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Introduction: Substance abuse interventions tailored to the individual level have produced effective outcomes for a wide variety of behaviors. One approach to enhancing tailoring involves using cluster analysis to identify prevention subtypes that represent different attitudes about substance use. This study applied this approach to better understand tailored interventions for smoking and alcohol prevention., Methods: Analyses were performed on a sample of sixth graders from 20 New England middle schools involved in a 36-month tailored intervention study. Most adolescents reported being in the Acquisition Precontemplation (aPC) stage at baseline: not smoking or not drinking and not planning to start in the next six months. For smoking (N=4059) and alcohol (N=3973), each sample was randomly split into five subsamples. Cluster analysis was performed within each subsample based on three variables: Pros and Cons (from Decisional Balance Scales), and Situational Temptations., Results: Across all subsamples for both smoking and alcohol, the following four clusters were identified: (1) Most Protected (MP; low Pros, high Cons, low Temptations); (2) Ambivalent (AM; high Pros, average Cons and Temptations); (3) Risk Denial (RD; average Pros, low Cons, average Temptations); and (4) High Risk (HR; high Pros, low Cons, and very high Temptations)., Conclusions: Finding the same four clusters within aPC for both smoking and alcohol, replicating the results across the five subsamples, and demonstrating hypothesized relations among the clusters with additional external validity analyses provide strong evidence of the robustness of these results. These clusters demonstrate evidence of validity and can provide a basis for tailoring interventions., (Copyright © 2014. Published by Elsevier Ltd.)

Background: The transtheoretical model is an influential theoretical model in health psychology, particularly in its application to smoking cessation research. Decisional Balance (DB) and Temptations are key constructs within this framework., Purpose: This study examines the psychometric properties of the DB and Temptations scales for smoking in a predominantly African-American sample of urban adolescent girls., Methods: We used confirmatory factor analysis to compare the fit of previously published factor structures in smokers (n = 233) and nonsmokers (n = 598). External validity was tested by examining stages of change differences in the retained subscales., Results: Results supported the internal and external validity of the DB scale for smokers and nonsmokers. Notably, previously published three-factor (Social Pros, Coping Pros, Cons) and four-factor (Cons split into "Aesthetic Cons" and "Health Cons") models fit equally well, with Cons subscales correlating highly. For Temptations, a previously published three-factor (Negative Affect, Social, Weight Control) hierarchical model fit well in nonsmokers. In smokers, previously published subscales were reliably measured, but their structural relationship remained unclear. Stage difference tests showed medium to large effect sizes of DB and Temptation subscales in smokers and nonsmokers., Conclusions: The use of DB was validated for both smokers and nonsmokers in this sample of primarily African-American adolescent females, where Cons can be combined or separated into "Aesthetic Cons" and "Health Cons" based on practical utility and preference. For Temptations, more research is needed but large stage differences in Temptations subscales underscore the importance of this concept in smoking acquisition and cessation.

Objective: While the majority of women quit smoking either before or during pregnancy, 60 to 80% relapse in the postpartum period. The objective of this research was to examine postpartum women who quit smoking during their pregnancies and to determine the predictive factors for relapse in the postpartum period by identifying different subgroups that predict risk of relapse., Method: One hundred forty four postpartum women who were abstinent at the time of delivery were recruited. Data regarding the Acquisition Stage of Change, Decisional Balance and Situational Temptations to Smoke were assessed in the immediate postpartum period. Based on their intention to remain abstinent, 121 women identified in the acquisition-Precontemplation (aPC) group comprised the study sample. Smoking status was assessed again at 2 months postpartum., Results: A cluster analysis was performed to identify subgroups of the acquisition-Precontemplation (aPC) group. Four subgroups were identified and were labeled Most Protected, Ambivalent, Risk Denial, and High Risk. Logistic regression was performed to establish external validity of the clusters. The clusters and exclusive breastfeeding were the only statistically significant variables associated with relapse at 2 months postpartum., Conclusions: The results confirmed the clusters identified in previous prevention research with both adolescents and postpartum women, The cluster profiles can serve to guide the development of a tailored intervention program., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

To enhance prolonged smoking cessation or reduction, a better understanding of the process of change is needed. This study examines daily smoking rates following the end of an intensive smoking reduction program originally designed to evaluate the relationship of tobacco biomarkers with reduced levels of smoking. A novel pattern-oriented approach called time series-based typology is used to detect homogeneous smoking patterns in time-intensively (i.e., 40 occasions) observed smokers (n=57), who were predominantly Caucasian (94.7%), male (52.6%), and on average 47.9 years old (SD=11.3). The majority of the smokers exhibited a change in their daily smoking behavior over the course of 40 days with 47.4% increasing and 40.4% decreasing the number of cigarettes smoked per day, which is contrary to the results a group level approach would have found. Very few smokers (12.3%) maintained their average smoking rate, and exhibited an externally controlled smoking pattern. Trajectory type could be predicted by temporally proximal motivation and self-efficacy variables ((F(4, 106)=3.46, p=.011, eta2=.115), underscoring their importance in maintaining reduced smoking rates. Time series-based typology demonstrated good sensitivity to the identification of meaningfully different trajectories.

This longitudinal study compared 14 principles and processes of change applied by successful quitters, relapsers and non-quitters over 24 months in a representative sample of 4144 smokers in intervention and control groups. The successful quitters showed a decrease in the use of experiential processes (cognitive, affective and effective) and an increase in behavioral processes (e.g., counter-conditioning and stimulus control). The non-quitters showed little change in their use of almost all of the processes. The relapsers' use of the processes tended to initially parallel the successful quitters, but over time, their use ended up between the quitters and the non-quitters. In general, the relapsers ended up working harder but not smarter than the successful quitters. The pattern of use of change processes in the treatment and control groups were remarkably similar, suggesting common pathways to change.

The Processes of Change are the cognitions, behaviors, and emotions that people employ to change their behaviors. However, the processes of change remain the least studied dimension of the transtheoretical model. The present study presents a psychometric evaluation of the short form of the processes of change inventory for smoking cessation in an adolescent sample of 798 ninth-grade smokers from 22 Rhode Island high schools. The majority of the sample was white (87.2%), split approximately evenly as regards to gender (48.1% female), with an average age of 14.3 (SD=0.6) years of age. The same hierarchical model established on the adult sample was fit to the 20-item inventory. This model included 10 primary factors representing the processes of change and two second order factors that grouped the processes into five behavioral and five experiential processes of change. Model fit indices (RMSEA=0.08, CFI=0.92) supported the hypothesized structure. External validation was established by testing for stage differences in the use of the ten processes. A significant MANOVA (F(4,793)=18.517, p<0.001) and separate ANOVAs demonstrated that the use of all ten processes increased across the stages, as predicted by the transtheoretical model of behavior change. The processes of change help guide researchers, clinicians, and intervention program developers towards effective strategies to assist individuals at all stages of change progress towards healthier behaviors.

The Transtheoretical Model constructs have been used in the development of effective tailored interventions for smoking cessation. Recent studies have suggested the existence of clusters within each stage of change, based on measures of the Pros, Cons and the Situational Temptations. The goal of this study is to replicate cluster subtypes within the Precontemplation stage of change in a secondary analysis of data from a sample of current smokers (N=3967). Four random samples ranging from 312 to 400 participants were selected from the Precontemplators subgroup. The cluster analyses were performed using Ward's Method on the standard scores from the three scales. Interpretability of the pattern, pseudo F test, and dendograms were used to determine the number of clusters. Four cluster subtypes were found and replicated across samples. The ten processes of change and two smoking behavior variables were used in the external validation of clusters. Statistically significant multivariate effects were found for the processes of change (p<.05) and the smoking behavior variables (p<.001) in all samples. The cluster patterns closely replicate earlier findings and provide evidence for the existence of clusters subtypes within the Precontemplation stage of change.

Three stage-based expert system interventions for smoking, high-fat diet, and unsafe sun exposure were evaluated in a sample of 2,460 parents of teenagers. Eighty-four percent of the eligible parents were enrolled in a 2-arm randomized control trial, with the treatment group receiving individualized feedback reports for each of their relevant behaviors at 0, 6, and 12 months as well as a multiple behavior manual. At 24 months, the expert system outperformed the comparison condition across all 3 risk behaviors, resulting in 22% of the participants in action or maintenance for smoking (vs. 16% for the comparison condition), 34% for diet (vs. 26%), and 30% for sun exposure (vs. 22%). Proactive, home-based, and stage-matched expert systems can produce significant multiple behavior changes in at-risk populations where the majority of participants are not prepared to change., (((c) 2004 APA, all rights reserved))

The Transtheoretical Model (TTM) has been extensively validated in representative samples of adult smokers. Stage effects, i.e., the patterned relationships between Stage of Change (SOC) and other TTM variables, have been reported in a variety of samples. This study describes reliability data for the TTM variables and tests the stage effects with an ethnically diverse sample of 296 parents with young children. On the basis of theory and previous empirical evidence from a general population, it is possible to make quantitative predications about the magnitude of the expected effect sizes for the Decisional Balance, Situational Temptations, and Processes of Change subscales. For each variable, both a test of significance and a comparison with the expected effect sizes is reported. Results indicated significant stage differences for 8 of the 11 TTM subscales, and all quantitative predictions were confirmed. This study supports the use of TTM measures in an ethnically diverse sample.

A stage-matched expert system intervention was evaluated on 4144 smokers in a two-arm randomized control trial with four follow-ups over 24 months. Smokers were recruited by random digit-dial calls, and 80.0% of the eligible smokers were enrolled. Individualized and interactive expert system computer reports were sent at 0, 3, and 6 months. The reports provided feedback on 15 variables relevant for progressing through the stages. The primary outcomes were point prevalence and prolonged abstinence rates. At 24 months, the expert system resulted in 25.6% point prevalence and 12% prolonged abstinence, which were 30% and 56% greater than the control condition. Abstinence rates at each 6-month follow-up were significantly greater in the Expert System (ES) condition than in the comparison condition with the absolute difference increasing at each follow-up. A proactive home-based stage-matched expert system smoking cessation program can produce both high participation rates and relatively high abstinence rates.

Developing interventions for reducing adolescent smoking rates based on the Transtheoretical Model (TTM) requires the development of quality measures of the key constructs of the model. The goal of this investigation was to evaluate the psychometric properties of measures of Stage of Change, Decisional Balance and Situational Temptation for both smokers and nonsmokers and to test if the predicted relationships between these constructs were confirmed in a large (N=2808) sample of adolescents. A correlated three factor model (Social Pros, Coping Pros and Cons) provided an excellent fit to the 12-item Decisional Balance inventory for both smokers (CFI=0.957) and nonsmokers (CFI=0.963). A hierarchical four factor model (negative affect, positive social, habit strength and weight control) provided an excellent fit to the eight-item Situational Temptations inventory for smokers (CFI=0.969). A hierarchical five-factor model (same four as smokers plus Curiosity) provided an excellent fit to the 10-item Situational Temptations inventory for nonsmokers (CFI=0.943). The relationships between both the Decisional Balance and temptation scales and the Stages of Change were verified for both smokers and nonsmokers. The measures for adolescents are similar to but not the same as the measures of these constructs for adults.

Sensitive measurement of behavior change requires dependent measures that are sensitive to the whole spectrum of change, not just a single aspect of change. Traditional outcome variables such as point prevalence for smoking cessation focus on a single discrete event and ignore all other progress. Alternatively, the criterion measurement model (CMM) is an approach that posits a three-construct outcome model (habit strength, positive evaluation strength, and negative evaluation strength), where different constructs are sensitive to change for different aspects of the temporal domain. In this article, a series of 40 differential a priori predictions were tested using a large representative sample of smokers. The focus was on the prediction of specific effect sizes rather than statistical significance. A series of comparisons involving stage transitions was examined using five variables representing the three CMM constructs. The predictions involved movement from one of three initial stages (precontemplation, contemplation, and preparation) to stage membership 12 months later. Thirty-six of the 40 predictions were confirmed, indicating that the outcome model has strong construct validity and accurately reflects movement between the stages of change.

Adolescent cigarette smoking acquisition and cessation were integrated into a single nine-stages-of-change continuum using the transtheoretical model of change framework. Findings in a high school student sample (n > 700) showed that a few of the never smokers were planning to try smoking, and half of the current smokers were contemplating quitting. More than half of former smokers were long-term quitters. The high pros of smoking scores assessing coping benefits of cigarettes were related to smoking acquisition and the high con (disadvantages) scores to long-term abstinence. Never smokers were most tempted to try smoking when they anticipated that smoking would help reduce negative and increase positive mood. Current and former smokers were tempted due to peer cigarette offers and negative mood. These temptations were significantly reduced among ex-smokers.

Interrelationships among key constructs of the Transtheoretical Model are examined for the first time on a large (N = 4,144) representative sample of smokers. The posited relationships between the early Stages of Change (Precontemplation, Contemplation, Preparation) and the Processes of Change, Decisional Balance, and Situational Temptation are generally supported. Precontemplators are found to use the Processes of Change the least and those in Preparation use them the most. Precontemplators also have the least negative attitudes toward their smoking behavior. Precontemplators and Contemplators are tempted to smoke in more situations than those in Preparation. Precontemplators are also the most addicted to smoking, followed by those in Contemplation and Preparation, respectively, when examined on traditional measures of smoking behavior. The implications for smoking cessation efforts are also discussed.

The association between smoking status and mammography was examined for women aged 40 to 75 (n = 2902), who were recruited through a statewide random digit dial survey. Controlling for income, education, age, marital status, ethnicity, and self-rated health, logistic regression showed that current smokers were less likely to be screened on each of three indicators of mammography status. Less than a high school education, income less than $20,000, martial status, and age also showed associations with screening. Having a recent medical visit was important for screening specifically among the women who smoked (n = 851). Smoking may pose a challenge to achieving national mammography goals.

Time series data were collected twice daily for 62 days from 10 individuals on three variables related to smoking habit strength: number of cigarettes smoked, salivary cotinine, and carbon monoxide. The two purposes of this study were: (a) to evaluate which time series model(s) best fits each of the measures; and (b) to determine which model of nicotine regulation is consistent with the data. Three models of nicotine regulation were considered: (a) nicotine fixed effect; (b) nicotine regulation; and (c) multiple regulation. These models provide different predictions about the size and direction of the lag-one autocorrelation. Each measure was described in terms of one of a family of time series models represented mathematically as ARIMA (p, d, q). Models varied by individual, but a single model described the majority of subjects for all three variables. The clearest model identification was for the number of cigarettes smoked where an ARIMA (1, 0, 0) model with a moderate to strong negative dependency fit the majority of the subjects. This provided strong support for the multiple regulation model. An appendix provides a brief review of time series methodology.

Traditionally smoking cessation studies use smoker and nonsmoker categories almost exclusively to represent individuals quitting smoking. This study tested the transtheoretical model of change that posits a series of stages through which smokers move as they successfully change the smoking habit. Subjects in precontemplation (n = 166), contemplation (n = 794), and preparation (n = 506) stages of change were compared on smoking history, 10 processes of change, pretest self-efficacy, and decisional balance, as well as 1-month and 6-month cessation activity. Results strongly support the stages of change model. All groups were similar on smoking history but differed dramatically on current cessation activity. Stage differences predicted attempts to quit smoking and cessation success at 1- and 6-month follow-up. Implications for recruitment, intervention, and research are discussed.

Researchers studying relapse for an addictive behavior have employed two different conceptual models. Researchers concerned with typologies of relapse situations have developed a variety of discrete classes of high risk situations. Researchers who have employed a Self-efficacy approach have typically assessed different situations but scored the measure as a single general construct. Using structural modeling, this paper evaluates five alternative measurement models, representing alternative conceptualizations. A hierarchical model which integrates the previously competing models provided the best fit to the data and serves to explain a large body of previous findings. The model includes three first order constructs (Positive/Social; Negative/Affective; and Habit/Addictive) and one general second-order factor. The results were replicated across two different response formats and two different subject samples.

A stage model of adolescent cigarette smoking acquisition was developed and an instrument to measure the stages was created. Internal validity was obtained based on principal component analysis, item analysis, and coefficient alpha. Three distinct components were labeled precontemplation, decision-making, and maintenance. The scales had reliability coefficients ranging from .86 to .94. External validity was obtained by relating the scale scores to measures of smoking behavior and intent to smoke. A cluster analysis resulted in nine distinct clusters, including profiles representing precontemplation, contemplation, decision-making, action, and maintenance stages. Further validity was obtained for the clusters by comparing groups on the perceived positive and negative consequences of smoking, and the derived pleasure from smoking.

The Decisional Balance Sheet of Incentives has been proposed by Janis and Mann (1977) as a general schema for representing both the cognitive and motivational aspects of human decision making. In this study, a brief 24-item paper and pencil measure was constructed to study the decision-making process in smoking cessation. Two scales were identified and labeled the Pros of Smoking and the Cons of Smoking. These scales were successful in differentiating between five groups representing stages of change in the quitting process. The two scales were also successful when employed as predictors of smoking status at a 6-month follow-up. The Decisional Balance Scale appears to be a powerful construct of potentially wide application in behavior change.