Prevalence and correlates of tobacco use in Botswana: evidence from the 2014 Botswana STEPwise survey
Bibliographic record
Abstract
BACKGROUND: Tobacco use is one of the notable risk factors for non-communicable diseases globally. The objective of this study was to assess the prevalence of tobacco use and identify its correlates in the general population of Botswana aged 15 to 69 years. METHODS: This study used a nationally representative WHO STEPwise Approach to Non-Communicable Disease Risk Factor Surveillance (STEPS) risk factors conducted in 2014 to explore the prevalence of tobacco use and its correlates in Botswana. Using IBM SPSS version 27, data on 4062 people aged 15 to 69 years who had been selected using multistage cluster sampling and had successfully completed the individual questionnaire were analysed. The prevalence of current tobacco smoking and smokeless tobacco use was determined using descriptive statistics while multivariable logistic regression was employed to assess correlates of current tobacco smoking and smokeless tobacco use. All comparisons were statistically significant at 5% significance level. RESULTS: From a total sample of 4062 participants the prevalence of current tobacco smoking was estimated to be 12.9% while smokeless tobacco use was 3.2%. Adjusted results indicate that the odds of current tobacco smoking were eight times (AOR = 8.57, C.I = 6.28-11.7) higher among males compared to their female counterparts; six(AOR = 6.52, C.I 3.64-11.6) and three (AOR = 3.27, C.I. =2.07-5.15) times higher among respondents with no education and primary level education respectively, compared to their counterparts with tertiary or higher education; while for alcohol users the odds of current tobacco smoking were four times (AOR = 4.28, C.I = 2.93-6.24) higher than among non-alcohol users. The odds of smokeless tobacco use were significantly higher among women compared to men (AOR = 7.34, C.I = 4.01-13.4); individuals aged 50-59 (AOR = 1.15, C.I = 1.06-3.37) and 60-69 years (AOR = 1.23, C.I. =1.08-3.63) compared to 15-29 years; individuals with no education (AOR = 2.07, C.I = 1.03-4.02) and primary education (AOR = 1.05, C.I = 1.01-2.23) compared to individuals with tertiary education. However, the odds of smokeless tobacco use were significantly lower among individuals who consume alcohol (AOR = 0.48, C.I. = 0.29-0.80) compared to non-alcohol consumers. CONCLUSION: Findings of this study indicate the need to strengthen existing national policies to reduce harmful use of tobacco among men, women, older adults, no or primary education level individuals and alcohol users.
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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 | 0.002 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".