Biomedical subjects

Thomas M Piasecki

Publications and source records attributed to Thomas M Piasecki.

11 recordsLinked to original sources

PubMed2026

Optimizing smoking cessation pharmacotherapy and counseling for adult primary care patients: a factorial randomized controlled trial.

BACKGROUND: Even with the most effective smoking cessation pharmacotherapies (i.e., varenicline or combination nicotine replacement [C-NRT]), the majority of people ultimately return to smoking. This research explored how to optimize the use of varenicline and C-NRT to promote smoking cessation. METHODS: Primary care patients participated in a 2x2x2x2 factorial experiment that evaluated 4 factors: 1) Medication Type (Varenicline vs. C-NRT [patch + mini-lozenge]), 2) Preparation (pre-quit) Medication (4 Weeks vs. Standard); 3) Medication Duration (Extended [24 weeks] vs. Standard [12 weeks]); and 4) Counseling Type (Cessation Counseling [4 sessions] vs. Referral Support [2 sessions focused on use of referral resources]). This study was discontinued prior to reaching the proposed sample size (N = 608) due to pandemic-related budgetary constraints. RESULTS: Participants (N = 496) were 55% women and 45.6% Black individuals. There were no statistically significant main effects of the 4 factors on abstinence at 12, 26 or 52 weeks. There was a 3-way interaction between Medication Type, Preparation Medication, and Counseling Type (p = 0.04) predicting the primary outcome of biochemically confirmed abstinence at 52 weeks; cessation counseling vs. referral support improved varenicline quit rates when 4 weeks versus 1 week of pre-quit medication was offered. For C-NRT, counseling type did not significantly improve quit rates regardless of the use of preparation medication. CONCLUSIONS: There was no robust evidence that enhanced pre-quit or extended duration of varenicline or C-NRT increased abstinence rates. More intensive counseling may support cessation for different pharmacotherapy regimens. Given the lack of consistent findings, this research should be viewed as exploratory to guide future research.

Humans↗

PubMed2006

Life before and after quitting smoking: an electronic diary study.

This article describes a multidimensional, multivariate, and multilevel approach to the assessment of nicotine withdrawal. In this prospective study, 70 adult smokers assigned to an active or placebo nicotine patch condition completed multiple daily assessments using an electronic diary. Average and individual growth curves were estimated for affective and nonaffective withdrawal symptoms. All symptoms but hunger increased significantly on the quit day and remained elevated for three weeks. Variability in symptom experiences across individuals increased from pre- to post-quit. Relations between symptom reports (e.g., negative affect or craving) and episodic events (e.g., stressful events or seeing someone smoke) changed from pre-quit to post-quit. Pre-quit increases in negative affect and quit-day increases in craving were inversely related to abstinence three months after the quit day, suggesting that anticipatory and immediate reactions to quitting influence success.

Administration, Cutaneous↗

PubMed2005

Relapse to smoking.

Relapse is by far the most likely outcome of any smoking cessation attempt, even those made with the benefit intensive psychosocial treatment and pharmacotherapy. The present article briefly reviews the epidemiology of smoking and self-quitting, the outcome data for major forms of behavioral and pharmacologic smoking cessation treatments, and what is known about the natural history of relapse and recovery among treated smokers. A recent trend in smoking relapse research has been to study the dynamics of key motivational processes, such as withdrawal symptoms, negative affect, and craving, in the laboratory and in smokers' natural environments. This literature is also briefly reviewed, with an emphasis on how such investigations may reveal the limitations of current cessation treatments. Finally, three significant research themes that are likely to be important in future relapse research are highlighted--the possible "hardening" of the smoking population, the potential for developmental research to deepen our understanding of smoking motivation, and the promise of molecular genetic studies for advancing treatment and our understanding of relapse.

Cross-Sectional Studies↗

PubMed2005

Hangover frequency and risk for alcohol use disorders: evidence from a longitudinal high-risk study.

Data from a prospective high-risk study (N=489; 51% with a family history of alcoholism) were used to test whether family history is associated with greater hangover proneness and whether hangover is a risk factor for alcohol use disorders. Hangover was more frequent in family-history-positive participants during the college years. Persons with an alcohol diagnosis showed excess hangover before earning a diagnosis. Year 1 hangover predicted alcohol use disorders at Years 7 and 11, even when family history, sex, Year 1 diagnoses, and Year 1 drinking were statistically controlled. Several nonhangover drinking symptoms failed to predict later diagnoses. Taken together, the findings suggest a need for further research and theory on the role of hangover in the etiology of drinking problems.

Alcohol-Related Disorders↗

PubMed2004

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.

Humans↗

PubMed2003

Smoking withdrawal dynamics: III. Correlates of withdrawal heterogeneity.

Five parameters of postcessation smoking withdrawal variability derived from clinical data (T. M. Piasecki, D. E. Jorenby, S. S. Smith, M. C. Fiore, & T. B. Baker, 2003a, 2003b) were predicted from baseline measures and pharmacotherapy assignment. Smokers who were more dependent, older, and high in negative affect reported more severe withdrawal. Women, heavier smokers, and those with a history of depression reported more variable symptoms. Smokers treated with nicotine patch, bupropion, or both reported less severe withdrawal than did those given placebo, but medication did not affect the slope of symptoms over time, day-to-day variability of symptoms, or the size of acute changes in symptoms associated with lapses to smoking. Prior research has shown that these symptom facets predict later relapse: thus, current pharmacotherapies may aid cessation by diminishing withdrawal severity, but they do not affect all clinically important aspects of withdrawal.

Administration, Cutaneous↗

PubMed2003

Development and initial validation of the Hangover Symptoms Scale: prevalence and correlates of Hangover Symptoms in college students.

BACKGROUND: Despite its ubiquity, hangover has received remarkably little systematic attention in alcohol research. This may be due in part to the lack of a standard measure of hangover symptoms that cleanly taps the physiologic and subjective effects commonly experienced the morning after drinking. In the present study, we developed and evaluated a new scale, the Hangover Symptoms Scale (HSS), to potentially fill this void. METHODS: Participants were 1230 currently drinking college students (62% women, 91% Caucasian). They were administered a self-report inventory in which they reported the frequency of occurrence of 13 different hangover symptoms during the past 12 months. Participants also reported their history of alcohol involvement, alcohol-related problems, and family history of alcohol-related problems. RESULTS: On average, participants experienced 5 out of 13 different hangover symptoms in the past year; the three most common symptoms were feeling extremely thirsty/dehydrated, feeling more tired than usual, and headache. Higher scores on the HSS were significantly positively associated with the frequency of drinking and getting drunk and the typical quantity of alcohol consumed when drinking, a personal history of alcohol-related problems, and a family history of alcohol-related problems. After controlling for sex differences in alcohol involvement, women had higher scores on the HSS than men. CONCLUSIONS: The HSS appears to capture a reasonably valid set of adjectives describing common hangover effects. It is hoped that the availability of a brief, valid hangover assessment such as the HSS will encourage further study of hangover's frequency, correlates, and consequences. Future research is needed to explore the performance of a re-worded HSS in laboratory settings, which may help bridge the gap between laboratory and survey investigations of hangover.

Adolescent↗

PubMed2003

Smoking withdrawal dynamics: I. Abstinence distress in lapsers and abstainers.

Smoking withdrawal reports from a clinical trial (n = 893) were submitted to hierarchical linear modeling as a cross-method replication of a heterogeneity approach to withdrawal measurement and to clarify the influence of postcessation smoking on symptom reports. Five individual difference parameters tapping distinct facets of withdrawal were derived: intercepts (mean severity), linear slope (direction and rate of change), quadratic trend (curvature), volatility (scatter) and, among lapsers, a cigarette coefficent (smoking-related deflections of symptoms). All parameters were highly variable across persons. Lapsers had more aversive symptom patterns than abstainers, and symptoms tended to be higherthan otherwise predicted on lapse days. These results reinforce the conclusion that withdrawal symptoms are highly variable and argue against discarding withdrawal data from participants who lapse.

Administration, Cutaneous↗

PubMed2003

Smoking withdrawal dynamics: II. Improved tests of withdrawal-relapse relations.

In this article, the authors assessed whether continuously scaled symptom parameters derived from growth models (T. M. Piasecki et al., 2003) are linked to smoking at long-term follow-up by using data from a large-scale clinical trial (N = 893). Results revealed that higher withdrawal intercepts, positive linear slopes, and greater volatility were all positively associated with relapse, and cigarette coefficients (indicating smoking-induced withdrawal reduction) were negatively related to relapse. In models keyed around the first lapse to smoking, those destined to lapse reported more severe withdrawal during abstinence, and withdrawal patterns discriminated groups defined according to lapse duration. The findings complement earlier heterogeneity studies in implicating the pattern of changing withdrawal symptoms over time as a factor strongly associated with smoking relapse.

Adult↗

PubMed2002

Toward a dimensional and psychometrically-informed approach to conceptualizing psychopathology.

Most modern research on psychopathology is framed by the categorical model of mental disorders embodied in the Diagnostic and statistical manual of mental disorders, 4th edition (DSM-IV; American Psychiatric Association, 1994). Nevertheless, the categorical model of the DSM is incompatible with robust empirical observations about psychopathological variation, such as the tendency for multiple, putatively distinct mental disorders to occur in the same persons. The goal of this invited essay is to outline a potential alternative to the DSM's categorical approach: a dimensional and psychometrically-informed approach to conceptualizing and studying psychopathology. We discuss the advantages of the dimensional approach, some modern statistical technologies that can be recruited in the service of the dimensional approach, and ways of integrating the dimensional approach with a behavioral approach to psychopathology assessment and research.

Humans↗

PubMed2002

Have we lost our way? The need for dynamic formulations of smoking relapse proneness.

Current smoking cessation treatments seem to differ from one another in the proportion of ex-smokers who survive the first few days of the quit attempt. After this initial effect, parallel relapse processes appear to unfold in all treatment groups; no available treatments seem to alter the nature of this late relapse process. True relapse prevention will require that we obtain a better understanding of the forces contributing to relapse across the span of the cessation attempt. A working model of dynamic relapse processes may be necessary before treatments can be improved. In this paper, we suggest that the conceptual model of relapse proneness (RP) described originally by the National Working Conference on Smoking Relapse can serve as an ecumenical organizational framework that may be used to integrate and conceptualize relapse data in ways that could generate new strategies for relapse research and inform treatment design. As an illustration, we sketch a preliminary model of RP which postulates that physical withdrawal, stressors/temptations, and cessation fatigue each make independent, time-shifted contributions to relapse risk. A new round of descriptive research focused on relapse proneness processes may be a prerequisite for improving existing smoking cessation interventions.

Administration, Cutaneous↗