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. 2018 Mar 23;4(1):e27. doi: 10.2196/publichealth.7998

Table 3.

Results of regression models.

Variables Model
Poisson Negative binomial Zero-inflated negative binomial Hurdle negative binomial
Coefficienta P value Coefficienta P value Coefficienta P value Coefficienta P value
Independent variables

Beverage –0.65 .01 –0.11 .29 0.66 .02 –0.23 .12

Coffee –0.85 <.001 –0.02 .73 0.14 .34 –0.15 .21

Sweet –0.11 .34 –0.19 .006 –0.60 <.001 –0.34 .001

Dessert & bakery –0.49 .003 –0.28 <.001 –0.70 <.001 –0.52 <.001

Fruits –0.29 <.001 –0.16 <.001 –0.13 .008 –0.24 <.001

Herbs & spices –0.07 .87 –0.57 <.001 –0.64 <.001 –0.60 <.001

Menthol & mint –0.35
–0.20 .003 –0.12 .21 –0.08 .46

Nutty 0.11 .71 0.15 .17 –0.27 .11 0.002 .99

Cream 0.09 .49 –0.13 .13 –0.79 <.001 –0.15 .27

Tobacco –1.22 <.001 –0.44 <.001 0.33 .14 –0.55 .001

Chocolate –0.09 .59 0.03 .82 –0.36 .11 0.09 .65
Control variables

Promotion 3.12 <.001 3.06 <.001 2.01 <.001 3.16 <.001

Posts (Coefficient x 10–4) 3.46 <.001 2.78 <.001 1.18 <.001 3.58 <.001

Average share (Coefficient x 10–2) .48 <.001 6.67 <.001 4.18 <.001 10.17 <.001

Topic 1 6.15 <.001 1.61 <.001 0.79 <.001 1.39 <.001

Topic 2 7.75 <.001 1.11 <.001 1.42 <.001 1.17 <.001

URL mention 0.09 .12 0.25 <.001 0.27 <.001 0.19 <.001

Hashtag –0.39 <.001 –0.05 .25 0.01 .75 –0.02 .72
Intercept –3.73 <.001 –0.97 <.001 –0.53 <.001 –18.79 <.001
Model zero No
No
Yes
Yes
Model dispersion No
Yes
Yes
Yes
AIC/nb 33.74
3.20
3.24
3.14

aEstimate of coefficient for each variable in the model.

bAIC: Akaike information criterion. The hurdle negative binomial regression model had the best performance as indicated by the lowest AIC/n (AIC value divided by number of observation).