Cargando…
Intimate partner violence against low-income women in Mexico City and associations with work-related disruptions: a latent class analysis using cross-sectional data
BACKGROUND: Disrupting women’s employment is a strategy that abusive partners could use to prevent women from maintaining economic independence and stability. Yet, few studies have investigated disruptions in employment among victims of intimate partner violence (IPV) in low-income and middle-income...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031258/ https://www.ncbi.nlm.nih.gov/pubmed/29514921 http://dx.doi.org/10.1136/jech-2017-209681 |
_version_ | 1783337286342017024 |
---|---|
author | Gupta, Jhumka Willie, Tiara C Harris, Courtney Campos, Paola Abril Falb, Kathryn L Garcia Moreno, Claudia Diaz Olavarrieta, Claudia Okechukwu, Cassandra A |
author_facet | Gupta, Jhumka Willie, Tiara C Harris, Courtney Campos, Paola Abril Falb, Kathryn L Garcia Moreno, Claudia Diaz Olavarrieta, Claudia Okechukwu, Cassandra A |
author_sort | Gupta, Jhumka |
collection | PubMed |
description | BACKGROUND: Disrupting women’s employment is a strategy that abusive partners could use to prevent women from maintaining economic independence and stability. Yet, few studies have investigated disruptions in employment among victims of intimate partner violence (IPV) in low-income and middle-income countries. Moreover, even fewer have sought to identify which female victims of IPV are most vulnerable to such disruptions. METHODS: Using baseline data from 947 women in Mexico City enrolled in a randomised controlled trial, multilevel latent class analysis (LCA) was used to classify women based on their reported IPV experiences. Furthermore, multilevel logistic regression analyses were performed on a subsample of women reporting current work (n=572) to investigate associations between LCA membership and IPV-related employment disruptions. RESULTS: Overall, 40.6% of women who were working at the time of the survey reported some form of work-related disruption due to IPV. LCA identified four distinct classes of IPV experiences: Low Physical and Sexual Violence (39.1%); High Sexual and Low Physical Violence class (9.6%); High Physical and Low Sexual Violence and Injuries (36.5%); High Physical and Sexual Violence and Injuries (14.8%). Compared with women in the Low Physical and Sexual Violence class, women in the High Physical and Sexual Violence and Injuries class and women in the High Physical and Low Sexual Violence and Injuries class were at greater risk of work disruption (adjusted relative risk (ARR) 2.44, 95% CI 1.80 to 3.29; ARR 2.05, 95% CI 1.56 to 2.70, respectively). No other statistically significant associations emerged. CONCLUSION: IPV, and specific patterns of IPV experiences, must be considered both in work settings and, more broadly, by economic development programmes. TRIAL REGISTRATION NUMBER: NCT01661504. |
format | Online Article Text |
id | pubmed-6031258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-60312582018-07-06 Intimate partner violence against low-income women in Mexico City and associations with work-related disruptions: a latent class analysis using cross-sectional data Gupta, Jhumka Willie, Tiara C Harris, Courtney Campos, Paola Abril Falb, Kathryn L Garcia Moreno, Claudia Diaz Olavarrieta, Claudia Okechukwu, Cassandra A J Epidemiol Community Health Research Report BACKGROUND: Disrupting women’s employment is a strategy that abusive partners could use to prevent women from maintaining economic independence and stability. Yet, few studies have investigated disruptions in employment among victims of intimate partner violence (IPV) in low-income and middle-income countries. Moreover, even fewer have sought to identify which female victims of IPV are most vulnerable to such disruptions. METHODS: Using baseline data from 947 women in Mexico City enrolled in a randomised controlled trial, multilevel latent class analysis (LCA) was used to classify women based on their reported IPV experiences. Furthermore, multilevel logistic regression analyses were performed on a subsample of women reporting current work (n=572) to investigate associations between LCA membership and IPV-related employment disruptions. RESULTS: Overall, 40.6% of women who were working at the time of the survey reported some form of work-related disruption due to IPV. LCA identified four distinct classes of IPV experiences: Low Physical and Sexual Violence (39.1%); High Sexual and Low Physical Violence class (9.6%); High Physical and Low Sexual Violence and Injuries (36.5%); High Physical and Sexual Violence and Injuries (14.8%). Compared with women in the Low Physical and Sexual Violence class, women in the High Physical and Sexual Violence and Injuries class and women in the High Physical and Low Sexual Violence and Injuries class were at greater risk of work disruption (adjusted relative risk (ARR) 2.44, 95% CI 1.80 to 3.29; ARR 2.05, 95% CI 1.56 to 2.70, respectively). No other statistically significant associations emerged. CONCLUSION: IPV, and specific patterns of IPV experiences, must be considered both in work settings and, more broadly, by economic development programmes. TRIAL REGISTRATION NUMBER: NCT01661504. BMJ Publishing Group 2018-07 2018-03-07 /pmc/articles/PMC6031258/ /pubmed/29514921 http://dx.doi.org/10.1136/jech-2017-209681 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Research Report Gupta, Jhumka Willie, Tiara C Harris, Courtney Campos, Paola Abril Falb, Kathryn L Garcia Moreno, Claudia Diaz Olavarrieta, Claudia Okechukwu, Cassandra A Intimate partner violence against low-income women in Mexico City and associations with work-related disruptions: a latent class analysis using cross-sectional data |
title | Intimate partner violence against low-income women in Mexico City and associations with work-related disruptions: a latent class analysis using cross-sectional data |
title_full | Intimate partner violence against low-income women in Mexico City and associations with work-related disruptions: a latent class analysis using cross-sectional data |
title_fullStr | Intimate partner violence against low-income women in Mexico City and associations with work-related disruptions: a latent class analysis using cross-sectional data |
title_full_unstemmed | Intimate partner violence against low-income women in Mexico City and associations with work-related disruptions: a latent class analysis using cross-sectional data |
title_short | Intimate partner violence against low-income women in Mexico City and associations with work-related disruptions: a latent class analysis using cross-sectional data |
title_sort | intimate partner violence against low-income women in mexico city and associations with work-related disruptions: a latent class analysis using cross-sectional data |
topic | Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031258/ https://www.ncbi.nlm.nih.gov/pubmed/29514921 http://dx.doi.org/10.1136/jech-2017-209681 |
work_keys_str_mv | AT guptajhumka intimatepartnerviolenceagainstlowincomewomeninmexicocityandassociationswithworkrelateddisruptionsalatentclassanalysisusingcrosssectionaldata AT willietiarac intimatepartnerviolenceagainstlowincomewomeninmexicocityandassociationswithworkrelateddisruptionsalatentclassanalysisusingcrosssectionaldata AT harriscourtney intimatepartnerviolenceagainstlowincomewomeninmexicocityandassociationswithworkrelateddisruptionsalatentclassanalysisusingcrosssectionaldata AT campospaolaabril intimatepartnerviolenceagainstlowincomewomeninmexicocityandassociationswithworkrelateddisruptionsalatentclassanalysisusingcrosssectionaldata AT falbkathrynl intimatepartnerviolenceagainstlowincomewomeninmexicocityandassociationswithworkrelateddisruptionsalatentclassanalysisusingcrosssectionaldata AT garciamorenoclaudia intimatepartnerviolenceagainstlowincomewomeninmexicocityandassociationswithworkrelateddisruptionsalatentclassanalysisusingcrosssectionaldata AT diazolavarrietaclaudia intimatepartnerviolenceagainstlowincomewomeninmexicocityandassociationswithworkrelateddisruptionsalatentclassanalysisusingcrosssectionaldata AT okechukwucassandraa intimatepartnerviolenceagainstlowincomewomeninmexicocityandassociationswithworkrelateddisruptionsalatentclassanalysisusingcrosssectionaldata |