Normative Data for Executive Function and Emotion Interaction Assessment in Adolescents from Rural Areas
Bibliographic record
Abstract
Abstract Objective The present work is part of the ongoing project of examining the validation and standardization of the Executive Functions and Emotion Assessment for Adolescents with Risk Behaviors (EFEAA) test in the rural areas of Northwest Mexico. The objectives of the present study were (1) to examine the effects of age and risk behavior on emotionally interfered working memory ability, measured as performance on the Emotionally Interfered Working Memory Task (EIWMT) section of the EFEAA in a group of healthy adolescents from rural areas; and (2) to use these results to construct normative data that can be used in clinical practice. Participants and Method A total of 275 adolescents, 14.1 years old, geographically distributed among northwest Mexico were included in the sample. They were individually assessed using the Montreal Cognitive Assessment, Risk Behavior Questionnaire, including: sexual risk behavior, impulsiveness, drug, alcohol, and tobacco consumption, unhealthy food intake, and physical inactivity; for measuring emotion-cognition interaction we used the EIWMT. Results Results of this study present a database supported by factors of risk behavior and working memory, which includes: predictors for conduct disorders, drug use, and delinquency, in addition to correlations between the performance of emotionally interfered working memory and risk behaviors associated to health. Percentile and normal distribution tables were generated, demonstrating that there is a high prevalence of risk behavior in rural areas. Conclusions This study demonstrates data related to rural areas in northwest Mexico, a region where adolescents are frequently involved in risk behaviors. Additionally, protective factors are understudied in Mexico-US border cities. Further analyses are needed to find reward delay skills on the studied sample as well as urban area comparisons.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".