Displaying publications 61 - 80 of 173 in total

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  1. Chan CMH, Ab Rahman J, Tee GH, Wee LH, Ho BK, Robson NZMH, et al.
    Asia Pac J Public Health, 2019 10;31(7_suppl):32S-43S.
    PMID: 31328531 DOI: 10.1177/1010539519860730
    Little is known about the perceptions of harm and benefit associated with the use of e-cigarettes in Malaysia. This was a cross-sectional analysis of a nationally representative sample comprising 1987 males (≥18 years of age). Current, former, and never users of conventional cigarettes and/or e-cigarettes participated in a questionnaire study conducted via face-to-face interviews. The relationship between participant characteristics and perceptions of harm and benefit of e-cigarettes were determined with multivariable logistic regression. There were 950 current, 377 former, and 660 never users of e-cigarettes. Government employees (odds ratio [OR] = 1.85, 95% confidence interval [CI] = 1.29-2.66, P = .001), private sector employees (OR = 1.67, 95% CI = 1.27-2.18, P = .001), and the self-employed people (OR = 1.68, 95% CI = 1.31-2.17, P = .001) were more likely to perceive e-cigarettes as more harmful than conventional cigarettes compared with respondents who were not wage earners. All current users in the form of e-cigarette users (OR = 7.87, 95% CI = 3.23-19.18), conventional cigarette smokers (OR = 1.80, 95% CI = 1.39-2.33), and dual users (OR = 8.59, 95% CI = 4.76-15.52) were more likely to perceive e-cigarettes as useful in quitting conventional cigarette smoking compared with former and never users. Our findings constitute an important snapshot into the perceptions of e-cigarette harms and benefits, which could inform targeted public health messaging strategies.
    Matched MeSH terms: Smoking/epidemiology
  2. Seo DC, Torabi MR, Kim N, Lee CG, Choe S
    Am J Health Behav, 2013 Mar;37(2):199-207.
    PMID: 23026101 DOI: 10.5993/AJHB.37.2.7
    OBJECTIVES: To compare the prevalence and correlates of cigarette smoking among East Asian college students.
    METHODS: Data were collected from college students (N=16,558) in China, Hong Kong, Malaysia, Singapore, South Korea, and Taiwan (response rate: 78%).
    RESULTS: Religion was independently associated with college students' smoking in China (adjusted odds ratio [AOR] = 1.82) and South Korea (AOR = 0.80). Being a heavy drinker and having a higher exposure to secondhand smoke were associated with higher smoking rates (Ps < .001).
    CONCLUSIONS: The East Asian economies show a varied prevalence of college smoking but a similar pattern of relationship with its correlates.
    Study site: 21 institutions in 6 East Asian economies: 3 colleges each from Hong Kong, Malaysia, Singapore, and South Korea; 4 colleges from Taiwan; and 5 colleges from China.
    Matched MeSH terms: Smoking/epidemiology*
  3. Parkinson CM, Hammond D, Fong GT, Borland R, Omar M, Sirirassamee B, et al.
    Am J Health Behav, 2009 Jul-Aug;33(4):366-75.
    PMID: 19182982
    To characterize smoking beliefs among Thai and Malaysian youth and to examine associations with gender, antismoking media exposure, and smoking status.
    Matched MeSH terms: Smoking/epidemiology*
  4. Sreeramareddy CT, Aye SN
    BMC Public Health, 2021 06 24;21(1):1209.
    PMID: 34167508 DOI: 10.1186/s12889-021-11201-0
    BACKGROUND: Hardcore smoking behaviours and test of hardening are seldom reported from low-and-middle-income countries (LMICs). We report country-wise changes in smoking behaviors between two sequential surveys and explored ecologically the relationship between MPOWER scores and smoking behaviors including hardcore smoking.

    METHODS: We analysed sequential Global Adult Tobacco Survey (GATS) data done at least at five years interval in 10 countries namely India, Bangladesh, China, Mexico, Philippines, Russia, Turkey, Ukraine, Uruguay, and Vietnam. We estimated weighted prevalence rates of smoking behaviors namely current smoking (both daily and non-daily), prevalence of hardcore smoking (HCS) among current smokers (HCSs%) and entire surveyed population (HCSp%), quit ratios (QR), and the number of cigarettes smoked per day (CPD). We calculated absolute and relative (%) change in rates between two surveys in each country. Using aggregate data, we correlated relative change in current smoking prevalence with relative change in HCSs% and HCSp% as well as explored the relationship of MPOWER score with relative change in smoking behaviors using Spearman' rank correlation test.

    RESULTS: Overall daily smoking has declined in all ten countries lead by a 23% decline in Russia. In India, Bangladesh, and Philippines HCSs% decreased as the smoking rate decreased while HCSs% increased in Turkey (66%), Vietnam (33%) and Ukraine (15%). In most countries, CPD ranged from 15 to 20 sticks except in Mexico (7.8), and India (10.4) where CPD declined by 18 and 22% respectively. MPOWER scores were moderately correlated with HCSs% in both sexes (r = 0.644, p = 0.044) and HCSp% (r = 0.632, p = 0.05) and among women only HCSs% (r = 0.804, p = 0.005) was significantly correlated with MPOWER score.

    CONCLUSION: With declining smoking prevalence, HCS had also decreased and quit rates improved. Ecologically, a positive linear relationship between changes in smoking and HCS is a possible evidence against 'hardening'. Continued monitoring of the changes in quitting and hardcore smoking behaviours is required to plan cessation services.

    Matched MeSH terms: Smoking/epidemiology
  5. Lim KH, Sumarni MG, Kee CC, Christopher VM, Noruiza Hana M, Lim KK, et al.
    Trop Biomed, 2010 Dec;27(3):394-403.
    PMID: 21399579 MyJurnal
    A cross-sectional study was conducted among form four students of secondary schools in the District of Petaling, Selangor, Malaysia from February 2008 to June 2008 with the aim of quantifying the prevalence of smoking and identifying the psychosocial factors related to smoking among adolescents in this district. A two-stage stratified sampling strategy was used to obtain a sample of 1300 students based on an estimated prevalence of 10%. The response rate was 80.5% (1045 out of 1298 students). Results showed that prevalence of smoking was higher among male students (22.3%) compared to females (5.5%) and the median age at smoking initiation was lower among males compared to female smokers (14 years old vs 15 years old). Modifiable risk factors associated with smoking were "percentage of friends who smoke" (OR 2.94, 95% CI [1.71- 5.06]) and "having a brother who smokes" (OR 1.97, 95% CI [1.20-3.31]). There was also a correlation between smoking prevalence and the number of risk factors present. Intensification of health education and anti-smoking programmes and modification of external factors in early adolescence are recommended to prevent smoking initiation.
    Matched MeSH terms: Smoking/epidemiology*
  6. Villiers-Tuthill A, Copley A, McGee H, Morgan K
    BMC Public Health, 2016 07 22;16:627.
    PMID: 27448397 DOI: 10.1186/s12889-016-3158-y
    BACKGROUND: Health behaviour patterns in older groups, including tobacco and alcohol use, are key factors in chronic disease prevention. We explore ageing self-perceptions as motivating factors behind smoking and drinking alcohol in older adults, and the complex reasons why individuals engage harmfully in these behaviours.

    METHODS: Cigarette and alcohol use was assessed in a large cross-sectional national sample aged 50 years and above from the Irish Longitudinal Study on Ageing (TILDA) (n = 6,576). The Brief Ageing Perceptions Questionnaire (BAPQ) assessed individual's views of their own ageing across five domains. Study hypothesis that stronger beliefs on each of the BAPQ domains would be related to drinking and smoking was examined using multinomial logit models (MNLM). Regression parameter estimates for all variables were estimated relative risk ratios (RRR).

    RESULTS: More women were non-drinkers (30 % vs. 20 %) and men displayed significantly higher alcohol use patterns. One in five older Irish adults was a current smoker (16.8 % of women, 17 % of men), and smoking and harmful drinking were strongly associated (P 

    Matched MeSH terms: Smoking/epidemiology*
  7. Do TC, Boettiger D, Law M, Pujari S, Zhang F, Chaiwarith R, et al.
    HIV Med, 2016 08;17(7):542-9.
    PMID: 27430354 DOI: 10.1111/hiv.12358
    OBJECTIVES: The aim of the study was to assess the prevalence and characteristics associated with current smoking in an Asian HIV-positive cohort, to calculate the predictive risks of cardiovascular disease (CVD), coronary heart disease (CHD) and myocardial infarction (MI), and to identify the impact that simulated interventions may have.

    METHODS: Logistic regression analysis was used to distinguish associated current smoking characteristics. Five-year predictive risks of CVD, CHD and MI and the impact of simulated interventions were calculated utilizing the Data Collection on Adverse Effects of Anti-HIV Drugs Study (D:A:D) algorithm.

    RESULTS: Smoking status data were collected from 4274 participants and 1496 of these had sufficient data for simulated intervention calculations. Current smoking prevalence in these two groups was similar (23.2% vs. 19.9%, respectively). Characteristics associated with current smoking included age > 50 years compared with 30-39 years [odds ratio (OR) 0.65; 95% confidence interval (CI) 0.51-0.83], HIV exposure through injecting drug use compared with heterosexual exposure (OR 3.03; 95% CI 2.25-4.07), and receiving antiretroviral therapy (ART) at study sites in Singapore, South Korea, Malaysia, Japan and Vietnam in comparison to Thailand (all OR > 2). Women were less likely to smoke than men (OR 0.11; 95% CI 0.08-0.14). In simulated interventions, smoking cessation demonstrated the greatest impact in reducing CVD and CHD risk and closely approximated the impact of switching from abacavir to an alternate antiretroviral in the reduction of 5-year MI risk.

    CONCLUSIONS: Multiple interventions could reduce CVD, CHD and MI risk in Asian HIV-positive patients, with smoking cessation potentially being the most influential.

    Matched MeSH terms: Smoking/epidemiology*
  8. Ho LM, Schafferer C, Lee JM, Yeh CY, Hsieh CJ
    BMC Public Health, 2018 Oct 19;18(1):1187.
    PMID: 30340557 DOI: 10.1186/s12889-018-6096-z
    BACKGROUND: According to the World Health Organization (WHO), 80% of the world's smokers live in low- and middle-income countries. Moreover, more than half of the world's smoking-addicted population resides in the Asia-Pacific region. The reduction of tobacco consumption has thus become one of the major social policies in the region. This study investigates the effects of price increases on cigarette consumption, tobacco tax revenues and reduction in smoking-caused mortality in 22 low-income as well as middle-income countries in the Asia-Pacific region.

    METHODS: Using panel data from the 1999-2015 Euromonitor International, the World Bank and the World Health Organization, we applied fixed effects regression models of panel data to estimate the elasticity of cigarette prices and to simulate the effect of price fluctuations.

    RESULTS: Cigarette price elasticity was the highest for countries with a per capita Gross National Income (GNI) above US$6000 (China and Malaysia), and considerably higher for other economies in the region. The administered simulation shows that with an average annual cigarette price increase of 9.51%, the average annual cigarette consumption would decrease by 3.56%, and the average annual tobacco tax revenue would increase by 16.20%. The number of averted smoking-attributable deaths (SADs) would be the highest in China, followed by Indonesia and India. In total, over 17.96 million lives could be saved by tax increases.

    CONCLUSION: Excise tax increases have a significant effect on the reduction of smoking prevalence and the number of averted smoking-attributable deaths. Middle- and upper-middle income countries would be most affected by high-taxation policies.

    Matched MeSH terms: Smoking/epidemiology*
  9. Lim KH, Heng PP, Nik Mohamed MH, Teh CH, Mohd Yusoff MF, Ling JMY, et al.
    Asia Pac J Public Health, 2019 10;31(7_suppl):22S-31S.
    PMID: 31802718 DOI: 10.1177/1010539519874944
    Smoking cessation significantly reduces risk of smoking-related diseases and mortality. This study aims to determine the prevalence and factors associated with attempts to quit and smoking cessation among adult current smokers in Malaysia. Data from the National E-Cigarette Survey 2016 were analyzed. Forty nine percent of current smokers had attempted to quit at least once in the past 12 months and 31.4% of the respondents were former smokers. Multivariable analysis revealed that current smokers with low nicotine addiction and aged below 45 years were more likely to attempt to quit smoking. Being married, older age group, and having tertiary education were significantly associated with smoking cessation. Only half of the current smokers ever attempted to quit smoking and only a third of smokers quit. Stronger tobacco control policies are needed in Malaysia to encourage more smokers to quit smoking. Improved access to cessation support for underprivileged smokers is also needed.
    Matched MeSH terms: Smoking/epidemiology
  10. Robert Lourdes TG, Abd Hamid HA, Mohd Yusoff MF, Rodzlan Hasani WS, Mat Rifin H, Saminathan TA, et al.
    Asia Pac J Public Health, 2019 10;31(7_suppl):44S-52S.
    PMID: 31522514 DOI: 10.1177/1010539519870663
    Electronic cigarettes (e-cigarettes) are handheld devices that deliver an aerosol by heating a solution made up of propylene glycol and/or glycerol with or without flavoring agents and nicotine. This nationwide cross-sectional survey examined factors associated with e-cigarette usage and reasons for its initiation among 13 162 Malaysian adolescents. Data from TECMA (Tobacco and E-Cigarette Survey among Malaysian Adolescents) were used. Nine percent of adolescents had used e-cigarettes in the past month. Males (adjusted odds ratio [aOR] = 4.08; 95% confidence interval [CI] = 3.36-4.95), 16 to 19 year olds (aOR = 2.64; 95% CI = 2.13-3.26), Malays (aOR = 2.25; 95% CI = 1.79-2.83), Sabah and Sarawak Bumiputeras (aOR = 2.25; 95% CI = 1.61-3.15), and cigarette smokers (aOR = 13.16; 95% CI = 11.14-15.54) were more likely to use e-cigarettes. Three main reasons for e-cigarette initiation among adolescents were its taste and smell, experimentation, and popularity. Sale of e-cigarettes with or without nicotine to people aged younger than 18 years should be banned. Flavored e-cigarettes should also be banned since there is evidence suggesting increased appeal among the younger generation.
    Matched MeSH terms: Smoking/epidemiology
  11. Hosseinpoor AR, Parker LA, Tursan d'Espaignet E, Chatterji S
    PLoS One, 2011;6(5):e20331.
    PMID: 21655299 DOI: 10.1371/journal.pone.0020331
    INTRODUCTION: Tobacco smoking is a leading cause of premature death and disability, and over 80% of the world's smokers live in low- or middle-income countries. The objective of this study is to assess demographic and socioeconomic determinants of current smoking in low- and middle-income countries.
    METHODS: We used data, from the World Health Survey in 48 low-income and middle-income countries, to explore the impact of demographic and socioeconomic factors on the current smoking status of respondents. The data from these surveys provided information on 213,807 respondents aged 18 years or above that were divided into 4 pooled datasets according to their sex and country income group. The overall proportion of current smokers, as well as the proportion by each relevant demographic and socioeconomic determinant, was calculated within each of the pooled datasets, and multivariable logistic regression was used to assess the association between current smoking and these determinants.
    RESULTS: The odds of smoking were not equal in all demographic or socioeconomic groups. Some factors were fairly stable across the four datasets studied: for example, individuals were more likely to smoke if they had little or no education, regardless of if they were male or female, or lived in a low or a middle income country. Nevertheless, other factors, notably age and wealth, showed a differential effect on smoking by sex or country income level. While women in the low-income country group were twice as likely to smoke if they were in the lowest wealth quintile compared with the highest, the association was absent in the middle-income country group.
    CONCLUSION: Information on how smoking is distributed among low- or middle-income countries will allow policy makers to tailor future policies, and target the most vulnerable populations.
    Study name: World Health Survey (Malaysia is a study site)
    Matched MeSH terms: Smoking/epidemiology*
  12. Abd Rashid R, Kanagasundram S, Danaee M, Abdul Majid H, Sulaiman AH, Ahmad Zahari MM, et al.
    PMID: 31109033 DOI: 10.3390/ijerph16101762
    Objective: This study was conducted to assess the prevalence, pattern of smoking and sociodemographic factors among Kerinchi residents in Kuala Lumpur, as well as to identify the association between smoking, stress, anxiety and depression. Methods: This study was carried out at four community housing projects in the Lembah Pantai area in Kuala Lumpur. Data was collected between 3 February 2012, and 29 November 2012. Data collectors made house visits and used interviewer administered questionnaires containing questions on demographic data and smoking patterns. Depression anxiety stress scale (DASS) was used to assess psychological symptoms. Alcohol smoking and substance involvement screening tool (ASSIST) scale was used to assess nicotine use. Results: Data from 1989 individuals (833 households) showed the age of respondents ranged from 18 to 89 years and the mean age was 39.12 years. There were 316 smokers indicating the prevalence of smoking was 15.85%, with 35.5% among males and 1.8% among females. Further, 86.6% of smokers were Malay and 87% were Muslims. Divorce was associated with smoking. Unemployment and housewives were less associated with smoking. Depression and anxiety were significantly associated with smoking (OR = 1.347. 95% CI: 1.042-1.741) and (OR = 1.401. 95% CI: 1.095-1.793) respectively. Conclusion: Screening for depression and anxiety should be routinely performed in the primary care setting and in population-based health screening to intervene early in patients who smoke.
    Matched MeSH terms: Smoking/epidemiology*
  13. Nur Atikah AH, Wee LH, Nur Zakiah MS, Chan CMH, Mohamed Haniki NM, Swinderjit JS, et al.
    BMC Public Health, 2019 Jun 13;19(Suppl 4):579.
    PMID: 31196055 DOI: 10.1186/s12889-019-6857-3
    BACKGROUND: This study focused on the associations between socioeconomic status (SES) and adolescent smoking among secondary school students (13 to 17 years) in the Federal Territory of Kuala Lumpur, Malaysia. Our objective was to evaluate the relationships between adolescent demographics, socioeconomic status and smoking status.

    METHODS: The survey data were based on baseline findings from a cross-sectional study (N = 422 adolescents). Chi-square test was used to assess the relationship between demographic characteristics, socioeconomic status (household monthly income and daily allowance) and adolescent smoking status. Exhaled carbon monoxide (CO) reading and the Hooked on Nicotine Checklist (HONC) were used to evaluate adolescent smoking status. A Multivariate Multinomial Logistic Regression (MMLR) was employed to test selected demographic and socioeconomic predictors of smoking status.

    RESULTS: Of the 422 adolescents (M age = 15.58, SD = 1.24), more than half of the participants initiated smoking between 13 to 17 years old (59.0%). A total of 308 (73.0%) were electronic cigarette users, with more than 50% comprising of single users. The mean CO reading was 2.14 ppm with 78.0% of adolescents scoring more than 0 on the Hooked on Nicotine Checklist (HONC). Males and participants aged 15 and 16 years were at increased risks of sole CC smoking. Meanwhile, males, those who are not hooked on smoking and with a non-smoker CO reading were at increased risks of sole EC smoking. Finally, Bumiputeras were at less risk of EC smoking.

    CONCLUSIONS: Demographic variables such as age, gender and ethnicity predicted smoking status predicted smoking risk, but not socioeconomic factors. The findings allow policy makers to target specific high-risk demographic groups when designing smoking cessation programs for adolescents.
    Matched MeSH terms: Smoking/epidemiology*
  14. Al-Naggar RA, Bobryshev YV
    Asian Pac J Cancer Prev, 2012;13(11):5627-32.
    PMID: 23317228
    BACKGROUND: The aim of the study was to determine the prevalence of shisha smoking and associated factors among medical students in Malaysia.

    MATERIALS AND METHODS: A cross-sectional study was conducted at the Management and Science University from December 2011 until March 2012. The questionnaire consisted of five sections including socio-demographic, social environment, knowledge about shisha, psychosocial factors, and personal shisha smoking behavior. Obtained data were analyzed using Statistical Package for the Social Sciences (SPSS 13). T-test was used to determine the relationships between shisha smoking and socio-demographic characteristic.

    RESULTS: A total number of 300 medical students participated in this study. Mean age was 22.5±2.5 years. The majority were female, Malay, single, from urban areas (67%, 54%, 97%, 73%; respectively). The prevalence of shisha smoking among medical students was found to be 20%. The study revealed that many students believed that shisha does not contains nicotine, carbon monoxide, does not lead to lung cancer, dental problems and does not lead to cardiovascular diseases (25%, 20.7%, 22.3%, 29%, 26.7%; respectively). Age and sex were found to be significantly associated with smoking shisha status among medical students (p=0.029, p<0.001; respectively). Furthermore, having parents, siblings and friends smokers of shisha were found to be significantly associated with shisha smoking status (p<0.001, p<0.001, p<0.001; respectively). Furthermore, family problems, problems with friends, financial problems and university life were found to significantly associated with shisha smoking status among medical students (p<0.001, p=0.002, p<0.001, p=0.002; respectively).

    CONCLUSIONS: There is a high prevalence of shisha smoking and a poor knowledge about its impact on health among medical students. More attention is needed to focus on medical education in this regard. The policies that are currently employed in order to reduce the cigarettes smoking should be applied to shisha smoking and shisha products.
    Matched MeSH terms: Smoking/epidemiology*
  15. Wadhwa R, Paudel KR, Mehta M, Shukla SD, Sunkara K, Prasher P, et al.
    CNS Neurol Disord Drug Targets, 2020;19(9):698-708.
    PMID: 33109069 DOI: 10.2174/1871527319999200817112427
    Tobacco smoke is not only a leading cause for chronic obstructive pulmonary disease, cardiovascular disorders, and lung and oral cancers, but also causes neurological disorders such as Alzheimer 's disease. Tobacco smoke consists of more than 4500 toxic chemicals, which form free radicals and can cross blood-brain barrier resulting in oxidative stress, an extracellular amyloid plaque from the aggregation of amyloid β (Aβ) peptide deposition in the brain. Further, respiratory infections such as Chlamydia pneumoniae, respiratory syncytial virus have also been involved in the induction and development of the disease. The necessary information collated on this review has been gathered from various literature published from 1995 to 2019. The review article sheds light on the role of smoking and respiratory infections in causing oxidative stress and neuroinflammation, resulting in Alzheimer's disease (AD). This review will be of interest to scientists and researchers from biological and medical science disciplines, including microbiology, pharmaceutical sciences and the translational researchers, etc. The increasing understanding of the relationship between chronic lung disease and neurological disease is two-fold. First, this would help to identify the risk factors and possible therapeutic interventions to reduce the development and progression of both diseases. Second, this would help to reduce the probable risk of development of AD in the population prone to chronic lung diseases.
    Matched MeSH terms: Smoking/epidemiology*
  16. Yen ST, Tan AKG
    Asian Pac J Cancer Prev, 2021 Jul 01;22(7):1997-2004.
    PMID: 34319019 DOI: 10.31557/APJCP.2021.22.7.1997
    BACKGROUND: This study investigates the socio-demographic factors associated with smoking status in five Southeast Asian countries: Malaysia, Thailand, Indonesia, Vietnam, and Philippines.

    METHODS: This cross-sectional study utilizes data of adults ≥15 years who completed the Global Adult Tobacco Surveys. Ordered probit analysis is used to account for the smoking statuses of non-smokers, occasional smokers, and daily smokers.

    RESULTS: Malaysian and Vietnamese households with more family members face lower smoking likelihoods than otherwise. Urbanites in Philippines and rural residents in Thailand and Indonesia are more likely to smoke on occasional and daily basis than others. Males are consistently more likely to smoke occasionally or daily and less likely to be non-smokers than females across all countries. Younger middle-age (retiree) individuals aged 30-35 (≥60) years in Malaysia and Thailand exhibit higher (lower) likelihoods to smoke occasionally or daily than their younger cohorts aged 15-29 years. Individuals aged 30 years and above in Indonesia, Vietnam, and Philippines display higher daily smoking propensities than others. Higher education levels dampens smoking likelihoods and increases non-smoking propensities in all countries. Non-government or self-employed workers in all countries are more likely to smoke occasionally or daily than unemployed persons. Being married is associated with higher non-smoking likelihoods in Thailand although this association is not evident in Malaysia.

    CONCLUSION: These findings suggest that a portfolio of targeted interventions is necessary to meet the needs of specific subpopulations within the various countries.
    .

    Matched MeSH terms: Smoking/epidemiology*
  17. Rahman A, Nik Mohamed MH, Mahmood S
    J Pharm Pharm Sci, 2021;24:200-209.
    PMID: 33909555 DOI: 10.18433/jpps31243
    PURPOSE: Evidence for the complete nicotine cessation is inadequate among electronic cigarettes (ECs) single users (SUs, use only ECs), and dual users (DUs, use both ECs and conventional cigarettes (CCs). The primary aim of this study was to evaluate the nicotine cessation among SUs and DUs who used ECs over one year.

    METHODS: We observed 70 SUs and 148 DUs for 52 weeks and tested their exhaled carbon monoxide and saliva cotinine to confirm their complete nicotine cessation status through cotinine in saliva. Safety issues were to be identified through self-report. Smoking cessation, CCs reduction of ≥ 50%, and relapsed to CCs smoking and safety issues were also documented.

    RESULTS: The nicotine cessation rate was higher in SUs then DUs (15.9% vs. 6.8%; P = 0.048; 95% CI (2.328-0.902). A similar result for smoking cessation (34.8% SUs vs. 17.1% DUs; P = 0.005; 95% CI: 2.031-0.787), whereas CCs ≥ 50% reduction was 23.3% DUs vs 21.7% SUs (P = 0.863; 95% CI :1.020-0.964). Relapse to CC smoking was 47.3% in DUs versus 30.4% in SUs (P = 0.026; 95% CI: 1.555-0.757). The adverse effects reported were coughing and breathing problems, whereas craving smoking was documented as a major withdrawal symptom. Smoking-related diseases were also identified, five in DUs and two in SUs, during the one-year study period.

    CONCLUSIONS: Study showed SUs achieved higher complete nicotine and smoking cessation rates as compared to DUs. However, the rates of reduced CC use were not different between both the groups. No serious adverse effects related to the sole use of ECs were detected. However, the safety of the sole use of ECs in absolute terms needs to be further validated in different populations.

    Matched MeSH terms: Smoking/epidemiology*
  18. Reidpath DD, Ling ML, Wellington E, Al-Sadat N, Yasin S
    Nicotine Tob Res, 2013 Mar;15(3):729-33.
    PMID: 22990215 DOI: 10.1093/ntr/nts177
    INTRODUCTION: It is held that younger smoking initiates are more likely to become regular smokers. The definitions of smoking initiation (a puff, part of a cigarette, a whole cigarette) are inconsistent and raise questions about the robustness of the view. We sought to re-examine the relationship using adolescent smoking data from 3 European countries.
    METHODS: A stratified secondary, logistic regression analysis of Global Youth Tobacco Survey data was conducted using a design-based analysis. Subgroup analyses were conducted of 13- to 15-year olds from Latvia (high smoking prevalence), Slovenia (moderate prevalence), and Montenegro (low prevalence) who had initiated smoking. The outcome was current smoking--smoking everyday for the past 30 days, or smoking 10 or more days in the past 30 days. Smoking initiation was operationalized as a single puff of a cigarette, and age of smoking initiation was a derived continuous measure.
    RESULTS: In Latvia, there was a significant association between age of smoking initiation and current smoking for males (p < .05) and females (p < .001) when smoking was operationalized as smoking every day. It was only significant in female adolescents (p < .001) for smoking 10 or more days. In Slovenia and Montenegro, there was no significant relationship between age of smoking initiation and current smoking for either males or females.
    CONCLUSIONS: The evidence about the relationship between age of smoking initiation and current smoking is not clear. Explanations for the findings may relate to a lack of power, the specificity of the measure, or problems with the theory.
    Matched MeSH terms: Smoking/epidemiology*
  19. Shamsuddin K, Haris MA
    Singapore Med J, 2000 Apr;41(4):167-71.
    PMID: 11063181
    Objectives: To measure the prevalence of cigarette smoking among male secondary school children and assess their family influence especially that of their fathers' smoking habits on their current smoking habits.
    Methodology: A cross-sectional study was carried out in Kota Bharu, Kelantan in April 1997 where 460 male form four students, aged 15-16 years were randomly selected from six secondary schools. Data on smoking habits, sociodemographic profile and family characteristics particularly parents and siblings' smoking habits, perceived parental supervision and communication were collected through self-administered questionnaires.
    Results: The prevalence of cigarette smoking among male secondary school children was 33.2%. Crude analysis shows family factors, fathers' and siblings' smoking habits, and lack of parental supervision were significantly associated with the students' current smoking habit. Among students who smoked compared to non-smokers, father's smoking habit gives a crude Odds Ratio = 1.8, 95% C.I. 1.08 - 3.16. Further analysis shows that the effect of their father's smoking habit on the student's current smoking habit is still significant after controlling for other familial and non-familial factors including parental supervision, academic performance, reported influence of cigarette advertisement, having friends who smoked and the student's poor knowledge of the ill-effects of smoking and other factors (Odds Ratio = 1.9, 95% C.I 1.05 - 3.32). In conclusion, family factors especially the father's smoking habit is an important factor that influences a student's current smoking habit and the presence of negative role models within the home need to be seriously considered in any cigarette smoking prevention programs among secondary school adolescents.
    Keywords: smoking, male students, adolescents, family influence, father’s smoking habit
    Matched MeSH terms: Smoking/epidemiology*
  20. Emmanuel SC, Ho CK, Chen AJ
    Singapore Med J, 1990 Jun;31(3):211-6.
    PMID: 2392697
    A cross sectional nationally representative survey of 33,110 school-going children in Singapore aged between 9 and 20 years was carried out to obtain, for the first time, baseline information on smoking among the school-going population in Singapore. The survey was carried out among students attending vocational institutes and public sector schools in Singapore in 1987. The overall smoking prevalence was found to be 2% (3% among boys and 0.2% among girls). Ex-smokers comprised 2% of respondents whilst those who had only experimented with smoking made up 9% of the respondents. Analyses of the data showed that cigarette smoking was more prevalent among Malays, among boys, among older children, and among the less academically inclined. On average, boys smoked a median of 20 cigarettes a week and girls, 12 cigarettes a week. On an international basis, the smoking prevalence among the school-going population in Singapore is significantly lower than that of developed countries like Australia, England and Wales and neighbouring countries such as Malaysia.
    Matched MeSH terms: Smoking/epidemiology*
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