scholarly journals Health Dynamics Through Psychometric Networks in Gynecology, Obstetrics, Reproductive Health And COVID-19 Research

2021 ◽  
Vol 5 (2) ◽  
Keyword(s):  
Network Analysis ◽  
Maternal Health ◽  
Reproductive Health ◽  
Clinical Importance ◽  
Complex Model ◽  
Model Systems ◽  
Health Conditions ◽  
Clinical Population ◽  
Concomitant Variables ◽  
Health Dynamics

Network analysis offers a valuable methodological and practical contribution to research in gynecology, obstetrics and reproductive health. This analysis enables clinicians to interpret and translate the information derived from their research into better integrated care in the clinical population of interest, allowing them to focus a concrete intervention based on network results, from the perspective of complex model systems. The evaluation of the network reinforces a better explanation of the functioning of various reproductive and maternal health conditions to explain how their etiological mechanisms and concomitant variables interact with each other, of major clinical importance in the current COVID-19 pandemic context.

scholarly journals Thirty Years of Human Rights Study in the Web of Science Database (1990–2020)

2021 ◽  
Vol 18 (4) ◽  
pp. 2131
Author(s):  
Priscilla Paola Severo ◽  
Leonardo B. Furstenau ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Human Rights ◽  
Network Analysis ◽  
Reproductive Health ◽  
Web Of Science ◽  
Health Issues ◽  
Human Beings ◽  
Field Of Study ◽  
The Web

The study of human rights (HR) is vital in order to enhance the development of human beings, but this field of study still needs to be better depicted and understood because violations of its core principles still frequently occur worldwide. In this study, our goal was to perform a bibliometric performance and network analysis (BPNA) to investigate the strategic themes, thematic evolution structure, and trends of HR found in the Web of Science (WoS) database from 1990 to June 2020. To do this, we included 25,542 articles in the SciMAT software for bibliometric analysis. The strategic diagram produced shows 23 themes, 12 of which are motor themes, the most important of which are discussed in this article. The thematic evolution structure presented the 21 most relevant themes of the 2011–2020 period. Our findings show that HR research is directly related to health issues, such as mental health, HIV, and reproductive health. We believe that the presented results and HR panorama presented have the potential to be used as a basis on which researchers in future works may enhance their decision making related to this field of study.

scholarly journals The Relationship of Maternal Health Conditions on the Utilization of Maternity Waiting Homes for Maternity Motherhood

2020 ◽  
Vol 2 (1) ◽  
pp. 220-230
Author(s):  
Zufrizal ◽  
Ida Yustina ◽  
Asfriyati
Keyword(s):  
Maternal Health ◽  
Health Conditions ◽  
Regional Government ◽  
Cross Sectional ◽  
Government Program ◽  
Maternity Waiting Homes ◽  
Cross Sectional Design ◽  
Relationship Of ◽  
The Relationship ◽  
North Sumatra

Maternity Waiting Homes is a regional government program that aims to reduce maternal mortality. But in reality, there are still many people who do not utilize this facility. The purpose of this study is to determine the relationship of maternal health conditions on the utilization of maternity waiting homes for maternity motherhood. This research is an explanatory survey research with cross sectional design. The study was conducted in Langkat Regency, North Sumatra. The results showed that there was a relationship between maternal health conditions and the utilization of the maternity waiting house for maternity motherhood in Langkat Regency (p = 0.027).

Linkages Among Reproductive Health, Maternal Health, and Perinatal Outcomes

2010 ◽  
Vol 34 (6) ◽  
pp. 434-445 ◽  
Author(s):  
Zulfiqar A. Bhutta ◽  
Zohra S. Lassi ◽  
Ann Blanc ◽  
France Donnay
Keyword(s):  
Maternal Health ◽  
Reproductive Health ◽  
Perinatal Outcomes

Strategies to improve maternal and reproductive health

2018 ◽  
pp. 126-132
Author(s):  
Address Malata ◽  
Jennifer Hall ◽  
Martha Kamanga
Keyword(s):  
Maternal Health ◽  
Reproductive Health ◽  
Healthcare Services ◽  
Maternal Health Services ◽  
Global Strategy ◽  
Fertility Rates ◽  
Quality Healthcare ◽  
Maternal Risk ◽  
Health Strategy

Many single interventions are available to enhance access to and quality of maternal health services but none alone can significantly reduce the rate of maternal mortality in a population. Factors such as rapid urbanisation, political unrest, changes in fertility rates, or growing numbers of institutional births, change the scenario of maternal risk and call for reappraisal of a country’s maternal health strategy and programme priorities. Strategies to improve maternal health, such as the Global Strategy for Women’s and Children’s Health, act as a roadmap to ensure that every woman and her newborn survive. It is vital to consider both the whole reproductive, maternal, neonatal, child, and adolescent health continuum of care, and all levels of healthcare, from community to tertiary settings to improve maternal health. Furthermore, women must be empowered to take decisions about their own health and access to quality healthcare services must be improved.

Revisiting the overlap between autistic and schizotypal traits in the non-clinical population using meta-analysis and network analysis

2019 ◽  
Vol 212 ◽  
pp. 6-14 ◽  
Author(s):  
Han-yu Zhou ◽  
Han-xue Yang ◽  
Jing-bo Gong ◽  
Eric F.C. Cheung ◽  
Diane C. Gooding ◽  
...  
Keyword(s):  
Network Analysis ◽  
Meta Analysis ◽  
Clinical Population

scholarly journals Network analysis in the legal domain: a complex model for European Union legal sources

2017 ◽  
Vol 6 (2) ◽  
pp. 243-268 ◽  
Author(s):  
Marios Koniaris ◽  
Ioannis Anagnostopoulos ◽  
Yannis Vassiliou
Keyword(s):  
European Union ◽  
Network Analysis ◽  
Complex Model ◽  
Legal Domain

Gene Co-Expression Network Analysis Implicates microRNA Processing in Parkinson’s Disease Pathogenesis

2018 ◽  
Vol 18 (4) ◽  
pp. 191-199 ◽  
Author(s):  
Jason A. Chen
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Network Analysis ◽  
Statistical Power ◽  
Association Studies ◽  
Model Systems ◽  
Specific Cell ◽  
Genome Wide Association Studies ◽  
Microrna Processing ◽  
Highly Correlated

Background: Recent advances in genetics have provided insights into important inherited causes of Parkinson’s disease (PD), but the underlying biological mechanisms are still incompletely understood. Gene expression studies have pointed toward the dysregulation of neuroinflammation, mitochondrial function, and protein degradation pathways. Objective: We aimed to identify groups of dysregulated genes in PD. Methods: In order to increase statistical power and control for potential confounders, we re-analyzed transcriptomic data from PD patients and model systems, integrating additional genomic data using a systems biology approach. Using weighted gene co-expression network analysis, we partitioned genes into co-expressed modules. Results: One co-expression module, M13, had an expression trajectory that was highly correlated with PD, was not characterized by any specific cell type markers, and was enriched in PD genes identified by genome-wide association studies. Genes within M13 seemed to be related to global microRNA biogenesis, and DICER1 and AGO3 were highly connected within the module. The NUCKS1 gene, previously identified as part of the PARK16 locus, was also a hub gene within M13. Conclusion: These results suggest that microRNA processing and function may play a role in the pathogenesis of PD, and thus may represent a useful target for future drug development.

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