Premutation Allele Combined with Caregiver Distress Factor Increase the Risk of Depression in Fragile X Carriers: Indonesia Setting
Bibliographic record
Abstract
This study was done to determine the risk of anxiety and depression symptoms among fragile X premutation carriers. Hamilton anxiety rating scale (HARS) and Hamilton depression rating scale (HDRS) was administered by trained physicians to measure the severity of anxiety and depression symptoms, respectively. Caregiver distress factors which directly contribute to caregiver burden in particular degree of relationship with the child, number of FXS child, child institutional/educational status, number of hours spent providing care per day, and the degree of illness severity were documented. Thirty-one fragile X carriers (27 females, 4 males), aged 32-77 years participated in this study. Only 3.2% had anxiety symptoms, while depression symptoms were identified in 35.5% carriers. Number of hours of providing care/day were significantly associated with depression symptoms (p<0.001). The prevalence ratio (PR) of depression among individuals who had a distress score above cut-off was 3.2 (95% CI= 1.2 to 8.5) compared to those who had a distress score below cut-off with p=0.02. Fragile X premutation carriers are at a greater risk to develop depression symptoms related to the hours spent in caring for children with fragile X syndrome (FXS).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".