Association of Academic Performance With Obesity and Unhealthy Lifestyle Among Female University Students

A four-factor model of executive function: Predicting physical and academic outcomes from cognitive assessments in adolescents

Impulsivity and cognitive function are essential for understanding behavioral regulation, particularly in relation to health-risk behaviors like substance use, physical activity, and academic performance. This study examined the factor structure underlying executive function in adolescents using the UPPS-P Impulsive Behavior Scale and NIH Toolbox Cognition Battery. We explored how parental monitoring moderates, and peer network health and perceived stress mediate, relationships between cognitive function and outcomes such as BMI, physical activity, and academic performance. Exploratory factor analysis (EFA) on 2228 observations identified a four-factor model (BIC = -97.92, RMSEA = 0.040, TLI = 0.936), validated by confirmatory factor analysis (CFA) (CFI = 0.961, RMSEA = 0.055). Structural equation modeling (SEM) on 5902 observations showed that parental monitoring moderated Factor 1 (adaptive impulsivity) in relation to physical activity and academic performance, while peer network health mediated Factor 2 (emotional impulsivity) effects on BMI and physical activity. This model underscores the influence of peer relationships, parental involvement, and stress on cognitive, health, and academic outcomes, suggesting that interventions enhancing peer support, reducing stress, and promoting healthy behaviors may improve adolescent well-being.

Associations between total physical activity levels and academic performance in adults: A systematic review and meta-analysis

Physical activity has been associated with positive health-related outcomes. Physical inactivity, conversely, has been associated with several negative health outcomes. One topic that has been consistently examined is the relationship between physical activity and academic performance in children; however, studies that involve university-level students have not been aggregated to date. It is therefore the aim of this systematic review to examine the relationship between physical activity and academic performance in university-level students. This systematic review was conducted in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and included any study published until September 2023 that examined associations between physical activity and any measure of academic performance. SPORTDiscus, ERIC, the British Education Index, Scopus, Embase, Web of Science, and PubMed were searched. A random effects meta-analysis was also undertaken, and risk bias was assessed using the Newcastle Ottawa Scale. After screening, 36 studies were included, with six studies being included in the meta-analysis. The meta-analysis found a significant association between physical activity (high versus low) and academic performance (high versus low performers) (odds ratio = 3.04; 95% CI = 1.84-5.02; P ≤ 0.001; I2 = 49.62). These results, however, were deemed to be of low credibility. The narrative analysis yielded mixed results, with 50% of studies reporting positive associations and the remaining studies reporting no significant associations. This trend did not differ depending on the subjective or objective measurement of physical activity. Although this review found meta-analytic significant associations between physical activity and academic performance, these results should be treated with caution, as the remaining studies yielded mixed results. Future studies should aim to focus on objective measurements of physical activity where possible to further explore this potential relationship.

Efficacy of Dapagliflozin Combined with Lifestyle Intervention in Obesity Control

Objective

To explore the best treatment of obesity in middle and old age.

Methods

80 obese patients in our hospital from January 2020 to December 2021 were randomly divided into the control group and the intervention group according to the numerical table method. The control group was treated with lifestyle intervention, while the intervention group was treated with dapagliflozin combined with lifestyle intervention. The effects of body weight, body mass index (BMI), waist circumference, and blood lipids (LDL, HDL, TC, and TG) were measured and compared. Anxiety and depression scores were assessed using the 2018 Revised Anxiety and Depression Scale.

Results

There were no significant differences in body weight, BMI, and waist circumference between the control group and the intervention group before treatment. After treatment, the weight, BMI, and waist circumference of the intervention group were lower than those of the control group, and the difference was statistically significant (P < 0.05). After treatment, LDL, TC, and TG in the two groups were decreased, and HDL was significantly increased (P < 0.05). After treatment, the blood lipid level in the intervention group was significantly lower than that in the control group (P < 0.05). Anxiety and depression symptoms improved in both groups, and there were no serious adverse effects.

Conclusion

Dapagliflozin in combination with a lifestyle intervention effectively and safely treats excess weight in middle-aged and older adults, reverses obesity-related markers, and improves psychological symptoms. Its curative effect is better than that of using lifestyle intervention alone.