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Record W2896106757 · doi:10.1371/journal.pone.0195365

Trajectories of maternal depressive symptoms during pregnancy and the first 12 months postpartum and child externalizing and internalizing behavior at three years

2018· article· en· W2896106757 on OpenAlexafffundabout
Dawn Kingston, Heather Kehler, Marie‐Paule Austin, Muhammad Kashif Mughal, Abdul Wajid, Lydia Vermeyden, Karen Benzies, Stephanie Brown, Scott Stuart, Rebecca Giallo

Bibliographic record

VenuePLoS ONE · 2018
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health ResearchUniversity of CalgaryAlberta InnovatesNational Health and Medical Research CouncilState Government of VictoriaUniversity of Alberta
KeywordsPregnancyEdinburgh Postnatal Depression ScaleGeneration RPsychosocialPostpartum depressionPostpartum periodLongitudinal studyPopulationSubclinical infectionPsychologyCohort studyMedicineCohortClinical psychologyPsychiatryDepressive symptomsAnxiety

Abstract

fetched live from OpenAlex

BACKGROUND: Most evidence of the association between maternal depression and children's development is limited by being cross-sectional. To date, few studies have modelled trajectories of maternal depressive symptoms from pregnancy through the early postpartum years and examined their association with social emotional and behavior functioning in preschool children. The objectives of this study were to: 1) identify distinct groups of women defined by their trajectories of depressive symptoms across four time points from mid-pregnancy to one year postpartum; and 2) examine the associations between these trajectories and child internalizing and externalizing behaviors. METHODS: We analyzed data from the All Our Families (AOF) study, a large, population based pregnancy cohort of mother-child dyads in Alberta, Canada. The AOF study is an ongoing pregnancy cohort study designed to investigate relationships between the prenatal and early life period and outcomes for children and mothers. Maternal depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale. Children's behavioral functioning at age 3 was assessed using the Behavior Scales developed for the Canadian National Longitudinal Survey of Children and Youth. Longitudinal latent class analysis was conducted to identify trajectories of women's depressive symptoms across four time points from pregnancy to 1 year postpartum. We used multivariable logistic regression to assess the relationship between trajectories of maternal depressive symptoms and children's behavior, while adjusting for other significant maternal, child and psychosocial factors. RESULTS: 1983 participants met eligibility criteria. We identified four distinct trajectories of maternal depressive symptoms: low level (64.7%); early postpartum (10.9%); subclinical (18.8%); and persistent high (5.6%). In multivariable models, the proportion of children with elevated behavior symptoms was highest for children whose mothers had persistent high depressive symptoms, followed by mothers with moderate symptoms (early postpartum and subclinical trajectories) and lowest for minimal symptoms. After accounting for demographic, child and psychosocial factors, the relationships between depression trajectories and child hyperactivity/inattention, physical aggression (subclinical trajectory only) and separation anxiety symptoms remained significant. CONCLUSION: These findings suggest both externalizing and internalizing children's behaviors are associated with prolonged maternal depressive symptoms. There is a good case for the need to move beyond overly simplistic clinical cutoff approaches of depressed/not depressed in screening for perinatal depression. Women with elevated depressive symptoms at clinical and subclinical levels need to be identified, provided with evidence-based treatment, and monitored with repeat screening to improve maternal mental health outcomes and reduce the risk of associated negative outcomes on children's early social-emotional and behavior development.

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 score0.115
Threshold uncertainty score0.594

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 head0.021
GPT teacher head0.246
Teacher spread0.225 · 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

Citations194
Published2018
Admission routes3
Has abstractyes

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