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The goal of this study was to develop, translate, and evaluate measures for decisional balance and situational temptations for Bulgarian adolescent nonsmokers and to test the predicted relationships with stages of change. Students in the last grades of high school (15-19 years old) recruited in 12 randomly selected schools participated in the study. Data from the 369 nonsmokers (61.8% female, mean age 16.4 years, 97.1% Bulgarian) were used in the measurement development. A two-factor model for decisional balance (CFI=.94) and a hierarchical three-factor model for temptations (CFI=.90) demonstrated the best fit. The predicted crossover pattern for decisional balance and decreasing trend for temptations across the stages of change was verified. Both measures demonstrated tau-equivalent invariance across gender, in addition to good psychometric properties. These results, with the caveat of the noted limitations, support the cross-cultural validity of these transtheoretical model (TTM) constructs and indicate that they can be used as a basis for development of smoking prevention interventions.
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http://dx.doi.org/10.1080/10826080601094140 | DOI Listing |
J Environ Manage
August 2025
Department of Agricultural Education and Communication, University of Florida, PO Box 110540, Gainesville, FL, 32601, USA. Electronic address:
Pollinators are declining worldwide due to human-induced factors including land use conversions, urbanization, and climate change. Relatedly, human behavior is expected to play a central role in addressing pollinator decline, making complex social science research essential to protecting biodiversity. Pollinator-friendly roadsides represent opportunities to provide habitat and connectivity in relatively underutilized landscapes.
View Article and Find Full Text PDFCancer Control
August 2025
Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
IntroductionAchieving health literacy is a primary goal of Healthy People 2030 due to the increasing recognition of its role to improve the health and well-being of all populations. Shared decision-making (SDM), a recognized process between patients and health care providers to discuss which health care decision is best for the patient considering the pros and cons, patient preferences, and circumstances, can improve health outcomes. Specifically, SDM can increase patient knowledge and the quality of decision-making, resulting in patients feeling more empowered, demonstrating less decisional regret, and more motivation.
View Article and Find Full Text PDFTrials
August 2025
Centre for Trials Research, Cardiff University, Wales, UK.
Background: Trials involving adults who lack capacity to consent can be challenging, partly due to the involvement of 'proxy' decision-makers. This is usually a family member, who advises the researchers about the person's wishes. Families can find decision making difficult and some experience a decisional burden.
View Article and Find Full Text PDFMed Decis Making
October 2025
Division of General Internal Medicine, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH, USA.
BackgroundValues clarification methods may be particularly appropriate for decision support in lung cancer screening (LCS), for which patients must consider a complex tradeoff of benefits and harms. Values clarification methods that are explicit and use theory-based methods may best support decision making.PurposeTo characterize values clarification methods in decision support tools for LCS and explore associations with behavioral and decisional outcomes.
View Article and Find Full Text PDFAnn Surg Oncol
August 2025
Division of Surgical Oncology, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Background: Rates of contralateral prophylactic mastectomy (CPM) for unilateral breast cancer have increased significantly. Decision aids (DAs) can support the shared decision-making process. This study systematically reviewed the literature to understand the feasibility and efficacy of using DAs to improve decision outcomes about CPM.
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