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Table 2 Reasons to quit among former smokers by gender and selected characteristics – Global Adult Tobacco Survey Poland 2009–2010

From: Predictors of long-term smoking cessation: results from the global adult tobacco survey in Poland (2009–2010)

Characteristic

Male N = 795

Female N = 387

cigarettes became too expensive N = 100

realized smoking is harmful N = 533

someone decided to quit N = 32

less public places N = 1

Other N = 129

cigarettes became too expensive N = 40

realized smoking is harmful N = 200

someone decided to quit N = 25

less public places N = 1

Other N = 121

n (%)

n (%)

n (%)

n (%)

n (%)

n (%)

n (%)

n (%)

n (%)

n (%)

Age (years)

 <25

3 (23.1)

8 (61.5)

0 (0.0)

0 (0.0)

2 (15.4)

3 (27.3)

4 (36.4)

0 (0.0)

0 (0.0)

4 (36.4)

 25–29

6 (19.4)

17 (54.8)

0 (0.0)

0 (0.0)

8 (25.8)

4 (12.9)

14 (45.2)

1 (3.2)

0 (0.0)

12 (38.7)

 30–39

13 (14.3)

59 (64.8)

5 (5.5)

0 (0.0)

14 (15.4)

3 (4.2)

40 (55.6)

3 (4.2)

0 (0.0)

26 (36.1)

 40–49

22 (16.5)

91 (68.4)

2 (1.5)

0 (0.0)

18 (13.5)

5 (8.1)

33 (53.2)

9 (14.5)

1 (1.6)

14 (22.6)

 50–59

21 (12.7)

109 (66.1)

9 (5.5)

0 (0.0)

26 (15.8)

13 (13.4)

45 (46.4)

5 (5.2)

0 (0.0)

34 (35.1)

 ≥60

35 (9.7)a

249 (68.8)

16 (4.4)

1 (0.3)

61 (16.9)

12 (10.5)

64 (56.1)

7 (6.1)

0 (0.0)

31 (27.2)

Education

 primary

24 (12.2)

132 (67.3)

11 (5.6)

0 (0.0)

29 (14.8)

6 (11.3)

29 (54.7)

2 (3.8)

0 (0.0)

16 (30.2)

 vocational

39 (14.9)

180 (68.7)

10 (3.8)

0 (0.0)

33 (12.6)

15 (15.6)

50 (52.1)

5 (5.2)

0 (0.0)

26 (27.1)

 secondary

33 (13.1)

168 (66.9)

5 (2.0)c

0 (0.0)

45 (17.9)

16 (9.9)

77 (47.8)

12 (7.5)

0 (0.0)

56 (34.8)

 high

4 (4.7) b

53 (61.6)

6 (7.0)d

1 (1.2)

22 (25.6) e,f

3 (3.9)g

44 (57.1)

6 (7.8)

1 (1.3)

23 (29.9)

Occupational classification

 non- economically active

42 (9.8)

199 (46.5)

134 (31.3)

0 (0.0)

53 (12.4)

14 (9.8)

76 (53.1)

12 (8.4)

1 (0.7)

40 (28.0)

 employed

49 (14.2)

226 (65.3)j

14 (4.0)l

0 (0.0)

57 (16.5)

17 (11.1)

80 (52.3)

12 (7.8)

1 (0.7)

43 (28.1)

 unemployed

8 (29.6) h,i

10 (37.0)k

0 (0.0)m

0 (0.0)

9 (33.3) n,o

2 (9.5)

10 (47.6)

1 (4.8)

0 (0.0)

8 (38.1)

Place of residence

 rural

60 (13.5)

300 (67.4)

20 (4.5)

0 (0.0)

65 (14.6)

21 (12.8)

85 (51.8)

10 (6.1)

0 (0.0)

48 (29.3)

urban

 up to 50 000

18 (12.2)

99 (67.3)

4 (2.7)

1 (0.7)

25 (17.0)

8 (9.6)

35 (42.2)

6 (7.2)

1 (1.2)

33 (39.8)

 50 000– 200 000

10 (12.5)

49 (61.3)

4 (5.0)

0 (0.0)

17 (21.3)p

7 (11.7)

32 (53.3)

2 (3.3)

0 (0.0)

19 (31.7)

 over 200 000

12 (9.8)

85 (69.1)

4 (3.3)

0 (0.0)

22 (17.9)

4 (5.0)

48 (60.0)r

7 (8.8)

0 (0.0)

21 (26.3)

  1. a p < 0,04 age ≥60 vs age 40–49; b p < 0,03 high education vs vocational; c p < 0,05 secondary education vs primary; d p < 0,03 high education vs secondary; e p < 0,04 high education vs primary.
  2. f p < 0,005 high education vs vocational; g p < 0,03 high education vs vocational; h p < 0,04 unemployed currently with no permanent job vs employed; i p < 0,02 unemployed currently with no permanent job vs non-economically active; j p < 0,001 employed vs non-economically active; k p < 0,004 unemployed currently with no permanent job vs employed; l p < 0,001 employed vs non-economically active m p < 0,001 unemployed currently with no permanent job vs non-economically active; n p < 0,003 unemployed currently with no permanent job vs non-economically active.
  3. o p < 0,03 unemployed currently with no permanent job vs employed; p p < 0,04 place of residence urban 50thous.-200 thous vs rural; r p < 0,03 place of residence urban over 200 thous vs urban up to 50 thous.
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