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Modeling lifetime abuse and cardiovascular disease risk among women
BACKGROUND: Cardiovascular disease (CVD) is one of the most significant health challenges facing women today. Abuse is a serious gendered issue also affecting the health of women. Despite beginning evidence that abuse may increase the risk of CVD among women, causal pathways linking abuse to CVD hav...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796408/ https://www.ncbi.nlm.nih.gov/pubmed/31619166 http://dx.doi.org/10.1186/s12872-019-1196-y |
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author | Scott-Storey, Kelly A. Hodgins, Marilyn Wuest, Judith |
author_facet | Scott-Storey, Kelly A. Hodgins, Marilyn Wuest, Judith |
author_sort | Scott-Storey, Kelly A. |
collection | PubMed |
description | BACKGROUND: Cardiovascular disease (CVD) is one of the most significant health challenges facing women today. Abuse is a serious gendered issue also affecting the health of women. Despite beginning evidence that abuse may increase the risk of CVD among women, causal pathways linking abuse to CVD have received little attention. Our purpose was to test Scott-Storey’s conceptual model showing direct and indirect pathways through which lifetime abuse severity may affect women’s CVD risk. METHODS: Using data collected from a community sample of 227 Canadian women who had left an abusive partner, we conducted structural equation modeling with latent growth curve analysis using a phantom variable approach to test the direct effects of severity of lifetime abuse on CVD risk (indicated by measures of systolic and diastolic blood pressure) as well as its indirect effects through CVD risk behaviors and through women’s initial level of depressive symptoms and the observed rate of change in their depressive symptoms over time. RESULTS: Women in this sample had above average CVD risk factors (i.e., smoking, overweight/obesity, depressive symptoms, high blood pressure) in comparison to women in the general population. Further, CVD risk behaviors increased with severity of lifetime abuse and remained present long after leaving the abusive relationship. Results of the tested model provide preliminary evidence supporting many of the hypothesized pathways by which severity of lifetime abuse can increase CVD risk among women; the model fit the data reasonably well explaining 41% of the variance in CVD risk. CONCLUSIONS: Findings support the growing recognition of the long-term effects of lifetime abuse on cardiovascular health, suggest important implications for clinicians working with women, and provide a novel approach for studying the concept of cumulative lifetime abuse through the use of a phantom variable. |
format | Online Article Text |
id | pubmed-6796408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67964082019-10-21 Modeling lifetime abuse and cardiovascular disease risk among women Scott-Storey, Kelly A. Hodgins, Marilyn Wuest, Judith BMC Cardiovasc Disord Research Article BACKGROUND: Cardiovascular disease (CVD) is one of the most significant health challenges facing women today. Abuse is a serious gendered issue also affecting the health of women. Despite beginning evidence that abuse may increase the risk of CVD among women, causal pathways linking abuse to CVD have received little attention. Our purpose was to test Scott-Storey’s conceptual model showing direct and indirect pathways through which lifetime abuse severity may affect women’s CVD risk. METHODS: Using data collected from a community sample of 227 Canadian women who had left an abusive partner, we conducted structural equation modeling with latent growth curve analysis using a phantom variable approach to test the direct effects of severity of lifetime abuse on CVD risk (indicated by measures of systolic and diastolic blood pressure) as well as its indirect effects through CVD risk behaviors and through women’s initial level of depressive symptoms and the observed rate of change in their depressive symptoms over time. RESULTS: Women in this sample had above average CVD risk factors (i.e., smoking, overweight/obesity, depressive symptoms, high blood pressure) in comparison to women in the general population. Further, CVD risk behaviors increased with severity of lifetime abuse and remained present long after leaving the abusive relationship. Results of the tested model provide preliminary evidence supporting many of the hypothesized pathways by which severity of lifetime abuse can increase CVD risk among women; the model fit the data reasonably well explaining 41% of the variance in CVD risk. CONCLUSIONS: Findings support the growing recognition of the long-term effects of lifetime abuse on cardiovascular health, suggest important implications for clinicians working with women, and provide a novel approach for studying the concept of cumulative lifetime abuse through the use of a phantom variable. BioMed Central 2019-10-16 /pmc/articles/PMC6796408/ /pubmed/31619166 http://dx.doi.org/10.1186/s12872-019-1196-y Text en © The Author(s). 2019 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 Article Scott-Storey, Kelly A. Hodgins, Marilyn Wuest, Judith Modeling lifetime abuse and cardiovascular disease risk among women |
title | Modeling lifetime abuse and cardiovascular disease risk among women |
title_full | Modeling lifetime abuse and cardiovascular disease risk among women |
title_fullStr | Modeling lifetime abuse and cardiovascular disease risk among women |
title_full_unstemmed | Modeling lifetime abuse and cardiovascular disease risk among women |
title_short | Modeling lifetime abuse and cardiovascular disease risk among women |
title_sort | modeling lifetime abuse and cardiovascular disease risk among women |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796408/ https://www.ncbi.nlm.nih.gov/pubmed/31619166 http://dx.doi.org/10.1186/s12872-019-1196-y |
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