Frequency Of Cigarette Smoking Research Articles

Living arrangements and health-related lifestyle among Taiwanese college students

Objective This study differentiated various living arrangements (ie living with two biological parents, living with one biological parent, living with friends, living in a dorm, and other) and examined its relationship with health-related lifestyles as well as the moderating role of gender differences. Methods: This study used data from the Taiwan Youth Project, a large-scale, longitudinal survey of Taiwanese youths. The data of 2313 sophomore college students who provided full information were analyzed. Regressions were used to examine the association between living arrangements and cigarette smoking, alcohol use, drug use, and physical exercise. Results: Compared to students living with two parents, students living with one parent reported a higher frequency of current cigarette smoking and alcohol use, and students living with friends/alone reported a higher frequency of current alcohol use. The associations between living arrangements and health-related lifestyle, including cigarette smoking, alcohol use, and exercise, varied by gender among college students. Conclusions: Both living in a dorm and living with two biological parents increase healthy lifestyles among Taiwanese college students.

Alcohol consumption, cigarette smoking and cancer of unknown primary risk: Results from the Netherlands Cohort Study.

Cancer of unknown primary (CUP) is a metastasised malignancy with no identifiable primary tumour origin. Despite the frequent occurrence and bleak prognosis of CUP, research into its aetiology is scarce. Our study investigates alcohol consumption, tobacco smoking and CUP risk. We used data from the Netherlands Cohort Study, a cohort that includes 120 852 participants aged 55 to 69 years, who completed a self‐administered questionnaire on cancer risk factors at baseline. Cancer follow‐up was established through record linkage to the Netherlands Cancer Registry and Dutch Pathology Registry. After 20.3 years of follow‐up, 963 CUP cases and 4288 subcohort members were available for case‐cohort analyses. Multivariable‐adjusted hazard ratios (HRs) were calculated using proportional hazard models. In general, CUP risk increased with higher levels of alcohol intake (P trend = .02). The association was more pronounced in participants who drank ≥30 g of ethanol per day (HR: 1.57, 95% confidence interval [CI]: 1.20‐2.05) compared to abstainers. Current smokers were at an increased CUP risk (HR: 1.59, 95% CI: 1.29‐1.97) compared to never smokers. We observed that the more the cigarettes or the longer a participant smoked, the higher the CUP risk was (P trend = .003 and P trend = .02, respectively). Interaction on additive scale was found for participants with the highest exposure categories of alcohol consumption and cigarette smoking frequency and CUP risk. Our findings demonstrate that alcohol consumption and cigarette smoking are associated with increased CUP risk. Lifestyle recommendations for cancer prevention regarding not drinking alcohol and avoiding exposure to smoking are therefore also valid for CUP.

Cigarette Smoking and Its Financial Burden among Iranian Households: Evidence from Household Income and Expenditures Survey.

Background: The financial burden of cigarette smoking on households’ budget is not well documented in Iran. We aimed to identify the determinants of cigarette consumption and its financial burden among households in Iran. Study design: A cross-sectional study. Methods: A total of 39,864 Iranian’s households from 31 provinces were included in the analysis. Data on sociodemographic and socioeconomic characteristics (age, sex, household size, education level, employment status, income and wealth index), living area, number of cigarettes smoked and cigarette expenditures for households were extracted from the 2016 Household Income and Expenditures Survey (HIES). Tobit model was used to identify the determinants of cigarette smoking frequency and expenditures among Iranian households. Results: The average number of cigarettes smoked and cigarettes expenditures by all household members was 85.25 cigarettes and US$ 2.64 per month. Living in urban areas, wealth index of households, household income, household size and low educational attainment of household members were positively associated with frequency and expenditures of cigarette smoking. Results also indicated increasing patterns in the number of cigarettes smoked and cigarettes expenditures from east to west of the country. East Azerbaijan, Hamadan, Markazi and Chaharmahal va Bakhtiari provinces had higher cigarette smoking frequency and expenditures in Iran. Conclusions: Tobacco control interventions in Iran should focus more on households living in urban areas and low-educated households. As the frequency of cigarette smoking was higher in the western region of Iran, comprehensive tobacco control policies should be adopted in western provinces.

Young adult e-cigarette use: A latent class analysis of device and flavor use, 2018-2019

ObjectiveThe myriad of e-cigarette devices and flavors used by young adults (YAs) complicates identification of the particular e-cigarette products that are associated with more frequent tobacco use and merit consideration for regulation. The current study used latent class analysis to identify distinct patterns of e-cigarette device and flavor use and evaluate their association with vaping and smoking frequency. MethodsCross-sectional survey data (2018–2019) from a Southern California cohort were analyzed. YAs reporting past 30-day nicotine vaping (N = 550; M age = 19.2 years) self-reported e-cigarette device type/brand and flavor. Six device (e-cig/vape pen, mech mod, box mod, JUUL, non-JUUL pod, disposable) and three flavor (tobacco, mint/menthol, sweet/fruit) indicators were included in a latent class analysis. Past 30-day nicotine vaping and cigarette smoking frequency were assessed as correlates of device and flavor class membership. ResultsThree classes were identified: Any Pod–Mint/Menthol or Sweet/Fruit Flavor Users (prevalance:47%); Non-JUUL–Sweet/Fruit Flavor Users (28%); and Poly-Device–Poly-Flavor Users (25%). Greater frequency of vaping and smoking were associated with higher odds of belonging to the Poly-Device–Poly-Flavor Users class vs. the Any Pod–Mint/Menthol or Sweet/Fruit Flavor Users (vaping: aOR[95%CI] = 1.36[1.16, 1.59], p < .001; smoking: aOR[95%CI] = 1.25[1.02, 1.54], p = .03) and Non-JUUL–Sweet/Fruit Flavor Users (vaping: aOR[95%CI] = 1.30[1.10, 1.53], p < .01; smoking: aOR[95%CI] = 1.42[1.07, 1.88], p = .02) classes. ConclusionsAlthough YAs that predominately used pod devices alongside non-tobacco flavors were most common, YAs characterized by a proclivity toward using many different devices and flavors were appreciably prevalent and smoked and vaped more frequently. Regulations targeting a wide spectrum of vaping products may be optimal in protecting YA health.

E-Cigarette Use and Transition in Adult Smoking Frequency: A Longitudinal Study

The relationship between e-cigarette use and cigarette smoking is the subject of ongoing debate. There is limited research on e-cigarette use and changes in the frequency of cigarette smoking. This study examines whether the frequency of e-cigarette use is associated with changes in cigarette smoking behavior among U.S. adults. The study used data (n=20,558) from Waves 1 (2013-2014) and 2 (2014-2015) of the Population Assessment of Tobacco and Health, analyzed in 2019. Multivariable multinomial logistic regression assessed the association between e-cigarette use at Wave 1 and change in cigarette smoking frequency between Waves 1 and 2. Every day cigarette smokers who used e-cigarettes some days (OR=1.95, 95% CI=1.27, 2.98) and every day (OR=3.37, 95% CI=1.78, 6.36) in Wave 1 had significantly higher odds of switching to some days cigarette smoking in Wave 2. Every day smokers who used e-cigarettes every day in Wave 1 had higher odds of becoming former cigarette smokers in Wave 2. Likewise, e-cigarette use at baseline among former cigarette smokers was associated with higher odds of switching to some days cigarette smoking (experimental e-cigarette use: OR=5.43, 95% CI=2.13, 10.72; some days e-cigarette use: OR=4.78, 95% CI=2.13, 10.72). In addition, experimental smokers who were also some days e-cigarettes users in Wave 1 had significantly lower odds of switching to experimental former smokers. Although e-cigarette use may reduce cigarette smoking frequency among continuing smokers, findings suggest that e-cigarette use may be associated with cigarette smoking relapse among former smokers.

Lifestyle habits and academy performance amongst forcibly displaced students: A cross-sectional survey in a school of dentistry.

There is no recognised investigation examining the influence of some lifestyle comportments on academic performance (AP) in forcibly displaced students in higher education. Thus, the frequency of physical inactivity (PI), insufficient sleep (IS), alcohol consumption (AC), drug consumption (DC) and cigarette smoking (CS) and the independent and combined consequences of these habits on AP in forcibly displaced dental students were investigated. A sample of 185 students was studied (thirty-seven forcibly displaced and 148 non-displaced students). This cross-sectional study used an institutional administrative database that included students' demographic features and lifestyle behaviours. Multivariate analyses were performed to evaluate the independent and combined effects of lifestyle behaviours on AP. PI, IS, AC, DC and CS were observed in 51%, 43%, 83%, 27% and 16% of forcibly displaced students, respectively. Compared with non-displaced students, forcibly displaced students presented higher frequencies for all of these behaviours (P<.05), lower AP (P<.0001) and lower socio-economic status (P=.003). Unadjusted regression models showed independent and significant associations between forcibly displaced students and PI (P=.01), IS (P=.01), AC (P=.01), DC (P<.0001), CS (P=.02) and low AP (P=.006). The multivariate model for AP and forcibly displaced students increased odds by 4.6 times (1.5-11; 95% CI). Moreover, the lifestyle comportments studied were also statistically significant, showing combined effects. The variables of gender and age were not statistically significant in the adjusted model. This research observed high frequencies of the behaviours analysed in forcibly displaced students. Furthermore, independent and combined effects of them on AP were detected.

Trends and predictors of exclusive e-cigarette use, exclusive smoking and dual use among youth in Canada

BackgroundFew studies have examined predictors of exclusive e-cigarette use, exclusive smoking and dual use among youth. We investigated whether frequency of e-cigarette use and cigarette smoking predicted involvement in different usage groups after a 1- and 2-year follow-up among a sample of Canadian youth. MethodsA longitudinal sample of youth who participated in three waves of COMPASS [Wave 1 (W1) 2015/16, Wave 2 (W2) 2016–17, Wave 3 (W3) 2017/18] was identified (N = 5,704). Multinomial logistic regression was used to examine whether frequency of e-cigarette use and cigarette smoking at W1 predicted involvement in different usage groups at W2 and W3. Similarly, we examined whether changes in frequency of e-cigarette use and cigarette smoking between W1 and W2 predicted involvement in different usage groups at W3. ResultsE-cigarette users reporting use on 4 or more days per month at W1 had greater odds of dual use at W2, compared to non-users (aOR = 11.22, p < 0.0001). Those who reduced their frequency of e-cigarette use between W1 and W2 had lower odds of exclusive e-cigarette use and dual use at W3 (aOR = 0.18 and 0.17 respectively; both p < 0.05). Those who increased their frequency of cigarette smoking between W1 and W2 had higher odds of exclusive smoking and dual use at W3 (aOR = 22.65 and aOR = 9.92 respectively; both p < 0.0001). DiscussionReductions in frequency of e-cigarette use appeared to have a protective effect of reducing exclusive e-cigarette use and dual use at follow-up. Increases in frequency of cigarette smoking were a significant predictor of exclusive smoking and dual use.

E-cigarette Product Characteristics and Subsequent Frequency of Cigarette Smoking.

There is a dearth of evidence regarding the association of use of electronic cigarettes (e-cigarettes) with certain product characteristics and adolescent and young adult risk of unhealthy tobacco use patterns (eg, frequency of combustible cigarette smoking), which is needed to inform the regulation of e-cigarettes. Data were collected via an online survey of participants in the Southern California Children's Health Study from 2015 to 2016 (baseline) and 2016 to 2017 (follow-up) (N = 1312). We evaluated the association of binary categories of 3 nonmutually exclusive characteristics of the e-cigarette used most frequently with the number of cigarettes smoked in the past 30 days at 1-year follow-up. Product characteristics included device (vape pen and/or modifiable electronic cigarette [mod]), use of nicotine in electronic liquid (e-liquid; yes or no), and use for dripping (directly dripping e-liquid onto the device; yes or no). Relative to never e-cigarette users, past-30-day e-cigarette use was associated with greater frequency of past-30-day cigarette smoking at follow-up. Among baseline past-30-day e-cigarette users, participants who used mods (versus vape pens) smoked >6 times as many cigarettes at follow-up (mean: 20.8 vs 1.3 cigarettes; rate ratio = 6.33; 95% confidence interval: 1.64-24.5) after adjustment for sociodemographic characteristics, baseline frequency of cigarette smoking, and number of days of e-cigarette use. After adjustment for device, neither nicotine e-liquid nor dripping were associated with frequency of cigarette smoking. Baseline mod users (versus vape pen users) smoked more cigarettes in the past 30 days at follow-up. Regulation of e-cigarette device type warrants consideration as a strategy to reduce cigarette smoking among adolescents and young adults who vape.

Impact of Cumulative Unhealthy Sleep Practices in Adolescence on Substance Use in Young Adulthood Estimated Using Marginal Structural Modeling.

ObjectivesThe purpose of this study was to identify the impact of chronic, unhealthy sleep practices in adolescence on substance use in young adulthood. Unhealthy sleep practices in adolescent samples exhibit a bidirectional relationship with substance use. The relationship is further complicated if we consider that confounders such as depression vary over time and are often in response to adolescents’ prior poor sleep practice, which can be addressed by a counterfactual approach using a marginal structural model.MethodsData in this study are from the Taiwan Youth Project, a longitudinal study that started in 2000 and surveyed 2,690 7th grade students at age 13. Outcomes include frequency of cigarette smoking and alcohol drinking at age 21. Three unhealthy sleep practices were included in this study: short sleep, social jetlag, and sleep disturbance. We used a marginal structural model with stabilized inverse probability-of-treatment weights to address time-varying confounders in each wave and a total sample of 1,678 adolescents with complete information for this study.ResultsAccumulated waves of sleep disturbance and social jetlag in adolescence were significantly associated with cigarette use in young adulthood. Accumulated social jetlag but not sleep disturbance was also associated with alcohol use in adulthood. Accumulated waves of short sleep were not associated with later alcohol use, but were negatively correlated with cigarette use.ConclusionInterventions that aim to reduce the likelihood of substance use in young adulthood should consider confronting unhealthy sleep practices, in particular the discrepancy between bedtimes on school days and weekends and sleep disturbance.

Latent Trajectories and Profiles of Commercial Cigarette Smoking Frequency From Adolescence to Young Adulthood Among North American Indigenous People.

North American Indigenous people (ie, American Indian/Alaska Native and Canadian First Nations) have the highest rates of commercial cigarette smoking, yet little is known about long-term trajectories of use among this population. The purpose of this study is to examine heterogeneous trajectories and profiles of Indigenous cigarette use frequency from early adolescence (mean age: 11.1 years) to young adulthood (mean age: 26.3 years). Data come from a nine-wave prospective longitudinal study spanning early adolescence through young adulthood among Indigenous people in the Upper Midwest of the United States and Canada (N = 706). Smoking frequency was examined at each wave, and latent class growth analysis was used to examine heterogeneous patterns. Early adolescent and young adult demographics and smoking-related characteristics were examined across these latent trajectory groups. In young adulthood, 52% of participants smoked daily/near-daily, and an additional 10% smoked weekly or monthly. Four latent trajectory groups emerged: low/non-smokers (35.2%) who had low probabilities of smoking across the study; occasional smokers (17.2%) who had moderate probabilities of smoking throughout adolescence and declining probabilities of smoking into young adulthood; mid-adolescent onset smokers (21.6%) who showed patterns of smoking onset around mid-adolescence and escalated to daily use in young adulthood; and early-adolescent onset smokers (25.9%) who showed patterns of onset in early adolescence and escalated to stable daily use by late adolescence. The findings suggest multiple critical periods of smoking risk, as well as a general profile of diverse smoking frequency patterns, which can inform targeted intervention and treatment programming. Nearly two-thirds (62%) of this sample of Indigenous people were current smokers by early adulthood (mean age = 26.3 years), which is substantially higher than national rates in the United States and Canada. Moreover, in all but one trajectory group, smoking prevalence consistently increased over time, suggesting these rates may continue to rise into adulthood. The longitudinal mixture modeling approach used in this study shows that smoking patterns are heterogeneous, and implications for public health policy likely vary across these diverse patterns characterized by timing of onset of use, escalation in frequency of use, and stability/change over time.

Association of Psychological Stress with Physical Fitness in a Military Cohort: The CHIEF Study.

Psychological stress is associated with sedentary behavior, which may impair exercise performance. The aim of our study was to examine the association between psychological stress and physical fitness in military personnel. A military cohort of 4080 subjects in Taiwan was used for the analysis. The Brief Symptoms Rating Scale (BSRS-5) includes items of anxiety, depression, hostility, interpersonal sensitivity, and insomnia measured by a five-point Likert-type scale of 0-4. Psychological stress was defined as normal (n=3657), slight (n=314), and great (n=109) by BSRS-5 score ≤5, 6-9, and ≥10, respectively. Aerobic fitness and anaerobic fitness were evaluated by the time of 3000-meter running and the numbers of 2-min sit-ups and 2-min push-ups, respectively. Multiple linear and logistic regression analyses were used to determine the relationship. As compared with normal stress, slight and great stress were positive dose-dependently correlated with 3000-meter running time (β=9.09 and 14.44; P=0.0032 and 0.048, respectively) after adjusting for age, sex, service specialty, body mass index, systolic blood pressure, cigarette smoking, alcohol intake, hemoglobin levels, and exercise frequency. Similarly, those with slight stress were more likely to be the worst 10% performers in the 3000-meter run test relative to the normal individuals (odds ratio and 95% confidence intervals: 1.50, 1.00-2.24). By contrast, there was no relationship of psychological stress with the numbers of 2-min sit-ups and 2-min push-ups. Our findings suggest that the presence of higher psychological stress on military personnel may reduce their cardiorespiratory fitness but not affect the anaerobic fitness.

Cigarette Smoking and Its Associations with Substance Use and HIV-Related Sexual Risks among Chinese Men Who Have Sex with Men.

China has the largest population of male smokers globally. Men who have sex with men (MSM) are at greater risk of cigarette smoking compared to the general population. Limited data are available regarding cigarette smoking and its associations with other health issues among Chinese MSM. Eligible MSM (n = 1100) were recruited from mainland China using an online national cross-sectional survey conducted in 2014–2015. Socio-demographic characteristics, smoking behavior, substance use, homosexual stigma and outness, HIV-related risk behavior, and HIV status were obtained. Logistic regression analyses were performed to evaluate predictors of current cigarette smoking frequency and the co-occurrence of smoking and drug use. Nearly 41% (n = 446) of participants had ever smoked cigarettes; 25% (n = 278) were current frequent smokers; and 13% (n = 138) were current infrequent smokers. Factors associated with a history of smoking included age, employment status, and monthly salary. Risk factors associated with current frequent smoking included self-identification as gay, having female sexual partners, binge drinking, drug use, higher levels of homosexual stigma, and being partially or fully “out” as gay. Adjusted multinomial analysis showed that human immunodeficiency virus (HIV) related risks, including risky sexual behaviors, lack of condom use, and a reported history of sexually transmitted infections (STIs), were associated with co-occurrence of current smoking and drug use. Cigarette smoking rates remain high among MSM in China. Cigarette smoking is associated with binge drinking, drug use, and HIV-related risks in this community. There is a clear opportunity for smoking cessation interventions to be linked with HIV and substance use prevention interventions, thereby addressing multiple health issues simultaneously for the MSM community in China.

Cigarette Smoking Behavior Among Menthol and Nonmenthol Adolescent Smokers

PurposeAs cigarette rates have decreased, the proportion of menthol cigarette use among youth smokers has increased. Thus, it is important to monitor the menthol-associated behaviors among youth. The present study examined the associations between menthol cigarette use and smoking frequency, intention to continue smoking, and quit intention among youth. MethodsWe used data from the 2017 and 2018 National Youth Tobacco Surveys. Separate multivariable logistic regression models were used to examine the associations between menthol cigarette use and smoking frequency, intention to continue smoking, and intention to quit. ResultsAcross both years, 1,707 youth reported past 30-day cigarette use, 50.7% of whom used menthol cigarettes. Menthol cigarette users had significantly higher odds of smoking at least 10 out of the 30 days before the survey than nonmenthol smokers (adjusted odds ratio [aOR] 1.48, 95% confidence interval [CI] 1.14–1.94). We found similar results in the stratified analysis by grade level. Menthol cigarette smokers in middle (aOR 2.36, 95% CI 1.01–5.49) and high school (aOR 1.41, 95% CI 1.09–1.82) were more likely to have smoked at least 10 out of the 30 days before the survey than nonmenthol smokers. Menthol cigarette users had higher odds of intention to continue smoking (aOR 1.54, 95% CI 1.08–2.19) than nonmenthol cigarette users. Menthol use was not significantly associated with intention to quit. ConclusionsCompared with nonmenthol cigarette use, menthol cigarette use was associated with smoking more frequently as well as the intention to continue smoking among middle school and high school students.

Relationship of Job Stress with Active and Passive Cigarette Smoking Among Nurses of Teaching Hospitals in Hormozgan University of Medical Sciences in 2018

Background: The prevalence of tobacco use, which is one of the important dimensions of the lifestyle of nurses, and the range of their job stress, have great effects on nurses’ performance against patients. Objectives: The purpose of this study was to determine the relationship between job stress and active and passive consumption of tobacco in nurses in teaching hospitals of Bandar Abbas in 2018. Methods: This was a descriptive-analytic study conducted on nurses using stratified random sampling in the emergency, critical care, and general and specialized wards. The OSIPOW Job Stress Questionnaire and a researcher-made questionnaire were used to examine the patterns of smoking after confirmation of validity and reliability. Results: Thirty-seven male and 183 female nurses participated in this study. The job stress rate was 179.15±31.55 in men and 177.44± 24.39 in women. The frequency of active cigarette smoking in males and females were 10.8% and 9.3%, respectively. The relationship between job stress and active tobacco use in women was significant. In general and special wards, the relationship between job stress and passive cigarette use and active tobacco consumption were significant. Conclusions: According to the results of this study, the consumption of active and passive tobacco use in many cases is related to job stress in nurses. It is needed to reduce the job stress and its subsequent psychological and behavioral effects, as well as reduce the effects of passive tobacco consumption in future plans with controlling actions.

Not Quite the Rule, But No Longer the Exception: Multiple Tobacco Product Use and Implications for Treatment, Research, and Regulation.

The patterns of tobacco product use in the United States have changed during the past several decades. Currently, a large proportion of tobacco users report using multiple tobacco products (MTPs). The prevalence of MTP use varies significantly by cigarette smoking frequency, as well: nearly half (46.9%) of all non-daily smokers report using other tobacco products within the past 30 days. Despite this, much of extant tobacco dependence treatment efforts, tobacco regulatory science research, and tobacco product research, in general, has focused largely on single product use (ie, cigarette smoking). To effectively design interventions and model the potential impact of regulations on tobacco products aimed at reducing tobacco use, as well as effectively study tobacco users, it is essential to consider actual use patterns in the population of tobacco users. Implications: MTP use is increasingly common in the United States. This commentary highlights the impact that MTP use has for efforts to treat tobacco dependence, tobacco regulatory science efforts, as well as on tobacco research, in general.

“Hey, I Got to Smoke Some Weed”: Favorable Perceptions of Marijuana Use Among Non-College-Educated Young Adult Cigarette Smokers

Introduction: As marijuana legalization progresses in the U.S., this study investigated the perceptions of marijuana use among non-college-educated young adult smokers. Methods: Twelve focus groups were conducted to explore themes related to marijuana and marijuana use among a racially and ethnically diverse sample of 75 young adult smokers (ages 18–29 years) with <4-year college education and <$90,000 annual household income living in the Washington, D.C. metropolitan area. Thematic content analysis was employed to analyze the transcripts. Data collection and analysis took place in 2017 and 2018, respectively. Results: Many participants reported smoking cigarettes to boost and maintain the psychoactive effect (“high”) of smoking marijuana; some smoked marijuana to substitute frequent cigarette smoking. Participants generally stated that they believed marijuana smoking was healthier and less addictive than cigarette smoking; many preferred smoking marijuana over cigarettes. Participants also mentioned that cigarette smoking was stigmatized and not socially acceptable but marijuana smoking was “trendy” and “cool.” Some reported that they smoked marijuana to cut down on cigarettes, although most were unsuccessful. Racial and ethnic differences in marijuana use were also identified. Discussion: Non-college-educated young adult smokers expressed largely favorable views towards smoking marijuana. Such positive views may lead to prolonged and escalated use of cigarettes and marijuana, resulting in exacerbated adverse health consequence of smoking both products as well as worsened outcomes of cigarette smoking cessation. Evidence-based messages are greatly needed to communicate the harm and risks of marijuana use and marijuana and tobacco co-use among this group.

Frequency of E-cigarette use and cigarette smoking among Canadian students

The emergence of electronic nicotine delivery systems (commonly referred to as e-cigarettes) has created an ongoing public health debate and concerns, especially in regards to adolescents. The present study examined associations between the frequency of e-cigarette use and cigarette smoking among school students. Data on students (grades 7–12) was obtained from the 2016–2017 Canadian Student Tobacco, Alcohol and Drugs Survey (n = 51,661). Multivariable logistic regression analyses were conducted to examine associations between the frequency of e-cigarette use and smoking. Subgroup analyses were performed for male and female students. Among those who reported any cigarette smoking in the past 30 days, 55% reported e-cigarette use at least once in the last 30 days. Additionally, 17% reported e-cigarette use for 21–30 days among those who smoked cigarettes for at least 21 days. Multivariable logistic regression analysis showed e-cigarette use was associated with higher odds of cigarette smoking, especially among more frequent e-cigarette users. Those who used an e-cigarette 21–30 days had higher odds of cigarette smoking (smoked cigarette at least once AOR = 4.83, CI = 3.33–7.01; at least 11 days AOR = 3.73, CI = 2.40–5.80; at least 21 days AOR = 3.39, CI = 2.16–5.34). Findings suggest that those who smoked cigarettes at least once in the past 30 days had a higher frequency of e-cigarette use.

Problematic smartphone use in young Swiss men: Its association with problematic substance use and risk factors derived from the pathway model.

Background and aimsThis study aimed to examine associations between risk factors suggested in the pathway model proposed by Billieux et al., demographic and substance use variables, and problematic smartphone use (PSU).MethodsThe analytical sample consisted of 5,096 Swiss men (mean age = 25.5 years, SD = 1.26). Multiple linear regression analyses were conducted with PSU as dependent and the following as independent variables: (a) Billieux’s pathway model variables (depression, social anxiety, ADHD, aggression–hostility, and sensation seeking); (b) substance use variables [alcohol: at-risk risky single-occasion drinking (RSOD); at-risk volume drinking; tobacco use: daily smoking; illicit drug use: more than weekly cannabis use; having used at least one other illicit drug besides cannabis over the preceding 12 months]; and (c) sociodemographic variables (age, language region, and education).ResultsAll pathway-model variables except sensation seeking were significant predictors of PSU, especially symptoms of social anxiety (β = 0.196) and ADHD (β = 0.184). At-risk RSOD was positively (β = 0.071) associated with PSU, whereas both frequent cannabis use (β = −0.060) and daily cigarette smoking (β = −0.035) were negatively associated with PSU. Higher-achieved educational levels and being from the German-speaking part of Switzerland predicted PSU.Discussion and conclusionsThe findings of this study can be used to develop tailored interventional programs that address the co-occurrence of certain risky behaviors (e.g., at-risk RSOD and PSU) and target individuals who might be particularly prone to PSU. Such interventions would need to ensure that addressing one problem (e.g., decreasing PSU) does not lead to some other compensatory behavior (e.g., frequent cigarette smoking).

Association of Maternal Cigarette Smoking and Smoking Cessation With Preterm Birth

Cigarette smoking during pregnancy increases the risk of preterm birth, low birth weight, and infant mortality. To assess the probability of preterm birth among expectant mothers who smoked cigarettes before pregnancy and quit smoking at the start or during pregnancy. This cross-sectional study analyzed information provided on live birth certificates from 2011 through 2017 that were obtained from US states that implemented the 2003 revision of the US live birth certificate. In total, 25 233 503 expectant mothers who delivered live neonates and had known prepregnancy and trimester-specific cigarette smoking frequency were included in the analyses. Cigarette smoking frequency (1-9, 10-19, and ≥20 cigarettes per day) 3 months prior to pregnancy and for each trimester during pregnancy. Cigarette smoking cessation throughout pregnancy, after the first trimester, after the second trimester, and during the third trimester irrespective of first and second trimester smoking. Probability of preterm birth (<37 weeks' gestation). Of 25 233 503 expectant mothers who delivered live neonates between 2011 and 2017, the modal age at delivery was 25 to 29 years; 52.9% were non-Hispanic white, 23.6% were Hispanic, and 14.2% were non-Hispanic black women; 22 600 196 mothers did not smoke during the 3 months prior to pregnancy, and 2 633 307 smoked during the 3 months prior to pregnancy. The proportion of prepregnancy smokers who quit throughout pregnancy was 24.3% in 2011 and 24.6% in 2017. The proportion of prepregnancy smokers who quit during the third trimester was 39.5% in 2011 and 39.7% in 2017. High-frequency cigarette smoking often occurred among expectant mothers who smoked during pregnancy (eg, 46.9% of third-trimester smokers smoked ≥10 cigarettes per day in 2017). The probability of preterm birth decreased more the earlier smoking cessation occurred in pregnancy. For example, the probability of preterm birth was 9.8% (95% CI, 9.7%-10.0%) among 25- to 29-year-old, non-Hispanic white, primigravida and primiparous expectant mothers (ie, pregnant for the first time and not yet delivered) who smoked 1 to 9 cigarettes per day prior to pregnancy and maintained this frequency throughout their pregnancy. The probability of preterm birth was 9.0% (95% CI, 8.8%-9.1%) if smoking cessation occurred at the start of the second trimester (an 8.9% relative decrease), and 7.8% (95% CI, 7.7%-8.0%) if cessation occurred at the start of pregnancy (a 20.3% relative decrease). Quitting smoking-and quitting early in pregnancy-was associated with reduced risk of preterm birth even for high-frequency cigarette smokers.

Patterns of alternative tobacco product experimentation among ever smoker adolescents.

Alternative tobacco product (ATP) use is popular among adolescents in Western countries, however, little is known about factors influencing ATP experimentation in Europe. The aim of this study was to explore factors associated with ATP experimentation, and to identify patterns of ATP experimentation among Hungarian adolescents who had ever tried manufactured cigarette smoking. Logistic regression analyses were applied to estimate the relationship between individual cigarette smoking experiences, social smoking influences, demographics, and ATP experimentation (roll-your-own (RYO) cigarettes, cigars/cigarillos, waterpipe, traditional pipe and flavoured cigarettes) in a cross-sectional sample of 8th and 11th grade students (N = 1,067, 56.0% of girls) who had ever tried manufactured cigarette smoking in six metropolitan cities of Hungary. Latent class analysis (LCA) was performed to identify patterns of different ATP use. Almost 90% of the sample had ever tried ATPs and significantly more commonly older (91.8%) versus younger (79.8%) students. Waterpipe was the most popular product to try followed by flavoured cigarettes, cigars/cigarillos, RYO cigarettes, and pipe. Boys were more likely to report ATP experimentation compared to girls. Younger age of cigarette smoking experimentation, greater frequency of past month cigarette smoking and history of ever daily smoking for 30 days showed strong association with ATP experimentation. Students with one or more smoking friends were more vulnerable to experiment with ATPs. Weekly allowance, school academic achievement and household smoking exposure showed no effect on the experimentation. LCA identified four subgroups of ATP experimenters comprising intense polytobacco experimenters (38.4%), mainly waterpipe experimenters (34.2%), moderate polytobacco experimenters (14.9%), and less interested experimenters (12.5%). Tobacco prevention programmes targeting adolescents should emphasize the risks of using ATPs in addition to manufactured cigarettes. Accessibility of ATPs should be better regulated and restrictions should be strongly enforced in order to prevent potential harmful consequences of adolescent polytobacco use.