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International Journal of
            Population Studies                                                          Child malnutrition in rural India




              Socio-demographic characteristics                    60                           Underweight
                                                                                                Stunted
                                                                   50
                 Child’scharacteristics
                (Age, birth order, gender)                         40                           Wasted
                                             Nutritional status
                 Mother’s characteristics     Underweight        Percentage (%)  30
                   (Age, education)         (Low ‘weight-for-age’)  20
                                                                   10
                Household characteristics      Stunting
                      (Caste)               (Low ‘height-for-age’)  0
                                                Wasting                 NFHS-1  (1992-93)  NFHS-2  (1998-99)  NFHS-3  (2004-05)  NFHS-4  (2015-16)  NFHS-5  (2019-21)
                                           (Low ‘weight-for-height’)
                                                               Figure 2. Trend of nutritional status among children in West Bengal.
                 Household characteristics                     Note: The data about stunting and wasting for West Bengal are not
                 (Type of house, farm size)                    available in NFHS-1.
                                                               Source: NFHS-1, NFHS-2, NFHS-3, NFHS-4, and NFHS-5.
                                       Household crop diversification
                                       (Transformed Herfindahl index)  To understand the district-level nutritional status

            Figure 1. Conceptual framework of the study.       among the children of West Bengal and its change over
                                                               a period of time, a simple percentage change analysis
            (iv).  Based on the above research questions, the key   was performed using data from NFHS-4 and NFHS-5,
                 objectives of the study are as follows:       covering the data in 2015 – 16 and 2019 – 21, respectively.
                  a) To understand the crop diversification and   According to Table 1, the prevalence of child underweight
                   cropping intensity practiced among the rural   and stunting had generally worsened over time (1.9% and
                   households;                                 4%, respectively), while there was no improvement in
                  b) To examine the linkage of socioeconomic   child wasting. Through a district-level analysis, we found
                   characteristics, demographic characteristics,   that Kolkata is the worst performing district in addressing
                   and household crop diversification with child   the escalating prevalence of child underweight, with
                   malnutrition.                               a staggering 67% increase in underweight prevalence.
                                                               Nine districts, including Kolkata, manifested a worsening
            1.2. An overview of prevalence of child malnutrition   situation in which the number of underweight children
            in West Bengal                                     kept rising, and ten districts showed improvement in the

            To understand the background of nutritional status   prevalence of child underweight. Among the districts of
            among  children  under  5  years  old  in  West  Bengal,  this   West Bengal, Koch Bihar emerged as the best performer
            study analyzed the reports of National Family Health   in tackling the child underweight conundrum after
            Survey (NFHS), using data from NFHS-1  (1992 – 93),   successfully reducing the prevalence by 23.2%. Regarding
            NFHS-2 (1998 – 99), NFHS-3 (2005 – 06), NFHS-4 (2015   the child stunting issue, nine districts showed increasing
            – 16), and NFHS-5  (2019 – 21). A  simple percentage   percentage of stunted children, whereas other ten districts
            change analysis was carried out for each district in West   showed decreasing percentage. The district which has
            Bengal  to  illustrate the difference  in the  prevalence of   performed the worst in controlling the child stunting issue
            underweight, stunting, and wasting, based on data derived   was North 24 Pargana (36%), while the best performer
            from the latest two surveys, that is, NFHS-4 and NFHS-5,   in the district was Haora (−21%). The problem of child
            which have collected information on child malnutrition at   wasting had deteriorated in ten districts over the same
            district level (Table 1).                          period, among which Darjeeling was the worst performing
              Based on  Figure  2, the prevalence of child stunting   district, although Paschim Medinipur remained at the top
            had decreased over the time, from NFHS-2  (50.4%) to   place for the highest prevalence of child wasting in West
            NFHS-4 (32.5%), and slightly increased in NFHS-5 (33.8%).   Bengal. On the other hand, Purba Medinipur emerged as
            There were not much changes in the prevalence of child   the clear winner in the rivalry for successfully lowering the
            wasting even after two decades. The prevalence of child   child wasting percentage (−36.7%). Overall, it is clear that
            underweight had reduced over the time but remains a   the nutritional status of children in West Bengal had not
            matter of great concern as the latest percentage of child   improved much, and worse still, the relevant parameters in
            underweight recorded in NFHS-5  (2019 – 20) was still   many districts had deteriorated over the period (NFHS-4
            above 30% (32.2%).                                 – NFHS-5).


            Volume 10 Issue 2 (2024)                       117                        https://doi.org/10.36922/ijps.0324
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