The hormone profiles of nulliparous and parous women on day 11 of their menstrual cycle have been studied in an attempt to seek evidence for the hormonal basis of the protective effect of first birth on breast cancer risk. A previous publication reported that there were significantly lower (26%) early morning prolactin levels in parous women as compared to those levels in nulliparous women but that there were no differences in plasma and urinary estrogen levels. The present study shows, however, that parous women had significantly shorter cycle lengths than nulliparous women of the same age, and the data were reevaluated with this difference being taken into account. After adjustment for cycle length (within the range of 24-32 days) and age, estrogen levels were significantly lower (22%) in parous women compared to those in nulliparous women. Two further aspects of estrogen metabolism were measured in the plasma samples of these women: the binding capacity of sex hormone-binding globulin (SHBG) and the percentage of free estradiol (E2). SHBG levels were 12% higher in parous women, but there was no difference in percentage of free E2. In the previous publication it was suggested that the protective effect of first birth on breast cancer risk was mediated in part by permanently lowering prolactin levels. The current findings suggest that changes in estrogen metabolism also are a factor.
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Medicina (Kaunas)
December 2024
Department of Pharmacy, Kaohsiung Show Chwan Memorial Hospital, Kaohsiung 821, Taiwan.
: The relationship between pregnancy complications and the risk of gynecological and breast cancer remains inconclusive, with limited research available. This study aimed to determine whether pregnancy complications, including preeclampsia, gestational diabetes mellitus (GDM), large for gestational age (LGA), or intrauterine growth restriction (IUGR) are associated with the development of endometrial cancer (EC), ovarian cancer (OC), or breast cancer (BC). : This was a population-based case-control study linked to the National Health Insurance Research Database from 2008 to 2020, using ICD codes to identify parous gynecological cases (n = 6714).
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, Boston, MA, USA.
Background: Identifying risk factors for postpartum depression (PPD) is critical to inform early intervention efforts. This study investigated the impact of adverse perinatal events on PPD.
Methods: We analyzed data from the Pregnancy Study Online (PRESTO), a North American prospective preconception cohort study.
J Clin Med
December 2024
Health Services Vocational School, Ankara Medipol University, Ankara 06050, Türkiye.
: This study was aimed to identify the most effective machine learning (ML) algorithm for predicting preeclampsia based on sociodemographic and obstetric factors during the preconception period. : Data from pregnant women admitted to the obstetric clinic during their first trimester were analyzed, focusing on maternal age, body mass index (BMI), smoking status, history of diabetes mellitus, gestational diabetes mellitus, and mean arterial pressure. The women were grouped by whether they had a preeclampsia diagnosis and by whether they had one or two live births.
View Article and Find Full Text PDFAm J Reprod Immunol
January 2025
Department of Public Health, Faculty of Health Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Background: Preeclampsia is a severe, multisystem complication that affects 2%-5% of pregnancies, and is a leading cause of fetal and maternal morbidity and mortality worldwide. Preeclampsia may have devastating results on maternal health and may affect offspring's immediate and long-term health. Previous studies have examined the impact of maternal preeclampsia on the long-term health outcomes of offspring, many of these studies have been limited by confounding factors that could bias the results.
View Article and Find Full Text PDFJ Assoc Nurses AIDS Care
January 2025
Cho-Hee Shrader, PhD, MPH, is a Postdoctoral Research Scholar and MS Nursing Student, Arizona State University, College of Nursing and Health Innovation, Phoenix, Arizona, USA.
Adolescent girls and young women ages 15-29 years (AGYW) living in Lesotho experience a disproportionate HIV burden. Using a household-based national survey in Lesotho, we conducted a three-step latent class analysis to identify typologies of AGYW most vulnerable to HIV infection. We first classified AGYW into HIV vulnerability groups based on self-reported sexual behaviors, then identified associations between typology and HIV diagnosis.
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