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Unwanted abortion disclosure and social support in the abortion decision and mental health symptoms: A cross-sectional survey

2022· article· en· W4307958115 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueContraception · 2022
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
FundersClinical and Translational Science Institute, University of California, San FranciscoEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentOffice of Research on Women's HealthNational Institute of Child Health and Human DevelopmentClinical and Translational Science Institute, University of FloridaUniversity of California, San Francisco
KeywordsAbortionMedicineAnxietyDepression (economics)PsychiatrySocial supportConfidence intervalCross-sectional studyQuarter (Canadian coin)PregnancyDemographyFamily medicinePsychologySocial psychologyInternal medicine

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.355
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it