Wisconsin Inventory Of Smoking Dependence Motives Research Articles

Smoking Dependence, Time-Discounting, and Sustained Cessation Behavior: A Longitudinal Study of Predominantly Light Smokers.

This study aimed to assess whether two established psychosocial predictors of smoking abstinence, nicotine dependence and time-discounting, also apply to a population of predominantly cigarette light smokers, which is the dominant pattern of smoking in countries like Mexico. Relatively infrequent smoking is increasingly prevalent, yet still harmful, making it important to understand the predictors of cessation in this population. Mexican adult smokers recruited from an online consumer panel were surveyed every 4 months between November 2018 and July 2020. We considered respondents who reported a quit attempt in between surveys (n = 1288). Dependence was measured with a 10-item version of the Wisconsin Inventory of Smoking Dependence Motives (WISDM). Time-discounting was assessed with five branching questions about hypothetical reward scenarios. Logistic models regressed sustained quit attempts (≥30 days of abstinence) at time t + 1 on study variables at time t. We found strong interitem reliability (α = 0.92) and intraindividual consistency of our brief WISDM (ρ = 0.68), but moderate intraindividual consistency of the time-discounting measure (ρ = 0.48). Forty-eight percent of the sample reported sustained quit attempts, and 79% were non-daily or light daily smokers (≤5 cigarettes per day). Smokers with higher WISDM-10 had lower odds of sustained quitting and this result remained when controlling for smoking frequency and the Heaviness of Smoking Index (adjusted odds ratio [AOR] = 0.768). Time-discounting was unassociated with sustained quitting. Our findings suggest that a brief, 10-item multidimensional measure of dependence is useful for predicting sustained quitting in a context of relatively light smoking; time-discounting appears less relevant, although our results are not conclusive because of the low test-retest reliability of our measure. Given the increase in non-daily and light daily cigarette smoking in many countries, including in Mexico, and the health risks this still poses, it is important to understand the predictors of cessation among relatively light smokers. The WISDM-10 multidimensional measure seems to be a good instrument to assess dependence and predict successful quitting in this population, and possibly more appropriate than physical dependence measures. As such, it could help design and target more suitable cessation treatments for non-daily and daily light cigarette smokers. While this study did not find time-discounting to be a relevant predictor of smoking abstinence, future studies should explore other measures.

The associations of smoking dependence motives with depression among daily smokers.

To investigate how strongly smoking dependence and smoking dependence motives are associated with depressive symptoms among daily smokers and if these associations are independent of measured confounders and shared familial factors. Cross-sectional individual-based and within-pair analyses. Fourth wave of the population-based Finnish Twin Cohort conducted in 2011. 918 daily smokers born 1945-1957 (48% men), mean age 59.5years including 38 twin pairs discordant for depression. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression scale with a cut off value ≥20 for depression. Smoking dependence was assessed using the Fagerström Test for Cigarette Dependence (FTCD) and smoking dependence motives with three subscales from the multi-dimensional Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM): primary dependence motives (PDM), affective enhancement (AE), and Taste. Logistic regressions, using standardized scores of independent variables and adjusted for multiple confounders with correction for sampling as twin pairs, were used in the individual-based analyses. Conditional logistic regression was used to control for shared familial factors in discordant twin pairs. Prevalence of depression was 18% (n=163: 61 [14%] in men, n=102 [22%] in women). Higher smoking dependence measured by the FTCD (OR 1.45; 95% CI 1.20, 1.75), and dependence motives measured by the PDM (1.56; 1.30, 1.87) and the AE (1.54; 1.28, 1.85) were associated with higher odds of depression. The associations remained after adjusting for individual confounders, except for neuroticism, which attenuated all associations. FTCD, PDM, and AE showed associations with depression within depression-discordant monozygotic pairs, suggesting an association independent of familial factors. Depression appears to be associated with smoking dependence and smoking dependence motives related to heavy, automatic use and use to regulate affective states. The associations appear to be confounded or mediated by neuroticism but are independent of shared familial influences.

Nicotine Dependence in Dual Users of Cigarettes and E-Cigarettes: Common and Distinct Elements.

In a sample of dual users of cigarettes and electronic nicotine delivery systems (ENDS; e-cigarettes), we evaluated psychometric properties of ENDS versions of the Nicotine Dependence Syndrome Scale (NDSS), the brief Wisconsin Inventory of Smoking Dependence Motives (WISDM), and the Fagerström Test for Nicotine Dependence (FTND). Using the NDSS, we tested the hypothesis that there would be one common underlying factor of dependence across the cigarette and ENDS scales and other product-specific factors. Adult dual users (N = 404) completed baseline cigarette and ENDS versions of the NDSS, WISDM, and FTND, and biweekly surveys of their smoking and vaping. Analyses included bifactor modeling, which helps to identify both a general and product-specific factor for each item, and exploratory factor analyses of the combined cigarette and ENDS NDSS items and examinations of concurrent and predictive validity. The bifactor model was not a good fit, suggesting the lack of one common underlying dependence factor. Factor analyses revealed separate, similar factors for both products, with only one factor (priority) showing overlap of cigarette and ENDS items. ENDS scales significantly predicted ENDS use over time, but not cigarette use. Cigarette scales did not predict ENDS use over time. Although the cigarette and ENDS NDSS versions showed similar factor structure, there was not a primary common underlying factor reflecting drive or tolerance, but rather product-specific factors. The cigarette scales were not valid for predicting ENDS use. These results highlight the importance of separately assessing dependence for cigarettes and ENDS in dual users. Although underlying dimensions of nicotine dependence may be similar for ENDS and cigarettes, separate, product-specific measures may be needed to understand differences in product-specific dependency and predict changes in use of each product over time.

Very Light Daily Smoking in Young Adults: Relationships Between Nicotine Dependence and Lapse.

Very light daily smoking is increasingly common among young adults. Evidence suggests that levels of nicotine dependence vary significantly among young adults who engage in very light daily smoking. However, the links between dependence and clinically relevant outcomes (eg, lapse) in this population remain unclear. The goal of this study was to address this gap by evaluating how well different nicotine dependence scales predict lapse behavior among very light daily smoking young adults. Very light daily smokers (1-5 cigarettes/day) aged 18-25 participated in an initial laboratory session, during which nicotine dependence was assessed using four commonly used measures: the Fagerstrӧm Test for Cigarette Dependence (FTCD), the Hooked On Nicotine Checklist (HONC), the Transdisciplinary Tobacco Use Research Centers (TTURC) Nicotine Dependence Inventory, and the Wisconsin Inventory of Smoking Dependence Motives (WISDM). After a baseline period, eligible participants (n = 40) completed a 10-day abstinence incentive period in which they attempted to refrain from smoking to earn monetary rewards. Cox proportional hazards models were used to test whether dependence predicted days to first lapse. FTCD scores significantly predicted days to lapse, as did scores on the FTCD item assessing time to first cigarette of the day (TTFC). No other dependence measures predicted time to lapse. Both the FTCD and TTFC continued to independently predict time to lapse after controlling for smoking frequency and duration. The FTCD may be a particularly useful tool for capturing clinically meaningful variability in nicotine dependence among young adults who engage in very light daily smoking. This is the first study to directly link self-reported nicotine dependence with the ability to achieve and maintain abstinence among very light daily smoking young adults. The results may aid clinicians in selecting among variable measures of nicotine dependence when assessing and treating this population.

No evidence of differences in smoking levels, nicotine dependence, carbon monoxide or motivational indices between cigarette smokers and cigarette + e-cigarette dual users in two samples

Concurrent use of electronic cigarettes (e-cigarettes) as an alternative source of nicotine may lead to lower smoke exposure, tobacco addiction and reinforcing value of conventional combustible cigarettes. In two different cohorts, we characterized smokers, dual cigarette/e-cigarette users, and e-cigarette-only users in terms of sociodemographic, motives and patterns of e-cigarette use. Differences in smoking-related characteristics and reinforcing value of cigarettes between smokers and e-cigarette dual users were also examined. Two cohorts comprising 339 community adults [Sample 1; aged 18–65] and 293 young adult binge drinkers [Sample 2; aged 19–24] were recruited in Hamilton, Ontario. All participants provided expired carbon monoxide (CO) samples and completed an assessment battery including the Fagerström Test of Nicotine Dependence (FTND), the Wisconsin Inventory of Smoking Dependence Motives (WISDM), and the Cigarette Purchase Task (CPT). In both samples, smoking rate, CO level, FTND, WISDM, and CPT responses did not significantly differ between smokers and dual users. Compared to e-cigarette-only individuals, dual users from the two cohorts reported a greater use of e-cigarettes for quitting smoking, but dual product consumers exhibited no significant differences in motivation for change relative to combustible-only smokers. Relative to smokers, e-cigarette dual users did not show lower levels of smoking, lower severity of cigarette addiction and reinforcing value of cigarettes in these samples. These findings suggest that concurrent e-cigarette use does not affect combustible tobacco use or motivation, or reduce its harms.

Impact of E-cigarette Sampling on Cigarette Dependence and Reinforcement Value.

E-cigarettes have risen in prevalence in recent years, and most public health experts agree they deliver fewer toxicants than combustible tobacco products such as cigarettes. Thus, it is important to understand how use of e-cigarettes by current smokers impacts dependence on combustible cigarettes. The present study is a secondary analysis of a randomized pilot trial of e-cigarette sampling. Nontreatment seeking current smokers were randomized in a 2:1 ratio to either receive or not receive a weekly supply of e-cigarettes for 3 weeks. Participants completed the Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM) scale and the cigarette purchase task before and after the sampling period and at monthly follow-up visits for 3 months. Individuals assigned to receive an e-cigarette had significantly lower mean WISDM scores at the end of sampling and the end of the follow-up period compared with those in the control group. Both frequency of e-cigarette use as well as nicotine concentration of the e-cigarette given to smokers were significant predictors of changes in the mean WISDM score. E-cigarette sampling significantly reduced the demand parameter Omax, which measures the maximum amount of money participants estimate they would spend on cigarettes in a single day. These data suggest that current smokers who try using an e-cigarette may experience reductions in dependence on combustible cigarettes. The present analysis suggests that providing an e-cigarette to current cigarette smokers is likely to reduce cigarette dependence, especially if the e-cigarette delivers sufficient nicotine and is used frequently.

"Psychiatric disorders in smokers seeking treatment for tobacco dependence: Relations with tobacco dependence and cessation": Correction to Piper et al. (2010).

Data were collected from 1,504 smokers (58.2% women; 83.9% White; mean age = 44.67 years, SD = 11.08) making an aided smoking cessation attempt as part of a clinical trial. Psychiatric diagnoses were determined with the Composite International Diagnostic Interview structured clinical interview. Tobacco dependence was assessed with the Fagerström Test of Nicotine Dependence (FTND) and the Wisconsin Inventory of Smoking Dependence Motives (WISDM). Diagnostic groups included those who were never diagnosed, those who had ever been diagnosed (at any time, including in the past year), and those with past-year diagnoses (with or without prior diagnosis). Some diagnostic groups had lower follow-up abstinence rates than did the never diagnosed group (ps < .05). At 8 weeks after quitting, strong associations were found between cessation outcome and both past-year mood disorder and ever diagnosed anxiety disorder. At 6 months after quitting, those ever diagnosed with an anxiety disorder (OR = .72, p = .02) and those ever diagnosed with more than one psychiatric diagnosis (OR = .74, p = .03) had lower abstinence rates. The diagnostic categories did not differ in smoking heaviness or the FTND, but they did differ in dependence motives assessed with the WISDM. Information on recent or lifetime psychiatric disorders may help clinicians gauge relapse risk and may suggest dependence motives that are particularly relevant to affected patients. These findings also illustrate the importance of using multidimensional tobacco dependence assessments. (PsycINFO Database Record

WISDM Primary and Secondary Dependence Motives: Associations With Smoking Rate, Craving, and Cigarette Effects in the Natural Environment.

The Wisconsin Inventory of Smoking Dependence Motives (WISDM) is a multidimensional measure of smoking motives that was developed to facilitate research aiming to refine the nomological network surrounding tobacco dependence. Recent evidence suggests that a composite of four subscales, termed the Primary Dependence Motives (PDM), may represent core features of advanced addiction, while the remaining nine subscales (Secondary Dependence Motives; SDM) represent instrumental motives for cigarette use that may be relevant at any stage of smoking. A sample of 255 smokers (all regular alcohol users) participated in an ecological momentary assessment study in which they monitored smoking behavior and related experiences for 21 days. Multilevel regression analyses tested how PDM and SDM predicted daily smoking rate, cigarette craving, and appraisals of pleasure and relief of unpleasant feelings from smoking. When PDM and SDM were entered simultaneously, only PDM was related to daily cigarette count, and only SDM predicted reports of craving and relief from unpleasant feelings from smoking. SDM was associated with reports of greater pleasure from smoking and PDM was associated with lower pleasure ratings. The Fagerström Test for Nicotine Dependence (FTND) was related to daily smoking rate and craving, but WISDM composites contributed incremental prediction. The findings confirm that PDM indexes heavier use that is relatively unrelated to immediate consequences of smoking. SDM is not uniquely related to smoking heaviness, but is associated with craving and reports of pleasure and relief of unpleasant feelings derived from smoking during ad lib use. This study extends the evidence for the distinction between the WISDM PDM and SDM. PDM scores are associated with heavier smoking and are relatively unrelated to immediate consequences of smoking. SDM is more strongly related to craving and reports of smoking-derived pleasure and relief of unpleasant feelings during ongoing use in daily life.

Nicotine Dependence Measures for Perinatal Women.

This integrative review provides an overview of nicotine dependence measures used with perinatal women and an evaluation of their psychometric properties. Fifty-five articles that met inclusion and exclusion criteria were identified from five different databases. Most of the studies used the Fagerström Test for Nicotine Dependence (FTND). Other approaches included diagnostic tests, the Wisconsin Inventory of Smoking Dependence Motives (WISDM), the Tobacco Dependence Screener, and single-item measures. This review indicated that the FTND may not be the best option for measuring nicotine dependence in this population. The WISDM is a newer instrument that has excellent psychometric properties and captures nonnicotinic dimensions of nicotine dependence relevant to women. Future research is needed to assess its reliability in the perinatal population. Other recommendations from this review include the use of biomarker validation, thorough psychometric reporting on nicotine dependence instruments, and the use of multiple instruments to maximize comparability between nicotine dependence instruments.

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.

Psychometric Characteristics of the Brief Wisconsin Inventory of Smoking Dependence Motives Among a Nonclinical Sample of Smokers.

Attempts to validate the Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM) have produced mixed results. The objectives for the current research were to (1) evaluate the test-retest reliability, internal consistency, and concurrent validity for each of the motive scales (2) evaluate three models to determine fit based on previous research: (i) 11-factor model, (ii) 11-factor model with four error covariances specified by previous research, and (iii) 11-factor model with two higher order primary and secondary dependence motive factors, and (3) evaluate the discriminant and convergent validity of the Brief WISDM scales. Smoking adults aged 18-65 completed a survey about their smoking behaviors and nicotine dependence with a web-based instrument that was administered at a 3-month test-retest interval. Psychometric properties and test-retest reliability were evaluated for each instrument. The 11-factor Brief WISDM was evaluated with confirmatory factor analyses; the scales were evaluated for convergent and discriminant validity. The Brief WISDM demonstrated good to excellent test-retest reliability. Confirmatory factor analysis showed the model with the second order primary and secondary dependence motive factors demonstrated the best fit for the data at both administrations. Discriminant validity issues were present for most of the primary dependence motive scales. To date, the theoretically derived smoking motives for the Brief WISDM have demonstrated mixed support when submitted to confirmatory factor analysis. While these scales tap critical motives of nicotine dependence, further refinement of primary dependence motives is necessary to ensure each latent variable assesses a unique construct.

Smoking dependence across the levels of cigarette smoking in a multiethnic sample

ObjectivesThe Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM) is a multi-dimensional smoking dependence measure that assesses primary dependence motives (PDM; e.g., core dependence marked by tolerance, craving) and secondary dependence motives (SDM; e.g., auxiliary dependence motives such as cognitive enhancement, weight control). However, the relationship between PDM, SDM, and smoking level remains unclear. Thus, we examined these scales across smoking levels in a diverse sample of smokers. MethodsParticipants were 2376 African American, Latino, and non-Hispanic White smokers recruited using an online panel research company. The sample included 297 native nondaily smokers (never smoked daily), 297 converted nondaily smoker (previously smoked daily for ≥six months), 578 light daily smokers (≤10 cigarettes per day [cpd]), and 597 moderate to heavy daily smokers (>10cpd). MethodsResults of a multinomial logistic regression showed that for each unit increase in SDM, after controlling for PDM, the odds of being a native nondaily, converted nondaily or light smoker vs. moderate to heavy smoker increased by 29% to 56% (ps<0.001). In the model, higher PDM scores were associated with lower odds of being a native nondaily, converted nondaily, or light smoker vs. a moderate to heavy daily smoker (ps<0.001). ConclusionNondaily and light smokers endorse higher secondary dependence motives relative to their primary dependence motives. Smoking cessation trials for nondaily and light smokers might address these secondary motives within the context of counseling intervention to enhance abstinence.

Everyday discrimination is associated with nicotine dependence among African American, Latino, and White smokers.

Discrimination is a commonly perceived stressor among African Americans and Latinos, and previous research has linked stress with substance dependence. Although studies have shown a link between discrimination and smoking, little is known about the relationship between discrimination and nicotine dependence. A total of 2,376 African American (33.4%; n = 794), Latino (33.1%; n = 786), and White (33.5%; n = 796) smokers completed an online survey. Everyday discrimination experiences were described in total and by race/ethnicity. Covariate-adjusted linear regression analyses were conducted to evaluate the associations between everyday discrimination and indicators of nicotine dependence. Most participants (79.1%), regardless of race/ethnicity, reported experiencing everyday discrimination. However, total scores on the discrimination measure were higher among Latinos and African Americans than among Whites (p < .001). Race/ethnicity/national origin was the most commonly perceived reason for everyday discrimination among African Americans and Latinos, whereas physical appearance was the most commonly perceived reason among Whites. Regression analyses indicated that everyday discrimination was positively associated with indicators of nicotine dependence, including the Heaviness of Smoking Index (HSI; p < .001) and the Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM) scales (all ps < .001). There was a significant interaction between race/ethnicity and discrimination, such that discrimination was associated with the HSI only among Latinos. Similarly, discrimination was most strongly associated with the WISDM scales among Latinos. Analyses indicated that discrimination is a common stressor associated with nicotine dependence. Findings suggest that greater nicotine dependence is a potential pathway through which discrimination may influence health.

Smoking Motivation in Adults With Attention-Deficit/Hyperactivity Disorder Using the Wisconsin Inventory of Smoking Dependence Motives

Smokers with attention-deficit/hyperactivity disorder (ADHD) differ from smokers without ADHD across a range of smoking outcomes (e.g., higher prevalence rates of smoking, faster progression to regular smoking, and greater difficulty quitting). Moreover, ADHD as a disorder has been characterized by deficits in fundamental motivational processes. To date, few studies have examined how motivation for smoking might differ between nicotine-dependent individuals with and without ADHD. The goal of this study was to assess whether specific smoking motivation factors differentiate smokers with and without ADHD as measured by an empirically derived self-report measure of smoking motivations. Smokers with (n = 61) and without (n = 89) ADHD participated in a range of laboratory and clinical studies that included the Wisconsin Inventory of Smoking Dependence Motives (WISDM). A series of one-way analysis of covariances statistically controlling for age and race indicated that smokers with ADHD scored higher on the following WISDM subscales than their non-ADHD peers: automaticity, loss of control, cognitive enhancement, cue exposure, and negative reinforcement. Smokers in the non-ADHD group yielded higher scores on the social- environmental goads WISDM subscale. No group by gender interactions emerged. Cigarette smokers with ADHD report different motives for smoking than smokers without ADHD. Clarifying the role of these motivational factors has implications for smoking prevention and treatment.

Relations of alcohol consumption with smoking cessation milestones and tobacco dependence.

Alcohol consumption is associated with smoking cessation failure in both community and clinical research. However, little is known about the relation between alcohol consumption and smoking cessation milestones (i.e., achieving initial abstinence, avoiding lapses and relapse). Our objective in this research was to examine the relations between pretreatment alcohol consumption patterns (non/infrequent drinker, moderate drinker, binge drinker) and smoking cessation milestones and tobacco dependence. Data were collected from 1,504 smokers (58.2% women; 83.9% White; mean age = 44.67 years, SD = 11.08) making an aided smoking cessation attempt as part of a clinical trial. Alcohol consumption pattern was determined with the Composite International Diagnostic Interview. Tobacco dependence was assessed with the Wisconsin Inventory of Smoking Dependence Motives (WISDM). Alcohol consumption pattern was significantly associated with initial cessation and lapse, and these findings remained after controlling for the effects of treatment, race, gender, and cigarettes per day. Relative to moderate drinkers, both non/infrequent drinkers and binge drinkers were less likely to achieve initial cessation (p < .05), and binge drinkers were more likely to lapse (p < .01). When drinking categories were compared on tobacco dependence indices, results showed that relative to moderate drinkers, non/infrequent drinkers scored higher on several WISDM Primary Dependence Motives subscales (Tolerance, Loss of Control, and Automaticity) and binge drinkers scored higher on WISDM Secondary Dependence Motives subscales (Cue Exposure and Social-Environmental Goads). Non/infrequent drinkers' smoking cessation difficulties may be particularly related to core features of tobacco dependence, whereas binge drinkers' difficulties may be related to environmental and social influences.

Smoking motives of daily and non-daily smokers: A profile analysis

BackgroundNon-daily or intermittent smoking is becoming common, but little is known about smoking patterns of intermittent smokers (ITS). This study assesses differences in the profile of smoking motives of non-daily, ITS and daily smokers (DS). MethodsParticipants were 218 DS and 252 ITS (152 converted ITS [CITS], who previously smoked daily, and 80 native ITS [NITS] who did not), not currently quitting, recruited by advertisement. ITS were defined as smoking 4–27 days per month; DS as smoking daily, 5–30 cigarettes per day. Participants completed the Wisconsin Inventory of Smoking Dependence Motives (WISDM), yielding scores for 13 different motives. The within-profile standard deviation expressed profile scatter (differentiation among motives), and profile shape was assessed on scores standardized for within-profile mean and standard deviation. ResultsThere was no difference between ITS and DS on profile scatter. ITS and DS differed in the shape of the standardized score profile, with DS scoring higher on Tolerance, Craving, Automaticity, Loss of Control and Behavioral Choice motives, and ITS scoring higher on Cue Exposure, Weight Control, and Positive Reinforcement motives. CITS did not differ from NITS in profile scatter or profile shape. ConclusionITS differ from DS in the relative importance of motives, with ITS emphasizing motives associated with acute, situational smoking, and DS emphasizing dependence-related motives. Among ITS, history of daily smoking did not influence the profile of motives.

Evaluation of the Brief Wisconsin Inventory of Smoking Dependence Motives in African-American and European-American Heavy Smokers

Introduction: Emerging evidence indicates that nicotine dependence should be measured multidimensionally. A brief version of the Wisconsin Inventory of Smoking Dependence Motives (WISDM) has recently been developed in which the item count has been reduced from 68 to 37. The objectives of this study were to replicate the initial findings in a larger heavy-smoking sample, and determine whether the WISDM structure is applicable to both African-American (AA) and European-American (EA) heavy smokers. Methods: Smokers were selected from our Mid-South Tobacco Family and Case–Control studies. Available data from 2,522 smokers was selected, involving 1,633 AA and 889 EA participants. Both exploratory and confirmatory analyses were employed to evaluate the psychometric characteristics of the Brief WISDM. Results: AAs and EAs were similar in age, sex, education, marital status, cigarettes per day, and Fagerström Test for Nicotine Dependence score. Internal consistency evaluations for Brief WISDM subscales were adequate but generally lower than that of the full-scale version. Confirmatory factor analyses did not yield desirable fits for AA or EA smokers. Exploratory factor analysis revealed good agreement for item loadings on the four primary dependence motives subscales (Automaticity, Loss of Control, Craving, and Tolerance) but discrepancies on all secondary dependence motives subscales except Taste/Sensory Processes. Specific item loadings for subscales differed by ethnicity. Conclusion: The Brief WISDM demonstrated reasonable psychometric properties in our large sample. Together, we provide support for the general validity of the brief form but suggest individual item selections may benefit from further investigation.

Assessment Scales for Nicotine Addiction

The genetics of nicotine addiction has been probed using combinations of genetic markers and questionnaire results regarding individual smoking behavior. Recently, the association of nicotine addiction with various candidate gene or gene polymorphisms has been proposed based on genome-wide association studies and candidate gene approaches, but the assessment of smoking behaviors including how severely each smoker is addicted, is typically performed using limited measures such as questionnaires. In this review, we present part of our recent data in which different scaling methods detected different genetic polymorphisms associated with different aspects of addicted smoking behaviors, as determined using questionnaire responses and genotyping data for 2500 Japanese elderly subjects. Several scaling methods have been developed to estimate nicotine addiction; here, we briefly review four scaling methods in addition to the Fagerstrom Tolerance Questionnaire (FTQ) and the Fagerstrom Test for Nicotine Dependence (FTND): The Tobacco Dependence Screener (TDS), the Wisconsin Inventory of Smoking Dependence Motives (WISDM), the Cigarette Dependence Scale (CDS), and the Nicotine Dependence Syndrome Scale (NDSS). The characteristics and powers of these scales are also discussed. These scales are used regionally; for example, the TDS is mainly used in Japan, while the NDSS and the WISDM are used in the US. Taking advantage of the characteristics of these scaling methods and comparing them with each other in various populations may be useful for elucidating the genetic and non- genetic nature of nicotine dependence.

Psychometric Properties and Construct Validity of the Brief Wisconsin Inventory of Smoking Dependence Motives in an Internet-Based Sample of Treatment-Seeking Hungarian Smokers

Both full and brief versions of the Wisconsin Inventory of Smoking Dependence are promising new measurement tools for studying tobacco dependence. We assessed the psychometric properties and construct validity of the Wisconsin Inventory of Smoking Dependence Motives (WISDM)-68 and WISDM-37. Participants were adult, treatment-seeking Hungarian daily smokers (N = 720) with Internet access who were also registered on a smoking cessation Web site. Using confirmatory factor analyses (CFAs), we tested the measurement models of both WISDM-68 and WISDM-37, internal consistency of subscales of WISDM-37, and gender invariance. We tested the associations between heaviness of smoking, tobacco dependence symptoms, smoking environment, and subscales of WISDM-37. Although the measurement model of WISDM-68 did not fit adequately, the measurement model of WISDM-37, including 11 correlating factors (affiliative attachment, automaticity, loss of control, cognitive enhancement, craving, cue exposure/associative processes, social/environmental goads, taste, tolerance, weight control, affective enhancement), satisfactorily represents the data. Latent structures are equal in both genders. Internal consistency of subscales of WISDM-37 ranges between 0.67 and 0.90. Tobacco dependence symptoms were significantly linked with all motives, heaviness of smoking was related significantly only to affiliative attachment, automaticity, loss of control, cognitive enhancement, craving, and tolerance, while tobacco dependence symptoms and gender were controlled. Gender was associated only with the weight control motive. Concurring with previous reports using other types of sample, WISDM-37 has sufficient psychometric properties and good construct validity to make it useful in measuring the multidimensional nature of tobacco dependence even in Internet-based research. Without precedent, gender equality of WISDM-37 is also supported.

WISDM primary and secondary dependence motives: Associations with self-monitored motives for smoking in two college samples

The Wisconsin Inventory of Smoking Dependence Motives (WISDM) assesses 13 domains of smoking motivation emphasized by diverse theoretical perspectives. Emerging findings support a distinction between four primary dependence motives (PDM) indexing core features of tobacco dependence and nine secondary dependence motives (SDM) indexing accessory features. The current study explored the validity of this distinction using data from two samples ( Ns = 50 and 88) of college smokers who self-monitored their reasons for smoking with electronic diaries. PDM scores were associated with diary endorsement of habitual or automatic motives for smoking individual cigarettes, which are conceptually consistent with the content of the PDM subscales. SDM did not clearly predict conceptually related self-monitored motives when tested alone. However, when these two correlated scale composites were co-entered, PDM predicted being a daily vs. nondaily smoker, being higher in nicotine dependence, and smoking individual cigarettes because of habit or automaticity. Conversely, after PDM-SDM co-entry, the unique variance in the SDM composite predicted the tendency to report smoking individual cigarettes for situational or instrumental motives (e.g., to control negative affect). The results suggest that the PDM composite may reflect core motivational features of nicotine dependence in these young smokers. The relative prominence of primary motives in advanced or dependent use may be even clearer when motives for smoking are assessed in real time rather than reported via questionnaire.