Cognitive functional screening with the Indonesian Montreal Cognitive Assessment of farmers exposed to pesticides: A cross-sectional study
Bibliographic record
Abstract
Objectives: Cognitive assessment with the Indonesian Montreal Cognitive Assessment (MoCA Ina) is essential to detect mild cognitive impairment in farmers in Indonesia. This study aims to observe cognitive function with the MoCa Ina in high-exposed and low-exposed areas in Magelang Regency, Central Java, Indonesia. Materials and Methods: A cross-sectional study is proposed to collect 101 respondents from Pakis District, high-exposed pesticides, and 100 respondents from Mertoyudan District, low-exposed ones. Covariates are baseline demographic and pesticide-use behavior, and dependent variables are exposure level and MoCA Ina components. Statistical analysis uses chi-square and Binary Logistic for categorical data. Independent t -tests, analysis variance, and covariance analysis are used to analyze continuous data. All data are set at <0.05 significance with the Statistical Package for the Social Sciences version 25. Results: Elementary school (adjusted odd ratio [AOR] = 0.43; confidence interval [CI] 95% = 0.07, 0.27; P = 0.00) and junior high school (AOR = 0.11; CI 95% = 0.01, 0.74; P = 0.02) are associated with exposure status, as well as MoCA Ina components exclusively visuospatial ( P < 0.001), naming ( P < 0.001), abstraction ( P = 0.00), delayed recall ( P = 0.02), and total MoCA ( P = 0.00). However, after controlling for confounding, only orientation finds its significance (mean difference 0.20, P = 0.04). The mean difference proves that the high-exposed area has a worse score MoCA than the low-exposed pesticide one. Specifically, in highly exposed one, pesticide use behavior, broflanilide pesticide application ( P = 0.02), length of used pesticide ( P = 0.01), and spraying time ( P = 0.00) get their significance. Wearing glass protection contributes to cognitive scoring MoCA Ina components such as naming ( P < 0.001), language ( P = 0.02), abstraction ( P = 0.02), orientation ( P = 0.00), and total MoCA ( P = 0.01). Conclusion: Pesticide exposure contributes to cognitive function. Additional precautions regarding educational background, pesticide-use behavior, and personal protective equipment compliance should be handled.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".