Bibliographic record
Abstract
Introduction The term “Hikikomori” refer to the modern phenomenon–severe (acute, prolonged) social withdrawal (SSW). Recently, there have been increasing reports of Hikikomori around the globe, Ukraine is not an exception. Objectives To describe epidemiological and psychopathological features of Hikikomori from Ukraine. Methods Hikikomori was defined as a six-month or longer period of spending almost all time at home, avoiding social situations, social relationships, associated with significant distress/impairment. Lifetime history of psychiatric diagnosis was determined by the M.I.N.I. 7.0. Additional measures was Alexithymia Scale (TAS-20), Life experience questionnaire (LEQ), Buss-Durkee Hostility Inventory (BDHI), Chaban quality of life scale (CQLS). Results In total, 65.4% of Hikikomori group (HG, n = 26) had at least one psychiatric diagnosis, 34.6% had not. Personality disorders (15.4%), PTSD (11%), MDD (7.7%), SAD (7.7%), OCD (7.7%), bulimia nervosa (3.8%) were the most common. Onset of SSW in 41.7% started before 18 y.o. Healthy individuals formed the control group (CG, n = 25). Individuals with Hikikomori had high level of alexithymia (TAS-20 M = 71, SD = 11.6 vs. M = 60.8 SD = 13.8, P = 0.006). Childhood trauma was reported by 31.8% of CG vs. 52% of HG. Hikikomori had higher trauma index (LEQ M = 3.03, SD = 0.98 vs. 2.31, SD = 1.1, P = 0.019), larger number of lifespan traumatic events (LEQ 95%CI 4.57–7.35 vs. 2.8–5.28, P = 0.039); higher levels of irritability, resentment, suspiciousness, higher aggressiveness (BDHI M = 23, SD = 6.4 vs. M = 16.6, SD = 6, P = 0.001), low quality of life (CQLS M = 12.4, SD = 3.3, Р ≤ 0.001). Conclusion Hikikomori exist in Ukraine, SSW quantitatively and qualitatively related to childhood trauma, manifests in adolescence, can be characterized by defined psychopathological features and affects quality of life. Disclosure of interest The author has not supplied his/her declaration of competing interest.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".