“In the End You Keep Silent”: Help-Seeking Behavior Upon Sexual Victimization in Older Adults
Bibliographic record
Abstract
Sexual violence is considered a prominent mental health problem. Exposure to sexual victimization during lifetime has been linked to mental health problems in old age. Research in adult victims has shown that they experience many barriers for disclosure and seeking professional help upon sexual victimization. However, information on help-seeking behavior in older victims of sexual violence is non-existent. With this study we aim for a better understanding of help-seeking behavior upon sexual violence in older adults. We used a mixed methods approach with an explanatory sequential design. Data were collected through structured face-to-face interviews with a random sample of 227 sexual violence victims of 70 years and older living in Belgium. Quantitative data were triangulated with qualitative data from 15 in-depth interviews with older victims. We found that up to 60% of older sexual violence victims never disclosed their experiences and 94% never sought professional help. Help-seeking is a complex process comprising several phases, which are affected by strong feelings of shame and self-blame, ageist premises and taboos about sexuality. In the end, most victims choose to cope on their own. Occasional disclosure only happens decades after the sexual violence took place. Older victims do not spontaneously disclose to healthcare workers but expect professionals to initiate the conversation. In conclusion, few older victims disclose or seek professional help upon sexual victimization. Healthcare professionals working with older adults need capacity building through training, screening tools, and care procedures to initiate conversation on sexual violence, and to detect signs, prevent, mitigate and respond to sexual victimization in older adults.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 | 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".