The possibility that contraceptives are more likely to fail in obese patients is only one reason why you need to take a different tack when counseling them about their most appropriate birth control options. . .
. . . You need to advise them, too, that combination oral contraceptives (COCs) may put overweight or obese women at increased risk for both arterial and venous thromboembolic disease-as may certain other birth control methods. These concerns, combined with the ever-growing obesity epidemic among reproductive-aged American women, make it imperative for us to focus family planning efforts on our overweight patients.
Obese women are at higher risk of unintended pregnancy than their non-obese counterparts. Data from a study of more than 24,000 women, which examined the intendedness of pregnancy, contraceptive use, body weight, and BMI at the time of conception, suggested that overweight and obese women using contraception were more likely than non-obese women to unintentionally get pregnant.2 This difference wasn't seen in women who weren't using birth control at the time they conceived. These findings suggest that the overall effectiveness of contraceptives is decreased in overweight and obese women.
Chemoattractants in fetal membranes enhance leukocyte migration near term pregnancy
November 22nd 2024A recent study highlights the release of chemoattractants from human fetal membranes at term, driving leukocyte activation and migration, with implications for labor and postpartum recovery.
Read More
Reproductive genetic carrier screening: A tool for reproductive decision-making
November 22nd 2024A new study highlights the efficacy of couple-based reproductive genetic carrier screening in improving reproductive decisions and outcomes, emphasizing its growing availability and acceptance among diverse populations.
Read More
Early preterm birth risk linked to low PlGF levels during pregnancy screening
November 20th 2024New research highlights that low levels of placental growth factor during mid-pregnancy screening can effectively predict early preterm birth, offering a potential tool to enhance maternal and infant health outcomes.
Read More