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Article

Women’s Participation in Household Decision Making and Justification of Wife Beating: A Secondary Data Analysis from Pakistan’s Demographic and Health Survey

1
Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia
2
Faculty of Nursing, University of Alberta, Edmonton, AB T6G 1C9, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Paul B. Tchounwou
Int. J. Environ. Res. Public Health 2021, 18(19), 10011; https://doi.org/10.3390/ijerph181910011
Received: 24 August 2021 / Revised: 20 September 2021 / Accepted: 21 September 2021 / Published: 23 September 2021
(This article belongs to the Section Women's Health)
Introduction: Globally, women’s empowerment is one of the important factors impacting the development of the nation. However, several women in developing countries, including Pakistan, experience a high level of gender discrimination and inequity. In this study, data from the Demographic and Health Survey (DHS) were used to measure empowerment and its predictors among women in Pakistan. Methods: Pakistan’s 2017–2018 DHS dataset was used to measure women’s empowerment using two indicators, i.e., participation in decision making and views on wife beating among 4216 married women. The determinants of empowerment, such as age, place of residence, regions, wealth index, education, partner’s education, partner’s occupation, number of children, consanguinity, the age difference between husband and wife, house and land ownership, and house inheritance, are reported as prevalence ratios (PRs) with a 95% confidence intervals (CI). Multivariate regression models were used to produce covariate-adjusted PRs and 95% CIs. Results: More than half of all women were empowered (52.5%). Upon multivariate analysis, we identified that women from the province of Punjab (adjusted PR (aPR), 1.44; 95% CI, 1.20–1.73), Sindh (aPR, 1.62; 95% CI, 1.35–1.96), and KPK (aPR, 1.09; 95% CI, 0.91–1.31) compared to those living in Baluchistan; from the richest quantile (aPR, 1.65; 95% CI, 1.37–1.99), followed by the richer quantile (aPR, 1.54; 95% CI, 1.28–1.84), the middle quantile (aPR, 1.52; 95% CI, 1.28–1.81), and the poorer quantile (aPR, 1.24; 95% CI, 1.04–1.47) compared to women who were from the poorest quantile; who were highly educated (aPR, 1.45; 95% CI, 1.25–1.67), followed by those who had a secondary education (aPR, 1.32; 95% CI, 1.16–1.50) and a primary education (aPR, 1.17; 95% CI, 1.02–1.35) compared to women who were not educated; and had exposure to mass media (aPR, 1.20; 95% CI, 1.06–1.36) compared to those who had no exposure were more empowered. Conclusion: To conclude, women’s empowerment in Pakistan is affected by various socioeconomic factors, as well as exposure to mass media. Targeted strategies are needed to improve access to education, employment, and poverty alleviation among women, particularly those living in rural areas. Various mass media advertisements should be practiced, targeting community norms and supporting women’s empowerment. View Full-Text
Keywords: women’s empowerment; decision making; wife beating; Pakistan; demographic and health survey women’s empowerment; decision making; wife beating; Pakistan; demographic and health survey
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MDPI and ACS Style

Lassi, Z.S.; Ali, A.; Meherali, S. Women’s Participation in Household Decision Making and Justification of Wife Beating: A Secondary Data Analysis from Pakistan’s Demographic and Health Survey. Int. J. Environ. Res. Public Health 2021, 18, 10011. https://doi.org/10.3390/ijerph181910011

AMA Style

Lassi ZS, Ali A, Meherali S. Women’s Participation in Household Decision Making and Justification of Wife Beating: A Secondary Data Analysis from Pakistan’s Demographic and Health Survey. International Journal of Environmental Research and Public Health. 2021; 18(19):10011. https://doi.org/10.3390/ijerph181910011

Chicago/Turabian Style

Lassi, Zohra S., Anna Ali, and Salima Meherali. 2021. "Women’s Participation in Household Decision Making and Justification of Wife Beating: A Secondary Data Analysis from Pakistan’s Demographic and Health Survey" International Journal of Environmental Research and Public Health 18, no. 19: 10011. https://doi.org/10.3390/ijerph181910011

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