Unwanted abortion disclosure and social support in the abortion decision and mental health symptoms: A cross-sectional survey
Bibliographic record
Abstract
OBJECTIVES: To assess the extent of unwanted abortion disclosure and levels of social support in the abortion decision and their association with depression, anxiety, and stress. STUDY DESIGN: From January to June 2019, we surveyed people presenting for abortion at four clinics in California, New Mexico, and Illinois regarding their experiences accessing abortion. We used multivariable regression to examine associations between unwanted abortion disclosure and social support in the abortion decision, and symptoms of depression, anxiety and stress. RESULTS: Among 1092 people approached, 784 (72% response rate) eligible individuals initiated the survey, and 746 responded to the unwanted abortion disclosure item and were included in analyses. Over one-quarter (27%) told someone they would have preferred not to tell about their decision, mostly due to obstacles getting to the appointment-time to appointment (46%), travel distance (33%), and costs (32%). Three-quarters (74%, n=546) had at least one person in their life who supported the abortion decision "very much"; 20% had someone who supported the decision "not at all." In adjusted analyses, unwanted abortion disclosure was associated with more symptoms of depression (B = 0.62, 95% confidence interval: 0.28, 0.95), anxiety (B = 1.79; 95% CI: 0.76, 2.82) and stress (B = 1.80, 95% CI: 0.64, 1.72). People also had more symptoms of depression and stress when one or more person (B = 0.64; 95% CI: 0.27, 1.02 and B = 0.75, 95% CI: 0.15, 1.35, respectively) or the man involved in the pregnancy (B = 0.67, 95% CI: 0.16, 1.18 and B = 0.96, 95% CI: 0.13, 1.78, respectively) supported their decision "not at all" (vs "very much" support). CONCLUSION: Being forced to disclose the abortion decision due to logistical and cost constraints may be harmful to people's mental health. IMPLICATIONS: Logistical burdens such as travel, time to access care, and costs needed to access abortion may force people seeking abortion to involve others who are unsupportive in the abortion decision having negative implications for their mental health.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".