Health mindsets refer to beliefs about the malleability (growth mindset) versus stability (fixed mindset) of physical health and have gained traction as a predictor of health beliefs and behaviors. Across two studies, we tested whether health mindsets were associated with avoiding personalized health risk information. In Study 2, we also tested whether conceptually-related constructs of internal and chance health locus of control, health self-efficacy, fatalism, and genetic determinism were associated with information avoidance. Health mindsets were manipulated in Study 1 (college students, n = 284; 79.58% female; M= 19.74) and measured in Study 2 (participants recruited through MTurk, n = 735; 42.04% female; M= 35.78). In both studies, participants viewed a prediabetes infographic and were informed they could learn their prediabetes risk by completing an online risk calculator. Behavioral obligation was also manipulated in both studies to test whether an additional behavioral requirement associated with learning one's risk would exacerbate any negative impact of health mindsets on avoidance rates. All participants then indicated their interest in learning their prediabetes risk (avoidance intentions) and decided whether to complete the online risk calculator (avoidance behavior). In Study 1, there was no impact of health mindsets, behavioral obligation, or their interaction on avoidance intentions or behavior. Study 2 similarly did not provide consistent evidence for an association of health mindsets, behavioral obligation, or their interaction with avoidance intentions or behavior. However, in Study 2, internal health locus of control was consistently associated with both intentions and behavior. Health information avoidance may be a barrier to prevention and early detection of disease. To encourage individuals to learn potentially important health information, public health interventions might seek to increase people's beliefs that their own actions play a role in their health outcomes. Interventions may also seek to increase people's knowledge about and skills regarding improving their health outcomes, which may influence health locus of control beliefs.
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http://dx.doi.org/10.1007/s10865-024-00514-1 | DOI Listing |
Aging Ment Health
January 2025
Human Flourishing Program, Harvard Institute for Quantitative Social Science, Cambridge, MA, USA.
Objectives: This study examined whether changes in optimism in older adulthood are associated with subsequent health and wellbeing outcomes.
Method: Longitudinal data are from the Health and Retirement Study, a nationally representative sample of U.S.
BMC Med Educ
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School of Medicine, University of Debrecen, Debrecen, Hungary.
Background: As the healthcare field is undergoing a paradigm shift, the role of interprofessional education (IPE) is being widely accepted and recognized. Despite this, IPE interventions are not employed globally and the use of such interventions is variable. Additionally, there is an ongoing debate over how and when to employ IPE interventions.
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December 2024
Key Laboratory of Xinjiang Endemic and Ethnic Diseases of the Ministry of Education, Department of Public Health, Shihezi University School of Medicine, Xinjiang, China.
Background: Adolescents who suffer from school bullying are often accompanied by problems such as sleep disorders and depression. However, it remains unclear how depressive symptoms and sleep assessments such as sleep duration interact in the specific mechanisms of exposure to school bullying.
Objective: To understand the role of sleep duration, depressive symptoms on school bullying in adolescents and the mediating role of sleep duration in this context.
Pain Rep
February 2025
Responsible Data Science, Office of the Provost, University of Pittsburgh, Pittsburgh, PA, USA.
Introduction: Interpretation and utilization of qualitative feedback from participants has immense value for program evaluation. Reliance on only quantitative data runs the risk of losing the lived patient experience, forcing their outcomes to fit into our predefined objectives.
Objectives: Using large language models (LLMs), program directors may begin to employ rich, qualitative feedback expediently.
J Allergy Clin Immunol Pract
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Swiss Institute of Allergy and Asthma Research (SIAF), University Zurich, Davos, Switzerland.
Human activities, primarily the burning of fossil fuels, widespread deforestation, soil erosion or machine-intensive farming methods, manufacturing, food processing, mining, and construction iron, cement, steel, and chemicals industry, have been the main drivers of the observed increase in Earth's average surface temperature and climate change. Rising global temperatures, extreme weather events, ecosystems disruption, agricultural impacts, water scarcity, problems in access to good quality water, food and housing, and profound environmental disruptions such as biodiversity loss and extreme pollution are expected to steeply increase the prevalence and severity of acute and chronic diseases. Its long-term effects cannot be adequately predicted or mitigated without a comprehensive understanding of the adaptive ecosystems.
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