To evaluate whether hairdressers have an increased risk of reproductive disorders, we conducted a historical cohort study in the Netherlands. Because exposure to reproduction toxic agents in hair salons may have changed over time, we studied two specific periods: conceptions in 1986-1988 and in 1991-1993. We ascertained 9,000 hairdressers and, as a comparison group, 9,000 clothing salesclerks from their respective trade associations. All were of reproductive age in the defined study periods. Frequency matching on 5-year age groups ensured comparability with regard to age. All women were approached by mail to complete a short, self-administered questionnaire on reproductive history, including questions on time-to-pregnancy, spontaneous abortion, livebirths, and congenital malformations. In the analyses, we used random effect models to account for correlated outcomes (multiple pregnancies per woman). The results show that hairdressers who conceived in 1986-1988 had an increased risk of prolonged time-to-pregnancy of more than 12 months [odds ratio (OR) = 1.5; 95% confidence interval (CI) = 0.8-1.6], spontaneous abortion (OR = 1.6; 95% CI = 1.0-2.4), and a low-birthweight infant (OR = 1.5; 95% CI = 0.7-3.1). In both periods, more major malformations occurred among children of hairdressers, but numbers were small. These results indicate an increase in reproductive risks for hairdressers in earlier years that now seems to be disappearing.
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http://dx.doi.org/10.1097/00001648-199707000-00008 | DOI Listing |
Proc Natl Acad Sci U S A
February 2025
Department of Obstetrics, Gynecology, and Women's Health, University of Missouri, Columbia, MO 65211.
Understanding how epithelial cells in the female reproductive tract (FRT) differentiate is crucial for reproductive health, yet the underlying mechanisms remain poorly defined. At birth, FRT epithelium is highly malleable, allowing differentiation into various epithelial types, but the regulatory pathways guiding these early cell fate decisions are unclear. Here, we use neonatal mouse endometrial organoids and assembloid coculture models to investigate how innate cellular plasticity and external mesenchymal signals influence epithelial differentiation.
View Article and Find Full Text PDFPLoS One
January 2025
Unit of Physiotherapy, Division of Prevention, Rehabilitation and Community Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Background: Musculoskeletal pain (MSKP) disorders entail a significant burden for individuals and healthcare systems. The PainSMART-strategy has been developed aiming to reduce divergences between patients and healthcare practitioners in their understanding of MSKP by providing a shared basis for communication and to facilitate patients' self-management of MSKP. The objective of the PainSMART-project is to evaluate the effects of the PainSMART-strategy as an adjunct to usual physiotherapy management compared to usual physiotherapy management alone.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Background: Anemia in pregnancy is an important public health challenge; however, it has not been thoroughly studied in Georgia. We assessed the prevalence of anemia during pregnancy across Georgia and the association between anemia in the third trimester of pregnancy and adverse maternal outcomes.
Methods: We used data from the Georgian Birth Registry and included pregnant women who delivered between January 1, 2019, and August 31, 2022 (n = 158,668).
PLoS One
January 2025
Department of Reproductive Medicine, Guangzhou Women and Children's Medical center Liuzhou Hospital, Liuzhou, Guangxi, China.
Endometrial cancer (UCEC) is the most prevalent gynecological malignancy in high-income countries, and its incidence is rising globally. Although early-stage UCEC can be treated with surgery, advanced cases have a poor prognosis, highlighting the need for effective molecular biomarkers to improve diagnosis and prognosis. In this study, we analyzed mRNA and miRNA sequencing data from UCEC tissues and adjacent non-cancerous tissues from the TCGA database.
View Article and Find Full Text PDFChaos
January 2025
Department of Mathematics, University of California, Los Angeles, California 90095, USA.
We study the spreading dynamics of content on networks. To do this, we use a model in which content spreads through a bounded-confidence mechanism. In a bounded-confidence model (BCM) of opinion dynamics, the agents of a network have continuous-valued opinions, which they adjust when they interact with agents whose opinions are sufficiently close to theirs.
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