Citation

Das T, Roy TB, Roy R. Child. Youth Serv. Rev. 2021; 130: e106226.

Copyright

(Copyright © 2021, Elsevier Publishing)

DOI

10.1016/j.childyouth.2021.106226

PMID

unavailable

Abstract

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.

Language: en

Keywords

Alcohol Consumption; COVID-19; Economic Condition; Intimate Partner Violence; Migrant Worker; Multinomial Logistic