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. 2023 Apr 24;94(2):e2023014.
doi: 10.23750/abm.v94i2.13940.

Is good dietary diversity a predictor of academic success?

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Is good dietary diversity a predictor of academic success?

Said Bouchefra et al. Acta Biomed. .

Abstract

Interest in identifying factors influencing educational success is growing. Many studies have examined factors that may affect academic performance. It is often observed that a group of students sharing the same external variables (school environment) yet have different results, which states that individual variables have more impact on the determination of academic performance. Therefore, the present study aims to substantiate this controversy by investigating the association between dietary habits and academic performance in a population of adolescents attending school in Eastern Morocco Methods: Cross-sectional study based on a self-administered questionnaire. Items included sociodemographic variables, eating and sleeping habits, physical activity practice and the last semester grade point average of mathematics (GPAm) and first foreign language (GPAf) subjects Results: Dietary diversity score (DDS) is a significant predictor of academic performance. Weight status and sleep duration was found to be strongly associated with academic achievement. Absenteeism and smoking are negatively associated with school achievement Conclusions: Findings indicate associations between dietary diversity and academic performance of students in eastern Morocco which support creation of effective nutrition education policies to eradicate the double burden of malnutrition on the one side leanness and on the other side fighting against obesity by promoting good diet in terms of quality and quantity and encouraging physical exercise. It is also essential to review the lifestyle of adolescents by raising awareness against the scourge of smoking near schools. The results of these actions are likely to be healthier schools and improved behavioral development and academic performance of children. (www.actabiomedica.it).

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Conflict of interest statement

Each author declares that he or she has no commercial associations (e.g. consultancies, stock ownership, equity interest, patent/licensing arrangement etc.) that might pose a conflict of interest in connection with the submitted article.

Figures

Figure 1.
Figure 1.
Residual diagnosis: First model with GPAf as dependent variable.
Figure 2.
Figure 2.
Residual diagnosis: Second model with GPAm as dependent variable.

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