The Great Recession weighted on Portuguese children: A structural equation modeling approach considering eating patterns.

OBJECTIVES: Further evidence on how the Great Recession was associated with childhood obesity is needed, particularly when the world is facing a new and severe economic downturn caused by the COVID-19 pandemic. This study explores: (1) the direct association of the 2008's economic crisis with eating patterns and body mass index (BMI), among children, independently of their socioeconomic status (SES), and (2) the indirect association between the crisis and children's BMI, by using eating patterns as mediators. METHODS: A sample of children (n = 8472, mean age: 7.17 years old, 50.8% male) was recruited in schools from the cities of Porto, Coimbra and Lisbon, Portugal. Children's height and weight were objectively measured; BMI was calculated. Other data were collected by a parental questionnaire. A structural equation modeling studied the associations between the economic crisis impact, eating patterns, and BMI; model was adjusted for SES. RESULTS: Children in families that reported a greater impact of the economic crisis showed higher consumption of unhealthy food items and lower consumption of healthy foods, regardless of SES. Indirectly, children whose parents scored higher in the economic crisis impact had higher BMI mediated by a higher consumption of cakes/chocolates and lower intake of vegetables/salads. CONCLUSIONS: The economic crisis was associated with higher BMI and unhealthy eating patterns. Efforts to promote healthy diets and weight are needed at a population level rather than for specific social classes, particularly in the face of a new economic crisis caused by the COVID-19 pandemic.

Sleep and Awakening Quality during COVID-19 Confinement: Complexity and Relevance for Health and Behavior.

OBJECTIVE: The aim of this study was to evaluate sleep and awakening quality (SQ and AQ) during COVID-19 in a large and diversified population in order to identify significant associations and risks in terms of demography, health and health-related behaviors, sleep variables, mental health, and attitudes. METHODS/RESULTS: Online surveys were used for data collection, received from 5479 individuals from the general population, sleep disorder patients, and COVID-involved (medical doctors (MDs) and nurses) and COVID-affected professionals (teachers, psychologists, and dentists). SQ and AQ were worse in adults, females, and high-education subjects. Feeling worse, having economic problems, depression, anxiety, irritability, and a high Calamity Experience Check List (CECL) score during COVID were significantly associated with poor SQ and AQ. Shorter sleep duration, increased latency, poor nutrition, low physical activity, increased mobile and social network use, more negative and less positive attitudes and behaviors were associated with poor AQ. CONCLUSIONS: The SQ logistic regression showed gender, morbidities, CECL, and awakenings as relevant, whereas, for AQ, relevant variables further included age and physical activity. Aiming to have a high stress compliance, each individual should sleep well, have important control of their mood, practice positive behaviors while dismissing negative behaviors and attitudes, practice exercise, have adequate nutrition, and beware of technologies and dependences.