Factors affecting exposure to nicotine and carbon monoxide in adult cigarette smokers

Exposure to cigarette smoke among smokers is highly variable. This variability has been attributed to differences in smoking behavior as measured by smoking topography, as well as other behavioral and subjective aspects of smoking. The objective of this study was to determine the factors affecting smoke exposure as estimated by biomarkers of exposure to nicotine and carbon monoxide (CO). In a multi-center cross-sectional study of 3585 adult smokers and 1077 adult nonsmokers, exposure to nicotine and CO was estimated by 24 h urinary excretion of nicotine and five of its metabolites and by blood carboxyhemoglobin, respectively. Number of cigarettes smoked per day (CPD) was determined from cigarette butts returned. Puffing parameters were determined through a CreSS® micro device and a 182-item adult smoker questionnaire (ASQ) was administered. The relationship between exposure and demographic factors, smoking machine measured tar yield and CPD was examined in a statistical model (Model A). Topography parameters were added to this model (Model B) which was further expanded (Model C) by adding selected questions from the ASQ identified by a data reduction process. In all the models, CPD was the most important and highest ranking factor determining daily exposure. Other statistically significant factors were number of years smoked, questions related to morning smoking, topography and tar yield categories. In conclusion, the models investigated in this analysis, explain about 30-40% of variability in exposure to nicotine and CO.     

Link between facultative melanin and tobacco use among African Americans

Nicotine's affinity for melanin-containing tissues may result from its precursor function in melanin synthesis or the irreversible binding of melanin and nicotine. The objective of this study was to investigate a hypothesized association of tobacco use, dependence, and nicotine exposure with melanin pigmentation among African American smokers. A criterion-based sample was employed to collect data from a study of 147 adult African American current smokers. Carbon monoxide, saliva cotinine samples, and skin reflectance measures were obtained from each participant. Questionnaire data on demographic, sociological and behavioral questions related to smoking and skin color were gathered. The three dependent measures were the average number of cigarettes per day (CPD), Fagerström Test of Nicotine Dependence (FTND) score, and cotinine concentration. Analysis of variance, Pearson Correlations, and Multiple Linear Regression were conducted to analyze findings. The mean constitutive melanin reading was 56.3 and 66.5 for facultative melanin. Respondents on average smoked 19 CPD, had a mean FTND of 5.6, and a cotinine concentration of 435 ng/ml. Facultative melanin level was correlated with CPD and cotinine concentration in the bivariate analysis. The multiple linear regression results revealed that facultative melanin was significantly and positively related to CPD, the FTND, and cotinine. The results of this analysis support the hypothesis of a positive association between melanin levels and tobacco use, dependence, and exposure among African American smokers. This analysis may have important implications for research and interventions on tobacco dependence and disease outcomes. Further research on melanin and nicotine among African Americans as well as other population groups is warranted.     

Exploring the Severity of Dependence Scale (SDS) as a possible measure of nicotine dependence

ABSTRACT

Background: The time to first cigarette (TTFC) of the day is an emerging single-item indicator of nicotine dependence due to its robust associations with indices of physical dependence. However, it is unclear if this measure adequately captures other dimensions of dependence. The Severity of Dependence Scale (SDS) is a brief questionnaire used to assess psychological aspects of dependence that has not yet been extensively applied to smoking research. Methods: We examined associations between the SDS and TTFC among 255 smokers during the baseline session of a cessation trial. We also examined associations of the SDS and TTFC with biobehavioral dependence indices, quitting behaviors, and cognitive-affective variables and compared the relative contributions of both measures in predicting these variables. Results: TTFC was unrelated to SDS total score, but was related to individual SDS items. TTFC, but not SDS, was correlated with indices of physical dependence (e.g., cigarettes per day [CPD], carbon monoxide [CO]). Both TTFC and SDS were associated with quitting behaviors, with opposite directionality of associations. TTFC and SDS were both associated with cognitive-affective variables, but SDS outperformed TTFC in strength and number of these relationships. Including both the SDS and TTFC as regression model predictors often increased the amount of variance explained. Conclusions: Findings suggest that SDS and TTFC assess different constructs of nicotine dependence; among smokers, the SDS appears to tap into nonphysical components of dependence (e.g., loss of control) that relate to quitting motivation and affect. Assessing nicotine dependence using only the SDS may fail to capture physical dependence and, further, may not reflect the same domains of addiction the SDS assesses in other drugs of abuse. Nonetheless, using 3 SDS items in addition to TTFC may offer utility over using TTFC alone.     

Menthol smoking in relation to time to first cigarette and cotinine: Results from a community-based study

Smokers who have their first cigarette shortly after waking, an indicator of nicotine dependence, have substantially higher cotinine levels. There is controversy regarding the role of menthol in nicotine dependence. We hypothesized that menthol smokers have a shorter time to first cigarette (TTFC), and tested whether any statistical association actually reflects increased dependence by measuring nicotine uptake (e.g. cotinine) in the same group of smokers. A cross-sectional community-based study was conducted that included 495 black and white daily cigarette smokers. Results showed a trend between menthol smoking and a shorter TTFC (P < 0.04 in blacks). Menthol was not an independent predictor of cotinine or an effect modifier with TTFC on cotinine levels in blacks and whites. These results show that while menthol in tobacco is associated with an indicator of nicotine dependence in blacks, menthol was not associated with biological uptake of nicotine in black and white smokers.     

The effect of menthol containing cigarettes on adult smokers’ exposure to nicotine and carbon monoxide

There is limited information comparing biomarkers of exposure (BOE) to cigarette smoke in menthol (MS) and non-menthol cigarette smokers (NMS). Objective: To compare BOE to nicotine and carbon monoxide in MS and NMS. Methods: Cross-sectional, observational, ambulatory, multi-centre study in 3341 adult cigarette smokers. Nicotine equivalents (NE) in 24 h urine, NE/cigarette, COHb and serum cotinine were measured. Statistical analyses included analysis of variance and Wilcoxon test. Results: Analyses of variance revealed no statistically significant effects of mentholated cigarettes on NE/24 h, COHb, serum cotinine and NE/cigarette. On average MS smoked 15.0 and NMS 16.8 cigarettes/day. The unadjusted mean differences were as follows: MS had lower NE/24 h (5.4%) and COHb (3.2%), higher serum cotinine (3.0%) and NE/cigarette (5.7%) than NMS. African-Americans MS smoked 40% fewer cigarettes, showed lower NE/24 h (24%) and COHb (10%) and higher NE/cig (29%) and serum cotinine (8%) levels than their White counterparts. Conclusions: Smoking mentholated cigarettes does not increase daily exposure to smoke constituents as measured by NE and COHb. These findings are consistent with the majority of epidemiological studies indicating no difference in smoking related risks between MS and NMS.     

The Fagerström Test for Nicotine Dependence in a Dutch sample of daily smokers and ex-smokers

We explored the performance of the Fagerström Test for Nicotine Dependence (FTND) in a sample of 1378 daily smokers and 1058 ex-smokers who participated in a survey study of the Netherlands Twin Register. FTND scores were higher for smokers than for ex-smokers. Nicotine dependence level was not associated with age. FTND score was highly correlated with the maximum number of cigarettes smoked (even after excluding the item ‘number of cigarettes per day’ from FTND), but the FTND score showed a low correlation with age of first cigarette and total number of years smoked. In a subsample of smokers (n=143) and ex-smokers (n=181) the test–retest correlations for the FTND were high. In general, the performance of the FTND in ex-smokers was comparable with that in smokers. These findings suggest the FTND to be a valuable tool for studies of nicotine dependence in large epidemiological samples.     

The relationship between the nicotine metabolite ratio and three self-report measures of nicotine dependence across sex and race

Rationale

Variability in the rate of nicotine metabolism, measured by the nicotine metabolite ratio (NMR), is associated with smoking behavior. However, data linking the NMR with nicotine dependence measured by the Fagerström test for nicotine dependence (FTND) are mixed. Few past studies have examined alternative measures of nicotine dependence and how this relationship may vary by sex and race.

Objective

Using data from smokers undergoing eligibility evaluation for a smoking cessation clinical trial (n?=?833), this study examined variability in the relationship between NMR and nicotine dependence across sex and race and using three measures of nicotine dependence: FTND, time-to-first-cigarette (TTFC), and the heaviness of smoking index (HSI).

Results

Controlling for sex and race, nicotine metabolism was associated with nicotine dependence only when using the HSI (p?<?0.05). Male normal metabolizers of nicotine were more likely to have high nicotine dependence based on the FTND and HSI (p?<?0.05), but NMR was not related to measures of nicotine dependence in women. For African Americans, the NMR was associated with nicotine dependence only for the TTFC (p?<?0.05), but NMR was not associated with nicotine dependence among Caucasians. Post hoc analyses indicated that the NMR was associated with cigarettes per day, overall, and among men and Caucasians (p?<?0.05).

Conclusions

While there was some variation in the relationship between nicotine metabolism and nicotine dependence across measures and sex and race, the results indicate that this relationship may be more attributable to the association between NMR and cigarettes per day.     

Concordance of different measures of nicotine dependence: two pilot studies

Two samples of adult daily smokers completed a structured interview to determine nicotine dependence according to generic (DSM-IV/ICD-10), Fagerstr?m [Fagerstr?m Tolerance Questionnaire (FTQ), Fagerstr?m Test for Nicotine Dependence (FTND), Heavy Smoking Index (HSI), and time to first cigarette after awakening (TFC)], consumption [e.g., cigarettes/day (CPD)], and self-rating (e.g., "how addicted are you") measures. One sample was a population-based sample of 43 smokers from the Vermont site of the DSM-IV field trial for substance use disorders. The other sample consisted of 50 smokers evenly distributed across a wide range of CPD to study biochemical markers of smokers. In the first study, DSM/ICD criteria were only slightly correlated with Fagerstr?m (r =.24-.35) and consumption (r =.06-0.33) criteria. Self-rating criteria were correlated moderately with most other criteria (r =.24-.60). In the second study, generic, Fagerstr?m, and self-rating criteria increased with increasing CPD up to 30 CPD but not thereafter. One interpretation of these results is that generic, Fagerstr?m, consumption, and self-rating criteria each tap different aspects of nicotine dependence.     

Relationship between machine-derived smoke yields and biomarkers in cigarette smokers in Germany

In order to determine whether smokers of cigarettes in the contemporary yield ranges of the German market (0.1-1.0mg nicotine, 1-10mg tar) differ in their actual exposure to various smoke constituents, we performed a field study with 274 smokers and 100 non-smokers. The following biomarkers were determined: In 24-h urine: Nicotine equivalents (molar sum of nicotine, cotinine, trans-3'-hydroxycotinine and their respective glucuronides), 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL, metabolite of the tobacco-specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone, NNK), 3-hydroxypropylmercapturic acid (metabolite of acrolein), trans,trans-muconic acid, S-phenylmercapturic acid (metabolites of benzene), 1-hydroxypyrene (metabolite of pyrene); in saliva: Cotinine and trans-3'-hydroxycotinine; in exhaled air: Carbon monoxide; in blood: Methyl-, hydroxyethyl-, cyanoethyl- (biomarker of acrylonitrile) and carbamoylethylvaline (biomarker of acrylamide) hemoglobin adducts. All biomarkers were found to be significantly higher in smokers compared to non-smokers and showed strong correlations with the daily cigarette consumption. Biomarker levels and per cigarette increases in smokers were at most weakly related to the machine-derived smoke yields. It is concluded that machine-derived yields of cigarettes from the contemporary German cigarette market have little or no impact on the actual smoking-related exposure determined by suitable biomarkers.     

Nicotine dependence among African American light smokers: a comparison of three scales

Approximately 50% of African American (AA) smokers are light smokers (smoke 相似文献   

Intolerance for smoking abstinence among nicotine-deprived,treatment-seeking smokers

IntroductionThe Intolerance for Smoking Abstinence Discomfort Questionnaire (IDQ-S) assesses distress tolerance specific to nicotine withdrawal. Though developed to assess withdrawal-related distress, the IDQ-S has not been validated among nicotine-deprived, treatment-seeking smokers. The present study extended previous research by examining the predictive utility of the IDQ-S among abstinent, motivated-to-quit smokers.MethodsAbstinent, treatment-seeking smokers completed the IDQ-S Withdrawal Intolerance and Lack of Cognitive Coping scales, assessments of nicotine dependence and reinforcement, and smoking history at baseline. At baseline and at 24-h, 2-week, and 1-month follow-up, participants completed a smoking cue-reactivity task (collection of cue-elicited craving and negative affect), and assessments of cigarettes per day (CPD; daily diaries at follow-up), carbon monoxide (CO), and cotinine.ResultsGreater IDQ-S Withdrawal Intolerance was associated with younger age, higher nicotine dependence and reinforcement, and less smoking years (ps < .03). Greater IDQ-S Lack of Cognitive Coping was associated with less education, lower nicotine dependence and reinforcement, higher baseline CPD, and no prior quit attempts (ps < .04). IDQ-S scales did not significantly predict cue-elicited craving or negative affect, CPD, CO, or cotinine levels at follow-up (ps > .10).ConclusionsWithdrawal intolerance and lack of cognitive coping did not predict smoking outcomes among nicotine-deprived, treatment-seeking smokers, but were associated with smoking characteristics, including nicotine dependence and reinforcement. Withdrawal intolerance and lack of cognitive coping may not be especially useful in predicting craving and smoking behavior, but future studies should replicate the present study's findings and assess the stability of the IDQ-S before forming firm conclusions about its predictive utility.     

Income as a moderator of psychological stress and nicotine dependence among adult smokers

BackgroundPerceived stress and psychological distress are associated with more cigarette craving and withdrawal, higher nicotine dependence, and less success during quit attempts. Low income smokers have disproportionately higher rates of smoking and may be particularly vulnerable to the effects of stress on smoking dependence. The aim of the current study was to assess if lower income smokers have a stronger association between stress and nicotine dependence than higher income smokers.MethodsData were obtained from the Pennsylvania Adult Smoking Study, which included 351 daily smokers. Subjects completed PhenX Toolkit and other self-report measures of socioeconomic factors, the 10-item Perceived Stress Scale, Kessler Psychological Distress Scale (K6), Fagerstrom Test for Nicotine Dependence (FTND), and the Hooked on Nicotine Checklist (HONC). Moderation analyses using linear regression examined income-related differences in the association between stress and nicotine dependence.ResultsIncome groups were categorized by an annual household income of $50,000 based on visual-inspection of scatter plots of income by nicotine dependence. Compared to higher income smokers, lower income smokers had significantly higher mean levels of nicotine dependence on the FTND [3.74 vs. 4.79, p < 0.001], perceived stress [15.63 vs. 17.95, p = 0.004], and psychological distress [5.30 vs. 6.86, p = 0.001], respectively. There were interaction effects, such that lower income smokers had a strong, positive associations between FTND and perceived stress (B = −0.11, CI = −0.17 to −0.04, p = 0.002) and psychological distress (B = −0.13, CI = −0.25 to −0.02, p = 0.022) whereas no association was found in higher income smokers. No significant moderation effects were found for the HONC or when income groups were categorized by U.S. federal poverty level.ConclusionsThe results highlight that the relationship between increasing stress and FTND was found in lower but not higher income groups. Future research should examine socioeconomic, environmental and psychosocial factors that may facilitate increased smoking during stress-induced craving.     

Predictors,Indicators, and Validated Measures of Dependence in Menthol Smokers

This article presents a comprehensive review of the menthol cigarette dependence-related literature and results from an original analysis of the Total Exposure Study (TES), which included 1,100 menthol and 2,400 nonmenthol adult smokers. The substantial scientific evidence available related to age of first cigarette, age of regular use, single-item dependence indicators (smoking frequency, cigarettes per day, time to first cigarette, night waking to smoke), smoking duration, numerous validated and widely accepted measures of nicotine/cigarette dependence, and our analysis of the TES do not support that menthol smokers are more dependent than nonmenthol smokers or that menthol increases dependence.     

Comparison of the Heavy Smoking Index and of the Fagerstrom Test for Nicotine Dependence in a sample of 749 cigarette smokers

Nicotine Dependence (FTND) was administered to a sample of 749 adult smokers. The Heavy Smoking Index (HSI) which combines two items of the FTND (the number of cigarettes per day and the time of the first cigarette of the day) was compared to the FTND. A cut-off score equal or greater than 4 on the HSI detected a similar rate of nicotine dependence as a cut-off score equal or greater than 6 on the FTND. HSI had good sensitivity (79.5%) and specificity (96.5%). The concordance between the two instruments was high (Cohen's kappa=0.74). The HSI performed as well on men as on women. The HSI provides a good measure of high nicotine dependence, particularly appropriate for epidemiological surveys.     

The relationship between smoking machine derived tar yields and biomarkers of exposure in adult cigarette smokers in the US

Comprehensive data on human exposure to smoke constituents from different machine-measured tar yield cigarettes is limited. Methods: This study used a stratified, cross-sectional, multi-center design to estimate biomarkers of exposure (BOE) from nicotine, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), pyrene, CO, acrolein, and 1,3-butadiene and their relationship to tar yield categories of cigarette in adult smokers in the U.S. 3625 adults smokers were enrolled into four tar categories 2.9 mg (T1), 3.0–6.9 mg (T2), 7.0–12.9 mg (T3), and 13.0 mg (T4). Biomarkers were measured in blood (carboxyhemoglobin, 4-aminobiphenyl-hemoglobin (4-ABP-Hb)-adducts, serum cotinine) and 24 h urine (nicotine and five metabolites, calculated as nicotine equivalents (NE), NNAL, 1-OH-pyrene, 3-HPMA, MHBMA and DHBMA). Data were analyzed using analysis of covariance (ANCOVA). Results: Tar was a significant factor for most biomarkers in the ANCOVA models. The largest least square mean differences between tar categories was 35% for NE per day, 28% for NE per cigarette, 36% for serum cotinine, 42% for NNAL per day, 29% for NNAL per cigarette, 26% for 1-OHP, 24% for COHb, 14% for 3-HPMA and 40% for 4-ABP-Hb. Variability in BOE ranged from 41% to 154% CV. Conclusions: There was a statistically significant effect of machine-measured tar yield on most BOE, which were generally lower with lower tar yield.     

Short-term clinical exposure evaluation of a third-generation electrically heated cigarette smoking system (EHCSS) in adult smokers

This randomized, controlled, forced-switching, open-label, parallel-group, single-center study in 100 male and female adult smokers evaluated 12 biomarkers of tobacco smoke exposure. We measured exposure to the following smoke constituents: nicotine, pyrene, tobacco-specific nitrosamines, three aromatic amines, carbon monoxide, benzene, acrolein, crotonaldehyde, and 1,3-butadiene. After baseline exposure determination, adult smokers of a conventional cigarette (CC) were switched to an electrically heated cigarette smoking system (EHCSS, Series K), continued smoking the CC, or stopped smoking (No-smoking) for 8 days in a controlled, confined, clinical setting. In the EHCSS group, the mean decrease from Baseline to Day 8 in the biomarkers of exposure ranged from 16% to 77% at Day 8 compared to Baseline. After adjusting for the residual effect (carryover effects due to long elimination half-life and non-tobacco confounding sources of exposure), the mean percent decrease from Baseline for all 12 biomarkers ranged from 47% to 90%. In conclusion, switching for 8 days from a conventional cigarette to the EHCSS substantially reduced exposure of adult smokers to several constituents of both the particulate and gas phases of cigarette smoke.     

Do current smokers use more cigarettes and become more dependent on nicotine because of psychological distress after a natural disaster?

Natural disasters increase nicotine dependence and cigarette consumption, but the exact mechanisms and conditions responsible for this increase are relatively unclear. This study explored whether posttraumatic stress and depressive symptoms were pathways to increased nicotine dependence and cigarette consumption after disaster exposure using a representative sample of current smokers who were living in New Orleans at the time Hurricane Katrina struck (n = 175), and a comparison sample of smokers from Memphis (n = 222) who were not directly impacted by Hurricane Katrina. We assessed whether nicotine dependence and daily cigarette consumption differed by city and evaluated potential mediators and moderators of this association using conditional process analysis. Results showed that though nicotine dependence (B = 0.46, SE = 0.20, p = .02) and average daily cigarette consumption (B = 2.19, SE = 0.80, p = .01) were higher among New Orleans than Memphis smokers 27 months after Hurricane Katrina, hurricane exposure did not indirectly affect nicotine dependence and average daily cigarette consumption through increases in posttraumatic stress and depressive symptoms. Smokers who are exposed to disasters may not be increasing their cigarette use and their dependency on nicotine because of post-disaster psychological distress. Future studies should investigate other mechanisms and conditions to explain post-disaster changes in smoking behavior.     

Comparison of the behavioral effects of cigarette smoke and pure nicotine in rats

Animal models of tobacco dependence typically rely on parenteral administration of pure nicotine. Models using cigarette smoke inhalation might more accurately simulate nicotine exposure in smokers. The primary goal of this study was to validate methods for administering cigarette smoke to rats using exposure conditions that were clinically relevant and also produced brain nicotine levels similar to those produced by behaviorally active doses of pure nicotine. A secondary goal was to begin examining the behavioral effects of smoke. Nose-only exposure (NOE) to smoke for 10-45 min or whole-body exposure (WBE) to smoke for 1-4 h produced serum nicotine concentrations similar to those in smokers (14-55 ng/ml), without excessive carbon monoxide exposure. Daily nicotine (0.1 mg/kg, s.c.) induced locomotor sensitization whereas 45-min NOE producing brain nicotine levels within the same range did not. Nicotine 0.125 mg/kg s.c. reversed withdrawal from a chronic nicotine infusion as measured by elevations in intracranial self-stimulation thresholds whereas 4-h WBE producing similar brain nicotine levels did not. These data demonstrate the feasibility of delivering cigarette smoke to rats at clinically relevant doses, and provide preliminary evidence that the behavioral effects of nicotine delivered in smoke may differ from those of pure nicotine.     

Additional validity evidence for the PROMIS Smoking Assessment Toolkit

IntroductionThe Patient Reported Outcomes Measurement Information System (PROMIS®) Smoking Initiative has developed six item banks for assessing smoking behaviors and biopsychosocial correlates of smoking among daily and nondaily adult cigarette smokers. This paper presents new validity evidence for the item banks including correlations of the item banks to the existing legacy measures of smoking (Fagerström Test of Nicotine Dependence (FTND), Questionnaire of Smoking Urges (QSU), and the Wisconsin Inventory of Smoking Dependence Motives (WISDM)).MethodsUsing data from a follow-up sample (N = 491) and a community sample (N = 369) of adult daily and nondaily smokers, we replicated the findings from Edelen et al. (2014a) and examined the correlations of legacy smoking measures with the new item bank scores.ResultsPreliminary validity findings were largely replicated with the new data. Correlations among the banks are moderate and bank score associations with measures of smoking behavior, quitting history, and other PROMIS measures follow expected patterns (e.g., nicotine dependence is most strongly associated with smoking quantity and time to first cigarette of the day; health and psychosocial expectancies are most related to quitting recency and interest). Correlations of bank scores with legacy measures are moderate to strong. The PROMIS nicotine dependence scores were most strongly associated with the legacy instruments.ConclusionsThese analyses provide strong evidence for the validity of the PROMIS Smoking item banks in two independent samples.     

Estimation of mouth level exposure to smoke constituents of cigarettes with different tar levels using filter analysis

A nicotine part-filter method can be applied to estimate smokers’ mouth level exposure (MLE) to smoke constituents. The objectives of this study were (1) to generate calibration curves for 47 smoke constituents, (2) to estimate MLE to selected smoke constituents using Japanese smokers of commercially available cigarettes covering a wide range of International Organization for Standardization tar yields (1–21 mg/cigarette), and (3) to investigate relationships between MLE estimates and various machine-smoking yields. Five cigarette brands were machine-smoked under 7 different smoking regimes and smoke constituents and nicotine content in part-filters were measured. Calibration curves were then generated. Spent cigarette filters were collected from a target of 50 smokers for each of the 15 brands and a total of 780 filters were obtained. Nicotine content in part-filters was then measured and MLE to each smoke constituent was estimated. Strong correlations were identified between nicotine content in part-filters and 41 out of the 47 smoke constituent yields. Estimates of MLE to acetaldehyde, acrolein, 1,3-butadiene, benzene, benzo[a]pyrene, carbon monoxide, and tar showed significant negative correlations with corresponding constituent yields per mg nicotine under the Health Canada Intense smoking regime, whereas significant positive correlations were observed for N-nitrosonornicotine and (4-methylnitrosoamino)-1-(3-pyridyl)-1-butanone.