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Related Concept Videos

Sources of Self-Esteem III: Social Comparison01:27

Sources of Self-Esteem III: Social Comparison

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Social comparison plays a fundamental role in the evaluation of personal success and self-worth. Rather than assessing our achievements in isolation, we interpret their significance relative to personal goals and critically in comparison to the performance of others. A grade of B in a mathematics exam might elicit pride if one's expectation was a C, yet result in disappointment if an A was anticipated or if peers achieved superior results. These comparative evaluations illustrate how both...
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Benefits of Self-Esteem01:25

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Self-esteem—an individual's overall evaluation of their worth—plays a complex role in psychological functioning and well-being. It is often associated with many positive traits, such as confidence, optimism, and perseverance. Individuals with high self-esteem typically experience better sleep, manage peer pressure more effectively, and report greater life satisfaction. Conversely, low self-esteem has been consistently linked with increased risks of depression, anxiety, and poor...
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Self-esteem, a core aspect of psychological well-being, reflects an individual's positive and negative self-evaluation in terms of worth, competence, and overall value. It is both a stable trait and a dynamic process, influenced by experiences and social interactions across the lifespan. While global self-esteem offers a general assessment, research highlights that self-esteem is multidimensional and varies across specific life domains.Domain-Specific Self-EsteemResearchers have delineated...
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Self-Evaluation Maintenance Model01:29

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The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
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Self-esteem, a central component of psychological well-being, is actively maintained through various cognitive and behavioral strategies. Individuals employ specific mechanisms to preserve a positive self-concept and mitigate threats to their self-worth, particularly in contexts involving social evaluation or personal feedback. Four primary techniques are commonly used to sustain self-esteem.Manipulating AppraisalsOne prominent strategy involves manipulating appraisals from others. Individuals...
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Generalizing effects of frontostriatal structural connectivity on self-esteem using predictive modeling.

Robert S Chavez1, Dale T Tovar1, Moriah S Stendel1

  • 1Department of Psychology, University of Oregon, Eugene, OR, USA.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
|November 28, 2021
PubMed
Summary
This summary is machine-generated.

Biological markers for self-esteem were identified using brain imaging. These findings show that frontostriatal brain connectivity reliably predicts self-esteem across diverse individuals.

Keywords:
Frontostriatal connectivityPredictive modelingSelf-esteemSocial neuroscience

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Psychological Science

Background:

  • Self-esteem, a key psychological construct, impacts mental health and life satisfaction.
  • Identifying generalizable biological mechanisms underlying self-esteem is crucial.
  • Previous studies linked frontostriatal integrity to self-esteem but lacked generalizability.

Purpose of the Study:

  • To validate and generalize previous findings on the biological basis of self-esteem.
  • To identify robust biomarkers for individual differences in self-esteem.
  • To test the generalizability of frontostriatal connectivity as a predictor of self-esteem.

Main Methods:

  • Utilized diffusion magnetic resonance imaging (dMRI) to assess brain structural connectivity.
  • Employed an out-of-sample predictive modeling approach.
  • Trained linear univariate and multivariate machine learning models on an initial dataset and tested on an independent, larger dataset.

Main Results:

  • Frontostriatal brain connectivity significantly predicted self-esteem in an independent sample.
  • Machine learning models demonstrated robust predictive power for self-esteem.
  • The relationship between frontostriatal integrity and self-esteem was confirmed across different demographics and scanning parameters.

Conclusions:

  • Frontostriatal connectivity is a reliable biological marker for self-esteem.
  • The findings generalize across diverse participant groups and methodological variations.
  • This research strengthens the understanding of the neural underpinnings of self-esteem.