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Socio-economic inequalities in minimum dietary diversity among Bangladeshi children aged 6-23 months: a decomposition analysis.
Kundu, Satyajit; Das, Pranta; Rahman, Md Ashfikur; Al Banna, Md Hasan; Fatema, Kaniz; Islam, Md Akhtarul; Srivastava, Shobhit; Muhammad, T; Dey, Rakhi; Hossain, Ahmed.
Afiliación
  • Kundu S; Global Health Institute, North South University, Dhaka, 1229, Bangladesh. satyajitnfs@gmail.com.
  • Das P; School of Public Health, Southeast University, Nanjing, 210096, China. satyajitnfs@gmail.com.
  • Rahman MA; Faculty of Nutrition and Food Science, Patuakhali Science and Technology University, Patuakhali, 8602, Bangladesh. satyajitnfs@gmail.com.
  • Al Banna MH; Department of Statistics, University of Nebraska-Lincoln, Lincoln, NE, 68583-0963, USA.
  • Fatema K; Department of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh.
  • Islam MA; Development Studies Discipline, Khulna University, Khulna, 9208, Bangladesh.
  • Srivastava S; Department of Food Microbiology, Faculty of Nutrition and Food Science, Patuakhali Science and Technology University, Patuakhali, 8602, Bangladesh.
  • Muhammad T; Department of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh.
  • Dey R; Statistics Discipline, Science Engineering & Technology School, Khulna University, Khulna, 9208, Bangladesh.
  • Hossain A; Department of Survey Research and Data Analytics, International Institute for Population Sciences, Mumbai, 400088, India.
Sci Rep ; 12(1): 21712, 2022 12 15.
Article en En | MEDLINE | ID: mdl-36522494
This study aimed to measure the socio-economic inequalities in having minimum dietary diversity (MDD) among Bangladeshi children aged 6-23 months as well as to determine the factors that potentially contribute to the inequity. The Bangladesh Demographic and Health Survey (BDHS) 2017-2018 data were used in this study. A sample of 2405 (weighted) children aged 6-23 months was included. The overall weighted prevalence of MDD was 37.47%. The concentration index (CIX) value for inequalities in MDD due to wealth status was positive and the concentration curve lay below the line of equality (CIX: 0.1211, p < 0.001), where 49.47% inequality was contributed by wealth status, 25.06% contributed by the education level of mother, and 20.41% contributed by the number of ante-natal care (ANC) visits. Similarly, the CIX value due to the education level of mothers was also positive and the concentration curve lay below the line of equality (CIX: 0.1341, p < 0.001), where 52.68% inequality was contributed by the education level of mother, 18.07% contributed by wealth status, and 14.69% contributed by the number of ANC visits. MDD was higher among higher socioeconomic status (SES) groups. Appropriate intervention design should prioritize minimizing socioeconomic inequities in MDD, especially targeting the contributing factors of these inequities.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clase Social / Madres Tipo de estudio: Health_economic_evaluation / Prevalence_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Límite: Child / Female / Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Bangladesh Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clase Social / Madres Tipo de estudio: Health_economic_evaluation / Prevalence_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Límite: Child / Female / Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Bangladesh Pais de publicación: Reino Unido