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Neighbourhood-level deprivation indices and postpartum women’s health: results from the Community Child Health Network (CCHN) multi-site study
BACKGROUND: Area-level socioeconomic characteristics have been shown to be related to health status and mortality however, little is known about the association between residential community characteristics in relation to postpartum women’s health. METHODS: Data from the longitudinal, multi-site Com...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036181/ https://www.ncbi.nlm.nih.gov/pubmed/32087734 http://dx.doi.org/10.1186/s12955-020-1275-x |
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author | Kaufman-Shriqui, Vered O’Campo, Patricia Misir, Vachan Schafer, Peter Morinis, Julia Vance, Maxine Dunkel Schetter, Christine Raju, Tonse N. K. Hillemeier, Marianne M. Lanzi, Robin Chinchilli, Vernon M. |
author_facet | Kaufman-Shriqui, Vered O’Campo, Patricia Misir, Vachan Schafer, Peter Morinis, Julia Vance, Maxine Dunkel Schetter, Christine Raju, Tonse N. K. Hillemeier, Marianne M. Lanzi, Robin Chinchilli, Vernon M. |
author_sort | Kaufman-Shriqui, Vered |
collection | PubMed |
description | BACKGROUND: Area-level socioeconomic characteristics have been shown to be related to health status and mortality however, little is known about the association between residential community characteristics in relation to postpartum women’s health. METHODS: Data from the longitudinal, multi-site Community Child Health Network (CCHN) study were used. Postpartum women (n = 2510), aged 18–40 were recruited from 2008 to 2012 within a month of delivery. Socioeconomic data was used to create deprivation indices. Census data were analysed using principal components analysis (PCA) and logistic regression to assess the association between deprivation indices (DIs) and various health indicators. RESULTS: PCA resulted in two unique DIs that accounted for 67.5% of the total variance of the combined all-site area deprivation. The first DI was comprised of variables representing a high percentage of Hispanic or Latina, foreign-born individuals, dense households (more than one person per room of residence), with less than a high-school education, and who spent more than 30% of their income on housing costs. The second DI was comprised of a high percentage of African-Americans, single mothers, and high levels of unemployment. In a multivariate logistic regression model, using the quartiles of each DI, women who reside in the geographic area of Q4-Q2 of the second DI, were almost twice as likely to have more than three adverse health conditions compared to those who resided in the least deprived areas. (Q2vs.Q1:OR = 2.09,P = 0.001,Q3vs.Q1:OR = 1.89,P = 0.006,Q4vs.Q1:OR = 1.95,P = 0.004 respectively). CONCLUSIONS: Our results support the utility of examining deprivation indices as predictors of maternal postpartum health. |
format | Online Article Text |
id | pubmed-7036181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70361812020-03-02 Neighbourhood-level deprivation indices and postpartum women’s health: results from the Community Child Health Network (CCHN) multi-site study Kaufman-Shriqui, Vered O’Campo, Patricia Misir, Vachan Schafer, Peter Morinis, Julia Vance, Maxine Dunkel Schetter, Christine Raju, Tonse N. K. Hillemeier, Marianne M. Lanzi, Robin Chinchilli, Vernon M. Health Qual Life Outcomes Research BACKGROUND: Area-level socioeconomic characteristics have been shown to be related to health status and mortality however, little is known about the association between residential community characteristics in relation to postpartum women’s health. METHODS: Data from the longitudinal, multi-site Community Child Health Network (CCHN) study were used. Postpartum women (n = 2510), aged 18–40 were recruited from 2008 to 2012 within a month of delivery. Socioeconomic data was used to create deprivation indices. Census data were analysed using principal components analysis (PCA) and logistic regression to assess the association between deprivation indices (DIs) and various health indicators. RESULTS: PCA resulted in two unique DIs that accounted for 67.5% of the total variance of the combined all-site area deprivation. The first DI was comprised of variables representing a high percentage of Hispanic or Latina, foreign-born individuals, dense households (more than one person per room of residence), with less than a high-school education, and who spent more than 30% of their income on housing costs. The second DI was comprised of a high percentage of African-Americans, single mothers, and high levels of unemployment. In a multivariate logistic regression model, using the quartiles of each DI, women who reside in the geographic area of Q4-Q2 of the second DI, were almost twice as likely to have more than three adverse health conditions compared to those who resided in the least deprived areas. (Q2vs.Q1:OR = 2.09,P = 0.001,Q3vs.Q1:OR = 1.89,P = 0.006,Q4vs.Q1:OR = 1.95,P = 0.004 respectively). CONCLUSIONS: Our results support the utility of examining deprivation indices as predictors of maternal postpartum health. BioMed Central 2020-02-22 /pmc/articles/PMC7036181/ /pubmed/32087734 http://dx.doi.org/10.1186/s12955-020-1275-x Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Kaufman-Shriqui, Vered O’Campo, Patricia Misir, Vachan Schafer, Peter Morinis, Julia Vance, Maxine Dunkel Schetter, Christine Raju, Tonse N. K. Hillemeier, Marianne M. Lanzi, Robin Chinchilli, Vernon M. Neighbourhood-level deprivation indices and postpartum women’s health: results from the Community Child Health Network (CCHN) multi-site study |
title | Neighbourhood-level deprivation indices and postpartum women’s health: results from the Community Child Health Network (CCHN) multi-site study |
title_full | Neighbourhood-level deprivation indices and postpartum women’s health: results from the Community Child Health Network (CCHN) multi-site study |
title_fullStr | Neighbourhood-level deprivation indices and postpartum women’s health: results from the Community Child Health Network (CCHN) multi-site study |
title_full_unstemmed | Neighbourhood-level deprivation indices and postpartum women’s health: results from the Community Child Health Network (CCHN) multi-site study |
title_short | Neighbourhood-level deprivation indices and postpartum women’s health: results from the Community Child Health Network (CCHN) multi-site study |
title_sort | neighbourhood-level deprivation indices and postpartum women’s health: results from the community child health network (cchn) multi-site study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036181/ https://www.ncbi.nlm.nih.gov/pubmed/32087734 http://dx.doi.org/10.1186/s12955-020-1275-x |
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