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. 2021 Jul 16;1(1):e26876. doi: 10.2196/26876

Table 2.

Actual anxiety expressed in tweets, as predicted by article anxiety and COVID-19 death toll: gamma regression model with categorical deatha.

Variable Coefficient (95% CI) P value
Intercept 3.45 (2.77-4.28) <.001
Anxiety in article 1.25 (0.99-1.59) .07
Second quartile (22,253-133,665 deaths) 1.53 (1.1-2.15) .01
Third quartile (133,666-193,321 deaths) 1.47 (0.97-2.22) .17
Fourth quartile (≥193,322 deaths) 1.21 (0.83-1.75) .32
Interaction anxiety in article by second quartile deaths (22,253-133,665 deaths) 0.78 (0.56-1.08) .14
Interaction anxiety in article by third quartile deaths (133,666-193,321 deaths) 0.61 (0.37-1.01) .06
Interaction anxiety in article by fourth quartile deaths (≥193,322 deaths) 0.78 (0.5-1.22) .28

aDeaths were categorized based on the second, third, and fourth quartiles relative to the first quartile. This table reports the actual estimated anxiety in the tweet, looking only at all of the values in a continuous distribution, excluding those with zero anxiety.