Risk behaviors and the ideal body models of these Spanish and Mexican adolescent girls varied significantly, indicating major socio-cultural differences. However, the prevalence of ED was similar. Further research should aim to clarify whether the similarities found between this Spanish sample and a Mexican sample taken from an upper-middle class urban environment, a minority that is unrepresentative of the general population, are also observed in samples from other sectors of Mexican society.

Objective This study explored the effects of participating in a dissonance-based eating disorder prevention program on changes in thin ideal internalization, body dissatisfaction, and eating symptoms among White, Asian American, and Hispanic participants. Method Participants were (n = 394), 13 to 20-year-old adolescent girls and young women who reported being White (n = 311), Hispanic/Latina (n = 61), or Asian-American/Hawaiian/Pacific Islander (n = 33). The current study used data drawn from the pre- and post assessments of an efficacy trial and an effectiveness trial of this eating disorder prevention program. Results The intervention reduced disordered eating behaviors and eating disorder risk factors for all three ethnic groups at post-intervention assessment; there was no evidence of significantly stronger effects in any particular ethnic group. Conclusion Results suggest that a cognitive dissonance-based prevention program for eating disorders may be equally effective for Asian American, Hispanic, and White adolescent women.

The gut microbiota-brain axis is a complex communication network essential for host health. Any long-term disruption can affect higher cognitive functions, or it may even result in several chronic neurological diseases. The type and diversity of nutrients an individual consumes are essential for developing the gut microbiota (GM) and the brain. Hence, dietary patterns might influence networks communication of this axis, especially at the age that both systems go through maturation processes. By implementing Mutual Information and Minimum Spanning Tree (MST); we proposed a novel combination of Machine Learning and Network Theory techniques to study the effect of animal protein and lipid intake on the connectivity of GM and brain cortex activity (BCA) networks in children from 5-to 10 years old from an indigenous community in the southwest of México. Socio-ecological conditions in this nonwestern lifestyle community are very homogeneous among its inhabitants but it shows high individual heterogeneity in the consumption of animal products. Results suggest that MST, the critical backbone of information flow, diminishes under low protein and lipid intake. So, under these nonwestern regimens, deficient animal protein and lipid consumption diets may significantly affect the GM-BCA connectivity in crucial development stages. Finally, MST offers us a metric that unifies biological systems of different nature to evaluate the change in their complexity in the face of environmental pressures or disturbances. Effect of Diet on gut microbiota and brain networks connectivity.

We are not individuals, we are much better described as ecosystems due to trillions of bacteria and other microorganisms that inhabit us. We now know that gut microbiota can greatly influence many physiological parameters that in turn may impact several cognitive functions, such as learning, memory, and decision making processes. This mutualistic symbiotic relation known as the gut-brain axis is also constrained by external factors such as dietary habits such as animal protein and lipids intake. Using a novel combination of Machine Learning and Network Theory techniques, we provide evidence from an indigenous population in Guerrero Mexico, that both brain and gut-microbiota connectivity, evaluated by Minimum Spanning Tree as the critical backbone of information flow, diminish under either low protein or lipids intake. We discuss then how this loss of connectivity may translate into a reduction of the individual’s capacity to cope with perturbations as loss of connectivity may be linked with losses in antifragility.