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Record W1983582583 · doi:10.1111/bjhp.12058

Intolerance of uncertainty, appraisals, coping, and anxiety: The case of the 2009 <scp>H</scp> 1 <scp>N</scp> 1 pandemic

2013· article· en· W1983582583 on OpenAlexaff
Sheena Taha, Kimberly Matheson, Tracey Cronin, Hymie Anisman

Bibliographic record

VenueBritish Journal of Health Psychology · 2013
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsCarleton University
Fundersnot available
KeywordsCoping (psychology)AnxietyPsychologyPandemicDistressPanicPublic healthAppraisal theoryClinical psychologyCognitive appraisalDiseaseCoronavirus disease 2019 (COVID-19)Social psychologyPsychiatryMedicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

OBJECTIVES: Although ambiguous and uncertain situations, such as those dealing with the threat of widespread viral illness, may have pronounced psychological ramifications, there have been few studies that examined the factors that contributed to such outcomes. The purpose of the present investigation was to examine emotional reactions to a health threat. DESIGN: A structural equation model examined the interplay between anxiety and intolerance of uncertainty, as sequentially mediated by appraisals and coping strategies. METHODS: Adult participants over the age of 18 (N = 1,027) completed online self-report measures during the H1N1 pandemic in 2009. RESULTS: Greater intolerance of uncertainty was related to lower appraisals of self- and other control, which predicted low levels of problem-focused coping and greater reports of H1N1-related anxiety. Additionally, individuals with a high intolerance of uncertainty were more likely to perceive the pandemic as threatening and also were more apt to use emotion-focused coping strategies, and both of these factors predicted elevated levels of anxiety. CONCLUSIONS: Together, these data indicate that threats, such as those related to a potential pandemic, not only have implications for physical health, but also for psychological distress, and that such outcomes vary with a constellation of appraisal and coping factors. STATEMENT OF CONTRIBUTION: What is already known on this subject? It has been established that the public is often confused by the threat that a potential pandemic virus poses and that they are unsure of what information related to the disease they can trust. Government health agencies often walk the line of minimizing the threat to prevent panic, but simultaneously emphasize the importance of action (vaccination) to prevent a worldwide pandemic. What does this study add? Beyond the physical threat of a pandemic, a significant psychological toll may occur for certain individuals. Anxiety regarding H1N1 is heightened amongst those who cannot tolerate uncertainty. Appraisals of threat, control, and the use of emotion-focused coping mediate the above relationship.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.403
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations331
Published2013
Admission routes1
Has abstractyes

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