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Table 1 Demographics and influencing factors for low and high-risk alcohol consumption

From: Influences of club connectedness among young adults in Western Australian community-based sports clubs

 

Low-risk

N (%)

High-risk

N (%)

Total

N (%)

P value

Sport

   

p = .020*

 AFL

19 (16.4)

21 (38.2)

40 (23.4)

 

 Hockey

21 (18.1)

4 (7.3)

25 (14.6)

 

 Netball

22 (19)

9 (16.4)

31 (18.1)

 

 Soccer

13 (11.2)

4 (7.3)

17 (9.9)

 

 Ultimate Frisbee

12 (10.3)

2 (3.6)

14 (8.2)

 

 Other***

29 (25)

15 (27.3)

44 (25.7)

 

 Total

116

55

171

 

Gender

   

p = .001*

 Male

34 (29.3)

33 (60.0)

67 (39.2)

 

 Female

81 (69.8)

22 (40.0)

103 (60.2)

 

 Other

1 (0.9)

0

1 (.06)

 

 Total

116

55

171

 

Age

   

p = .966

 18–24 years

67 (57.8)

31 (57.4)

98 (57.6)

 

 25–30 years

49 (42.2)

23 (42.6)

72 (42.4)

 

 Total

116

54

170

 

Location

   

p = .329

 Metro

110 (94.8)

50 (90.9)

160 (93.6)

 

 Regional/rural

6 (5.2)

5 (9.1)

11 (6.4)

 

 Total

116

55

171

 

Student status

   

p = .014*

 Non-student

44 (37.9)

28 (50.9)

72 (42.1)

 

 University – full-time

59 (50.9)

21 (38.2)

80 (46.8)

 

 University – part-time

12 (10.3)

1 (1.8)

13 (7.6)

 

 TAFE – full-time

0 (0)

1 (1.8)

1 (0.6)

 

 TAFE – part-time

0 (0)

2 (3.6)

2 (1.2)

 

 Other

1 (0.9)

2 (3.6)

3 (1.8)

 

 Total

116

55

171

 

Length of club membership

   

p = .303

 Less than 1 year

26 (22.4)

6 (10.9)

32 (18.7)

 

 1–2 years

30 (25.9)

15 (27.3)

45 (26.3)

 

 3–5 years

28 (24.1)

14 (25.5)

42 (24.6)

 

 More than 5 years

32 (27.6)

20 (36.4)

52 (30.4)

 

 Total

116

55

171

 

Volunteer roles

   

p = .437

 Yes

58 (50.0)

31 (56.4)

89 (52.0)

 

 No

58 (50.0)

24 (43.6)

82 (48.0)

 

 Total

116

55

171

 

Alcohol-related sponsorship

   

p = .019*

 Yes

22 (19.5)

21 (38.9)

43 (25.7)

 

 No

68 (60.2)

22 (40.7)

90 (53.9)

 

 Unsure

23 (20.4)

11 (20.4)

34 (20.4)

 

 Total

113

54

167

 

Non-alcohol related sponsorship

   

p = .229

 Yes

60 (53.1)

36 (66.7)

96 (57.5)

 

 No

21 (18.6)

6 (11.1)

27 (16.2)

 

 Unsure

32 (28.3)

12 (22.2)

44 (26.3)

 

 Total

113

54

167

 

Experienced harm

M 1.9

M 4.0

M 2.6

p < .001**

SD 3.5

SD 3.7

SD 3.7

 

CI 1.3–2.6

CI 2.9–5.0

CI 2.1–3.2

 

Second-hand harm

M 1.5

M 1.39

M 1.5

p = .199

SD 3.5

SD 1.9

SD 3.1

 

CI 0.8–2.2

CI 0.8–1.9

CI 1.0–1.9

 

Witnessed harm

M 1.9

M 2.3

M 2.1

p = .403

SD 4.4

SD 3.8

SD 4.2

 

CI 1.2–2.8

CI 1.2–3.3

CI 1.4–2.7

 

Alcohol expectations

M 20.7

M 22.9

M 21.4

p = .005*

SD 4.6

SD 3.4

SD 4.4

 

CI 19.8–21.6

CI 21.9–23.8

CI 20.7–22.1

 

Club connectedness

M 21.4

M 21.8

M 21.5

p = .143

SD 3.1

SD 3.4

SD 3.1

 

CI 20.8–21.9

CI 20.9–22.8

CI 21.1–21.9

 

Team cohesion (GEQ)

M 117.7

M 124.0

M 118.6

p = .043*

SD 21.8

SD 24.8

SD 23.1

 

CI 113.5–121.9

CI 117.3–130.7

CI 115.3–121.9

 

Individual attractions to the Group-Social (ATG-S)

M 32.6

M 35.3

M 33.5

p = 0.034*

SD 7.4

SD 8.6

SD 7.9

 

CI 31.2–33.9

CI 32.9–37.7

CI 32.3–34.7

 

Individual attractions to the Group-Task (ATG-T)

M 29.4

M 29.8

M 29.6

p = 0.722

SD 5.32

SD 6.9

SD 5.9

 

CI 28.5–30.4

CI 27.7–31.6

CI 28.7–30.4

 

Group Integration Task (GI-T)

M 33.1

M 34.1

M 33.4

p = 0.416

SD 7.3

SD 7.0

SD 7.2

 

CI 31.7–34.4

CI 32.2–35.9

CI 32.3–34.5

 

Group Integration-Social (GI-S)

M 22.4

M 24.9

M 23.2

p = 0.14

SD 6.1

SD 6.4

SD 6.3

 

CI 21.2–23.5

CI 23.1–26.6

CI 22.2–24.11

 

Mental Wellbeing

M 52.7

M 53.1

M 52.3

p = .782

SD 8.5

SD 7.5

SD 8.7

 

CI 51.2–54.3

CI 50.9–55.1

CI 51.1–53.6

 
  1. *. p < 0.05 level
  2. **. p < 0.01 level
  3. ***Other = American football, basketball, bouldering, cheerleading, cricket, floorball, gymnastics, judo, polocrosse, Quidditch, rowing, Rugby League, Rugby Union, softball, street roller hockey, swimming, taekwondo, tennis, volleyball and water polo