Heaviness Of Smoking Index Scores Research Articles

Comparing the Fagerström Test and Heaviness of Smoking Index in Predicting Smoking Abstinence in Cancer Patients.

People with cancer who smoke exhibit greater cigarette dependence than people without cancer who smoke, a crucial factor in smoking cessation. Research is limited on the predictive potential of the Fagerström Test for Cigarette Dependence (FTCD) and the Heaviness of Smoking Index (HSI) on smoking abstinence in cancer patients undergoing smoking cessation treatment. We analyzed data from 5,934 cancer patients seeking smoking cessation treatment at The University of Texas MD Anderson Cancer Center (female 52.08%; Mean age = 55.52, SD = 11.17). We evaluated the predictive accuracy of FTCD and HSI on abstinence at 3-, 6-, and 9-months from first consultation, and assessed the concordance between these tools in measuring cigarette dependence using Cohen's kappa test and different correlation and regression models. We also analyzed variations across sex at birth and race/ethnicity. Both the FTCD and the HSI demonstrated comparable predictive accuracy for smoking cessation at all follow-ups, with neither showing high accuracy (Areas Under the Curve scores around 0.6). Concordance analysis revealed substantial agreement between FTCD and HSI scores (Cohen's kappa ~ 0.7), particularly at lower levels of dependence. However, this agreement varied by race, with reduced concordance observed in Non-Hispanic Blacks. Our results indicate that both the FTCD and HSI are effective tools for predicting smoking cessation in cancer patients, with the HSI offering a less burdensome assessment option. Nevertheless, the findings suggest the need for tailored approaches in assessing cigarette dependence that could predict smoking cessation more accurately, considering racial differences. The burden of assessing cigarette dependence in cancer care settings can be reduced by using the HSI instead of the FTCD. In addition, both instruments could be substantially interchanged and used for meta-analytic studies examining dependence and abstinence, but race/ethnicity should be considered.

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.

Gambling, tobacco use, and health among individuals in substance use disorder treatment.

Gambling is highly comorbid with disordered use of tobacco and other drugs, and may increase relapse risk among substance use disorder (SUD) patients. We investigated associations between gambling and tobacco use behaviors among SUD patients to inform clinical care. Patients (N = 651, 170 female) from 25 residential SUD treatment programs in California completed surveys about tobacco use, health, and gambling. Using multivariate regression, we examined associations between gambling, tobacco use behaviors, and mental and physical health. Past-year gamblers were more likely than non-gamblers to be current smokers (adjusted odds ratio [AOR] = 1.44, 95% confidence interval [CI] = 1.03, 2.01). Smokers who gambled had higher mean Heaviness of Smoking Index (HSI) scores (mean difference = +0.32, 95% CI = 0.04, 0.60), and more often reported smokeless tobacco use (AOR = 1.73, 95% CI = 1.16, 2.58), compared to non-gambling smokers. Past-year problem gamblers were more likely than all others (non-gamblers and non-problem gamblers) to be current smokers (AOR = 1.44, 95% CI = 1.08, 1.90) and to report high psychosocial stress (AOR = 1.87, 95% CI = 1.34, 2.61). Smokers with problem gambling also had higher HSI scores (mean difference = +0.54, 95% CI = 0.14, 0.95) compared to smokers without problem gambling. Gambling and problem gambling were associated with tobacco use and heavier smoking. SUD patients with gambling comorbidity may be heavier smokers and may need concurrent treatment for tobacco use and problem gambling. This study provides novel data regarding gambling and tobacco use behaviors among SUD patients.

Assessing the Evidence on the Differential Impact of Menthol versus Non-menthol Cigarette Use on Smoking Dependence in the US Population: A Systematic Review and Meta-analysis.

Background: Menthol's effect on cigarette smoking behaviors is an intensely scrutinized US public health issue. This systematic review and meta-analysis examined the question: Does menthol cigarette use have a differential impact on smoking dependence compared with non-menthol cigarette use? Methods: We consulted 6 databases from inception to October 15, 2021. We included articles comparing menthol versus non-menthol cigarette smokers against predefined smoking dependence outcomes. Risk of bias was assessed using the AHRQ Evidence-Based Practice Center approach. We applied a random-effects model to pool adjusted odds ratios. Results: We synthesized 37 demographically adjusted studies. Meta-analytic results suggested non-menthol smokers were equally/more likely to report daily versus non-daily smoking; menthol use was associated with needing a cigarette within one hour; cigarettes per day was not associated with menthol use; menthol use was associated with a low (vs high) Heaviness of Smoking Index score; and results were either non-significant or associated menthol use with lower TTFC. Conclusions: Despite consistently good or fair quality adjusted studies across several measures, results were discordant depending on measures used and means of measurement. Overall, the evidence is insufficient to draw clear conclusions on a differential association between menthol (vs non-menthol) cigarette use and smoking dependence.

Smartphone Application for Smoking Cessation (Quit with US): A Randomized Controlled Trial among Young Adult Light Smokers in Thailand.

This study aimed to determine the efficacy of a smartphone application named Quit with US among young adult smokers. An open-label, parallel, 2-group, randomized controlled trial with a 12-week follow-up was conducted between March and November 2020 among undergraduate students (18 to 24 years) in Chiang Mai Province, Thailand. A total of 273 participants were assigned by simple randomization procedure to the Quit with US intervention group (n = 137) or the control group (n = 136). All participants received pharmacists’ smoking cessation counseling at baseline and follow-ups. In addition, the intervention group’s participants were advised to use Quit with US. The baseline and 12-week follow-up assessments were conducted at a study unit, whereas other follow-ups were completed over the telephone. The primary abstinence outcome was the exhaled CO concentration level (≤6 ppm) verified 7-day point prevalence abstinence. At baseline, the participants’ mean (standard deviation) age was 21.06 (1.62) years. Most identified as daily smokers (57.9%, n = 158), consumed ≤10 cigarettes daily (89.4%, n = 244), and expressed low level of nicotine dependence as measured by Heaviness of Smoking Index score (86.1%, n = 235). Regarding intention-to-treat analyses, participants in the Quit with US intervention group achieved significantly greater smoking abstinence rate than those in the control group (58.4% (80/137) vs. 30.9% (42/136), risk ratio = 1.89, 95% confidence intervals = 1.42 to 2.52, p < 0.001). In conclusion, Quit with US integrated with pharmacists’ smoking cessation counseling significantly enhanced smoking abstinence rates among young adult light smokers consuming ≤ 10 cigarettes daily.

Influence of catechol-O-methyltransferase enzyme gene polymorphism on alcohol and tobacco consumption in North Indian treatment seeking population

Background:The co-occurrence of alcohol and tobacco dependence is frequently witnessed in treatment settings. It is a challenge for clinicians to treat such patients due to their powerful biological association.Aim:The study is aimed to assess the relationship of Catechol-O-methyltransferase (COMT) Val158Met polymorphism with substance intake among individuals who are dependent on both alcohol and tobacco.Materials and Methods:A cross-sectional study involving patients coming to the outpatient department was planned. Brief information on their sociodemographic and substance use profile was recorded. Genotyping of COMT Val158Met was carried out using established polymerase chain reaction-restriction fragment length polymorphism method. The COMT genotyping was classified based on the presence or absence of Met allele using the dominant model. Descriptive statistics, Chi-square test, Mann–Whitney test, and Binary logistic regression analysis were performed to analyze the data.Results:The study included 104 alcohol and nicotine co-dependent subjects. More than eighty percent of the participants were educated above secondary level, married, and employed. The allele frequencies of met and Val were found to be 0.23 and 0.77, respectively. Forty percent of the participants reported tobacco-related health problems. The odds of consuming alcohol and nicotine were four times high among Met allele carriers. While the Fagerström test for nicotine dependence and heaviness of smoking index scores were up to four and eight times higher among met allele (odds ratio 4.3 and 8.9, respectively).Conclusion:Patients carrying Met allele are reported to consume higher amounts of alcohol and tobacco and were likely to score high among measures of nicotine dependence. Thus met allele carriers needs additional attention for a successful treatment outcome.

Menthol Cigarettes and Smoking Cessation among Adult Smokers in the US.

Objectives: In this study, we identified differences in cessation, nicotine dependence, and quit attempts between smokers using non-menthol cigarettes and smokers using menthol cigarettes differing in menthol delivery method (eg, menthol in the tobacco only, crushable capsules only or both). Methods: We analyzed data from the Population Assessment of Tobacco and Health Study, Waves 1 and 2 (W1 and W2), to determine associations of delivery method of menthol with cessation, nicotine dependence, and quit attempts among current adult cigarette smokers. Results: Nearly 40% of US smokers reported using a mentholated cigarette product with most using a product mentholated in the tobacco only. Smokers included in this analysis had a moderate to low heaviness of smoking index score. The lowest average score was among those using products mentholated in a filter capsule only (1.3, SE = .10), and the highest among those using non-mentholated products (2.4, SE = .03). About 12% of smokers quit between W1 and W2. Cessation, nicotine dependence, and quit attempts at W2 were not associated with delivery method of menthol at W1. Conclusions: Method of menthol delivery did not impact cessation, nicotine dependence, and quit attempts.

Effect of the different smoking cessation regimens with acupuncture on smoking withdrawal and their influence factors: a multi-center randomized controlled trial

To evaluate the clinical effect of acupuncture on smoking cessation and withdrawal symptoms and to explore the influence factors of acupuncture on smoking cessation. A total of 500 subjects with tobacco dependence were randomized into an acupuncture group, an auricular therapy group, an acupuncture plus auricular therapy group, a TENS group and a nicotine replacement therapy group (NRT group), 100 cases in each one. In the acupuncture group, acupuncture was applied at Baihui (GV 20), Lieque (LU 7), Hegu (LI 4) and Zusanli (ST 36). The treatment was given 5 times a week, once a day in the first 2 weeks. The treatment was given once every 2 days in the week 3 and 4, 3 times a week, and twice a week, once every 3 days in the week 5 to 8. In the auricular therapy group, the ear point pressure therapy was used at shenmen (TF4), neifenmi (CO18), pizhixia (AT4) and jiaogan (AH6a), 3 times a week. In the acupuncture plus auricular therapy group, acupuncture and auricular therapy were adopted with the same points and manipulation as the previous two groups. Acupuncture was given 3 times a week and the auricular therapy was given twice a week. In the TENS group, SDZ-Ⅱ B type electric acupuncture apparatus was used to stimulate Lieque (LU 7) and Zusanli (ST 36), once a day. In the NRT group, the nicotine patch was used on the chest, back and the upper arms of the subjects, once a day. The duration of treatment was 8 weeks as one course in every group. Afterwards, the 16-week follow-up was conducted. The time-point withdrawal rate was evaluated by the level of urine cotinine in 8 weeks of treatment and in the follow-up in the subjects of 5 groups. The persistent withdrawal rate was evaluated by the self-report of the subjects in 8 weeks of treatment as well as in the follow-up in the 5 groups. The withdrawal effect, the score of the fagerstrom test for nicotine dependence (FTND) and the score of the heaviness of smoking index (HSI) were compared among the groups. Twenty indexes were selected as the potential influence factors, the 72 h withdrawal rate based on the level of urine cotinine in 8 weeks of treatment and in the follow-up was taken as the dependent variable. Using the two categories of Logistic regression analysis, the influence factors of therapeutic effect of acupuncture were screened for smoking cessation. After 8 weeks of treatment, the time-point withdrawal rate in the subjects among the groups was NRT group > acupuncture plus auricular therapy group > auricular therapy group > acupuncture group > TENS group. In the follow-up, the time-point withdrawal rate was acupuncture plus auricular therapy group > NRT group > acupuncture group > TENS group > auricular therapy group, but without statistical significance in comparison (P>0.05). After 8 weeks of treatment, the persistent withdrawal rate in the subjects among the groups was auricular therapy group > TENS group > acupuncture group > acupuncture plus auricular therapy group > NRT group. In the follow-up visit, the persistent withdrawal rate was auricular therapy group > TENS group > acupuncture plus auricular therapy group > acupuncture group > NRT group. The result in the auricular therapy group was better than all of the other 4 groups (P<0.05). Except in the follow-up visit, FTND score in the acupuncture group was lower than the auricular therapy group (P<0.05), FTND score and HSI score were not different significantly in statistics among the groups either in 8 weeks of treatment or in the follow-up (P>0.05). The regression analysis showed that the factors, i.e. nationality, educational background, drinking frequency, pre-treatment FTND score, pre-treatment HSI score and smoking cessation for physical reason in family, were correlated significantly with the withdrawal result after 8-week treatment (P<0.05). The factors, i.e. education background, smoking age, pre-treatment FTND score and different therapeutic methods, were correlated significantly with the withdrawal result in the follow-up (P<0.05). Acupuncture combined with auricular therapy effectively reduce nicotine dependence and smoking intensity and relieve withdrawal symptoms. There are many factors that affect the withdrawal effect in smoking cessation. Hence, the influence factors in smoking cessation with acupuncture should be clearly determined so as to develop the individual regimen for smoking cessation and improve the clinical therapeutic effect of acupuncture on smoking cessation.

Fagerström Test and Heaviness Smoking Index. Are they Interchangeable as a Dependence Test for Nicotine?

Objective: The purpose of this study was to evaluate the degree of agreement between the Fagerström Test for Cigarette Dependence (FTCD) and the Heaviness of Smoking Index (HSI) in daily smokers admitted to smoking cessation clinics from National Healthcare System in Spain and Argentine Republic. Material and methods: An observational, longitudinal, multicenter study (prospective cohort) conducted in smoking clinics in daily clinical practice. The patients were consecutively included as they attended the consultations. The statistical analysis was descriptive, and correlation and concordance tests as well as analysis and regression models were used. Results: In total, 308 subjects were included [161 women (52.3%)], with a mean age of 51.4 (10.8) years. We found an absence of agreement and the existence of a proportional difference between both tests [Regression coefficient for global series: 0.55 (0.52–0.59) p < .001]. This difference increased as the value of the FTCD score increased; that is, the higher the value of the FTCD score was, the greater the difference in relation to the value of the HSI score. Likewise, Cohen’s kappa concordance coefficient, according to various combinations of categorization of both tests, showed that the agreement between these variables was only good. Approximately 20% of the subjects were not classified with the same degree of dependence by the two tests. Thus, a classification mismatch existed. Conclusions: We found an absence of agreement between both tests. These data imply that we should not substitute one test for the other when we analyze nicotine dependence in a population of smokers.

Smoking among female daily smokers in Surabaya, Indonesia

ObjectivesNationally representative studies suggest 1–2% of Indonesian women (2.3 million) smoke various tobacco products daily; however, in recent years, there has been concern that the tobacco industry has successfully increased female smoking. Our objective was to describe current cigarette smoking behaviors, past quit attempts, and intention to quit of female daily smokers in Surabaya, Indonesia. Study designSurvey. MethodsFemale daily smokers (n = 112) in Surabaya, Indonesia, the country's second largest city, were recruited to participate in a survey during 2018. Convenience sampling was utilized in two malls. Potential participants were intercepted in or near designated smoking areas and invited to the nearby data collection site. Survey items from Global Adult Tobacco Survey and the International Tobacco Control Policy Evaluation Project were utilized. ResultsParticipants self-reported smoking 13.8 cigarettes per day (7.3 white machine-rolled cigarettes per day, 4.2 kreteks per day, and 2.4 roll-your-own cigarettes per day). Over 75% smoked their first cigarette within 30 min of waking. Over 53% had a heaviness of smoking index score suggesting moderate or high addiction. Approximately half (51%) did not attempt to quit smoking in the previous 12 months, and 55% planned to quit beyond 6 months or not at all. ConclusionsOur sample smoked five to six more cigarettes per day than female daily smokers in previous national surveys. Relative to previous studies, our data suggest an unexpected preference for white machine-rolled cigarettes and that there could be, at a minimum, pockets of increased smoking and addiction among female daily smokers in Indonesia.

Pilot Study of an Internet-Based, Simulated Teachable Moment for Smoking Cessation

AbstractIntroductionThe internet has the potential to overcome geographic limitations for smoking cessation interventions, but further telehealth-based studies of utility are required.AimsTo investigate the efficacy of an internet-based version of a quit smoking approach using a personalised video to create a simulated teachable moment.MethodsSmokers within Australia were recruited through a dedicated website. After consent, eligible subjects, aged ≥30 years with a non-smoking partner, uploaded pictures of themselves, their partner and family, to be inserted into a video depicting the subject having a heart attack due to smoking, with consequences to them and their family. Nicotine replacement therapy (NRT) began prior to the quit attempt. The video was shown during two videoconference counselling sessions, with follow-up phone calls and text messaging support. Smoking status at 6 months by self-report (primary endpoint) was verified by partner/proxy and salivary cotinine (NicAlert™).Results/FindingsSeventy seven smokers were screened, of whom 50 were eligible, and 17 of these (34%) were enrolled; 11 men and 6 women, aged 41.5 ± 6.9 years, daily cigarette consumption 20.8 ± 8.9, Heaviness of Smoking Index score 3.7 ± 1.7. Participants reported feeling personally involved with the video (5.9 ± 1.1), which felt real (5.8 ± 1.1) and emotionally moving (5.6 ± 1.5) [7-point Likert Scale]. A similar video response was reported by the four participants (24%), who due to bandwidth limitations, watched the video after the counselling session instead of during it. Non-smoking rates at 6 months were 65% (11/17) by self-report with proxy confirmation, and 47% (8/17) by self-report with biologic confirmation. Three non-smokers by self-report could not provide a valid NicAlert™ result due to current NRT use. One participant who by self-report smoked once in the prior 14-days was assessed as a non-smoker by both proxy and NicAlert™.ConclusionsThis pilot study demonstrates efficacy for an internet-based version of a quit smoking program based on creating a simulated teachable moment. The findings provide support for further research into this technique, with the internet enabling greater reach than face-to-face.

Smoking Cessation Treatment for Patients With Mental Disorders Using CBT and Combined Pharmacotherapy

ABSTRACTObjectives: The aim of this study was to investigate smoking treatment effectiveness and retention in a population with and without mental disorders (MD). Participants received cognitive behavioral therapy (CBT) plus nicotine patch alone or in combination with other medications (i.e., gum, bupropion, or nortriptyline) for smoking cessation treatment in a Brazilian Psychosocial Care Center unit (CAPS), taking into account sociodemographics and smoking profile covariates. Methods: The study involved comparison of treatment success (seven-day point prevalence abstinence at the end of the treatment) and retention (presence of the individual in all of the four medical consultations and six group sessions) in two subsamples of patients with MD (n = 267) and without MD (n = 397) who were included in a six-week treatment provided by a CAPS from 2007 to 2013. The treatment protocol comprised group CBT and pharmacotherapy (nicotine patches, nicotine gums, and bupropion and nortriptyline available, prescribed by psychiatrists). Results: Within patients with MD, CBT plus nicotine patch plus bupropion (aOR = 2.00, 95% CI [1.14, 3.50], p = .015) and CBT plus nicotine patch plus gum (aOR = 2.10, 95% CI [1.04, 4.23], p = .036) were associated with treatment success. Within patients without MD, female gender (aOR = 0.60, 95% CI [0.37, 0.95], p = .031) and lower Heaviness of Smoking Index score (aOR = 0.80, 95% CI [0.65, 0.99], p = .048) were associated with treatment success. No variable was associated with dropout or retention within patients with or without MD. Conclusion: Our findings support the use of CBT plus nicotine patch plus bupropion as well as CBT plus nicotine patch plus gum in samples with high rates of medical, psychiatric, and addiction disorders. These findings support those of previous studies in the general population. Pharmacological treatment associated with group CBT based on cognitive-behavioral concepts and combined with ongoing MD treatment seems to be the best option for smoking cessation treatment among patients with MD. Units that deal with patients with MD, such as CAPS in Brazil, should be encouraged to treat smoking addiction in this population. Future studies should investigate retention rates in other samples of patients with MD.

Assessment of nicotine dependence among smokers in Nepal: a community based cross-sectional study.

BackgroundThe Fagerström Test for Nicotine Dependence (FTND) and Heaviness of Smoking Index (HSI) are extensively used methods to measure the severity of nicotine dependence among smokers. The primary objective of the study was to assess the nicotine dependence amongst currently smoking Nepalese population.MethodsA community based cross-sectional study was conducted between August and November 2014. Information was collected using semi-structured questionnaire from three districts of Nepal. Data on demographic characteristics, history of tobacco use and level of nicotine dependence were collected from 587 smokers through face to face interviews and self-administered questionnaires. Non-parametric test were used to compare significant differences among different variables.ResultsThe median age of respondents was 28 (Inter-Quartile Range: 22–40) years and the median duration of smoking was 10 (5–15) years. Similarly, the median age for smoking initiation was 16 (13–20) years and the median smoking pack year was 4.2 (1.5–12). One third of the respondents consumed smokeless tobacco products. Half of the respondents wanted to quit smoking. The median score for FTND and HSI was 4 (2–5) and 2 (0–3) respectively. There was significant difference in median FTND score with place of residence (p = 0.03), year of smoking (p = 0.03), age at smoking initiation (p = 0.02), smoking pack year (p < 0.001) and consumption of smokeless products (p < 0.05). Similarly, there was also significant difference in median HSI score with year of smoking (p = 0.002), age of smoking initiation (p < 0.001), smoking pack year (p < 0.001), and consumption of smokeless products (p < 0.05). As per FTND test score, two in ten current smokers had high nicotine dependence (FTND > 6), and HSI scored that three in ten current smokers had high nicotine dependence (HSI > 3).ConclusionOur finding revealed that nicotine dependence is prevalent among Nepalese smoking population. Further studies are required for assurance of tools through bio-markers. Next, smoking cessation program need to be developed considering level of nicotine dependence and pattern of tobacco use.

Dependence in a national sample of Aboriginal and Torres Strait Islander daily smokers.

To examine indicators of nicotine dependence in a national sample of Aboriginal and Torres Strait Islander daily smokers and their association with sustaining a quit attempt for at least 1 month, and to make comparisons with a national sample of Australian daily smokers. The Talking About The Smokes project used a quota sampling design to recruit 1392 daily smokers from communities served by 34 Aboriginal community-controlled health services and one community in the Torres Strait from April 2012 to October 2013. These were compared with 1010 daily smokers from the general Australian population surveyed by the International Tobacco Control Policy Evaluation Project from September 2011 to February 2012. Cigarettes per day (CPD), time to first cigarette, Heaviness of Smoking Index (HSI), other indicators of dependence, and whether smokers had ever sustained a quit attempt for at least 1 month. There was little difference in the mean HSI scores for Aboriginal and Torres Strait Islander and other Australian daily smokers. A higher proportion of Aboriginal and Torres Strait Islander daily smokers smoked ≤10 CPD (40% v 33.4%), but more also smoked their first cigarette within 30 minutes of waking (75% v 64.6%). Lower proportions of Aboriginal and Torres Strait Islander smokers reported having strong urges to smoke at least several times a day (51% v 60.7%) or that it would be very hard to quit (39% v 47.9%). Most Aboriginal and Torres Strait Islander smokers reported experiencing difficulties during their most recent quit attempt. All indicators of dependence, except CPD and strong urges, were positively associated with not having made a sustained quit attempt. Reported difficulties during the most recent quit attempt were more strongly associated with being unable to sustain quit attempts than were traditional measures of dependence. Aboriginal and Torres Strait Islander smokers' experiences of past attempts to quit may be more useful than conventional indicators of nicotine dependence in understanding their dependence.

A functional polymorphism in the interleukin-1beta and severity of nicotine dependence in male schizophrenia: A case-control study

Previous studies have shown that the functional 511C/T polymorphism in the IL-1beta-gene may be implicated in the susceptibility for schizophrenia. Moreover, recent studies suggested that IL-1 participates in the progression of lung disease in smokers, which are overrepresented in schizophrenia. We aimed to investigate the possible relationship between the IL-1beta-511C/T polymorphism and smoking behavior in schizophrenia versus healthy controls in a Chinese population. The IL-1beta-511C/T polymorphism was genotyped in 638 male patients with chronic schizophrenia (smoker/never-smoker = 486/152) and 469 male controls (smoker/never-smoker = 243/226). The cigarettes smoked per day, the Heaviness of Smoking Index (HSI) and the Fagerstrom Test for nicotine dependence (FTND) were assessed. Patients were also rated on the Positive and Negative Syndrome Scale (PANSS). The results showed no significant differences in genotype and allele distribution between patients and controls, and between smokers and never-smokers in either the patient or control group. However, in patients, smokers with the C/C genotype had significantly higher HSI (p < 0.005) and FTND (p < 0.05) scores than smokers with the T/T genotype, without significant differences in controls. Furthermore, there was a linear positive correlation between the number of C alleles and the HSI (p < 0.005) in patients. Our findings suggest that the IL-1beta-511C/T polymorphism may not be related to schizophrenia or smoking status in Chinese individuals, but may affect the severity of nicotine dependence among male smokers with schizophrenia.

Smoking and BDNF Val66Met polymorphism in male schizophrenia: A case-control study

Some recent studies show an association between a functional polymorphism of BDNF gene (Val66Met) and the susceptibility to nicotine dependence and we hypothesized that this polymorphism was associated with smoking in both schizophrenia patients and healthy controls. The BDNF Val66Met gene polymorphism was genotyped in 690 chronic male schizophrenia patients (smoker/nonsmoker = 522/169) and 628 male controls (smoker/nonsmoker = 322/306) using a case-control design. Nicotine dependence (ND) was assessed by the cigarettes smoked per day (CPD), the Heaviness of Smoking Index (HSI), and the Fagerstrom Test for ND (FTND). Patients also were rated on the Positive and Negative Syndrome Scale (PANSS). The results showed no significant differences in BDNF Val66Met genotype and allele distributions between the patients and healthy controls or between smokers and nonsmokers in either patients or healthy controls alone. In patient groups, however, the smokers with the Met allele had significantly higher HSI scores (Met/Met: 2.8 ± 1.7 vs. Met/Val: 2.2 ± 1.7 vs. Val/Val: 2.0 ± 1.6, p < 0.01) and a trend toward a significantly higher FTND score (p = 0.09) than those with the Val/Val genotype. In addition, the smokers showed significantly lower PANSS negative symptom and total scores, longer duration of illness and more hospitalizations (all p < 0.05). In the control group, the smokers with the Met allele started smoking significantly earlier than those with the Val/Val genotype (both p < 0.05). These results suggest that the BDNF Val66Met polymorphism may affect a smoker's response to nicotine in both schizophrenia and healthy controls from a Chinese Han population, but with differential effects in different aspects of smoking behaviors.

Smoking, nicotine dependence and nicotine intake by socio-economic status and marital status

IntroductionLow socio-economic status (SES) is strongly related to smoking, but studies examining the association of SES with nicotine dependence (ND) are scarce. The aim of this study was to examine the associations of SES and marital status with smoking, multiple measures of ND, and cotinine as a nicotine intake biomarker. MethodsThe sample comprised 1746 ever smokers, sampled from the National FINRISK 2007 Study, who had completed a tobacco specific questionnaire in addition to the standard clinical examination. The Fagerström Test for Nicotine Dependence (FTND), the Heaviness of Smoking Index (HSI), the Nicotine Dependence Syndrome Scale (NDSS), and the Hooked On Nicotine Checklist (HONC) were assessed, while plasma cotinine was measured as a biomarker of nicotine exposure in daily smokers. Univariate and multivariate associations were assessed by linear regression and multinomial logistic regression. ResultsIn multivariate models, lower education was associated with higher FTND and HSI, income with HSI, and occupation with HSI (men only), FTND, HONC and NDSS scores. Lower education was related to higher cotinine levels among daily smokers, although the association diminished slightly after adjusting for daily smoking amount. Living without a spouse was associated with daily smoking and higher ND. ConclusionIn this cross-sectional study low SES was linked with higher ND among current smokers, while low SES was associated with higher cotinine levels among daily smokers. Living alone was linked with higher ND. Longitudinal studies are warranted to further explore these associations. As lower SES smokers are more addicted they may need more targeted cessation services to succeed in quitting smoking.

Does Self-Rated Addiction and the Heaviness of Smoking Index Predict Nicotine Replacement Therapy Product Use in Adolescent Smokers?

Few studies have examined predictors of nicotine replacement therapy (NRT) product use among adolescents. Using a population-based sample of 14- to 18-year-olds, we examined if self-rated addiction and Heaviness of Smoking Index (HSI) were associated with NRT use in 913 daily smokers. The ever-use prevalence of NRT was 24%. Boys smoked more cigarettes per day than girls and scored higher on HSI, but they perceived themselves to be less addicted. Compared to nonusers, a greater proportion of NRT users perceived themselves as addicted and demonstrated greater dependence on HSI. Perceiving oneself as addicted and having high HSI scores were associated with NRT use.

Nicotine Dependence and Biochemical Exposure Measures in the Second Trimester of Pregnancy

Introduction:The Heaviness of Smoking Index (HSI) is validated to measure nicotine dependence in nonpregnant smokers, and in these smokers, mean salivary and serum cotinine levels are related by a ratio of 1.25. However, as nicotine metabolism increases during gestation, these findings may differ in pregnancy. We investigated the validity of HSI in pregnancy by comparing this with 3 biochemical measures; in a search for a less-invasive cotinine measure in pregnancy, we also explored the relationship between mean blood and salivary cotinine levels.Methods:Cross-sectional analyses using baseline data from the Smoking, Nicotine, and Pregnancy Trial. Participants were 16–46 years old, 12–24 weeks gestation, smoked more than 5 cigarettes per day, and had exhaled carbon monoxide (CO) readings of at least 8 ppm. Linear regression was used to examine correlations between HSI and blood cotinine and salivary cotinine and exhaled CO. Correlation between blood and salivary cotinine was investigated using linear regression through the origin.Results:HSI scores were associated with blood cotinine (R 2 = 0.20, n = 662, p < .001), salivary cotinine (R 2 = 0.11, n = 967, p < .001), and exhaled CO (R 2 = 0.13, n = 1,050, p < .001). Salivary and blood cotinine levels, taken simultaneously, were highly correlated (R 2 = 0.91, n = 628, p < .001) and the saliva:blood level ratio was 1.01 (95% CI 0.99–1.04).Conclusions:Correlations between HSI and biochemical measures in pregnancy were comparable with those obtained outside pregnancy, suggesting that HSI has similar validity in pregnant smokers. Salivary and blood cotinine levels are roughly equivalent in pregnant smokers.

What aspect of dependence does the fagerström test for nicotine dependence measure?

Although the Fagerström Test for Nicotine Dependence (FTND) and the Heaviness of Smoking Index (HSI) are widely used, there is a uncertainty regarding what is measured by these scales. We examined associations between these instruments and items assessing different aspects of dependence. Adult current smokers (n = 422, mean age 33.3 years, 61.9% female) completed a web-based survey comprised of items related to demographics and smoking behavior plus (1) the FTND and HSI; (2) the Autonomy over Tobacco Scale (AUTOS) with subscales measuring Withdrawal, Psychological Dependence, and Cue-Induced Cravings; (3) 6 questions tapping smokers' wanting, craving, or needing experiences in response to withdrawal and the latency to each experience during abstinence; (4) 3 items concerning how smokers prepare to cope with periods of abstinence. In regression analyses the Withdrawal subscale of the AUTOS was the strongest predictor of FTND and HSI scores, followed by taking precautions not to run out of cigarettes or smoking extra to prepare for abstinence. The FTND and its six items, including the HSI, consistently showed the strongest correlations with withdrawal, suggesting that the behaviors described by the items of the FTND are primarily indicative of a difficulty maintaining abstinence because of withdrawal symptoms.