OBJECTIVE: To determine how much of the variation in nutritional status of Bangladeshi children under 5 years old can be attributed to the socio-economic status of the family. DESIGN: Nutritional status used reference Z-scores of weight-for-age (WAZ), height-for-age (HAZ) and weight-for-height (WHZ). A 'possession score' was generated based on ownership of a radio, television, bicycle, motorcycle and telephone, and the availability of electricity, with categories of 0 to 4+ possessions. A five-point (quintile) 'poverty index' was created using principal component analysis. SETTING: The Bangladesh Demographic and Health Survey 2004 was the source of data. SUBJECTS: A sample of 4891 children aged <5 years was obtained. RESULTS: Some 57.8 % of the sample was either stunted, wasted or underweight (7.7 % were stunted, wasted and underweight). Of those stunted (48.4 %), 25.7 % were also underweight. Underweight and wasting prevalences were 40.7 % and 14.3 %, respectively. Mean WAZ, HAZ and WHZ did not differ by sex. Children of mothers with no education or no possessions were, on average, about 1 sd more underweight and stunted than those with higher educated mothers or with 4+ possessions. The possession score provided much greater discrimination of undernutrition than the poverty index. Nearly 50 % of children from households with no possessions were stunted, wasted or underweight (only 27 % in the poorest quintile), compared with only 3-6 % of children from households with 4+ possessions (over 13 % in the richest quintile). CONCLUSIONS: Maternal education and possession score were the main predictors of a child's nutritional status. Possession score was a much better indicator of undernutrition than the poverty index.
OBJECTIVE: To determine how much of the variation in nutritional status of Bangladeshi children under 5 years old can be attributed to the socio-economic status of the family. DESIGN: Nutritional status used reference Z-scores of weight-for-age (WAZ), height-for-age (HAZ) and weight-for-height (WHZ). A 'possession score' was generated based on ownership of a radio, television, bicycle, motorcycle and telephone, and the availability of electricity, with categories of 0 to 4+ possessions. A five-point (quintile) 'poverty index' was created using principal component analysis. SETTING: The Bangladesh Demographic and Health Survey 2004 was the source of data. SUBJECTS: A sample of 4891 children aged <5 years was obtained. RESULTS: Some 57.8 % of the sample was either stunted, wasted or underweight (7.7 % were stunted, wasted and underweight). Of those stunted (48.4 %), 25.7 % were also underweight. Underweight and wasting prevalences were 40.7 % and 14.3 %, respectively. Mean WAZ, HAZ and WHZ did not differ by sex. Children of mothers with no education or no possessions were, on average, about 1 sd more underweight and stunted than those with higher educated mothers or with 4+ possessions. The possession score provided much greater discrimination of undernutrition than the poverty index. Nearly 50 % of children from households with no possessions were stunted, wasted or underweight (only 27 % in the poorest quintile), compared with only 3-6 % of children from households with 4+ possessions (over 13 % in the richest quintile). CONCLUSIONS: Maternal education and possession score were the main predictors of a child's nutritional status. Possession score was a much better indicator of undernutrition than the poverty index.
Authors: Aatekah Owais; Benjamin Schwartz; David G Kleinbaum; Parminder S Suchdev; A S G Faruque; Sumon K Das; Aryeh D Stein Journal: PLoS One Date: 2016-10-24 Impact factor: 3.240
Authors: Mohammad Jyoti Raihan; Fahmida Dil Farzana; Sabiha Sultana; Md Ahshanul Haque; Ahmed Shafiqur Rahman; Jillian L Waid; Ben McCormick; Nuzhat Choudhury; Tahmeed Ahmed Journal: PLoS One Date: 2017-03-09 Impact factor: 3.240
Authors: Debbie S Thompson; Novie Younger-Coleman; Parris Lyew-Ayee; Lisa-Gaye Greene; Michael S Boyne; Terrence E Forrester Journal: PLoS One Date: 2017-03-14 Impact factor: 3.240
Authors: Tuhinur Rahman Chowdhury; Sayan Chakrabarty; Muntaha Rakib; Sue Saltmarsh; Kendrick A Davis Journal: Global Health Date: 2018-05-30 Impact factor: 4.185