Social network-based approaches to HIV testing: a systematic review and meta-analysis.

INTRODUCTION: Social network-based testing approaches (SNAs) encourage individuals ("test promoters") to motivate sexual partners and/or those in their social networks to test for HIV. We conducted a systematic review to examine the effectiveness, acceptability and cost-effectiveness of SNA. METHODS: We searched five databases from January 2010 to May 2023, and included studies that compared SNA with non-SNA. We used random-effects meta-analysis to combine effect estimates. Certainty was assessed using the GRADE approach. RESULTS: We identified 47 studies. SNA may increase uptake of HIV testing compared to non-SNA (RR 2.04, 95% CI: 1.06-3.95, Low certainty). The proportion of first-time testers was probably higher among partners or social contacts of test promoters using SNA compared to non-SNA (RR 1.49, 95% CI: 1.22-1.81, Moderate certainty). The proportion of people who tested positive for HIV may be higher among partners or social contacts of test promoters using SNA compared to non-SNA (RR 1.84, 95% CI: 1.01-3.35, Low certainty). There were no reports of any adverse events or harms associated with SNA. Based on six cost-effectiveness studies, SNA was generally cheaper per person tested and per person diagnosed compared to non-SNA. Based on 23 qualitative studies, SNA is likely to be acceptable to a variety of populations. DISCUSSION: Our review collated evidence for SNA to HIV testing covering the key populations and the general population who may benefit from HIV testing. We summarized evidence for the effectiveness, acceptability and cost-effectiveness of different models of SNA. While we did not identify an ideal model of SNA that could be immediately scaled up, for each setting and population targeted, we recommend various implementation considerations as our meta-analysis showed the effectiveness might differ due to factors which include the testing modality (i.e. use of HIV self-testing), type of test promoters, long or short duration of recruitment and use of financial incentives. CONCLUSIONS: Social network-based approaches may enhance HIV testing uptake, increase the proportion of first-time testers and those testing positive for HIV. Heterogeneity among studies highlights the need for context-specific adaptations, but the overall positive impact of SNA on HIV testing outcomes could support its integration into existing HIV testing services.

The impact of social relationships on the risk of stroke and post-stroke mortality: a systematic review and meta-analysis.

BACKGROUND: The association between poor social relationships and post-stroke mortality remains uncertain, and the evidence regarding the relationship between poor social relationships and the risk of stroke is inconsistent. In this meta-analysis, we aim to elucidate the evidence concerning the risk of stroke and post-stroke mortality among individuals experiencing a poor social relationships, including social isolation, limited social networks, lack of social support, and loneliness. METHODS: A thorough search of PubMed, Embase, and the Cochrane Library databases to systematically identify pertinent studies. Data extraction was independently performed by two researchers. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using either a random-effects or fixed-effects model. Sensitivity analyses were conducted to evaluate the reliability of the results. Random-effects meta-regression was performed to explore the sources of heterogeneity in stroke risk estimates between studies. Assessment for potential publication bias was carried out using Egger's and Begg's tests. RESULTS: Nineteen studies were included, originating from 4 continents and 12 countries worldwide. A total of 1,675,707 participants contributed to this meta-analysis. Pooled analyses under the random effect model revealed a significant association between poor social relationships and the risk of stroke (OR = 1.30; 95%CI: 1.17-1.44), as well as increased risks for post-stroke mortality (OR = 1.36; 95%CI: 1.07-1.73). Subgroup analyses demonstrated associations between limited social network (OR = 1.52; 95%CI = 1.04-2.21), loneliness (OR = 1.31; 95%CI = 1.13-1.51), and lack of social support (OR = 1.66; 95%CI = 1.04-2.63) with stroke risk. The meta-regression explained 75.21% of the differences in reported stroke risk between studies. Random-effect meta-regression results indicate that the heterogeneity in the estimated risk of stroke may originate from the continent and publication year of the included studies. CONCLUSION: Social isolation, limited social networks, lack of social support, and feelings of loneliness have emerged as distinct risk factors contributing to both the onset and subsequent mortality following a stroke. It is imperative for public health policies to prioritize the multifaceted influence of social relationships and loneliness in stroke prevention and post-stroke care. TRIAL REGISTRATION: The protocol was registered on May 1, 2024, on the Prospero International Prospective System with registration number CRD42024531036.

International Collaboration in Taiwan Emergency Department Publications: A Social Network Analysis.

Background: Emergency medicine (EM) is a growing specialty both clinically and academically. Academic EM development can be measured by number of scientific publications. This study aimed to evaluate the academic international cooperation trend of Taiwan emergency departments (EDs) in the past two decades using social network analysis (SNA). Methods: The study population were publications with first author affiliated with Taiwan EDs and the study duration was publication year before 2021. The enrolled publications were categorized into two groups: Group one, all authors were affiliated with Taiwan (domestic publications) and Group two, authors were affiliated with Taiwan and other countries (international publications). The primary outcome measurement was the degree centrality of Taiwan before 2021. The secondary outcome measurements included the trend in annual publication number of Group one and Group two, the trend in country number of each year in Group two, the top five countries that collaborate with Taiwan, the difference between the median of citation numbers in Group one and Group two, and the difference between the median of author numbers in Group one and Group two. Results: A total 4,363 publications were enrolled, of which 4,046 publications were classified in Group one and 317 publications were in Group two. The annual publication number of both groups increased significantly. The annual country number of collaboration with Taiwan ED publications had also significantly increased. The median of citation number and author number in Group two were both significantly higher than Group one. The top five countries collaborating with Taiwan were the United States, China, Malaysia, Japan, and Australia. Conclusions: Taiwan EDs' growing international collaboration in the past two decades indicated a capacity to conduct multi-country research. International collaboration publications obtained higher citations compared to domestic publications. Researchers should enhance international collaborations for academic advancement.

The Extended Social Network-Oriented Support Model for Intimate Partner Violence Survivors.

Intimate partner violence (IPV) transcends cultural, social and economic boundaries, affecting countless individuals globally. Recovery for IPV survivors is supported by their social networks, yet the readiness of these networks is often poorly understood. This perspective paper proposes an extension to existing network-oriented IPV support models by integrating a focus on the readiness and well-being of informal supporters towards the goal of enhancing IPV survivor recovery through effective networks. This paper presents the extended social network-oriented support model, incorporating the Informal Supporter Readiness Inventory. This tool assesses the readiness of informal supporters, incorporating factors, such as normative and individual beliefs about IPV, and context-specific factors, to enable identification and targeted assistance where needed. Additionally, the proposed model emphasises the importance of supporting the well-being of informal supporters, who frequently endure elevated levels of stress, anxiety and depression. By integrating these elements, the extended social network-oriented support model is designed to help professional supporters foster resilient and sustainable support networks for IPV survivors, with potential applicability across various healthcare disciplines. The extended model underscores the necessity of assessing and fostering both the readiness and well-being of informal supporters to enhance the recovery journey for IPV survivors.

Influence of TikTok on Body Satisfaction Among Generation Z in Indonesia: Mixed Methods Approach.

BACKGROUND: As social media platforms gain popularity, their usage is increasingly associated with cyberbullying and body shaming, causing devastating effects. OBJECTIVE: This study aims to investigate the impact of social media on Generation Z users' body image satisfaction. More specifically, it examines the impact of TikTok on body image satisfaction among TikTok users aged between 17 years and 26 years in Indonesia. METHODS: The methodology used mixed-method approaches. Quantitative data were obtained from 507 responses to a questionnaire and analyzed using covariance-based structural equation modeling. Qualitative data were obtained from the interviews of 32 respondents and analyzed through content analysis. RESULTS: This study reveals that upward appearance comparison is influenced by video-based activity and appearance motivation. Conversely, thin-ideal internalization is influenced by appearance motivation and social media literacy. Upward appearance comparisons and thin-ideal internalization comparisons detrimentally impact users' body image satisfaction. CONCLUSIONS: The results of this study are expected to provide valuable insights for social media providers, regulators, and educators in their endeavors to establish a positive and healthy social media environment for users.

Racial and Ethnic Differences in Mobile App Use for Meeting Sexual Partners Among Young Men Who Have Sex With Men and Young Transgender Women: Cross-Sectional Study.

Background: Young men who have sex with men and young transgender women (YMSM-YTW) use online spaces to meet sexual partners with increasing regularity, and research shows that experiences of racism online mimics the real world. Objective: We analyzed differences by race and ethnicity in web-based and mobile apps used to meet sexual partners as reported by Chicago-based YMSM-YTW in 2016-2017. Methods: A racially and ethnically diverse sample of 643 YMSM-YTW aged 16-29 years were asked to name websites or mobile apps used to seek a sexual partner in the prior 6 months, as well as provide information about sexual partnerships from the same period. We used logistic regression to assess the adjusted association of race and ethnicity with (1) use of any website or mobile apps to find a sexual partner, (2) use of a "social network" to find a sexual partner compared to websites or mobile apps predominantly used for dating or hookups, (3) use of specific websites or mobile apps, and (4) reporting successfully meeting a sexual partner online among website or mobile app users. Results: While most YMSM-YTW (454/643, 70.6%) used websites or mobile apps to find sexual partners, we found that Black non-Hispanic YMSM-YTW were significantly less likely to report doing so (comparing White non-Hispanic to Black non-Hispanic: adjusted odds ratio [aOR] 1.74, 95% CI 1.10-2.76). Black non-Hispanic YMSM-YTW were more likely to have used a social network site to find a sexual partner (comparing White non-Hispanic to Black non-Hispanic: aOR 0.20, 95% CI 0.11-0.37), though this was only reported by one-third (149/454, 32.8%) of all app-using participants. Individual apps used varied by race and ethnicity, with Grindr, Tinder, and Scruff being more common among White non-Hispanic YMSM-YTW (93/123, 75.6%; 72/123, 58.5%; and 30/123, 24.4%, respectively) than among Black non-Hispanic YMSM-YTW (65/178, 36.5%; 25/178, 14%; and 4/178, 2.2%, respectively) and Jack'd and Facebook being more common among Black non-Hispanic YMSM-YTW (105/178, 59% and 64/178, 36%, respectively) than among White non-Hispanic YMSM-YTW (6/123, 4.9% and 8/123, 6.5%, respectively). Finally, we found that while half (230/454, 50.7%) of YMSM-YTW app users reported successfully meeting a new sexual partner on an app, Black non-Hispanic YMSM-YTW app users were less likely to have done so than White non-Hispanic app users (comparing White non-Hispanic to Black non-Hispanic: aOR 2.46, 95% CI 1.50-4.05). Conclusions: We found that Black non-Hispanic YMSM-YTW engaged with websites or mobile apps and found sexual partners systematically differently than White non-Hispanic YMSM-YTW. Our findings give a deeper understanding of how racial and ethnic sexual mixing patterns arise and have implications for the spread of sexually transmitted infections among Chicago's YMSM-YTW.

Exploring the use of social network analysis methods in process improvement within healthcare organizations: a scoping review.

BACKGROUND: Communication breakdowns among healthcare providers have been identified as a significant cause of preventable adverse events, including harm to patients. A large proportion of studies investigating communication in healthcare organizations lack the necessary understanding of social networks to make meaningful improvements. Process Improvement in healthcare (systematic approach of identifying, analyzing, and enhancing workflows) is needed to improve quality and patient safety. This review aimed to characterize the use of SNA methods in Process Improvement within healthcare organizations. METHODS: Relevant studies were identified through a systematic search of seven databases from inception - October 2022. No limits were placed on study design or language. The reviewers independently charted data from eligible full-text studies using a standardized data abstraction form and resolved discrepancies by consensus. The abstracted information was synthesized quantitatively and narratively. RESULTS: Upon full-text review, 38 unique articles were included. Most studies were published between 2015 and 2021 (26, 68%). Studies focused primarily on physicians and nursing staff. The majority of identified studies were descriptive and cross-sectional, with 5 studies using longitudinal experimental study designs. SNA studies in healthcare focusing on process improvement spanned three themes: Organizational structure (e.g., hierarchical structures, professional boundaries, geographical dispersion, technology limitations that impact communication and collaboration), team performance (e.g., communication patterns and information flow among providers., and influential actors (e.g., key individuals or roles within healthcare teams who serve as central connectors or influencers in communication and decision-making processes). CONCLUSIONS: SNA methods can characterize Process Improvement through mapping, quantifying, and visualizing social relations, revealing inefficiencies, which can then be targeted to develop interventions to enhance communication, foster collaboration, and improve patient safety.

Effects of the social environment on movement-integrated habitat selection.

BACKGROUND: Movement links the distribution of habitats with the social environment of animals using those habitats. Despite the links between movement, habitat selection, and socioecology, their integration remains a challenge due to lack of shared vocabulary across fields, methodological gaps, and the implicit (rather than explicit) historical development of theory in the fields of social and spatial ecology. Given these challenges can be addressed, opportunity for further study will provide insight about the links between social, spatial, and movement ecology. Here, our objective was to disentangle the roles of habitat selection and social association as drivers of movement in caribou (Rangifer tarandus). METHODS: To accomplish our objective, we modelled the relationship between collective movement and selection of foraging habitats using socially informed integrated step selection function (iSSF). Using iSSF, we modelled the effect of social processes, i.e., nearest neighbour distance and social preference, and movement behaviour on patterns of habitat selection. RESULTS: By unifying social network analysis with iSSF, we identified movement-dependent social association, where individuals took shorter steps in lichen habitat and foraged in close proximity to more familiar individuals. CONCLUSIONS: Our study demonstrates that social preference is context-dependent based on habitat selection and foraging behaviour. We therefore surmise that habitat selection and social association are drivers of collective movement, such that movement is the glue between habitat selection and social association. Here, we put these concepts into practice to demonstrate that movement is the glue connecting individual habitat selection to the social environment.

Epidemiological Consequences of Individual Centrality on Wild Chimpanzees.

Disease outbreaks are one of the key threats to great apes and other wildlife. Because the spread of some pathogens (e.g., respiratory viruses, sexually transmitted diseases, ectoparasites) are mediated by social interactions, there is a growing interest in understanding how social networks predict the chain of pathogen transmission. In this study, we built a party network from wild chimpanzees (Pan troglodytes), and used agent-based modeling to test: (i) whether individual attributes (sex, age) predict individual centrality (i.e., whether it is more or less socially connected); (ii) whether individual centrality affects an individual's role in the chain of pathogen transmission; and, (iii) whether the basic reproduction number (R0) and infectious period modulate the influence of centrality on pathogen transmission. We show that sex and age predict individual centrality, with older males presenting many (degree centrality) and strong (strength centrality) relationships. As expected, males are more central than females within their network, and their centrality determines their probability of getting infected during simulated outbreaks. We then demonstrate that direct measures of social interaction (strength centrality), as well as eigenvector centrality, strongly predict disease dynamics in the chimpanzee community. Finally, we show that this predictive power depends on the pathogen's R0 and infectious period: individual centrality was most predictive in simulations with the most transmissible pathogens and long-lasting diseases. These findings highlight the importance of considering animal social networks when investigating disease outbreaks.

Communication in oncology between healthcare providers, patients, the scientific community, and the media: recommendations from the Italian Association of Medical Oncology (AIOM).

AIM: To identify barriers between health and communication in oncology in order to promote the best possible practice. The areas of communication to be focused on are communication directly with the patient, communication within the scientific community, and communication with the media. MATERIAL AND METHODS: A working group including eminent experts from the national mass media, healthcare system, and patients' advocacy has been established on behalf of the Italian Association of Medical Oncology (AIOM), with the aim of developing suitable recommendations for the best communication in oncology. A literature search has been conducted selecting primary studies related to the best practices applied to communication in oncology. Subsequent to having identified the most representative statements, through a consensus conference using the RAND/University of California Los Angeles modified Delphi method, the panel evaluated the relevance of each statement to support useful strategies to develop effective communication between oncologist physicians and patients, communication within the scientific community, and communication with media outlets, including social media. RESULTS: A total of 292 statements have been extracted from 100 articles. Following an evaluation of relevance, it was found that among the 142 statements achieving the highest scores, 30 of these have been considered of particular interest by the panel. CONCLUSIONS: This consensus and the arising document represent an attempt to strengthen the strategic alliance between key figures in communication, identifying high-impact recommendations for the management of communication in oncology with respect to patients, the wider scientific community, and the media.

Friend Social Network Size Moderates the Association Between Age and Physical Activity Across Adulthood.

Both physical activity and social network size decline as people age. However, limited research has examined if social network size and contact frequency differentially influence physical activity across the adult lifespan. This study aimed to assess if these social network characteristics moderated the relationship between age and physical activity level across adulthood. Multiple regression analyses were conducted to examine the main-effect association between age, past-week physical activity, and past-year physical activity, as well as the moderating effect of social network characteristics (i.e., friend network size, friend contact frequency, relative network size, and relative contact frequency) on age-physical activity associations. The results revealed that friend network size had moderated associations between age and past-week physical activity (ß = -7.03; p = .025, f2 = 0.13) and past-year physical activity (ß = -585.52; p = .017, f2 = 0.15). Specifically, adults who were older and had smaller friend networks performed more minutes of moderate-vigorous physical activity (MVPA) over the past week and past year; on the other hand, adults who were younger and had larger friend networks performed more minutes of MVPA over the past week and past year. Relative network size, friend contact frequency, and relative contact frequency did not moderate the relationship between age and past-week physical activity and past-year physical activity. These findings suggested that building friend networks throughout adulthood may help promote active living across the adult lifespan.

Aesthetic Medicine Across Generations: Evolving Trends and Influences.

Aesthetic medicine has grown exponentially in recent decades, becoming a key part of healthcare and wellness, with distinct generational demands shaping its landscape. Baby Boomers seek youthful rejuvenation, preferring noninvasive treatments like botulinum toxin injections and dermal fillers. Generation X favors natural, minimally invasive enhancements, often influenced by authentic testimonials. Millennials, driven by social media and self-care trends, prioritize preventive and enhancement procedures, sharing their experiences online. Generation Z, influenced by social media and digital beauty standards, focuses on prejuvenation and temporary enhancements. For industry professionals, understanding these generational dynamics and leveraging social media is essential to meet diverse patient expectations and enhance engagement.Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

The mitigating role of social capital on the association between food insecurity and psychological distress among Chinese adults.

BACKGROUND: Food insecurity, a pervasive global issue exacerbated by the COVID-19 pandemic, has been linked to adverse mental health outcomes. However, the role of social capital in mitigating this relationship remains understudied, particularly in the Chinese context. AIMS: This study investigated the associations between food insecurity and psychological distress (depressive and anxiety symptoms) and examined the potential moderating effects of bonding and bridging social capital among Chinese adults in Shanghai. METHODS: This cross-sectional study included 3,220 Chinese adults (mean age: 34.45; 51.5% male) in Shanghai. Food insecurity was assessed using the modified Household Food Insecurity Access Scale, psychological distress was measured using the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder-7, and social capital was evaluated using the Revised Personal Social Capital Scale. RESULTS: Multivariable linear regression analyses revealed that food insecurity was significantly positively associated with both depressive (ß = 0.449, SE = 0.024) and anxiety symptoms (ß = 0.391, SE = 0.022), after adjusting for sociodemographic characteristics, health status, and COVID-19-related factors. Higher levels of bonding and bridging social capital were significantly associated with fewer depressive and anxiety symptoms. Significant interactions (p < .001) between bonding social capital and food insecurity indicated that the associations between food insecurity and psychological distress were less pronounced among adults with higher bonding social capital. CONCLUSIONS: These findings highlight the critical role of food insecurity as a risk factor for psychological distress and the importance of bonding social capital in mitigating its impact on mental health. Policies and interventions targeting food insecurity prevention and bonding social capital enhancement may promote better mental health outcomes among Chinese adults.

A wrap-around movement path randomization method to distinguish social and spatial drivers of animal interactions.

Studying the spatial-social interface requires tools that distinguish between social and spatial drivers of interactions. Testing hypotheses about the factors determining animal interactions often involves comparing observed interactions with reference or 'null' models. One approach to accounting for spatial drivers of social interactions in reference models is randomizing animal movement paths to decouple spatial and social phenotypes while maintaining environmental effects on movements. Here, we update a reference model that detects social attraction above the effect of spatial constraints. We explore the use of our 'wrap-around' method and compare its performance to the previous approach using agent-based simulations. The wrap-around method provides reference models that are more similar to the original tracking data, while still distinguishing between social and spatial drivers. Furthermore, the wrap-around approach results in fewer false-positives than its predecessor, especially when animals do not return to one place each night but change movement foci, either locally or directionally. Finally, we show that interactions among GPS-tracked griffon vultures (Gyps fulvus) emerge from social attraction rather than from spatial constraints on their movements. We conclude by highlighting the biological situations in which the updated method might be most suitable for testing hypotheses about the underlying causes of social interactions. This article is part of the theme issue 'The spatial-social interface: a theoretical and empirical integration'.

The relationships among family function, psychological resilience, and social network of patients with chronic disease in the community.

This study aimed to examine the relationships among family function, psychological resilience, and social network of patients with chronic disease in the community and to further identify whether psychological resilience played a mediating role in the relationship between family function and social network. A cross-sectional survey including 460 convenient samples of patients with chronic disease in four Chinese communities was conducted using a general characteristics questionnaire, the Family APGAR Index, the Connor-Davidson Resilience Scale, and the Lubben Social Network Scale 6. Data were analyzed using descriptive analysis, Student's t-test, one-way ANOVA, Pearson/Spearman correlation, hierarchical multiple regression analysis, and mediation analysis using the PROCESS macro. Family function, psychological resilience, and social network were significantly related. Psychological resilience partially mediated the relationship between family function and social network. Interventions designed to enhance family function and psychological resilience may improve social network among patients with chronic disease in the community.

Adicción a las redes sociales y salud mental en estudiantes de medicina en Perú / Social media addiction and mental health in medical students in Peru / Dependência de mídia social e saúde mental em estudantes de medicina no Peru

Las redes sociales, al influir en las interacciones diarias y en la gestión de la información, emergen como un factor determinante en la estabilidad psíquica y afectiva de los individuos. Objetivo: Determinar la relación de la adicción a las redes sociales en la salud mental de los estudiantes de medicina humana en una universidad peruana. Material y métodos: Estudio cuantitativo, correlacional, transversal y analítico en el que colaboraron 172 educandos, 82 féminas y 90 varones. Se aplicó el cuestionario Adición a las Redes Sociales diseñado por Escurra y Salas el cual constó de 24 preguntas evaluadas mediante escala de Likert, el mismo fue validado con un Alfa de Cronbach de 0.94. Además, se utilizó el Cuestionario DASS-21 el cual consta de 21 ítems, subdividido en 3 subescalas: depresión, ansiedad y estrés y ha sido validado con un Alfa de Cronbach de 0.96. Resultados: 46.3% de los educandos presentó adicción en nivel medio y alto a las redes sociales. Se halló una correlación significativa entre la ansiedad, el estrés y la adicción a las redes sociales, aunque no se encontró una conexión relevante entre esta última y la depresión. Conclusión: La adicción a las redes sociales impacta negativamente en la salud mental de los educandos, generando niveles elevados de ansiedad y estrés

Social networks, by influencing daily interactions and information management, emerge as a determining factor in the psychic and affective stability of individuals. Objective: To determine the relationship of social media addiction in the mental health of human medicine students at a Peruvian university. Material and methods: Quantitative, correlational, cross-sectional and analytical study in which 172 students, 82 females and 90 males, collaborated. The questionnaire Addition to Social Networks designed by Escurra and Salas was applied which consisted of 24 questions evaluated by Likert scale, it was validated with a Cronbach's Alpha of 0.94. In addition, the DASS-21 Questionnaire was used, which consists of 21 items, subdivided into 3 subscales: depression, anxiety and stress and has been validated with a Cronbach's Alpha of 0.96. Results: 46.3% of the students presented addiction at medium and high level to social networks. A significant correlation was found between anxiety, stress and social media addiction, although no relevant connection was found between the latter and depression. Conclusion: Addiction to social networks negatively impacts on the mental health of students, generating high levels of anxiety and stress

As redes sociais, influenciando as interações diárias e a gestão da informação, emergem como um fator determinante na estabilidade psíquica e afetiva dos indivíduos. Objetivo: Determinar a relação do vício em redes sociais na saúde mental de estudantes de medicina humana em uma Universidade peruana. Material e métodos: estudo quantitativo, correlacional, transversal e analítico no qual colaboraram 172 educandos, 82 mulheres e 90 homens. Aplicou-se o questionário adenda às Redes sociais desenhado por escorra e Salas o qual consistiu de 24 perguntas avaliadas mediante escala de Likert, o mesmo foi validado com um Alfa de Cronbach de 0,94. Além disso, utilizou-se o questionário DASS-21 que consta de 21 itens, subdividido em 3 subescalas: depressão, ansiedade e estresse e foi validado com um Alfa de Cronbach de 0,96. Resultados: 46,3% dos educandos apresentaram dependência em nível médio e alto às redes sociais. Foi encontrada uma correlação significativa entre a ansiedade, o estresse e o vício em redes sociais, embora não tenha sido encontrada uma conexão relevante entre esta última e a depressão. Conclusão: o vício em redes sociais impacta negativamente na saúde mental dos educandos, gerando níveis elevados de ansiedade e estresse

Adicción a las redes sociales y salud mental en estudiantes de medicina en Perú

Las redes sociales, al influir en las interacciones diarias y en la gestión de la información, emergen como un factor determinante en la estabilidad psíquica y afectiva de los individuos. Objetivo: Determinar la relación de la adicción a las redes sociales en la salud mental de los estudiantes de medicina humana en una universidad peruana. Material y métodos: Estudio cuantitativo, correlacional, transversal y analítico en el que colaboraron 172 educandos, 82 féminas y 90 varones. Se aplicó el cuestionario Adición a las Redes Sociales diseñado por Escurra y Salas el cual constó de 24 preguntas evaluadas mediante escala de Likert, el mismo fue validado con un Alfa de Cronbach de 0.94. Además, se utilizó el Cuestionario DASS-21 el cual consta de 21 ítems, subdividido en 3 subescalas: depresión, ansiedad y estrés y ha sido validado con un Alfa de Cronbach de 0.96. Resultados: 46.3% de los educandos presentó adicción en nivel medio y alto a las redes sociales. Se halló una correlación significativa entre la ansiedad, el estrés y la adicción a las redes sociales, aunque no se encontró una conexión relevante entre esta última y la depresión. Conclusión: La adicción a las redes sociales impacta negativamente en la salud mental de los educandos, generando niveles elevados de ansiedad y estrés.

Social networks, by influencing daily interactions and information management, emerge as a determining factor in the psychic and affective stability of individuals. Objective: To determine the relationship of social media addiction in the mental health of human medicine students at a Peruvian university. Material and methods: Quantitative, correlational, cross-sectional and analytical study in which 172 students, 82 females and 90 males, collaborated. The questionnaire Addition to Social Networks designed by Escurra and Salas was applied which consisted of 24 questions evaluated by Likert scale, it was validated with a Cronbach's Alpha of 0.94. In addition, the DASS-21 Questionnaire was used, which consists of 21 items, subdivided into 3 subscales: depression, anxiety and stress and has been validated with a Cronbach's Alpha of 0.96. Results: 46.3% of the students presented addiction at medium and high level to social networks. A significant correlation was found between anxiety, stress and social media addiction, although no relevant connection was found between the latter and depression. Conclusion: Addiction to social networks negatively impacts on the mental health of students, generating high levels of anxiety and stress.

As redes sociais, influenciando as interações diárias e a gestão da informação, emergem como um fator determinante na estabilidade psíquica e afetiva dos indivíduos. Objetivo: Determinar a relação do vício em redes sociais na saúde mental de estudantes de medicina humana em uma Universidade peruana. Material e métodos: estudo quantitativo, correlacional, transversal e analítico no qual colaboraram 172 educandos, 82 mulheres e 90 homens. Aplicou-se o questionário adenda às Redes sociais desenhado por escorra e Salas o qual consistiu de 24 perguntas avaliadas mediante escala de Likert, o mesmo foi validado com um Alfa de Cronbach de 0,94. Além disso, utilizou-se o questionário DASS-21 que consta de 21 itens, subdividido em 3 subescalas: depressão, ansiedade e estresse e foi validado com um Alfa de Cronbach de 0,96. Resultados: 46,3% dos educandos apresentaram dependência em nível médio e alto às redes sociais. Foi encontrada uma correlação significativa entre a ansiedade, o estresse e o vício em redes sociais, embora não tenha sido encontrada uma conexão relevante entre esta última e a depressão. Conclusão: o vício em redes sociais impacta negativamente na saúde mental dos educandos, gerando níveis elevados de ansiedade e estresse.

Spatio-temporal variation and influencing factors of aero-sports tourism internet attention in Shaanxi Province, China.

Despite China's building into a leading sporting nation and sport-tourism integration high-quality development strategy in the 20th National Congress of the Communist Party of China, existing tourism studies seldom concern sport-tourism integration, especially their spatial hot spots and evolutional trend based on geospatial big data. This study aims to probe into the spatiality and the underlying mechanism of sport tourism through internet attention data in 2015, 2018, and 2021 by social network analysis, with a specific focus on aero-sports tourism. Shaanxi Province is chosen as the study site given its advantages of rich aero-sports tourism resources and various aero-sports modes (e.g., sky diving, paragliding, etc.). The results are concluded: (1) At the provincial scale, the aero-sports tourism internet attention shows a pattern of "strong in the middle and weak in the north and south". (2) At the regional scale, the sub-group clusters within the three specific regions (Shanbei, Guanzhong, and Shannan) of Shaanxi Province turn to be inter-regional clusters. Guanzhong region, especially with Xi'an as the core, is dominant in connecting its peripheral area. Since 2016, the radiation effects of the Guanzhong Region have shown a homogeneous trend of yearly growth and effect strengthening, yet become loosely connected with a heterogeneous trend in 2021 due to the COVID-19 epidemic. (3) At the city scale, the core area of aero-sports tourism internet attention expanded from Xi'an and Xianyang to Yulin and Baoji from 2015 to 2021, resulting from urban economic strength and aviation flight camp club development. (4) The number of general aviation manufacturers, tourist attendance, and tourism revenue significantly affect aero-sports tourism internet attention.

A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data.

BACKGROUND: Social network analysis of animal societies allows scientists to test hypotheses about social evolution, behaviour, and dynamic processes. However, the accuracy of estimated metrics depends on data characteristics like sample proportion, sample size, and frequency. A protocol is needed to assess for bias and robustness of social network metrics estimated for the animal populations especially when a limited number of individuals are monitored. METHODS: We used GPS telemetry datasets of five ungulate species to combine known social network approaches with novel ones into a comprehensive five-step protocol. To quantify the bias and uncertainty in the network metrics obtained from a partial population, we presented novel statistical methods which are particularly suited for autocorrelated data, such as telemetry relocations. The protocol was validated using a sixth species, the fallow deer, with a known population size where ∼ 85 % of the individuals have been directly monitored. RESULTS: Through the protocol, we demonstrated how pre-network data permutations allow researchers to assess non-random aspects of interactions within a population. The protocol assesses bias in global network metrics, obtains confidence intervals, and quantifies uncertainty of global and node-level network metrics based on the number of nodes in the network. We found that global network metrics like density remained robust even with a lowered sample size, while local network metrics like eigenvector centrality were unreliable for four of the species. The fallow deer network showed low uncertainty and bias even at lower sampling proportions, indicating the importance of a thoroughly sampled population while demonstrating the accuracy of our evaluation methods for smaller samples. CONCLUSIONS: The protocol allows researchers to analyse GPS-based radio-telemetry or other data to determine the reliability of social network metrics. The estimates enable the statistical comparison of networks under different conditions, such as analysing daily and seasonal changes in the density of a network. The methods can also guide methodological decisions in animal social network research, such as sampling design and allow more accurate ecological inferences from the available data. The R package aniSNA enables researchers to implement this workflow on their dataset, generating reliable inferences and guiding methodological decisions.

An overview of environmental risk factors for type 2 diabetes research using network science tools.

Objective: Current studies lack a comprehensive understanding of the environmental factors influencing type 2 diabetes, hindering an in-depth grasp of the overall etiology. To address this gap, we utilized network science tools to highlight research trends, knowledge structures, and intricate relationships among factors, offering a new perspective for a profound understanding of the etiology. Methods: The Web of Science database was employed to retrieve documents relevant to environmental risk factors in type 2 diabetes from 2012 to 2024. Bibliometric analysis using Microsoft Excel and OriginPro provided a detailed scientific production profile, including articles, journals, countries, and authors. Co-occurrence analysis was employed to determine the collaboration state and knowledge structures, utilizing social network tools such as Gephi, Tableau, and R Studio. Additionally, theme evolutionary analysis was conducted using SciMAT to offer insights into research trends. Results: The publications and themes related to environmental factors in type 2 diabetes have consistently risen, shaping a well-established research domain. Lifestyle environmental factors, particularly diet and nutrition, stand out as the most represented and rapidly growing topics. Key focal hotspots include sedentary and digital behavior, PM2.5, ethnicity and socioeconomic status, traffic and greenspace, and depression. The theme evolutionary analysis revealed three distinct paths: (1) oxidative stress-air pollutants-PM2.5-air pollutants; (2) calcium-metabolic syndrome-cardiovascular disease; and (3) polychlorinated biphenyls (PCBs)-persistent organic pollutants (POPs)-obesity. Conclusions: Digital behavior signifies a novel approach for preventing and managing type 2 diabetes. The influence of PM2.5 and calcium on oxidative stress and abnormal vascular contraction is intricately linked to microvascular diabetes complications. The transition from PCBs and POPs to obesity underscores the disruption of endocrine function by chemicals, elevating the risk of diabetes. Future studies should explore the connections between environmental factors, microvascular complications, and long-term outcomes in diabetes.