The correlates of substance use among older adults in Ghana during the COVID-19 pandemic
Bibliographic record
Abstract
Background Evidence suggests that substance use remains one of the negative consequences of the coronavirus (COVID-19) pandemic among older adults. However, not much is known about the prevalence and associated factors of substance use during the COVID-19 pandemic in Ghana. Methods Using data from a survey on coronavirus-related health literacy conducted in the Ashanti Region of Ghana among 474 older adults aged 50 years or above, we performed multivariable logistic regression analysis to assess demographic, socio-economic and health-related correlates of alcohol and tobacco use. Results We recorded a prevalence of 11.4% alcohol use and 6.8% of tobacco smoking, in addition to 16% prevalence of tobacco smoking and/or alcohol intake during the pandemic. After adjusting for the demographic and socio-economic factors, male participants had higher odds of substance use than their female counterparts. Older adults with tertiary education and those who rated their wealth status as poor had a lower odds of substance use than their counterparts. Conclusions Our findings have implications for designing programs and policies to limit substance use among older adults during the COVID-19 pandemic and possible future disease outbreaks.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".