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Record W7132895982

The Mind-Body Connection and Psychosocial Factors: an Examination of Depression, Parent-Child Conflict, and Inflammation in Children and Adolescents

2023· dissertation· W7132895982 on OpenAlexfundno aff
Marlena Colasanto

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersHospital for Sick Children
KeywordsDepression (economics)Association (psychology)PsychosocialLongitudinal studyMoodMajor depressive disorderDepressive symptomsInflammation
DOInot available

Abstract

fetched live from OpenAlex

The dissertation comprises three studies investigating the association between depression, inflammation, and parent-child conflictual relationships in children and adolescents. The first study is a meta-analysis that synthesized and quantified empirical studies examining the association of depression and inflammation among children and adolescents. Twenty-two studies (20, 791 participants) were included, and significant associations were observed between concurrent depression and C-reactive protein (CRP) and interleukin-6 (IL-6). Longitudinal analyses revealed that depression was a significant predictor of IL-6 and that inflammation (measured by CRP or IL-6) predicted future depression. The second and third studies used primary data from participants recruited through the Children’s Integrated Mood and Body Program (CLIMB) at The Hospital for Sick Children. Study Two examined the interactive effects of depression and parent-child conflict in a clinical sample of children and adolescents with MDD (N = 115) and healthy controls (N = 60). Results indicate that parent-child conflict and depression significantly interacted and were associated with CRP. The association between conflict and CRP was substantial at low levels of depression and not at high levels of depression, suggesting that low parent-child conflict represents a protective factor for children and adolescents with low levels of depressive symptoms. The model accounted for a significant amount of the variance of levels of CRP. Using an autoregressive cross-lagged panel model, the third study explored the longitudinal association between depressive symptoms, parent-child conflict, and inflammation in children and adolescents with MDD (N = 163). Results found a significant cross-lagged association between depression at baseline and inflammation 6 months later, though not between conflict at baseline and later inflammation. Within time points, parent-child conflict and inflammation were significantly associated. Together, this dissertation contributes to the research on the association between mental health and physical health in children and adolescents and the critical role played by psychosocial factors within their environments. Results highlight the significant role of depression and parent-child conflict on levels of inflammatory biomarkers in children and adolescents. Parent-child conflict and depression may be important targets for intervention among youth to improve physical health outcomes. Directions for future research and implications for clinical practice are discussed.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.019
GPT teacher head0.327
Teacher spread0.308 · 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
Published2023
Admission routes1
Has abstractyes

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