Trends and associated factors of alcohol consumption among Southern Thai adolescents, 2003–2009
Bibliographic record
Abstract
Tantirangsee, N., Assanangkornchai, S., & Geater, A. (2014). Trends and associated factors of alcohol consumption among Southern Thai adolescents, 2003–2009. The International Journal Of Alcohol And Drug Research, 3(3), 219 – 225. doi:http://dx.doi.org/10.7895/ijadr.v3i3.152Aims: To examine the trends in and the factors associated with the use of alcohol among high school students during the period from 2003 to 2009 in southern Thailand.Design: School-based biannual cross-sectional surveys. A self–administered, voluntary and anonymous questionnaire was used to collect data on current alcohol drinking and demographic variables. The time trends were evaluated using a Chi-squared test for trend. The factors associated with alcohol consumption were examined by survey logistic regression models.Setting: High school student sample in southern Thailand.Participants: Grade 7, 9 and 11 students. The numbers of students sampled were 10,972, 9,005, 6,097 and 5,573 in 2003, 2005, 2007 and 2009, respectively.Measures: The association of the use of alcohol over a 30-day period with year of survey and demographic variables including gender, school level, school location, GPA and religion.Findings: Prevalence of the use of alcohol over a 30-day period in grade 11 students tended to increase in males (p-value < 0.001) with no change in females, but the trends of drinking in younger students (grades 7 and 9) decreased over the years in both genders (p-value < 0.001). Male gender (OR 2.16, 95% CI 1.91–2.44), higher school years (grade 9: OR 2.66, 95% CI 2.35–3.01 and grade 11: OR 2.93, 95% CI 2.41–3.55), Buddhism (OR 3.50, 95% CI 2.65–4.64) and low school record (OR 1.51, 95% CI 1.30–1.75) were variables associated with alcohol consumption.Conclusions: The prevalence of young drinkers decreased over the years covered in this study, although the prevalence among senior high school students increased. Specific interventions should be designed and integrated in school activities to reduce the prevalence of alcohol consumption.
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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 | 0.001 | 0.000 |
| 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".