| Literature DB >> 35234278 |
Anne Whitesell1, Hunter Fitch2.
Abstract
BACKGROUND: Millions of school-aged children receive free or reduced-price lunches through the United States Department of Agriculture's (USDA) National School Lunch Program; that service was disrupted when public schools closed at the beginning of the coronavirus pandemic. Prior to the pandemic, this program received little attention on school districts' social media accounts.Entities:
Keywords: health communication; health policy; nutrition and diet
Mesh:
Year: 2022 PMID: 35234278 PMCID: PMC9115237 DOI: 10.1111/josh.13151
Source DB: PubMed Journal: J Sch Health ISSN: 0022-4391 Impact factor: 2.460
Mentions of School Nutrition Keywords in Absolute Numbers and as a Percentage of All Tweets
| Meals, n (%) | Lunch, n (%) | Breakfast, n (%) | Pickup, n (%) | |
|---|---|---|---|---|
| Pre‐March 2020 | 107 (0.10) | 841 (0.53) | 345 (0.25) | 173 (0.14) |
| March 2020 and after | 349 (1.10) | 423 (1.13) | 168 (0.47) | 322 (1.06) |
| Total | 456 | 1264 | 513 | 495 |
Ordinary Least Squares Models—Mentions of School Nutrition Keywords (2020)
| Meal | Lunch | Breakfast | Pickup | |
|---|---|---|---|---|
| Households with internet access (%) | 0.042 (0.047) | 0.066 (0.055) | −0.005 (0.035) | 0.024 (0.053) |
| Total expenditures per pupil (in $1000s) | 0.146 (0.097) | 0.040 (0.113) | −0.019 (0.071) | −0.046 (0.110) |
| Total number of tweets | −0.002 (0.003) | −0.003 (0.003) | −0.002 (0.002) | −0.001 (0.003) |
| Economically disadvantaged pupils (%) | −1.633 (1.149) | −1.020 (1.302) | −0.382 (0.821) | 0.211 (1.263) |
| Median household income (in $1000s) | −0.028 (0.015) | −0.014 (0.017) | −0.003 (0.010) | −0.008 (0.016) |
| Non‐white population (%) | −0.007 (0.015) | 0.002 (0.018) | 0.000 (0.011) | −0.019 (0.017) |
| District square mileage | 0.009 | 0.009 | 0.000 (0.002) | 0.003 (0.003) |
| District pupil density | 0.004 | 0.003 | 0.001 (0.001) | 0.002 (0.001) |
| District total average daily enrollment |
0.073 (0.072) | 0.016 (0.084) | 0.065 (0.053) | −0.068 (0.082) |
| February | −0.269 (0.709) | −0.014 (0.819) | −0.002 (0.516) | −0.030 (0.795) |
| March | 1.837 | 3.800 | 2.075 | 2.082 |
| April | 0.812 (0.709) | 1.548 (0.819) | 0.491 (0.516) | 1.939 |
| May | 0.577 (0.709) | 0.164 (0.819) | 0.189 (0.516) | 1.395 (0.795) |
| June | 1.655 | 0.129 (0.819) | 0.185 (0.516) | 1.710 |
| July | −0.009 (0.709) | −0.195 (0.820) | −0.030 (0.516) | 0.823 (0.795) |
| August | 0.339 (0.704) | 0.282 (0.813) | 0.238 (0.513) | 2.512 |
| September | 0.638 (0.704) | 2.483 | 1.353 | 0.496 (0.789) |
| October | 1.484 | 1.516 (0.814) | 0.098 (0.513) | 0.943 (0.789) |
| November | 0.451 (0.702) | 0.156 (0.811) | 0.019 (0.511) | 0.787 (0.787) |
| December | 0.969 (0.702) | 0.531 (0.811) | 0.046 (0.511) | 0.958 (0.786) |
| Constant | −3.736 (4.122) | −5.204 (4.799) | 0.905 (3.024) | −0.919 (4.655) |
| N | 806 | 818 | 818 | 818 |
p < .05.
p < .01.
p < .001.
The “meal” model has fewer observations than the other models because an outlier was removed from the analysis. With the inclusion of the outlier, the results largely hold, except May 2020 has a statistically significant increase in the percentage of tweets mentioning the keyword.
Figure 1School Nutrition Programs Keywords in Ohio School District Twitter Accounts, Before and During COVID‐19 Pandemic
Figure 2School Nutrition Program Keywords in Ohio School District Twitter Accounts (2020)