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Record W3180554117 · doi:10.1037/dev0001039

Parasympathetic activity, emotion socialization, and internalizing and externalizing problems in children: Longitudinal associations between and within families.

2021· article· en· W3180554117 on OpenAlexfundno aff
Elisa Ugarte, Siwei Liu, Paul D. Hastings

Bibliographic record

VenueDevelopmental Psychology · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersComisión Nacional de Investigación Científica y TecnológicaFonds de Recherche du Québec - SantéSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsSocioemotional selectivity theoryPsychologyDevelopmental psychologyVagal toneSocializationSocioeconomic statusBiopsychosocial modelExternalizationStructural equation modelingCryingClinical psychologyPsychiatryDemographyMedicineHeart rate variabilitySocial psychologyPopulation

Abstract

fetched live from OpenAlex

Biopsychosocial models of children's socioemotional development highlight the joint influences of physiological regulation and parenting practices. Both high and low levels of children's baseline respiratory sinus arrhythmia (RSA) have been associated with children's maladjustment, indicative of nonlinear associations. Negative or unsupportive parental responses to children's emotions are consistently linked with internalizing (IP) and externalizing problems (EP), although few studies have examined how associations vary within families. This study examined within- and between-person associations of children's quadratic baseline RSA, negative maternal emotion socialization, and children's problems over 7 years. RSA was measured in 133 3.5-year-old children (72 female) in predominantly middle- to upper-middle socioeconomic status, Caucasian families. Mothers reported on their emotion socialization practices and their children's adjustment concurrently and 1, 5, and 7 years later. Multilevel structural equation models revealed quadratic associations between baseline RSA and both IP and EP at the between-person level, suggesting that children with moderate RSA had fewer adjustment problems, on average, than children with lower or higher RSA. Across time and between families, children displayed more problems if their mothers reported more negative responses to their children's emotions. Within families, IP were elevated on years when mothers reported higher than usual negative responses, and children with either high or low baseline RSA had more problems on years when mothers reported greater than usual negative responses to their children's emotions. Altogether, these findings suggest that high and low baseline RSA may increase the risk for maladjustment, particularly in the time-varying context of aversive emotion socialization practices. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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 score0.024
Threshold uncertainty score0.992

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 head0.039
GPT teacher head0.317
Teacher spread0.278 · 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

Citations26
Published2021
Admission routes1
Has abstractyes

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