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Dimensions of Health and Illness01:21

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Models of Health Promotion and Illness Prevention II01:18

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The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
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When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
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Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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Trust Is for the Strong: How Health Status May Influence Generalized and Personalized Trust.

Quan-Hoang Vuong1, Phuong-Loan Nguyen2, Ruining Jin3

  • 1Centre for Interdisciplinary Social Research, Phenikaa University, Hanoi 100803, Vietnam.

Healthcare (Basel, Switzerland)
|September 9, 2023
PubMed
Summary

Good health may increase trust in others, but recent illness can decrease it. People may rely more on close relationships when health declines, exploring the health-trust connection from a new perspective.

Keywords:
Bayesian Mindsponge Frameworkgeneralized trusthealth conditioninformation processingpersonalized trust

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Area of Science:

  • Social Psychology
  • Health Psychology
  • Behavioral Economics

Background:

  • The relationship between trust and health is often studied with health as an outcome of trust.
  • The reverse influence, how health impacts trust, remains underexplored.
  • Understanding this bidirectional relationship is crucial for public health and social policy.

Purpose of the Study:

  • To investigate the effect of an individual's health status on their levels of generalized and personalized trust.
  • To explore the underlying information processing mechanisms influencing trust expression based on health.

Main Methods:

  • Utilized the Bayesian Mindsponge Framework (BMF) for advanced analytics.
  • Conducted a Bayesian analysis on a dataset of 1237 residents from Cali, Colombia.
  • Examined the association between general health, recent illnesses/injuries, and trust levels.

Main Results:

  • General health positively correlates with generalized trust; recent illness negatively moderates this.
  • Personalized trust remains stable with general health but increases after recent illness/injury.
  • Psychophysiological filtering of unfamiliar information during illness may explain generalized trust patterns.

Conclusions:

  • Health status significantly influences trust, particularly generalized trust.
  • Individuals may increase reliance on established personal relationships during periods of poor health.
  • This study offers a novel perspective on the trust-health relationship, highlighting health's impact on social trust.