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Relationships among internalizing and externalizing problems, attachment and alexithymia in high-risk and community adolescents: a multi-method comparative study.

2020· article· en· W3185462354 on OpenAlexaboutno aff
Stefania Muzi

Bibliographic record

VenueCINECA IRIS Institutial Research Information System (University of Genoa) · 2020
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaPsychologyDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

Late-adopted (i.e. adopted after 12months) and residential-care adolescents, due to higher rates of adverse childhood experiences, show high rates of internalizing-externalizing problems and they are at high-risk to show attachment insecurity and alexithymia, which are risk-factors that may increase psychopathological vulnerability during adolescence. However, no studies before compare in the same occasion these two high-risk groups of adolescents with community peers in internalizing-externalizing problems, attachment and alexithymia, which were never assessed simultaneously in these groups. This mixed-method comparative research involved 174 non-clinical adolescents aged 10-19 years (M = 15.55, SD = 2.02, 53% boys) matched for age and gender in 3 groups: two "high-risk groups" of 33 late-adoptees (LA, i.e. adopted after 12 months) and 50 in residential-care (RC), and 91 community teens as low-risk control group (C), with two main aims: 1) to compare groups in internalizing-externalizing problems, attachment and alexithymia with a mixed-method, multi-informant approach, in order to check the assumed vulnerability of high-risk adolescents in these variables. 2) to explore relationships between internalizing-externalizing problems, attachment and alexithymia through groups, exploring the cumulative and interactive effects of attachment and alexithymia as possible risk factors for more internalizing-externalizing problems during adolescence. After the approval of the University's Research Ethic Commitee, formal agreements with the Social and Health Services for adoption and residential-care and high-school for the recruitment of participants,and the signature by legal care-takers of an informed consent for the voluntarly participation of the adolescent in the research, each participant was assessed in two meetings in home visiting. Measures were: The Child Behavior Check List 6-18 years (CBCL, filled by a biological or adoptive parent and by the educator in the RC group) and the Youth Self Report 11-18 years (YSR) to assess internalizing-externalizing problems; the Friends and Family Interview (FFI) and the Inventory for Parent and Peer Attachment (IPPA) to assess attachment representations and relationships; the Toronto Alexithymia Scale 20 item (TAS-20) and the Toronto Structured Interview for Alexithymia (TSIA) to assess alexithymia; the verbal comprehension index of the Weschler Intelligence Scale for Children 4th edition (ICV-WISC-IV) to control the confounding effect of participant's verbal skills in the interview, plus a socio-demographic data form to collect demographic and anamnestic data (e.g. age and lenght of adoption or institituionalization, reasons). Main results were: 1) Residential-care adolescents were confirmed the group more vulnerable to internalizing-externalizing problems, attachment insecurity and higher alexithymia, while late-adopted and community adolescents did not show differences each other. 2) Attachment insecurity and higher alexithymia were related to total and internalizing problems in all groups, while no relations with externalizing problems were found. 3) Alexithymia was a common risk-factors for more total and internalizing problems through groups, while attachment patterns had different group-specific roles. Overall, models of prediction inclusive of attachment and alexithymia allowed the prediction of 4%-39% of total problems and 20%-66% of internalizing problems through groups, with higher vulnerability for girls and a certain variability related to the problem's informant (care-giver or adolescent). In the discussion, shared and specific vulnerabilities of each group from a clinical point of view were discussed, commenting on the practical implications and suggesting ways of using these risk prediction models in clinical practice. In the conclusion, the utility of a mixed-method multi-informant approach was highlighted.

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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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.204
GPT teacher head0.398
Teacher spread0.194 · 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.

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

Citations1
Published2020
Admission routes1
Has abstractyes

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