• 제목/요약/키워드: determinants of cigarette smoking

검색결과 13건 처리시간 0.023초

Age of initiation, Determinants and Prevalence of Cigarette Smoking among Teenagers in Mushin Local Government Area of Lagos State, Nigeria

  • Abiola, AO;Balogun, OS;Odukoya, OO;Olatona, FA;Odugbemi, TO;Moronkola, RK;Solanke, AA;Akintunde, OJ;Fatoba, OO
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권3호
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    • pp.1209-1214
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    • 2016
  • Background: Cigarette smoking constitutes a major threat to the health and wellbeing of teenagers. While smoking has been on decline in the developed countries, the reverse is the case in developing countries. The aim of this study was to determine the age of initiation, determinants and prevalence of cigarette smoking among teenagers in Mushin Local Government Area of Lagos state, Nigeria. Materials and Methods: This was a descriptive cross-sectional study among 475 teenagers selected by multistage sampling. A pre-tested, structured, interviewer-administered questionnaire was used for data collection. The study was carried out in November, 2014. Results: Response rate was 84.6%. Mean age of the respondents was $16.4{\pm}1.65years$. Range and mean age of initiation of cigarette smoking were 7 to 17 years and $12.0{\pm}3.32years$ respectively. Teenagers who were above 15 years (OR:5.13, 95%CI: 0.87-30.26), males (OR:5.19, 95%CI: 1.57-17.18), married (OR:8.41, 95%CI: 1.04-63.35), had ${\leq}$primary school education(OR:4.31, 95%CI: 1.07-17.33), influenced by friends(OR:308.84, 95%CI:84.87-1123.81), and influenced by advertisements (OR:27.83, 95%CI: 3.92-197.64) were more likely to have initiated cigarette smoking. Furthermore, teenagers who were males (OR:12.77, 95%CI: 2.90-56.28), married (OR:19.24, 95%CI: 2.05-180.45), had ${\leq}$primary school education(OR:7.85, 95%CI: 2.37-26.01), influenced by friends(OR:28.56, 95%CI: 10.86-75.07), and influenced by advertisements (OR:5.95, 95%CI: 1.72-20.61) were more likely to be current cigarette smokers. In addition, 24.9% had initiated cigarette smoking while 14.7% were current smokers of cigarette. Conclusions: Mean age of initiation of cigarette smoking was $12.0{\pm}3.32years$. Determinants of cigarette smoking were age, gender, marital status, educational background, friends and advertisements. Life time prevalence of cigarette smoking was higher than prevalence of current cigarette smokers. Cigarette smoking reduction programs should take these factors into consideration.

특성화 고등학교 흡연 청소년의 담뱃갑 경고그림 위협인식, 심리적 저항이 금연의도에 미치는 영향 (The influence of threat perception and psychological reactance to cigarette warning labels on intention to quit smoking among smoking adolescents -with focus on industrial specialized high school students)

  • 박수현;박지영
    • 한국보건간호학회지
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    • 제35권2호
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    • pp.283-296
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    • 2021
  • Purpose: The aim of this study was to investigate the influence of threat perception and psychological reactance to graphic health warnings on cigarette packages on intention to quit smoking among smoking adolescents. Methods: The participants were 185 smoking adolescents attending two industrial specialized high schools, who had witnessed graphic health warnings on cigarette packages within the previous 30 days. Collected data were analyzed using descriptive statistics, the t-test, one-way analysis of variance, Pearson's correlation coefficients, and hierarchical multiple regression analysis using SPSS/WIN Ver. 25.0. Results: The results showed that participant threat perception (𝛽=.14, p=.037) after witnessing a cigarette warning message had a positive influence on intention to quit smoking. On the other hand, psychological reactance (𝛽=-.23, p=.001) showed a negative influence on intention to quit smoking. Conclusion: When designing and developing a message for smoking adolescents, customized messages are required to reflect teenagers' characteristics and raise threat perception and lower psychological reactance. In addition, we propose a future study be conducted to determine the influences of various psychological determinants, including self-efficacy and skills, on threat perception and psychological reactance to graphic health warnings on cigarette packages among smoking adolescents.

The Korean Prediction Model for Adolescents’ Future Smoking Intentions

  • Lee, Sung-Kyu;Yun, Ji-Eun;Lee, Ja-Kyoung;Kim, Il- Soon;Jee, Sun-Ha
    • Journal of Preventive Medicine and Public Health
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    • 제43권4호
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    • pp.283-291
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    • 2010
  • Objectives: The purpose of this study was to develop a prediction model for future smoking intention among Korean adolescents aged 13 to 15 in order to identify the high risk group exposed to future smoking. Methods: The data was collected from a total of 5940 students who participated in a self-administrated questionnaire of a cross-sectional school-based survey, the 2004 Korea Global Youth Tobacco Survey. Chi-square tests and logistic regression analyses were carried out to identify the relevant determinants associated with intentions of adolescents’ future smoking. Receiver Operation Characteristic (ROC) assessment was applied to evaluate the explanation level of the developed prediction model. Results: 8.4% of male and 7.2% of female participants show their intentions of future smoking. Among non-smoking adolescents; who have past smoking experience [odds ratio (OR) 2.73; 95% confidence interval (CI) 1.92- 3.88]; who have intentions of smoking when close friends offer a cigarette (OR 31.47; 95% CI = 21.50 - 46.05); and who have friends that are mostly smokers (OR 5.27; 95% CI = 2.85 - 9.74) are more likely to be smokers in the future. The prediction model developed from this study consists of five determinants; past smoking experience; parents smoking status; friends smoking status; ownership of a product with a cigarette brand logo; and intentions of smoking from close friends’ cigarette offer. The area under the ROC curve was 0.8744 (95% CI=0.85 - 0.90) for current non-smokers. Conclusions: For efficiency, school-based smoking prevention programs need to be designed to target the high risk group exposed to future smoking through the prediction model developed by the study, instead of implementing the programs for all the students.

Exploring Factors Influencing Smoking Behaviour in Malaysia

  • Cheah, Yong Kang;Naidu, Balkish Mahadir
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권4호
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    • pp.1125-1130
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    • 2012
  • Objective: The objective of present study is to investigate the determinants of smoking behaviour among adults in Malaysia. Method: Findings of the Third National Health and Morbidity Survey (NHMS-3) by the Ministry of Health, Malaysia, were used. The sample consisted of 34,539 observations. A logistic regression model was thus applied to estimate the probability to participate in smoking. Results: Age, income, gender, marital status, ethnicity, employment status, residential area, education, lifestyle and health status were statistically significant in affecting the likelihood of smoking. Specifically, youngsters, low income earners, males, unmarried individuals, Malays, employed individuals, rural residents and primary educated individuals were more likely to smoke. Conclusion: In conclusion, socio-demographic, lifestyle and health factors have significant impacts on smoking participation in Malaysia. Based on these empirical findings, several policy implications are suggested.

서울 시내 일부 중년층 남성의 금연 결정요인에 관한 연구 (A Study on the Determinants of Stop Smoking by Some Middle-aged Men in Seoul)

  • 김은지;김명
    • 보건교육건강증진학회지
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    • 제8권1호
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    • pp.45-58
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    • 1991
  • The purpose of this study was to investigate determinants of stop smoking. The data on which the analysis was based come from a survey of 355 middle-aged men in Seoul. The data was analyzed using proportion, x²-test, Pearson's Correlation Coefficient and Stepwise Multiple Regression. The following were the results; 1. Success rate of stop smoking is 19.9% of 229 persons who attempted to quit smoking. 2. As for the number of quit attempts, 33.3% of ex-smokers tried once; 25.4% of current smokers tried twice. 3. As for methods of quit attempts ex-smokers showed higher tendency in using will power and books/guides than current smokers who in using will power alone. 4. For the attitudes on smoking of family, the majority of ex-smokers and current smokers were opposed absolutely. 5. The main opposite to smoking were wives in cases of both ex-smokers and current smokers, but More ex-smokers answered that the main opposite to smoking were others than current smokers. 6. As for the measures of smoking in the office, more ex-smokers answered inviting than current smokers and more current smokers assigned a smoking spot than ex-smokers. 7. Majority of ex-smokers approve of restriction at public spot strongly. 8. As for the attitude about caution on a cigarette case, more ex-smokers insisted than current smokers. 9. There was a relation between the degree of exposure about knowledge and the degree of knowledge. 10. Stepwise Multiple Regression portray that following factors influence stop smoking in order named. (1) attitude on the smoking restriction at public spot, (2) methods of quit attempt, (3) attitude about caution on cigarette case. Even so, it turned out that these factors alone can explain only 20% of self-examination. Therefore study for the other factors ought to be continued. I submit following suggestions ending this study. 1. Continuous study of the other factors affecting stop smoking must be carried on. 2. Since there was a relation the degree of exposure about knowledge and the degree of knowledge, efficient health education is required using campaign and mass media.

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Effects of Smoking on Cost of Hospitalization and Length of Stay among Patients with Lung Cancer in Iran: a Hospital-Based Study

  • Sari, Ali Akbari;Rezaei, Satar;Arab, Mohammad;Majdzadeh, Reza;Matin, Behzad Karami;Zandian, Hamed
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권9호
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    • pp.4421-4426
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    • 2016
  • Background: Smoking is recognized as a main leading preventable cause of mortality and morbidity worldwide. It is responsible for a considerable financial burden both on the health system and in society. This study aimed to examine the effect of smoking on cost of hospitalization and length of stay (LoS) among patients with lung cancer in Iran in 2014. Materials and Methods: A total of 415 patients were included in the study. Data on age, sex, insurance status, type of hospitals, type of insurance, geographic local, length of stay and cost of hospitalization was extracted by medical records and smoking status was obtained from a telephone survey. To compare cost of hospitalization and LoS for different smoking groups, current smokers, former smokers, and never smokers, a gamma regression model and zero-truncated poisson regression were used, respectively. Results: Compared with never smokers, current and former smokers showed a 48% and 35% increase in hospitalization costs, respectively. Also, hospital LoS for current and former smokers was 72% and 31% higher than for never smokers, respectively. Conclusions: Our study indicated that cigarette smoking imposes a significant financial burden on hospitals in Iran. It is, however, recommended that more research should be done to implement and evaluate hospital based smoking cessation interventions to better increase cessation rates in these settings.

농촌주민의 흡연 및 음주 실태와 이에 영향을 미치는 요인분석 (An Analysis of Determinants of Smoking and Drinking of Community people in Rural area)

  • 남철현
    • 보건교육건강증진학회지
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    • 제6권1호
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    • pp.48-59
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    • 1989
  • The study was designed. to analyse the factors effecting to smoking and drinking of community people in rural area. The study has been surveyed through interviews by trained college students for 1,846 residents who live in rural area(Eup or Myun office is located)for 20days(from 3rd. to 22M. in August, 1988) The summary and conclusions are as follows. 1. The number of answers on the questionaires was 1846. And the percent of man was 55.7 %(woman 44.3 %). Among age group 20-29 years group with 30.4 % was larger than any other group. Anaverage age of answers was 38.6 years. 2.In the period of residence, 21.5 % of the residents lived within 5 years(This group was larger than any other group). In occupations, workers in agriculture and fishing was more than other job occupants. In education, the percent of high school graduates was 44.0 %(higher than any other group) 3.The smoking rate of rural residents was 41.8 %and man's smoking rate was 76.0 % (woman's smoking rate was 7.6 %). These rates were higher than the rates in 1985 (The smoking rate of nation was 32.0 %). First of all, woman's smoking rate increased rapidly 4.As for smoking amount, in male 52.8% of smokers smoked a cigarette case (20 cigarettes) in a day, and 16.9 % of smokers smoked more than one cigarette case. In female 42.5 % of woman smokers smoked a half case in a day and the rate of non-smokers diminished to 77.8 % 5.The rate of non-smokers in 21-29 years group was higher than any other group and a smoking rate increased as an age increased. However, a smoking amount decreased as an age increased. This suggests that people are more concerning about their health as their ages increase.. 6.The smoking rate of college graduates was 58.8 %(higher than any other group) and in a smoking amount 36.4 % of college graduates, 29.8 % of high school graduates smoked more than a cigarette case in a day. This shows that people in a higher education group smoke more than those in other groups. 7.As for non-smoking rate, students, service job workers, company employees, and teachers was 54.1%, 43.4%. 40.1% and 39.5%. respectively. As for smoking rate, workers in agriculture and fishing was the highest level of all job employees. Public officers smoked less than the workers in agriculture and the smoking rate of teachers was less than that of public officers. with regard to smoking amount. above one cigarette case in a day was 39.9 % in public officers, 39.2 % workers in agriculture and fishing, 37.9 % in businessmen, 34.2 % in teachers, 31.9 % in service job employees and 31.6 % in a company employees. 8.The variables which had an effect on smoking were sex (B=.1701), job(B=.1688), education(B=.1671), age(B=.1125). These variables were significant in P<0.05 statistically. Explanatory variance level was 19% 9.The drinking rate of community residents was 61.8% and man's drinking rate was 81.7%(woman's drinking rate was 38.9%). As drinking rate 18.0%(the highest rate) of man drinkers drank 3 bottles of beer in a general drinking and 12.1% of them drank more than 10 bottles. 12.1% (the highest rate)of woman drinkers drank 2 cups of beer. The rising rate of woman's drinking of alcohol was remarkable. 10.Each non-drinking rate of age groups was 27.6% (in 20-30 years group), 28.0% (in 30-39 years group), 28.9%(in 40-49 years group) and 32,6%(in 50-59 years group), 10,7%(the highest rate) of 20-29 and 30-39 years groups drank above 3 bottles. 7.5% of 20-29 years group and 7.7% of 30-39 years group drank above 10 bottles. In 40-49 years group, 14.4 % of them drank a bottle and 8.1% of them drank above 10 bottles. In 50-59years group, 14,2% of them drank 2 bottles and 5.3 % of them drank above 10 bottles. This shows that a drinking rate decresed as an age increased. 11.Non-drinking rate was higher as an education level was lower. Each non-drinking rate of non-educated group, elementary school group, middle school group and high school group was 41.0 % of high school graduates and 14.5 % of college graduates drank 3 bottles of beer. 9.7 %(the highest rate) of college graduates drank above 10 bottles, in general drinking. 12.Each non-drinking rate of businessmen, farmers, service job workers, and students was 31.3%, 28.2%, 26.8% and 25.9%. However, Each drinking rate of public officers, company employees and teachers was 73.3 %, 72.2 % and 68.4 %. This tells us that the drinking rate of mental workers is higher than that of physical workers. 14.9 % of farmers and 14.4 % of public officers drank 3 bottles at a time. 10.5 % of teachers and 9.9 % of public officers drank above 10 bottles. 13.The variables which affect on drinking were sex(B=.1545), education(B=.1476), job(B=.1064), and age(B=.1052). These variables were significant in the level of 0.05 % and explanatory variance level was 18 %. 14.Government have to educate people and demonstrate the health hazards caused by smoking and over-drinking. Especially, No-smoking campaign for woman and education not to over drink for professional job workers are necessary.

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Intention to Quit Smoking among Intermediate and Secondary School Students in Saudi Arabia

  • Abdulmohsen Hamdan, Al-Zalabani;Ayat Roushdy, Abdallah;Reem Ibrahim, Alqabshawi
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권15호
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    • pp.6741-6747
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    • 2015
  • Background: Smoking is one of the most preventable causes of disease and death, including cancer, and quitting at an early age can reduce smoking-related morbidity and mortality. This study aimed to estimate the prevalence and to identify factors affecting the "intention to quit" among intermediate and secondary school current cigarette smoker students in Al Madinah city, Saudi Arabia. Materials and Methods: This study cohort included 307 current smoker students in a school-based survey. The intention to quit and its related determinants were assessed using a self-administered questionnaire. Results: More than half of the participants were ${\geq}17$ years, and of male gender (54.7%, 77.9% respectively). An intention to quit smoking was reported in 71.7% of participants, and was been significantly associated with: male gender (OR=3.25, 95% CI=1.65-6.41): age at 1st trial of smoking. 10-15 years (OR=2.11, 95% CI=1.03-4.32) along with age of ${\geq}15$ years (OR=3.10, 95% CI=1.20-7.88); days of smoking in the past 30 days (days <10 (OR=2.31, 95% CI=1.23-4.35) along with days ranging from 10-19 days (OR= 3.42, 95% CI=1.18-9.91); knowing that smoking is hazardous to health (OR=3.04, 95% CI=1.42-6.47); and finally, supporting smoking bans in public places (OR=1.89, 95% CI=1.11-3.25). Conclusions: A substantial number of participants were willing to quit smoking. Effective interventions focusing on providing information about the hazards of smoking and prohibiting smoking in public places could help initiate the intention to quit among youth smokers.

Demographic and lifestyle factors and selenium levels in men and women in the U.S.

  • Park, Kyong;Rimm, Eric;Siscovick, David;Spiegelman, Donna;Morris, J. Steven;Mozaffarian, Dariush
    • Nutrition Research and Practice
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    • 제5권4호
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    • pp.357-364
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    • 2011
  • Selenium is an antioxidant trace element linked to cardiovascular disease and cancer. Although diet is a major source, relatively little else is known about independent determinants of selenium levels in free-living humans. In this study, we aimed to investigate the independent demographic. lifestyle, and dietary determinants of selenium levels in 1,997 men and 1,905 women in two large prospective U.S. cohorts. Toenail selenium levels were quantified using neutron activation analysis. Diet, geographic residence, demographic, and environmental factors were assessed by validated self-administered questionnaires. Multivariate generalized linear models were conducted to assess the independent relations of these factors with toenail selenium levels, correcting for measurement error in the diet. In multi variable-adjusted analyses, independent predictors of higher selenium were male gender (6.3% higher levels); living in West and Northern-Midwest U.S. regions (8.9% and 7.4% higher than Southern-Midwest regions, respectively); consumption of beef and bread products (between 0.7 - 2.5% higher per daily serving); and selenium supplement use (6.9% higher than non-users); whereas cigarette smoking (5-10% lower than never smokers), older age (0.6% lower per 5 years), and consumption of eggs, white rice, dairy products, coffee, and alcohol (between 0.1 to 2.0% lower per daily serving) were associated with lower selenium. Multiple dietary and non-dietary factors independently predicted selenium levels, suggesting that both consumption and non-dietary processes (e.g.. related to oxidant status) may affect levels. Significant geographic variation in selenium levels exists in the US.

지역별 건강생활 실천율의 영향요인: 시군구 단위 접근 (Determinants of Healthy Living Practice: County Approach)

  • 정초록;김지만;박종연;신의철;최병호
    • 보건행정학회지
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    • 제30권3호
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    • pp.376-385
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    • 2020
  • Background: The purpose of this study is to investigate the factors affecting the healthy living practice rate such as non-smoking, moderate drinking, walking, and low-salt diet by elementary municipality (so called, 'si-gun-hu'). Methods: The 2016 Korean Community Health Survey was used for the analysis. The theoretical model is founded upon the Anderson model, and both the multiple linear regression analysis and the beta regression analysis was performed for estimation. Results: As a result of the beta regression analysis, healthy living practice rate was found to be significantly higher in the areas with a less number of cigarette retailers, participating in healthy city projects, a low proportion of people who perceive their body type as obesity, a higher proportion of women, and a lower proportion of spouses. Conclusion: In order to improve healthy living practices, the regulations on health risk businesses, the spread of Healthy City project, and policy efforts awaring obesity are recommended.