Predicting Factors of Intention to Quit Smoking among Employees in Public Health Centers, Bangkok Metropolitan Administration
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Abstract
Purpose: To determine predicting factors of intention to quit smoking among employees of public health centers and communicable disease control services, Bangkok Metropolitan Administration.
Design: Correlational predictive design.
Methods: Participants were employees of public health centers and communicable disease control services, Bangkok Metropolitan Administration. Simple random sampling was performed to select 140 participants who met the inclusion criteria. Questionnaires were used for data collection including a scale of asking intention to quit smoking within the next one month, and multi-dimensional scales for measuring predictors of intention to quit smoking including attitudes toward smoking cessation, subjective norm, perceived behavioural control on quitting smoking, nicotine addiction level, and alcohol drinking behavior. Data were analyzed using descriptive statistics and logistic regression analysis.
Main findings: This research demonstrated that attitudes toward smoking cessation, subjective norm, perceived behavioural control on quitting smoking, nicotine addiction level, and alcohol drinking behaviour together could predict the intention to quit smoking by 45% (Nagelkerke R2 = .450). Attitudes towards smoking cessation and subjective norm could significantly predict the intention to quit smoking (OR = 1.021, p < .05, OR = 1.062, p < .001).
Conclusion and recommendations: Attitudes towards smoking cessation and subjective norm were the two of significant predicting factors of the intention to quit smoking. Health care providers especially nurse practitioners should use attitudes toward smoking cessation and subjective norm based on theory of planned behavior as a framework for development of effective smoking cessation program. Moreover, employers and families should be involved to help smokers increase their intention to quit smoking.
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