Prostate-Specific Antigen Screening in Smokers: A Comprehensive Analysis Using a National Behavioral Survey.

INTRODUCTION: Cigarette smoking is associated with higher-risk prostate cancer at the time of diagnosis and increased overall and prostate cancer‒specific mortality. Previous studies indicate smokers are less likely to undergo PSA screening. Herein we investigate the association between smoking and PSA screening using a nationally representative US survey. We hypothesize that smokers are less likely to undergo guideline-concordant PSA screening. METHODS: We performed a cross-sectional analysis of men aged 55 to 69 who responded to the cigarette smoking and PSA screening questions of the 2018 Behavioral Risk Factor Surveillance System survey. Adjusted prevalence and adjusted risk differences were calculated using complex weighted multivariable Poisson regression modeling. RESULTS: We identified 58,996 individuals who qualified for analysis. PSA screening prevalence was 39% (95% CI: 39%-40%) nationally, 42% (95% CI: 41%-44%) for never smokers, 42% (95% CI: 39%-40%) for former smokers, and 27% (95% CI: 25%-29%) for current smokers, including 27% (95% CI: 24%-29%) for daily smokers and 29% (95% CI: 24%-33%) for nondaily smokers. Compared to never smokers, the adjusted relative risk for undergoing PSA screening was 0.81 for current smokers (95% CI: 0.75-0.88, P < .01) and 0.99 for former smokers (95% CI: 0.94-1.03, P = .53). CONCLUSIONS: Current smokers are less likely to undergo recommended PSA screening, but former smokers are screened at similar rates as never smokers. As delays in diagnosis may substantially contribute to worse prostate cancer outcomes, targeted interventions to increase screening in this population may yield significant effects.

Cigarette smoking and cardiovascular disease incidence and all-cause mortality: the modifying role of diet quality.

BACKGROUND: This study examines the potential long-term joint association between smoking and diet quality as modifiable risk factors concerning cardiovascular diseases (CVDs) incidence and all-cause mortality among current and former smokers. METHODS: The study followed 955 smokers from the third and fourth examinations of the Tehran Lipid and Glucose Study to March 2018. Dietary data was collected using a food frequency questionnaire. Three diet quality indices (DQIs) were computed at baseline: DQI-international (DQI-I), DQI-revised (DQI-R), and Mediterranean-DQI (Med-DQI). Cox proportional hazards regression models were used to determine the HR (95% CI) of the joint association between smoking and diet quality among heavy and light smokers, based on the number of cigarettes per day and pack-years, as well as between current and former smokers based on smoking habits. RESULTS: Over a follow-up period of almost eight years, 94 cases of CVDs (9.80%) and 40 cases of mortality (4.20%) were documented. The lower diet quality based on the Med-DQI was associated with a higher risk of mortality among current smokers (HR:3.45; 95%CI:1.12, 10.57). Light smokers with good diet quality, compared to heavy smokers with poor diet quality, had a lower risk of CVDs incident (HR:0.35; 95%CI: 0.15, 0.83) and all-cause mortality (HR:0.20; 95%CI:0.05, 0.77). Current smokers with good DQI had a lower risk of mortality compared to current smokers with poor DQI (HR:0.26; 95%CI:0.08, 0.80). However, this lower risk was more significant in former smokers with good DQI (HR:0.10; 95%CI:0.02, 0.45). CONCLUSIONS: Light and former smokers had a lower risk of developing CVDs and experiencing mortality. However, when coupled with a high-quality diet, this protective effect is even more pronounced.

Prevalence of tobacco use among cancer patients in Iran: a systematic review and meta-analysis.

BACKGROUND: The prevalence of tobacco use among various cancer types in Iran remains a significant concern, necessitating a comprehensive analysis to understand the extent and patterns of consumption. This study aimed to systematically review and analyze existing literature to delineate the prevalence of tobacco use across different cancer types in Iran, thereby providing a robust basis for future interventions and policy formulations. METHODS: Adhering to the PRISMA guidelines, we conducted a systematic review and meta-analysis of literature available in PubMed and Scopus databases. The initial search identified 351 records, out of which 44 studies were selected based on their relevance and design. These studies spanned various time frames, starting from the 2001s up until 2022, and encompassed diverse geographical locations and cancer types in Iran. To avoid bias and potential data overlap, we opted to incorporate a single comprehensive study from the Golestan Cohort, encompassing all data, while excluding 10 other studies. Our final analysis incorporated data from 34 studies, which accounted for 15,425 patients and 5,890 reported smokers. Statistical analyses were performed to calculate the overall proportion of tobacco consumption and to conduct subgroup analyses based on different variables such as cancer types, gender, geographical locations, and types of tobacco used. RESULTS: The analysis revealed a substantial prevalence of tobacco use among cancer patients in Iran, with an overall consumption rate of 43%. This rate varied significantly, ranging from 10 to 88% across individual studies. Subgroup analyses further highlighted disparities in tobacco consumption rates across different demographics, geographic areas, and cancer types. Notably, the 'ever' smokers category exhibited the highest prevalence of tobacco use. The study also identified a worrying trend of high cigarette smoking rates, along with variable consumption patterns of other forms of tobacco, including waterpipe, 'Naas', and 'Pipe'. CONCLUSIONS: This systematic review and meta-analysis underscores a significant association between tobacco consumption and various cancer types in Iran, with a prevalence rate among cancer patients being three times higher than the average Iranian population. The findings indicate substantial heterogeneity in tobacco use patterns, emphasizing the need for targeted interventions to address this pressing health issue. The study serves as a critical resource for shaping future policies and strategies aimed at curbing tobacco use and mitigating its adverse effects on cancer prevalence in Iran.

Our perception may not be reality: A longitudinal study of the relationship between perceived and actual change in smoking behavior.

INTRODUCTION: Results of the impact of lockdowns and stay-at-home orders during the COVID-19 pandemic on changes in cigarette smoking are mixed. Previous studies examining smoking changes during the early stages of the pandemic in 2020 have mainly focused on smoker's perception of changes in cigarette consumption. Such measure has not been widely used in other contexts, and therefore we aim to compare the discrepancy between smokers' perceived changes in cigarette smoking and the actual change in the number of cigarettes smoked, using repeated measurements. METHODS: We included 134 smokers from the French TEMPO cohort with repeated measurements of their perceived changes in smoking habits during the first phase of the COVID-19 pandemic and the number of cigarettes smoked repeatedly from March to May 2020. We used generalized estimation equations (GEE) to examine the association between changes in the number of cigarettes smoked and the odds of mismatched answers. RESULTS: The results suggest that at each study wave, 27-45% of participants provided mismatching answers between their perceived change in smoking habits and the actual change in the number of cigarettes smoked daily, measured repeatedly. Results from GEE analysis demonstrated that a mismatching assessment of smoking behavior was elevated among those who had an increase (OR = 2.52 [1.37;4.65]) or a decrease (OR = 5.73 [3.27;10.03]) in number of cigarettes smoked. DISCUSSION: Our findings highlight the possibility of obtaining different results depending on how changes in tobacco smoking are measured. This highlights the risk of underestimating the actual changes in cigarette smoking during the COVID-19 pandemic, but also more generally when validating public health interventions or smoking cessation programs. Therefore, objective measures such as the actual consumption of psychoactive substances should be utilized, preferably on a longitudinal basis, to mitigate recall bias.

Fat intake modifies association between cigarette smoking and lung cancer in a prospective cohort study: A potential explanation for the lung cancer paradox.

BACKGROUND & AIMS: It remains unclear why the association between cigarette smoking and lung cancer was substantially stronger in Western countries than in Asian countries. As experimental studies have revealed that fat intake modulates tobacco carcinogen metabolism and the growth of transplanted or carcinogen-induced lung tumors in mice, the present study sought to investigate whether the association between cigarette smoking and lung cancer was modified by intake of total fat and types of fat (saturated, monounsaturated, and polyunsaturated fats) in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. METHODS: During a median follow-up of 8.9 years, 1,425 cases of lung cancer were documented from 100,864 participants eligible for the present analysis. Cox proportional hazards regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI). RESULTS: After adjustment for established or suspected confounders, the strength of the association between cigarette smoking and lung cancer was remarkably larger among individuals with high fat intake. HRs (95% CIs) comparing current with never smokers were 23.0 (13.4, 39.6), 32.7 (20.3, 52.8), and 59.8 (30.2, 118.2) for the tertile 1 (≤13.48 g/day), tertile 2 (13.49-21.89 g/day), and tertile 3 (≥21.90 g/day) of saturate fat intake, respectively. A similar pattern of the non-significant interaction was observed when the accumulated amount of cigarette smoking (1-19, 20-39, and ≥40 vs. 0 pack-years) was entered into the regression models. CONCLUSIONS: The present study showed that lung cancer risk associated with both the status and accumulated amount of cigarette smoking was remarkably stronger in individuals with high intakes of fat, particularly saturated fat. However, this interaction was not statistically significant and thus warrants further investigations in other studies.

Eating Disorder Symptomatology Among Young Adult Cigarette and E-Cigarette Users.

Objective: Tobacco use is elevated among individuals with eating disorders (EDs). Yet, further research is needed to understand associations between cigarette and e-cigarette use patterns and ED symptomatology. To gain a more comprehensive understanding of tobacco use and EDs, this study characterized ED symptomatology and tobacco use patterns, including exclusive cigarette use, e-cigarette use, dual use, and nonuse. Method: Young adults aged 18-24 years who self-reported exclusive cigarette, e-cigarette, dual, or nonuse (N = 2500) were recruited via Lucid, an online survey management company. Participants completed questionnaires assessing body dissatisfaction, global ED psychopathology, binge eating and self-induced vomiting frequency, and demographics. ED diagnostic groups included: anorexia nervosa (AN), bulimia spectrum eating disorders (BSED), atypical AN, and night eating syndrome (NES). Results: Multinomial logistic models revealed those with AN were more likely to be dual users, those with atypical AN were more likely to be exclusive e-cigarette users, and participants with a BSED or NES were more likely to be exclusive e-cigarette or dual users, compared to those without an ED. General linear models suggested body dissatisfaction and global ED psychopathology were higher among exclusive e-cigarette and dual users, while binge eating and self-induced vomiting frequencies were greater among all tobacco use groups compared to nonusers. Discussion: Our findings suggest young adults with ED symptomatology were more likely to be users of e-cigarettes exclusively or dual users. It will be necessary to examine how these associations manifest using longitudinal and clinical populations in future research.

Evaluating Alcohol Use Severity in Terms of Cigarette Smoking-Related Processes and Anxiety/Depression Among Adult Latinx Smokers.

OBJECTIVE: Although empirical work focused on smoking-drinking comorbidity among Latinx persons is growing, no work has explored the relation between alcohol use severity in terms of co-occurring smoking processes and mental health. Therefore, the present investigation aimed to explore the prevalence and role of alcohol use severity in relation to clinically significant tobacco and mental health problems among English-speaking Latinx adults who smoke cigarettes. METHODS: Participants included 338 English-speaking Latinx adults who smoked cigarettes daily (Mage = 35.5 years; SD = 8.65; age range 18-61; 37.3% female). RESULTS: Results indicated that approximately 68% of male and 61% of female smokers scored above established clinical cutoffs for hazardous and harmful alcohol use and possible alcohol dependence. Moreover, alcohol use severity was associated with increased risk for cigarette dependence, perceived barriers for quitting, and more problematic symptoms when trying to quit. Alcohol use severity was also related to more severe anxiety and depressive symptoms. CONCLUSIONS: Overall, the current findings suggest that intervening to reduce alcohol use severity may be important to improving smoking cessation and mental health among Latinx persons who smoke.

Frequency of cigarette smoking and its associated factors among men in East Africa: a pooled prevalence analysis of national survey using multinomial regression.

BACKGROUND: Despite the harmful effects of smoking, there have been few studies to pinpoint the factors of this habit, and little is known about it in the East African region. For this reason, this study sought to determine the frequency and factors of cigarette smoking among men in the region. METHODS: Data from recent demographic and health surveys carried out in ten East African countries between 2015 and 2022 were analyzed in this study. Data from 87,022 men was collected. The key factors affecting the smoking rates in the area were investigated using binary and multiple multinomial logistic regression. To ascertain if variables were statistically significant in the final model for binary regression and multiple regression, P values of ≤ 0.2 and < 0.05 were used respectively. RESULTS: Overall, about 14.69% of people currently smoke cigarettes. Of this about 11.03 (95% CI = 10.82, 11.24) was for daily active tobacco use. As compared to < 26-year-old men, men with an age range of 26-35 years (RRR = 2.17, 95% CI: 2.01,2.34), 36-45 years (RRR = 2.82, 95% CI: 2.60, 3.07), and > 45 years old (RRR = 3.68, 95% CI: 3.38, 4.02), were using cigarettes daily rather than no-smoking cigarettes. Men who had begun their first sexual intercourse at the age of 7-19 years (RRR = 6.27,95% CI, 5.35,7.35), 20-25 years (RRR = 4.01, 95% CI, 3.40,4.72), and greater than 25 years old (RRR = 3.08, 95% CI, 2.55,3.71) have shown a higher relative risk ratio to smoke cigarette daily rather than using not smoke cigarette respectively, married (RRR = 0.86, 95% CI, 0.79,0.93), divorced or widowed (RRR = 2.51, 95% CI, 2.27,2.77), middle wealth index (RRR = 2.11, 95% CI 1.98,2.24), and rich (RRR = 1.44, 95% CI, 1.34,1.54), secondary/higher education (RRR = 0.72, 05% CI, 0.66,0.77), rural men (RRR = 0.69, 95% CI, 0.65,0.73), employed men (RRR = 1.26,95% CI, 1.17,1.36), mass media exposure (RRR = 0.76, 95% CI, 0.73,0.81), men who have one sex partner (RRR = 1.23,95% CI,1.13,1.35), and more than one sex partner (RRR = 1.63, 95% CI, 1.47,1.79) more times as compared to those participants who had no sex partner respectively. CONCLUSIONS: Men in East African nations were substantially more likely to smoke cigarettes if they were older, had less education, had a higher wealth index, were divorced or widowed, had many sexual relationships, had early sexual activity, resided in an urban area, were employed, or had no media exposure. The identified factors should be considered by policymakers and public health professionals to lower smoking initiation and increase smoking cessation among men.

A randomized controlled trial of potential tobacco policies prohibiting menthol flavor in cigarettes and e-cigarettes: a study protocol.

BACKGROUND: Menthol cigarette use remains a large public health problem and disproportionately affects Black adults in the United States. The Food and Drug Administration has proposed prohibiting menthol flavor in cigarettes to protect public health. However, e-cigarettes are available in menthol flavor and are a popular alternative product adults might switch to if menthol is prohibited in cigarettes. Research is needed to understand how availability of menthol (vs. tobacco) flavored e-cigarettes could impact cigarette use among adults who smoke menthol cigarettes. METHODS: We will recruit 150 adults who currently smoke menthol cigarettes and will randomize them to 1 of 3 conditions modeling different regulatory scenarios. We will recruit equal numbers of participants identifying as Black vs. non-Black and will stratify randomization by race. To promote standardization and adherence, cigarette and e-cigarette products will be provided for 8 weeks based on the assigned condition: (A) no menthol restriction (menthol cigarette and menthol flavored e-cigarette), (B) menthol prohibited in cigarettes only (non-menthol cigarette and menthol flavored e-cigarette), (C) menthol prohibited in both cigarettes and e-cigarettes (non-menthol cigarette and tobacco flavored e-cigarette). A follow-up visit will occur at week 12 to assess tobacco use status. The study aims are to (1) examine the impact of prohibiting menthol flavor in cigarettes and e-cigarettes on smoking behavior and (2) investigate whether outcomes differ by race to understand the impact of menthol policies on Black (vs. non-Black) individuals given high rates of menthol cigarette use in this population. The primary outcome will evaluate changes in the number of cigarettes smoked per day during the 8-week study period and will examine differences by regulatory scenario. Secondary outcomes will compare percent days smoke-free, changes in nicotine dependence, and motivation, confidence, and intentions to quit smoking by the regulatory scenarios. We will examine whether changes in the outcomes differ by Black vs. non-Black participants to compare the magnitude of the effect of the various menthol policy scenarios by race. DISCUSSION: Results will contribute critical information regarding menthol in cigarettes and e-cigarettes to inform regulatory policies that maximize reductions in cigarette smoking and reduce tobacco-related health disparities. TRIAL REGISTRATION: NCT05259566. Yale IRB protocol #2000032211, last approved 12/8/2023.

Association between heated tobacco product use and airway obstruction: a single-centre observational study, Japan.

BACKGROUND: While heated tobacco products (HTPs) may affect pulmonary function, the evidence supporting the utility of screening for HTP use in clinical settings is insufficient. We examined the association between HTP use and airway obstruction after switching from cigarettes. METHOD: The study subjects were patients aged ≥20 years undergoing surgery from December 2021 to September 2022 who completed spirometry and reported tobacco (cigarette and HTP) use status during the preoperative assessment. Airway obstruction was defined as forced expiratory volume in 1 s to forced vital capacity ratio below the lower limit of normal. Current tobacco use was defined as past-30-day use. Multivariable Poisson regression analysis was performed to examine the associations between HTP use and airway obstruction by adjusting for demographic characteristics, lifetime cigarette smoking (pack-year) and duration of smoking cessation. RESULTS: Overall (N=2850, 55.4% women, mean age 62.4), 4.6% and 10.7% reported current HTP use and cigarette smoking, respectively. 16.8% had airway obstruction. Airway obstruction was more common among current HTP-only users (adjusted prevalence ratio (APR)=2.32), current cigarette-only smokers (APR=2.57) and current dual users (APR=2.82) than never-tobacco users. Among current tobacco users (N=398), the prevalence of airway obstruction was not significantly different between HTP-only users and cigarette-only smokers. Among former cigarette smokers (>30-day cigarette quitters) (N=1077), current HTP users had 1.42 times the increased prevalence of airway obstruction than never-HTP users after adjusting for cigarette pack-year; a stronger association was observed when the analysis was restricted to ≥5-year cigarette quitters (N=772) (APR=1.96, vs never HTP users). CONCLUSION: Current HTP use was associated with airway obstruction among patients with cancer who had completely switched from cigarettes even after quitting smoking for a long period. Patients should be routinely screened for HTP use and advised to quit any tobacco.

Exploring the Link between Altitude of Residence and Smoking Patterns in the United States.

INTRODUCTION: Smoking-related diseases affect 16 million Americans, causing approximately 480,000 deaths annually. The prevalence of cigarette smoking varies regionally across the United States, and previous research indicates that regional rates of smoking-related diseases demonstrate a negative association with altitude. The purpose of this study was to determine the relationship between altitude and the prevalence of cigarette smoking by county (N = 3106) in the United States. We hypothesized that smoking prevalence among adults would be negatively associated with mean county altitude. METHODS: A multivariate linear regression was performed to examine the relationship between county-level mean altitude and county smoking rate. Covariates were individually correlated with 2020 smoking data, and significant associations were included in the final model. RESULTS: The multivariate linear regression indicated that the county-level smoking rates are significantly reduced at high altitudes (p < 0.001). The model accounted for 89.5% of the variance in smoking prevalence, and for each 1000-foot increase in altitude above sea level, smoking rates decreased by 0.143%. Based on multivariate linear regression, the following variables remained independently and significantly associated: race, sex, educational attainment, socioeconomic status, unemployment, physical inactivity, drinking behavior, mental distress, and tobacco taxation. CONCLUSIONS: Our results indicate that smoking rates are negatively associated with altitude, which may suggest that altitude affects the pharmacokinetics, pharmacodynamics, and mechanistic pathways involved in cigarette use. Further research is needed to explore the relationship between altitude and smoking and how altitude may serve as a protective factor in the acquisition and maintenance of tobacco use disorders.

Nicotine use among reservation-area American Indian adolescents compared with a national sample.

BACKGROUND: Past research has found significant nicotine use disparities for reservation-area American Indian adolescents when compared to national levels. However, adolescent nicotine use has changed markedly, with reduced smoking and rapid increases in nicotine vaping. This study presents 2021-2022 prevalence estimates of tobacco product use, perceived harm and availability for reservation-area American Indian youth, with comparisons to the Monitoring the Future (MTF) national study. METHODS: Participants were 8th, 10th and 12th grade students. American Indian data were 33 reservation-area schools in 2021-2022 (n=2420); MTF data were 308 schools in Spring 2022 (n=31,438). Measures were lifetime, 30-day cigarette smoking, smokeless tobacco use, and nicotine vaping; past-year nicotine vaping; daily smoking; perceived harmfulness and availability of these tobacco products. Prevalence and 95% confidence intervals were computed by grade. RESULTS: Estimated prevalence of lifetime, monthly and daily cigarette smoking among American Indian 8th and 10th graders was higher than national levels. Nicotine vaping prevalence was similar between samples. American Indian students were less likely to report tobacco product use poses great risk, but also less likely to report tobacco products are easily available. CONCLUSIONS: Although estimated smoking prevalence among American Indian 8th and 10th graders was higher than national levels, prevalence appears lower than reported in earlier studies, suggesting declining disparities. Prevalence of nicotine vaping among reservation-area American Indian adolescents generally mirrors the national population; however, a lower percentage reported regular nicotine vaping poses a serious risk. This discrepancy suggests a need for prevention and intervention efforts culturally tailored for this population.

Exposure to school-based tobacco prevention interventions in low-income and middle-income countries and its association with psychosocial predictors of smoking among adolescents: a pooled cross-sectional analysis of Global Youth Tobacco Survey data from 38 countries.

OBJECTIVES: To describe the prevalence of school-based tobacco prevention programme exposure among adolescents in low-income and middle-income countries (LMICs) and its association with psychosocial predictors of smoking. DESIGN: Analysis of pooled cross-sectional data. SETTING: Global Youth Tobacco Survey (GYTS), conducted in 38 LMICs. PARTICIPANTS: This was a pooled analysis of data involving a total of 132 755 adolescent respondents to GYTS in 38 LMICs across Africa, Europe and Central/South America between 2014 and 2017. EXPOSURE AND OUTCOME MEASURES: The primary independent variable for this study was self-reported exposure to school-based tobacco prevention programmes in the past year. Five psychosocial determinants of smoking were explored as outcomes: perceived addictiveness of nicotine, perceived harm of secondhand smoke exposure, support for restricting cigarette smoking at public indoor locations, support for restricting cigarette smoking at public outdoor areas and self-reported prediction of enjoying cigarette smoking. Multivariable logistic regression models were used to examine the relationship between exposure to school-based tobacco prevention programmes and study outcomes, controlling for sociodemographic and smoking-related characteristics of respondents. RESULTS: Overall, 59.1% of adolescents in LMICs self-reported exposure to school-based tobacco prevention programmes. The country-specific prevalence of adolescent exposure to school-based tobacco interventions ranged from 24.9% in the Comoros to 99.3% in Turkmenistan. Exposure to school-based tobacco interventions was significantly associated with greater secondhand smoke harm perceptions (adjusted OR (AOR): 1.69; 95% CI: 1.69 to 1.70), perceptions of addictiveness (AOR: 1.37; 95% CI: 1.36 to 1.37) and supporting tobacco use restrictions indoors (AOR: 1.70; 95% CI: 1.69 to 1.70) and outdoors (AOR: 1.59; 95% CI: 1.59 to 1.60). Exposure to school-based tobacco interventions was associated with lower odds of anticipating enjoying cigarette smoking (AOR: 0.76; 95% CI: 0.76 to 0.76). CONCLUSION: Exposure to tobacco prevention programmes in schools is suboptimal in LMICs. Given the protective associations described in this study from school-based tobacco prevention programme exposure, it is imperative that national governments implement school-based programmes into ongoing tobacco control measures.

Parental cigarette smoking before and during pregnancy in a cohort of 21 472 pregnancies.

Smoking during pregnancy is one of the leading causes for adverse pregnancy outcomes. We studied parental smoking both before and during pregnancy in a retrospective cohort of 21 472 singleton pregnancies. Although most smoking women (74%) ceased tobacco use, there was possible gestational exposure to maternal cigarette smoking in every fifth pregnancy. Continued smoking throughout pregnancy was more prevalent in the partners (22%) than in the pregnant women (7%). The smoking behaviour of the women, especially the number of cigarettes smoked per day (CPD), before and in early pregnancy predicted the continuation of smoking throughout the pregnancy and could be used in identifying high risk groups. In addition, their partner's smoking habits both before and during pregnancy, were associated with the likelihood that the woman would continue to smoke during her pregnancy (rs ≈ 0.4). Furthermore, continued smoking of both parents were associated with decreased birth weight, head circumference and Apgar score, and increased duration of hospital stay and need for special care after birth. Consequently, addressing the lifestyles of both parents in the health care and maternity clinics could help in reducing maternal cigarette smoking during pregnancy and the adverse pregnancy outcomes associated with smoking.

A reduction in cigarette smoking improves health-related quality of life and does not worsen psychiatric symptoms in individuals with serious mental illness.

INTRODUCTION: Individuals with serious mental illness (SMI) smoke cigarettes at a much higher rate than the general population, increasing their risk for medical illnesses and mortality. However, individuals with SMI do not get enough support to quit smoking, partially because of concerns from medical providers that reducing smoking may worsen their symptoms or quality of life. METHODS: Veterans with SMI and nicotine dependence (n = 178) completed a 12-week smoking cessation trial (parent trial dates: 2010-2014) including assessments of smoking status, psychiatric symptoms (Brief Psychiatric Rating Scale), and quality of life (Lehman Quality of Life Interview-Short Version) at up to four time points: baseline, post-treatment, three-month follow-up, and 9-month follow-up. Bayesian multilevel modeling estimated the impact of changes in the self-reported number of cigarettes per day in the past seven days on psychiatric symptoms and quality of life. RESULTS: Between subjects, each additional pack of cigarettes smoked per day was associated with a 0.83 point higher score (95%CI: 0.03 to 1.7) on a negative symptoms scale ranging from 0 to 35. Within subjects, each one-pack reduction in the number of cigarettes smoked per day was associated with an improvement of 0.32 (95%CI = 0.12 to 0.54) on the health-related quality of life scale, which ranges from 0 to 7 points. There were no other significant between- or within-subjects effects of smoking on psychiatric symptoms or quality of life. CONCLUSIONS: Individuals with SMI and their providers should pursue smoking cessation without fear of worsening psychiatric symptoms or quality of life.

"Cigarettes play the equalizer": discrimination experiences and readiness to quit cigarette smoking among African Americans experiencing homelessness: a qualitative analysis.

BACKGROUND: Approximately 70-80% of people experiencing homelessness in the United States use tobacco. Smoking cessation programs specifically for this population have been found to be less effective for African American participants. The purpose of this study was to explore discrimination experiences and their impact on smoking habits and readiness to quit cigarette smoking while experiencing homelessness. METHODS: In the qualitative phase of this mixed methods study, five focus groups were conducted for African Americans residing in a homeless shelter in Skid Row, Los Angeles, CA. Using a semi-structured interview guide, we asked participants about discrimination experiences, how smoking habits were impacted by these experiences, and tools needed to successfully abstain from cigarette smoking. Qualitative descriptive content analysis was used to explore discrimination experiences and its association with readiness to quit cigarette smoking. RESULTS: Of the 17 participants, 14 (82.4%) were male, and the average age was 46.8 years. Using a qualitative In Vivo coding method, three themes were revealed: "Experiencing Discrimination while Black", "The Psychosocial Fabric-Why Quitting Cigarette Smoking is a Challenge", and "The Lesser of Two Evils-Choosing to Smoke over More Harmful Options." Participants discussed working in the blue-collar workforce while Black, identifying as a double minority, smoking to cope with stress, early exposure to cigarettes, smoking being a central part of one's belonging to a group, and the legality of cigarette smoking. DISCUSSION: Our findings show that African Americans experiencing homelessness (1) may experience discrimination in multiple settings, regardless of housing status, (2) could have grown up around cigarette smoking and remain surrounded by it while experiencing homelessness, and (3) may experience a calming effect with smoking, which slows some from reacting negatively to adverse situations. CONCLUSION: Barriers to successfully abstaining from smoking are multifactorial among African Americans experiencing homelessness and should be addressed individually. Future research should explore the cultural tailoring of interventions that support cessation efforts unique to minoritized populations to improve smoking cessation programs offered to this population.

Cumulative Exposure to E-Cigarette Coupons and Changes in E-Cigarette Use Among U.S. Adults.

INTRODUCTION: Coupons are an effective, frequently used tobacco marketing strategy. This study examined prospective associations between cumulative exposure to e-cigarette coupons and changes in e-cigarette use among U.S. adults. METHODS: Data were from a representative U.S. adult cohort (n=19,824) in the Population Assessment of Tobacco and Health Study (waves [W] 2, 3, 4, and 5), collected from October 2014 to November 2019. Analysis was conducted in 2022. Four logistic regression models examined associations of a number of waves for which participants received e-cigarette coupons during W2-W4 with changes in e-cigarette use: W2 never use to W5 current use (initiation); W2 current nondaily use to W5 daily use (progression); W2 current use to W5 former use (cessation), and W2 former use to W5 current use (return-to-use). RESULTS: Overall, 66.1% of U.S. adults never used e-cigarettes, 10.6% currently used e-cigarettes, and 23.4% formerly used e-cigarettes at W2. The average number of waves for which participants received e-cigarette coupons during W2-W4 was 0.13: 0.10 among W2 individuals who never used e-cigarettes, 0.30 among individuals who currently used e-cigarettes on a nondaily basis, 0.50 among individuals who currently used e-cigarettes, and 0.17 among individuals who formerly used e-cigarettes. Receiving coupons at increased waves was associated with (1) greater odds of initiation (AOR=1.58, 95% CI=1.26-1.97); (2) lower odds of cessation (AOR=0.78, 95% CI=0.67-0.91); and (3) increased odds of return-to-use (AOR=1.39, 95% CI=1.14-1.69). Findings did not differ by W2 cigarette smoking status. CONCLUSIONS: E-cigarette coupons may encourage and sustain e-cigarette use. Policies restricting e-cigarette coupons may curb e-cigarette use.

Prevalence of Current Cigarette Smoking by Sociodemographic Characteristics in U.S. Cancer Survivors.

BACKGROUND: Cancer survivors are especially vulnerable to the carcinogenic effects of tobacco smoking, but there lacks a study comprehensively examining the sociodemographic disparities in current smoking prevalence in this population. In this study, we quantified the current cigarette smoking prevalence in cancer survivors and those without cancer history by sociodemographic factors, to identify subpopulations with high current smoking burden. METHODS: We conducted a cross-sectional study of 3,679 cancer survivors and 27,350 participants without cancer history who were 18 years of age or above in the 2019 National Health Interview Survey. Data for the study variables were obtained from computer-assisted personal or telephone interviews. Weighted Poisson regression was used to estimate prevalence ratios and 95% confidence intervals. RESULTS: Although the current smoking prevalence for cancer survivors was slightly lower than for those without cancer history, the prevalence exceeded 30% in cancer survivors in poverty or without health insurance. Individuals with significantly higher current smoking prevalence had lower education levels, were unmarried, did not have health insurance, or lived in poverty. The associations of age, sex, race, health insurance status, and poverty status with current smoking significantly differed between cancer survivors and those without cancer history. Sociodemographic disparities in current smoking prevalence were found in survivors of either smoking-related or nonsmoking-related cancers. CONCLUSION: High current smoking prevalence still exists in subpopulations of cancer survivors and those without cancer history. Our findings may strengthen efforts to reduce sociodemographic disparities in current smoking prevalence and to lower the overall smoking prevalence.

Examining psychometric properties of the Metacognitions about Smoking Questionnaire among young e-cigarette users.

OBJECTIVE: Metacognition can be understood as 'cognition of cognition' or 'thinking about thinking'. Metacognition research has primarily focused on cigarette smoking, while e-cigarette use has been relatively unexplored. The study sought to examine the properties of the Metacognitions about Smoking Questionnaire (MSQ), as it was adapted for use among adolescent and young adult e-cigarette users. Further, the study sought to examine the ability of the Metacognitions about Smoking Questionnaire (MSQ) to predict past 30-day e-cigarette use among adolescent and young adult e-cigarette users. METHODS: The study analyzed data collected by the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS) in Spring 2020. The instrument consisted of 20 items found to have sound psychometric properties when validated among self-defined cigarette smokers in the UK. The instrument was adapted for e-cigarette use by providing a brief description before the items. Participants were asked "Which of the following products you use most often?", and those who selected "e-cigarettes" were included in the study. Participants were then presented with 20 statements about beliefs people hold about using e-cigarette and were instructed to determine their agreement with the statements on a four-point Likert scale with respect to e-cigarette use. Factors were extracted using Exploratory Factor Analysis (EFA) and factor structure was verified using Confirmatory Factor Analysis (CFA). Further, each of the extracted factors were used to predict past 30-day e-cigarette use frequency in the most frequent group, using conditional effects, holding the most frequent category of categorical covariates, mean of continuous covariates and the other two metacognitive factors as reference levels. Past 30-day e-cigarette use was measured as the number of days of use in the past 30-days. RESULTS: Participants who reported e-cigarette use in the past 30-days were included in this analysis (n = 244). Participants were in 10th grade (n = 46), 12th grade (n = 92) and two years beyond high school (n = 106). EFA was conducted and items were assessed with varimax rotation. CFA was conducted with multiple models (one factor, two factor and three factor solutions) and the 3-factor solution showed the best fit. Factors were named as 'positive metacognitions about cognitive regulation'(PMCR) (e.g. '…helps me think more clearly'), 'positive metacognitions about emotional regulation'(PMER) (e.g. '…helps me to relax when I am agitated'), and 'negative metacognitions'(NM) (e.g. 'It is hard to control my desire for e-cigarettes'). Cronbach's alpha showed high internal consistency (0.92, 0.90 and 0.91, respectively). The median score (range) was 7 (5-20), 10 (5-20), and 11 (10-40) on PMCR, PMER, and NM factors. Higher scores denote higher levels of outcome expectancies of that factor. Lowest and highest score on PMCR was associated with 15 and 20.4 days of e-cigarette use in the past 30-days, respectively. Similarly, lowest and highest score on PMER and NM were associated with 13.2 and 21 days, and 14.7 and 24.6 days, respectively. The results indicate that participants who reported highest outcome expectancies for cognitive regulation, emotional regulation, and negative outcomes, used e-cigarettes on average 5, 8 and 10 days more than those who reported lowest outcome expectancies for these factors. CONCLUSION: The MSQ showed good psychometric soundness for measuring metacognitive factors associated with e-cigarette use. For cigarette smoking, the original questionnaire distinguished negative cognitions of 'uncontrollability' and 'cognitive interference', which was not seen in e-cigarette users. This indicates a difference in cognitions of cigarette and e-cigarette users. The instrument can help understand the similar role of cognition in e-cigarette use behavior and further assess association with e-cigarette use.