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Record W3014178043 · doi:10.5430/jnep.v10n7p18

Effect of the nutritional stabilization program “ESNUT” on body composition, stages of change and self-perception of body image in university students

2020· article· en· W3014178043 on OpenAlexvenueno aff
Jazmín García-Navarro Karen, Josefina Gallegos-Martínez, Jaime Reyes‐Hernández

Bibliographic record

VenueJournal of Nursing Education and Practice · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsnot available
FundersUniversidad Autónoma de San Luis Potosí
KeywordsTranstheoretical modelPerceptionPsychological interventionPsychologyConcordanceIntervention (counseling)Descriptive statisticsTest (biology)Behavior changeGerontologyMedicinePhysical therapySocial psychologyMathematicsStatistics

Abstract

fetched live from OpenAlex

Background and objective: Adolescents have changes in diet when entering university (leaving out and irregularity in mealtimes, low intake of fruits and vegetables and high intake of junk food and sugary drinks), often body self-perception does not match the actual body composition leading young people to unhealthy practices. Nutritional educational interventions have been successful based on the Transtheoretical Model of Change. To assess the effectiveness of the educational intervention for Nutritional Stabilization “ESNUT” (name in Spanish) in body composition, stages of change, body self-perception and the concordance level with BMI of students newly admitted to a university before and in post-intervention follow-ups.Methods: Quasi-experimental study with control group in students from 17 to 21 years newly admitted to a university who agreed to participate in the study. Independent variable: Educational intervention Nutrition Stabilization Model “ESNUT” and dependent variables: body self-perception, body composition, BMI. Instruments: SECA 274 digital stadiometer, InBody 230 Bioimpedanciometer, body silhouettes test and change assessment scale of the University of Rhode Island (URICA). Analysis. Descriptive statistics, student’s t (comparison of means) and Pearson's r (correlation) with support from the statistical program SPSS version 18.Results: About 50% of the experimental group showed normal nutritional status according to the Real BMI but only 17% according to the fat mass percentage in the third month of follow-up was 50%. A discrepancy was observed with the Perceived BMI, 67% had a self-perception of normal weight. In the experimental precontemplation group, at basal near 50%, it finally reduced 20% and placed in preparation/action.Conclusions: The effectiveness of the “ESNUT” intervention was observed in the experimental group through body composition with a reduction in the percentage of fat mass, therefore Overweight/Obesity. Self-perception of body image in its correlated Perceived Body Mass Index (BMI) versus Real BMI increased their level of concord. The transition from pre-contemplation to contemplation was observed in the stages of change, as well as from this towards preparation/action. The control group made little progress due to relapse to predecessor stages and revealed itself in an increase in the percentage of body fat. Both the experimental and control groups tended to underestimate the perceived BMI versus the actual BMI. Clinical importance: Identifying the stage of change allows feedback in the support of the change and motivates the participants according to the stage in which they are.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.109
GPT teacher head0.513
Teacher spread0.404 · 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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