Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/59435
Title: Dietary patterns of 18–month old infants in Singapore
Authors: Eu, Li Juan
Keywords: Science::Biological sciences
Issue Date: 2014
Publisher: Nanyang Technological University
Abstract: The Growing Up in Singapore Towards healthy Outcomes (GUSTO) study is the first population-based birth cohort in Singapore designed to understand the developmental origins of health and disease from an Asian perspective. Existence of the three major ethnic groups (Chinese, Malay and Indian) in Singapore present a perfect setting to examine dietary habits of Asian infants. By using a common data collection approach in a diversity of ethnic groups within a single study, interethnic comparisons can be made. For this project, a semi-quantitative food frequency questionnaire (SFFQ) designed by GUSTO for the 18-month old (M18) infants will be analyzed for identifying dietary patterns and consumption of key foods and food groups. The objectives are to transform information in the questionnaires into quantifiable values and by using statistical tools to analyze the data and at the same time, relate with economic and socio-demographic characteristics. Two patterns were defined: “Convenience food” and “Traditional food”. Results showed that the Malays (p=0.018) and younger mothers (p=0.033) follow more closely to “convenience food” pattern which consisted of foods that require less preparation time. This supported the theory that maternal demographic factors and the child’s early dietary patterns are associated.
URI: http://hdl.handle.net/10356/59435
Schools: School of Biological Sciences 
Organisations: A*STAR Singapore Institute for Clinical Sciences
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SBS Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
EuLiJuan.pdf
  Restricted Access
453.13 kBAdobe PDFView/Open

Page view(s)

265
Updated on May 25, 2024

Download(s)

4
Updated on May 25, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.