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Sanjit Sarkar

       Table 5.  Multinomial logistic regression  results showing adjusted percentage of non-malnourished, single-state malnourished and multi-state
       malnourished children in West Bengal, India
                              Non-Malnourished              Single-State Malnourished       Multi-State Malnourished
           Covariates
                       Adjusted percent(95% CI)   p-value   Adjusted percent(95% CI)   p-value   Adjusted percent(95% CI)   p-value
       Age in Months
            06−11        16.4 (7.63−25.27)   p < 0.001   46.9 (34.99−58.87)   p < 0.001   36.6 (25.21−48.02)   p < 0.001
            12−23        27.2 (19.37−34.94)   p < 0.001   41.7 (32.55−49.87)   p < 0.001   31.7 (23.54−39.81)   p < 0.001
            24−35        29.8 (19.93−39.74)   p < 0.001   18.4 (10.11−26.69)   p < 0.001   51.7 (40.96−62.55)   p < 0.001
            36−47        34.8 (24.27−45.42)   p < 0.001   20.3 (11.44−29.21)   p < 0.001   44.8 (33.68−55.97)   p < 0.001
            48−59        41.8 (31.58−52.11)   p < 0.001   22.9 (14.49−31.45)   p < 0.001   35.2 (25.32−45.02)   p < 0.001
       Gender
             Male        31.8 (25.60−38.03)   p < 0.001   29.4 (23.40−35.52)   p < 0.001   38.7 (32.26−45.17)   p < 0.001
            Female       29.2 (22.99−35.42)   p < 0.001   29.9 (22.99−35.38)   p < 0.001   41.6 (34.90−48.30)   p < 0.001
       Religion
            Hindu        34.2 (28.58−39.87)   p < 0.001   27.7 (22.24−33.24)   p < 0.001   38.0 (32.09−43.97)   p < 0.001
            Muslim       21.0 (12.96−29.08)   p < 0.001   33.5 (22.07−44.96)   p < 0.001   45.5 (33.51−57.40)   p < 0.001
       Caste                                                                                   0
             SC          21.6 (14.26−29.03)   p < 0.001   29.8 (20.91−38.73)   p < 0.001   48.5 (38.83−58.22)   p < 0.001
             ST          17.4 (9.35−25.53)   p < 0.001   37.5 (25.65−49.28)   p < 0.001   45.1 (33.26−56.92)   p < 0.001
             OBC         34.2 (20.02−48.47)   p < 0.001   27.6 (13.80−40.30)   p < 0.001   38.7 (23.84−53.54)   p < 0.001
            General      45.9 (37.05 - 54.66)   p < 0.001   23.8 (16.34−31.26)   p < 0.001   30.3 (22.35−38.32)   p < 0.001
       MPCE Groups
          1st Quintile   27.3 (17.17−37.46)   p < 0.001   23.9 (14.88−32.99)   p < 0.001   48.7 (37.66−59.81)   p < 0.001
          2nd Quintile   33.5 (23.21−43.82)   p < 0.001   22.8 (13.50−31.05)   p < 0.001   44.2 (33.59−54.81)   p < 0.001
          3rd Quintile   26.8 (17.30−36.28)   p < 0.001   33.6 (23.45−43.45)   p < 0.001   39.7 (29.51−49.99)   p < 0.001
          4th Quintile   37.1 (26.82−47.46)   p < 0.001   32.7 (22.53−42.94)   p < 0.001   30.1 (20.33−39.91)   p < 0.001
          5th Quintile   27.3 (17.53−37.11)   p < 0.001   34.9 (23.67−46.16)   p < 0.001   37.7 (26.65−48.86)   p < 0.001
       Birth Order                                                                             0
              1          31.6 (24.93−38.31)   p < 0.001   24.8 (18.21−30.34)   p < 0.001   44.1 (36.99−51.20)   p < 0.001
              2          29.8 (22.78−36.82)   p < 0.001   30.8 (23.21−37.34)   p < 0.001   39.9 (32.44−47.39)   p < 0.001
             3+          26.2 (14.75−37.68)   p < 0.001   47.4 (33.9−60.84)   p < 0.001   26.4 (15.17−37.57)   p < 0.001
       Log likelihood                                           –489.02173
          2
       LR χ                                                       80.73
       Pr > χ   2                                                 0.000

                             The NFHS-3 (IIPS, 2005–2007). In line with the results yielded by existing research conducted in
                             India, this study also revealed that stunting is the most common form of malnutrition among children
                             under  the age of five, followed  by underweight status  and  wasting  (Bhadoria, Sareen and Kapil,
                             2013; IIPS, 2005–2007; Ratnu, 2013; Singh, Foteder, Lakshminayarana et al., 2006). Higher preva-
                             lence of stunting supports the inference that child malnutrition in this population occurs probably
                             due to past or chronic inadequacy of nutrition or due to long-term growth faltering. In contrast, un-
                             derweight status indicates disturbances in the combination of linear growth and body proportion,


                                      International Journal of Population Studies | 2016, Volume 2, Issue 1     97
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