La Trobe

The correlation between dietary patterns with nutritional status on 10-12 years old student

journal contribution
posted on 2020-12-22, 06:39 authored by EMM Has, TW Ningtias, Setho HadisuyatmanaSetho Hadisuyatmana
http://www.sysrevpharm.org/?mno=104096

© 2020 EManuscript Technologies. All rights reserved. Children disposed to rule out of the dietary pattern. Meanwhile, Dietary habits are needed by children to grow and develop optimally. This study aimed to analyze the correlation between dietary patterns with nutritional status on 10-12 years old students at Primary School Sumberkembar 03, Binangun. The research design was a cross-sectional study. Samples were 28 respondents chosen by using simple random sampling. The independent variable is the dietary pattern, and the dependent variable is nutritional status. The instruments used are food recall 3x24 hours and Body Mass index. Data were analyzed using Spearman's Rho with a significant level of p <0.005. The results had shown that there was no correlation between dietary patterns and nutritional status (p=0.364). This research was limited to the dietary design, while more factors can affect nutritional status. It can be concluded that food patterns did not correlate with the nutritional status of children aged 10-12 years old student, in further research with different research methods to assess nutritional status more accurately.

History

Publication Date

2020-07-01

Journal

Systematic Reviews in Pharmacy

Volume

11

Issue

6

Pagination

4p. (p. 1121-1124)

Publisher

Wolters Kluwer

ISSN

0975-8453

Rights Statement

The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs. Documents deposited in OPAL are the Open Access versions of outputs published elsewhere. Changes resulting from the publishing process may therefore not be reflected in this document. The final published version may be obtained via the publisher’s DOI. Please note that additional copyright and access restrictions may apply to the published version.

Usage metrics

    Journal Articles

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC