The Michelangelo phenomenon: Longitudinal assessment of effects of partner affirmation on personal and relational well-being

2011 ◽  
Author(s):  
Madoka Kumashiro ◽  
Michael K. Coolsen
Author(s):  
Lion D. Comfort ◽  
Marian C. Neidert ◽  
Oliver Bozinov ◽  
Luca Regli ◽  
Martin N. Stienen

Abstract Background Complications after neurosurgical operations can have severe impact on patient well-being, which is poorly reflected by current grading systems. The objective of this work was to develop and conduct a feasibility study of a new smartphone application that allows for the longitudinal assessment of postoperative well-being and complications. Methods We developed a smartphone application “Post OP Tracker” according to requirements from clinical experience and tested it on simulated patients. Participants received regular notifications through the app, inquiring them about their well-being and complications that had to be answered according to their assigned scenarios. After a 12-week period, subjects answered a questionnaire about the app’s functionality, user-friendliness, and acceptability. Results A total of 13 participants (mean age 34.8, range 24–68 years, 4 (30.8%) female) volunteered in this feasibility study. Most of them had a professional background in either health care or software development. All participants downloaded, installed, and applied the app for an average of 12.9 weeks. On a scale of 1 (worst) to 4 (best), the app was rated on average 3.6 in overall satisfaction and 3.8 in acceptance. The design achieved a somewhat favorable score of 3.1. One participant (7.7%) reported major technical issues. The gathered patient data can be used to graphically display the simulated outcome and assess the impact of postoperative complications. Conclusions This study suggests the feasibility to longitudinally gather postoperative data on subjective well-being through a smartphone application. Among potential patients, our application indicated to be functional, user-friendly, and well accepted. Using this app-based approach, further studies will enable us to classify postoperative complications according to their impact on the patient’s well-being.


2020 ◽  
Vol 267 (11) ◽  
pp. 3223-3234 ◽  
Author(s):  
Ellen L. Carroll ◽  
Joanne G. Outtrim ◽  
Faye Forsyth ◽  
Anne E. Manktelow ◽  
Peter J. A. Hutchinson ◽  
...  

Abstract Background An improved understanding of the trajectory of recovery after mild traumatic brain injury is important to be able to understand individual patient outcomes, for longitudinal patient care and to aid the design of clinical trials. Objective To explore changes in health, well-being and cognition over the 2 years following mTBI using latent growth curve (LGC) modelling. Methods Sixty-one adults with mTBI presenting to a UK Major Trauma Centre completed comprehensive longitudinal assessment at up to five time points after injury: 2 weeks, 3 months, 6 months, 1 year and 2 years. Results Persisting problems were seen with neurological symptoms, cognitive issues and poor quality of life measures including 28% reporting incomplete recovery on the Glasgow Outcome Score Extended at 2 years. Harmful drinking, depression, psychological distress, disability, episodic memory and working memory did not improve significantly over the 2 years following injury. For other measures, including the Rivermead Post-Concussion Symptoms and Quality of Life after Brain Injury (QOLIBRI), LGC analysis revealed significant improvement over time with recovery tending to plateau at 3–6 months. Interpretation Significant impairment may persist as late as 2 years after mTBI despite some recovery over time. Longitudinal analyses which make use of all available data indicate that recovery from mTBI occurs over a longer timescale than is commonly believed. These findings point to the need for long-term management of mTBI targeting individuals with persisting impairment.


2020 ◽  
Vol 7 ◽  
pp. 2333794X2091757
Author(s):  
Alastair van Heerden ◽  
Jukka Leppanen ◽  
Mary Jane Rotheram-Borus ◽  
Carol M. Worthman ◽  
Brandon A. Kohrt ◽  
...  

Current approaches to longitudinal assessment of children’s developmental and psychological well-being, as mandated in the United Nations Sustainable Development Goals, are expensive and time consuming. Substantive understanding of global progress toward these goals will require a suite of new robust, cost-effective research tools designed to assess key developmental processes in diverse settings. While first steps have been taken toward this end through efforts such as the National Institutes of Health’s Toolbox, experience-near approaches including naturalistic observation have remained too costly and time consuming to scale to the population level. This perspective presents 4 emerging technologies with high potential for advancing the field of child health and development research, namely (1) affective computing, (2) ubiquitous computing, (3) eye tracking, and (4) machine learning. By drawing attention of scientists, policy makers, investors/funders, and the media to the applications and potential risks of these emerging opportunities, we hope to inspire a fresh wave of innovation and new solutions to the global challenges faced by children and their families.


2021 ◽  
pp. 1-10
Author(s):  
Franziska Thieken ◽  
Lars Timmermann ◽  
Keywan Sohrabi ◽  
Christiane Woopen ◽  
Björn Schmitz-Luhn ◽  
...  

Background: Parkinsonian syndromes are heterogeneous chronic neurodegenerative disorders associated with both motor and non-motor symptoms. The symptoms have major psychosocial effects on the quality of life of patients and can be a burden for caregivers. So far, several questionnaires have been developed to assess quality of life in Parkinsonism, but none of these include the positive sides on well-being such as personal and social resilience factors. Objective: The aim of this study is to develop a digital framework for a longitudinal assessment of quality of life during the progression of Parkinson’s disease. Methods: The CHAPO model (Challenges and Potentials) has been established in a vast study by Wagner et al. to assess the quality of life of older people. This model includes environmental and individual factors, life chances, and life results, such as individual life evaluation, from a subjective as well as an objective point of view. Therefore, it has been adapted in several development steps to include the specific aspects that affect quality of life in Parkinsonian syndromes. The development process included 6 steps: definition, refinement, operationalization, piloting/debriefing, adjustment, and integration. Results: The development of the CHAPO-PD model has been completed and it represents the first main result of this study. Conclusion: By taking a holistic understanding of quality of life into account, we expect to detect previously unrecognized factors, which correlate to the subjective well-being of Parkinson’s disease patients, and aim to use these findings to improve the health care structures for patients with Parkinson’s disease and related disorders.


2005 ◽  
Vol 6 (3) ◽  
pp. 375-391 ◽  
Author(s):  
Caryl E. Rusbult ◽  
Madoka Kumashiro ◽  
Shevaun L. Stocker ◽  
Jeffrey L. Kirchner ◽  
Eli J. Finkel ◽  
...  

This essay reviews theory and research regarding the “Michelangelo phenomenon,” which describes the manner in which close partners shape one another’s dispositions, values, and behavioral tendencies. Individuals are more likely to exhibit movement toward their ideal selves to the degree that their partners exhibit affirming perception and behavior; exhibiting confidence in the self’s capacity and enacting behaviors that elicit key features of the self’s ideal. In turn, movement towards the ideal self yields enhanced personal well-being and couple well-being. We review empirical evidence regarding this phenomenon and discuss self and partner variables that contribute to the process.


2018 ◽  
Vol 18 (4) ◽  
pp. 606-613 ◽  
Author(s):  
Carol A. Mancuso ◽  
Roland Duculan ◽  
Frank P. Cammisa ◽  
Andrew A. Sama ◽  
Alexander P. Hughes ◽  
...  

2020 ◽  
pp. 146144482093109
Author(s):  
Jakov Burić ◽  
Justin R Garcia ◽  
Aleksandar Štulhofer

Sexting, the digital transmission of sexual messages and images, has become a topic of increased interest and concern. Drawing largely on cross-sectional studies, the literature on associations between sexting and psychosocial outcomes remains inconsistent. The current longitudinal study investigated associations between adolescent girls’ sexting and two indicators of psychological well-being: symptoms of depression/anxiety and self-esteem. Responses were collected from a panel sample of 859 female Croatian secondary-school students over a 20-month period, across five classroom-based data collection points. Multi-domain latent growth curve modeling indicated that sexting dynamics were unrelated to changes in psychological well-being. Adverse family environment and, to a lesser extent, participants’ peer conformism were related to more frequent sexting and lower levels of psychological well-being. Our findings support the notion that in general adolescent girls’ sexting may be a (non-pathological) part of sexual development during middle to late adolescence in today’s digital age.


2002 ◽  
Vol 70 (1) ◽  
pp. 59-77 ◽  
Author(s):  
Stephen M. Drigotas

ILAR Journal ◽  
2018 ◽  
Vol 59 (2) ◽  
pp. 177-194 ◽  
Author(s):  
Lon V Kendall ◽  
James R Owiny ◽  
Erik D Dohm ◽  
Katie J Knapek ◽  
Erin S Lee ◽  
...  

Abstract Animal models are critical to the advancement of our knowledge of infectious disease pathogenesis, diagnostics, therapeutics, and prevention strategies. The use of animal models requires thoughtful consideration for their well-being, as infections can significantly impact the general health of an animal and impair their welfare. Application of the 3Rs—replacement, refinement, and reduction—to animal models using biohazardous agents can improve the scientific merit and animal welfare. Replacement of animal models can use in vitro techniques such as cell culture systems, mathematical models, and engineered tissues or invertebrate animal hosts such as amoeba, worms, fruit flies, and cockroaches. Refinements can use a variety of techniques to more closely monitor the course of disease. These include the use of biomarkers, body temperature, behavioral observations, and clinical scoring systems. Reduction is possible using advanced technologies such as in vivo telemetry and imaging, allowing longitudinal assessment of animals during the course of disease. While there is no single method to universally replace, refine, or reduce animal models, the alternatives and techniques discussed are broadly applicable and they should be considered when infectious disease animal models are developed.


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