Barriers to Treatment-Seeking Behavior Among Adolescents With Anxiety in Indonesia
Bibliographic record
Abstract
This study aims to identify factors related to treatment-seeking behavior in people with anxiety disorders in Indonesia. The research was conducted in 3 (three) regions ie Bogor City, Jombang and Tojo Una-Una Regency. The study population was men and women aged 15 years and above. The total sample survey was 2,283 respondents. This research was a cross-sectional design with a quantitative approach. Selection of research location based on the village with a variety of mental disorder conditions. Bogor City in West Java Province was chosen to represent the urban areas of Java with a high prevalence of the mental disorder. Tojo Una-Una District in Central Sulawesi was selected to represent rural areas outside Java with a high prevalence of the mental-emotional disorder. Jombang District in East Java Province also elected to represent the area of low mental disorder with a well-known mental health program. Results show 16.6% of respondents are suffering from anxiety disorders, while others have only complained about 1 or more symptoms of anxiety. Of the total people with such anxious symptoms, only 46.2% of people are seeking treatment, while 36.3% with anxiety disorders doing the same. There is a relationship between age and sex with help-seeking behaviors (p = 0.00). Adolescents who suffer from anxiety at risk of no treatment 6.6 times (Adjusted OR=6.6; 95% CI= 3.4-23.9) compared to the elderly. Men with anxiety disorders are likely 1.97 times (Adjusted OR=0.5; 95% CI= 0.4-0.7) at no treatment than women. People who have an anxiety disorder at risk of 1.7 times (Adjusted OR=1.7; 95% CI= 1.1-2.4) for having no treatment than people with anxiety symptoms. It is essential to improve knowledge about anxiety and how important to find treatment through counseling and health education on mental health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".