Publications by authors named "Atta Muhammad Asif"

Sufficient and nourishing foods during the early years of a child's life are essential for optimal growth and healthy life. The existing disparities among rural-urban populations also affect the dietary pattern as well. Therefore, this study aims to identify the factors that contribute towards the rural-urban disparity in children's dietary diversity (CDD) and quantify their importance for the reduction of rural-urban disparities in achieving a minimum dietary diversity level.

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The role of maternal empowerment (ME) to improve child nutrition in patriarchal societies of developing countries remains ambiguous. This study provides empirical evidence about the impact of ME and some other factors selected under United Nations International Children's Emergency Fund theoretical framework, on dietary diversity of children (under 5 years age) in Pakistan. Partial proportional odds model is estimated to obtain varying estimates of the parameters by using data of Pakistan Demographic and Health Survey 2017-18.

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Article Synopsis
  • * This study introduces the Composite Index of Anthropometric Failure (CIAF) to better assess malnutrition's overall impact on children under five, using data from the 2012-2013 Pakistan Demographic and Health Survey.
  • * Findings indicate that children with educated mothers are 43% less likely to be malnourished, and improving maternal education and socioeconomic status is vital for reducing malnutrition rates; policymakers should use CIAF for a comprehensive understanding of the malnutrition burden.
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The aim of this study was to examine the impact of maternal education on child immunization uptake in Pakistan, both at individual and community levels. Pakistan Demographic and Health Survey data were used for analysis. Multilevel logistic regression was used to access the individual- and community-level factors associated with childhood immunization coverage.

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Objective: We assessed the prevalence of malarial fever and its association with demographic and socioeconomic factors in children <5 years of age.

Methods: Using the data of Pakistan Demographic and Health Survey (PDHS), the socioeconomic condition (SEC) was assessed by using a household wealth index as a proxy indicator, generated through principal component analysis. Two-stage sampling was used for selection of households, and multilevel logistic regression analysis was performed.

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