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Background: The COVID-19 pandemic affected access to healthcare and social support. This especially impacted vulnerable populations like pregnant and postpartum women.
Purpose: The specific aims of the project are the following: (1) examine the impact of COVID-19 on pregnancy experiences and outcomes; (2) examine the mental health impact of COVID-19 in pregnant women and mothers of children 12 months or younger; (3) identify risk and protective factors among this population in Puerto Rico.
Methods: Participants were recruited from the Puerto Rico Testsite for Exploring Contamination Threats (PROTECT) cohort, which is composed of pregnant women and mothers from the northern karst region of Puerto Rico. This research has a mixed methods approach with a quantitative survey (n = 184) and qualitative interviews (n = 10); data collection was performed remotely.
Findings: Results from the survey (n = 184) show that 20% of the cohort gave birth alone, 39% were separated from their baby after birth, 21% experienced isolation before birth, and 20% were separated after birth. In the study, 54% of the women were very worried about giving COVID-19 to their baby and avoided going out, receiving visits, and even canceling baby showers. The most reported sources of stress were their health status, work situation, and childcare, while the most reported coping mechanisms were watching TV or playing video games, using social media, and talking with loved ones. Forty-two percent reported that they frequently stopped enjoying activities that used to make them happy, and only 21% considered seeking mental health support.
Conclusion: COVID-19 restrictions changed initial plans for baby showers, births, and childcare, and impacted the participants' mental health. Physical distance measures have resulted in isolation and stress. We expect these findings to lead to developing interventions for community health centers and parents/caretakers in Puerto Rico.
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http://dx.doi.org/10.3390/ijerph22020141 | DOI Listing |
Int J Dent
August 2025
Department of Prosthodontics, The University of Iowa College of Dentistry and Dental Clinics, Iowa City 52242, Iowa, USA.
This study investigates light transmission through five types of computer-aided design/computer-aided manufacturing (CAD/CAM) lithium disilicate ceramics, varying in thickness (0.50, 1.00, and 1.
View Article and Find Full Text PDFAm J Physiol Regul Integr Comp Physiol
September 2025
National Aplysia Resource. Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Key Biscayne, FL, USA.
Current therapeutics for hypoxic/ischemic brain damage can benefit from insights resulting from the study of hypoxia/anoxia resistant organisms. Hypoxia resistance, however, is not a common feature in mammalian models. Being naturally exposed to hypoxic/anoxic conditions, the sea hare could become a very useful model for the study of hypoxia resistance.
View Article and Find Full Text PDFMar Life Sci Technol
August 2025
Department of Marine Sciences, University of Puerto Rico at Mayagüez, P.O. Box 9000, Mayagüez, PR 00681 USA.
Unlabelled: The queen snapper ( Valenciennes in Cuvier & Valenciennes, 1828) is a deep-sea snapper whose commercial importance continues to increase in the US Caribbean. However, little is known about the biology and ecology of this species. In this study, the presence of a fine-scale population structure and genetic diversity of queen snapper from Puerto Rico was assessed through 16,188 SNPs derived from the Restriction site Associated DNA Sequencing (RAD-Seq) technique.
View Article and Find Full Text PDFBioscience
September 2025
School of the Environment, Centre for Biodiversity and Conservation Science of the University of Queensland, Commonwealth Scientific and Industrial Research Organization, Environment, Brisbane, Queensland, Austalia.
Plankton, a diverse group of aquatic organisms, make Earth livable, regulate aquatic life, and provide benefits to human societies such as access to clean water, food security, and well-being. They also support economies and inspire biotechnological innovations. This article aims to raise awareness of the value of plankton to humanity and serves as an informative guide for aquatic professionals, policymakers, and anyone interested in plankton.
View Article and Find Full Text PDFFront Artif Intell
August 2025
Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain.
Introduction: The rapid expansion of generated data through social networks has introduced significant challenges, which underscores the need for advanced methods to analyze and interpret these complex systems. Deep learning has emerged as an effective approach, offering robust capabilities to process large datasets, and uncover intricate relationships and patterns.
Methods: In this systematic literature review, we explore research conducted over the past decade, focusing on the use of deep learning techniques for community detection in social networks.