The dynamic inter-relationship between obesity and school performance: new empirical evidence from Australia

Nghiem, Son and Hoang, Viet-Ngu and Vu, Xuan-Binh and Wilson, Clevo (2018) The dynamic inter-relationship between obesity and school performance: new empirical evidence from Australia. Journal of Biosocial Science, 50 (5). pp. 683-705. ISSN 0021-9320


This paper proposes a new empirical model for examining the relationship between obesity and school performance using the simultaneous equation modelling approach. The lagged effects of both learning and health outcomes were included to capture both the dynamic and inter-relational aspects of the relationship between obesity and school performance. The empirical application of this study used comprehensive data from the first five waves of the Longitudinal Study of Australian Children (LSAC), which commenced in 2004 (wave 1) and was repeated every two years until 2018. The study sample included 10,000 children, equally divided between two cohorts (infants and children) across Australia. The empirical results show that past learning and obesity status are strongly associated with most indicators of school outcomes, including reading, writing, spelling, grammar and numeracy national tests, and scores from the internationally standardized Peabody Picture Vocabulary Test and the Matrix Reasoning Test. The main findings of this study are robust due to the choice of obesity indicator and estimation methods.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright date is 2017, but Publication date, as cited in this record, is 2018. Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Commerce
Date Deposited: 23 Jan 2019 02:28
Last Modified: 24 Jan 2019 05:13
Uncontrolled Keywords: obesity; school performance; Australia
Fields of Research : 14 Economics > 1402 Applied Economics > 140208 Health Economics
Identification Number or DOI: 10.1017/S0021932017000608

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