Hossain, Md. Moyazzem, Abdulla, Faruq, Rahman, Azizur and Khan, Hafiz T.A. ORCID: https://orcid.org/0000-0002-1817-3730 (2022) Prevalence and determinants of wife-beating in Bangladesh: evidence from a nationwide survey. BMC Psychiatry, 22 (1).

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Abstract

Background
Intimate partner violence (IPV) is a global public health concern, with women in low- and middle-income countries (LMICs) bearing a disproportionately high burden. This study investigates the prevalence and factors correlated with attitudes regarding wife-beating among Bangladeshi women in urban–rural contexts.

Methods
A sample of 13,033 urban women and 51,344 rural women data from the Bangladesh Multiple Indicator Cluster Survey (MICS) 2019 were analyzed using the Chi-square test and ordinal logistic regression model.

Results
The findings reveal that arguing with her husband is the widespread reason for wife-beating in Bangladesh (urban: 17.3%, rural: 21.9%), followed by neglecting the children (urban: 12.7%, rural: 15.8%). About 8% of urban women and 10% of rural women favoured the opinion that refusing to involve sexual intercourse is a legitimate justification for wife-beating. In comparison, around 5% feel that a husband has a right to beat his wife due to burning food. The respondents’ age, education, marital status, number of children, socioeconomic level, any health or physical difficulty, having problems becoming pregnant, and the husband’s age are all significant factors in justifying wife-beating.

Conclusions
Bangladesh has a massive challenge in eliminating IPV. Women from lower socioeconomic classes, low levels of education, other challenges, and residents of rural areas are particularly more vulnerable than their urban counterparts. Therefore, it is vital to develop a proper action plan that considers women’s education and occupation to raise awareness of the various implications of wife-beating in women, particularly in Bangladesh’s rural areas.

Item Type:	Article
Identifier:	10.1186/s12888-021-03652-x
Keywords:	Wife-beating, Ordinal logistics regression, Urban–rural settings, Bangladesh
Subjects:	Psychology Social sciences
Related URLs:	Publisher
Depositing User:	Hafiz T.A. Khan
Date Deposited:	11 Jan 2022 09:22
Last Modified:	06 Feb 2024 16:08
URI:	https://repository.uwl.ac.uk/id/eprint/8570

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