“I’m trying to figure out who the hell I am”: Examining the psychosocial and mental health experience of individuals learning “Not Parent Expected” news from a direct-to-consumer DNA ancestry test
Bibliographic record
Abstract
BACKGROUND: According to recent estimates, around 30 million people have taken Direct-to-Consumer DNA ancestry tests, typically marketed as a fun, harmless and exciting process of discovery. These tests estimate a user's ethnic ancestry, also matching users with biological relations on their database. This matching can produce a surprising 'not parent expected' discovery, where a user learns that an assumed parent (typically the father) is not a biological parent. Such news may negatively affect mental health, self-identity and familial relationships, while prompting the utilization of putatively helpful resources by affected individuals. However, there is a lack of research on this topic. Thus, this study aimed to document the psychosocial experience of adults who have learnt that an assumed parent is not a biological parent via a Direct-to-Consumer DNA ancestry test. Specific objectives include investigating and understanding impact on mental health, familial relationships and subsequent resources mobilized. METHODS: To meet these objectives, we conducted an inductive qualitative study, allowing for the documentation of common experiences and perspectives. This involved 52 semi-structured interviews with affected individuals, analyzed using thematic analysis. RESULTS: This resulted in five overlapping themes, namely (i) participants typically described their experience as an extraordinary shock that had a negative impact on their mental health, with some exceptions; (ii) the experience typically led to a severe and troubling disruption of their self-identity, with some exceptions; (iii) the news often ruptured extant familial relationships, especially with the mother, and any experiences with the new biological family were mixed; (iv) participants sought support from a variety of resources including spouses, siblings, and online peer support groups, which were generally considered helpful, with some exceptions; and (v) many participants consulted mental health professionals, who were sometimes considered supportive, but some participants noted that they were ill-equipped to help. Common across these themes were issues of grief, loss and trauma. CONCLUSIONS: This study reveals an expanding, vulnerable, and under-researched population facing unique stressors, that may be at high risk of developing a psychiatric disorder. There is a need for new services and supports for this population including tailored clinical interventions and specific self-care resources.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".