Factors associated with coverage of vitamin a supplementation among Bangladeshi children: mixed modelling approach.

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  • Additional Information
    • Source:
      Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE
    • Publication Information:
      Original Publication: London : BioMed Central, [2001-
    • Subject Terms:
    • Abstract:
      Background: Vitamin A deficiency (VAD) is a prominent and widespread public health problem in developing countries, including Bangladesh. About 2% of all deaths among under-five children are attributable to VAD. Evidence-based information is required to understand the influential factors to increase vitamin A supplementation (VAS) coverage and reduce VAD. We investigated the potential factors affecting VAS coverage and its significant predictors among Bangladeshi children aged 6 to 59 months using the VAS clustered data extracted from the latest Bangladesh Demographic and Health Survey 2014.
      Methods: Data were analysed using mixed logistic regression (MLR) modelling approach in the generalised linear mixed model framework. The MLR model performs better than logistic regression for analysing the clustered data because of its minimum Akaike information criterion value. The likelihood ratio test showed that the variance component was significant. Therefore, the clustering effect among children was inevitable to use.
      Results: VAS coverage among under-five children was 63.6%, which is not optimal and below the WHO's recommendation and the country's target of 90%. Children aged 25 to 36 months (AOR = 2.07, 95% CI: 1.711 to 2.513), who had higher educated mothers (AOR = 1.37, p = 0.033, 95% CI: 1.026-1.820) and fathers (AOR = 1.32, p = 0.027, 95% CI: 1.032-1.683), whose mothers had media exposure (AOR = 1.22, p = 0.006, 95% CI: 1.059-1.408) and NGO membership (AOR = 1.24, p = 0.002, 95% CI: 1.089-1.422) were more likely to consume VAS.
      Conclusion: The relevant authorities should create proactive awareness programs for highly vulnerable local communities, specifically targeted to educate the children's mothers about the necessity and benefits of childhood nutrition.
    • References:
      Nutrients. 2017 Feb 24;9(3):. (PMID: 28245571)
      BMC Public Health. 2013 Feb 25;13:172. (PMID: 23442248)
      J Health Popul Nutr. 2005 Jun;23(2):156-64. (PMID: 16117368)
      Public Health Nutr. 2017 Aug;20(11):2016-2022. (PMID: 28532531)
      Health Policy Plan. 2005 Jan;20(1):60-6. (PMID: 15689431)
      J Hum Nutr Diet. 2017 Oct;30(5):615-620. (PMID: 28124396)
      J Health Popul Nutr. 2010 Apr;28(2):143-8. (PMID: 20411677)
      Geospat Health. 2017 May 08;12(1):495. (PMID: 28555467)
      Ann Nutr Metab. 2015;66 Suppl 2:22-33. (PMID: 26045325)
      J Health Popul Nutr. 2013 Dec;31(4):413-23. (PMID: 24592582)
      Int J Epidemiol. 2015 Jun;44(3):906-18. (PMID: 26142161)
      BMJ. 2011 Aug 25;343:d5094. (PMID: 21868478)
      Int J Med Public Health. 2013 Mar 31;3(1):48-54. (PMID: 25729705)
      Lancet Glob Health. 2015 Sep;3(9):e528-36. (PMID: 26275329)
      Asia Pac J Clin Nutr. 2008;17(3):446-50. (PMID: 18818165)
      Cochrane Database Syst Rev. 2010 Dec 08;(12):CD008524. (PMID: 21154399)
      J Pediatr (Rio J). 2020 Mar - Apr;96(2):184-192. (PMID: 30321494)
      Glob Health Action. 2019;12(1):1588513. (PMID: 31062664)
    • Contributed Indexing:
      Keywords: Clustered data; Intra-cluster correlation; Likelihood ratio test; Mixed logistic regression model; Vitamin a supplementation
    • Accession Number:
      11103-57-4 (Vitamin A)
    • Publication Date:
      Date Created: 20210402 Date Completed: 20210521 Latest Revision: 20210521
    • Publication Date:
      20240104
    • Accession Number:
      PMC8017789
    • Accession Number:
      10.1186/s12889-021-10735-7
    • Accession Number:
      33794858