Amizade e deficiência: análise das redes de conhecimento / Friendship and disability: An analysis of knowledge networks

Resumo Introdução: A amizade influencia positivamente o desenvolvimento humano. Todavia, pessoas com deficiencia enfrentam dificuldades para construir e manter esse vínculo. Este estudo objetiva explorar e analisar as redes de conhecimento da literatura sobre amizade e deficiencia de 2017 a 2022. Método: Utilizando critérios Prisma, a busca foi realizada nas bases de dados Scopus e Web of Science. Os softwares VOSviewer e Pajek foram usados para construir e analisar as redes. Resultados: Foram analisados 68 artigos. Os Estados Unidos lideram em publicaçoes, entretanto o Reino Unido é mais influente na rede. As principais investigaçoes na área sao: transtorno do espectro autista, deficiencia intelectual, inclusao social, habilidades sociais e violencia contra a pessoa com deficiencia. Documentos influentes abordam análise temática em psicologia, amizade de pessoas com transtorno do espectro autista e deficiencia intelectual. Conclusões: Os mapas de conhecimento e análise de redes ajudam a explorar a literatura, o que permite compreender tendencias, estrutura intelectual base e correlações científicas.

Abstract Introduction: Friendship positively influences human development. However, people with disabilities face difficulties in building and maintaining this bond. This study aims to explore and analyze the knowledge networks in the literature on friendship and disabilities from 2017 to 2022. Method: Using PRISMA criteria, the search was conducted in the Scopus and Web of Science databases. VOSviewer and Pajek software were used to construct and analyze the networks. Results: Sixty-eight articles were analyzed. The United States leads in publications, but the United Kingdom is more influential in the network. The main research areas are autism spectrum disorder, intellectual disability, social inclusion, social skills, and violence against people with disabilities. Influential documents address thematic analysis in psychology, and friendship among individuals with autism spectrum disorder and intellectual disability. Conclusions: Knowledge maps and network analysis help explore the literature, allowing an understanding of trends, the foundational intellectual structure, and scientific correlations.

Network analysis of subjective happiness, hope and resilience in the Paraguayan general population during the post-COVID-19 pandemic period / Análisis en red de felicidad subjetiva, esperanza y resiliencia en la población general paraguaya en la pospandemia del COVID-19

Abstract Introduction/objective: In this cross-sectional study, the connections between indicators of subjective happiness, hope, and resilience were investigated in 591 adult Paraguayans (average age 37.7 years; SD = 11.35) during the COVID-19 post-pandemic period, using network analysis for the first time. Method: The indicators of subjective happiness, hope, and resilience were assessed using the Subjective Happiness Scale, the Adult Hope Scale, and the 10-item Connor-Davidson Resilience Scale, respectively. Result: The results indicated that "Enjoy life in spite of it all," "Pursuing goals," and "Coping with stress" were the most central indicators of the resilience, hope, and subjective happiness network. While stronger conditional relationships were observed between indicators of the same network variable, potential bridge indicators were also noted that could link resilience, hope, and subjective happiness, such as "I am a strong person," "Enjoy life in spite of it all," "Pursuing goals," and "I have been successful in life." Conclusions: The results suggest that timely and multilevel interventions targeted at central and bridge indicators can help promote positive emotions that impact mental health.

Resumen Introducción/objetivo: En este estudio transversal se investigaron las conexiones entre los indicadores de felicidad subjetiva, esperanza y resiliencia en 591 paraguayos adultos (edad promedio 37.7 años; DE = 11.35) en el período pospandemia del COVID-19 utilizando análisis de redes por primera vez. Método: Los indicadores de felicidad subjetiva, esperanza y resiliencia se evaluaron utilizando la Escala de Felicidad Subjetiva, la Escala de Esperanza del Adulto y la Escala de Resiliencia de Connor-Davidson de 10 ítems, respectivamente. Resultados: Los resultados indicaron que "Disfrutar la vida a pesar de todo", "Perseguir metas" y "Afrontar el estrés" fueron los indicadores más centrales de la red de resiliencia, esperanza y felicidad subjetiva. Si bien se observaron relaciones condicionales más fuertes entre indicadores de la misma variable de red, también se observaron posibles indicadores puente que podrían vincular la resiliencia, la esperanza y la felicidad subjetiva, como "Soy una persona fuerte", "Disfruta la vida a pesar de todo", "Persiguiendo metas" y "He tenido éxito en la vida". Conclusiones: Los resultados sugieren que las intervenciones oportunas y multinivel dirigidas a indicadores centrales y puente pueden ayudar a promover emociones positivas que impacten la salud mental.

Symptoms of depression and lifestyle in adolescents: A network analysis.

PURPOSE: Life experiences that could either promote or attenuate depression have primarily been studied in adults. Therefore, we investigated the association between lifestyle factors and symptoms of depression in adolescents. DESIGN AND SETTING: A cross-sectional study was carried out in Brazilians. SUBJECTS: Data from 93 individuals were analyzed out of the 150 invited participants (age 14.2±1.8, 67.74% girls). MEASURES: Lifestyle habits (SMILE-C), physical activity and sitting time (IPAQ), as well as symptoms of depression (DASS-21) were evaluated. ANALYSIS: A network analysis was performed using the EBIC-LASSO model, with the expected influence as a centrality parameter. RESULTS: The lifestyle domains with the highest expected influence were diet and nutrition (1.423), walking (1.126) and Stress Management (1.015). The variables with the highest direct partial negative correlation with depression were social support (-0.307) and moderate-vigorous physical activity (-0.244), suggesting a bidirectional relationship between these variables with lower symptoms of depression. CONCLUSION: Specific lifestyle areas such as social support, physical activity and nutrition appear to impact other healthy habits while reducing teen depressive symptoms.

Exploring the landscape of adult autism research in psychology: a bibliometric and network analysis.

The global prevalence of autism spectrum disorder (ASD) is increasing. ASD manifests with persistent social communication and interaction challenges, limited interests, and repetitive behaviors. As the scientific literature on ASD in adults varies greatly, mapping the recent global research becomes valuable for enhancing comprehension of this subject. This study aims to map recent global scientific publications on ASD in adults. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, bibliometrics, and network analyses, we assessed 850 articles indexed in the Web of Science Core Collection between 2013 and 2022 assigned to the research area of psychology. Findings indicate an annual average growth of 11.69%. Key keywords include Emotion, Anxiety, and Depression, with Anxiety, Depression, and Mental Health as central nodes in the network. Rehabilitation, Behavioral Sciences, and Psychiatry frequently co-occur, and Psychology, Psychiatry, and 'Neurosciences and Neurology' are central nodes in the network of research areas. The United States of America and the United Kingdom lead in publications, with the United Kingdom being the most central country in the network. King's College London and the University of California are the main research organizations, with King's College London as the central node in the network. The American Psychiatric Association's DSM-5-TR was the most cited reference in the period. This comprehensive analysis contributes to understanding the landscape of ASD research in adults, providing insights for future research and fostering collaborations.

Role of self-criticism in postpartum mental health: a network analysis.

PURPOSE: A significant percentage of women experience psychopathological symptoms during the postpartum period, which can impact not only their mental health and well-being but also the relationship between mother and baby. However, studies investigating how specific psychological factors, such as self-compassion and self-criticism, contribute to the development and maintenance of these symptoms are scarce. METHODS: This cross-sectional study aimed to examine the relationship among compassionate self-responding (CSR), uncompassionate self-responding (USR), maternal mental health indicators, mother-infant bonding, and the perceived impact of the COVID-19 pandemic. Data were collected online from 189 Brazilian women with infants aged 0 to 12 months. Participants completed measures of sociodemographic characteristics, Self-Compassion Scale (SCS), Edinburgh Postnatal Depression Scale (EPDS), Postpartum Specific Anxiety Scale (PSAS-BR-RSF-C), Postpartum Bonding Questionnaire (PBQ), and COVID-19-Impact on Quality of Life (COV19-QoL). RESULTS: Through network analysis, our findings highlighted that postpartum depression played a central role in the structuring of variables in this system. Furthermore, USR, instead of CSR, emerged as the variable most strongly associated with levels of postpartum depression, which, in turn, was associated with mother-infant bonding. CONCLUSION: Mitigating levels of self-criticism in mothers may represent a pathway to prevent the development of postpartum depression, which, in turn, could impact the quality of the mother-infant relationship. Given the significance of the child's early years for their emotional development, intervening early in maternal mental health may be a means to prevent mental disorders in the child as well.

A bibliometric review of waste management and innovation: Unveiling trends, knowledge structure and emerging research fronts.

The pressing challenges in waste management have motivated this comprehensive study examining prior research and contemporary trends concerning innovation and waste management. A meticulous investigation of 2264 documents (1968-2024) was conducted using bibliometrix R-tool to analyse Scopus and Web of Science databases, offering a holistic global perspective. Heightened societal concern about waste management, driven by soaring waste production from consumption patterns, requires urgent exploration of effective waste elimination and transformation systems. This study provides a comprehensive summary of the topic, delving deeply into its complexities. Through thorough analysis of global trends, it constitutes a significant stride towards identifying effective solutions, offering valuable contributions to both scientific understanding and practical applications. This research pioneers a comprehensive synthesis of innovation and waste management issues, showcasing originality and substantial contributions. The identified collaborative networks expose a lack of transnational cooperation, potentially hindering waste management innovation. Future research around waste management innovation should focus on synergies among competitors within the same industry and across industries to minimize waste and maximize resource utilization, 4.0 technologies, global waste chain impacts and challenges along with solutions for developing countries.

Integrative genome-centric metagenomics for surface water surveillance: Elucidating microbiomes, antimicrobial resistance, and their associations.

Surface water ecosystems are intimately intertwined with anthropogenic activities and have significant public health implications as primary sources of irrigation water in agricultural production. Our extensive metagenomic analysis examined 404 surface water samples from four different geological regions in Chile and Brazil, spanning irrigation canals (n = 135), rivers (n = 121), creeks (n = 74), reservoirs (n = 66), and ponds (n = 8). Overall, 50.25 % of the surface water samples contained at least one of the pathogenic or contaminant bacterial genera (Salmonella: 29.21 %; Listeria: 6.19 %; Escherichia: 35.64 %). Furthermore, a total of 1,582 antimicrobial resistance (AMR) gene clusters encoding resistance to 25 antimicrobial classes were identified, with samples from Brazil exhibiting an elevated AMR burden. Samples from stagnant water sources were characterized by dominant Cyanobacteriota populations, resulting in significantly reduced biodiversity and more uniform community compositions. A significant association between taxonomic composition and the resistome was supported by a Procrustes analysis (p < 0.001). Notably, regional signatures were observed regarding the taxonomic and resistome profiles, as samples from the same region clustered together on both ordinates. Additionally, network analysis illuminated the intricate links between taxonomy and AMR at the contig level. Our deep sequencing efforts not only mapped the microbial landscape but also expanded the genomic catalog with newly characterized metagenome-assembled genomes (MAGs), boosting the classification of reads by 12.85 %. In conclusion, this study underscores the value of metagenomic approaches in surveillance of surface waters, enhancing our understanding of microbial and AMR dynamics with far-reaching public health and ecological ramifications.

Leveraging Social Networks to Integrate Depression Treatment into Primary Health and Tuberculosis Care in Brazil.

Background: Tuberculosis (TB) and depression are highly comorbid and linked to higher rates of death and disability. Several evidence-based treatments for depression have been successfully implemented in low- and middle-income countries, but more knowledge is needed on how to bring these innovations to scale within complex 'real world' public health systems. Objective: To explore whether the principles of social network analysis could be used to enhance receptivity to integrating depression treatment into primary care for individuals with and without TB in Brazil. Methods: We used existing scales to identify settings and providers with high receptivity and connectivity within the primary care network. We trained and supervised existing staff in three primary care sites to deliver a brief evidence-based intervention over one year, coupled with active dissemination activities. Afterwards, we reassessed receptivity among individuals involved, and not involved, in the pilot. Results: Highly significant changes were observed in mental health literacy, attitudes towards evidence-based practices, work self-efficacy, and implementation leadership supporting our hypothesis. Limited social connections between primary care clinics precluded the examination of the hypothesis that targeting settings with high connectivity could capitalize on the information flow between and transcend the decentralized structure of the network, but leveraging the centralized nature of the TB program to integrate mental health services emerged as a promising alternative. Conclusions: The findings of this study strongly suggest that social networks may be leveraged to change individual providers' attitudes, thereby contributing to the enhanced dissemination of evidence-based interventions.

Do Adolescents Adopt the Prosocial Behaviors of the Classmates They Like? A Social Network Analysis on Prosocial Contagion.

While the influence of high-status peers on maladaptive behaviors is well-documented, socialization processes of prosocial behavior through high-status peers remain understudied. This study examined whether adolescents' prosocial behavior was influenced by the prosocial behavior of the peers they liked and whether this effect was stronger when the peers they liked were also well-liked by their classmates. Three waves of data, six months apart, were collected among Chilean early adolescents who completed peer nominations and ratings at Time 1 (n = 294, Mage = 13.29, SD = 0.62; 55.1% male), Time 2 (n = 282), and Time 3 (n = 275). Longitudinal social network analyses showed that adolescents adopted the prosocial behavior of the classmates they liked - especially if these classmates were well-liked by peers in general. In addition, adolescents low in likeability were more susceptible to this influence than adolescents high in likeability. The influence resulted both in increases and - especially - decreases in prosocial behavior, depending on the level of prosociality of the liked peer. Findings suggest that likeability represents an important aspect of peer status that may be crucial for understanding the significance of peer influence with respect to prosocial behaviors during adolescence. Pre-Registration: https://osf.io/u4pxm .

Mapping of the network connection between sleep quality symptoms, depression, generalized anxiety, and burnout in the general population of Peru and El Salvador.

BACKGROUND: A meta-analysis of randomized controlled trials has suggested a bidirectional relationship between sleep problems and mental health issues. Despite these findings, there is limited conclusive evidence on the relationship between sleep quality, depression, anxiety, and burnout. OBJECTIVE: The current study aimed to evaluate the relationships between sleep quality symptoms, anxiety, depression, and burnout in samples of adult individuals from two Latin American countries, Peru and El Salvador, through network analysis and to identify key symptoms that reinforce the correlation and intensify the syndromes. METHODS: A total of 1012 individuals from El Salvador and Peru participated, with an average age of 26.5 years (SD = 9.1). Symptom networks were constructed for both countries based on data from the Jenkins Sleep Scale, Patient Health Questionnaire-2, General Anxiety Disorder-2, and a single burnout item. RESULTS: The results indicated that Depressed Mood, Difficulty Falling Asleep, and Nervousness were the most central symptoms in a network in the participating countries. The strongest conditional associations were found between symptoms belonging to the same construct, which were similar in both countries. Thus, there is a relationship between Nervousness and Uncontrollable Worry, Anhedonia and Depressed Mood, and Nighttime Awakenings and Difficulty in Staying Asleep. It was observed that burnout is a bridge symptom between both countries and presents stronger conditional associations with Tiredness on Awakening, Depressed Mood, and Uncontrollable Worry. Other bridge symptoms include a Depressed Mood and Nervousness. The network structure did not differ between the participants from Peru and El Salvador. CONCLUSION: The networks formed by sleep quality, anxiety, depression, and burnout symptoms play a prominent role in the comorbidity of mental health problems among the general populations of Peru and El Salvador. The symptom-based analytical approach highlights the different diagnostic weights of these symptoms. Treatments or interventions should focus on identifying central and bridge symptoms.

Analysis of the Formation of Scientific Communities in the Journal Research and Education in Nursing (2010 - 2020) and its Disciplinary Influence: an Approach from Bibliometric Analysis, Network Analysis, and Natural Language Processing.

Objective: This work sought to identify the academic communities that have shown interest and participation in the Journal Research and Education in Nursing and analyze the scientific impact generated by said journal. Methods: A bibliometric analysis was carried out, as well as social network analysis and techniques of natural language processing to conduct the research. The data was gathered and analyzed during a specific study period, covering from 2010 - 2020, for articles published in the journal, and 2010 - 2022, for articles that cited the journal within Scopus. These methods permitted performing an exhaustive evaluation of the journal's influence and reach in diverse academic and geographic contexts. Results: During the analysis, it was noted that the journal Research and Education in Nursing has had significant influence in academic and scientific communities, both nationally and internationally. Collaboration networks were detected among diverse institutions and countries, which indicates active interaction in the field of nursing research. In addition, trends and emerging patterns were identified in this field, providing a more complete view of the discipline's evolution. Conclusion: Based on the results obtained, it is concluded that the journal Research and Education in Nursing has played un fundamental role in disseminating knowledge and promoting research in nursing. The combination of Bibliometric metrics, social network analysis, and natural language processing permitted utmost comprehension of its impact in the scientific and academic community globally.

Analysis of the Formation of Scientific Communities in the Journal Research and Education in Nursing (2010 - 2020) and its Disciplinary Influence: an Approach from Bibliometric Analysis, Network Analysis, and Natural Language Processing / Análisis de la formación de comunidades científicas en la revista Investigación y Educación en Enfermería(2010-2020) y su influencia disciplinar: Un enfoque desde el análisis bibliométrico, análisis de redes y procesamiento de lenguaje natural / Análise da formação de comunidades científicas na revista Nursing Research and Education (2010-2020) e sua influência disciplinar: Uma abordagem a partir da análise bibliométrica, análise de redes e processamento de linguagem natural

Objectives. This work sought to identify the academic communities that have shown interest and participation in the Journal Research and Education in Nursing and analyze the scientific impact generated by said journal. Methods. A bibliometric analysis was carried out, as well as social network analysis and techniques of natural language processing to conduct the research. The data was gathered and analyzed during a specific study period, covering from 2010 - 2020, for articles published in the journal, and 2010 - 2022, for articles that cited the journal within Scopus. These methods permitted performing an exhaustive evaluation of the journal's influence and reach in diverse academic and geographic contexts. Results. During the analysis, it was noted that the journal Research and Education in Nursing has had significant influence in academic and scientific communities, both nationally and internationally. Collaboration networks were detected among diverse institutions and countries, which indicates active interaction in the field of nursing research. In addition, trends and emerging patterns were identified in this field, providing a more complete view of the discipline's evolution. Conclusion. Based on the results obtained, it is concluded that the journal Research and Education in Nursing has played un fundamental role in disseminating knowledge and promoting research in nursing. The combination of Bibliometric metrics, social network analysis, and natural language processing permitted utmost comprehension of its impact in the scientific and academic community globally.

Objetivos. Identificar las comunidades académicas que han mostrado interés y participación en la revista Investigación y Educación en Enfermería y analizar el impacto científico generado por esta publicación. Métodos. Se realizó un análisis bibliométrico, así como análisis de redes sociales y técnicas de procesamiento de lenguaje natural para llevar a cabo la investigación. Los datos se recopilaron y analizaron durante un período de estudio específico, abarcando los años 2010-2020, para los artículos publicados en la revista, y 2010-2022, para los artículos que citaron la revista dentro de Scopus. Estos métodos permitieron realizar una evaluación exhaustiva de la influencia y alcance de la revista en diversos contextos académicos y geográficos. Resultados. Durante el análisis, se observó que la revista Investigación y Educación en Enfermería ha ejercido una influencia significativa en las comunidades académicas y científicas, tanto a nivel nacional como internacional. Se detectaron redes de colaboración entre diversas instituciones y países, lo que indica una interacción activa en el ámbito de la investigación en enfermería. Además, se identificaron tendencias y patrones emergentes en este campo, proporcionando una visión más completa de la evolución de la disciplina. Conclusión. Basándose en los resultados obtenidos, se concluye que la revista Investigación y Educación en Enfermería ha desempeñado un papel fundamental en la difusión del conocimiento y la promoción de la investigación en enfermería. La combinación de métricas bibliométricas, análisis de redes sociales y procesamiento de lenguaje natural permitió una comprensión más completa de su impacto en la comunidad científica y académica a nivel global.

Objetivos. Identificar as comunidades acadêmicas que demonstraram interesse e participação na revista Nursing Research and Education e analisar o impacto científico gerado por esta publicação colombiana. Métodos. Foi realizada análise bibliométrica, análise de redes sociais e técnicas de processamento de linguagem natural para a realização da pesquisa. Os dados foram coletados e analisados durante um período específico de estudo, abrangendo os anos 2010-2020, para artigos publicados na revista, e 2010-2022, para artigos que citaram a revista dentro do Scopus. Esses métodos permitiram uma avaliação abrangente da influência e do alcance da revista em diversos contextos acadêmicos e geográficos. Resultados. Durante a análise, observou-se que a revista Nursing Research and Education tem exercido influência significativa nas comunidades acadêmica e científica, tanto nacional quanto internacionalmente. Foram detectadas redes de colaboração entre diversas instituições e países, o que indica interação ativa no campo da pesquisa em enfermagem. Além disso, foram identificadas tendências e padrões emergentes neste campo, proporcionando uma visão mais completa da evolução da disciplina. Conclusão. Com base nos resultados obtidos, conclui-se que a revista Nursing Research and Education tem desempenhado um papel fundamental na divulgação do conhecimento e na promoção da investigação em enfermagem. A combinação de métricas bibliométricas, análise de redes sociais e processamento de linguagem natural permitiu uma compreensão mais completa do seu impacto na comunidade científica e académica global.

Sex differences in entrapment in a multinational sample: a network analysis perspective.

Background: The concept of entrapment has been highlighted as a transdiagnostic element that manifests itself in disorders such as depression, anxiety, and suicidal ideation. Although research has been conducted in different contexts independently, a comprehensive multi-country study to assess gender differences in entrapment through network analysis has not yet been carried out. The objective of this study was to evaluate the entrapment network in men and women at the multinational level. Methods: A sample of 2,949 participants, ranging in age from 18 to 73 years from six countries (Germany, Iran, Spain, Slovakia, El Salvador, and Peru), was considered. They completed the entrapment scale. A network analysis was performed for both men and women to identify the connectivity between indicators and the formation of clusters and domains, in addition to the centrality assessment in both sex groups. Results: The study findings revealed the presence of a third domain focused on external interpersonal entrapment in the network of men and women. However, in relation to the interconnectivity between domains, variations were evidenced in both networks, as well as in centrality, it was reported that men present a greater generalized entrapment in various aspects of life, while women tend to experience a more focused entrapment in expressions of intense emotional charge. Conclusion: The multinational study identified variations in the structure of entrapment between genders, with three domains (internal, external, and external-interpersonal) and differences in the interaction of indicators and groupings, as well as discrepancies in centrality.

Problem-Based Learning in Medical Education: A Global Research Landscape of the Last Ten Years (2013-2022).

Background: Problem-based learning (PBL) constructs a curriculum that merges theory and practice by employing clinical scenarios or real-world problems. Originally designed for the pre-clinical phase of undergraduate medicine, PBL has since been integrated into diverse aspects of medical education. Therefore, this study aims to map the global scientific landscape related to PBL in medical education in the last ten years. Methods: We combined bibliometrics and network analysis to analyze the metadata of related research articles published between 2013 and 2022 and indexed in the Web of Science Core Collection. Results: Our results show an annual publication rate of 9.42%. The two main journals disseminating research on this subject are BMC Medical Education and Medical Teacher. Education & Educational Research and Health Care Sciences & Services are the two most frequent research areas, and also the two most central nodes of the related network. The USA and China are the most publishing countries, while the Netherlands and Canada are the most collaborative. The Maastricht University holds the position of most publishing and collaborative research organization. The University of California ranks second in publications, while the University of Toronto is the second most central research organization. Conclusions: Our study provides an overview of the last ten years of publications related to PBL and medical education, and we hope it can be of interest to educators, researchers, and students involved with this subject. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-024-02003-1.

Technical-scientific production and knowledge networks about medicinal plants and herbal medicines in the Amazon.

Introduction: This paper explores the role of Brazilian research institutions in the global and national context of study of medicinal plants. Most of these plants have ethnopharmacological use and herbal medicines related to the Amazon. It highlights Brazil's position in scientific production and the importance of Amazonian resources in developing phytomedicines. The study aims to provide an overview of the technical-scientific production of medicinal plants and herbal medicines related to the Amazon, focusing on scientific impact, collaboration, Technology Readiness Level (TRL) of scientific production, and innovation system maturity. Methods: The study employs a comprehensive methodological approach, including data collection from Scopus covering the period from 2002 to 2022. The data was cleaned and analyzed using bibliometric and network analysis techniques. Advanced natural language processing techniques, such as Latent Dirichlet Allocation and Jaccard distance measure, were used for TRL classification. Results: The findings reveal a predominant contribution from Brazilian institutions and authors, with 1,850 publications analyzed. Key areas identified include Pharmacology, Toxicology, Pharmaceuticals, Medicine, and Biochemistry. The study also uncovers various collaborative networks and technological maturity levels, with a significant focus on early-stage development phases. Discussion: The research concludes that Brazilian institutions, particularly those in the Amazon region, play a significant role in the scientific exploration and development of medicinal plants and herbal medicines. Despite this, countries like the USA were proportionally more productive in clinical trial research. The study underscores the potential of Brazil's rich biodiversity and traditional knowledge in the pharmaceutical industry, particularly for neglected diseases. It suggests the need for stronger research systems and international collaboration to leverage these resources for global health benefits.

Mapping social movements momentum: unveiling networks in the movement for the right to abortion in Mexico.

In this case study, we propose a network analysis approach to map social movements through an intersectional feminist lens. We aim to gain a more in-depth understanding of movements' network structures to examine the roles and relationships of movement actors, the flow of resources between them, and potential areas of collaboration and conflict. By incorporating Social Network Analysis (SNA) techniques and visually mapping dynamics within social movements, this approach can assess the significance of small actors in creating change and stresses the need for their perspectives to be heard. Furthermore, our methodology adopts a feminist intersectional framework that recognizes the role of different identities in shaping the movement and its actors. To demonstrate the practical application of this approach, we examined the movement for the right to abortion in Mexico between September and December 2021. Our multi-step process included (1) designing a survey tool adapted to the context of the movement, (2) collecting and analyzing survey responses on movement actors' relationships and interactions, including their priorities, activities, needs, risks, and challenges, (3) visualizing the network using SNA techniques that account for the complexity and diversity of the movement, (4) interpreting the findings through insights collected in semi-structured interviews and validation meetings with key movement actors, and (5) implementing safety and security guidelines to safeguard the identity of individuals whose activities could put them at risk of suffering institutional, emotional, and physical violence. Our case study offers valuable insights that not only encourage the integration of feminist and intersectional perspectives into data collection processes but also provide a roadmap for accompanying social movements and supporting meaningful and contextually responsive activities.

Depresión según identidad étnica en población peruana: un estudio nacional mediante análisis de redes / Depression According to Ethnic Identity in Peruvian Population: A National Study Using Network Analysis

Resumen El objetivo principal de este estudio fue examinar la dinámica de los síntomas depresivos en población peruana según identidad étnica, y encontrar el síntoma central mediante análisis de redes. Para ello, se analizó la base de datos de la Encuesta Demográfica y de Salud Familiar (ENDES), 2020. La muestra fue aleatoria y estuvo conformada por 32 634 participantes, a quienes se les administró el Patient Health Questionnaire 9. Se realizó un análisis de redes para conocer los síntomas centrales de la depresión de acuerdo con su identidad étnica. Los hallazgos señalaron que, en todos los grupos étnicos, el síntoma central fue el ánimo deprimido, a excepción de la población aymara, en quienes la centralidad recae en los problemas del sueño. Además, la menor interacción entre síntomas se presentó en quienes se identificaron como nativos amazónicos. Se concluye que la depresión puede manifestarse de manera distinta entre los grupos étnicos, especialmente en la población aymara, donde se encontró una expresión más somática, expresada en los problemas del sueño.

Abstract The aim of this study was to examine the dynamics of depressive symptoms in the Peruvian population according to ethnic identity and identify the central symptom by network analysis. For this purpose, the database of the Demographic and Family Health Survey (ENDES) 2020 was analyzed. The sample was random and consisted of 32.634 participants who were administered the Patient Health Questionnaire 9. A network analysis was performed to find out the core symptoms of depression according to their ethnic identity. The findings indicated that, in all ethnic groups, the central symptom was depressed mood, with the exception of the Aymara population, in whom sleep problems were central. In addition, the least interaction between symptoms was found in those who identified themselves as Amazonian natives. It is concluded that depression may manifest itself differently among ethnic groups, especially in the Aymara population, where a more somatic expression was found, such as sleep problems.

Understanding symptom profiles of depression with the PHQ-9 in a community sample using network analysis.

BACKGROUND: Depression is one of the most prevalent mental health conditions in the world. However, the heterogeneity of depression has presented obstacles for research concerning disease mechanisms, treatment indication, and personalization. The current study used network analysis to analyze and compare profiles of depressive symptoms present in community samples, considering the relationship between symptoms. METHODS: Cross-sectional measures of depression using the Patient Health Questionnaire - 9 items (PHQ-9) were collected from community samples using data from participants scoring above a clinical threshold of ≥10 points (N = 2,023; 73.9% female; mean age 49.87, SD = 17.40). Data analysis followed three steps. First, a profiling algorithm was implemented to identify all possible symptom profiles by dichotomizing each PHQ-9 item. Second, the most prevalent symptom profiles were identified in the sample. Third, network analysis for the most prevalent symptom profiles was carried out to identify the centrality and covariance of symptoms. RESULTS: Of 382 theoretically possible depression profiles, only 167 were present in the sample. Furthermore, 55.6% of the symptom profiles present in the sample were represented by only eight profiles. Network analysis showed that the network and symptoms' relationship varied across the profiles. CONCLUSIONS: Findings indicate that the vast number of theoretical possible ways to meet the criteria for major depressive disorder (MDD) is significantly reduced in empirical samples and that the most common profiles of symptoms have different networks and connectivity patterns. Scientific and clinical consequences of these findings are discussed in the context of the limitations of this study.

Implementation processes of social network interventions for physical activity and sedentary behavior among children and adolescents: a scoping review.

BACKGROUND: The characteristics of the implementation process of interventions are essential for bridging the gap between research and practice. This scoping review aims to identify the implementation process of social network interventions (SNI) to address physical activity and sedentary behaviors in children and adolescents. METHODS: The scoping review was conducted adhering to the established guidelines. The search was carried out in the ERIC, EBSCO, EMBASE, SCOPUS, and Lilacs databases in April 2023. Social network intervention studies in children and adolescents were included, addressing physical activity or sedentary behaviors. Replicability (TIDieR), applicability (PRECIS-2), and generalizability (RE-AIM) were the explored components of the implementation process. Each component was quantitatively and separately analyzed. Then, a qualitative integration was carried out using a narrative method. RESULTS: Most SNI were theoretically framed on the self-determination theory, used social influence as a social mechanism, and used the individual typology of network intervention. Overall, SNI had strong replicability, tended to be pragmatic, and three RE-AIM domains (reach, adoption (staff), and implementation) showed an acceptable level of the generalizability of findings. CONCLUSIONS: The analyzed SNI for physical activity and sedentary behaviors in adolescents tended to be reported with high replicability and were conducted pragmatically, i.e., with very similar conditions to real settings. The RE-AIM domains of reach, adoption (staff), and implementation support the generalizability of SNI. Some domains of the principles of implementation strategies of SNI had acceptable external validity (actor, action targets, temporality, dose, and theoretical justification).

Twitter Analysis of Health Care Workers' Sentiment and Discourse Regarding Post-COVID-19 Condition in Children and Young People: Mixed Methods Study.

BACKGROUND: The COVID-19 pandemic has had a significant global impact, with millions of cases and deaths. Research highlights the persistence of symptoms over time (post-COVID-19 condition), a situation of particular concern in children and young people with symptoms. Social media such as Twitter (subsequently rebranded as X) could provide valuable information on the impact of the post-COVID-19 condition on this demographic. OBJECTIVE: With a social media analysis of the discourse surrounding the prevalence of post-COVID-19 condition in children and young people, we aimed to explore the perceptions of health care workers (HCWs) concerning post-COVID-19 condition in children and young people in the United Kingdom between January 2021 and January 2022. This will allow us to contribute to the emerging knowledge on post-COVID-19 condition and identify critical areas and future directions for researchers and policy makers. METHODS: From a pragmatic paradigm, we used a mixed methods approach. Through discourse, keyword, sentiment, and image analyses, using Pulsar and InfraNodus, we analyzed the discourse about the experience of post-COVID-19 condition in children and young people in the United Kingdom shared on Twitter between January 1, 2021, and January 31, 2022, from a sample of HCWs with Twitter accounts whose biography identifies them as HCWs. RESULTS: We obtained 300,000 tweets, out of which (after filtering for relevant tweets) we performed an in-depth qualitative sample analysis of 2588 tweets. The HCWs were responsive to announcements issued by the authorities regarding the management of the COVID-19 pandemic in the United Kingdom. The most frequent sentiment expressed was negative. The main themes were uncertainty about the future, policies and regulations, managing and addressing the COVID-19 pandemic and post-COVID-19 condition in children and young people, vaccination, using Twitter to share scientific literature and management strategies, and clinical and personal experiences. CONCLUSIONS: The perceptions described on Twitter by HCWs concerning the presence of the post-COVID-19 condition in children and young people appear to be a relevant and timely issue and responsive to the declarations and guidelines issued by health authorities over time. We recommend further support and training strategies for health workers and school staff regarding the manifestations and treatment of children and young people with post-COVID-19 condition.