Predictors of Overweight and Obesity in Early Care and Education Teachers during COVID-19.

The purpose of this cross-sectional study was to determine individual, sociocultural, policy, and economic predictors of overweight/obesity in early care and education (ECE) teachers to identify modifiable opportunities to enhance the health of this critical workforce. ECE teachers (n = 1434) in the U.S. completed an online survey in late spring to mid-summer 2020. Teachers self-reported height and weight; body mass index (BMI) and weight status were calculated. Teachers reported micro-environment variables including age, race, gender, obesogenic lifestyle behaviors, well-being, food security, personal health, stress, job stress, type of ECE, COVID-19 teaching modality, and age of children in the classroom. Logistic regression predicting overweight/obesity and linear regression predicting BMI were conducted. Teachers with more years of teaching experience (OR: 1.022: 95% CI 1.005, 1.039) and higher consumption of fast food (2.038: 1.310, 3.169) had higher odds of overweight/obesity. Teachers with higher levels of education (0.58: 0.407, 0.828) and higher physical health (0.836: 0.775, 0.902) had lower odds of overweight/obesity. Other variables were not associated with overweight/obesity. Variables significant in logistic regression were also associated with higher BMI. Additionally, Native American race (ß = 2.467 SE = 1.206) and sedentary hours/day (ß = 0.152 SE = 0.075) were associated with higher BMI. Implications for enhancing workplace health for these ECE teachers are emerging.

Both sides of the screen: Predictors of parents' and teachers' depression and food insecurity during COVID-19-related distance learning.

The COVID-19 pandemic has placed unprecedented strains on both parents and teachers, both of whose mental and financial hardships have serious implications for young children's wellbeing. We drew on an existing cohort study of families with low incomes in Tulsa, OK when children were in their Spring of first grade in 2020. We surveyed parents and teachers - children's caregivers on both sides of the screen during distance learning - before and after the COVID-19 pandemic hit and schools were closed. We first compared the proportion of parents and teachers who were depressed and food-insecure before and after the pandemic struck. We then used pre-pandemic characteristics of parents and teachers in separate models to predict their depression and food insecurity during the pandemic. Results showed that rates of depression among both parents and teachers spiked after COVID-19, and food insecurity rates also increased among parents. For both parents and teachers, the strongest predictor of depression during COVID-19 was having experienced depression before the pandemic. Similarly, the strongest predictor of food insecurity during COVID-19 was having experienced food insecurity beforehand. These results point intervention efforts towards identifying the caregivers of children in low-income contexts whose mental and financial wellbeing are likely to be most compromised during this and perhaps future disasters.