Relationship between frequency and intensity of cigarette smoking and TTFC/C among students of the GYTS in select countries, 2007-2009

Modeling of smoking intensity by age at smoking onset among Iranian adult male using generalized additive model

Because the age at which a person first starts smoking has such a strong correlation with future smoking behaviours, it's crucial to examine its relationship with smoking intensity. However, it is still challenging to accurately prove this relationship due to limitations in the methodology of the performed studies. Therefore the main purpose of this study is to evaluate the potential risk factors affecting the intensity of smoking, especially the age of smoking onset among Iranian adult male smokers over 18 years of age using a generalized additive model (GAM). In GAM a latent variable with logistic distribution and identity link function was considered. Data from 913 Iranian male current smokers over the age of 18 was evaluated from a national cross-sectional survey of non-communicable disease (NCD) risk factors in 2016. Individuals were classified into: light, moderate, and heavy smokers. A GAM was used to assess the relationship. The results showed that 246 (26.9%) subjects were light smokers, 190 (20.8%) subjects were moderate smokers and 477 (52.2%) subjects were heavy smokers. According to the GAM results, the relationship was nonlinear and smokers who started smoking at a younger age were more likely to become heavy smokers. The factors of unemployment (OR = 1.364, 95% CI 0.725–2.563), retirement (OR = 1.217, 95% CI 0.667–2.223), and exposure to secondhand smoke at home (OR = 1.364, 95% CI 1.055–1.763) increased the risk of heavy smoking. but, smokers with high-income (OR = 0.742, 95% CI 0.552–0.998) had a low tendency to heavy smoking. GAM identified the nonlinear relationship between the age of onset of smoking and smoking intensity. Tobacco control programs should be focused on young and adolescent groups and poorer socio-economic communities.

Pattern and Predictors of Tobacco Use Among Undergraduates in Three Tertiary Institutions in North-Western Nigeria

BACKGROUND

Tobacco use is associated with medical, social and economic problems. There is paucity of data on tobacco use among undergraduates in northern Nigeria. This study assessed pattern and predictors of tobacco use among undergraduates in Zaria, North-western Nigeria.

METHOD

It was a cross-sectional study of undergraduates in three tertiary institutions. Multi-stage sampling technique was used to select 1,080 undergraduates. Data was collected using a questionnaire adapted from Global Adult Tobacco Survey and Global Youth Tobacco Survey. Bi-variate analysis was used to identify independent variables showing statistically significant association with current tobacco use. These were entered into step-wise logistic regression.

RESULTS

Their median age was 24 years (range:15-47). Prevalence of current tobacco use was 27.0%. About 58.7% smoked tobacco daily and 40.0% used smokeless tobacco daily. Commonest places where tobacco was used were off campus accommodation (30.2%), social center (30.2%) and bar or club (28.1%). Predictors of tobacco use were being a male [2.64(1.82-3.84)], married [2.33(1.49-3.70)], experiencing tobacco promotional activity [1.56(1.12-2.17)], willing to use promotional objects [2.06(1.35-3.14)], using of promotional objects [2.74(1.90-3.96)], and exposure to secondhand smoke [14.10(4.16-47.81)]. Predictors of non-use of tobacco were spending two years or less awaiting university admission [0.65 (0.46-0.91)], parents currently together [0.48(0.33-0.69)], and supporting ban on tobacco [0.34 (0.23-0.48)].

CONCLUSION

Prevalence of tobacco use and expenditure on tobacco were high. University authorities should commence programs to identify tobacco users and encourage cessation. The findings also highlight the need to establish effective tobacco surveillance system that includes students of tertiary institutions.

Predictors of nicotine dependence among adolescent waterpipe and cigarette smokers: A 6-year longitudinal analysis

OBJECTIVE

Identifying the factors associated with nicotine dependence (ND) is essential to prevent initiation and continued use, and to promote cessation among youth. This study aims to document the predictors of the appearance of initial ND symptoms and full ND syndrome among adolescent waterpipe (WP) and cigarette smokers.

METHODS

A 6-year longitudinal study was conducted among 8th and 9th graders from 38 schools in Lebanon. The analysis sample included exclusive-WP (n = 228) and exclusive-cigarette smokers (n = 139). Weighted Cox proportional hazards models were used to characterizing predictors of initial ND symptoms and full ND syndrome.

RESULTS

Predictors of experiencing initial ND symptoms among WP smokers included low maternal educational level, having a sibling who smoked WP, low physical activity, high body mass index (BMI), smoking initiation at a younger age. For cigarette smokers these were being male, younger, having lower BMI, having a sibling who smoked cigarettes, living in a crowded household, and smoking daily. Among WP smokers, predictors of developing full ND syndrome include being younger, believing that WP smokers have more friends, depression, high levels of impulsivity, and initiating smoking at a younger age. For cigarette smokers, predictors of full ND syndrome were being younger and initiating smoking at a younger age.

CONCLUSION

Smoking cessation and prevention interventions targeting youth should address modifiable, and tobacco use-specific factors that influence the development of ND among young WP and cigarette smokers. They also need to start at a younger age to target those most vulnerable to developing life-long addiction to tobacco products.

Association between health-related quality of life and sense of coherence among health professionals working in primary health centers consuming tobacco in Jaipur, India

Background:

Health-related quality of life (HRQOL) and senses of coherence (SoC) can be affected by the use of tobacco. Hence, the aim of the present study was to explore the association between HRQOL and SoC among health professionals working in primary health centers (PHCs) consuming Tobacco.

Materials and Methods:

It was a cross-sectional descriptive study where sampling technique used was systematic stratified random sampling. Jaipur District has 37 PHCs retrieved from site of NRHM Rajasthan. A close-ended questionnaire was prepared to conduct the interview.

Results:

Majority of study participants (57; 37.01%) were of 36–40 years of age. Males respondents (86; 55.85%) consuming tobacco were more in number than female respondents. Majority of study subjects (91; 59.09%) consumed smoked kind of tobacco, in which most contributed were nurses (49; 62.82%). On applying a linear regression model, it was determined that all subscale of SF-36 was significantly (P ≤ 0.000) associated with SoC.

Conclusion:

From above, it was concluded that there was a strong association between HRQOL and SoC among health professionals working in primary health centers consuming tobacco.

PhenX: Host: Biobehavioral measures for tobacco regulatory research

A working group (WG) of experts from diverse fields related to nicotine and tobacco addiction was constituted to identify constructs and measures for the PhenX (Phenotypes and eXposures) Tobacco Regulatory Research (TRR) Host: Biobehavioral Collection with potential relevance to users of both conventional and newer tobacco products. This paper describes the methods and results the WG used to identify, select, approve and place measures in the PhenX TRR Collection. The WG recognised 13 constructs of importance to guide their categorisation of measures already in the PhenX Toolkit ('complementary measures') and to identify novel or improved measures of special relevance to tobacco regulatory science. In addition to the 22 complementary measures of relevance to tobacco use already in the PhenX Toolkit, the WG identified and recommended nine additional Host: Biobehavioral measures characterising the use, exposure and health outcomes of tobacco products for application to TRR. Of these, five were self-administered or interviewer-administered measures: amount, type and frequency of recent tobacco use; flavor preference in e-cigarette users (adult and youth); pregnancy status and tobacco use; pregnancy status-mother and baby health and withdrawal from tobacco use. The remaining four measures were laboratory-based: cotinine in serum, expired carbon monoxide, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol in urine and cue reactivity. Although a number of validated tools are now available in the Host: Biobehavioral Collection, several gaps were identified, including a need to develop and test the identified measures in adolescent samples and to develop or identify measures of nicotine dependence, tolerance and withdrawal associated with newer non-combusted tobacco products.

Environmental Tobacco Exposure and Urinary Cotinine Levels in Smoking and Nonsmoking Adolescents

Objective

We aimed to evaluate the association between environmental tobacco smoke (ETS) exposure and urinary cotinine levels in current adolescent smokers and nonsmokers. The secondary objective was to explore the association between ETS exposure and nicotine dependence in adolescent smokers.

Methods

Using the results from a validation study for the 2012 Global Youth Tobacco Survey in Mexico, we quantified urinary cotinine levels in adolescent smokers and nonsmokers. We fitted a multivariate regression model to assess the association between household exposure to ETS and cotinine levels in adolescent smokers and nonsmokers. In addition, using the questionnaire's answers for morning cravings, we fitted a multivariate Poisson regression model to explore the association between household ETS exposure and nicotine dependence in adolescent smokers.

Results

For each day of household ETS exposure, cotinine levels increase by 5% in adolescent smokers compared to a 2% increase in nonsmokers, adjusting for the number of cigarettes smoked per week, age and sex (exp(β) 1.05; 95% confidence interval [CI] [1.00, 1.10]; p = .041). Morning cravings increase 11% for each day of household ETS exposure adjusting for the number of cigarettes smoked per week, age and sex (prevalence ratio [PR] 1.11; 95% CI [0.99, 1.25]; p = .064).

Conclusions

There is an association between ETS exposure and cotinine levels, and ETS may contribute to nicotine dependence in adolescent smokers. If confirmed, avoiding ETS exposure could prove helpful for addiction control and quitting in adolescents.

Implications

Evidence suggests that ETS increases cotinine levels in nonsmokers and adult smokers. However, no study has explored the association between ETS exposure and cotinine levels and addiction in adolescent smokers. This paper provides evidence of an association between ETS exposure and cotinine levels in adolescent smokers: each day of environmental tobacco smoke exposure at home increased cotinine levels by 5% among smokers. In addition, morning cravings in adolescent smokers increased 11% for every day of ETS exposure. ETS exposure is a significant source of nicotine for adolescent smokers and could play an important role in addiction.