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...
| Published in: | Malaysian Journal of Medical Sciences Vol. 29; no. 5; pp. 24 - 39 |
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| Main Authors: | , , , , , |
| Format: | research systematic review tables/charts Journal Article |
| Published: |
Malaysian Journal of Medical Sciences
2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160014008&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160014008 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1394195X YQP jtl: Malaysian Journal of Medical Sciences issn: 1394195X maglogo: N pubinfo: dt: 2022 vid: 29 iid: 5 pid: 23493 pub: Malaysian Journal of Medical Sciences artinfo: ui: 160014008 160014008 160014008 10.21315/mjms2022.29.5.4 160014008 ppf: 24 ppct: 15 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
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