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International Journal of
            Population Studies                                                 Associated factors of child wasting in India



            enhancing economic growth, and building social capital   during the period of 12 – 18  months after birth, with
            (United  Nations, 2015). India, marked by significant   maternal nutrition and health playing a significant
            economic growth and increased agricultural productivity,   role (De Wagt et al., 2019). NFHS data indicate that the
            stands among the world’s fastest growing economies (World   highest proportion of wasting occurs among children
            Economic Forum, 2023). Despite noticeable improvements   aged 0-23  months (WHZ-2SD-22.3%), emphasizing the
            in poverty, health services coverage, education, and   critical period spanning from conception to the age of
            agricultural production, persistent malnutrition and   2 years (Aguayo et al., 2016; De Onis et al., 2018; Harriet
            suboptimal child growth poses a greatest societal challenge   & Minh, 2020; Wali et al., 2021). Efforts to combat child
            in the country (Singh, 2020).                      wasting in India have experienced sluggish progress, with

              Child wasting, defined as “weight for height <  -2 SD   the proportion of wasting remaining nearly stagnant from
            z-scores of the median World Health Organization (WHO)   2005 – 2006 to 2019 – 2021. With significant variations
            growth standards,” serves as a vital indicator of measuring child   across districts and states, the latest National Family Health
            growth failure linked with acute events (the WHO Multicentre   Survey (NFHS-5) data indicate an increase in wasting
            Growth  Reference Study Group,  2006).  This  condition   proportions in 15 out of 36 states during the period of 2019
            carries both long-  and short-term implications, including   – 2021 (IIPS & ICF, 2021).
            an elevated risk of mortality, increased susceptibility to   This study aims to identify hotspots of child wasting
            diseases, impaired cognitive and motor development, limited   in Indian districts and understand the socioeconomic,
            educational accomplishments, and diminished productivity   maternal, and  child-level  factors associated with wasting
            that perpetuates poverty (Aguayo et al., 2016; Black et al., 2008;   among children aged 0 – 23  months. The rationale
            Black et al., 2013; Dewey & Vitta, 2013). Emerging evidence   behind this research is the sluggish progress of wasting
            underscores wasting as a precursor of stunting, with episodes   indicators over the years, impacting under-five mortality
            of wasting heightening the risk of linear growth retardation   and  World  Health  Assembly  nutrition  targets  in  India.
            (Khara & Dolan, 2014; Richard et al., 2012).       Analyzing immediate and underlying factors will provide
              According to the framework proposed by the       a comprehensive understanding of wasting during the first
            United  Nations Children’s Fund (UNICEF) (2020),   1,000 days and address existing evidence gaps. Furthermore,
            child malnutrition results from the interplay of enabling   this study utilizes the latest NFHS (NFHS-5 2019-21) data
            environments, underlying, and immediate factors.   collected in two phases (phase one from June 17, 2019, to
            Immediate factors linked to wasting include dietary   January 30, 2020, and phase two from January 2, 2020, to
            intake, nutrition, and health-care support during illness,   April 30, 2021), offering valuable insights into the predictors
            while underlying factors involve maternal and child   of wasting before the COVID-19 pandemic and aiding in
            characteristics  such  as  prematurity,  antenatal  care,   understanding the prevailing drivers of wasting irrespective
            education, occupation, height, and body mass index (BMI).   of emergencies (IIPS & ICF, 2021).
            In addition, basic facilities such as water and sanitation,
            access to welfare services, food security, household wealth,   2. Data and methods
            and socio-cultural practices are also correlated with child   2.1. Data sources
            wasting (De Wagt  et  al., 2019; Stobaugh  et  al., 2018;
            UNICEF, 2020; Wali et al., 2021).                  The most recent NFHS (NFHS-5 in 2019 – 2021) was
                                                               utilized for the study (IIPS & ICF, 2021). NFHS-5 is the
              Globally, approximately 45.4 million children under   largest nationally representative survey, providing a
            the age of five are affected by wasting, with 13.6 million   comprehensive understanding of the health and nutrition
            experiencing severely wasting. South Asia, particularly   status of children, parents, and households. The survey
            India, bears substantial proportion of this burden (Kinyoki   employed a two-stage stratified sampling approach to
            et al., 2020; UNICEF & WB, 2021). In India, malnutrition   collect information. In the first stage, districts were divided
            accounts  for  68.2%  of  under  five  deaths  (Swaminathan   into rural and urban strata. Within each rural stratum,
            et al., 2019), with prevalence of wasting reaching at 19.3%   a sample of villages was selected as primary sampling
            in 2019 – 2021, surpassing the threshold set by the WHO   units  (PSUs)  while  in  urban  areas,  a  sample  of  census
            (De Onis  et al., 2018; IIPS & ICF, 2021; WHO, 1995).   enumeration blocks were selected as PSUs. Subsequently,
            Child wasting leads to substantial economic losses, with   in the second stage, 22 households per cluster were selected
            estimated at US$48 billion in disability-adjusted life years   for interview. NFHS-5 covered 636,699 respondents from
            due to the loss of lifetime productivity (Global Panel, 2016).  707 districts, 28 states, and 8 union territories. For the
              Wasting in India exhibits unique characteristics   present study, the individual and household-level datasets
            including  high  prevalence at  birth  and a  peak  occurred   were downloaded from the demographic and health survey


            Volume 10 Issue 3 (2024)                        61                         https://doi.org/10.36922/ijps.453
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