Detecting Local Clusters of Under-5 Malnutrition in the Province of Marinduque, Philippines Using Spatial Scan Statistic.

IF 2.3 Q3 NUTRITION & DIETETICS Nutrition and Metabolic Insights Pub Date : 2020-07-10 eCollection Date: 2020-01-01 DOI:10.1177/1178638820940670
Novee Lor C Leyso, Maylin C Palatino
{"title":"Detecting Local Clusters of Under-5 Malnutrition in the Province of Marinduque, Philippines Using Spatial Scan Statistic.","authors":"Novee Lor C Leyso,&nbsp;Maylin C Palatino","doi":"10.1177/1178638820940670","DOIUrl":null,"url":null,"abstract":"<p><p>Underweight and overweight among under-5 children continue to persist in the island Province of Marinduque, Philippines. Local spatial cluster detection provides a spatial perspective in understanding this phenomenon, specifically in which areas the double burden of malnutrition occurs. Using data from a province-wide census conducted in 2014-2016, we aimed to identify spatial clusters of different forms of malnutrition in the province and determine its relative risk. Weight-for-age z score was used to categorize the malnourished children into severely underweight, moderately underweight, and overweight. We used the multinomial model of Kulldorff's elliptical spatial scan statistic, adjusting for age and socioeconomic status. Four significant clusters across municipalities of Boac, Buenavista, Gasan, and Torrijos were found to have high risk of overweight and underweight simultaneously, indicating existence of double burden of malnutrition within these communities. These clusters should be targeted with tailored plans to respond to malnutrition, at the same time maximizing the resources and benefits.</p>","PeriodicalId":19396,"journal":{"name":"Nutrition and Metabolic Insights","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2020-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1178638820940670","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition and Metabolic Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1178638820940670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 7

Abstract

Underweight and overweight among under-5 children continue to persist in the island Province of Marinduque, Philippines. Local spatial cluster detection provides a spatial perspective in understanding this phenomenon, specifically in which areas the double burden of malnutrition occurs. Using data from a province-wide census conducted in 2014-2016, we aimed to identify spatial clusters of different forms of malnutrition in the province and determine its relative risk. Weight-for-age z score was used to categorize the malnourished children into severely underweight, moderately underweight, and overweight. We used the multinomial model of Kulldorff's elliptical spatial scan statistic, adjusting for age and socioeconomic status. Four significant clusters across municipalities of Boac, Buenavista, Gasan, and Torrijos were found to have high risk of overweight and underweight simultaneously, indicating existence of double burden of malnutrition within these communities. These clusters should be targeted with tailored plans to respond to malnutrition, at the same time maximizing the resources and benefits.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用空间扫描统计检测菲律宾马林杜克省5岁以下儿童营养不良的局部聚集性
在菲律宾马林杜克岛省,5岁以下儿童的体重不足和超重问题继续存在。局部空间聚类检测为理解这一现象提供了空间视角,特别是在发生营养不良双重负担的地区。利用2014-2016年全省人口普查数据,我们旨在确定全省不同形式营养不良的空间集群,并确定其相对风险。体重年龄z评分将营养不良儿童分为严重体重过轻、中度体重过轻和超重。我们使用Kulldorff椭圆空间扫描统计的多项模型,调整了年龄和社会经济地位。在Boac、Buenavista、Gasan和Torrijos市的四个重要集群中发现同时存在超重和体重不足的高风险,表明这些社区存在营养不良的双重负担。应针对这些群组制定有针对性的计划,以应对营养不良,同时最大限度地利用资源和效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Nutrition and Metabolic Insights
Nutrition and Metabolic Insights NUTRITION & DIETETICS-
CiteScore
3.30
自引率
0.00%
发文量
27
审稿时长
8 weeks
期刊介绍: Nutrition and Metabolic Insights is a peer-reviewed, open-access online journal focusing on all aspects of nutrition and metabolism. This encompasses nutrition, including the biochemistry of metabolism, exercise and associated physical processes and also includes clinical articles that relate to metabolism, such as obesity, lipidemias and diabetes. It includes research at the molecular, cellular and organismal levels. This journal welcomes new manuscripts for peer review on the following topics: Nutrition, including the biochemistry of metabolism, Exercise and associated physical processes, Clinical articles that relate to metabolism, such as obesity, lipidemias and diabetes, Research at the molecular, cellular and organismal levels, Other areas of interest include gene-nutrient interactions, the effects of hormones, models of metabolic function, macronutrient interactions, outcomes of changes in diet, and pathophysiology.
期刊最新文献
Dietary Flavonoid Intake and Risk of Mild Cognitive Impairment in the Elderly: A Case-Control Study. Effects of High-Carbohydrate and High-Fat Diets on Parasympathetic and Sympathetic Nervous Activities: An Experimental Study Using Heart Rate Variability. Hyperuricemia and Associated Factors in Adult Cardiac Patients in Western Oromia, Ethiopia. Therapeutic Effects of Vitamins and Nutritional Supplements on Sinusitis: A Narrative Review. Potential Beneficial Effects of Crab-Flavored Seafood Intake in Young Rats.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1