Low self-esteem and psychiatric patients: Part II – The relationship between self-esteem and demographic factors and psychosocial stressors in psychiatric patients
Bibliographic record
Abstract
BACKGROUND: The objective of the present study was to identify the effects and relative importance of demographic factors and psychosocial stressors on self-esteem of psychiatric patients. METHOD: The present study was carried out on a consecutive sample of 1,190 individuals attending an open-access psychiatric outpatient clinic. Patients were diagnosed according to DSM III-R diagnostic criteria following detailed assessments. At screening, patients and controls completed two self-esteem questionnaires, the Rosenberg self-esteem scale and the Janis and Field Social Adequacy scale. In addition, a large amount of demographic and psychosocial data was collected on all patients. RESULTS: Significantly increased self-esteem was observed with an increase in age, educational achievement and income. Employed patients showed significantly higher self-esteem compared to unemployed patients. Female patients had a significantly lower self-esteem compared to male patients. The self-esteem of psychiatric patients did not vary significantly with their marital status. No relationship was detected between acute stressors and the self-esteem of psychiatric patients, although severe enduring stressors were associated with lower self-esteem in psychiatric patients. CONCLUSION: The results of this large study demonstrate that the self-esteem of adult psychiatric patients is affected by a number of demographic and psychosocial factors including age, sex, educational status, income, employment status, and enduring psychosocial stressors.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".