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Sibling Competition & Growth Tradeoffs. Biological vs. Statistical Significance

Early childhood growth has many downstream effects on future health and reproduction and is an important measure of offspring quality. While a tradeoff between family size and child growth outcomes is theoretically predicted in high-fertility societies, empirical evidence is mixed. This is often att...

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Autores principales: Kramer, Karen L., Veile, Amanda, Otárola-Castillo, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777386/
https://www.ncbi.nlm.nih.gov/pubmed/26938742
http://dx.doi.org/10.1371/journal.pone.0150126
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author Kramer, Karen L.
Veile, Amanda
Otárola-Castillo, Erik
author_facet Kramer, Karen L.
Veile, Amanda
Otárola-Castillo, Erik
author_sort Kramer, Karen L.
collection PubMed
description Early childhood growth has many downstream effects on future health and reproduction and is an important measure of offspring quality. While a tradeoff between family size and child growth outcomes is theoretically predicted in high-fertility societies, empirical evidence is mixed. This is often attributed to phenotypic variation in parental condition. However, inconsistent study results may also arise because family size confounds the potentially differential effects that older and younger siblings can have on young children’s growth. Additionally, inconsistent results might reflect that the biological significance associated with different growth trajectories is poorly understood. This paper addresses these concerns by tracking children’s monthly gains in height and weight from weaning to age five in a high fertility Maya community. We predict that: 1) as an aggregate measure family size will not have a major impact on child growth during the post weaning period; 2) competition from young siblings will negatively impact child growth during the post weaning period; 3) however because of their economic value, older siblings will have a negligible effect on young children’s growth. Accounting for parental condition, we use linear mixed models to evaluate the effects that family size, younger and older siblings have on children’s growth. Congruent with our expectations, it is younger siblings who have the most detrimental effect on children’s growth. While we find statistical evidence of a quantity/quality tradeoff effect, the biological significance of these results is negligible in early childhood. Our findings help to resolve why quantity/quality studies have had inconsistent results by showing that sibling competition varies with sibling age composition, not just family size, and that biological significance is distinct from statistical significance.
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spelling pubmed-47773862016-03-10 Sibling Competition & Growth Tradeoffs. Biological vs. Statistical Significance Kramer, Karen L. Veile, Amanda Otárola-Castillo, Erik PLoS One Research Article Early childhood growth has many downstream effects on future health and reproduction and is an important measure of offspring quality. While a tradeoff between family size and child growth outcomes is theoretically predicted in high-fertility societies, empirical evidence is mixed. This is often attributed to phenotypic variation in parental condition. However, inconsistent study results may also arise because family size confounds the potentially differential effects that older and younger siblings can have on young children’s growth. Additionally, inconsistent results might reflect that the biological significance associated with different growth trajectories is poorly understood. This paper addresses these concerns by tracking children’s monthly gains in height and weight from weaning to age five in a high fertility Maya community. We predict that: 1) as an aggregate measure family size will not have a major impact on child growth during the post weaning period; 2) competition from young siblings will negatively impact child growth during the post weaning period; 3) however because of their economic value, older siblings will have a negligible effect on young children’s growth. Accounting for parental condition, we use linear mixed models to evaluate the effects that family size, younger and older siblings have on children’s growth. Congruent with our expectations, it is younger siblings who have the most detrimental effect on children’s growth. While we find statistical evidence of a quantity/quality tradeoff effect, the biological significance of these results is negligible in early childhood. Our findings help to resolve why quantity/quality studies have had inconsistent results by showing that sibling competition varies with sibling age composition, not just family size, and that biological significance is distinct from statistical significance. Public Library of Science 2016-03-03 /pmc/articles/PMC4777386/ /pubmed/26938742 http://dx.doi.org/10.1371/journal.pone.0150126 Text en © 2016 Kramer et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kramer, Karen L.
Veile, Amanda
Otárola-Castillo, Erik
Sibling Competition & Growth Tradeoffs. Biological vs. Statistical Significance
title Sibling Competition & Growth Tradeoffs. Biological vs. Statistical Significance
title_full Sibling Competition & Growth Tradeoffs. Biological vs. Statistical Significance
title_fullStr Sibling Competition & Growth Tradeoffs. Biological vs. Statistical Significance
title_full_unstemmed Sibling Competition & Growth Tradeoffs. Biological vs. Statistical Significance
title_short Sibling Competition & Growth Tradeoffs. Biological vs. Statistical Significance
title_sort sibling competition & growth tradeoffs. biological vs. statistical significance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777386/
https://www.ncbi.nlm.nih.gov/pubmed/26938742
http://dx.doi.org/10.1371/journal.pone.0150126
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