Nicotine withdrawal in smokers with current depressive disorders undergoing intensive smoking cessation treatment.

The authors investigated withdrawal in smokers with current threshold and subthreshold depressive disorders (N = 21) who were participating in a pilot study of intensive counseling interventions for smoking cessation. The majority of participants (67%) were taking antidepressants when they entered the trial. Withdrawal symptoms were compared in prolonged abstainers versus nonabstainers across a 12-week treatment period and at the 3-month follow-up assessment visit. Prolonged abstinence was associated with an increase in positive affect and a decrease in depressive symptoms and craving over time. Nonabstinence was associated with little overall change in these variables from treatment onset to the 3-month follow-up. At the 3-month follow-up, 44% of prolonged abstainers were in complete remission of their baseline depressive disorders, compared with 0% remission among nonabstainers. Findings suggest that within the context of an intensive smoking cessation intervention, some smokers with current depressive disorders may experience significant improvement in affective and craving symptoms. Findings also suggest that abstinence may be associated with improvement in affect.     

Mediational Pathways Through Which Positive and Negative Emotionality Contribute to Anhedonic Symptoms of Depression: A Prospective Study of Adolescents

This study takes a developmental psychopathological approach to examine mechanisms through which baseline levels of positive emotionality (PE) and negative emotionality (NE) prospectively predict increases in anhedonic depressive symptoms in a community sample of 350 adolescents (6th–10th graders). Dependent stressors mediated the relationship between baseline levels of NE and anhedonic depressive symptoms after controlling for initial symptoms. Supportive relationships mediated the relationship between baseline levels of PE and anhedonic depressive symptoms, after controlling for baseline symptoms. In addition, NE X PE interacted to predict later anhedonic depressive symptoms, such that adolescents with low levels of PE and high levels of NE experienced the greatest increase in anhedonic depressive symptoms. Last, supportive relationships interacted with baseline PE to predict prospective changes in anhedonic depressive symptoms, such that adolescents with low PE and low supportive relationships experienced the greatest increase in anhedonic depressive symptoms. Results are discussed in terms of current theoretical models of the link between temperament and depression. This work was supported, in part, by NIMH grants R03-MH 066845 and 1R01HD054736-01A1 to Benjamin L. Hankin.     

Heterogeneity in Verbal Memory: A Marker of Preclinical Alzheimer's Disease?

ABSTRACT

Demonstrations of memory changes in those at risk for Alzheimer's disease by the presence of the APOE e4 allele have been inconsistent to date. The present study went beyond traditional analyses of central tendency (i.e., group differences on mean test scores) and also conducted distribution analyses to search for subtle cognitive differences in subgroups of normal-functioning elderly persons with the APOE e4 genotype. The results of the study revealed that (a) the e4 and non-e4 groups failed to differ in terms of their mean scores on tests of memory and verbal skills; and (b) relative to the non-e4 group, the e4 subjects had significantly greater heterogeneity of variance on the memory measures but not on fundamental verbal skills. Logistic regression analyses indicated that the discrepancy in scores on the memory measures was a significant predictor of genotype group membership (82% correct classification rate). Implications of these findings for the detection of a preclinical phase of AD are discussed.     

Prevalence and predictors of transitions in smoking behavior among college students.

The prevalence of smoking among college students is surprisingly high and represents a significant public health issue. However, there are few longitudinal studies of smoking in this population. This study examined the prevalence and predictors of transitions in smoking behavior among a cohort of 548 college students. Over the course of 4 years, 87% of daily smokers and almost 50% of occasional smokers continued to smoke. Among nonsmokers, 11.5% began smoking occasionally and none became daily smokers. In general, predictors of smoking behavior change were significant only among baseline occasional smokers and included gender, smoking outcome expectancies, and affect regulation expectations. Peer and parental smoking, demographics, affect, stress, and alcohol use were generally not predictive of change. Tobacco control interventions targeted at college students are clearly warranted.     

Effects of information about validity scales on underreporting of symptoms on the personality assessment inventory

We investigated the effects of information about validity scales on the Personality Assessment Inventory (PAI) on underreporting of symptoms in a college student population. A group of participants completing the PAI under the standard instructions was compared to two groups of participants who had been instructed and given incentives to underreport symptoms. One of the underreporting groups was given a brief warning about the presence of scales designed to detect respondents attempting to present an unrealistically favorable impression. Results suggested that underreporting scales on the PAI are effective in discriminating standard profiles from those completed by uncoached underreporting participants but are less effective in discriminating standard profiles from those produced by participants who have been warned about the underreporting scales. The findings suggest that coaching may enable some respondents to underreport symptoms without detection.     

Latent Class Dynamic Mediation Model with Application to Smoking Cessation Data

Traditional mediation analysis assumes that a study population is homogeneous and the mediation effect is constant over time, which may not hold in some applications. Motivated by smoking cessation data, we propose a latent class dynamic mediation model that explicitly accounts for the fact that the study population may consist of different subgroups and the mediation effect may vary over time. We use a proportional odds model to accommodate the subject heterogeneities and identify latent subgroups. Conditional on the subgroups, we employ a Bayesian hierarchical nonparametric time-varying coefficient model to capture the time-varying mediation process, while allowing each subgroup to have its individual dynamic mediation process. A simulation study shows that the proposed method has good performance in estimating the mediation effect. We illustrate the proposed methodology by applying it to analyze smoking cessation data.

     

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