Estimates of the Nutritional Impact of Non-Participation in the National School Lunch Program during COVID-19 School Closures.
Estimates of the Nutritional Impact of Non-Participation in the National School Lunch Program during COVID-19 School Closures.
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作者:
The COVID-19 pandemic resulted in widespread school closures, reducing access to school meals for millions of students previously participating in the US Department of Agriculture (USDA) National School Lunch Program (NSLP). School-prepared meals are, on average, more nutritious than home-prepared meals. In the absence of recent data measuring changes in children’s diets during the pandemic, this article aims to provide conservative, back-of-the-envelope estimates of the nutritional impacts of the pandemic for school-aged children in the United States. We used administrative data from the USDA on the number of NSLP lunches served in 2019 and 2020 and nationally representative data from the USDA School Nutrition and Meal Cost Study on the quality of school-prepared and home-prepared lunches. We estimate changes in lunchtime calories and nutrients consumed by NSLP participants from March to November 2020, compared to the same months in 2019. We estimate that an NSLP participant receiving no school meals would increase their caloric consumption by 640 calories per week and reduce their consumption of nutrients such as calcium and vitamin D. Because 27 to 78 million fewer lunches were served per week in March–November 2020 compared to the previous year, nationally, students may have consumed 3 to 10 billion additional calories per week. As students return to school, it is vital to increase school meal participation and update nutrition policies to address potentially widening nutrition disparities.
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影响因子:
4.8
作者:
Cohen JFW;Jahn JL;Richardson S;Cluggish SA;Parker E;Rimm EB
通讯作者:
Rimm EB
DOI:
10.1007/s11524-020-00476-0
发表时间:
2020-12
期刊:
Journal of urban health : bulletin of the New York Academy of Medicine
影响因子:
--
作者:
McLoughlin GM;McCarthy JA;McGuirt JT;Singleton CR;Dunn CG;Gadhoke P
通讯作者:
Gadhoke P
影响因子:
2.2
作者:
Brazendale, Keith;Beets, Michael W.;Weaver, Robert G.
通讯作者:
Weaver, Robert G.
影响因子:
5.5
作者:
Franckle R;Adler R;Davison K
通讯作者:
Davison K
影响因子:
5.9
作者:
Cohen JFW;Hecht AA;McLoughlin GM;Turner L;Schwartz MB
通讯作者:
Schwartz MB