Cigarettes Smoked Per Day Research Articles

Statistical Analyses Plan for “MAGnItude of cigarette substitutioN after Initiation oF e-cigarettes and its ImpaCt on biomArkers of exposure and potenTial harm in dual users”: MAGNIFICAT trial

BackgroundThe substitution of combustible cigarettes (CC) with non-combustible nicotine alternatives, such as e-cigarettes (EC), significantly lowers exposure to harmful chemicals. However, many individuals who use ECs continue smoking CCs, becoming dual users and remaining at increased risk of toxin exposure. This study will examine how the reduction in cigarettes smoked per day (CPD) after switching to ECs correlates with changes in biomarkers of exposure (BoE) and potential harm (BoPH) to evaluate the extent of harm in dual users. MethodsThe study is a prospective, non-randomised, observational, longitudinal cohort study in which 250 CC smokers will be invited to use EC as part of a smoking reduction/cessation strategy. Participants will be grouped in five dual use categories based on the change from baseline in CPD at 1, 3 and 6 months, based on self-reported use in the preceding 30 days. The primary outcome of interest is the mean absolute urinary 2-cyanoethyl mercapturic acid (2CyEMA), a well-validated BoE, also assessed at 1, 3 and 6 months. Other BoE will be assessed, together with exploration of the association between varying intensities of dual use and BoPH. The association between the dual use category and levels of BoE will be evaluated using analysis of variance (ANOVA), in order to understand which BoE are best suited to identifying different levels of dual use. Exploratory assessment of the value of BoPH will similarly be evaluated, to assess whether their predictive power extends from the binary smoker/non-smoker categorization to a more nuanced dual use categorization. The specific details of the own-brand CC will be available once smokers' enrollment in the study is complete. The EC used in the study will be the KIWI 2 Pen refillable pod system, with participants given the option to choose from three different flavored e-liquids: LEAF, MIDWAY, and GLACIAL, all containing 0.9% nicotine. For specialized equipment used for biomarker analysis please refer our previous publication: https://pubmed.ncbi.nlm.nih.gov/38584934/ ConclusionEC are increasingly adopted as a harm reduction strategy in CC smokers who wish to quit smoking, the outlined Statistical Analysis Plan (SAP) provides a robust approach to understand the impact of EC on CC use and to quantify the impact of dual use on clinical outcomes using BoPH. For statistical calculations we will use R software.The subject of this SAP manuscript – trial research – due to planned medical procedures, is a subject of verification by proper ERB (Ethics Review Board) in Poland and gained required approval prior to the start of the actions. The positive opinion was granted on 22nd February 2024, with the signature number 04/24.

Delayed effects of cigarette graphic warning labels on smoking behavior.

Graphic warning labels (GWLs) are widely employed to communicate smoking-related health risks; however, their implementation in the US has been held back by concerns about their efficacy. Most GWLs elicit a high level of emotional reaction (ER). The extent to which ER contributes to GWLs efficacy in improving smoking outcomes is a subject of debate. Our recent study showed poorer efficacy of the high-ER GWLs versus the low-ER ones during a month-long naturalistic exposure. Whether GWL effects persist after discontinuing the exposure remains unclear. We conducted a secondary analysis to investigate the delayed effects of GWLs on smoking severity in adult smokers. The number of cigarettes smoked per day (CPD) was measured immediately as well as 4 weeks after the end of a month-long exposure to high-ER versus low-ER GWLs. Participants indicated their subjective feeling of being relieved from having to see the GWLs. We found a significant reduction in CPD from the immediate to the 4-week post-exposure timepoint. There was no difference in CPD reduction between the high-ER and low-ER groups.Subjective sense of relief from GWL exposure was associated with greater CPD reduction in the high-ER group, but not the low-ER group. Our study suggests lasting impact of GWLs on smoking behavior. The findings may be particularly important to high-arousal GWLs, which appear less effective in reducing smoking during active exposure. Whether GWLs that evoke higher ER are more effective remains inconclusive. We recently showed that high-ER GWLs are less effective than low-ER ones in reducing smoking during continuous exposure. Here, we found evidence of delayed GWL effects such that smoking decreased from immediately to four weeks after the end of GWL exposure. Feeling of relief from GWL exposure was associated greater smoking reduction in the high-ER group. We suggest that continuously exposing smokers to high-ER GWLs that have been well remembered may be unnecessary and counterproductive.

Genetic correlation between smoking behavior and gastroesophageal reflux disease: insights from integrative multi-omics data

BackgroundObservational studies have preliminarily revealed an association between smoking and gastroesophageal reflux disease (GERD). However, little is known about the causal relationship and shared genetic architecture between the two. This study aims to explore their common genetic correlations by leveraging genome-wide association studies (GWAS) of smoking behavior—specifically, smoking initiation (SI), never smoking (NS), ever smoking (ES), cigarettes smoked per day (CPD), age of smoking initiation(ASI) and GERD.MethodsFirstly, we conducted global cross-trait genetic correlation analysis and heritability estimation from summary statistics (HESS) to explore the genetic correlation between smoking behavior and GERD. Then, a joint cross-trait meta-analysis was performed to identify shared “pleiotropic SNPs” between smoking behavior and GERD, followed by co-localization analysis. Additionally, multi-marker analyses using annotation (MAGMA) were employed to explore the degree of enrichment of single nucleotide polymorphism (SNP) heritability in specific tissues, and summary data-based Mendelian randomization (SMR) was further utilized to investigate potential functional genes. Finally, Mendelian randomization (MR) analysis was conducted to explore the causal relationship between the smoking behavior and GERD.ResultsConsistent genetic correlations were observed through global and local genetic correlation analyses, wherein SI, ES, and CPD showed significantly positive genetic correlations with GERD, while NS and ASI showed significantly negative correlations. HESS analysis also identified multiple significantly associated loci between them. Furthermore, three novel “pleiotropic SNPs” (rs4382592, rs200968, rs1510719) were identified through cross-trait meta-analysis and co-localization analysis to exist between SI, NS, ES, ASI, and GERD, mapping the genes MED27, HIST1H2BO, MAML3 as new pleiotropic genes between SI, NS, ES, ASI, and GERD. Moreover, both smoking behavior and GERD were found to be co-enriched in multiple brain tissues, with GMPPB, RNF123, and RBM6 identified as potential functional genes co-enriched in Cerebellar Hemisphere, Cerebellum, Cortex/Nucleus accumbens in SI and GERD, and SUOX identified in Caudate nucleus, Cerebellum, Cortex in NS and GERD. Lastly, consistent causal relationships were found through MR analysis, indicating that SI, ES, and CPD increase the risk of GERD, while NS and higher ASI decrease the risk.ConclusionWe identified genetic loci associated with smoking behavior and GERD, as well as brain tissue sites of shared enrichment, prioritizing three new pleiotropic genes and four new functional genes. Finally, the causal relationship between smoking behavior and GERD was demonstrated, providing insights for early prevention strategies for GERD.

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.

Associations between vaping and daily cigarette consumption among individuals with psychological distress.

Individuals with behavioral health conditions smoke at significantly higher rates and have been resistant to existing smoking cessation efforts. A clearer understanding of associations between vaping and daily cigarette consumption in this vulnerable population is warranted. We analyzed data from the 2014-2018 National Health Interview Survey (NHIS) to examine whether vaping was associated with differences in number of cigarettes smoked per day (CPD) among adults who smoke daily and have varying levels of psychological distress. After adjustment for sociodemographic covariates, individuals who vaped every day smoked on average 1.48 fewer cigarettes per day than individuals who never vaped (p<0.01), while individuals who vaped some days and individuals who ever but no longer vaped smoked 0.77 and 1.48 more CPD, respectively, than individuals who never vaped. Differences between those who vaped every day and those who never vaped were even greater among those with moderate psychological distress (-2.21 CPD, p<0.01). Our findings suggest that use of vaping devices may be associated with lower daily cigarette use among individuals with psychological distress, potentially supporting smoking harm reduction efforts.

Performance of the Heaviness of Smoking Index in Indian Settings.

Background and objective The heaviness of smoking index (HSI) is a popular tool to assess nicotine dependence in clinical and community settings. Low cigarette consumption and concurrent use of other tobacco products raise concerns about its validity in Indian settings. This study explores the performance of HSI in Indian settings. Methods This study analyzed daily manufactured cigarette smoker data from the cross-sectional Global Adult Tobacco Surveys (GATS) from its first (GAST-1, 2009) and second waves (GATS-2, 2016), both of which were available in the public domain. The HSI scores were calculated based on the number of cigarettes smoked per day (CPD) and time to first smoke (TTFS) after waking up among the current daily cigarette users. This study examined the utility of the HSI scale in Indian settings by estimating the predictability of low dependence on quit attemptsand quit intentions using the likelihood ratio parameter. Results About nine in 10 cigarette users in India consumed less than 10 cigarettes per day, yielding a low score on the HSI scale for most of the daily cigarette users. The majority of daily cigarette smokers scored ≤ 1 (low dependence) on the HSI scale both in GATS-1 and GATS-2, irrespective of their exclusive cigarette use status. The absolute value and the 95% confidence limit of positive likelihood ratios (falling below and above one) suggest that the predictability of low dependence on quit attempts and quit intention in the Indian setting is limited. Conclusions The utility of the HSI scale in assessing nicotine dependence among cigarette users in India is limited. This may be attributed to low average cigarette consumption, concurrent use of various tobacco products, and the sociocultural milieu of Indian smokers. This highlights the need for a new rapid nicotine dependence scale tailored to the specific patterns of tobacco use behavior prevalent in the Indian context.

Systematic review and meta-analysis investigating nicotine, cotinine and carbon monoxide exposures in people who both smoke and use nicotine replacement therapy.

To determine effects of concurrent smoking and nicotine replacement therapy (NRT) use on reported heaviness of smoking, nicotine (cotinine) body fluid and exhaled air carbon monoxide (CO) concentrations. Systematic review and meta-analysis of RCTs, which test interventions permitting concurrent NRT use and smoking and comparing, within participants, outcomes when smoking with those when smoking and using NRT concurrently. Measurements included reported number of cigarettes smoked per day (CPD), body fluid cotinine and expired air CO concentrations. Twenty-nine studies were included in the review. Meta-analysis of nine showed that, compared with when solely smoking, fewer cigarettes were smoked daily when NRT was used (mean difference during concurrent smoking and NRT use, -2.06 CPD [95% CI = -3.06 to -1.07, P < 0.0001]). Meta-analysis of seven studies revealed a non-significant reduction in exhaled CO during concurrent smoking and NRT use (mean difference, -0.58 ppm [95% CI = -2.18 to 1.03, P = 0.48]), but in the three studies that tested NRT used in the lead-up to quitting (i.e. as preloading), a similar reduction in exhaled CO was statistically significant (mean difference, -2.54 ppm CO [95% CI = -4.14 to -0.95, P = 0.002]). Eleven studies reported cotinine concentrations, but meta-analysis was not possible because of data reporting heterogeneity; of these, seven reported lower cotinine concentrations with concurrent NRT use and smoking, four reported no differences, and none reported higher concentrations. People who smoke and also use nicotine replacement therapy report smoking less heavily than people who solely smoke. When nicotine replacement therapy is used in the lead-up to quitting (preloading), this reported smoking reduction has been biochemically confirmed. There is no evidence that concurrent smoking and nicotine replacement therapy use result in greater nicotine exposure than solely smoking.

Tobacco Smoke Is a Major Source of Aromatic Amine Exposure in U.S. Adults: 2013-2014 National Health and Nutrition Examination Survey (NHANES).

Cigarette smoking increases the risk of cancer, cardiovascular diseases, and premature death. Aromatic amines (AA) are found in cigarette smoke and are well-established human bladder carcinogens. We measured and compared total urinary levels of 1-aminonaphthalene (1AMN), 2-aminonaphthalene (2AMN), and 4-aminobiphenyl (4ABP) in adults who smoked cigarettes exclusively and in adult nonusers of tobacco products from a nationally representative sample of non-institutionalized U.S. population in the 2013-2014 National Health and Nutrition Examination Survey. Sample-weighted geometric mean concentrations of AAs in adults who smoked cigarettes exclusively compared with adult nonusers were 30 times higher for 1AMN and 4 to 6 times higher for 2AMN and 4ABP. We evaluated the association of tobacco-smoke exposure with urinary AAs using sample-weighted multiple linear regression models to control for age, sex, race/ethnicity, diet, and urinary creatinine. Secondhand smoke exposure status was categorized using serum cotinine (SCOT) among adult nonusers (SCOT ≤ 10 ng/mL). The exposure for adults who smoked cigarettes exclusively (SCOT > 10 ng/mL) was categorized on the basis of the average number of self-reported cigarettes smoked per day (CPD) in the five days prior to urine collection. The regression models show AAs concentration increased with increasing CPD (P < 0.001). Dietary-intake variables derived from the 24-hours recall questionnaire were not consistently significant predictors of urinary AAs. This is the first characterized total urinary AA concentrations of the U.S. adult non-institutionalized population. Our analyses show that smoking status is a major contributor to AA exposures. These data provide a crucial baseline for exposure to three AAs in U.S. non-institutionalized adults.

Cigarette Smoking, and Blood Monocyte Count Correlate with Chronic Lung Injuries and Mortality.

Cigarette smoking (CS)-related monocytosis contributes to the development of chronic lung injuries via complex mechanisms. We aim to determine correlations between measures of CS and monocytes, their capacities to predict chronic lung diseases, and their associations with mortality. A single-center retrospective study of patients undergoing surgical resection for suspected lung nodules/masses was performed. CS was quantified as cigarettes smoked per day (CPD), duration of smoking, composite pack years (CPY), current smoking status, and smoking cessation years. A multivariate logistic regression analysis was performed. Of 382 eligible patients, 88% were ever smokers. In this group, 45% were current smokers with mean CPD of 27.2±40.0. CPY and duration of smoking showed positive linear correlations with percentage monocyte count. Physiologically, CPY was associated with progressive obstruction, hyperinflation, and reduced diffusion capacity (DLCO). Across the quartiles of smoking, there was an accumulation of radiologic and histologic abnormalities. Anthracosis and emphysema were associated with CPD, while lung cancer, respiratory bronchiolitis (RB), emphysema, and honeycombing were statistically related to duration of smoking. Analysis using consecutive CPY showed associations with lung cancer (≥10 and <30), fibrosis (≥20 and <40), RB (≥50), anthracosis and emphysema (≥10 and onwards). Percentage monocytes correlated with organizing pneumonia (OP), fibrosis, and emphysema. The greater CPY increased mortality across the groups. Significant predictors of mortality included percentage monocyte, anemia, GERD, and reduced DLCO. Indices of CS and greater monocyte numbers were associated with endpoints of chronic lung disease suggesting a participation in pathogenesis. Application of these easily available metrics may support a chronology of CS-induced chronic lung injuries. While a relative lesser amount of smoking can be associated with lung cancer and fibrosis, greater CPY increases the risk for emphysema. Monocytosis predicted lung fibrosis and mortality. Duration of smoking may serve as a better marker of monocytosis and associated chronic lung diseases.

A retrospective epidemiological investigation of periodontitis risk and current smoking status based on the number of cigarettes per day and the Fagerström Test for Nicotine Dependence: a preliminary pilot study.

The aim of this study was to investigate the risk of periodontitis according to current smoking status based on the number of cigarettes smoked per day (CPD) and the Fagerström Test for Nicotine Dependence (FTND). All enrolled patients were diagnosed and classified according to the new periodontal classification scheme, and current smoking status was investigated via a self-reported questionnaire. The correlation between smoking status (CPD and FTND) and periodontitis risk (severity of periodontitis and tooth loss due to periodontal reasons) was statistically assessed using Spearman correlation coefficients. Moreover, partial correlation analyses between smoking and periodontal status were performed after adjusting for age, sex, and diabetes mellitus. Overall, data from 74 men and 16 women (mean age: 48.1±10.8 years) were evaluated. The mean number of missing teeth, CPD, and FTND score were 3.5±5.2, 24.6±15.5, and 3.5±2, respectively. CPD and the FTND were significantly positively correlated with each other (r=0.741, P<0.001). CPD and the FTND were also significantly correlated with the severity of periodontitis (CPD: r=0.457, P<0.05 and FTND: r=0.326, P<0.05) and the number of missing teeth due to periodontal reasons (CPD: r=0.525, P<0.05 and FTND: r=0.480, P<0.05), respectively. Within the limitations of this study, both CPD and the FTND were significantly correlated with the severity of periodontitis and the number of periodontally compromised extracted teeth.

The Impact of Cigarette Relighting on Nicotine Dependence and Smoking Cessation Treatment Outcome Measures Among Adults With Mood Disorders.

The number of cigarettes smoked per day (CPD) is a component of commonly used nicotine dependence measures and often used as a smoking cessation treatment outcome. Yet relighting (ie, smoking used cigarette butts) is not usually considered when CPD is assessed, which may underestimate nicotine dependence and result in an inaccurate picture of smoking behaviors. Data from a randomized controlled trial of a smoking cessation intervention were used. Fagerström Test for Cigarette Dependence (FTCD), CPD, and the frequency of smoking (number of smoking episodes/day) assessed at baseline and 3-month follow-up were used. Participants were 49 adults with mood disorders who smoke daily receiving outpatient psychiatric treatment. At baseline, 27 (55.1%) participants reported relighting cigarettes, and 6 (27.3%) of those who did not report relighting at baseline reported relighting at 3-month follow-up. Replacing CPD with the frequency of smoking to recalculate the total FTCD score increased the score for 21 participants (43%). The mean FTCD scores increased from 4.61 to 5.16, from a classification of low to medium dependence, and 16 participants (33%) moved up in the dependence classification. Of the 31 participants who reported a >=50% reduction in CPD at 3-month follow-up, 5 (16%) did not achieve the outcome of >=50% reduction in the frequency of smoking per day. In this sample of adults with mood disorders who smoke, over half reported relighting cigarettes. Results underscore the importance of incorporating the frequency of smoking/relighting when assessing nicotine dependence and patterns of smoking behaviors in high-risk populations. This is the first study to investigate the patterns of relighting behavior and its impact on nicotine dependence and smoking cessation treatment outcome measures among treatment-seeking adults with mood disorders who smoke. The majority were relighting, and over a quarter of those who did not report relighting at baseline subsequently reported relighting in the context of a quit attempt. The findings demonstrate that overlooking relighting may underestimate nicotine dependence and overestimate the rates of those who have made meaningful changes in smoking behavior. Incorporating the frequency of smoking/relighting may help to more accurately capture nicotine dependence and patterns of smoking behavior among high-risk populations.

Characterization of the association between cigarette smoking intensity and urinary concentrations of 2-hydroxyethyl mercapturic acid among exclusive cigarette smokers in the National Health and Nutrition Examination Survey (NHANES) 2011–2016

Background 2-Hydroxyethyl mercapturic acid (2HEMA, N-acetyl-S-(2-hydroxyethyl)-L-cysteine) is a urinary metabolite of several volatile organic compounds including acrylonitrile and ethylene oxide, which are found in cigarette smoke. Methods We measured 2HEMA concentrations in urine specimens collected during the National Health and Nutrition Examination Survey (2011–2016) from eligible participants aged >12 years (N = 7,416). We developed two multiple linear regression models to characterize the association between cigarette smoking and 2HEMA concentrations wherein the dependent variable was 2HEMA concentrations among participants who exclusively smoked cigarettes at the time of specimen collection and the independent variables included sex, age, race/ethnicity, creatinine, diet, and either cigarettes smoked per day (CPD) or serum cotinine. Results We detected 2HEMA in 85% of samples tested among exclusive cigarette smokers, and only 40% of specimens from non-smokers. When compared to exclusive cigarette smokers who smoked 1–9 CPD, smoking 10–19 CPD was associated with 36% higher 2HEMA (p < 0.0001) and smoking >19 CPD was associated with 61% higher 2HEMA (p < 0.0001). Additionally, 2HEMA was positively associated with serum cotinine. Conclusions This study demonstrates that cigarette smoking intensity is associated with higher urinary 2HEMA concentrations and is likely a major source of acrylonitrile and/or ethylene oxide exposure.

909Testing ‘hardening hypotheses’ in 30 Global Adult Tobacco Survey countries: an ecological study

Abstract Background Evidence from high-income countries suggests “softening” but not “hardening” occurs when smoking prevalence decreases; however, evidence is lacking from developing countries. Methods We constructed heaviness of smoking index (HIS) based on cigarettes smoked per day (CPD) and time-to-first-cigarette (TTFC) and a score of 4-6 was high nicotine dependence; Hardcore smokers (HCS) are daily smokers who smoked within 30 minutes after waking up, smoke ≥10 cigarettes per day, have not made any quit attempts in 12 months, and have no intention to quit at all or during next 12 months; light smokers (&amp;lt;10 CPD or occasional smokers). We plotted two-way linear prediction graphs using country-level data and estimated Spearmańs rank-correlation coefficient. On pooled data multi-level binary logistic regression analyses for HCS, high dependence and light smoker. Results Among men and women range (lowest vs. highest) of rates varied between countries and were lower among women. Daily smoking prevalence was moderately and positively correlated with hard-core smoking (Rsp=0.473), and high dependence (Rsp=0.384) but negatively correlated with light smoking (Rsp=-0.677). HCS and high dependence were associated with socio-economic factors but effect sizes were higher for women. Among GDP and tobacco control score showed protective effect for HCS and high dependence but increased risk for light smoking. Conclusions Positive relationship of daily smoking with HCS and high dependence and its negative relationship with light smoking is contrary to “hardening hypothesis”. Key messages Hardening may not happen in developing countries as well.

Cigarette Filter Ventilation and Biomarkers—Letter

Recently, Carroll and colleagues (1) concluded that filter ventilation was not associated with biomarkers of exposure (BOE) or biomarkers of potential harm (BOPH). When one assesses exposure and harm from different cigarette types, one usually consider results not only in terms of harm to the smoker who uses them, but also on a per cigarette basis. The analyses reported, which did not control for the number of cigarettes smoked per day (CPD) in their filter ventilation groups Q1 to Q4, do not provide the essential information on exposure per cigarette.From the results in Table 3 of the article, we could generate trend probability values quite similar to those presented. We then adjusted for the mean CPD per filter ventilation group shown in Table 2, Ci (i = 1, 2, 3, 4) in various ways, by analyzing loge (Bi/Ci), (loge Bi)/Ci, or loge (Bi)/loge (Ci) where the Bi indicate the biomarker values in the ventilation groups (Supplementary Materials and Methods). On the basis of the results adjusted for age, sex, race, education, smoking duration, smoking status, quit effort, and CPD, we consistently found clear negative trends, often highly statistically significant, of increasing ventilation with decreasing levels of all five BOPH except IL6, and with some BOE, notably total nicotine equivalents (Supplementary Results, Tables 1–4).As we do not have available the individual person biomarker data, we could only conduct approximate analyses. However, we believe our conclusions—that most BOPH and some BOE are reduced per cigarette—would hold were precise analyses conducted, and we ask the authors to report such analyses as they have all the data available. While of course their original conclusion is important, and the accuracy of their analysis undisputed, it is also important to be aware of exposure and harm on a per cigarette basis. Adding this significant covariate into the multivariate analysis allows for more direct comparison between the groups, and shows the interesting contrast with the published results.In conducting such analyses, Carroll and colleagues should realize that the PATH study, on which their analyses were based, includes erroneous CPD data for some individuals, due to a confusion between packs per day and CPD. Thus, CPD in one individual was reported as 10 at Wave 2, 15 at Wave 3, and 300 at Wave 1, the data being entered as 15 packs per day rather than 15 CPD. Such errors need correction before conducting analyses.P. Lee reports other support from Japan Tobacco International S.A. during the conduct of the study; and consultancy with other tobacco companies. J. Fry reports other support from Japan Tobacco International SA during the conduct of the study; and consultancy with other tobacco firms.See the Response, p. 1450

Changes in adult smoking behaviours in ten global adult tobacco survey (GATS) countries during 2008\u20132018 - a test of \u2018hardening\u2019 hypothesis\u2019

BackgroundHardcore smoking behaviours and test of hardening are seldom reported from low-and-middle-income countries (LMICs). We report country-wise changes in smoking behaviors between two sequential surveys and explored ecologically the relationship between MPOWER scores and smoking behaviors including hardcore smoking.MethodsWe analysed sequential Global Adult Tobacco Survey (GATS) data done at least at five years interval in 10 countries namely India, Bangladesh, China, Mexico, Philippines, Russia, Turkey, Ukraine, Uruguay, and Vietnam. We estimated weighted prevalence rates of smoking behaviors namely current smoking (both daily and non-daily), prevalence of hardcore smoking (HCS) among current smokers (HCSs%) and entire surveyed population (HCSp%), quit ratios (QR), and the number of cigarettes smoked per day (CPD). We calculated absolute and relative (%) change in rates between two surveys in each country. Using aggregate data, we correlated relative change in current smoking prevalence with relative change in HCSs% and HCSp% as well as explored the relationship of MPOWER score with relative change in smoking behaviors using Spearman’ rank correlation test.ResultsOverall daily smoking has declined in all ten countries lead by a 23% decline in Russia. In India, Bangladesh, and Philippines HCSs% decreased as the smoking rate decreased while HCSs% increased in Turkey (66%), Vietnam (33%) and Ukraine (15%). In most countries, CPD ranged from 15 to 20 sticks except in Mexico (7.8), and India (10.4) where CPD declined by 18 and 22% respectively. MPOWER scores were moderately correlated with HCSs% in both sexes (r = 0.644, p = 0.044) and HCSp% (r = 0.632, p = 0.05) and among women only HCSs% (r = 0.804, p = 0.005) was significantly correlated with MPOWER score.ConclusionWith declining smoking prevalence, HCS had also decreased and quit rates improved. Ecologically, a positive linear relationship between changes in smoking and HCS is a possible evidence against ‘hardening’. Continued monitoring of the changes in quitting and hardcore smoking behaviours is required to plan cessation services.

Examining moment to moment affective determinants of smoking rate following a quit attempt among homeless daily smokers

BackgroundCigarette smoking disproportionately affects homeless individuals, who have a higher smoking prevalence, fewer resources, and increased stressors compared to domiciled smokers. Little is known about how to facilitate smoking cessation among this population although some findings support focusing efforts on affective variables as well as alternate outcomes in order to optimize interventions for this group. MethodsParticipants were homeless adults recruited from a Dallas, TX, shelter (N = 57, 61.4% male, Mage = 48.8 ± 9.0) to participate in tobacco cessation classes using an American Cancer Society-based therapy and support group with nicotine replacement therapy. Moment-to-moment changes in affect [e.g., negative affect (NA), positive affect (PA), and stress] were recorded via Ecological Momentary Assessments to assess whether they were associated with concurrent changes in cigarettes smoked per day (CPD) following a specific quit attempt. Separate generalized linear models (GLM) were evaluated for each predictor to examine the associations between affective variables and CPD in covariate-adjusted analyses. ResultsSignificant interaction effects of time and affect were found for all variables (NA: p = 0.0011, PA: p = 0.0006, stress: p = 0.0259), whereby the association of affect and CPD were significant in the early part of the week but the effects faded as time progressed. With regard to main effects, only increases in PA during the post-quit week significantly predicted fewer CPD (adjusted incidence rate ratio = 0.924, SE = 0.027, p = 0.0032). ConclusionsHomeless smokers may be more likely to decrease their cigarette consumption during periods of greater PA throughout the post-quit week. Relationship between positive affect and reduction in CPD suggest focus on affective variables with homeless smokers may be an effective avenue for change in smoking behaviors, particularly in the days immediately following a quit attempt. Time effects should be further investigated to determine when these interventions might best be implemented.

Fatherhood and Smoking Problems in Indonesia: Exploration of Potential Protective Factors for Men Aged 18-49 Years from the United Nations Multi-Country Study on Men and Violence.

Background: Despite the sustained high prevalence of smoking among Indonesian adult men, little is known about possible protective factors in this group. This study examined the relationship between key characteristics of masculinity (e.g., fatherhood status, being the main breadwinner or sole provider for the family) and current smoking behaviours (smoking status and cigarettes smoked per day (CPD)) among Indonesian men aged 18–49 years. Methods: In total, 2540 Indonesian men aged 18–49 participated in the United Nations Multi-Country Study on Men and Violence, 2012. Fatherhood status was categorised into three groups: nonfathers, new fathers and more experienced fathers. The association between fatherhood status and current smoking, as well as fatherhood status and cigarettes smoked per day (CPD), was estimated by employing logistic and zero-inflated negative binomial regressions, respectively. Results: Socioeconomic factors were associated with smoking behaviour among Indonesian adult men. The odds of smoking among new fathers and more experienced fathers were 2.3 (95% CI: 1.09–4.79) and 1.5 times (95% CI: 1.08–2.17) higher compared with nonfathers, respectively. Men who had a shared income with their partner or received income from their parents smoked 13% (95% CI 0.79–0.95) and 11% fewer CPD (95% CI 0.79–0.99) compared with men who were the main breadwinner, respectively. Conclusions: In this study, fatherhood represents an aspect of traditionally masculine roles, offering a new perspective for looking at smoking problems in Indonesia. Other key aspects of traditional masculinity characteristics, the breadwinner role, occupation and sources of family income had significant associations with smoking status and CPD. Men smoked fewer CPD as fathers and when sharing the financial responsibility for their family equally with their spouse.

Increases in endogenous progesterone attenuate smoking in a cohort of nontreatment seeking women: An exploratory prospective study

Despite advances in prevention and treatment, cigarette smoking remains a leading cause of preventable death in the United States. Although men and women are equally likely to attempt to quit smoking cigarettes, women are far less likely to achieve abstinence both during and following cessation treatment. Recent evidence suggests that ovarian hormone levels may play a role in successful abstinence attempts in women smokers. The primary goal of this exploratory prospective observational study was to estimate the association between within-participant levels of progesterone and estradiol with associated cigarettes smoked per day in adult women smokers (n = 104). The primary study outcome was self-reported cigarettes smoked per day (CPD) during a 2-week observational period collected using a daily smoking diary. Additionally, participants collected saliva daily, from which hormone levels (progesterone and estradiol) were derived. Higher within-participant progesterone levels were associated with a significant decrease in CPD (p = .008) whereas within-participant estradiol levels were unrelated to CPD (p = .25). Regression models indicated a single change in the trajectory of smoking behavior for both within-participant progesterone and estradiol. When progesterone values were below the change point, there was a significant inverse relationship between within-participant progesterone levels and smoking behavior (p = .025) whereas the relationship was attenuated for higher within-participant progesterone levels (p = .59). The effect of estradiol on smoking behavior was not significant when it was either below (p = .92) or above (p = .16) the change point. Higher within-participant levels of progesterone but not estradiol are associated with reduced CPD in nontreatment seeking women smokers.

Changes in Cigarettes per Day and Biomarkers of Exposure Among US Adult Smokers in the Population Assessment of Tobacco and Health Study Waves 1 and 2 (2013-2015).

Some studies have found some reduction in tobacco exposure and tobacco-related disease risk with decreased numbers of cigarettes smoked per day (CPD), but biomarker of exposure estimates by change in CPD are generally unavailable for the US population. We analyzed biomarker of exposure data by smoking status from over 1100 adult exclusive daily cigarette smokers in Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study who were either exclusive daily smokers or had quit tobacco use entirely at Wave 2. Wave 1 smoking categories consisted of "very light" (1-4 CPD), "light" (5-9 CPD), "moderate" (10-19 CPD), and "heavy" (20+ CPD), and Wave 2 categories were "quitters" (stopped smoking entirely), exclusive cigarette "reducers" (CPD decreased ≥ 50%), "maintainers" (CPD within 50%-150% of Wave 1 value), and "increasers" (CPD increased ≥ 50%). Complete quitters had significantly lower levels of TNE-2, NNAL, NNN, 2-Fluorene, HPMA, CYMA, and MHB3 at Wave 2 for all Wave 1 CPD categories, and decreases were often large. Moderate "reducers" had lower levels of NNAL and 1-Hydroxypyrene at Wave 2, and heavy "reducers" had lower levels of NNAL, 2-Fluorene, and MHB3. Light "increasers" had higher levels of TNE-2, NNAL, 2-Fluorene, CYMA, and cadmium at Wave 2, and heavy "increasers" had higher levels of NNAL and HPMA. Smoking "reducers" and "increasers" had changes in some biomarker of tobacco exposure levels, but reductions were much greater and more consistent for complete quitters. PATH longitudinal cohort study data show that some exclusive daily cigarette smokers increase or decrease CPD over time. These differences may result in moderate changes in the levels of some biomarkers such as NNAL. Even so, however, reductions in biomarker levels are much greater with complete smoking cessation.

Smokefree home rules and cigarette smoking intensity among smokers in different stages of smoking cessation from 20 low-and-middle income countries

Smokefree environment created by smokefree policies is associated with smoking reduction; however, there is paucity of literature on the relationship between smokefree home rules and smoking intensity in low-and-middle income countries (LMICs), and how smokefree policy affects smoking behavior of smokers at different stages of smoking cessation. This study examined the relationship between smokefree home rules and average number of cigarettes smoked per day (CPD) among daily smokers at different stages of the transtheoretical model (TTM) of change. Data from 18,718 current daily cigarette smokers from the Global Adult Tobacco Survey (GATS) conducted from 2011 to 2017 in 20 LMICs were analyzed. Weighted multivariable linear regression analyses were conducted using the log of CPD as the outcome variable with smokefree home rules as the exposure variable, controlling for selected covariates. Approximately 15% of the participants were in precontemplation, 5% were in preparation, 15% lived in partial smokefree homes, and 30% lived in complete smokefree homes. The average number of CPD was 12.3, 12.0, and 10.6 among participants living in homes where smoking was allowed, partial smokefree homes, and complete smokefree homes, respectively. Compared to living in homes where smoking was allowed, living in complete smokefree homes were associated with 22.5% (95%CI = 18.4%–26.5%), 17.9% (95%CI = 8.4%–27.3%), and 29.3% (95% CI = 17.1%–41.5%) fewer CPD among participants in precontemplation, contemplation, and preparation stages, respectively. These findings suggest that complete smokefree home policy will benefit smokers in LMICs irrespective of their intention to quit smoking in addition to protecting non-smokers from secondhand smoke exposure.