Contribution of stressful life events to gambling activity in older age
Bibliographic record
Abstract
Abstract Older subjects are susceptible to develop gambling problems, and researchers have attempted to assess the mechanisms underlying the gambling profile in later life. The objective of this study was to identify the main stressful life events (SLE) across the lifespan which have discriminative capacity for detecting the presence of gambling disorder (GD) in older adults. Data from two independent samples of individuals aged 50+ were analysed: N = 47 patients seeking treatment at a Pathological Gambling Outpatient Unit and N = 361 participants recruited from the general population. Sexual problems ( p < 0.001), exposure to domestic violent behaviour ( p < 0.001), severe financial problems ( p = 0.002), alcohol or drug-related problems ( p = 0.004) and extramarital sex ( p < 0.001) were related to a higher risk of GD, while getting married ( p = 0.005), moving to a new home ( p = 0.003) and moving to a new city ( p = 0.006) decreased the likelihood of disordered gambling. The accumulated number of SLE was not a predictor of the presence of GD ( p = 0.732), but patients who met clinical criteria for GD reported higher concurrence of SLE in time than control individuals ( p < 0.001). Empirical research highlights the need to include older age groups in evidence-based policies for gambling prevention, because these individuals are at high risk of onset and/or progression of behavioural addiction-related problems such as GD. The results of this study may be useful for developing reliable screening/diagnostic tools and for planning effective early intervention programmes aimed to reduce the harm related to the onset and evolution of problem gambling in older adults.
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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 | 0.000 | 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 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".