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Record W7026596618

A Alexitimia e a Desregulação Emocional como Correlatos da Agressividade na Idade Avançada: estudo numa amostra de idosos

2020· dissertation· pt· W7026596618 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2020
Typedissertation
Languagept
FieldEngineering
TopicGeophysics and Sensor Technology
Canadian institutionsnot available
Fundersnot available
KeywordsElderly peopleAggressionStructural equation modelingCorrelation
DOInot available

Abstract

fetched live from OpenAlex

Objetivos: explorar os níveis de agressividade autopercecionados numa população idosa institucionalizada, comparando-os com um grupo de idosos da comunidade; estudar os correlatos sociodemográficos e clínicos da agressividade e as correlações entre a agressividade e a desregulação emocional e a alexitimia. Método: A amostra foi constituída por 326 idosos, sendo 209 da comunidade e com 117 Institucionalizados, com uma média de idades de 75,12 anos (DP = 8,79). Todos os participantes foram avaliados com uma bateria de testes que incluía o Aggression Questionnaire, a Toronto Alexythimia Scale – 20 itens e a Difficulties in Emotion Regulation Scale. Resultados: Não foram encontradas diferenças a nível de agressividade entre idosos institucionalizados e da comunidade, foram sim encontrados maiores níveis de alexitimia no grupo de idosos institucionalizados, assim como níveis mais elevados de desregulação emocional. O nível da agressividade autopercecionada em idosos institucionalizados, correlacionou-se com a alexitimia e a desregulação emocional. Conclusão: A alexitimia e a desregulação emocional correlacionam-se com a agressividade autopecercionada na idade avançada. A alexitimia e a desregulação emocional correlacionam-se com a agressividade auto-percebida em pessoas idosas institucionalizadas. Esta descoberta é importante para orientar as escolhas terapêuticas nestes contextos. / Objectives: To explore the levels of self-perceived aggressiveness in institutionalized elderly, comparing them to a group of elderly people in the community; to study the socio- demographic and clinical correlates of aggressiveness and the correlations between aggressiveness and emotional dysregulation and alexithymia. Method: The sample consisted of 326 elderly, 209 from the community and 117 institutionalized, with an average age of 75.12 years (SD = 8.79). All participants were assessed with a battery of tests, which included the Aggression Questionnaire, the Toronto Alexithymia Scale - 20 items, and the Difficulties in Emotion Regulation Scale. Results: No differences were found in aggressiveness between institutionalized and community elderly, but higher levels of alexitimia were found in the institutionalized elderly group, as well as higher levels of emotional dysregulation. The level of self- perceived aggressiveness in institutionalized elderly correlated with alexitimia and emotional dysregulation. Conclusion: Alexithymia and emotional dysregulation correlate with self-perceived aggressiveness in older institutionalized people. This finding is important to guide therapy choices in these settings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.050
GPT teacher head0.347
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes1
Has abstractyes

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