Tobacco, betel quid, alcohol, and illicit drug use among 13- to 35-year-olds in I-Lan, rural Taiwan: prevalence and risk factors

Chen, Kow-Tong; Chen, Chien-Jen; Fagot-Campagna, A.; Narayan, K.M. Venkat

doi:10.2105/ajph.91.7.1130

Cited by 62 publications

(14 citation statements)

References 21 publications

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“…In Tyas and Pederson's review [23], age was associated with an increase in smoking prevalence and initiation. Chen and colleagues reported that the mean age of initiation of use any of tobacco, alcohol, or illicit drugs was 16 to 18 years [24]. We observed a similar pattern, except for the decrease in the 7 th grade, which may have been a result of the transition involved in attending a new school.…”

Section: Discussionsupporting

confidence: 78%

The incidence of experimental smoking in school children: an 8-year follow-up of the child and adolescent behaviors in long-term evolution (CABLE) study

Chang

et al. 2011

BMC Public Health

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BackgroundStudies have established that most regular adult smokers become addicted in their adolescent years. We investigated the incidence of and risk factors associated with initial experimental smoking among a group of school children who were followed for 8 years.MethodsWe used cohort data collected as part of the Child and Adolescent Behaviors in Long-term Evolution (CABLE) study, which selected nine elementary schools each from an urban area (Taipei City) and a rural area (Hsingchu county) in northern Taiwan. From 2002 to 2008, children were asked annually whether they had smoked in the previous year. An accelerated lifetime model with Weibull distribution was used to examine the factors associated with experimental smoking.ResultsIn 2001, 2686 4th-graders participated in the study. For each year from 2002 to 2008, their incidences of trial smoking were 3.1%, 4.0%, 2.8%, 6.0%, 5.3%, 5.0% and 6.0%, respectively. There was an increase from 7th to 8th grade (6.0%). Children who were males, lived in rural areas, came from single-parent families, had parents who smoked, and had peers who smoked were more likely to try smoking earlier. The influence of parents and peers on experimental smoking demonstrated gradient effects.ConclusionsThis study used a cohort to examine incidence and multiple influences, including individual factors, familial factors, and community factors, on experimental smoking in adolescents. The findings fit the social ecological model, highlighting the influences of family and friends. School and community attachment were associated with experimental smoking in teenagers.

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Section: Discussionsupporting

confidence: 78%

The incidence of experimental smoking in school children: an 8-year follow-up of the child and adolescent behaviors in long-term evolution (CABLE) study

Chang

et al. 2011

BMC Public Health

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“…For instance, among the youths, significantly higher prevalence of TS and IDU were found among those aged 20–24 years, which are consistent with the findings of other studies in Bangladesh and elsewhere [5], [16], [17], [38]–[40]. This may be partially attributed to the traditional and cultural norms in Bangladesh and stress related issues.…”

Section: Discussionsupporting

confidence: 89%

Tobacco Smoking and Its Association with Illicit Drug Use among Young Men Aged 15-24 Years Living in Urban Slums of Bangladesh

et al. 2013

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BackgroundTobacco smoking (TS) and illicit drug use (IDU) are of public health concerns especially in developing countries, including Bangladesh. This paper aims to (i) identify the determinants of TS and IDU, and (ii) examine the association of TS with IDU among young slum dwellers in Bangladesh.Methodology/Principal FindingsData on a total of 1,576 young slum dwellers aged 15–24 years were extracted for analysis from the 2006 Urban Health Survey (UHS), which covered a nationally representative sample of 13,819 adult men aged 15–59 years from slums, non-slums and district municipalities of six administrative regions in Bangladesh. Methods used include frequency run, Chi-square test of association and multivariable logistic regression. The overall prevalence of TS in the target group was 42.3%, of which 41.4% smoked cigarettes and 3.1% smoked bidis. The regression model for TS showed that age, marital status, education, duration of living in slums, and those with sexually transmitted infections were significantly (p<0.001 to p<0.05) associated with TS. The overall prevalence of IDU was 9.1%, dominated by those who had drug injections (3.2%), and smoked ganja (2.8%) and tari (1.6%). In the regression model for IDU, the significant (p<0.01 to p<0.10) predictors were education, duration of living in slums, and whether infected by sexually transmitted diseases. The multivariable logistic regression (controlling for other variables) revealed significantly (p<0.001) higher likelihood of IDU (OR = 9.59, 95% CI = 5.81–15.82) among users of any form of TS. The likelihood of IDU increased significantly (p<0.001) with increased use of cigarettes.Conclusions/SignificanceCertain groups of youth are more vulnerable to TS and IDU. Therefore, tobacco and drug control efforts should target these groups to reduce the consequences of risky lifestyles through information, education and communication (IEC) programs.

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“…It is also noticed that higher education and higher income was protective against PMD and oral cancer. [ 12 23 ] Statistically significant difference was observed between the study population and SES index ( P < 0.01, S). The individuals with less education and low income were more likely to smoke cigarettes, chew tobacco and drink alcohol.…”

Section: Discussionmentioning

confidence: 95%

Influence of risk factors on patients suffering from potentially malignant disorders and oral cancer: A case–control study

Kadashetti

Shivakumar

Chaudhary

et al. 2017

J Oral Maxillofac Pathol

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Background:Tobacco use can alone lead to death worldwide, especially in developing and underdeveloped countries. China and Brazil are the world's largest producer of tobacco. India holds the third place in producing, and it is the fourth largest consumer of tobacco and its products in the world.Objectives:A case–control study was carried out to assess the influence of risk factors on patients with potentially malignant disorders (PMD) and oral cancer.Materials and Methods:Fifty cases diagnosed with PMD and oral cancer patients were selected for the study. An equal number 50 healthy controls who were also selected after age and gender matching. Multivariate logistic regression analysis was used to estimate the suspected risk factors for PMD and oral cancers. Chi-square test, Adjusted odd's ratios with 95% confidence interval were also used for the statistical analysis.Results:There is a statistically significant difference between the different age group, duration, frequency, exposure time, and synergistic effect of tobacco chewing, smoking and alcohol drinking.Conclusions:Chewing tobacco is one of the major risk factors in the initiation of PMD which can lead to oral cancer.

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Tobacco, betel quid, alcohol, and illicit drug use among 13- to 35-year-olds in I-Lan, rural Taiwan: prevalence and risk factors

Cited by 62 publications

References 21 publications

The incidence of experimental smoking in school children: an 8-year follow-up of the child and adolescent behaviors in long-term evolution (CABLE) study

The incidence of experimental smoking in school children: an 8-year follow-up of the child and adolescent behaviors in long-term evolution (CABLE) study

Tobacco Smoking and Its Association with Illicit Drug Use among Young Men Aged 15-24 Years Living in Urban Slums of Bangladesh

Influence of risk factors on patients suffering from potentially malignant disorders and oral cancer: A case–control study

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