Z-Score standard growth chart design of toddler weight using least square spline semiparametric regression

Nur Chamidah, Budi Lestari, Anies Y. Wulandari, Lailatul Muniroh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Underweight is a nutritional status of toddlers characterized by a lack of weight based on anthropometric index weight-for-age. In Indonesia, the anthropometric index is recorded on a KMS (Card Towards Health) which refers to WHO-2005 Standard Growth Chart (WHO-2005 SGC). The toddler samples used by WHO-2005 SGC, i.e., from Ghana, Oman, Norway, the USA, Brazil, and India, are physically different from the Indonesian toddlers. This research aims to design Z-Score Standard Growth Chart (Z-Score SGC) of weight-for-age based on sample toddlers from East Java by using least square spline estimator in semiparametric regression model. The obtained Z-Score SGC would be used to assess the nutritional status of toddlers in East Java. Results showed that the highest average weight gain was achieved at interval of age 0 ≤ t < 6 for about 0.7045 kg, and growth of toddler boys was higher than girls with a difference of 0.4 kg. Also, Z-Score SGC gave a lower reference than WHO-2005 SGC such that percentage of malnutrition and less-nutrition status categories provided by Z-Score SGC was also lower than those by WHO-2005 SGC.

Original languageEnglish
Title of host publicationInternational Conference on Mathematics, Computational Sciences and Statistics 2020
EditorsCicik Alfiniyah, Fatmawati, Windarto
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735440739
DOIs
Publication statusPublished - 26 Feb 2021
EventInternational Conference on Mathematics, Computational Sciences and Statistics 2020, ICoMCoS 2020 - Surabaya, Indonesia
Duration: 29 Sept 2020 → …

Publication series

NameAIP Conference Proceedings
Volume2329
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Conference on Mathematics, Computational Sciences and Statistics 2020, ICoMCoS 2020
Country/TerritoryIndonesia
CitySurabaya
Period29/09/20 → …

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