Family Factors Affecting the Transition of Children from Normal Weight to Obesity in Mexico.

Background: This study is a longitudinal analysis of how the transition of a mother, father, or any other family member to obesity affects the likelihood of children 5-12 years of age becoming adolescents with overweight or obesity during the 7-10-year period between 2002 and the period from 2009 to 2012 in Mexico. Methods: The study used two rounds of the Mexican Family Life Survey, a multipurpose random national survey that collected information on 8441 households, including 38,233 individuals in 2002 and successfully followed up with 3202 children until the period from 2009 to 2012. We used logistic regressions to calculate how family characteristics related to the evolution of body mass indexes among children, controlling for individual, family weight-related characteristics, and the socioeconomic level of the family. Results: The transition of any family member toward obesity is more relevant in determining the transition to obesity among normal-weight children than socioeconomic level of the family and individual characteristics, such as sex, schooling, and occupation. Conclusions: The transition of any family member toward obesity is associated with the transition to obesity among normal-weight children. A family-based approach to obesity prevention has yet to be incorporated into national policies.

COVID-19 blues: Lockdowns and mental health-related google searches in Latin America.

RATIONALE: Stress process theory considers that actual and perceived isolation, caused by mobility restrictions from attempted containment of the COVID-19 pandemic, deteriorates mental health. OBJECTIVE: We examine the relationship between the COVID-19 lockdowns and mental health-related Google searches in 11 Latin American countries. We include the following countries: Argentina, Bolivia, Chile, Colombia, Ecuador, Guatemala, Honduras, Mexico, Paraguay, Peru, and Uruguay. We also explore how changes in search patterns relate to income support policies and to COVID-19 death rates. METHOD: Using Google Trends data and an event-study design, as well as a difference-in-differences analysis, we investigate the association between country specific stay-at-home orders and internet searches including the following words: insomnia, stress, anxiety, sadness, depression, and suicide. RESULTS: We find three main patterns. First, searches for insomnia peak but then decline. Second, searches for stress, anxiety, and sadness increase and remain high throughout the lockdown. Third, there is no substantial change in depression-related or suicide-related searches after the lockdown. In terms of potential mechanisms, our results suggest that searches declined for suicide and insomnia following the passage of each country's income support, while in countries with higher COVID-19-related death rates, searches for insomnia, stress, and anxiety increased by more. CONCLUSIONS: Our results suggest that, in Latin America, Google searches for words associated with mild mental health disorders increased during the COVID-19 stay-at-home orders. Nonetheless, these conclusions should not be construed as a general population mental health deterioration, as we cannot verify that search indicators are accurately related to the users' current feelings and behaviors, and as internet users may not be representative of the population in this region.