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Alcohol-dependent patients' social support and its relation with alexithymia

2011· article· en· W3030628294 on OpenAlexaboutno aff
李惠玉, 伍庆, 刘佳, 祁静

Bibliographic record

VenueZhonghua xiandai huli zazhi · 2011
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaSocial supportToronto Alexithymia ScalePsychologyClinical psychologyAlcohol dependenceAlcoholMedicineSocial psychology

Abstract

fetched live from OpenAlex

Objective To investigate the current social support of alcohol-dependent patients and its relation with alexithymia so as to provide the basis for nursing intervention.Methods 56 male patients with alcohol dependence were investigated with Social Support Scale and Toronto Alexithymia Scale (TAS-20) to analyze the relation between social support and alexithymia. A control group (normal people) was made to compare the difference between them.Results Alcohol-dependent patients' subjective and objective support score[(10.61±4.376),(22.11±4.030)], support utilization rate(6.93±2.319) and total scores (39.68±8.714)were lower than those of the control group (t=-5.730,-2.379,-3.488,-5.181;P<0.05). Patients' age and alexithymia factor Ⅰ, Ⅱ is negatively correlated with subjective support (r=-0.269,P<0.05). Drinking history (r=-0.349,-0.371,-0.348;P<0.01),factor Ⅰ,factor Ⅱ (r=-0.301,-0.285;P<0.05) and factor Ⅲ (r=-0.357,-0.272;P<0.05).is negatively correlated with subjective support, objective support and support utilization rate.Conclusions Social support and alexithymia apparently interact with each other, nurses shall guide patients to correctly identify and feel their experience, effectively disclose their inner expectations and make their social support system consummate. Key words: Social support;  Nursing;  Alcohol dependence;  Alexithymia

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 score0.082
Threshold uncertainty score0.722

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)0.0010.000

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 head0.027
GPT teacher head0.256
Teacher spread0.228 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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