Odds Of Current Cigarette Smoking Research Articles

Association of time spent on social media with youth cigarette smoking and e-cigarette use in the UK: a national longitudinal study

BackgroundSocial media may influence children and young people’s health behaviour, including cigarette and e-cigarette use.MethodsWe analysed data from participants aged 10–25 years in the UK Household Longitudinal Study 2015–2021. The...

Associations of weight control related behaviors with current cigarette smoking among Chinese adolescents: Results from an ongoing school-based survey in Zhejiang province.

Previous studies have suggested that adolescents may smoke cigarettes to control weight, but relevant research is scarce in Chinese youth. This study was conducted to examine the associations of weight control related behaviors with cigarette smoking in Chinese students. This was a secondary analysis of data for 24835 middle and high school students drawn from the 2022 Zhejiang Youth Risk Behavior Survey of China which collected self-reported information of cigarette smoking, weight control strategies and other health-related behaviors. Multivariable logistic regression models were used to estimate the adjusted odds ratios (AORs) with 95% confidence intervals (CIs) for the study associations. Overall, there were 998 (4.02%) current cigarette smokers in this wave of the Zhejiang YRBS (2022). Neither trying to control weight nor healthy weight control behavior of exercising was associated with current cigarette smoking (AOR=1.15; 95% CI: 0.97-1.37 and AOR=1.01; 95% CI: 0.85-1.20, respectively). Meanwhile, unhealthy weight control behaviors of taking laxatives (AOR=1.52; 95% CI: 1.03-2.26), taking diet pills (AOR=1.82; 95% CI: 1.26-2.62), dieting (AOR=1.24; 95% CI: 1.04-1.49), and fasting (AOR=1.81; 95% CI: 1.40-2.34) were significantly associated with increased odds of current cigarette smoking. Screening and developing interventions for unhealthy weight control behaviors should be considered as part of smoking prevention programs among adolescents.

Estimating the impact of state cigarette tax rates on smoking behavior: Addressing endogeneity using a natural experiment

IntroductionCigarette excise taxes are a well-established policy lever for reducing tobacco use. However, estimating the effect of taxes on smoking behavior can be confounded by endogeneity concerns such as selection. This study leverages a unique natural experiment –compulsory relocation of U.S. military service members to installations – to estimate the relationship between state cigarette taxes and smoking behavior without concerns about selection into environments. MethodsThe current study uses data from the Department of Defense’s 2011 Health-Related Behaviors Survey and 2011 state cigarette excise taxes from the CDC STATE System. Logistic and Poisson regression analyses estimate the cross-sectional associations between state cigarette excise taxes and the following smoking behaviors: current cigarette smoking, frequency of smoking, heaviness of consumption, and cigarette cessation among individuals who smoked while at the current installation. ResultsHigher taxes are associated with lower odds of current cigarette smoking (AOR = 0.94; 95 % CI: 0.89−0.98), fewer smoking days per month among current cigarette smokers (IRR = 0.98, 95 % CI 0.97−0.996), and higher likelihood of quitting smoking among individuals who had smoked at their current installation (AOR = 1.14, 95 % CI 1.05–1.25). Taxes are not associated with the number of cigarettes smoked per day among current smokers. ConclusionsExogenous assignment to installations in states with higher cigarette taxes is associated with lower likelihood of smoking and greater likelihood of quitting. Findings provide novel evidence in support of a causal impact of cigarette taxes on lower smoking levels among adults.

The Cigarette Smoking Initiation and Continuation in Adolescents Undergoing a Long-Term Behavioral Intervention.

Targeting adolescents' smoking reduces its burden on health systems. We investigated the effects of the first multidisciplinary community-based lifestyle intervention in the Eastern Mediterranean region, on smoking initiation, continuation, and risk of current smoking in Iranian adolescents. The current analyses were conducted on 945 nonsmoker adolescents (12-18 years) who participated in Phase II of Tehran Lipid and Glucose Study (TLGS) and were examined four times in 12 years. The lifestyle intervention including school-based and public programs was implemented, focusing on all components of healthy lifestyle. Using a two-step cluster analysis, families were classified as high and low risk, based on parental risk factors of adolescents' smoking. Participants who failed to complete all the follow-ups (n = 99) and those with missing smoking data were excluded. Subsequently, 872 adolescents (538 control, 334 intervention) were included in the Cox model on smoking initiation, and 674 adolescents (414 control, 260 intervention) were included in the logistic regression on smoking status. Mean age of adolescents was 15.08 ± 1.94 years at baseline. The hazard of the smoking initiation was significantly lower in the intervention (hazard ratio = 0.71, 95% confidence interval: 0.51-0.99; p = .044) compared with control group. At the end of the fourth follow-up, intervention reduced the odds of current cigarette smoking by 29%. Within the intervention group, the high-risk cluster was at a 35% lower risk of initiating smoking and had 37% lower odds of becoming a current smoker. However, the intervention could not make a difference in preventing those who initiated smoking from maintaining it during the follow-ups. Our results demonstrate that lifestyle modification programs targeting at-risk populations could reduce risk of smoking initiation and current smoking in adolescents in long term. Experiencing cigarette smoking at the critical period of adolescence could result in adulthood habitual smoking. Therefore, identifying adolescents who are more at risk of smoking initiation and implementing targeted interventions are of great importance in public health. Our findings highlight the long-term effectiveness of a multidisciplinary community-based behavioral intervention on forming smoking behaviors in adolescents. The current intervention was successful in reducing smoking uptake in adolescents living in high-risk families.

Use of Cigarettes and E-Cigarettes/Vaping Among Transgender People: Results From the 2015 U.S. Transgender Survey

This study examines the demographic characteristics, transgender-specific factors, and discrimination experiences associated with current cigarette smoking, e-cigarette use/vaping, and dual use in a large sample of transgender people. This was a secondary analysis of the 2015 U.S. Transgender Survey (n=27,715). Conducted in 2019, logistic regression models were used to estimate the AORs and 95% CIs of current smoking, e-cigarette use/vaping, and dual use among transgender people. Overall, 23.6% of respondents used cigarettes, 9.3% used e-cigarettes/vaping products, and 5.2% reported dual use within the past 30 days. Visually nonconforming individuals had greater odds (cigarettes: AOR=1.49, 95% CI=1.35, 1.65; e-cigarettes/vaping: AOR=1.43, 95% CI=1.25, 1.65; dual use: AOR=1.81, 95% CI=1.52, 2.15) than visually conforming individuals. Transgender people who had disclosed their transgender identity to their social networks had greater odds of cigarette smoking (AOR=1.30, 95% CI=1.17, 1.45), e-cigarette use/vaping (AOR=1.30, 95% CI=1.12, 1.52), and dual use (AOR=1.95, 95% CI=1.61, 2.35) than individuals who were out to none or some people within their networks. Experiencing discrimination (i.e., unequal treatment, verbal harassment, or physical assault) significantly increased the odds for cigarette smoking, e-cigarette use/vaping, and dual use. Transgender people who experienced all 3 types of discrimination had 2 times greater odds of current cigarette smoking (AOR=2.06, 95% CI=1.79, 2.37) and dual use (AOR=2.17, 95% CI=1.73, 2.74) than those who had not experienced discrimination. Discrimination, visual nonconformity, and being out as transgender increased the odds of cigarette smoking, e-cigarette use/vaping, and dual use. This study informs disease prevention efforts for transgender populations with increased risks for these health behaviors.

Socioeconomic Status and Current Cigarette Smoking Status: Immigrants’ Diminished Returns

Although socioeconomic status (SES) resources influence population and individual health behaviors, socially marginalized groups gain significantly less health from their SES indicators, such as education and income, compared to the socially privileged groups. This pattern is called marginalization-related diminished returns (MDRs). However, most of the MDRs literature is derived from studies that have defined marginalization based on race and ethnicity. As a result, more research is needed on MDRs due to immigration. To extend what is known about MDRs due to immigration, the current study compared a national sample of immigrants and non-immigrants for the effects of education and income on current cigarette smoking of adults in the United States. This is a cross-sectional study. The 2015 National Health Interview Survey (NHIS) enrolled 14,149 individuals who were either immigrants (n=1977; 14.0%) or non-immigrants (n=12,166; 86.0%). The independent variables (IV) were education and income that were treated as categorical variables. The dependent variable was current cigarette smoking. Age, gender, race, ethnicity, marital status, employment, and region were confounders. Immigration was the moderator. Logistic regression was used for data analysis. High education and income were associated with lower odds of current cigarette smoking. However, immigration showed significant statistical interactions with both education and income. These interactions were suggestive of smaller protective effects of high education and income on current cigarette smoking for immigrant than non-immigrant adults. In line with the MDRs, the effects of education and income on tobacco use is weaker for immigrant than non-immigrant adults.

The prevalence and associated factors of cigarette smoking and its association with opium use among outpatients in Afghanistan: A cross-sectional study in Andkhoy city.

ABSTRACTPurpose:The objectives of this study were to estimate the prevalence and associated factors of cigarette smoking and the association between cigarette smoking and opium use among patients visiting an outpatient clinic in Afghanistan.Methods:A cross-sectional study was conducted on consecutive patients aged 18 years and older from January 2018 to April 2018. Data on patients’ sociodemographic characteristics and clinical variables were collected using an interview-based survey.Results:Six hundred and twenty-two patients (391males vs. 231 females) were interviewed for this study. The overall prevalence of current smoking was 50.2% (95% confidence interval [CI]: 46.2–54.2). Males were (odds ratio [OR] = 9.5; 95% CI: 5.3–17.1) more likely to smoke cigarettes than females. The odds of current cigarette smoking increased with having a family member smoker or a friend smoker (OR =3.3; 95% CI: 2.0–5.3). Cigarette smoking was significantly associated with the level of education (illiterate OR = 8.9; 95% CI: 4.0–19.8), primary/private education (OR = 7.8; 95% CI: 3.9–15.6), and secondary education (OR = 4.4; 95% CI: 2.3–8.4), with high school or higher education as the reference group. Rural residents were 3.7 times (95% CI: 2.3–6.2) more likely to smoke cigarette than urban residents. Opium users were 23.0 times (95% CI: 12.5–42.3) more likely to smoke cigarettes than non-opium users.Conclusions:The prevalence of cigarette smoking among patients visiting an outpatient clinic in Afghanistan was high, and there was an association between cigarette smoking and male gender, a family history of smoking or a friend history of smoking, level of education, rural residency, and opium consumption.

Higher smoking prevalence among United States adults with co-occurring affective and drug use diagnoses

IntroductionIndividuals with drug use disorders or affective disorders have higher cigarette smoking prevalence and smoking intensity and are less likely to quit than the general population. We sought to estimate the prevalence of cigarette smoking by drug use and psychiatric diagnoses and to explore to what extent a co-occurring diagnosis was associated with current smoking. MethodsData were derived from the most recent National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III, 2012–2013; n = 36,309). Cigarette smoking status was examined among those with any past-year or lifetime drug use disorders (i.e., alcohol, cannabis, opioid, cocaine) or affective disorders (i.e., mood, anxiety). Diagnoses were assessed using the Diagnostic and Statistical Manual of Mental Disorders criteria (DSM-5). ResultsAdjusting for sociodemographic characteristics, those with drug use disorders (past-year AOR = 3.3, 95% CI: 3.0, 3.6; lifetime AOR = 3.2, 95% CI: 3.0, 3.5) and those with affective disorders (past-year AOR = 1.7; 95%CI: 1.5, 1.8, lifetime AOR = 1.3, 95% CI: 1.2; 1.4), had higher odds of current cigarette smoking compared to individuals with no diagnosis. The odds of current cigarette smoking was significantly higher in individuals with both drug use disorders and affective disorders compared to those with either a drug use or affective disorder or no disorder (past-year AOR = 5.1; 95% CI: 4.3, 5.9, lifetime AOR = 4.3; 95% CI: 3.8, 4.7). ConclusionsApproximately 30% of the population had a past-year drug use or affective disorder, 17% of whom report both. The combination of both diagnoses produced a 1.5 to 3-fold higher correlation with smoking than either alone.

Examining the high rate of cigarette smoking among adults with a GED

ObjectivesWe seek to identify characteristics of GED holders that explain their very high smoking rates compared with high school (HS) graduates. MethodsWe pooled data from the 2006–2014 National Health Interview Surveys (NHIS) for adults aged 25 and older (n=235,031) to describe cigarette smoking behaviors and smoking history for adults in six education categories, with a focus on comparing GED holders to HS graduates. Logistic regression was used to predict the odds of current cigarette smoking and successful quitting, accounting for demographic, employment, family/sociocultural, mental health, and other potential confounders. ResultsThe smoking rate among adults with a GED (44.1%) was more than five times the rate for those with a college degree (8.3%) and almost twice the rate of adults whose highest level of education was a high school diploma (23.6%). GED holders were also more likely to have started smoking before the age of 15 (32.2%) compared with HS graduates (12.2%) (p<0.001). Even after controlling for 23 socio-demographic and health characteristics, GED holders retained significantly higher odds of current smoking compared to HS graduates (OR=1.73; 95% CI: 1.56, 1.93) and significantly lower odds of successful quitting (OR=0.83, 95% CI: 0.73, 0.94). ConclusionsGED holders had greater odds of being a current cigarette smoker, regardless of other characteristics that usually explain smoking. Earlier smoking initiation among GED holders, in combination with lower odds of quitting, contributed to their higher current smoking rate.

The relationship between proximity of tobacco retail outlets to schools and tobacco use among school personnel in sub-Saharan Africa

BackgroundWe investigated the impact of proximity of tobacco retail outlets to schools on tobacco-related behavior and attitudes of school personnel in sub-Saharan Africa. MethodsA pooled analysis of the 2006–2011 Global School Personnel Surveys from 19 sub-Saharan African countries was performed (n=12,201). Multivariate logistic regression analyses were applied to measure the relationship between proximity of tobacco outlets to school premises and school personnel's tobacco-related behavior and attitudes (p<0.05). ResultsAmong all school personnel, there was a significant association between the presence of tobacco outlets on school premises and current cigarette smoking (adjusted odds ratio [aOR]=3.89; 95% confidence interval [CI]: 2.17–7.20), current smokeless tobacco use (aOR=2.63; 95%CI: 1.04–6.65), and permissiveness towards tobacco industry sponsorship activities in school (aOR=2.27; 95%CI: 1.37–3.78). Complete smoke-free school policies were associated with lower odds of current cigarette smoking (aOR=0.42; 95%CI: 0.23–0.74), but were not significantly associated with current smokeless tobacco use. Among lifetime any tobacco users, there was a significant association between the presence of tobacco outlets on school premises and use of combustible (aOR=2.03; 95%CI: 1.09–3.75) and smokeless (aOR=3.85; 95%CI: 1.51–9.81) tobacco products on campus within the past year. ConclusionsPolicies limiting the distance of tobacco outlets from schools, coupled with complete tobacco-free school policies may reduce tobacco use among school personnel.

Prevalence and sociodemographic determinants of tobacco use among adults in Pakistan: findings of a nationwide survey conducted in 2012.

BackgroundSmoking is one of the leading causes of preventable mortality. The World Health Organization recommends that countries should monitor tobacco use regularly. In Pakistan, the last national study on smoking in the general population was conducted in 2002 to 2003.MethodsWe conducted a cross-sectional survey of a nationally representative sample of men and women living in rural and urban areas of four main provinces of Pakistan from March through April 2012. Face-to-face in-house interviews were undertaken using a pre-tested structured questionnaire that asked about smoking and other forms of tobacco use. Multistage stratified random area probability sampling was used. To determine the national prevalence of tobacco use, the sample was weighted to correspond to rural–urban population proportions in each of the four provinces as in the 1998 census conducted by Pakistan’s Population Census Organization. Associations between sociodemographic variables and tobacco use were investigated using multivariable robust regression.ResultsOut of 2,644 respondents (1,354 men and 1,290 women), 354 men and 4 women reported being current cigarette smokers. The weighted prevalence of current cigarette smoking was 15.2% (95% confidence interval [CI]; 11.2, 19.3) overall, 26.6% (95% CI: 19.1, 34.1) among males, and 0.4% (95% CI: -0.2, 1.0) among females. Among females, 1.8% (95% CI: 0.4, 3.1) used any smoked tobacco and 4.6% (95% CI: 1.8, 7.4) used any smokeless tobacco daily or on some days of the week. Among males, odds of current cigarette smoking decreased with increasing level of education (OR = 0.75; 95% CI: 0.68, 0.84) and increased with having a father who used tobacco (OR = 2.11; 95% CI: 1.39, 3.22) after adjusting for other sociodemographic characteristics. Lower household income was associated with current cigarette smoking among rural males only (odds ratio [OR] = 0.67; 95% CI: 0.48, 0.92 per category increase in monthly household income).ConclusionA large proportion of males smoked cigarettes. Cigarette use was negligible among females, but they used other forms of tobacco. Low education was a determinant of cigarette smoking among males irrespective of socioeconomic status and area of residence. Tobacco control campaigns should target uneducated and rural poor men and monitor all forms of tobacco used by the population.