Bibliographic record
Abstract
Social relationships, or the lack thereof, constitute a major psychosocial risk factor for health, rivaling the effect of well-established traditional cardiac risk factors. For example, the INTERHEART study, a casecontrol study of patients across 52 countries who had experienced an acute myocardial infarction, reported that adverse psychosocial factors accounted for a population attributable risk of 32.5%, which is similar to the population attributable risk for smoking of 35.7%. Social integration has been defined as the presence of social relationships that provide a sense of belonging, a subjective bond that individuals feel in relation to others and groups of others. A network of positive relationships can provide a tremendous source of support, meaning, and belonging, whereas the absence of relationships or a state of social isolation can have detrimental implications for health trajectories and well-being. Loneliness—the perception that one’s desired social relationships or connectivity are not being fulfilled—has been identified as a significant risk factor for depression and poor health behaviours. Although the prevalence of loneliness can vary with age or life stage, being married or with a partner does not necessarily ensure protection from loneliness. Poor marital quality or dissatisfaction has been associated with higher levels of reported loneliness, new onset depression, and poor long-term survival. The Framingham Offspring Study further documented that repressed marital communication, conflict, and strain were all associated with adverse health outcomes, especially in women. These data strongly suggest that psychosocial factors such as loneliness and marital quality, a component of social integration, exert considerable influence on the biopsychosocial experience of recovery and resulting health outcomes. In this issue of the European Journal of Preventive Cardiology, Roijers et al. present the results of a prospective cohort study for patients undergoing primary percutaneous coronary intervention who underwent cardiac rehabilitation (CR) for three months and were followed up for 12 months. These Dutch patients were representative of a typical population referred for CR. The population was analyzed for changes in subjective health status as determined by a Dutch normed SF-12. Of the many psychosocial variables that might influence health status, ‘‘loneliness’’ and ‘‘marital health quality’’ were chosen for analysis using standardized measures. They found that the ‘‘optimal married’’ versus ‘‘less optimal married’’ had similar improvements in a relative sense, even though the ‘‘less optimal married’’ started at a lower baseline value. After 12 months, the ‘‘optimal married’’ achieved and even surpassed the Dutch median population norm, whereas the ‘‘less optimal married’’, although showing improvement, did not reach this level. ‘‘Lonely’’ and ‘‘non-lonely’’ patients improved in a similar relative sense, but again the ‘‘lonely’’ patient group started at a lower level and did not reach the mean Dutch values for health perception. So, what are we to make of these intriguing findings? Interestingly, the improvements in the mental and physical perceived health status continued to improve after the end of the CR program until the 12-month followup. Further study could focus on the participants during the 3–12 month timeframe to specifically assess the reasons for this. For the ‘‘marital quality’’ groups, the cardiac event may have been the outside threat that galvanized improvement, or such couples may have received extra psychological counseling during and/or after the CR program. In a similar fashion, the ‘‘lonely’’ and ‘‘non-lonely’’ groups increased both during the CR program and afterwards. Although
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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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".