Socio-economic determinants for alcohol consumption and heavy episodic drinking in a Ugandan student population
Bibliographic record
Abstract
Stafström, M. & Agardh, A. (2012). Socio-economic determinants for alcohol consumption and heavy episodic drinking in a Ugandan student population. International Journal of Alcohol and Drug Research, 1(1), 57-67. doi: 10.7895/ijadr.v1i1.40 (http://dx.doi.org/10.7895/ijadr.v1i1.40)Aims: To examine whether the socio-economic determinants of alcohol use found in high-income university student settings are also true of Uganda.Design: Two cross-sectional surveys, conducted in 2005 and 2010, combined into a single dataset.Setting: Mbarara University of Science and Technology (MUST) in southwestern Uganda.Participants: 2,934 students (N in 2005 = 980; N in 2010 = 1,954). Total response rate = 76.8%.Results: Multivariate logistic regression showed the following socio-economic determinants to be positively associated with alcohol consumption: having attended boarding school (for males only); being Catholic; religion not playing a big role while growing up; head of household having had secondary education or higher (for females only); being a student of development studies, tropical forest conservation or computer science (the latter two for males only). Being Muslim or, for males, being a non-Anglican Protestant were negatively related to alcohol use. Different patterns were found for heavy episodic drinking. Being a male Muslim or a male student of development studies was positively related to heavy episodic drinking; while among females, being of a non-classified faith, having had a head of the household with a secondary education, not being raised by both parents, or being a student of development studies or science were positively related to heavy episodic drinking.Conclusion: Alcohol consumption and heavy episodic drinking on a monthly basis among the students at MUST seem linked to a student’s socio-economic background, with varying patterns for male and female students.
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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".