Table 5.
Comparison of the mean number of replies per tweet between groups.
Theme | Dietitian group | Public group | P value | ||||
|
Number of tweets | Number of replies per tweet, mean (SD) | Number of tweets | Number of replies per tweet, mean (SD) |
|
||
Weight loss | 24 | 0 (0) | 106 | 0.75 (5.073) | .02 | ||
Cooking and recipes | 215 | 0 (0) | 214 | 0.32 (0.99) | <.001 | ||
Immune health | 177 | 0 (0) | 87 | 0.023 (0.15) | .04 | ||
Food support and food system | 206 | 0 (0) | 59 | 0.068 (0.31) | .001 | ||
Specific foods | 178 | 0 (0) | 487 | 0.44 (1.15) | <.001 | ||
Alcohol consumption | 19 | 0 (0) | 86 | 0.52 (1.49) | .01 | ||
Nutrients and supplements | 80 | 0 (0) | 81 | 0.21 (1.03) | .003 | ||
Food overconsumption | 18 | 0 (0) | 65 | 0.74 (1.57) | .01 | ||
Food tips and recommendations | 253 | 0 (0) | 108 | 0.13 (0.91) | .002 | ||
Food changes | 173 | 0 (0) | 149 | 0.66 (1.43) | <.001 | ||
Body appearance | 86 | 0 (0) | 67 | 1.06 (6.37) | <.001 | ||
Diets and dietary patterns | 26 | 0 (0) | 507 | 0.55 (2.57) | .005 | ||
Other lifestyle habits | 259 | 0 (0) | 453 | 0.080 (0.34) | <.001 | ||
Grocery | 271 | 0 (0) | 68 | 0.13 (0.39) | <.001 | ||
Health care system | 209 | 0 (0) | 23 | 0.044 (0.21) | .003 |