Reproductive coercion sometimes works: evaluating whether young African-American women who experience reproductive coercion or birth control sabotage are more likely to become pregnant.
Janet E RosenbaumRalph J DiClementePublished in: Health services & outcomes research methodology (2020)
Men engaging in reproductive coercion may coerce, force, or deceive female partners into pregnancy. This study evaluates whether the 3-month incidence of pregnancy is higher among women reporting reproductive coercion than similar women reporting no reproductive coercion. We tested this hypothesis in longitudinal data from a sample of African-American women ages 18-24 recruited from community settings in Atlanta, Georgia, US, in 2012-2014 (n = 560). Participants were surveyed at baseline, 3 months, 6 months, 9 months, and 12 months. To reduce selection bias, we used full matching on 22 baseline variables related to demographics, economic power, risky alcohol use, and gender-based power inequality. We used logistic regression in the matched sample with outcome pregnancy 3 months later, controlling for baseline fertility intentions (n = 482, n = 458, n = 452 at respectively 3, 6, 9 months). At 3 months, 15% of women reported reproductive coercion. At 6 months, 11.3% of women reporting coercion were pregnant vs. 4.6% of matched women reporting no coercion (p = 0.06). Women reporting coercion had 3 times the odds of pregnancy as matched women reporting no coercion (AOR 2.95, 95% CI (1.16, 6.98), p = 0.02). Among women pregnant after coercion, only 15% wanted to be pregnant then or sooner. Women reporting reproductive coercion are at greater risk of unwanted or mistimed pregnancies, and the semen exposure that caused these pregnancies could also transmit STI/HIV. Clinicians should screen patients for reproductive coercion; consider using semen exposure biomarkers such as PSA or Yc-PCR to identify condom sabotage or stealthing; and refer women experiencing reproductive coercion to supportive services.
Keyphrases
- pregnancy outcomes
- polycystic ovary syndrome
- cervical cancer screening
- african american
- healthcare
- adverse drug
- insulin resistance
- type diabetes
- newly diagnosed
- men who have sex with men
- chronic kidney disease
- adipose tissue
- primary care
- palliative care
- high throughput
- ejection fraction
- machine learning
- end stage renal disease
- young adults
- cross sectional
- electronic health record
- deep learning
- radical prostatectomy