167. BMI Changes in an Adolescent Population During the COVID-19 Pandemic Lock-Down


      The COVID-19 pandemic impacted behaviors associated with obesity, such as a decrease in physical activity, poor access to healthy food and consumption of sugary-drinks. Little is known on the effects of the pandemic on the weight of adolescents in the U.S, especially in urban settings. Our objective was to evaluate the Body Mass Index Percentile (BMIp) of adolescents 12-17 years old before and after the lockdown measures imposed with the COVID-19 pandemic. Furthermore, this study aims to determine if factors such as prior overweight/obesity, age, sex, and ethnicity were associated with changes.


      We performed a cross-sectional retrospective review of patients seen in the Adolescent clinic of a community hospital in Queens, NY aged 12 to 17 years old, who had a BMI recorded during the pre-lockdown period(January-2019 to February-2020) and during a post-lockdown period(June-2020 to February-2021). We generated an epic report displaying: age, DOB, race, ethnicity, BMI, height and weight. We calculated mean BMI and BMIp, categorized BMIp by nutritional status, and calculated the prevalence of overweight and obesity for each period. We used paired sample t-test to compare Pre and Post BMIp in the total population and in the subsets of initial BMIp, age, sex, ethnicity, and race using IBM SPSS Statistics for Windows version 25.


      Our sample was represented by 1378 adolescents aged 12-17 years old. Mean BMIp went from 75.0 pre-lockdown to 75.1 post-lockdown. Percentages for Overweight went from 25.4 pre-lockdown to 24.1 post-lockdown and Obesity from 27.8 to 28.6 respectively. There were no statistically significant differences in mean BMIp between pre and post-lock-down periods (t1359=.423,p=0.672). The average difference between pre and post-lock-down BMIp was 0.13 (95%CI[-.4736,7341]). When filtered by initial BMIp a decrease was noted at the levels of >85 and >95 (Mean 94.27 pre-lockdown to 93.21 post-lockdown,Correlation .690, (t722=-5.751,p=0.0) and Mean 97.633 pre-lockdown to 96.9 post-lockdown, Correlation .404, (t377=-4.238, p=0.0). On the contrary, there was an increase with initial BMIp<85 Mean 53.15 pre-lockdown to 54.623 post-lockdown, Correlation .819. (t636=2.378,p=.018). The analysis by age showed the highest variability of BMIp in the 16 years old group (.879) but this was not statistically significant (p=4.382). No differences were noted between paired samples by sex or ethnicity. Race information was missing in most patients


      In our population, the lockdown period was associated with an increase in BMIp among adolescents that were normal weight at baseline and a slight increase in the prevalence of obesity. On the contrary, it showed a decrease in the prevalence of overweight. Mechanisms how each group gained or lost weight are unclear, but could be related to baseline activity and nutritional habits. These changes were balanced and did not cause a change in the mean BMIp in the total population and were not significant enough to cause changes in proportions of the categories. Sex, age and ethnicity were not significantly associated with changes in BMIp in this population.

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