Association Between Toluene Inhalation Exposure and Demography Towards Risk of Neurotoxic: A Cross-Sectional Study at Plastic Sack Industry Workers in Indonesia
Bibliographic record
Abstract
Toluene as a chemical often used by industry has effects that are harmful to the human body. One known effect was neurotoxic. Plastic industry workers are always exposed to toluene with a neurotoxic risk. Research on toluene exposure towards neurotoxic risk has never been done in Indonesia.The research subjects were printing workers in the PT X plastic sack industry. The design was cross-sectional with simple random sampling obtained 32 workers. Toluene concentration was measured using a gas chromatography device while the neurotoxic risk was measured using Q18 Questionnaire from German. The majority of the study subjects aged range of 36-45 years, worked more than 18 years, sometimes used personal protective equipment (PPE), and had nutritional status with criteria for overweight  (≥ 23.0 - 24.9). Demographic factors such as age, working period, personal protective equipment (PPE) and nutritional status have a significant relationship with neurotoxic risk. Indoor toluene concentration also had a significant relationship with neurotoxic risk. Continuous toluene exposure could cause apoptosis/damage to the myelin sheath in the nerves so that it can cause neurotoxin risks such as difficult to concentrate, emotional, dementia and sleep disturbances. Toluene exposure in plastic bag workers can cause a risk of neurotoxins such as difficult to concentrate, dementia,  and sleep disturbances. Plastic sack workers are required to use PPE regularly (especially masks) to reduce the risk of neurotoxins through toluene inhalation.
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 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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".