Lifestyle risks for three disease outcomes in spinal cord injury
Bibliographic record
Abstract
OBJECT: The majority of research focusing on lifestyle risks in the spinal cord-injured population to date has mainly been descriptive in nature. Limited research has examined the relationships between lifestyle risks and morbidity. This study was undertaken to quantify the associations between selected lifestyle risks and morbidity associated with three top causes of mortality in adults with spinal cord injury (SCI). METHOD: Ninety-seven adults who had incurred a spinal cord injury between 1972 and 1992 were interviewed over the telephone to assess morbidity and lifestyle exposure history. Logistic regression modelling was used to assess the association between lifestyle risks and cardiovascular, respiratory and urinary tract disorders. RESULTS: Risk of cardiovascular morbidity was found to be positively associated with age and duration of cigarette use. Risk of respiratory morbidity was found to be positively associated with quadriplegia, number of cigarettes smoked per day, and the interaction between cigarettes smoked per day and excessive alcohol consumption. Risk of urinary tract morbidity was found to be positively associated with a complete lesion, number of cigarettes smoked per day and, surprisingly, physical activity. Risk of urinary tract morbidity was negatively associated with monthly alcohol consumption, a traumatic injury and the interaction between monthly alcohol consumption and a complete lesion. CONCLUSION: With respect to the three morbidity outcomes in this study, cigarette smoking is the most damaging lifestyle behaviour in the spinal cord-injured population. Attention and resources should be directed towards SCI-specific smoking prevention and cessation programmes to prevent the development and exacerbation of chronic diseases in this unique population. Further research is needed to fully understand the associations between lifestyle and chronic diseases in the SCI population.
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 | 0.002 | 0.041 |
| 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".