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The Relationship of Racism, Chronic Stress Emotions, and Blood Pressure

2006· article· en· W2020388206 on OpenAlexaboutno aff
Rosalind M. Peters

Bibliographic record

VenueJournal of Nursing Scholarship · 2006
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyAlexithymiaRacismStructural equation modelingStressorCoping (psychology)Clinical psychologyPersonalityDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: To test a middle-range theory of chronic stress emotions to examine the effects of perceived racism and emotion-focused coping on psychological and physiological health outcomes in African Americans. DESIGN: A descriptive-correlational, causal modeling study was conducted with a convenience sample of 162 community-dwelling adults. METHODS: Participants completed the Racism and Life Experience Scale; Krieger Racial Discrimination Questionnaire; Toronto Alexithymia Scale; Emotional Approach Coping Scale; State-Trait Personality Inventory; and a demographic data sheet. Automated blood pressure (BP) readings were obtained. ANALYSIS: Structural equation modeling techniques were used to examine the hypothesized causal and correlational links between the theoretical constructs, as well as to examine the relationship between the observed variables and the latent constructs measured. FINDING AND CONCLUSIONS: The proposed model fits the sample data. Racism was a commonly experienced stressor associated with chronic stress emotions, but not with BP. Emotion-focused coping was strongly associated with socioeconomic status and chronic stress emotions but not with BP.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.320
Teacher spread0.291 · 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 designObservational
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

Citations62
Published2006
Admission routes1
Has abstractyes

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