One-Year Longitudinal Study of a No-Smoking Policy in a Medical Institution: Results (Part 1)

In: No-Smoking Policy

19 Oct 2012

One-Year Longitudinal Study of a No-Smoking Policy in a Medical Institution: Results (Part 1)In all, three surveys were obtained: the initial survey, six months before policy implementation; the second, six months after policy implementation; and the third, after the policy had been in effect for one year. In the prepolicy baseline study, of 4,200 distributed employee questionnaires, 1,946 (46 percent) were returned. In the second survey, 1,608 (38 percent) questionnaires were returned, but for the third study, one year after policy implementation, only 684 (16 percent) questionnaires were completed, perhaps possibly indicating general acceptance of the program. This latter lower response rate of the most recent survey was expected as a function of the policy being less controversial with employees feeling that they had voiced their opinion on two previous occasions. buy asthma inhalers
Demography
There was a significant reduction in the smoking habits of our employees one year after implementation of the no-smolang policy. Thus, six months before and after the policy was instituted, 22 and 20 percent, respectively, of our employees indicated that they smoked, but after one year this was reduced by 30 percent to 14 percent for all employees (x2 = 11.53; p<0.003). These data, however, failed to show an impact by gender of the employee (Table 1). Most nonsmokers were under the age of 35 years (52 percent), and almost two thirds of smokers (63 percent) were 35 years and older; but of these, more older individuals stopped smoking. These data further indicated that women were more likely than men to be smokers (79 percent of smokers were women).

Table I—Demographic Profile of Employees* Smoking Status One Year After Policy 

N*

Smoker,

%

Nonsmoker,

%

Exsmoker,

%

Total,

%

Statistics

X2

df

P

Age, yr

34.46

4

0.0000

<35

300

37

52

25

44

35 to 44

202

30

26

39

29

2>45

182

33

22

36

27

Gender

3.490

2

0.1746

Male

199

21

31

30

29

Female

485

79

69

70

71

Position

11.91

2

0.0026

Employee

562

85

85

73

82

Physician

122

15

15

27

18

*N = 684.


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