Observation of children's age to predict maximum height

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/125882
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Title: Observation of children's age to predict maximum height
Authors: Purnama, Sapta Kunta | Hidayatullah, Muhammad Furqon | Umar, Fadilah | Riyadi, Slamet | Nurunniyah, Siti | Setiyowati, Eppy | Nora, Hilwah | Mukholid, Agus
Keywords: Physical education | Observation model | Height-for-age | Maximum height | Growth | Development
Knowledge Area: Educación Física y Deportiva
Issue Date: 2023
Publisher: Universidad de Alicante. Área de Educación Física y Deporte
Citation: Journal of Human Sport and Exercise. 2023, 18(2): 366-374. https://doi.org/10.14198/jhse.2023.182.08
Abstract: The ideal height is one of the things that people in Indonesia and around the world want. This study aims to formulate guidelines for predicting the maximum height of men and women. The method used in this research is descriptive. This study observed the growth and development of height for girls aged 0-18 years and boys aged 0-19 years. This research was conducted in the city of Surakarta, Central Java, Indonesia. The research sample was obtained from Posyandu, PAUD, SD, SMP, and SMA. Data were collected by observing the respondent's height. Data analysis used the Miles and Huberman model, namely data reduction, data tabulation, data presentation, and concluding. Measurements for predicting a child's height can be done by considering weight and age percentage. The results showed that predicting a child's height could be done by considering the percentage of weight and age. Every year the growth of the child's height will increase according to the age of growth. Therefore, child height growth data can predict the maximum height of children at the age of 18 years for girls and 19 years for boys. Furthermore, the child height prediction method can be applied to determine the child's height in the future.
URI: http://hdl.handle.net/10045/125882
ISSN: 1988-5202
DOI: 10.14198/jhse.2023.182.08
Language: eng
Type: info:eu-repo/semantics/article
Rights: This work is licensed under a Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Peer Review: si
Publisher version: https://doi.org/10.14198/jhse.2023.182.08
Appears in Collections:Journal of Human Sport and Exercise - 2023, Vol. 18, No. 2

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