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Dive into the research topics where Thad R. Leffingwell is active.

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Featured researches published by Thad R. Leffingwell.


Psychology of Addictive Behaviors | 2013

Personalized feedback interventions for college alcohol misuse: an update of Walters & Neighbors (2005).

Mary Beth Miller; Thad R. Leffingwell; Kasey Claborn; Ellen Meier; Scott T. Walters; Clayton Neighbors

Personalized drinking feedback is an evidence-based and increasingly common way of intervening with high-risk college drinking. This article extends an earlier review by Walters and Neighbors (S. T. Walters & C. Neighbors, 2005, Feedback interventions for college alcohol misuse: What, why, and for whom? Addictive Behaviors, 30, 1168-1182) by reviewing the literature of published studies using personalized feedback as an intervention for heavy drinking among college students. This article updates and extends the original review with a more comprehensive and recent set of 41 studies, most of which were not included in the original article. This article also examines within-subject effect sizes for personalized feedback interventions (PFIs) for high-risk alcohol use and examines the content of PFIs more closely to provide insight on the most essential components that will guide the future development of feedback-based interventions. In general, PFIs appear to be reliably effective at reducing harmful alcohol misuse among college students. Some components are almost universally included (i.e., drinking profile and normative comparison), precluding inferences regarding their unique contribution. Significantly larger effect sizes were observed for interventions that included decisional balance, practical costs, and strategies to limit risks. The present research provides an important empirical foundation for determining the relative contribution of individual components and facets in the efficacy of PFIs.


Alcoholism: Clinical and Experimental Research | 2013

Continuous Objective Monitoring of Alcohol Use: Twenty-First Century Measurement Using Transdermal Sensors

Thad R. Leffingwell; Nathaniel J. Cooney; James G. Murphy; Susan E. Luczak; Gary Rosen; Donald M. Dougherty; Nancy P. Barnett

Transdermal alcohol sensors continuously collect reliable and valid data on alcohol consumption in vivo over the course of hours to weeks. Transdermal alcohol readings are highly correlated with breath alcohol measurements, but transdermal alcohol levels lag behind breath alcohol levels by one or more hours owing to the longer time required for alcohol to be expelled through perspiration. By providing objective information about alcohol consumption, transdermal alcohol sensors can validate self-report and provide important information not previously available. In this article, we describe the development and evaluation of currently available transdermal alcohol sensors, present the strengths and limitations of the technology, and give examples of recent research using the sensors.


Psychology Health & Medicine | 2015

A systematic review of treatment fatigue among HIV-infected patients prescribed antiretroviral therapy

Kasey Claborn; Ellen Meier; Mary Beth Miller; Thad R. Leffingwell

HIV treatment requires lifelong adherence to medication regimens that comprise inconvenient scheduling, adverse side effects, and lifestyle changes. Antiretroviral adherence and treatment fatigue have been inextricably linked. Adherence in HIV-infected populations has been well investigated; however, little is known about treatment fatigue. This review examines the current state of the literature on treatment fatigue among HIV populations and provides an overview of its etiology and potential consequences. Standard systematic research methods were used to gather published papers on treatment fatigue and HIV. Five databases were searched using PRISMA criteria. Of 1557 studies identified, 21 met the following inclusion criteria: (a) study participants were HIV-infected; (b) participants were prescribed antiretroviral medication; (c) the article referenced treatment fatigue; (d) the article was published in a peer-reviewed journal; and (e) text was available in English. Only seven articles operationally defined treatment fatigue, with three themes emerging throughout the definitions: (1) pill burden; (2) loss of desire to adhere to the regimen; and (3) nonadherence to regimens as a consequence of treatment fatigue. Based on these studies, treatment fatigue may be defined as “decreased desire and motivation to maintain vigilance in adhering to a treatment regimen among patients prescribed long-term protocols.” The cause and course of treatment fatigue appear to vary by developmental stage. To date, only structured treatment interruptions have been examined as an intervention to reduce treatment fatigue in children and adults. No behavioral interventions have been developed to reduce treatment fatigue. Further, only qualitative studies have examined treatment fatigue conceptually. Studies designed to systematically assess treatment fatigue are needed. Increased understanding of the course and duration of treatment fatigue is expected to improve adherence interventions, thereby improving clinical outcomes for individuals living with HIV.


Psychology of Addictive Behaviors | 2013

Stimulant medication use in college students: comparison of appropriate users, misusers, and nonusers.

Cynthia M. Hartung; Will H. Canu; Carolyn S. Cleveland; Elizabeth K. Lefler; Melissa J. Mignogna; David A. Fedele; Christopher J. Correia; Thad R. Leffingwell; Joshua D. Clapp

While stimulant medication is commonly prescribed to treat Attention-Deficit/Hyperactivity Disorder in children and adolescents (Merikangas, He, Rapoport, Vitiello, & Olfson, 2013; Zuvekas & Vitiello, 2012) and is considered an empirically supported intervention for those groups (Barkley, Murphy, & Fischer, 2008; Pelham & Fabiano, 2008; Safren et al., 2005) surprisingly little is known about the efficacy of stimulants in the slightly older emerging adult population. A focus has emerged, however, on illicit stimulant use among undergraduates, with studies suggesting such behavior is not uncommon (e.g., Arria et al., 2013). Unfortunately, details are lacking regarding outcomes and personal characteristics associated with different patterns of stimulant misuse. The current study compares the characteristics of four groups of college students, including those with stimulant prescriptions who use them appropriately (i.e., appropriate users), those who misuse their prescription stimulants (i.e., medical misusers), those who obtain and use stimulants without a prescription (i.e., nonmedical misusers), and those who do not use stimulant medications at all (i.e., nonusers). Undergraduates (N = 1,153) from the Southeastern, Midwest, and Rocky Mountain regions completed online measures evaluating patterns of use, associated motives, side effects, ADHD symptomatology, and other substance use. Both types of misusers (i.e., students who abused their prescriptions and those who obtained stimulants illegally) reported concerning patterns of other and combined substance use, as well as higher prevalence of debilitating side effects such as insomnia and restlessness. Research and practical implications are discussed.


Journal of Consulting and Clinical Psychology | 2014

Meta-analysis of motivational interviewing for adolescent health behavior: efficacy beyond substance use.

Christopher C. Cushing; Chad D. Jensen; Mary Beth Miller; Thad R. Leffingwell

OBJECTIVE We sought to systematically review and meta-analyze the literature comparing motivational interviewing (MI) with a control condition for adolescent health behavior change. In the current article, we reviewed only studies targeting health behaviors other than substance use (e.g., sexual risk behavior, physical activity, diet). METHOD Systematic literature searches of PsycINFO, PubMed/Medline, and ERIC were conducted through June 2013. Databases were combined, and studies were screened for inclusion or exclusion. To be included in the current review, studies were required to (a) compare the efficacy of at least 1 session of MI intervention with a control condition using a between-groups design and (b) examine a non-substance-use health behavior in adolescents. Fifteen studies met criteria for inclusion and were described qualitatively and quantitatively. RESULTS Using a fixed-effects model, we found that MI interventions produced a small, but significant, aggregate effect size for short-term postintervention effects-g = .16; 95% confidence interval (CI) [.05, .27]-compared with control conditions. Moreover, this effect was sustained at follow-up assessments averaging 33.6 weeks postintervention, n = 8, g = .18, 95% CI [.05, .32]. CONCLUSIONS MI interventions for adolescent health behavior appear to be effective. In addition, the magnitude of the aggregate effect size does not appear to differ meaningfully from reports of interventions targeting only substance use in adolescents. However, significant lack of clarity exists regarding interventionist training requirements necessary to ensure intervention effectiveness.


Archive | 2009

Pharmacology and treatment of substance abuse : evidence- and outcome-based perspectives

Lee M. Cohen; Frank L. Collins; Alice M Young; Dennis E. McChargue; Thad R. Leffingwell; Katrina L. Cook

MDFT Research Evidence 445 MDFT Versus Peer Group Treatment and Multifamily Educational Groups 445 MDFT Versus Individual CBT 445 MDFT Versus Peer Group Therapy for Young Teens 446 MDFT in the CYT Study 446 MDFT as a Prevention Approach for High-Risk Youth 446 Clinical Judgment and Expertise: MDFT Process and Adherence Research 447 Adolescent Domain: Building Therapeutic Alliances 448 Parenting Domain: Changing Parenting Practices 448 Family Domain: Resolving Therapeutic Impasses 449 MDFT Adherence Evaluation and Monitoring to Support Clinical Judgment and Decision Making 450 Client Characteristics and Values: The Different “Looks” of MDFT 450 MDFT with Different Cultural Groups 451 MDFT with Adolescent Girls and their Families 452 MDFT for Youth with Comorbid Mental Health Problems 453 Pillar 4: MDFT’s Potential for Dissemination in Diverse Practice Settings 454 Transporting Family Therapy into Adolescent Day Treatment 454


Behavioural and Cognitive Psychotherapy | 2007

Social Psychology and Motivational Interviewing: A Review of Relevant Principles and Recommendations for Research and Practice

Thad R. Leffingwell; Christopher A. Neumann; Alison C. Babitzke; Melissa J. Leedy; Scott T. Walters

Motivational Interviewing is an evidence-based brief intervention for helping people change problematic health behaviors. The development of motivational interviewing was influenced, in part, by the social psychology literature, especially the concept of psychological reactance. This paper argues for expanding the influence of social psychological processes upon the practice of motivational interviewing by reviewing three relevant processes: defensive bias, message framing, and cognitive-affective ambivalence. Relevant research findings are reviewed and specific recommendations are offered for future research and enhancing the practice of motivational interviewing.


Psychology of Addictive Behaviors | 2013

What do college student drinkers want to know? Student perceptions of alcohol-related feedback

Mary Beth Miller; Thad R. Leffingwell

Despite major advances and success in finding effective interventions for problematic drinking among college students, personalized feedback interventions (PFIs) continue to include a range of components that vary widely across intervention trials. To facilitate research regarding which feedback components may be most effective, the present research provides preliminary evidence regarding student perceptions of and preferences for different types of feedback components. Undergraduate student drinkers (n = 397, 41% male) rated their affinity for and skepticism of 14 feedback components and identified the feedback components that they most preferred. The majority of students preferred information regarding descriptive normative comparisons and the practical costs of drinking, whereas few reported a desire to learn behavioral strategies to limit risk or didactic information. High-risk drinkers (n = 228) reported lower ratings for all feedback components than did low-risk drinkers, and men (n = 162, 41%) provided significantly lower ratings for all feedback components than did women. This is the first study to document student preferences for the different feedback components included in PFIs. The current study generates hypotheses regarding components that may increase the efficacy of current feedback interventions for high-risk drinking.


Aids Care-psychological and Socio-medical Aspects of Aids\/hiv | 2014

Pilot study examining the efficacy of an electronic intervention to promote HIV medication adherence

Kasey R. Claborn; Thad R. Leffingwell; Mary Beth Miller; Ellen Meier; Johnny R. Stephens

Widespread dissemination of current interventions designed to improve HIV medication adherence is limited by several barriers, including additional time and expense burdens on the health care systems. Electronic interventions could aid in dissemination of interventions in the clinic setting. This study developed and tested the feasibility and acceptability of a computer-based adaption of an empirically supported face-to-face adherence promotion intervention. HIV-positive individuals (N = 92) on antiretroviral therapy with self-reported adherence <95% were randomized to the electronic intervention + treatment as usual (TAU) or TAU only. Study outcome variables which included treatment self-efficacy and self-reported medication adherence were assessed at baseline and follow-up. Time × condition interaction effects in mixed model analysis of variance (ANOVAs) examined the differences in patterns of change in the outcome variables over time between the two groups. Participants in the electronic intervention condition reported higher levels of self-efficacy to adhere to their medication at follow-up compared to the control condition. Although nonsignificant, levels of adherence tended to improve over time in the intervention condition, while TAU adherence remained constant. This was the first study to investigate a single-session, computer-based adherence intervention. Results suggest that electronic interventions are feasible and this method may be effective at increasing self-efficacy and adherence among patients reporting suboptimal adherence levels.


Journal of American College Health | 2015

The Inability of Self-affirmations to Decrease Defensive Bias Toward an Alcohol-Related Risk Message Among High-Risk College Students.

Ellen Meier; Mary Beth Miller; William V. Lechner; Nate Lombardi; Kasey Claborn; Thad R. Leffingwell

Abstract Objective: To examine the efficacy of a self-affirmation task in deterring college alcohol misuse and the importance of preexisting beliefs in predicting subsequent behavior change. Participants: Heavy-drinking undergraduates (N = 110) participated during the 2011–2012 academic year. Methods: Participants were randomized to complete an affirmation or control task before reading an alcohol risk message. Alcohol-related beliefs and behaviors were assessed. Participants completed a 2-week online follow-up assessing alcohol-related behaviors. Results: Both groups reported increased perceived problem importance, but neither group displayed changes in personal risk. Follow-up assessment revealed similar, significant declines in peak consumption in both groups, with no significant between-group differences. Preexisting beliefs accounted for 5% to 10% of variance in drinking outcomes. Conclusions: An affirmation task does not seem to decrease defensive processing or alter high-risk drinking behaviors among college students and should not be utilized in lieu of more effective strategies.

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Ellen Meier

University of Minnesota

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Scott T. Walters

University of North Texas Health Science Center

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Theodore L Wagener

University of Oklahoma Health Sciences Center

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Frank L. Collins

Oklahoma State University–Stillwater

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Stephen R. Gillaspy

University of Oklahoma Health Sciences Center

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Alice M Young

Texas Tech University Health Sciences Center

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