Parent-Child Relationship, Demographic Attributes and Self-Defeating Behaviour Patterns among Individuals with Substance Use Disorder
Bibliographic record
Abstract
The human needs belong to the universal, fundamental, and influential needs and its effects on mental health if people get social rejection and exclusion. The maladaptive patterns were developed, and it could continue till adulthood. Objective: To look at the relationship and prediction of Parent-Child and self-defeating behaviour in individuals with substance use disorder. Methods: It was correlational research in which purposive sampling was used to collect data of 150 participants with substance use disorder from Hospital and Rehabilitation Centres. Pearson product moment correlation analysis, linear regression analysis was used to find correlation and predication respectively, while 5% (0.05). p-value was used for the study to analysis significance of the variables. The inventory of parents and peer attachment, and Ottawa self-injury inventory were individually administered to measure parent-child relationship, and self-defeating behaviour respectively. Results: Parent-child relationship was negative significant with Self-defeating behaviour (r=-0.182, p≤.05), family member (r= -0.33, p≤0.005) and with life satisfaction (r= -0.27, p≤0.001), while self-defeating behaviour was positively significant with age (r= 0.29, p≤0.005), family status (r=0.19, p≤0.05) and duration with drug use (r= 0.17, p≤0.05). Negatively significant with education (r= -0.19, p≤0.05), marital status (r= -0.28, p≤0.005) and life satisfaction (r= -0.27, p ≤0.005). The result showed that 11% of the variance explained by demographic variable in self-defeating behaviour of participants. Conclusions: It was concluded that negative relationship found between parent-child relationship and self-defeating behaviour. Parent-Child relationship is significant predictor of self-defeating behaviour with demographic variables.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".