Health-related lifestyle factors and mammography screening attendance in a Swedish cohort study
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
To determine whether health-related lifestyle factors are associated with attendance at a population-based invitational mammography screening program in southern Sweden, data on health-related lifestyle factors (smoking, alcohol use, physical activity, BMI, diet, self-rated health, and stress) were obtained from the Malmö Diet and Cancer Study and linked to the Malmö mammography register (Sweden, 1992-2009). Women (n=11 409) who were free from breast cancer at study entry were included in the cohort, and mammography attendance was followed from cohort entry to 31 December 2009. Generalized estimating equations were used to account for repeated measures within patients. Adjusted odds ratios (OR) and 95% confidence intervals (CI) are reported. Nonattendance occurred in 8% of the 69 746 screening opportunities that were observed. Nonattendance was more common among women who were current or former smokers [OR=1.60 (1.45-1.76) and OR=1.15 (1.05-1.28)], had not used alcohol in the past year [OR=1.55 (1.32-1.83)], were less physically active outside of work [OR=1.10 (1.00-1.20)], had high physical activity at work (OR=1.13, 95% CI: 1.00-1.28), were vegetarians or vegans [OR=1.49 (1.11-1.99)], had not used dietary supplements [OR=1.11 (1.01-1.21)], had poor self-rated health [OR=1.24 (1.14-1.36)], and were experiencing greater stress [OR=1.25 (1.14-1.36)]. In this cohort, nonattendance was associated with smoking, alcohol abstinence, physical activity, poor self-rated health, stress, and following a vegetarian/vegan diet. These findings generally support the notion that women with less healthy lifestyles are less likely to engage in mammography screening.
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 | 0.003 | 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 it