Daniel M. Bolt

Time to First Cigarette in the Morning as an Index of Ability to Quit Smoking: Implications for Nicotine Dependence

An inability to maintain abstinence is a key indicator of tobacco dependence. Unfortunately, little evidence exists regarding the ability of the major tobacco dependence measures to predict smoking cessation outcome. This paper used data from four placebo-controlled smoking cessation trials and one international epidemiological study to determine relations between cessation success and the Fagerström Test for Nicotine Dependence (FTND), the Heaviness of Smoking Index, the Nicotine Dependence Syndrome Scale, and the Wisconsin Inventory of Smoking Dependence Motives. Results showed that much of the predictive validity of the FTND could be attributed to its first item, time to first cigarette in the morning, and this item had greater validity than any other single measure. Thus the time-to-first-cigarette item appears to tap a pattern of heavy, uninterrupted, and automatic smoking and may be a good single-item measure of nicotine dependence.

A multiple Motives approach to tobacco dependence: The Wisconsin Inventory of Smoking Dependence Motives (WISDM-68)

The dependence construct fills an important explanatory role in motivational accounts of smoking and relapse. Frequently used measures of dependence are either atheoretical or grounded in a unidimensional model of physical dependence. This research creates a multidimensional measure of dependence that is based on theoretically grounded motives for drug use and is intended to reflect mechanisms underlying dependence. Data collected from a large sample of smokers (N = 775) indicated that all 13 subscales of the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68) have acceptable internal consistency, are differentially present across levels of smoking heaviness, and have a multidimensional structure. Validity analyses indicated the WISDM-68 subscales are significantly related to dependence criteria such as smoking heaviness and to 4th edition Diagnostic and Statistical Manual of Mental Disorders symptoms of dependence and relapse.

The Relative Risk and Timing of Divorce in Families of Children With an Autism Spectrum Disorder

We compared the occurrence and timing of divorce in 391 parents of children with an autism spectrum disorder (ASD) and a matched representative sample of parents of children without disabilities using a survival analysis. Parents of children with an ASD had a higher rate of divorce than the comparison group (23.5% vs. 13.8%). The rate of divorce remained high throughout the sons or daughters childhood, adolescence, and early adulthood for parents of children with an ASD, whereas it decreased following the sons or daughters childhood (after about age 8 years) in the comparison group. Younger maternal age when the child with ASD was born and having the child born later in the birth order were positively predictive of divorce for parents of children with an ASD. Findings have implications for interventions focused on ameliorating ongoing and long-term marital strains for parents of children with an ASD.

A Multigroup Item Response Theory Analysis of the Psychopathy Checklist-Revised.

Item response theory was used to investigate the functioning of the Psychopathy Checklist-Revised (PCL-R; R. D. Hare, 1991, 2003) in several offender populations. With male criminal offenders (N=3,847) as a reference group, differential item functioning analyses were performed for 3 comparison groups: female criminal offenders (N=1,219), male forensic psychiatric patients (N=1,246), and male criminal offenders scored from file reviews (N=2,626). Results are discussed in the context of the 2-factor, 4-facet model for the PCL-R (R. D. Hare, 2003; J. Parker, G. Sitarenios, & R. D. Hare, 2003). Application of a multigroup graded response model to all 4 groups suggests scalar equivalence may hold at least approximately for each population, although the PCL-R provided slightly greater information about the latent trait of psychopathy for male criminal offenders scored from the standard procedure.

Estimation of compensatory and noncompensatory multidimensional item response models using Markov chain Monte Carlo

Markov chain Monte Carlo (MCMC) estimation is investigated for multidimensional compensatory and noncompensatory item response models. Simulation analyses are used to evaluate parameter recovery for the multidimensional two-parameter logistic model (M2PL) and the multidimensional latent trait model (MLTM) under varying conditions of sample size (1,000, 3,000), number of items (25, 50), and correlation between abilities (.0, .3, and .6). Results suggest that an MCMC procedure using a Metropolis-Hastings algorithm can recover the parameters of both models but is less successful for the MLTM as the correlation between abilities increases. In general, estimation is more accurate for the M2PL than the MLTM. A Bayes factor criterion for comparing the relative .t of the models to a common data set is investigated using simulated data. Using real data, the M2PL is found to be the superior model for a test of English usage.

Human neuronal acetylcholine receptor A5-A3-B4 haplotypes are associated with multiple nicotine dependence phenotypes.

INTRODUCTION Previous research revealed significant associations between haplotypes in the CHRNA5-A3-B4 subunit cluster and scores on the Fagerström Test for Nicotine Dependence among individuals reporting daily smoking by age 17. The present study used subsamples of participants from that study to investigate associations between the CHRNA5-A3-B4 haplotypes and an array of phenotypes not analyzed previously (i.e., withdrawal severity, ability to stop smoking, and specific scales on the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68) that reflect loss of control, strong craving, and heavy smoking. METHODS Two cohorts of current or former smokers (N = 886) provided both self-report data and DNA samples. One sample (Wisconsin) comprised smokers making a quit smoking attempt, which permitted the assessment of withdrawal and relapse during the attempt. The other sample (Utah) comprised participants studied for risk factors for nicotine dependence and chronic obstructive pulmonary disease and included individuals originally recruited in the Lung Health Study. RESULTS The CHRNA5-A3-B4 haplotypes were significantly associated with the targeted WISDM-68 scales (Tolerance, Craving, Loss of Control) in both samples of participants but only among individuals who began smoking early in life. The haplotypes were significantly associated with relapse likelihood and withdrawal severity, but these associations showed no evidence of an interaction with age at daily smoking. DISCUSSION The CHRNA5-A3-B4 haplotypes are associated with a broad range of nicotine dependence phenotypes, but these associations are not consistently moderated by age at initial smoking.

Gender, race, and education differences in abstinence rates among participants in two randomized smoking cessation trials

INTRODUCTION Smoking is the leading preventable cause of morbidity and mortality in the United States, but this burden is not distributed equally among smokers. Women, Blacks, and people with low socioeconomic status are especially vulnerable to the health risks of smoking and are less likely to quit. METHODS This research examined cessation rates and treatment response among 2,850 participants (57.2% women, 11.7% Blacks, and 9.0% with less than a high school education) from two large cessation trials evaluating: nicotine patch, nicotine lozenge, bupropion, bupropion + lozenge, and nicotine patch + lozenge. RESULTS Results revealed that women, Blacks, and smokers with less education were less likely to quit smoking successfully than men, Whites, and smokers with more education, respectively. Women did not appear to benefit more from bupropion than from nicotine replacement therapy, but women and smokers with less education benefited more from combination pharmacotherapy than from monotherapy. DISCUSSION Women, Blacks, and smokers with less education are at elevated risk for cessation failure, and research is needed to understand this risk and develop pharmacological and psychosocial interventions to improve their long-term cessation rates.

A Monte Carlo Comparison of Parametric and Nonparametric Polytomous DIF Detection Methods

Two parametric procedures for detecting differential item functioning (DIF) using the Graded Response Model (GRM; Samejima, 1969)-the GRM-Likelihood Ratio test (GRM-LR; Thissen, Steinberg, & Gerard, 1986) and the GRM-Differential Functioning of Items and Tests (GRM-DFIT; Flowers, Oshima, & Raju, 1999)-were compared with a nonparametric DIF detection procedure, Poly-SIBTEST (Chang, Mazzeo, & Roussos, 1996), in a simulation study. The 3 DIF procedures were examined (a) under conditions in which the GRM provided an exact fit to the data and (b) under conditions of slight model misfit. Small amounts of model misfit were simulated by applying the GRM-based DIF procedures to data generated from alternative item response models. Although all 3 DIF procedures adhered to nominal Type I error rates when data were generated from the GRM, the GRM-LR demonstrated large Type I error inflation under certain conditions when the generating model was not the GRM. GRM-DFIT showed much less Type I error inflation under model misspecification, and Poly-SIBTEST appeared to be unaffected by the generating model. However, of the 3 methods, Poly-SIBTEST showed the least amount of power across all conditions. Implications for the use of parametric versus nonparametric DIF procedures with real test data are considered.

Predictors of depressive symptom trajectories in mothers of preterm or low birth weight infants.

Predictors of maternal depression trajectories were examined longitudinally in families with an infant born preterm or at a low birth weight. A total of 181 mother-infant dyads enrolled in the study before the infants neonatal intensive care unit (NICU) discharge. Maternal depressive symptoms were assessed at 5 timepoints, and contextual variables and infant risks were assessed at NICU discharge. Hierarchical linear models revealed that mothers who experienced more risk factors reported more depressive symptoms just before their infants NICU discharge and showed less decline in depressive symptoms in the months immediately following the childs birth. Although cumulative risks predicted depression trajectories, this effect appeared driven by maternal and family sociodemographic risks rather than infant risks. Addition of family support as a covariate in the multilevel models with a subsample of families revealed that social support and depression covaried across time. However, most of the findings regarding the association between risk and depression remained consistent, whereas the effects of maternal race and multiple birth were slightly attenuated.

Assessing dimensions of nicotine dependence: An evaluation of the Nicotine Dependence Syndrome Scale (NDSS) and the Wisconsin Inventory of Smoking Dependence Motives (WISDM)

Considerable research, ranging from survey to clinical to genetic, has utilized traditional measures of tobacco dependence, such as the Fagerstrom Test of Nicotine Dependence (FTND) and the Diagnostic and Statistical Manual (4th ed.) (DSM-IV) criteria, that focus on endpoint definitions of tobacco dependence such as heavy smoking, time to first cigarette in the morning, and smoking despite consequences. In an effort to better understand possible theories and mechanisms underlying tobacco dependence, which could be used to improve treatment and research, two multidimensional measures of tobacco dependence have been developed: the Nicotine Dependence Syndrome Scale (NDSS) and the Wisconsin Inventory of Smoking Dependence Motives (WISDM). This research used data from three randomized smoking cessation trials to examine the internal consistency and validity (convergent, concurrent and predictive) of these scales, relative to each other and the traditional measures. Results reveal that NDSS and WISDM subscales are related to important dependence criteria, but in a heterogeneous fashion. The data suggest that there are important underlying mechanisms or motives that are significantly related to different important outcomes, such as withdrawal and cessation. The FTND was most strongly related to abstinence at 1 week and 6 months post-quit, whereas the WISDM Tolerance subscale was most strongly related to abstinence at the end of treatment. The NDSS Priority subscale was consistently predictive of outcome at all three follow-up time points. There is also evidence that WISDM subscales are related to a biomarker of the rate of nicotine metabolism.