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Trust and health: testing the reverse causality hypothesis
Giuseppe Nicola Giordano1, Martin Lindström1
1Department of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden Centre for Economic Demography (CED), Lund University, Malmö, Sweden.
This study reveals that an individual's health status can predict their level of trust. Poor health is linked to lower trust, while good health is associated with higher trust, suggesting a bidirectional relationship.
Area of Science:
- Social Sciences
- Health Sciences
- Psychology
Background:
- Decades of research link generalized trust to better health outcomes.
- Longitudinal studies suggest trust independently predicts health.
- The reverse causality hypothesis (health predicting trust) remains under-explored.
Purpose of the Study:
- To empirically investigate whether an individual's health status predicts their level of trust.
- To address the knowledge gap regarding the directionality of the trust-health relationship.
Main Methods:
- Utilized 4 waves of the British Household Panel Survey (2000-2007, N=8114).
- Employed logistic regression models with random effects, stratified by baseline trust.
- Analyzed temporal relationships between self-rated health (SRH) and changes in trust.
Main Results:
- Poor self-rated health at time (t-1) predicted lower trust at time (t) (OR=1.38).
- Good self-rated health predicted higher trust (OR=1.30).
- Associations remained significant after robustness checks for outcome misclassification and alternative pathways.
Conclusions:
- Provides empirical support for a circular relationship between health and trust.
- The temporal stability of the health-trust association varied between cohorts.
- Suggests complex, rather than simple feedback, pathways in the health-trust dynamic.
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