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International Journal of
            Population Studies                                                          Child malnutrition in rural India



            200 households. Purposive sampling was applied to select   The value of MEI ranges between 0 and 1. “1”
            the households based on two criteria: (i) The household   denotes perfect diversification, while “0” denotes total
            was at the time of survey engaged in, at least, small-scale   concentration (Shiyani & Pandya, 1998).
            farming, and (ii) the household had children under 5 years   (c)  Composite entropy index (CEI):
            of age. If there was more than one child under the age of
                                                                                   N
            5 years old in a household, only the youngest child would              (.
                                                                                     Pi lnNPi.)
            be  selected  or any  other  child under  the  age  of  5  if  the      i 1
            youngest child denied to give measurement.
              For anthropometry data, height and weight of the   The value of CEI ranges between 0 and 1. “1”
            children were collected in the presence of their mothers.   denotes perfect diversification, while “0” denotes total
            For measuring weight of the child, a digital weighing scale   concentration (Shiyani & Pandya, 1998).
            was used; three measurements were taken times and the   (d)  Jasbir Singh’s method: Percentage of total crop
            average of the weight was calculated to ensure accuracy   area under “n” crop divided by number of “n” crop
            of measurements. Stadiometer was used to measure the   The value of Jasbir Singh’s index lies between 0 and
            height of children, but for children aged <12 months, the   100. Here, “n” refers to crops whose proportion is 5% or
            height was measured while they were lying down. The   more. Index of crop diversification (ICD) value is inversely
            study used a semi-structured interview schedule for data   proportional to degree of diversification (Bisai et al., 2016).
            collection.
                                                                 Note that “N” refers to the total number of crops and
            2.2. Cropping intensity and crop diversification   “P ” refers to the proportion of acreage under i-th crop to
                                                                 i
            To calculate cropping intensity and crop diversification,   total cropped area.
            the following formula was used:                    2.3. Dependent variables
            (i)  Cropping intensity is defined as the  number of   Child malnutrition, which is the dependent variable, is
               crops  produced  during  one  agriculture  year  from  a   classified as underweight, stunting, and wasting. The World
               particular cultivated field (Deshmukh and Tanaji,   Health  Organization (WHO)  defined underweight as a
               2017). It is computed by dividing the gross cropped   child with low weight-for-age, and an underweight children
               area of a region by the net sown area, that is,  may be wasted or stunted, or both. Stunting is defined as low

                                   Gross cropped area          height-for-age, and it is the outcome of recurrent or chronic
                  Cropping intensity =             × 100       under nutrition connected  with poor  maternal nutrition
                                     Net sown area             and health, poor socioeconomic conditions, frequent
              The cropping intensity has been categorized in an   illness, and/or inappropriate infant and young child care
            earlier research (Iqbal, 2020):                    and feeding in early life. Stunting restrains the children from
                                                               reaching their cognitive and physical potential. Wasting is
               •   Low intensity = Below 153%                  known as low weight-for-height, which usually indicates
               •   Medium intensity = 153 – 159%               recent and severe weight loss due to insufficient food intake
               •   High = Above 159%
                                                               and/or an infectious disease, such as diarrhea.
            (ii)  Crop diversification is computed using several indices   The corresponding scores, that is, weight-for-age
               such as:                                        Z-score  (WAZ),  height-for-age  Z-score  (HAZ),  and
               (a)  Transformed Herfindahl index (THI):
                                                               weight-for-height Z-score (WHZ), were calculated
                                    n                          based on the WHO new growth standard (WHO, 2006)
                                 1  Pi                      using the WHO-Anthro software. The categorization for
                                     i  1                     underweight (WAZ), stunting (HAZ), and wasting (WHZ)
              THI value ranges between 0 and 1. “1”denotes perfect   scores was defined by the scores whose Z-score is below
            diversification, while “0” denotes complete specialization   minus two standard deviations (−2 SD) from the median
            (Pal & Kar, 2012).                                 of the reference population.

              (b)  Modified entropy index (MEI):               2.4. Independent variables
                                                               Key independent variables that influence the child’s
                                N
                                (.                           nutritional outcomes, such as age (“1” <2 years, “2” 2–3 years,
                                  Pi lnNPi.)
                                 i 1                          “3” 4–5 years), birth order (“1” birth order, “2” birth order),

            Volume 10 Issue 2 (2024)                       119                        https://doi.org/10.36922/ijps.0324
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