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Record W4387971877 · doi:10.26685/urncst.524

The Effectiveness of Integrating Psychotherapy Into Overweight/Obesity Interventions on Youth’s Weight Status and Depressive Symptoms: A Narrative Review

2023· review· en· W4387971877 on OpenAlexaff
Rohina Kumar, Genevieve Ramnarine

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2023
Typereview
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsycINFOPsychological interventionOverweightMEDLINEClinical psychologyDepression (economics)Intervention (counseling)PsychologyObesityMeta-analysisMedicinePsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

Introduction: Childhood obesity and youth depression are serious ongoing global crises of the 21st century. Many researchers have often attributed this to the well-established association between them. Consequently, psychotherapies are increasingly being integrated into interventions to improve weight status and depression outcomes for individuals with overweight and/or obesity (OW/OB). However, the effectiveness of these interventions has not yet been reviewed for youth with OW/OB. Such youth tend to be at a higher risk of developing comorbid depressive symptoms, which can likely persist into adulthood. Therefore, this narrative review explored the effectiveness of psychotherapy integrations within OW/OB interventions on youth’s weight statuses and their depressive symptoms contemporaneously. Methods: Medline, Embase, PsycInfo, PubMed, and Scopus were accessed. English peer-reviewed empirical articles, reviews, meta-analyses, clinical trials, and pilot studies from the last ten years and those that investigated the effectiveness of OW/OB interventions integrated with psychotherapy among youth (5-18 years) were included. Keywords related to diet, psychotherapy, OW/OB, youth, and depression were used. Non-peer-reviewed sources, reviews lacking sufficient transparency in their methodology, editorials, letters, study protocols, commentaries, preprints, and dissertations were excluded. Results: Four studies, including two pilot studies, were included. Overall, we found high heterogeneity in their intervention components and conditions, study designs, participants, and results. Among youth, all studies found no significant improvements in weight status as per the authors’ set significance thresholds. Mixed results were obtained for the effect on youth’s depressive symptoms. Discussion: There is an alarming lack of recent literature investigating the impact of integrated evidence-based psychotherapies within OW/OB interventions on youth’s weight statuses and depressive symptoms. It is important to investigate their effectiveness in equipping youth with OW/OB with skills to make sustained lifestyle changes and cope with weight discrimination and depressive symptoms. We attributed the weak success of these interventions to the lack of cultural adaptations and standardization of study types, intervention structures, components, and conditions. Conclusion: It is important for researchers to continue investigating the success of such interventions on youth with OW/OB’s physical and mental outcomes simultaneously. This will further inform the interdisciplinary approach needed to deliver appropriate care to these youth.

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)0.006
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.115
GPT teacher head0.522
Teacher spread0.407 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2023
Admission routes1
Has abstractyes

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