018): 15-29.
2. Miller, Warren B.
Rodgers, Joseph Lee
Pasta, David J.
The Fertility Motivations of Youth Predict Later Fertility Outcomes: A Prospective Analysis of National Longitudinal Survey of Youth Data
Biodemography and Social Biology 56,1 (January 2010): 1-23.
Also: http://www.tandfonline.com/doi/abs/10.1080/19485561003709131
Cohort(s): NLSY79
Publisher: Taylor & Francis
Keyword(s): Childbearing; Fertility; Gender Attitudes/Roles; Gender Differences; Modeling

We examine how the motivational sequence that leads to childbearing predicts fertility outcomes across reproductive careers. Using a motivational traits-desires-intentions theoretical framework, we test a structural equation model using prospective male and female data from the National Longitudinal Survey of Youth. Specifically, we take motivational data collected during the 1979-1982 period, when the youths were in their teens and early twenties, to predict the timing of the next child born after 1982 and the total number of children born by 2002. Separate models were estimated for males and females but with equality constraints imposed unless relaxing these constraints improved the overall model fit. The results indicate substantial explanatory power of fertility motivations for both short-term and long-term fertility outcomes. They also reveal the effects of both gender role attitude and educational intentions on these outcomes. Although some gender differences in model pathways occurred, the primary hypothesized pathways were essentially the same across the genders. Two validity sub-studies support the soundness of the results. A third sub-study comparing the male and female models across the sample split on the basis of previous childbearing revealed a number of pattern differences within the four gender-by-previous childbearing groups. Several of the more robust of these pattern differences offer interesting insights and support the validity and usefulness of our theoretical framework. [ABSTRACT FROM AUTHOR]
Bibliography Citation
Miller, Warren B., Joseph Lee Rodgers and David J. Pasta. "The Fertility Motivations of Youth Predict Later Fertility Outcomes: A Prospective Analysis of National Longitudinal Survey of Youth Data." Biodemography and Social Biology 56,1 (January 2010): 1-23.