Literature DB >> 25900800

School lunch, policy, and environment are determinants for preventing childhood obesity: Evidence from a two-year nationwide prospective study.

Yiing Mei Liou1, Ya-Lan Yang2, Ting-Yao Wang3, Chiu-Mieh Huang2.   

Abstract

To explore the effects of the school lunches related factors on student obesity rates. In this 2-year prospective census, we collected data on the obesity rate in 2007 and 2008 and school lunch data for 2007 from the Student Health Examination and School Health Profile Database. We used geographic information system software to collect spatial environmental data. Hierarchical regression was used to analysis data. A total of 2208 elementary and junior high schools, excluding offshore islands in Taiwan were collected. The highest obesity rate (13.5%) was observed at a school in which one school meal cost less than US$ 0.83 in 2008. The obesity rates in schools that employed dietitians were lower than in schools that did not (p<0.001 in 2007, 2008). School lunches and childhood obesity exert a greater effect on boys than on girls.
Copyright © 2015 Asia Oceania Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Body weight; Child; Dietitians; Health-promoting school; School meal

Mesh:

Year:  2015        PMID: 25900800     DOI: 10.1016/j.orcp.2015.02.012

Source DB:  PubMed          Journal:  Obes Res Clin Pract        ISSN: 1871-403X            Impact factor:   2.288


  2 in total

1.  Influencing Factors of the Body Mass Index of Elementary Students in Southern Taiwan.

Authors:  Li-Na Chou; Min-Li Chen
Journal:  Int J Environ Res Public Health       Date:  2017-02-23       Impact factor: 3.390

2.  What's for lunch? The content and quality of lunches consumed by Dutch primary schoolchildren and the differences between lunches consumed at home and at school.

Authors:  Frédérique C Rongen; Ellen van Kleef; Sienna Sanjaya; Monique H Vingerhoeds; Elly J M Buurma-Rethans; Coline van den Bogaard; Caroline T M van Rossum; Jacob C Seidell; S Coosje Dijkstra
Journal:  BMC Public Health       Date:  2019-10-24       Impact factor: 3.295

  2 in total

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