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Record W2602849081 · doi:10.3138/jcfs.42.6.891

Family Adaptability, Cohesion and Anxiety During Pediatric Hospitalization: Differences between Populations of Immigrant and Non-immigrant Origin

2011· article· en· W2602849081 on OpenAlexvenueno aff
Antonio Fernández‐Castillo, Maria J. Vílchez‐Lara

Bibliographic record

VenueJournal of Comparative Family Studies · 2011
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyImmigrationPsychologyClinical psychologyAdaptabilityCohesion (chemistry)MedicineDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Different investigations have proved the existence of anxiety and emotional alteration in parents during the hospitalization of a child. The objective of this study was to investigate the potential association between some aspects of family functioning and emotional alterations. It’s centred concretely in parents’ anxiety during the hospitalization of a child, looking for differences between parents of immigrant and non-immigrant origin. Methods. One hundred and ninety one parents, aged 23 to 53, participated in the study. All of them had a child hospitalized in pediatric units in hospitals of Andalucía, Spain. Anxiety was measured with the Spanish version of the Spielberger State-Trait Anxiety Inventory (STAI), and family functioning with the brief Spanish version of the Family Adaptability and Cohesion Evaluation Scale (FACES). Results. A better family functioning is significantly associated with lower levels of anxiety in parents during pediatric hospitalization. Immigrant origin parents were found to have considerably higher anxiety, higher family cohesion and also higher adaptability scores. Multiple regression analyses revealed that family cohesion and origin (immigrant/non-immigrant) explain significant variance in the anxiety scores of parents’ of hospitalized children.

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 score0.018
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.131
GPT teacher head0.332
Teacher spread0.201 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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