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

Table 4.

Results of the hurdle negative binomial regression models.

Variables Model 1a (n=384,792b) Model 2c (n=384,792b) Model 3d (n=384,792b) Without promotion (n=370,670b) With promotion (n=14,122b)
Coefficient P value Coefficient P value Coefficient P value Coefficient P value Coefficient P value
Independent variables

Beverage 0.05 .94 0.64 .36 –0.23 .12 –0.20 .18 –1.38 <.001

Coffee –1.69 <.001 –0.69 .003 –0.15 .21 –0.10 .40 –1.53 <.001

Sweet 0.11 .496 –0.31 .06 –0.34 .001 –0.35 .002 –0.04 .81

Dessert & bakery –0.46 .09 –0.64 .04 –0.52 <.001 –0.57 <.001 –0.08 .78

Fruits –0.31 .004 –0.67 <.001 –0.24 <.001 –0.25 <.001 –0.07 .48

Herbs & spices 0.20 .70 –1.19 <.001 –0.60 <.001 –0.61 <.001 0.14 .69

Menthol & mint –0.24 .34 –0.01 .97 –0.08 .46 –0.06 .58 –0.24 .55

Nutty –0.06 .86 0.01 .97 0.002 .99 –0.04 .79 0.65 .08

Cream 0.16 .38 –0.39 .02 –0.15 .27 –0.19 .18 0.52 .007

Tobacco –1.65 <.001 –0.94 .06 –0.55 .001 –0.54 .001 –0.66 .10

Chocolate –0.14 .63 0.28 .57 0.09 .65 0.10 .62 0.13 .59
Control variables

Promotion

3.42 <.001 3.16 <.001




Posts (Coefficient x 10–4)
e 3.58 <.001 3.59 <.001 2.10 <.001

Average share (Coefficient x 10–2)
10.17 <.001 .11 <.001 3.20 <.001

Topic 1

1.39 <.001 1.19 <.001 3.54 <.001

Topic 2

1.17 <.001 0.73 .008 10.26 <.001

URL mention

0.19 <.001 0.20 <.001 0.01 .89

Hashtag

–0.02 .72 0.005 .94 –0.12 .24
Intercept –18.18 <.001 –16.96 <.001 –18.79 <.001 –15.38 <.001 –2.42 <.001

aEstimates of a specification of the initial model with only flavors as the independent variables.

bNumber of observations is defined by n.

cEstimates of flavors’ influence on information propagation modified by adding promotion only.

dEstimates of flavors’ influence on information propagation modified by additional control variables.

eVariable not used in the second "All data" model.