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Assessing Cardiometabolic Health Risk Among U.S. Children Who Live in Grandparent-Headed Households

Many interventions have been designed to leverage parent-caregivers as change agents for improving children’s cardiometabolic health (CMH), however very few have been designed to leverage grandparent-caregivers for that purpose. This is surprising since there has been a steady increase in children l...

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Autores principales: Song, MinKyoung, Lyons, Karen, Hayman, Laura, Dieckmann, Nathan, Musil, Carol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743386/
http://dx.doi.org/10.1093/geroni/igaa057.1689
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author Song, MinKyoung
Lyons, Karen
Hayman, Laura
Dieckmann, Nathan
Musil, Carol
author_facet Song, MinKyoung
Lyons, Karen
Hayman, Laura
Dieckmann, Nathan
Musil, Carol
author_sort Song, MinKyoung
collection PubMed
description Many interventions have been designed to leverage parent-caregivers as change agents for improving children’s cardiometabolic health (CMH), however very few have been designed to leverage grandparent-caregivers for that purpose. This is surprising since there has been a steady increase in children living in grandparent-headed households. As a first step in assessing the potential impact of interventions with grandparent-caregivers, we used data from the National Survey of Children’s Health (2018) to compare CMH measures in children living in grandparent-headed households with CMH measures in children living in parent-headed households. Our hypothesis was that CMH risk might be higher in grandparent households – given that research shows that grandparents taking over caregiving from parents is associated with worse overall health outcomes for both grandparents and their grandchildren. Additionally, since research indicates that children who experience ≥ 4 adverse childhood experiences (ACEs) have significantly worse health outcomes, we assessed levels of ACEs. Our analytic sample included children aged 10-17 years (n=14,941). Adjusting for age, sex, race/ethnicity, and health insurance coverage status, children living in grandparent households were more likely to be obese (Adjusted Odds Ratio [95% confidence interval]= 2.04 [1.02, 4.09]), exposed to secondhand smoke (2.32 [1.49, 3.59]), and less likely to meet recommended age-appropriate standards for sleep (0.42 [0.27, 0.67]). The children living in grandparent households were more likely to experience ≥ 4 ACEs (8.59 [5.42, 13.62]). Our results provide indirect evidence that interventions with grandparent-caregivers may be particularly critical for improving CMH risk in families.
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spelling pubmed-77433862020-12-21 Assessing Cardiometabolic Health Risk Among U.S. Children Who Live in Grandparent-Headed Households Song, MinKyoung Lyons, Karen Hayman, Laura Dieckmann, Nathan Musil, Carol Innov Aging Abstracts Many interventions have been designed to leverage parent-caregivers as change agents for improving children’s cardiometabolic health (CMH), however very few have been designed to leverage grandparent-caregivers for that purpose. This is surprising since there has been a steady increase in children living in grandparent-headed households. As a first step in assessing the potential impact of interventions with grandparent-caregivers, we used data from the National Survey of Children’s Health (2018) to compare CMH measures in children living in grandparent-headed households with CMH measures in children living in parent-headed households. Our hypothesis was that CMH risk might be higher in grandparent households – given that research shows that grandparents taking over caregiving from parents is associated with worse overall health outcomes for both grandparents and their grandchildren. Additionally, since research indicates that children who experience ≥ 4 adverse childhood experiences (ACEs) have significantly worse health outcomes, we assessed levels of ACEs. Our analytic sample included children aged 10-17 years (n=14,941). Adjusting for age, sex, race/ethnicity, and health insurance coverage status, children living in grandparent households were more likely to be obese (Adjusted Odds Ratio [95% confidence interval]= 2.04 [1.02, 4.09]), exposed to secondhand smoke (2.32 [1.49, 3.59]), and less likely to meet recommended age-appropriate standards for sleep (0.42 [0.27, 0.67]). The children living in grandparent households were more likely to experience ≥ 4 ACEs (8.59 [5.42, 13.62]). Our results provide indirect evidence that interventions with grandparent-caregivers may be particularly critical for improving CMH risk in families. Oxford University Press 2020-12-16 /pmc/articles/PMC7743386/ http://dx.doi.org/10.1093/geroni/igaa057.1689 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Song, MinKyoung
Lyons, Karen
Hayman, Laura
Dieckmann, Nathan
Musil, Carol
Assessing Cardiometabolic Health Risk Among U.S. Children Who Live in Grandparent-Headed Households
title Assessing Cardiometabolic Health Risk Among U.S. Children Who Live in Grandparent-Headed Households
title_full Assessing Cardiometabolic Health Risk Among U.S. Children Who Live in Grandparent-Headed Households
title_fullStr Assessing Cardiometabolic Health Risk Among U.S. Children Who Live in Grandparent-Headed Households
title_full_unstemmed Assessing Cardiometabolic Health Risk Among U.S. Children Who Live in Grandparent-Headed Households
title_short Assessing Cardiometabolic Health Risk Among U.S. Children Who Live in Grandparent-Headed Households
title_sort assessing cardiometabolic health risk among u.s. children who live in grandparent-headed households
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743386/
http://dx.doi.org/10.1093/geroni/igaa057.1689
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