The Experts below are selected from a list of 442863 Experts worldwide ranked by ideXlab platform
Marta M. Marques - One of the best experts on this subject based on the ideXlab platform.
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Health Behavior Change for Obesity Management.
Obesity Facts, 2017Co-Authors: Pedro J. Teixeira, Marta M. MarquesAbstract:Health Behavior Change is central in obesity management. Due to its complexity, there has been a growing body of research on: i) the factors that predict the adoption and maintenance of health behavio
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Health Behavior Change for Obesity Management.
Obesity facts, 2017Co-Authors: Pedro J. Teixeira, Marta M. MarquesAbstract:Health Behavior Change is central in obesity management. Due to its complexity, there has been a growing body of research on: i) the factors that predict the adoption and maintenance of health Behaviors, ii) the development and testing of theories that conceptualize relationships among these factors and with health Behaviors, and iii) how these factors can be implemented in effective Behavior Change interventions, considering characteristics of the content (techniques) and delivery. This short review provides an overview of advances in Behavior Change science theories and methods, focusing on obesity management, and includes a discussion of the main challenges imposed by this research field.
Mary H. Palmer - One of the best experts on this subject based on the ideXlab platform.
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Use of health Behavior Change theories to guide urinary incontinence research
Nursing Research, 2004Co-Authors: Mary H. PalmerAbstract:BACKGROUND: Urinary incontinence in adults has been the focus of researchers for over 40 years. Health Behavior Change theories, predominantly operant conditioning, have guided much of the intervention research. In recent years cognitive theories have been used to guide Behavioral interventions for urinary incontinence. Most research has focused on individual rather than group or community Behavior. Few, if any, health Behavior Change theories have been tested on population-based interventions. OBJECTIVES: To explore urinary incontinence research guided by health Behavior Change theories. METHODS: Existing literature on health Behavior Change theories was analyzed to generate a plan for future research. RESULTS: Gaps in knowledge are identified and discussed and recommendations for future research are made. CONCLUSIONS: The development and testing of new theories will guide the next generation of incontinence researchers and ultimately lead to reducing the incidence and prevalence of incontinence.
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Use of health Behavior Change theories to guide urinary incontinence research
Nursing Research, 2004Co-Authors: Mary H. PalmerAbstract:BACKGROUND: Urinary incontinence in adults has been the focus of researchers for over 40 years. Health Behavior Change theories, predominantly operant conditioning, have guided much of the intervention research. In recent years cognitive theories have been used to guide Behavioral interventions for urinary incontinence. Most research has focused on individual rather than group or community Behavior. Few, if any, health Behavior Change theories have been tested on population-based interventions. OBJECTIVES: To explore urinary incontinence research guided by health Behavior Change theories. METHODS: Existing literature on health Behavior Change theories was analyzed to generate a plan for future research. RESULTS: Gaps in knowledge are identified and discussed and recommendations for future research are made. CONCLUSIONS: The development and testing of new theories will guide the next generation of incontinence researchers and ultimately lead to reducing the incidence and prevalence of incontinence.
Pedro J. Teixeira - One of the best experts on this subject based on the ideXlab platform.
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Health Behavior Change for Obesity Management.
Obesity Facts, 2017Co-Authors: Pedro J. Teixeira, Marta M. MarquesAbstract:Health Behavior Change is central in obesity management. Due to its complexity, there has been a growing body of research on: i) the factors that predict the adoption and maintenance of health behavio
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Health Behavior Change for Obesity Management.
Obesity facts, 2017Co-Authors: Pedro J. Teixeira, Marta M. MarquesAbstract:Health Behavior Change is central in obesity management. Due to its complexity, there has been a growing body of research on: i) the factors that predict the adoption and maintenance of health Behaviors, ii) the development and testing of theories that conceptualize relationships among these factors and with health Behaviors, and iii) how these factors can be implemented in effective Behavior Change interventions, considering characteristics of the content (techniques) and delivery. This short review provides an overview of advances in Behavior Change science theories and methods, focusing on obesity management, and includes a discussion of the main challenges imposed by this research field.
Emily B Falk - One of the best experts on this subject based on the ideXlab platform.
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grounding the neuroscience of Behavior Change in the sociocultural context
Current opinion in behavioral sciences, 2015Co-Authors: Steven H Tompson, Matthew D Lieberman, Emily B FalkAbstract:Recent work has identified ventral medial prefrontal cortex (vmPFC) as a key region predicting whether people will Change their Behavior in response to persuasive messages. Moreover, a parallel and complementary area of research has examined sociocultural factors that contribute to successful Behavior Change. In the current paper we aim to integrate these two distinct lines of research and discuss novel implications for the study of both Behavior Change and culture. We propose that personally and culturally tailored messages should lead to greater neural activation in vmPFC and this greater neural activation should lead to greater subsequent Behavior Change; we also consider broader neural systems that may integrate social norms and perspectives into judgments across culture.
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predicting persuasion induced Behavior Change from the brain
The Journal of Neuroscience, 2010Co-Authors: Emily B Falk, Elliot T Berkman, Traci Mann, Brittany Harrison, Matthew D LiebermanAbstract:Although persuasive messages often alter people's self-reported attitudes and intentions to perform Behaviors, these self-reports do not necessarily predict Behavior Change. We demonstrate that neural responses to persuasive messages can predict variability in Behavior Change in the subsequent week. Specifically, an a priori region of interest (ROI) in medial prefrontal cortex (MPFC) was reliably associated with Behavior Change (r = 0.49, p < 0.05). Additionally, an iterative cross-validation approach using activity in this MPFC ROI predicted an average 23% of the variance in Behavior Change beyond the variance predicted by self-reported attitudes and intentions. Thus, neural signals can predict Behavioral Changes that are not predicted from self-reported attitudes and intentions alone. Additionally, this is the first functional magnetic resonance imaging study to demonstrate that a neural signal can predict complex real world Behavior days in advance.
Patchareeya Pumpuang - One of the best experts on this subject based on the ideXlab platform.
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Identifying opinion leaders to promote Behavior Change
Health Education and Behavior, 2007Co-Authors: Thomas W. Valente, Patchareeya PumpuangAbstract:This article reviews 10 techniques used to identify opinion leaders to promote Behavior Change. Opinion leaders can act as gatekeepers for interventions, help Change social norms, and accelerate Behavior Change. Few studies document the manner in which opinion leaders are identified, recruited, and trained to promote health. The authors categorize close to 200 studies that have studied or used opinion leaders to promote Behavior Change into 10 different methods. They present the advantages and disadvantages of the 10 opinion leader identification methods and provide sample instruments for each. Factors that might influence programs to select one or another method are then discussed, and the article closes with a discussion of combining and comparing methods.
