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Table 2 Descriptive data on variables included in the multivariate analyses

From: The association between exposure to social media alcohol marketing and youth alcohol use behaviors in India and Australia

 

India

n (%)

 

Australia

n (%)

 
 

Males

13–17 years

Males

18–25 years

Females

13–17 years

Females18–25 years

Total

Males

13–17 years

Males

18–25 years

Females13–17 years

Females

18–25 years

Total

Trends (increased) in alcohol advertising

 Facebook

40 (57)

93 (66)

15 (52)

54 (60)

202 (63) †††

28 (62) ***

24 (34) ***

12 (41) **

39 (25) **

103 (37) †††

 YouTube

34 (49) *

96 (68) *

15 (52)

58 (64)

203 (66) †††

28 (62) **

28 (40) **, b

12 (41) *

28 (18) *, b

96 (35) †††

 Twitter

16 (23) ***

70 (50) ***

5 (17) **

35 (39) **

126 (42) †††

11 (24) *

9 (13) *

4 (14)

8 (5)

32 (12) †††

Alcohol brand logos on merchandise (very often or often)

67 (96)

130 (92)

26 (90)

74 (82)

297 (92) †††

27 (60)

35 (50)

15 (52)

85 (54)

162 (57) †††

Alcohol events attended (Yes)

27 (39)

46 (37)

11 (38)

29 (32)

113 (36) †††

20 (44)

35 (50)

8 (27) *

80 (51) *

143 (51) †††

Suggestions on SNS (less than once a week or weekly)

 Facebook

49 (70)

106 (75) b

18 (62)

49 (54) b

222 (69) †††

25 (55)

31 (44)

14 (48)

67 (43)

137 (49) †††

 YouTube

33 (45) **

90 (71) **

17 (59)

52 (58)

202 (66) †††

23 (51)

25 (36)

12 (41)

47 (30)

107 (39) †††

 Twitter

25 (36) ***

88 (62) ***

15 (52)

41 (45)

169 (55) †††

8 (18)

10 (14)

6 (20)

17 (11)

41 (15) †††

Sharing own alcohol-related content on SNS (very often or often)

 Facebook

46 (66)

90 (64) a

18 (62)

44 (49) a

198 (65) †††

3 (7)

7 (10)

2 (7)

17 (11)

29 (11) †††

 YouTube

33 (47)

87 (62)

15 (52)

44 (49)

179 (65) †††

1 (2)

4 (6)

1 (3)

6 (4)

12 (8) †††

 Twitter

38 (54)

84 (60)

16 (55)

45 (50)

183 (82) †††

0 (0)

3 (4)

0 (0)

1 (1)

4 (6) †††

Friends sharing alcohol-related content on SNS (very often or often)

 Facebook

55 (78)

97 (69)

19 (66)

53 (59)

224 (72) †††

15 (33)

31 (44)

7 (24)

81 (51)

134 (51) †††

 YouTube

38 (53)

87 (62)

15 (52)

39 (43)

179 (60) †††

12 (27)

9 (13)

6 (21)

11 (7)

15 (38) †††

 Twitter

36 (51)

81 (57)

15 (52)

42 (46)

174 (58) †††

1 (2)

4 (6)

0 (0)

9 (6)

14 (5) †††

Noticing alcohol-related content on SNS (very often or often

 Facebook

56 (80)

114 (74)

22 (76)

59 (66)

241 (75) †††

13 (29)

26 (37)

8 (28)

64 (41)

111 (40) †††

 YouTube

43 (61)

91 (65)

19 (66)

56 (62)

209 (68) †††

12 (27

29 (42)

8 (62)

44 (28)

93 (33) †††

 Twitter

31 (34) *

86 (61) *

15 (52)

49 (54)

181 (59) †††

0 (0)

5 (7)

2 (7)

6 (4)

13 (6) †††

  1. Between country comparison††† Fisher’s exact p ≤ .001:
  2. Fisher’s exact (2 sided) between age group (within country and gender) significant difference: * p < 0.05; ** < 0.01; *** < 0.001
  3. Fisher’s exact (2 sided) between gender (within country and age group) significant difference: a p < 0.05; b < 0.01; c < 0.001