Predicting Factors of Intention to Quit Smoking among Employees in Public Health Centers, Bangkok Metropolitan Administration

Main Article Content

Suprawee Phoophong
Kerada Krainuwat
Piyatida Nakagasien

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.

Article Details

How to Cite
Phoophong, S. ., Krainuwat, K. ., & Nakagasien, P. . (2020). Predicting Factors of Intention to Quit Smoking among Employees in Public Health Centers, Bangkok Metropolitan Administration. Nursing Science Journal of Thailand, 38(3), 63–77. Retrieved from https://he02.tci-thaijo.org/index.php/ns/article/view/241750
Section
Research Papers

References

World Health Organization. WHO report on the global tobacco epidemic 2019: offer help to quit tobacco use. Geneva, Switzerland: WHO; 2019. 209 p.

National Statistical Office. The smoking and drinking behaviour survey 2017. Bangkok: National Statistical Office; 2018. 289 p. (in Thai).

Khani Y, Pourgholam-Amiji N, Afshar M, Otroshi O, Sharifi-Esfahani M, Sadeghi-Gandomani, et al. Tobacco smoking and cancer types: a review. Biomedical Research and Therapy. 2018;5(4):2142-59. doi: 10.15419/bmrat.v5i4.428.

Jassem J. Tobacco smoking after diagnosis of cancer: clinical aspects. Transl Lung Cancer Res. 2019;8(Suppl1):S50-8. doi: 10.21037/tlcr.2019.04.01.

Athamnech LN, Stein JS, Bickel WK. Will delay discounting predict intention to quit smoking? Exp Clin Psychopharmacol. 2017;25(4):273–80. doi: 10.1037/pha0000129.

Maksimovic L, Paquet C, Daniel M, Stewart H, Chong A, Lekkas P, et al. Characterising the smoking status and quit smoking behaviour of aboriginal health workers in South Australia. Int J Environ Res Public Health. 2013;10(12):7193-206. doi: 10.3390/ijerph10127193.

Ungcharoen R. Predicting cigarette smoking cessation intention among vacational education's student Bangkok: application of theory if planned behavior [master’s thesis]. Nakhon Pathom: Mahidol University; 2009. 252 p. (in Thai).

Layoun N, Hallit S, Waked M, AounBacha Z, Godin I, Leveque A, et al. Predictors of past quit attempts and duration of abstinence among cigarette smokers. J Epidemiol Glob Health. 2017;7(3):199-206. doi: 10.1016/j.jegh.2017.06.003.

Jiang N, Ling PM. Impact of alcohol use and bar attendance on smoking and quit attempts among young adult bar patrons. Am J Public Health. 2013;103(5):53-61. doi: 10.2105/AJPH.2012.301014.

Frost-Pineda K, Muhummad-Kah R, Rimmer L, Liang Q. Predictors, indicators, and validated measures of dependence in menthol smokers. J Addict Dis. 2014;33(2):94-113. doi: 10.1080/10550887.2014.909696.

Jiraniramai S, Jiraporncharoen W, Pinyopornpanish K, Jakkaew N, Wongpakaran T, Angkurawaranon C. Functional beliefs and risk minimizing beliefs among Thai healthcare workers in Maharaj Nakorn Chiang Mai hospital: its association with intention to quit tobacco and alcohol. Subst Abuse Treat Prev Policy. 2017;12(1):34. doi: 10.1186/s13011-017-0118-1.

Sarac S. The effect of smoking prohibition on smoking behavior at workplace. EC Pulmonol Respir Med. 2019;8(4):322-8.

Okeke PI, Ross A, Esterhuizen T, Van Wyk J. Tobacco and alcohol use among healthcare workers in three public hospitals in KwaZulu-Natal, South Africa. SAfri Fam Pract. 2012;54(1):61-7. doi: 10.1080/20786204.2012.10874177.

. Centers for Disease Control and Prevention (CDC), National Center for Health Statistic (NCHS), National Health Interview Survey (NHIS). Adult tobacco use information [Internet]. Atlanta, GA: Centers for Disease Control and Prevention; 2017 [cited 2020 ]. Available from: https://www.cdc.gov/nchs/nhis/tobacco.htm.

Watheesatokit K. 5A smoking cessation in daily work. Bangkok: Non-Smoking Campaign Foundation; 2009. 285 p. (in Thai).

Silapakit P, Kittirattanapaiboon P. Alcohol Use Disorders Identification Test: AUDIT. Bangkok: Trantawan Paper; 2009. 38 p. (in Thai).

Kaai SC, Fong GT, Goma F, Meng G, Ikamari L, Ong’ang’o JR, et al. Identifying factors associated with quit intentions among smokers from two nationally representative samples in Africa: findings from the ITC Kenya and Zambia surveys. Preventive Medicine Reports. 2019;15:100951. doi: 10.1016/j.pedr.2019/100951.

Driezen P, Abdullah AS, Quah ACK, Nargis N, Fong GT. Determinants of intentions to quit smoking among adult smokers in Bangladesh: findings from the International Tobacco Control (ITC) Bangladesh wave 2 survey. Glob Health Res Policy. 2016;1:11. doi: 10.1186/s41256-016-0012-9.

Rerkluenrit J, Passakulchai T, Tanomsup W, Phokod J, Khongmod J, Inkong R, et al. Selected factors predicting desired behavior related to smoking among students in Srinakharinwirot University, Ongkharak, Nakhonnayok Province. Thai Pharmaceutical and Health Science Journal. 2013;8(1):12-8. (in Thai).

Junyaem U, Yuttatri P. Prediction of undergraduate freshmen’s intentional abstinence of alcohol: application of the theory of planned behavior. Thai Journal of Nursing Council. 2016;31(2):28-40. (in Thai).

Ryan M, Romero D, Tolentino J, Hammett I, Robins D, Volden J, et al. Tobacco use among healthcare workers: impact of a worksite policy change at a US military community hospital. J Smok Cessat. 2015;12(2):113-21. doi: 10.1017/jsc.2015.13.

Droomers M, Huang X, Fu W, Yang Y, Li H, Zheng P. Educational disparities in the intention to quit smoking among male smokers in China: a cross-sectional survey on the explanations provided by the theory of planned behaviour. BMJ Open. 2016;6(10):e011058. doi: 10.1136/bmjopen-2016-011058.

Fernando HN, Wimaladasa ITP, Sathkoralage AN, Ariyadasa AN, Udeni C, Galgamuwa LS, et al. Socioeconomic factors associated with tobacco smoking among adult males in Sri Lanka. BMC Public Health. 2019;19(778). doi: 10.1186/s12889-019-7147-9.

Kaai SC, Chung-Hall J, Sun MC, Burhoo P, Moussa L, Yan M, et al. Predictors of quit intentions among adult smoker in Mauritius: finding from the ITC Mauritius survey. Tob Prev Cessat. 2016;2:72. doi: 10.18332/tpc/65770.

Beard E, West R, Michie S, Brown J. Association between smoking and alcohol-related behaviours: a time-series analysis of population trends in England. Addiction. 2017;112(10):1832-41. doi: 10.1111/add.13887.