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Record W2979391220

Motivational Interviewing as a Lifestyle Management Strategy for Dyslipidemic Overweight and Obese Adolescents

2016· dissertation· en· W2979391220 on OpenAlexaff
N. Chahal

Bibliographic record

VenueTSpace (University of Toronto) · 2016
Typedissertation
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMotivational interviewingOverweightWeight managementObesityMedicinePsychologyGerontologyClinical psychologyPsychiatryEndocrinologyPsychological intervention
DOInot available

Abstract

fetched live from OpenAlex

Background: Dyslipidemia, overweight and obesity (OW/OB) in the pediatric population contributes to metabolic complications and future cardiovascular disease. The prevalence varies but the problem is a global issue. Adolescence is a challenging developmental stage with many factors influencing adolescent health. Lifestyle management is the preferred treatment. Motivational interviewing is a promising counselling approach; however, evidence is limited for this population. Objectives and Methods: The substantive focus involved exploring MI for dyslipidemic adolescents. Study A was a retrospective cohort comparison aimed to assess a collaborative educational approach with MI elements for pediatric patients (n=38) newly referred to a specialized lipid clinic, versus historical patients who had received a more didactic educational approach (n=31). Study B involved theoretical research to build and graphically represent a conceptual framework for MI, including special applications to adolescents. Study C was a mixed-methods, randomized controlled trial (N=32) to evaluate the outcomes of MI counselling, comparing adolescents together with a parent versus adolescents alone. A qualitative component occurred following the quantitative data collection to explore the perceptions of participants. Findings: Despite some limitations, sufficient promise was observed in the Study A findings to move forward with a detailed plan to rigorously explore MI. Significantly improved lifestyle and anthropometry outcomes were observed favouring the collaborative education approach with MI. The theoretical work in Study B defined four key elements for a MI framework: the Person, the Problem, the Process, and the MI Counsellor. The between group results for Study C were equivocal; however, with both groups combined in a secondary analysis, there were significant improvements in nearly all outcomes. The interviews enriched an understanding of the participantsâ lives, lifestyle change, and the counselling process. Conclusion: Motivational interviewing is an effective and desired counselling strategy for adolescents with dyslipidemia and overweight/obesity. Further research with a longer period of observation is needed to determine whether achieved lifestyle improvements can be sustained in the long-term.

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)0.007
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.286
Teacher spread0.267 · 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
Published2016
Admission routes1
Has abstractyes

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