I Hope, I Desire, but Can I Achieve My Goal: A Self-Regulation Model of Weight Control

2016 ◽  
pp. 279-280
Author(s):  
Jiayun Wu ◽  
Huimin Xu ◽  
Joseph W. Chang
Keyword(s):  
Weight Control ◽  
Self Regulation ◽  
Regulation Model

Explaining adherence to self-care behaviours amongst adolescents with food allergy: A comparison of the health belief model and the common sense self-regulation model

2013 ◽  
Vol 19 (1) ◽  
pp. 65-82 ◽  
Author(s):  
Christina J. Jones ◽  
Helen E. Smith ◽  
Anthony J. Frew ◽  
George Du Toit ◽  
Somnath Mukhopadhyay ◽  
...  
Keyword(s):  
Food Allergy ◽  
Health Belief Model ◽  
Common Sense ◽  
Self Regulation ◽  
Self Care ◽  
Health Belief ◽  
The Common ◽  
Belief Model ◽  
Regulation Model ◽  
The Health Belief Model

Romantic Passion as Output from a Self-Regulating, Intimacy-Seeking System: A Model for Understanding Passionate Love

2005 ◽  
Vol 96 (3) ◽  
pp. 655-675 ◽  
Author(s):  
Adam B. Troy
Keyword(s):  
Intimate Relationships ◽  
Present Model ◽  
Self Regulation ◽  
Personality Theory ◽  
Basic Emotion ◽  
Passionate Love ◽  
System A ◽  
Romantic Passion ◽  
Regulation Model ◽  
And Function

This article presents a model of why individuals experience the feeling of passionate love in intimate relationships. Previous models have been limited because they do not describe the purpose and function of passionate love, do not incorporate basic emotion and personality theory, or are not applicable to help couples in distress. The present model reinterprets and integrates previous findings. New predictions are made about the functioning of passionate love in relationships by hypothesizing a self-regulating, intimacy-seeking system that produces passionate love as its outcome. A self-regulation model proposed by Carver and Scheier in 1998 is the template on which this model is based.

Self-Regulation Model

2020 ◽  
pp. 1997-2002
Author(s):  
Pablo A. Mora ◽  
Gozde Ozakinci
Keyword(s):  
Self Regulation ◽  
Regulation Model

scholarly journals Illness Perceptions of COVID-19 in Europe: Predictors, Impacts and Temporal Evolution

2021 ◽  
Vol 12 ◽  
Author(s):  
David Dias Neto ◽  
Ana Nunes da Silva ◽  
Magda Sofia Roberto ◽  
Jelena Lubenko ◽  
Marios Constantinou ◽  
...  
Keyword(s):  
Perceived Stress ◽  
Illness Perceptions ◽  
Early Stage ◽  
Self Regulation ◽  
Illness Perception ◽  
Preventive Behaviors ◽  
Illness Perception Questionnaire ◽  
National Differences ◽  
Comprehensive Picture ◽  
Regulation Model

Objective: Illness perceptions (IP) are important predictors of emotional and behavioral responses in many diseases. The current study aims to investigate the COVID-19-related IP throughout Europe. The specific goals are to understand the temporal development, identify predictors (within demographics and contact with COVID-19) and examine the impacts of IP on perceived stress and preventive behaviors.Methods: This was a time-series-cross-section study of 7,032 participants from 16 European countries using multilevel modeling from April to June 2020. IP were measured with the Brief Illness Perception Questionnaire. Temporal patterns were observed considering the date of participation and the date recoded to account the epidemiological evolution of each country. The outcomes considered were perceived stress and COVID-19 preventive behaviors.Results: There were significant trends, over time, for several IP, suggesting a small decrease in negativity in the perception of COVID-19 in the community. Age, gender, and education level related to some, but not all, IP. Considering the self-regulation model, perceptions consistently predicted general stress and were less consistently related to preventive behaviors. Country showed no effect in the predictive model, suggesting that national differences may have little relevance for IP, in this context.Conclusion: The present study provides a comprehensive picture of COVID-19 IP in Europe in an early stage of the pandemic. The results shed light on the process of IP formation with implications for health-related outcomes and their evolution.

Research in Genetic Counseling

2019 ◽  
pp. 171-186
Author(s):  
Barbara B. Biesecker ◽  
Kathryn F. Peters ◽  
Robert Resta
Keyword(s):  
Genetic Counseling ◽  
Self Regulation ◽  
Well Being ◽  
Genetic Counselors ◽  
National Society ◽  
Patient Reported ◽  
Key Variables ◽  
Regulation Model

The field of genetic counseling has historically valued the role of research. More recently, graduate programs have raised the standards for student thesis projects so that a greater percent are of publishable quality. The profession has acknowledged key research gaps, such as a lack of consensus on the primary client outcomes of counseling. Further, the National Society of Genetic Counselors has endorsed the importance of evidence that may be used to guide practice. Herein we present the role of genetic counselors as researchers and discuss approaches to designing research studies to answer key service delivery questions and patient-reported outcomes. To frame research in genetic counseling, health behavior and social psychology theories offer models for identifying key variables likely to predict client decisions and their outcomes. To date, studies in genetic counseling have been framed by the self-regulation model and the theory of planned behavior. A systematic review of randomized controlled trials in genetic counseling identified psychological well-being and gain in knowledge as the most prevalent patient outcomes. Evidence can be used to predict decisions to undergo genetic testing or follow up on results.

scholarly journals Exploring the experiences and perspectives of substitute decision-makers involved in decisions about deceased organ donation: a qualitative study protocol

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e034594 ◽  
Author(s):  
Jacob Crawshaw ◽  
Justin Presseau ◽  
Zack van Allen ◽  
Livia Pinheiro Carvalho ◽  
Kim Jordison ◽  
...  
Keyword(s):  
Decision Making ◽  
Organ Donation ◽  
Self Regulation ◽  
Theoretical Domains Framework ◽  
Decision Makers ◽  
Sampling Frame ◽  
Theoretical Frameworks ◽  
Deceased Organ Donation ◽  
Substitute Decision Makers ◽  
Regulation Model

IntroductionIn Canada, deceased organ donation provides over 80% of transplanted organs. At the time of death, families, friends or others assume responsibility as substitute decision-makers (SDMs) to consent to organ donation. Despite their central role in this process, little is known about what barriers, enablers and beliefs influence decision-making among SDMs. This study aims to explore the experiences and perspectives of SDMs involved in making decisions around the withdrawal of life-sustaining therapies, end-of-life care and deceased organ donation.Methods and analysisSDMs of 60 patients admitted to intensive care units will be enrolled for this study. Ten hospitals across five provinces in Canada in a prospective multicentre qualitative cohort study. We will conduct semistructured telephone interviews in English or French with SDMs between 6 and 8 weeks after the patient’s death. Our sampling frame will stratify SDMs into three groups: SDMs who were not approached for organ donation; SDMs who were approached and consented to donate and SDMs who were approached but did not consent to donate. We will use two complementary theoretical frameworks—the Common-Sense Self-Regulation Model and the Theoretical Domains Framework— to inform our interview guide. Interview data will be analysed using deductive directed content analysis and inductive thematic analysis.Ethics and disseminationThis study has been approved by the Centre Hospitalier de l’Université de Montréal Research Ethics Board. The findings from this study will help identify key factors affecting substitute decision-making in deceased organ donation, reasons for non-consent and barriers to achieve congruency between SDM and patient wishes. Ultimately, these data will contribute to the development and evaluation of tools and training for healthcare providers to support SDMs in making decisions about organ donation.Trial registration numberNCT03850847.

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