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.

Parental misperception of their child's weight status and how weight underestimation is associated with childhood obesity.

OBJECTIVES: Obesity is a major public health concern worldwide. This study aims to investigate the accuracy of parental perception of child's weight and related factors as well as how underestimation is associated with the prevalence of childhood obesity. METHODS: Data from 793 parents and respective children (6-10 years) were collected during the spring of 2013 and 2014. Height and weight were measured and used to calculate body mass index and obesity was classified using the International Obesity Task Force. Parents' perception of child's weight and socio-demographic characteristics were accessed by a questionnaire. Statistical tests were used, controlling for biological and social covariates. RESULTS: About 33% of parents misperceived their child's weight, of which 93% underestimated it. Different factors were found associated with greater parental underestimation according to children's weight status (ie, younger age) and sex (ie, higher mother's BMI, lower parental education, and household income for girls; living in an urban place for boys). Underestimation among girls, compared to boys, was more associated with socio-economic features of the family. For both sexes, children with excess weight were more likely to be underestimated by their parents. Parents who underestimated their child's weight were 10 to 20 times more likely to have an obese child. CONCLUSIONS: Findings suggest a social desirability bias in parental reports of child weight status. While some parents recognize their child's weight, others may feel embarrassed to discuss the fact that their child is overweight/obese and may feel reluctant in seeking the advice of a health care professional.