{"title":"Pregnancy and cardiovascular disease in developing countries of South Asia-A narrative review.","authors":"Farhala Baloch, Alveena Zafar, Momina Faisal, Anoosha Marium, Lumaan Sheikh, Haleema Yasmin, Pamela Susan Douglas, Zainab Samad","doi":"10.1038/s44294-025-00101-y","DOIUrl":"10.1038/s44294-025-00101-y","url":null,"abstract":"<p><p>According to the World Health Organization, low-middle-income countries report higher maternal mortality rates in South Asia compared to higher-income countries. Pregnancy with cardiovascular diseases is a prominent contributor to these preventable deaths. Reasons behind poor maternal outcomes are multifactorial, including unstable healthcare systems, knowledge gaps, and sociocultural factors. This review discusses the concept of iceberg model, a tool for health system analysis to identify potential factors behind poor maternal outcomes.</p>","PeriodicalId":520241,"journal":{"name":"npj women's health","volume":"3 1","pages":"56"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12504106/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
npj women's healthPub Date : 2025-01-01Epub Date: 2025-09-22DOI: 10.1038/s44294-025-00100-z
Özlü Aran, Melissa Nevarez-Brewster, Kimberly D'Anna-Hernandez, Julia Dmitrieva, Curt A Sandman, Laura M Glynn, Elysia Poggi Davis
{"title":"Associations between individual and structural level discrimination and psychological and physiological stress indicators during pregnancy.","authors":"Özlü Aran, Melissa Nevarez-Brewster, Kimberly D'Anna-Hernandez, Julia Dmitrieva, Curt A Sandman, Laura M Glynn, Elysia Poggi Davis","doi":"10.1038/s44294-025-00100-z","DOIUrl":"10.1038/s44294-025-00100-z","url":null,"abstract":"<p><p>In the United States (U.S.) pervasive health disparities in prenatal care disproportionately impact marginalized individuals. The present study investigates whether discrimination at the individual and structural levels are associated with indicators of psychological and physiological stress among pregnant Latinx people living in the U.S., including both U.S. and foreign-born individuals. Pregnant participants (<i>n</i> = 109) reported on birthplace, lifetime experiences of racial and ethnic discrimination, perceived levels of stress, acculturation, social support, and provided residential address data and hair samples for cortisol analysis. Regression analysis revealed that individual level discrimination was linked to higher psychological stress during pregnancy (<i>p</i> = .003), and structural level discrimination was related to lower physiological stress (cortisol; <i>p</i> = .056). Notably, these associations varied by birthplace: U.S.-born individuals showed higher levels of psychological stress in response to individual level discrimination, while foreign-born individuals appeared more resilient to structural level discrimination. The results are discussed within the framework of immigrant health paradox.</p>","PeriodicalId":520241,"journal":{"name":"npj women's health","volume":"3 1","pages":"52"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12454116/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145139837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
npj women's healthPub Date : 2025-01-01Epub Date: 2025-01-30DOI: 10.1038/s44294-025-00053-3
Aparajita Kashyap, Maryam Aziz, Tony Y Sun, Sharon Lipsky Gorman, Jessica Opoku-Anane, Noémie Elhadad
{"title":"Investigating racial disparities in drug prescriptions for patients with endometriosis.","authors":"Aparajita Kashyap, Maryam Aziz, Tony Y Sun, Sharon Lipsky Gorman, Jessica Opoku-Anane, Noémie Elhadad","doi":"10.1038/s44294-025-00053-3","DOIUrl":"10.1038/s44294-025-00053-3","url":null,"abstract":"<p><p>We assess racial disparities in medication prescription patterns for endometriosis patients across Medicaid administrative claims data. We use ATC 3<sup>rd</sup> level drug codes to identify drug classes prescribed significantly more frequently for endometriosis patients than a comparison cohort of non-endometriosis patients. Temporal prevalence differences of prescriptions (pre- vs. post-diagnosis) were also examined. The endometriosis cohort comprised 16,372 endometriosis patients (23.3% Black, 66.0% White). Of the 28 drug classes examined, 17 were prescribed significantly less in Black patients and 4 were prescribed significantly more in Black patients. Of the 17 drugs prescribed more often in White patients, 13 have larger disparities pre-diagnosis than post-diagnosis. In the non-endometriosis cohort (<i>n</i> = 3,663,904), 21 drug classes were prescribed significantly more in White patients and 6 were prescribed significantly more in Black patients. Our analysis identifies disparities in prescriptions practices between White and Black endometriosis patients, notably in pain management and comorbidity treatment.</p>","PeriodicalId":520241,"journal":{"name":"npj women's health","volume":"3 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12442828/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
npj women's healthPub Date : 2025-01-01Epub Date: 2025-07-31DOI: 10.1038/s44294-025-00092-w
Diandra P Ojo, Cameron Celeste, Dion Ming, Ruogu Fang, Ivana K Parker
{"title":"Population-Level Predictive Variation in Machine Learning Diagnosis of Symptomatic Bacterial Vaginosis.","authors":"Diandra P Ojo, Cameron Celeste, Dion Ming, Ruogu Fang, Ivana K Parker","doi":"10.1038/s44294-025-00092-w","DOIUrl":"10.1038/s44294-025-00092-w","url":null,"abstract":"<p><p>Bacterial vaginosis (BV) is a prevalent vaginal syndrome, affecting millions of women globally. The complexity of the vaginal microbiome can challenge conventional diagnostic approaches, particularly for populations of women with healthy, yet diverse vaginal microbiomes. Advanced sequencing technologies coupled with machine learning (ML) offer promise in elucidating these complexities; however, ML models have been shown to be vulnerable to existing health disparities. To determine the ability of ML models to perform equitably, this study evaluates the performance of ML algorithms in predicting symptomatic BV across different ethnic groups using 16S rRNA sequencing data. Results indicate differential predictive performance across ethnicities, with models exhibiting lower accuracy for Black women. Moreover, we found variation in significant bacterial taxa for predicting BV by ethnicity. Future research aims to explore these factors and validate findings in larger, more diverse cohorts, with the goal of improving BV diagnosis and mitigating health disparities across ethnic groups.</p>","PeriodicalId":520241,"journal":{"name":"npj women's health","volume":"3 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13327730/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148379448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
npj women's healthPub Date : 2025-01-01Epub Date: 2025-10-07DOI: 10.1038/s44294-025-00107-6
Mahkameh Rasouli, Mohammad Feli, Iman Azimi, Shahab Haghayegh, Fatemeh Sarhaddi, Hannakaisa Niela-Vilen, Anna Axelin, Pasi Liljeberg, Amir M Rahmani
{"title":"Circadian rhythm of heart rate and heart rate variability in pregnancy.","authors":"Mahkameh Rasouli, Mohammad Feli, Iman Azimi, Shahab Haghayegh, Fatemeh Sarhaddi, Hannakaisa Niela-Vilen, Anna Axelin, Pasi Liljeberg, Amir M Rahmani","doi":"10.1038/s44294-025-00107-6","DOIUrl":"10.1038/s44294-025-00107-6","url":null,"abstract":"<p><p>The autonomic nervous system (ANS) regulates physiological changes during pregnancy, supporting fetal development and homeostasis. Heart rate (HR) and heart rate variability (HRV) are well-established, non-invasive biomarkers of ANS function. However, their circadian dynamics during pregnancy remain under-explored due to the lack of continuous data collection, a gap now addressed by wearable technology. This study is the first comprehensive investigation of HR and HRV circadian rhythms throughout pregnancy using wearable devices in a free-living setting. We extract longitudinal HR and HRV from smartwatch Photoplethysmography (PPG) data via a machine learning-based pipeline and employ Cosinor analysis to assess circadian rhythm characteristics. Our findings revealed significant HR and HRV circadian patterns over 16 weeks, showing a decline in HRV, an increase in HR rhythm-adjusted mean, and elevated nighttime stress linked to sleep disturbances and daytime fatigue. These results offer valuable insights into ANS regulation during pregnancy and highlight the potential of HR and HRV circadian rhythm parameters as biomarkers for pregnancy complications.</p>","PeriodicalId":520241,"journal":{"name":"npj women's health","volume":"3 1","pages":"57"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12504112/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}