Alcohol misuse, gender and depressive symptoms in community‐dwelling seniors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Alcohol misuse in seniors has been studied in clinical samples and in small communities, but relatively few studies are population-based. Objectives are: (1) to describe the characteristics of seniors who score 1 or more on the CAGE (Cut down; Annoyed; Guilty; Eye-opener) questionnaire of alcohol problems; (2) to determine if depressive symptoms are associated with alcohol misuse after accounting for other factors. METHODS: Cross-sectional study of community-dwelling older people (65+ years) sampled from a representative population registry in Manitoba, Canada. Participants were initially interviewed in 1991-1992 and reinterviewed in 1996-1997. Data from Time 2 were used; 1,028 persons were included in the analyses. Sociodemographic characteristics, the CAGE questionnaire, Activities of Daily Living (ADLs) and instrumental ADLs (IADLs), the Center for Epidemiologic Studies-Depression (CES-D) scale and the Mini-Mental State Examination (MMSE) were assessed by trained interviewers. RESULTS: Males were more likely to score positive on the CAGE questionnaire. After adjusting for gender, age, and education, there was a strong association between depressive symptoms and alcohol misuse. Poor self-rated health and impairments in IADLs were also associated with alcohol misuse. CONCLUSIONS: Male gender, depressive symptoms, and poor functional status were associated with alcohol misuse in this population-based study. Attention to depressive symptoms and functional status may be important in the care of seniors with alcohol misuse. Alternatively, physicians should enquire about alcohol use in seniors with functional impairment or depressive symptoms.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it