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Record W2969599185 · doi:10.1111/jne.12784

Dissecting maternal care: Patterns of maternal parenting in a prospective cohort study

2019· article· en· W2969599185 on OpenAlexafffund
Eva Unternäehrer, Katherine Tombeau Cost, Andrée–Anne Bouvette–Turcot, Hélène Gaudreau, Rachel Massicotte, Sabine K. Dhir, Shantala A. Hari Dass, Kieran J. O’Donnell, Cathryn Gordon‐Green, Leslie Atkinson, Robert D. Levitan, Ashley Wazana, Meir Steiner, John E. Lydon, Roseanne Clark, Alison S. Fleming, Michael J. Meaney

Bibliographic record

VenueJournal of Neuroendocrinology · 2019
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMcMaster UniversityCentre for Addiction and Mental HealthUniversity of TorontoToronto Metropolitan UniversityJewish General HospitalMcGill University Health CentreHospital for Sick ChildrenMcGill UniversityDouglas Mental Health University Institute
FundersCanadian Institutes of Health ResearchSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsPsychologyDevelopmental psychologyMaternal sensitivityOffspringMoodClinical psychologyCohortPregnancyMedicine

Abstract

fetched live from OpenAlex

Parental care has a strong impact on neurodevelopment and mental health in the offspring. Although numerous animal studies have revealed that the parental brain is a highly complex system involving many brain structures and neuroendocrine systems, human maternal parenting as a multidimensional construct with cognitive, emotional, and behavioural components has not been characterised comprehensively. This unique multi-method analysis aimed to examine patterns of self-reported and observed parenting from 6 to 60 months postpartum in a cohort of 496 mothers (mean maternal age = 32 years). Self-report questionnaires assessed motivational components of mothering, parenting stress, parenting-related mood, maternal investment, maternal parenting style, mother-child relationship satisfaction, and mother-child bonding at multiple time points. Observed parenting variables included the Ainsworth Sensitivity Scales at 6 and 18 months, the Behavioral Evaluation Strategies Taxonomies at 6 months, an Etch-A-Sketch cooperation task at 48 months, and the Parent-Child Early Relationship Assessment at 60 months. To examine whether different latent constructs underlie these measures of maternal parenting, we conducted an exploratory factor analysis. Self-report measures of parenting correlated only weakly with behavioural observations. Factor analysis on a subsample (n = 197) revealed four latent factors that each explained from 7% to 11% of the variance in the data (32% total variance explained). Based on the loadings of the instruments, the factors were interpreted as: Supportive Parenting, Self-Enjoyment Parenting, Overwhelmed Parenting, and Affectionate Parenting. These factor scores showed specific associations with maternal education and depressive symptoms, as well as with child outcomes, including maternally reported internalising and externalising behavioural problems, school readiness, and child-reported symptoms of mental health. These findings parallel the complexity of the parental brain, suggesting that maternal parenting consists of multiple components, each of which is associated with different maternal characteristics and child outcomes.

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 score0.006
Threshold uncertainty score0.531

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 head0.013
GPT teacher head0.286
Teacher spread0.274 · 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

Citations27
Published2019
Admission routes2
Has abstractyes

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