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Record W2327060944 · doi:10.1038/ajh.2010.9

Differences in Emotion Processing in Patients With Essential and Secondary Hypertension

2010· article· en· W2327060944 on OpenAlexaboutno aff
Silla M. Consoli, Cédric Lemogne, B. Roch, S. Laurent, P.-F. Plouin, Richard D. Lane

Bibliographic record

VenueAmerican Journal of Hypertension · 2010
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaEssential hypertensionMedicineConfoundingBlood pressureToronto Alexithymia ScaleCognitionClinical psychologyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: An impaired ability to experience and express emotions, known as alexithymia, has previously been associated with hypertension. Alexithymia and related emotion-processing variables, however, have never been examined as a function of the type of hypertension, essential (EH) or secondary (SH). METHODS: Our working hypothesis was that if dysregulated emotional processes play a key neurobiological role in EH, they would be less present in hypertension due to specific medical causes or SH. A total of 98 consecutive hypertensive patients (73 EH, 25 SH) with similar blood pressure levels completed two complementary measures of emotion processing: the 20-item Toronto Alexithymia Scale (TAS-20) and the Levels of Emotional Awareness Scale (LEAS). RESULTS: After controlling for confounding variables, LEAS score was lower in EH than SH (estimated means: 46.4 vs. 52.0; P = 0.028; effect size 0.52). TAS-20 scores did not differentiate EH from SH, but the differences were in the expected direction, with an effect size of 0.34 for TAS-20 total score. Neither psychometric measure was associated with the duration of hypertension or the presence of cardiovascular (CV) complications. CONCLUSIONS: These results are consistent with a contribution of an emotional or psychosomatic component in EH and may have practical implications for the nonpharmacological management of hypertension. They also demonstrate the utility of complementary measures of emotion processing in medically ill patients.

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 score0.119
Threshold uncertainty score0.269

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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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

Citations55
Published2010
Admission routes1
Has abstractyes

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