The Apples of Academic Performance: Associations Between Dietary Patterns and Academic Performance in Australian Children.

BACKGROUND: The purpose of this study was to determine whether there was an association between dietary patterns and children's academic performance. METHODS: This cross-sectional study involved 315 children aged 9-11 years from 26 schools in Australia. Academic performance was measured in 4 domains (reading, writing, numeracy, and language-subdomains: spelling, grammarm and punctuation) using the National Assessment Program in Literacy and Numeracy (NAPLAN). A self-reported child questionnaire collected dietary intake data. "Core" (healthy) and "noncore" (unhealthy) dietary patterns were derived using principal components analysis. RESULTS: The noncore pattern was associated with lower NAPLAN scores across all academic domains (mean: -12.6, 95% CI: -18.7 to -6.4, r2 = .073, p < .001) except writing, while the core foods pattern was not associated with NAPLAN scores across all domains. When the noncore model was adjusted for sociodemographic covariates (child body mass index, ethnicity, sex, parental education, household income, marital status, mother's employment hours, and number of siblings), the association was attenuated but remained statistically significant (NAPLAN summary score: -8.5, 95% CI -15.0 to -1.9, r2 = .123, p = .011). CONCLUSIONS: Academic performance was deleteriously associated with a nutrient-poor, energy-dense diet, yet not associated with a nutritious diet.

Academic Performance and Lifestyle Behaviors in Australian School Children: A Cluster Analysis.

Poor academic performance has been linked with particular lifestyle behaviors, such as unhealthy diet, short sleep duration, high screen time, and low physical activity. However, little is known about how lifestyle behavior patterns (or combinations of behaviors) contribute to children's academic performance. We aimed to compare academic performance across clusters of children with common lifestyle behavior patterns. We clustered participants (Australian children aged 9-11 years, n = 284) into four mutually exclusive groups of distinct lifestyle behavior patterns, using the following lifestyle behaviors as cluster inputs: light, moderate, and vigorous physical activity; sedentary behavior and sleep, derived from 24-hour accelerometry; self-reported screen time and diet. Differences in academic performance (measured by a nationally administered standardized test) were detected across the clusters, with scores being lowest in the Junk Food Screenies cluster (unhealthy diet/high screen time) and highest in the Sitters cluster (high nonscreen sedentary behavior/low physical activity). These findings suggest that reduction in screen time and an improved diet may contribute positively to academic performance. While children with high nonscreen sedentary time performed better academically in this study, they also accumulated low levels of physical activity. This warrants further investigation, given the known physical and mental benefits of physical activity.

The associations between physical activity, sedentary behaviour and academic performance.

OBJECTIVES: To examine the relationships between children's moderate-to-vigorous physical activity (MVPA), sedentary behaviours, and academic performance. DESIGN: This study investigated cross-sectional relationships between children's accelerometer-measured physical activity and sedentary behaviour patterns, and academic performance using a standardised, nationally-administered academic assessment. METHODS: A total of 285 Australian children aged 9-11 years from randomly selected schools undertook 7-day 24h accelerometry to objectively determine their MVPA and sedentary behaviour. In the same year, they completed nationally-administered standardised academic testing (National Assessment Program-Literacy and Numeracy; NAPLAN). BMI was measured, and socio-demographic variables were collected in a parent-reported survey. Relationships between MVPA, sedentary behaviour and academic performance across five domains were examined using Generalised Linear Mixed Models, adjusted for a wide variety of socio-demographic variables. RESULTS: Higher academic performance was strongly and consistently related to higher sedentary time, with significant relationships seen across all five academic domains (range F=4.13, p=0.04 through to F=18.65, p=<0.01). In contrast, higher academic performance was only related to higher MVPA in two academic domains (writing F=5.28, p=0.02, and numeracy F=6.28, p=0.01) and was not related to language, reading and spelling performance. CONCLUSIONS: Findings highlight that sedentary behaviour can have positive relationships with non-physical outcomes. Positive relationships between MVPA and literacy and numeracy, as well as the well documented benefits for MVPA on physical and social health, suggest that it holds an important place in children's lives, both in and outside of school.