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Contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6–23 months): evidence from a cross-sectional survey in India

BACKGROUND: The present study aims to estimate the factors contributing to the change adequate diversified dietary intake (ADDI) from 2005–06 to 2015–16 among children aged 6–23 months in India. METHODS: A cross-sectional study was conducted using a large representative survey data. Data from the Na...

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Autores principales: Bhati, Divya, Tripathy, Abhipsa, Mishra, Prem Shankar, Srivastava, Shobhit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793661/
https://www.ncbi.nlm.nih.gov/pubmed/36575545
http://dx.doi.org/10.1186/s40795-022-00655-z
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author Bhati, Divya
Tripathy, Abhipsa
Mishra, Prem Shankar
Srivastava, Shobhit
author_facet Bhati, Divya
Tripathy, Abhipsa
Mishra, Prem Shankar
Srivastava, Shobhit
author_sort Bhati, Divya
collection PubMed
description BACKGROUND: The present study aims to estimate the factors contributing to the change adequate diversified dietary intake (ADDI) from 2005–06 to 2015–16 among children aged 6–23 months in India. METHODS: A cross-sectional study was conducted using a large representative survey data. Data from the National Family Health Survey 2005–06 and 2015–16 was used. The effective sample size for the present study was 14,422 and 74,132 children aged 6–23 months in 2005–06 and 2015–16, respectively. The outcome variable was minimum adequate dietary diversity intake. Binary logistic regression was used to evaluate the factors associated with ADDI. Additionally, the Fairlie method of decomposition was used, which allows quantifying the total contribution of factors explaining the decadal change in the probability of ADDI among children aged 6–23 months in India. RESULTS: There was a significant increase in ADDI from 2005–06 to 2015–16 (6.2%; p < 0.001). Additionally, compared to the 2005–06 years, children were more likely to have ADDI [AOR; 1.29, CI: 1.22–1.35] in 2015–16. Mother's education explained nearly one-fourth of the ADDI change among children. Further, the regional level contribution of 62.3% showed that the gap was widening across regions between the year 2005–06 and 2015–16 in ADDI among children. The child's age explained 5.2% with a positive sign that means it widened the gaps. Whereas the household wealth quintile negatively contributed and explained by -5.2%, that means between the years the gaps has reduced in ADDI among children aged 6–23 months. CONCLUSION: Our findings indicate that increasing awareness of the use of mass media and improving the education levels of mothers would be beneficial for adequate dietary diversity intake among children aged 6–23 months. Investments should support interventions to improve overall infant and young children feeding practices in India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40795-022-00655-z.
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spelling pubmed-97936612022-12-28 Contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6–23 months): evidence from a cross-sectional survey in India Bhati, Divya Tripathy, Abhipsa Mishra, Prem Shankar Srivastava, Shobhit BMC Nutr Research BACKGROUND: The present study aims to estimate the factors contributing to the change adequate diversified dietary intake (ADDI) from 2005–06 to 2015–16 among children aged 6–23 months in India. METHODS: A cross-sectional study was conducted using a large representative survey data. Data from the National Family Health Survey 2005–06 and 2015–16 was used. The effective sample size for the present study was 14,422 and 74,132 children aged 6–23 months in 2005–06 and 2015–16, respectively. The outcome variable was minimum adequate dietary diversity intake. Binary logistic regression was used to evaluate the factors associated with ADDI. Additionally, the Fairlie method of decomposition was used, which allows quantifying the total contribution of factors explaining the decadal change in the probability of ADDI among children aged 6–23 months in India. RESULTS: There was a significant increase in ADDI from 2005–06 to 2015–16 (6.2%; p < 0.001). Additionally, compared to the 2005–06 years, children were more likely to have ADDI [AOR; 1.29, CI: 1.22–1.35] in 2015–16. Mother's education explained nearly one-fourth of the ADDI change among children. Further, the regional level contribution of 62.3% showed that the gap was widening across regions between the year 2005–06 and 2015–16 in ADDI among children. The child's age explained 5.2% with a positive sign that means it widened the gaps. Whereas the household wealth quintile negatively contributed and explained by -5.2%, that means between the years the gaps has reduced in ADDI among children aged 6–23 months. CONCLUSION: Our findings indicate that increasing awareness of the use of mass media and improving the education levels of mothers would be beneficial for adequate dietary diversity intake among children aged 6–23 months. Investments should support interventions to improve overall infant and young children feeding practices in India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40795-022-00655-z. BioMed Central 2022-12-27 /pmc/articles/PMC9793661/ /pubmed/36575545 http://dx.doi.org/10.1186/s40795-022-00655-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bhati, Divya
Tripathy, Abhipsa
Mishra, Prem Shankar
Srivastava, Shobhit
Contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6–23 months): evidence from a cross-sectional survey in India
title Contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6–23 months): evidence from a cross-sectional survey in India
title_full Contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6–23 months): evidence from a cross-sectional survey in India
title_fullStr Contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6–23 months): evidence from a cross-sectional survey in India
title_full_unstemmed Contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6–23 months): evidence from a cross-sectional survey in India
title_short Contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6–23 months): evidence from a cross-sectional survey in India
title_sort contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6–23 months): evidence from a cross-sectional survey in india
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793661/
https://www.ncbi.nlm.nih.gov/pubmed/36575545
http://dx.doi.org/10.1186/s40795-022-00655-z
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