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Women, Volume 4, Issue 2 (June 2024) – 2 articles

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14 pages, 898 KiB  
Systematic Review
Effects of Physical Activity on Quality of Life of Pregnant Women with Overweight or Obesity: A Systematic Review
by Diana Bernardo, Diana Rebelo Sousa, Ivo Henriques Ferreira, Carolina Bobadilla Agouborde, Francisco Soto-Rodriguez and Paula Clara Santos
Women 2024, 4(2), 130-143; https://doi.org/10.3390/women4020010 (registering DOI) - 24 Apr 2024
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Abstract
There is evidence that the quality of life and mental health of pregnant women change during pregnancy. To evaluate the impact of physical activity on the quality of life and mental health of pregnant women with obesity or overweight, a systematic review was [...] Read more.
There is evidence that the quality of life and mental health of pregnant women change during pregnancy. To evaluate the impact of physical activity on the quality of life and mental health of pregnant women with obesity or overweight, a systematic review was performed using six electronic databases (PubMed, Cochrane (CENTRAL), ScienceDirect, Scielo, BVS and PEDro). In total, 205 articles were collected, and after screening in accordance with the PRISMA declaration, six randomized clinical trials were selected. Methodological quality was assessed using the Cochrane RoB2 tool and a narrative synthesis of the results was performed. Physical activity interventions did not demonstrate statistically significant results on the quality of life and mental health of pregnant women with obesity or overweight. The effects of physical activity during pregnancy for women with obesity or overweight are varied due to the diversity of interventions implemented. Nonetheless, a discernible positive association emerges between stringent adherence to the prescribed physical activity regimen and enhanced physical well-being, weight management, and heightened aerobic capacity. In order to ascertain more definitive conclusions, rigorous clinical trials are needed that take into account the heterogeneity of interventions and ensure adequate adherence to the protocol. Full article
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14 pages, 250 KiB  
Review
Endogenous Hormones and Cognitive Decline in Women: Unveiling the Complex Interplay
by Anna Targonskaya, Karolina Wieczorek and Katherine Maslowski
Women 2024, 4(2), 116-129; https://doi.org/10.3390/women4020009 - 08 Apr 2024
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Abstract
This narrative review delves into the area of endogenous hormones and their impact on cognitive function, with a focus on women transitioning through perimenopause. While artificial intelligence technologies have revolutionized cognitive research, the inclusion of hormonal biomarkers remains sparse. The review synthesizes findings [...] Read more.
This narrative review delves into the area of endogenous hormones and their impact on cognitive function, with a focus on women transitioning through perimenopause. While artificial intelligence technologies have revolutionized cognitive research, the inclusion of hormonal biomarkers remains sparse. The review synthesizes findings from diverse studies exploring the relationships between estrogen, progesterone, testosterone, other sex hormones, and cognitive performance. The research question explores the potential for monitoring endogenous hormonal levels during perimenopause to predict cognitive decline and inform preventive strategies. An analysis of relevant studies reveals a complex relationship, with varying impacts on cognitive domains. Thus, high E2 levels correlate positively with verbal memory and retrieval efficiency, contrasting with lower levels associated with enhanced visual memory, and testosterone shows positive links to verbal fluency. The limitations of existing research, including heterogeneous methodologies and a dearth of premenopausal representation, emphasize the necessity for future studies. To achieve this objective, it is important to leverage data from studies implementing standardized methodologies for tracking endogenous hormonal levels while accounting for cycle phases and menopausal transition stages. Additionally, employing standardized assessments for cognitive decline and analyzing extensive datasets derived from real-world sources, such as hospital or outpatient clinic chains, and digital apps, is crucial. Full article
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