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Table 5 Associations between specific barriers to smoking cessation and covariates among respondents who indicated a preference for lifestyle changes

From: Barriers to lifestyle changes for prevention of cardiovascular disease – a survey among 40–60-year old Danes

  

Total sample of smokers

N

Have tried before

n (%)

Partner still smokes

n (%)

Total

 

216

105 (48.6)

29 (13.4)

Gender

Male

115

56 (48.7) p = 0.992

13 (11.3) p = 0.318

Female

101

49 (48.5)

16 (15.8)

Age group

40–44

47

28 (59.6) p = 0.051

5 (10.6) p = 0.360

45–49

53

26 (49.1)

7 (13.2)

50–54

53

26 (49.1)

6 (11.3)

55–60

63

25 (39.7)

11 (17.5)

Health status

Good/very good

115

60 (52.2) p = 0.560*

11 (9.6) p = 0.183*

Fair

83

34 (41.0)

16 (19.3)

Poor/very poor

18

11 (61.1)

2 (11.1)

BMI

<25

89

42 (47.2) p = 0.949

13 (14.6) p = 0.744*

25–29

72

38 (52.1)

9 (12.3)

+30

45

20 (44.4)

6 (13.3)

Physical activity

Low

84

41 (48.8) p = 0.835

12 (14.3) p = 0.839

High

132

64 (48.5)

17 (12.9)

Household income

Low

82

37 (45.1) p = 0.892*

12 (14.6) p = 0.904*

Medium

66

34 (51.5)

8 (12.1)

High

44

20 (45.5)

7 (15.9)

Educational attainment

Low

65

38 (58.5) p = 0.154*

9 (13.8) p = 0.623*

Medium

130

58 (44.6)

18 (13.8)

High

20

9 (45.0)

2 (10.0)

In work force

No

35

17 (48.6) p = 0.732

2 (5.7) p = 0.105

Yes

181

88 (48.6)

27 (14.9)

  1. All p-values are from multiple logistic regression analyses adjusted for gender and age
  2. *- p-value for trend
  3. aNumbers (n) and percentages (%) correspond to the number of patients and proportions (in percent) of patients in the row-category who experienced the given barrier. Note that not all participants experienced a barrier within the theme, and that participants were allowed to select more than one barrier within the theme