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- Title
Smoking among Police Officers in North-Eastern Malaysia and Its Associated Factors, Knowledge and Attitude.
- Authors
Amirul-Hisham, Zainol; Norsa'adah, Bachok
- Abstract
Background: Police is one of the occupations that have the highest smoking prevalence rate. This study was designed to determine the smoking prevalence in policemen, and determine level of knowledge, attitude and practice on smoking and its associated factors. Design: Cross sectional study. Materials and Methods: The study used self administered questionnaire to obtain data from respondents. There were 27 questions on knowledge, 12 questions on attitude and 23 questions on practice. Multiple binary logistic regressions were used for data analysis. Results: A total of 440 police officers (355 men and 85 women) from Kelantan Police Contingent Headquarters was recruited. The smoking prevalence among police officers was 40.2% with 47% in policemen and 10.2% in policewomen. The mean knowledge score for smoker, ex smoker and non smoker were -10.4 (standard deviation (sd) 5.79), -11.1 (sd 3.78) and -10.43 (sd 5.99), respectively. The mean attitude score for smoker, ex-smoker and non-smoker were 35.4 (sd 5.24), 36.5 (sd 5.41) and 41.7 (sd 6.49). Smoking was significantly associated with age (Adjusted Odds Ratio (AOR): 0.96; 95% Confidence Interval (CI): 0.94, 0.98), sex (AOR: 6.28; 95% CI: 2.76, 14.30) and attitude on smoking (AOR: 6.88; 95% CI: 4.05, 11.70). Conclusions: The prevalence of smoking was high among police officers in North-eastern Malaysia. Quit smoking program should focus more on male and younger age police officers in order to reduce the smoking prevalence. Aggressive health campaign should focus on changing the attitude of the police officers against smoking.
- Subjects
MALAYSIA; POLICE; ATTITUDE testing; CONFIDENCE intervals; GOODNESS-of-fit tests; QUESTIONNAIRES; SCALE analysis (Psychology); SMOKING; SMOKING cessation; CROSS-sectional method; RECEIVER operating characteristic curves; HEALTH literacy; DATA analysis software; DESCRIPTIVE statistics; ODDS ratio
- Publication
International Medical Journal, 2016, Vol 23, Issue 6, p653
- ISSN
1341-2051
- Publication type
Article