Prevalence and Correlates of Social Smoking in Young Adults: Comparisons of Behavioral and Self-Identified Definitions

Prevalence of social anxiety disorder and its associated factors among foreign-born undergraduate students in Türkiye: A cross-sectional study

Social anxiety disorder (SAD) is prevalent among university students, yet data on its severity among foreign-born international undergraduate students in Türkiye remains limited. This study aims to determine the prevalence of SAD and its associated factors within this population. A cross-sectional study was conducted using a Google Form survey distributed across various universities from September 17, 2023, to February 1, 2024. The survey comprised two sections: sociodemographic information and 17 items of the Social Phobia Inventory (SPIN), which measures the frequency and intensity of social anxiety symptoms. Data analysis included descriptive statistics and inferential analysis, multiple regression, and binomial logistic regression. Out of 506 participants, 455 were included in the study. Results revealed that 39.1% exhibited no or very mild symptoms of SAD, while 23.7% experienced mild symptoms, 21.3% faced moderate symptoms, and 11.6% and 4.2% presented with severe to very severe symptoms, respectively. Factors such as gender (p < 0.0001), previous academic failures (p = 0.013), family history of mental health issues (p = 0.009), exercise frequency (p < 0.0001), and perceptions of relationships with classmates (p < 0.0001) were significantly associated with SAD. Females showed a higher probability of SAD compared to males (OR = 1.976). Individuals engaging in over 90 minutes of exercise per week were less likely to have SAD (OR = 0.383), and occasional smokers had a lower risk of SAD compared to non-smokers (OR = 0.422). Our study uncovered a notably elevated prevalence of Social Anxiety Disorder (SAD) among foreign-born undergraduate students in Türkiye. Factors such as being female, having a family history of mental illnesses, studying in a stressful environment, experiencing academic failure, and engaging in less frequent exercise were associated with noticeable symptoms of SAD. These findings emphasize the urgent need for heightened efforts in recognizing and addressing SAD within this population.

Social smoker identity and associations with smoking and quitting behaviour: A cross-sectional study in England

BACKGROUND

'Social smoking' typically occurs predominantly or exclusively in the presence of others who are smoking. Relatively little is known about changes in the prevalence of 'social smoking identity' over time and its association with other smoking-related correlates.

METHODS

Data were from the Smoking Toolkit Study, a nationally-representative cross-sectional survey in England. Participants were 26,774 adults who currently smoked or had quit in the past year, surveyed between February-2014 and April-2021. We estimated the proportion identifying as having a social smoking identity, changes over time, and associations with smoking in social situations, cigarette dependence, motivation to stop, quit attempts and success.

RESULTS

Of adults who currently smoked or had quit in the past year, 34.0% (95% Confidence Interval (CI)=33.5-34.6) identified as having a social smoking identity. There was a near linear increase in this proportion from 31.9% (95%CI=29.7-34.2) in February-2014 to 36.5% (95%CI=34.1-38.9) in April-2021. Adults who currenty smoked identifying as having a social smoking identity were less cigarette dependent (adjusted B=0.34, 95%CI=0.31-0.37) and more motivated to stop (aOR=1.20, 95%CI=1.15-1.26) than those who did not. Adults who currently smoked or had quit in the past year identifying as having a social smoking identity reported more smoking in social situations (aOR=6.45, 95%CI=6.13-6.80) and past-year quit attempts (aOR=1.22, 95%CI=1.14-1.30) than those who did not. Quit success was not associated with having a social smoking identity among adults who currently smoked or had quit in the past year and who had attempted to quit (aOR=0.90, 95%CI=0.79-1.02).

CONCLUSIONS

An increasing proportion, over a third, of adults who currently smoked or had quit in the past year in England identify as having a social smoking identity. Despite being associated with lower dependence, greater motivation to quit and more quit attempts, social smoking identity is not associated with greater quit success, suggesting a complex interplay between identity and smoking-related behaviours.

Socializing with Smoker and Social Smoking Behavior among Chinese Male Smokers with Low Nicotine Dependence: The Mediating Roles of Belief of Smoking Rationalization and Smoker Identity

BACKGROUND

Previous studies have shown that socializing with other smokers is an essential trigger for social smoking among smokers with a low nicotine dependence. This study further explored the mediating effects of the belief of smoking rationalization and smoker identity on the relationship between socializing with smokers and social smoking behavior.

METHODS

A cross-sectional design was conducted. A total of 696 low-nicotine-dependent smokers in China completed questionnaires that assessed socializing with smokers, social smoking behavior, smoker identity, and the belief of smoking rationalization. The mediating roles of the belief of smoking rationalization and smoker identity on the relationship between socializing with smokers and social smoking behavior were assessed by using SPSS 23 and AMOS 23.

RESULTS

The belief of smoking rationalization, smoker identity, socializing with smokers, and social smoking behavior were significantly and positively correlated with each other. In addition, this study found an independently mediated role for smoker identity in the relationship with smoker socialization and social smoking behavior, and a sequentially mediated role for smoking rationalization and smoker identity in this relationship.

CONCLUSION

Reducing the belief of smoking rationalization and smoker identity may be conducive to reducing social smoking behavior for low-nicotine-dependent smokers when socializing with other smokers.

Smoking Habits and Workplace Health Promotion among University Students in Southern Italy: A Cross-Sectional Pilot Investigation

The study aimed to investigate the tobacco smoking prevalence, habits and awareness among a cohort of healthcare students from a university hospital in southern Italy and the associations with socio-demographic determinants. A secondary outcome was to estimate the educational needs to receive information on smoking-related risk factors. Five hundred and forty-nine students completed a self-administered questionnaire (180 male and 369 female, average age 25 yo, ±5.9 SD), enrolled from October 2018 to November 2019 at the University of Naples 'Luigi Vanvitelli', and the collected data were analysed by descriptive and inferential statistical analysis. The sample's prevalence of current smokers was 25.3%, without a significant sex difference. The multiple logistic regression model showed the link between smoking habits and alcoholic beverage consumption (p < 0.001) and living with smokers (p = 0.003). The enrolled cohort does not seem to need more information about the risks of cigarette smoking (p = 0.028). The data analysis and the comparison with the current literature allowed the authors to hypothesise a training model to be adopted within a workplace health promotion programme managed by an occupational physician. This model included targeted training for smoking dissuasion, focusing on sex and gender, cohabitant's influence, and combined addiction management. Further research will focus on the effectiveness of these proposed models.

Examination of social smoking classifications using a machine learning approach

INTRODUCTION

Idiosyncratic definitions of social smoking proliferate in the literature, making cross-study comparison challenging. This project investigated and differentiated four distinct classifications of social smoking using traditional modeling techniques as well as a multilayer perceptron artificial network, a novel machine learning approach suited for heterogeneous, multidimensional data.

METHODS

One hundred thirty-three adults recruited from a college in the Pacific Northwest and from Amazon Mechanical Turk, age 18 to 25 (48% men; 37% women; 8% nonbinary; 73% white; 24% Hispanic or Latinx), completed a set of self-report measures assessing common variables associated with cigarette use. Participants also completed a well-validated audio simulation (Smoking-Simulated Intoxication Digital Elicitation) depicting social smoking contexts and reported their willingness to use cigarettes or alcohol in these contexts.

RESULTS

Across three of the four social smoking definitions, social smokers consistently scored lower on measures of dependence, frequency, quantity, willingness to smoke, and all use motives than nonsocial smokers. The area under the curve for all four models ranged from excellent to outstanding discrimination within the training set. Frequency of days smoked in the past month was the most important predictor for three of the classification models with a relative importance of 100%.

CONCLUSION

The social smoking definitions demonstrated great variability across common cigarette use variables between groups, except for one. The machine learning approach successfully differentiated all four classifications. Recommendations are made for which social smoker classifications to use in subsequent research to maximize appropriate endorsement by the target population.

In Lieu of Smoking: Are Smokers More Likely to Enact Certain Types of Implementation Intention Plans During a JIT Smoking Cessation?

BACKGROUND

To identify actionable and effective implementation intention (II) plans, we examined whether (a) IIs suggesting food or nicotine-based substitution strategies to help quit smoking cigarettes would be more likely to be enacted in real time, (b) IIs reminding participants to cognitively motivate themselves or engage in solitary activity would be more likely to be enacted than those suggesting seeking social support, and (c) II plan enactment based on the above strategies would be associated with reporting momentary lapse avoidance.

METHOD

A sample of 57 Asian American young adult (18-25 years) smokers participated in a 4-week, mobile-based smoking cessation intervention, implemented in a Just-In-Time framework. User-specified IIs were categorized into nature of activity (cognitively motivate themselves, engage in solitary activity, seek social support) and type of substitution strategy (food, nicotine, no substitution). Outcome variable was momentary enactment of the given II. Generalized mixed linear models were used for analyses.

RESULTS

IIs reminding participants to cognitively motivate themselves and/or engage in solitary activities were more likely to be enacted than IIs recommending seeking social support. IIs recommending nicotine-based substitution were more likely to be enacted than IIs that did not specify any substitution. IIs suggesting food-based substitution, however, were less likely to be enacted than those not suggesting a specific substitution. II plan enactment based on the above strategies was significantly associated with avoiding momentary lapses compared to when momentary lapses occurred.

CONCLUSION

Specifying II recommendations found to be helpful with avoiding lapses in a smoking cessation context, can increase chances of II enactment, and improve overall health intervention outcomes.

Motivation to Quit Drinking in Individuals Coinfected with HIV and Hepatitis C

Alcohol consumption is common among individuals coinfected with HIV and hepatitis C (HCV) despite the uniquely harmful effects in this population. Limited research has examined factors that could influence drinking reduction or cessation among HIV/HCV coinfected persons; this study investigates motivation to quit. Participants were 110 alcohol-consuming HIV/HCV coinfected patients recruited from medical clinics. Participants self-reported 90-day drinking frequency and intensity; alcohol-related problems; reasons to quit drinking; reasons to drink; and motivation to quit drinking. Participants consumed alcohol on 54.1 (± 26.9) of the past 90 days. In a multivariate model that controlled for demographic variables, motivation to quit drinking was directly associated with alcohol-related problems (β_y·x = 0.35, p = .007) and reasons to quit drinking (β_y·x = 0.23, p = .021), and inversely associated with drinking for enhancement (β_y·x = - 0.36, p = .004). This study identified several factors associated with motivation to quit drinking in a sample of alcohol-consuming HIV/HCV patients.

Smoking Trajectory Classes and Impact of Social Smoking Identity in Two Cohorts of U.S. Young Adults

This study describes cigarette smoking trajectories, the influence of social smoker self-identification (SSID), and correlates of these trajectories in two cohorts of U.S. young adults: a sample from the Chicago metropolitan area (Social Emotional Contexts of Adolescent and Young Adult Smoking Patterns [SECAP], n = 893) and a national sample (Truth Initiative Young Adult Cohort Study [YA Cohort], n = 1,491). Using latent class growth analyses and growth mixture models, five smoking trajectories were identified in each sample: in SECAP: nonsmoking (n = 658, 73.7%), declining smoking (n = 20, 2.2%), moderate/stable smoking (n = 114, 12.8%), high/stable smoking (n = 79, 8.9%), and escalating smoking (n = 22, 2.5%); and in YA Cohort: nonsmoking (n = 1,215, 81.5%), slowly declining smoking (n = 52, 3.5%), rapidly declining smoking (n = 50, 3.4%), stable smoking (n = 139, 9%), and escalating smoking (n = 35, 2.4%). SSID was most prevalent in moderate/stable smoking (35.5% SECAP), rapidly declining smoking (25.2% YA Cohort), and nonsmoking. Understanding nuances of how smoking identity is formed and used to limit or facilitate smoking behavior in young adults will allow for more effective interventions to reduce tobacco use.

Exposure to second-hand smoke in the context of tobacco policy changes in Estonia, 1996-2016

BACKGROUND

Exposure to second-hand smoke (SHS) is a preventable cause of disease and disability that can effectively be tackled by tobacco legislation. The aim of the study was to analyse the trends of SHS exposure and its sociodemographic patterning during 1996-2016 in the context of tobacco policy changes in Estonia.

METHODS

Nationally representative data from biennial health surveys in 1996-2016 (n = 14 629) were used to present prevalence ratios for SHS exposure among non-smokers in Estonia. Joinpoint regression and multivariable logistic regression were used to study the sociodemographic and socio-economic differences in SHS exposure and its changes during the period.

RESULTS

Exposure to SHS among non-smoking men and women has declined 3.6 and 5 times, respectively, during 1996-2016. While the rate of change was constant among men throughout the period, the decline in SHS exposure among women became significantly faster after 2006 compared with the previous period. However, 15.6% [95% confidence interval (CI) 13.1-18.3%] of men and 8.8% (95% CI 7.1-10.6%) of women were still exposed to SHS in 2016 with higher odds found for younger age groups, non-Estonians and those with lower education and income.

CONCLUSIONS

The consistently declining prevalence of SHS exposure among non-smoking population can be at least partially attributed to implementation of tobacco legislations in 2000s. However, the existing sociodemographic and socio-economic differences in SHS exposure require further attention as those in more vulnerable positions are also more exposed to SHS-related health harms.

Sexual and gender minority young adults' smoking characteristics: Assessing differences by sexual orientation and gender identity

INTRODUCTION

Sexual and gender minority (SGM) young adults have higher smoking prevalence than their non-SGM peers. Less is known about differences in smoking characteristics within the SGM community.

METHODS

Participants were SGM young adult smokers age 18-25 (N = 165, M age = 21.8) enrolled in a clinical trial of the Put It Out Project, a Facebook smoking cessation intervention for SGM young adults. Analyses tested differences between 1) sexual orientation groups, and 2) gender identity groups, on the following smoking characteristics: cigarettes/day, daily smoker (yes/no), social smoker (yes/no), years of smoking, number of close friends who smoke (out of 5), age of initiation, age began smoking regularly, time to first cigarette (30 min or less/>30 min), lifetime quit attempts, past-year quit attempts, and stage of change for quitting smoking (precontemplation, contemplation, preparation).

RESULTS

Participants were 56% bi/pansexual, 18% gay, 18% lesbian, 8% other (e.g., asexual, queer). The gender identity of the sample was 52% cisgender, 18% transgender, 30% gender non-binary. Lesbian women began smoking at an older age (M = 18.0, SD = 2.0) than "other" sexual orientation participants (M = 15.7, SD = 2.2), p < .05. Transgender participants smoked the most cigarettes per day (M = 11.3, SD = 6.7), followed by cisgender (M = 8.1, SD = 5.6), then non-binary (M = 5.7, SD = 3.5) participants (p < .001; pairwise comparisons p's < 0.05). No other constructs differed by sexual orientation or gender.

CONCLUSIONS

Smoking characteristics were mostly similar across subgroups of young adult SGM smokers; however, transgender individuals were heavier smokers.

Factors Related to Smoking Status Among Young Adults: An Analysis of Younger and Older Young Adults in Korea

Objectives

Young adulthood represents a critical developmental period during which the use of tobacco may begin or cease. Furthermore, differences in smoking behaviors between younger (aged 18-24 years) and older (aged 25-34 years) young adults may exist. This study aimed to characterize patterns related to current smoking in younger and older young adults.

Methods

This study used data acquired from the Sixth Korea National Health and Nutrition Examination Survey conducted from 2013 to 2014. A total of 2069 subjects were categorized as younger (712 subjects) and older (1357 subjects) young adults. The chi-square test was used to assess the relationships between smoking status and socio-demographic, health-related, and smoking-related factors. Multivariable logistic regression models were constructed to assess the factors affecting current smoking in these age groups.

Results

The current smoking prevalence was 18.3% among the younger young adults and 26.0% among the older young adults. Sex, education level, occupation, perceived health status, alcohol consumption, and electronic cigarette use were related to current smoking in both age groups. Secondhand smoke exposure at home and stress levels showed significant relationships with smoking in younger and older young adults, respectively.

Conclusions

Strong correlations were found between the observed variables and smoking behaviors among young adults. Determining the factors affecting smoking and designing interventions based on these factors are essential for smoking cessation in young adults.

Co-occurring vulnerabilities and menthol use in U.S. young adult cigarette smokers: Findings from Wave 1 of the PATH Study, 2013-2014

This study incorporates intersectionality theory to address potential effects of age on other documented risk factors for current smoking and menthol cigarette use in young adults aged 18-34 using Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study (2013-2014). We explored known correlates of current cigarette and menthol cigarette smoking and interaction analyses by age group (18-24 vs. 25-34), accounting for survey weighting. Use of non-cigarette tobacco products and e-cigarettes was characterized among current cigarette smokers. Young adults experience multiple vulnerabilities to smoking beyond age and some of these known risk factors for smoking place those aged 18-24 at different risk of cigarette smoking compared to their 25-34 year old counterparts. These include lower odds of cigarette smoking by age for sex (female; AOR = 0.62 in those aged 18-24 vs. 0.72 in those aged 25-34) and Hispanic ethnicity (vs. White; AOR = 0.77 vs. 0.45), and higher odds of smoking among past 30-day alcohol users aged 18-24 vs. 25-34 (AOR = 1.62 vs. 1.32). Correlations between lower education and smoking were nearly two-fold higher in 25-34 than 18-24 year olds. Having any medical comorbidity had opposite effects on current smoking by age (18-24 positive correlation, AOR = 1.17; 25-34 negative correlation, AOR = 0.84). Lower education was correlated with menthol cigarette use among young adult smokers. This study suggests that higher smoking prevalence among young adults is associated with the intersection of multiple vulnerabilities to smoking.

Using Facebook to address smoking and heavy drinking in young adults: Protocol for a randomized, controlled trial

INTRODUCTION

Tobacco and alcohol often are used simultaneously by young adults, and their co-use is associated with greater health consequences than from single use. Social media platforms offer low cost and highly accessible channels to reach and engage young people in substance use interventions. The current trial seeks to compare the Facebook Tobacco Status Project (TSP) smoking cessation intervention to an intervention targeting both tobacco use and heavy episodic drinking (TSP + ALC) among young adults who use both substances.

METHODS

This randomized clinical trial will evaluate the feasibility and initial efficacy of TSP + ALC compared to TSP with 225 US young adult smokers reporting heavy drinking. Participants will be recruited online and randomized to one of two conditions (TSP or TSP + ALC), both with assignment to a Facebook group tailored to readiness to quit smoking. Groups will receive a 90-day intervention including daily Facebook postings and weekly live counseling sessions. The TSP + ALC group will include content related to alcohol use. All participants will be offered a 2-week introductory supply of nicotine patch. Participants will complete baseline, 3-, 6-, and 12-month online assessments of substance use and other health risk behaviors. The primary efficacy outcome is biochemically-verified 7-day point prevalence abstinence. Secondary outcomes include alcohol and tobacco use, combined use, and thoughts about each substance.

DISCUSSION

This trial examines an innovative and scalable approach to engaging young adults online in tobacco and alcohol use treatment. Study findings will inform digital health interventions and best practices for treating multiple substance use in young adults.

Identifying "social smoking" U.S. young adults using an empirically-driven approach

The phenomenon of "social smoking" emerged in the past decade as an important area of research, largely due to its high prevalence in young adults. The purpose of this study was to identify classes of young adult ever smokers based on measures of social and contextual influences on tobacco use. Latent class models were developed using social smoking measures, and not the frequency or quantity of tobacco use. Data come from a national sample of young adult ever smokers aged 18-24 (Truth Initiative Young Adult Cohort Study, N=1564). The optimal models identified three latent classes: Class 1 - nonsmokers (52%); Class 2 - social smokers (18%); and Class 3 - smokers (30%). Nearly 60% of the "social smoker" class self-identified as a social smoker, 30% as an ex-smoker/tried smoking, and 12% as a non-smoker. The "social smoker" class was most likely to report using tobacco mainly or only with others. Past 30-day cigarette use was highest in the "smoker" class. Hookah use was highest in the "social smoker" class. Other tobacco and e-cigarette use was similar in the "social smoker" and "smoker" classes. Past 30-day tobacco and e-cigarette use was present for all products in the "non-smoker" class. Young adult social smokers emerge empirically as a sizable, distinct class from other smokers, even without accounting for tobacco use frequency or intensity. The prevalence of hookah use in "social smokers" indicates a group for which the social aspect of tobacco use could drive experimentation and progression to regular use.

Associations between binge drinking frequency and tobacco use among young adults

Tobacco use is greater among young adults who binge drink; yet there is limited research on tobacco use characteristics among different types of binge drinkers based on frequency. We aimed to characterize this relationship among young adults (18-25years old) who used both substances in the past month (smoked ≥1 cigarette, and drank ≥1 alcoholic beverage) using an anonymous online survey. Participants (N=1405, 65.0% male) were grouped based on binge drinking frequency and compared for tobacco use characteristics and demographics using bivariate analyses and multinomial logistic regression. Binge drinking frequency groups were: non-binge drinkers who consumed alcohol (0days; 27.5%); occasional (1-3days; 37.9%); intermediate (4-8days; 21.9%); and frequent (9+days; 12.7%) binge drinkers. Comparing each binge drinking group to non-binge drinkers: Both occasional and frequent binge drinkers smoked more cigarettes per day (p=0.001; p=0.002); frequent binge drinkers reported greater temptations to smoke in positive affective/social situations (p=0.02); intermediate binge drinkers were less likely to have a tobacco abstinence goal (p=0.03) but more likely to have made a serious tobacco quit attempt; all of the binge groups were more likely to be social smokers (all p<0.01). Overall, we also found a high rate of smoking on binge drinking days. Individuals smoked cigarettes on 85.7%±32.9% of days they binge drank. Extent of binge drinking (not just prevalence) is an important factor influencing smoking characteristics in young adults.

Cigarette Smoking Among Socioeconomically Disadvantaged Young Adults in Association With Food Insecurity and Other Factors

INTRODUCTION

Low socioeconomic status is associated with high rates of cigarette smoking, and socioeconomic differences in cigarette smoking tend to emerge during young adulthood. To further our understanding of socioeconomic differences in smoking among young adults, we examined correlates of smoking, with attention to multiple socioeconomic indicators that have not been examined in this population.

METHODS

We analyzed data from the 2011-2012 California Health Interview Survey. The analytic sample consisted of young adults aged 18-30 years who were considered socioeconomically disadvantaged as measured by education and poverty. Logistic regression analyses were conducted to examine factors associated with smoking status in this group, and multinomial logistic regression analyses were conducted to examine correlates of smoking frequency.

RESULTS

In this sample (N = 1,511; 48% female, 66% Hispanic/Latino, 18% non-Hispanic white), 39.7% reported experiencing food insecurity in the past year. Smoking prevalence was significantly higher among young adults who reported being food insecure (26.9%) than among those who reported being food secure (16.4%). Past-year food insecurity was significantly associated with current smoking, independent of sociodemographic characteristics and alcohol use. Specifically, food insecurity was significantly associated with daily but not nondaily smoking.

CONCLUSION

Socioeconomically disadvantaged young adults with food insecurity may be considered a high-risk group with respect to cigarette smoking. Efforts to reduce tobacco-related health disparities should address diverse sources of socioeconomic influences, including experiences of food insecurity.

Social smoking among intermittent smokers

BACKGROUND

"Social smoking" - smoking mostly or even only with others - may be an important pattern that implies smoking motivated extrinsically by social influences. Non-daily smokers (intermittent smokers; ITS) are often assumed to be social smokers, with some authors even assuming that all ITS are social smokers (SS+). We sought to identify and characterize social smokers in a sample of ITS.

METHODS

204 adult ITS (smoking 4-27 days/month) recorded the circumstances of smoking in their natural settings using Ecological Momentary Assessment, while also recording their circumstances in nonsmoking moments. SS+ were defined as ITS who were with others when they smoked most of their cigarettes, and who were ≥50% more likely to be with others when smoking than when not.

RESULTS

Only 13% of ITS were SS+. Although defined solely on the basis of presence of others, SS+ showed a distinct pattern of smoking across multiple dimensions: compared to other ITS (who were significantly less likely to smoke when with others), SS+ smoking was more associated with socializing, being with friends and acquaintances, drinking alcohol, weekends, evening or nighttime, being in other people's homes, but not their own home. SS+ smoking was low in the morning and increased in the evening. SS+ smoked fewer days/week and were less dependent, but did not differ demographically.

CONCLUSIONS

Social smoking does constitute a highly distinct smoking pattern, but is not common among adult ITS.