A Review of Spatial Analysis Application in Childhood Malnutrition Studies.

Approximately 230 million children under 5 years old of age suffer from malnutrition and over half of the children below 5 years old deaths are due to malnutrition nowadays. To gain a better understanding of this problem, the application of spatial analysis has risen exponentially in recent years. I...

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Published in:Malaysian Journal of Medical Sciences Vol. 29; no. 5; pp. 24 - 39
Main Authors: SHAMSUDDIN, Aida Soraya, MOHD ABU BAKAR, Wan Azdie, SYED ISMAIL, Sharifah Norkhadijah, JAAFAR, Nurul Hazirah, MOHD YASSIN, Wardah, NORHIZAT, Maisarah
Format: research systematic review tables/charts Journal Article
Published: Malaysian Journal of Medical Sciences 2022
Online Access:View this record in EBSCOhost
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      dt: 2022
      vid: 29
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      pub: Malaysian Journal of Medical Sciences
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        10.21315/mjms2022.29.5.4
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        atl: A Review of Spatial Analysis Application in Childhood Malnutrition Studies.
      aug:
        au:
          SHAMSUDDIN, Aida Soraya
          MOHD ABU BAKAR, Wan Azdie
          SYED ISMAIL, Sharifah Norkhadijah
          JAAFAR, Nurul Hazirah
          MOHD YASSIN, Wardah
          NORHIZAT, Maisarah
        affil: Department of Nutrition Sciences, Kulliyyah of Allied Health Sciences, International Islamic University Malaysia (IIUM), Pahang, Malaysia
      sug:
        subj:
          Malnutrition Complications
          Child Mortality
          Human
          Systematic Review
          Descriptive Statistics
          Data Analysis Software
          PubMed
          CINAHL Database
          Geographic Information Systems
          Child
          Child: 6-12 years
      ab: Approximately 230 million children under 5 years old of age suffer from malnutrition and over half of the children below 5 years old deaths are due to malnutrition nowadays. To gain a better understanding of this problem, the application of spatial analysis has risen exponentially in recent years. In this review, the present state of information on the use of spatial analysis in childhood malnutrition studies was evaluated using four databases of digital scientific journals: ScienceDirect, Scopus, PubMed and CINAHL. We chose 2,278 articles from the search results and a total of 27 articles met our criteria for review. The following information was extracted from each article: objective of study, study area, types of malnutrition, subject, data sources, computer software packages, spatial analysis and factors associated with childhood malnutrition. A total of 10 spatial analysis methods were reported in the reviewed articles and the Bayesian geoadditive regression model was the most common method applied in childhood malnutrition studies. This review highlights the importance of the application of spatial analysis in determining the geographic distribution of malnutrition cases, hotspot areas and risk factors correlated with childhood malnutrition. It also provides implications for strategic initiatives to eradicate all forms of malnutrition.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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