Decisional balance measure for assessing and predicting smoking status.

Velicer, Wayne F.; DiClemente, Carlo C.; Prochaska, James O.; Brandenburg, Nancy A.

doi:10.1037/0022-3514.48.5.1279

Cited by 743 publications

(573 citation statements)

References 22 publications

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“…Longer measures, and more psychometrically sound measures of Self-efficacy (Baer & Lichtenstein, 1988, Velicer, DiClemente, Rossi, & Prochaska, (1990 measures would have strengthened our findings. Other psychosocial variables that have been important in other studies, such as Decisional Balance (Velicer, DiClemente, Prochaska, & Brandenberg, 1985) or a variant from other theoretical models and Stage of Change (DiClemente et al, 1991), should be included in any future study.…”

Section: Limitationsmentioning

confidence: 99%

Detecting longitudinal patterns of daily smoking following drastic cigarette reduction

Hoeppner

Goodwin

Velicer

et al. 2008

Addictive Behaviors

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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 selfefficacy variables ((F(4, 106)=3.46, p=.011, η 2 =.115), underscoring their importance in maintaining reduced smoking rates. Time series-based typology demonstrated good sensitivity to the identification of meaningfully different trajectories. Keywordstime series-based typology; time series analysis; harm reduction; longitudinal smoking patterns; idiographic research A new wave of behavior change intervention research is beginning that seeks to usher a new generation of more effective, far-reaching, and sustainable interventions into existence (Orleans, 2005; S. D. Solomon, 2005). The creation and dissemination of innovative methodological tools that allow for the analysis of complex longitudinal data is an important part of this new initiative. In this paper, we present an innovative approach to longitudinal data that is based on traditionally used analyses and is thus very accessible to applied researchers. In particular, our paper focuses on detecting longitudinal patterns of daily smoking following drastic cigarette reduction. With most cigarette smokers relapsing within three months of a cessation attempt (Fiore, Smith, Jorenby, & Baker, 1994;Shiffman, 1993), there is a need to improve our understanding of the process of behavior change following smoking reduction Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. and cessation and underlying relapse. To this end, our paper presents the largest time series study of smoking behaviors to date. It is also our starting point for showcasing an innovative and easy to use analytical to...

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Section: Limitationsmentioning

confidence: 99%

Detecting longitudinal patterns of daily smoking following drastic cigarette reduction

Hoeppner

Goodwin

Velicer

et al. 2008

Addictive Behaviors

Self Cite

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“…and a 10-item "con" subscale evaluating negative aspects of ST use (e.g., "Others close to me would suffer if I became ill from tobacco use."). A decisional balance score was calculated by subtracting the con score from the pro score, with higher scores indicating more favorable views of tobacco use (Velicer et al, 1985). Participants were asked to report their alcohol and coffee consumption.…”

Section: Questionnairementioning

confidence: 99%

“…Questions relating to ST usage surveyed the participants' age at first use, years of ST use, and type of product used, as well as inquiring about tobacco use by their social network. The Smokeless Tobacco Dependence Scale and a Decisional Balance Scale, modified to address smokeless tobacco use, were also included (Severson, 1997;Velicer, DiClemente, Prochaska, & Brandenburg, 1985). The Decisional Balance Scale consisted of two subscales; a 10-item "pro" subscale evaluating aspects of tobacco use the participant viewed as positive (e.g., "Tobacco use is pleasurable.")…”

Section: Questionnairementioning

confidence: 99%

Factors associated with smokeless tobacco cessation in an Appalachian population

Kauffman¹,

Ferketich²,

Wee³

et al. 2008

Addictive Behaviors

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Identifying factors associated with successful tobacco quit attempts may help in the development and targeting of effective cessation strategies. This paper aims to describe factors associated with smokeless tobacco (ST) cessation and compares the results to findings in the smoking cessation literature. Prospective data on 116 men aged 19 to 70 and participating in a ST cessation program were used to examine correlates of successful ST cessation at 1 year post-intervention. Controlling for age, level of education (p =0.002) and daily coffee consumption (p =0.005) had significant independent associations with successful cessation. No ST use variables were significant predictors of cessation success. In a multivariable logistic regression model three factors were significantly associated with cessation: education (p = 0.010), coffee consumption (p =0.019), and age (p =0.029). Factors associated with successful ST cessation in this sample are consistent with predictors of smoking cessation reported in the literature. Based on its widespread use and the strength of its association with successful quitting, the role of caffeine consumption in ST cessation merits further study.

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“…Few of the previously published descriptive studies have elicited data relevant to perceived functions of caffeine, nicotine, or alcohol among persons with SMI. Although the perceived costs and benefits of substance use have been addressed in other populations (e.g., Velicer, DiClemente, Prochaska, & Brandenburg, 1985), the relevance of previous research to persons with SMI remains unknown. It is likely that the contingencies maintaining substance use may differ across sub-populations of substance users.…”

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confidence: 99%

Use of legal drugs by psychiatric outpatients: Benefits, costs, and change

Carey

Maisto

Carey

et al. 1999

Cognitive and Behavioral Practice

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Caffeine, nicotine, and alcohol use by persons with a severe mental illness occurs frequently but is poorly understood. We used qualitative methods to elicit information regarding the functional relationships between legal substance use and its antecedents and consequences. This report summarizes responses provided by 37 psychiatric outpatients who participated in focus groups and key informant interviews regarding the use and functions of alcohol, caffeine, and nicotine. We describe major themes regarding positive and negative consequences, triggers for use, change efforts, and offer observations regarding substance use in this under-served population. Licit Substance Use Among Psychiatric Outpatients: A Qualitative AnalysisCaffeine, nicotine, and alcohol are used extensively by persons with severe mental illnesses (SMI), often at rates that far exceed rates found in the general population. Test, Wallisch, Allness, and Ripp (1989) reported that 86% of their patients with schizophrenia drank coffee, averaging 6 cups per day; this quantity has been associated with caffeine withdrawal and related disorders (American Psychiatric Association, 1994). In contrast, only 9% of the general population consumes as much caffeine (Greden, Fontaine, Lubetsky, & Chamberlain, 1978). Excessive caffeine use can have deleterious effects on mental status, increasing anxiety and depression (Greden et al., 1978;Winstead, 1976), and exacerbating psychotic symptoms in persons with schizophrenia (Carey & Carey, 1989;Mikkelsen, 1978).As many as three-quarters of patients with schizophrenia smoke (Goff, Henderson, & Amico, 1992;Ziedonis, Kosten, Glazer, & Frances, 1994) compared to one-quarter of the general population. In addition to the established risks for cancer and heart disease, additional deleterious effects may accrue for smokers receiving psychiatric treatment. Cigarette smoking increases hepatic enzyme action, hastening the elimination of drugs that depend on hepatic metabolism, thereby reducing plasma concentration of some therapeutic drugs (Perry, Miller, Arndt, Smith, & Holman, 1993). Persons with schizophrenia who smoke have also received higher ratings of positive symptoms (Goff et al., 1992;Ziedonis et al., 1994). Although cause and effect relationships are not clear, nicotine may exacerbate psychotic symptoms and reduce the effectiveness of antipsychotic medications.Alcohol use by the SMI is also common. Among persons diagnosed with schizophrenia, onethird meet criteria for an alcohol use disorder, representing an odds ratio of 3.3. Similar odds ratios for alcohol use disorder range from 1.9 among persons with mood disorders (22%) to 1.5 for persons with anxiety disorders (18%; Mueser, Bellack, & Blanchard, 1992 Drake, Osher, & Wallach, 1989), exacerbation of delusions and hallucinations (Noordsy et al., 1991) and depressive symptoms (Cuffel & Chase, 1994). Larger studies have also confirmed that comorbid alcohol abuse increases the likelihood of violent behavior (Swanson, 1993) among persons with a SMI.Drinking ...

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Decisional balance measure for assessing and predicting smoking status.

Cited by 743 publications

References 22 publications

Detecting longitudinal patterns of daily smoking following drastic cigarette reduction

Detecting longitudinal patterns of daily smoking following drastic cigarette reduction

Factors associated with smokeless tobacco cessation in an Appalachian population

Use of legal drugs by psychiatric outpatients: Benefits, costs, and change

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