Cargando…

Reintegration with family and intimate partner violence (IPV) against women among the returnee migrant worker’s family during COVID-19 induced lockdown: A Block-level analysis using multinomial logistic regression model

Worldwide the incidents of intimate partner violence (IPV) have increased due to lockdowns related to the COVID-19 pandemic. This paper aims to identify the association between IPV and different socio-economic factors of women & their most recent partner during the COVID-19 pandemic in returnee...

Descripción completa

Detalles Bibliográficos
Autores principales: Das, Tanu, Roy, Tamal Basu, Roy, Ranjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416023/
https://www.ncbi.nlm.nih.gov/pubmed/34511676
http://dx.doi.org/10.1016/j.childyouth.2021.106226
_version_ 1783748089595559936
author Das, Tanu
Roy, Tamal Basu
Roy, Ranjan
author_facet Das, Tanu
Roy, Tamal Basu
Roy, Ranjan
author_sort Das, Tanu
collection PubMed
description Worldwide the incidents of intimate partner violence (IPV) have increased due to lockdowns related to the COVID-19 pandemic. This paper aims to identify the association between IPV and different socio-economic factors of women & their most recent partner during the COVID-19 pandemic in returnee migrant worker families in Balurghat Block (area 363.9 sq. km), Dakshin Dinajpur district, West Bengal, India. A total of 159 ever-married women were included in this present study, whose husbands were engaged as workers elsewhere at least two years before the lockdown. The result of the multinomial logistic regression model revealed that, after controlling for other variables, the women who had the poorest wealth background were 37% more likely (RRR: 1.37; 95% CI [1.18, 1.47]) to experience IPV almost every day in a week than those who had a middle wealth background. Conversely, the women who had the poorest wealth background were 37% (95% CI [0.57, 0.82]) less likely to experience IPV for three to four days in a week. Furthermore, the women whose partners were currently unemployed were 21% more likely (RRR: 1.21; 95% CI [1.16, 1.36]) to experience IPV almost every day in a week than those whose husbands were currently employed. The women whose husband’s had a loan were 26% more likely (RRR: 1.26; 95% CI [1.25, 1.33]) to experience IPV for three to four days in a week than those whose husbands did not have any loans. The likelihood to experience IPV almost every day in a week is higher among those women whose husbands attain weekly (31%) loan instalment pattern and consume alcohol daily (31%). Interventions are needed at the grassroots level and some economic planning is required at an urgent basis.
format Online
Article
Text
id pubmed-8416023
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-84160232021-09-07 Reintegration with family and intimate partner violence (IPV) against women among the returnee migrant worker’s family during COVID-19 induced lockdown: A Block-level analysis using multinomial logistic regression model Das, Tanu Roy, Tamal Basu Roy, Ranjan Child Youth Serv Rev Article Worldwide the incidents of intimate partner violence (IPV) have increased due to lockdowns related to the COVID-19 pandemic. This paper aims to identify the association between IPV and different socio-economic factors of women & their most recent partner during the COVID-19 pandemic in returnee migrant worker families in Balurghat Block (area 363.9 sq. km), Dakshin Dinajpur district, West Bengal, India. A total of 159 ever-married women were included in this present study, whose husbands were engaged as workers elsewhere at least two years before the lockdown. The result of the multinomial logistic regression model revealed that, after controlling for other variables, the women who had the poorest wealth background were 37% more likely (RRR: 1.37; 95% CI [1.18, 1.47]) to experience IPV almost every day in a week than those who had a middle wealth background. Conversely, the women who had the poorest wealth background were 37% (95% CI [0.57, 0.82]) less likely to experience IPV for three to four days in a week. Furthermore, the women whose partners were currently unemployed were 21% more likely (RRR: 1.21; 95% CI [1.16, 1.36]) to experience IPV almost every day in a week than those whose husbands were currently employed. The women whose husband’s had a loan were 26% more likely (RRR: 1.26; 95% CI [1.25, 1.33]) to experience IPV for three to four days in a week than those whose husbands did not have any loans. The likelihood to experience IPV almost every day in a week is higher among those women whose husbands attain weekly (31%) loan instalment pattern and consume alcohol daily (31%). Interventions are needed at the grassroots level and some economic planning is required at an urgent basis. Elsevier Ltd. 2021-11 2021-08-28 /pmc/articles/PMC8416023/ /pubmed/34511676 http://dx.doi.org/10.1016/j.childyouth.2021.106226 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Das, Tanu
Roy, Tamal Basu
Roy, Ranjan
Reintegration with family and intimate partner violence (IPV) against women among the returnee migrant worker’s family during COVID-19 induced lockdown: A Block-level analysis using multinomial logistic regression model
title Reintegration with family and intimate partner violence (IPV) against women among the returnee migrant worker’s family during COVID-19 induced lockdown: A Block-level analysis using multinomial logistic regression model
title_full Reintegration with family and intimate partner violence (IPV) against women among the returnee migrant worker’s family during COVID-19 induced lockdown: A Block-level analysis using multinomial logistic regression model
title_fullStr Reintegration with family and intimate partner violence (IPV) against women among the returnee migrant worker’s family during COVID-19 induced lockdown: A Block-level analysis using multinomial logistic regression model
title_full_unstemmed Reintegration with family and intimate partner violence (IPV) against women among the returnee migrant worker’s family during COVID-19 induced lockdown: A Block-level analysis using multinomial logistic regression model
title_short Reintegration with family and intimate partner violence (IPV) against women among the returnee migrant worker’s family during COVID-19 induced lockdown: A Block-level analysis using multinomial logistic regression model
title_sort reintegration with family and intimate partner violence (ipv) against women among the returnee migrant worker’s family during covid-19 induced lockdown: a block-level analysis using multinomial logistic regression model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416023/
https://www.ncbi.nlm.nih.gov/pubmed/34511676
http://dx.doi.org/10.1016/j.childyouth.2021.106226
work_keys_str_mv AT dastanu reintegrationwithfamilyandintimatepartnerviolenceipvagainstwomenamongthereturneemigrantworkersfamilyduringcovid19inducedlockdownablocklevelanalysisusingmultinomiallogisticregressionmodel
AT roytamalbasu reintegrationwithfamilyandintimatepartnerviolenceipvagainstwomenamongthereturneemigrantworkersfamilyduringcovid19inducedlockdownablocklevelanalysisusingmultinomiallogisticregressionmodel
AT royranjan reintegrationwithfamilyandintimatepartnerviolenceipvagainstwomenamongthereturneemigrantworkersfamilyduringcovid19inducedlockdownablocklevelanalysisusingmultinomiallogisticregressionmodel