Healthcare social network research and the ECHO model™: Exploring a community of practice to support cultural brokers and transfer cultural knowledge.

BACKGROUND: Project ECHO® networks at Children's Health Queensland Hospital and Health Service (CHQHHS) are communities of practice designed to mitigate services and systems fragmentation by building collaborative partnerships addressing priority child and youth health needs. Aboriginal and Torres Strait Islander people experience the negative impacts of fragmentation in addition to historical challenges of absent or culturally inappropriate health services. Access to culturally safe and responsive services can be improved by engaging Aboriginal and Torres Strait Islander Health Workers and similar roles in an online community of practice, supporting the integration of cultural and clinical knowledge and self-determination of Aboriginal and Torres Strait Islander consumers in decisions affecting their health. Analysing professional support networks and knowledge sharing patterns helps identify enablers and barriers to partnerships. Using social network research, the multilevel network inclusive of ECHO network members and their colleagues was studied to identify interdisciplinary and cross-sector advice exchange patterns, explore the position of cultural brokers and identify common relational tendencies. METHODS: Social network theories and methods informed the collection of network data and analysis of advice-seeking relationships among ECHO network members and their nominees. Registered members from two ECHO networks were invited to complete the Qualtrics survey. Networks analysed comprised 398 professionals from mainstream health, Aboriginal and Torres Strait Islander Community Controlled Health Organisation, education, disability and child safety service settings. RESULTS: Brokers were well represented, both those who hold knowledge brokerage positions as well as cultural brokers who incorporate clinical and cultural knowledge enabling holistic care for Aboriginal and Torres Strait Islander patients (38 individuals, 17% of network). Professionals who occupy brokerage positions outside the ECHO network tend to be more connected with co-members within the network. CONCLUSIONS: This study is the first application of contemporary social network theories and methods to investigate an ECHO network. The findings highlight the connectivity afforded by brokers, enabling the coordination and collaboration necessary for effective care integration. Inclusion of cultural brokers in an ECHO network provides sustained peer group support while also cultivating relationships that facilitate the integration of cultural and clinical knowledge.

Social networking older adults with mild cognitive impairment: Systematic review protocol on their use of information and communication technology.

This systematic review will identify and synthesize the emerging evidence on older adults with Mild Cognitive Impairment (MCI) utilizing Information and Communication Technology (ICT) to maintain, restore, or augment social networks. The systematic review will consider the evidence on contextual and personal factors of older adults with MCI and their ICT use for social connectedness. The evidence searches will be implemented in PsycINFO, Academic Search Complete, Medline, PubMed, and manual searches. We shall review articles that were published between January 2010 and October 2023 in English and on Information and Communication Technology utility in social networking among older adults with MCI. The process of article selection will be conducted through title screening, abstract screening; and full article screening, following the Population, Intervention, Control, Outcomes (PICO) criteria. Given that all the studies included in this review are publicly accessible and have already obtained ethical approval from their respective institutions, there is no obligation for us to seek additional ethical clearance for our systematic review. We plan to share the outcomes of the systematic review through online presentations and dissemination within the research community. The findings from this review will identify the extent of empirical evidence on older adults with MCI utilizing ICTs to maintain, restore or augment their social networks. This review will provide evidence for contextual and personal factors in older adults with MCI for the social networks with ICT use. This review will propose practical implications for the effective utilization of ICT by older adults with MCI.

Cross-border mobility in the Meuse-Rhine Euroregion: impact of COVID-19 border restrictions on everyday activities and visiting social network members.

Introduction: Cross-border mobility (CBM) to visit social network members or for everyday activities is an important part of daily life for citizens in border regions, including the Meuse-Rhine Euroregion (EMR: neighboring regions from the Netherlands, Belgium, and Germany). We assessed changes in CBM during the COVID-19 pandemic and how participants experienced border restrictions. Methods: Impact of COVID-19 on the EMR' is a longitudinal study using comparative cross-border data collection. In 2021, a random sample of the EMR-population was invited for participation in online surveys to assess current and pre-pandemic CBM. Changes in CBM, experience of border restrictions, and associated factors were analyzed using multinomial and multivariable logistic regression analysis. Results: Pre-pandemic, 82% of all 3,543 participants reported any CBM: 31% for social contacts and 79% for everyday activities. Among these, 26% decreased social CBM and 35% decreased CBM for everyday activities by autumn 2021. Negative experience of border restrictions was reported by 45% of participants with pre-pandemic CBM, and was higher (p < 0.05) in Dutch participants (compared to Belgian; aOR= 1.4), cross-border [work] commuters (aOR= 2.2), participants with cross-border social networks of friends, family or acquaintances (aOR= 1.3), and those finding the measures 'limit group size' (aOR= 1.5) and 'minimalize travel' (aOR= 2.0) difficult to adhere to and finding 'minimalize travel' (aOR= 1.6) useless. Discussion: CBM for social contacts and everyday activities was substantial in EMR-citizens, but decreased during the pandemic. Border restrictions were valued as negative by a considerable portion of EMR-citizens, especially when having family or friends across the border. When designing future pandemic control strategies, policy makers should account for the negative impact of CBM restrictions on their citizens.

Induction of social contagion for diverse outcomes in structured experiments in isolated villages.

Certain people occupy topological positions within social networks that enhance their effectiveness at inducing spillovers. We mapped face-to-face networks among 24,702 people in 176 isolated villages in Honduras and randomly assigned villages to targeting methods, varying the fraction of households receiving a 22-month health education package and the method by which households were chosen (randomly versus using the friendship-nomination algorithm). We assessed 117 diverse knowledge, attitude, and practice outcomes. Friendship-nomination targeting reduced the number of households needed to attain specified levels of village-wide uptake. Knowledge spread more readily than behavior, and spillovers extended to two degrees of separation. Outcomes that were intrinsically easier to adopt also manifested greater spillovers. Network targeting using friendship nomination effectively promotes population-wide improvements in welfare through social contagion.

User tendency-based rating scaling in online trading networks.

Social networks often involve the users rating each other based on their beliefs, abilities, and other characteristics. This is particularly common in e-commerce platforms where buyers rate sellers based on their trustworthiness. However, the rating tends to vary between users due to differences in their individual scoring criteria. For example, in a transaction network, a positive user may give a high rating unless the transaction was unsatisfactory while a neutral user may give a mid-rating, consequently giving the same numeric score to different levels of satisfaction. In this paper, we propose a novel method called user tendency-based rating scaling, which adjusts the current rating (its score) based on the pattern of past ratings. We investigate whether this rating scaling method can classify between "good users" and "bad users" in online trade social networks better when compared with using the original rating scores without scaling. Classifying between good users and bad users is especially important for anonymous rating networks like Bitcoin transaction networks, where users' reputations must be recorded to preclude fraudulent and risky users. We evaluate the proposed rating scaling method by performing user classification, link prediction, and clustering tasks, using three real-world online rating network datasets. We use both the original ratings and the scaled ratings as weights of graphs and use a weighted graph embedding method to find node representations that reflect users' positive and negative information. The experimental results showed that using the proposed rating scaling method outperformed using the original (i.e., unscaled) ratings by up to 17% in classification accuracy, and by up to 2.5% in link prediction based on the AUC ROC measure, and by up to 21% in the clustering tasks based on the Dunn-index.

Antecedents of social media addiction in high and low relational mobility societies: Motivation to expand social network and fear of reputational damage.

Contrary to previous studies on the antecedent factors of social media addiction, we focused on the social environmental factor of relational mobility (i.e., the ease of constructing new interpersonal relationships) and investigated its relationship with social media addiction. People in low relational mobility societies have fewer opportunities to select new relationship partners and consequently feel a stronger need to maintain their reputation. We hypothesized that (1) people in low relational mobility societies are more strongly addicted to social media because they estimate that greater reputational damage will be caused by ignoring messages and (2) people in low relational mobility societies estimate greater reputational damage than actual damage. We conducted two online experiments with 715 and 1,826 participants. Our results demonstrated that (1) there is no relationship between relational mobility and social media addiction and (2) people in both high and low relational mobility societies overestimate reputational damage. Furthermore, we demonstrated that the social media addiction mechanism differs between societies: (3) people in low relational mobility societies estimate greater reputational damage, whereas (4) people in high relational mobility societies are more motivated to expand their social networks; both mechanisms strengthen their social media addiction. Based on these results, we propose interventions for moderating social media addiction in both high and low relational mobility societies.

NBCAL violation of products that compete with breastfeeding on the social network Instagram. / Violação à NBCAL de produtos que competem com a amamentação na rede social Instagram.

The article aims to identify NBCAL violations and analyze the content of messages posted on the Instagram social network. This qualitative-quantitative study consisted of a convenience sample of profiles identified through specific terms preceded by the hashtag symbol (#). Data were collected for two months by trained researchers using a structured questionnaire. We calculated the product promotion frequency that characterized violation of the NBCAL per category and manufacturer. The messages were analyzed using the content analysis technique. We identified 64 personal accounts of mothers with violations in 89 products, mainly food (n = 72), dairy compounds (54.2%), and infant formulas (45.8%) were the most publicized. Two thematic categories emerged from the posted texts, one related to the quality of the products and the other about breastfeeding difficulty, especially low milk production. The study identified NBCAL violations on the Instagram social network, alerting the need to recognize digital marketing to include it in the rules imposed by the Norm in the virtual context, considering the capillarity of social networks in disseminating information to the public in question.

O artigo objetiva identificar infrações à NBCAL e analisar o conteúdo das mensagens postadas na rede social Instagram. Estudo de abordagem quali-quantitativa, com amostra de conveniência composta por perfis identificados por meio de termos específicos, precedidos do símbolo hashtag (#). A coleta de dados foi realizada durante dois meses por pesquisadores treinados, por meio de questionário estruturado. Calculou-se a frequência de promoção de produtos que caracterizava violação à NBCAL, segundo categoria e fabricante. As mensagens foram analisadas por meio da técnica de análise de conteúdo. Foram identificadas 64 contas pessoais de mulheres mães com infrações em 89 produtos, a maioria alimentos (n = 72), sendo os compostos lácteos (54,2%) e as fórmulas infantis para lactentes (45,8%) os mais divulgados. Duas categorias temáticas emergiram dos textos postados, uma relativa à qualidade dos produtos e a outra sobre a dificuldade com a amamentação, especialmente a baixa produção de leite. O estudo identificou violações à NBCAL na rede social Instagram, alertando para a necessidade do reconhecimento do marketing digital para incluí-lo nas regras impostas pela norma no contexto virtual, considerando a capilaridade das redes sociais na divulgação de informações para o público em questão.

A social image recommendation system based on deep reinforcement learning.

Today, due to the expansion of the Internet and social networks, people are faced with a vast amount of dynamic information. To mitigate the issue of information overload, recommender systems have become pivotal by analyzing users' activity histories to discern their interests and preferences. However, most available social image recommender systems utilize a static strategy, meaning they do not adapt to changes in user preferences. To overcome this challenge, our paper introduces a dynamic image recommender system that leverages a deep reinforcement learning (DRL) framework, enriched with a novel set of features including emotion, style, and personality. These features, uncommon in existing systems, are instrumental in crafting a user's characteristic vector, offering a personalized recommendation experience. Additionally, we overcome the challenge of state representation definition in reinforcement learning by introducing a new state representation. The experimental results show that our proposed method, compared to some related works, significantly improves Recall@k and Precision@k by approximately 7%-10% (for the top 100 images recommended) for personalized image recommendation.

Diversity, integration, and variability of intergenerational relationships in old age: New insights from personal network research.

Relationships between family members from different generations have long been described as a source of solidarity and support in aging populations and, more recently, as a potential risk factor for COVID-19 contagion. Personal or egocentric network research offers a powerful kit of conceptual and methodological tools to study these relationships, but this has not yet been employed to its full potential in the literature. We investigate the heterogeneity, social integration, and individual correlates of intergenerational relationships in old age analyzing highly granular data on the personal networks of 230 older adults (2747 social ties) from a local survey in one of the areas of the world at the forefront of global aging trends (northern Italy). Using information on different layers in broad egocentric networks and on the structure of connectivity among the social contacts of aging people, we propose multiple conceptualizations and measures of intergenerational connectedness. Results show that intergenerational relationships are strongly integrated, but also highly diverse and variable, in older adults' social networks. Different types of intergenerational ties exist in different network layers, with various relational roles, degrees of tie strength, and patterns of association with individual and tie characteristics. We discuss how new and existing personal network data can be leveraged to consider novel questions and hypotheses about intergenerational relationships in contemporary aging families.

Childlessness, Social Network Profiles in Midlife and Late Adulthood, and Their Implications for Subjective Well-Being.

OBJECTIVES: Despite the rising prevalence of individuals reaching advanced age without children, little is known about the diversity of support networks within childless populations. We examine the network profiles of childless adults aged 50+ in Singapore, which observes high childlessness rates despite societal emphasis on familism. METHODS: We employ latent class analysis to derive network typology based on a 2022 nationwide survey in Singapore. Additionally, we use logistic regression analyses to investigate the sociodemographic correlates of childless individuals' network types and the associations between these network types and subjective well-being. RESULTS: Childless Singaporeans form a heterogeneous group characterized by different support networks. Evidence suggests the centrality of parents in the childless' social networks and the continuity of parent-child support exchanges that extend into the child's midlife and late adulthood. When parents are absent, siblings/extended kin serve as their support sources. Age, sibship size, and socioeconomic status are key correlates of network types. Membership in diverse networks is beneficial to the subjective well-being of childless individuals. Although one-fifth of childless individuals in restricted networks demonstrate significantly poorer well-being, the remaining four-fifths show comparable, if not better, well-being than the non-childless. DISCUSSION: Results underscore the importance of differentiating network types among the childless, particularly when assessing their well-being. Contrary to the notion of associating later-life childlessness with social isolation and vulnerabilities, many childless Singaporeans manage to construct non-child-based networks equipped with various supportive relations that cater to their needs. Nevertheless, persistent vulnerabilities among restricted network members deserve policymakers' attention.

How do social networks, perception of social isolation, and loneliness affect depressive symptoms among Japanese adults?

OBJECTIVE: This study aims to elucidate the complex relationship among social isolation, loneliness, and perception of social isolation and its influence on depressive symptoms by evaluating a hypothetical model. This understanding is essential for the formulation of effective intervention strategies. METHODS: We conducted an online survey on Japanese adults (N = 3,315) and used the six-item Lubben Social Network Scale to assess the size of their social networks. We employed a single question to gauge their perception of social isolation. Loneliness was assessed using the three-item UCLA Loneliness Scale, and depressive symptoms were examined using the Patient Health Questionnaire-9. Structural equation modeling was employed to test the hypothesized model. RESULTS: The final model demonstrated satisfactory fit with data (χ2 (1) = 3.73; not significant; RMSEA = 0.03; CFI = 1.00; TLI = 1.00). The size of social network demonstrated a weak negative path to loneliness and depressive symptoms (ß = -.13 to -.04). Notably, a strong positive association existed between perception of social isolation and loneliness (ß = .66) and depressive symptoms (ß = .27). Additionally, a significant positive relationship was found between loneliness and depressive symptoms (ß = .40). Mediation analysis indicated that perception of social isolation and loneliness significantly intensified the relationships between social networks and depressive symptoms. CONCLUSIONS: Results indicate that interventions of psychological approaches, such as cognitive-behavioral therapy, are effective in reducing the perception of social isolation and loneliness, which may lead to the prevention of depressive symptoms. Future longitudinal studies are expected to refine and strengthen the proposed model.

"My Mother Persuaded Me to Have More Children", Understanding the Influence of Social Network on Fertility Behavior in Sub-Saharan Africa.

Introduction: Despite the adoption of an antenatal demographic transition model in sub-Saharan Africa, population growth continues to soar in the region. The reasons for population growth are nebulous and should be approached from different perspectives. Inadequate attention has been paid to how social pressures shape reproductive behavior. Thus, this study examines the association between social networks and fertility behavior in sub-Saharan Africa. Methods: This study used a cross-sectional design that employed a qualitative method to conduct 28 in-depth interviews among married women. Data was collected in 2023. Thematic analyses were utilized to interpret the results. Results: Parental pressure, the desire for more children, the desire for male children, values placed on children, norms, and pronatalist culture were associated with high fertility in sub-Saharan Africa. Conclusions: Thus, there is a need for more awareness of family planning and contraceptive use in order to reduce fertility in sub-Saharan Africa.

Faculty members as academic knowledge brokers in Iran's health sector: a social network analysis study.

BACKGROUND: Interaction between researchers and policymakers is an essential factor to facilitate the evidence-informed policymaking. One of the effective ways to establish this relationship and promote evidence-informed policymaking is to employ people or organizations that can play the role of knowledge brokers. This study aims to analyze the communication network and interactions between researchers and policymakers in Iran's health sector and identify key people serving as academic knowledge brokers. METHODS: This study was a survey research. Using a census approach, we administered a sociometric survey to faculty members in the health field in top ten Iranian medical universities to construct academic-policymaker network using social network analysis method. Network maps were generated using UCINET and NetDraw software. We used Indegree Centrality, Outdegree Centrality, and Betweenness Centrality indicators to determine knowledge brokers in the network. RESULTS: The drawn network had a total of 188 nodes consisting of 94 university faculty members and 94 policymakers at three national, provincial, and university levels. The network comprised a total of 177 links, with 125 connecting to policymakers and 52 to peers. Of 56 faculty members, we identified four knowledge brokers. Six policymakers were identified as key policymakers in the network, too. CONCLUSIONS: It seems that the flow of knowledge produced by research in the health field in Iran is not accomplished well from the producers of research evidence to the users of knowledge. Therefore, it seems necessary to consider incentive and support mechanisms to strengthen the interaction between researchers and policymakers in Iran's health sector.

The gene "degrees of kevin bacon" (dokb) regulates a social network behaviour in Drosophila melanogaster.

Social networks are a mathematical representation of interactions among individuals which are prevalent across various animal species. Studies of human populations have shown the breadth of what can spread throughout a social network: obesity, smoking cessation, happiness, drug use and divorce. 'Betweenness centrality' is a key property of social networks that indicates an individual's importance in facilitating communication and cohesion within the network. Heritability of betweenness centrality has been suggested in several species, however the genetic regulation of this property remains enigmatic. Here, we demonstrate that the gene CG14109, referred to as degrees of kevin bacon (dokb), influences betweenness centrality in Drosophila melanogaster. We identify strain-specific alleles of dokb with distinct amino acid sequences and when the dokb allele is exchanged between strains, flies exhibit the betweenness centrality pattern dictated by the donor allele. By inserting a GAL4 reporter into the dokb locus, we confirm that dokb is expressed in the central nervous system. These findings define a novel genetic entry point to study social network structure and thereby establish gene-to-social structure relationships. While dokb sequence homology is exclusive to Diptera, we anticipate that dokb-associated molecular pathways could unveil convergent neural mechanisms of social behaviour that apply in diverse animal species.

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).

How adolescents lose control over social networks: A process-based approach to problematic social network use.

Social networks (SNs) are immensely popular, especially among teenagers, yet our understanding of problematic SNs remains limited. Understanding motivations and patterns of use is crucial given the current prevalence of problematic SNs use. Perarles et al. (2020) distinguish two behavioral control modes: Model-Free Control, where actions are characterized by actions driven by immediate gratification without reflective consideration for long-term consequences, and Model-Based Control, enabling planned and goal-directed actions. Both control modes can lead to problematic social network use. This study aims to delve into problematic SNs use and the underlying motives behind adolescents' participation in SNs, drawing upon the theoretical proposal by Perales et al. (2020). We conducted four focus groups with adolescents aged 13-17 (50 % female; Mage = 14.5, SD = 1.75), comprising two public school and two Catholic private school groups. Thematic analysis using Atlas.ti software revealed three themes. The first uncovers characteristics of problematic SNs use, including withdrawal, increased usage time, impaired control, behavioral salience and attentional capture and cognitive hijacking. The second spotlights motives, emphasizing emotional regulation, finding out what is going on, and social interaction. The third theme explores consequences such as compromised academic performance and physical harm. In conclusion, addressing both motives and problematic behaviors present a more effective approach to confronting SNs use challenges and fostering healthier online experiences for adolescents.

Social network tie functions of social support and social influence and adult smoking abstinence.

Adults' social network ties serve multiple functions and play prominently in quitting smoking. We examined three types of adults' egocentric social networks, including family, friends, and friends online to investigate how two network characteristics with major relevance to health behavior, network size and tie closeness, related to the emotional and confidant support and to pro- and anti-smoking social influence these ties may transmit. We also examine whether the social support and social influence constructs related to smoking abstinence. We utilized baseline and 7-day abstinence survey data from 123 adult current smokers attempting to quit prior to the start of a randomized controlled quit-smoking trial of a social support intervention for quitting smoking on Twitter. To examine study relationships, we estimated Negative Binomial Regression models and Logistic Regression models. For all networks, network size and tie closeness related positively to most of the social support and social influence constructs, with tie closeness related most strongly, especially for online friends. Family pro-smoking social influence related negatively to smoking abstinence, and there were marginally negative relationships for family emotional support and family confidant support. Online friend emotional support had a marginally positive relationship with smoking abstinence. Overall, our findings indicated the importance of the social support and social influence functions of each type of network tie, with larger networks and closer ties related to higher levels of social support and social influence. Moreover, family network pro-smoking social influence may compromise abstinence while emotional support from online friend network ties may reinforce it.

Modelling social networks for children of parents with severe and enduring mental illness: an evidence based modification to the network episode model.

The Network Episode Model (NEM) is a well utilised model conceptualising how social networks, valuable resources which can positively impact wellbeing and functional outcomes, are responsive to the needs of people with physical and mental health difficulties. Children of parents with severe and enduring mental illness (COPMI) are impacted by these illnesses through the intersecting roles of kin relation, informal carer, and dependent. However, it is not clear that social networks effectively respond in kind to the child's episodic need.We draw upon qualitative data to propose a new multi-factorial conceptual model (COPMI-NEM), triangulating parental mental illness, child's developmental stage and social ties to theorise how social networks do respond and adapt to children's needs.The model illustrates how networks are typically flexible and responsive to visible age-related needs, but less reactive to more obscured needs. Successful network navigation and negotiation of support relies on multiple factors including the child's ability to successfully activate social ties and the availability of formal networks. We propose a new theoretically and empirically informed NEM model also available for testing, refinement and validation in other young carer populations exposed to episodic parental health needs. Findings from this study could be used to generate network informed interventions for this and comparable populations.

Unlocking the power of virtual networking for early-career researchers.

Many successful researchers in the biomedical sciences have benefitted from mentors and networks earlier in their career. However, early-career researchers from minoritized and underrepresented groups do not have the same access to potential mentors and networks as many of their peers. In this article we describe how 'cold emails' and social media platforms - notably Twitter/X and LinkedIn - can be used to build virtual networks, and stress the need to invest in maintaining networks once they have been established.

Social networks and risk of eating disorders in Chilean young adults.

Introduction: Introduction: in Western societies, social networks are prominent sources of information and entertainment, widely accessed due to internet availability. While social networks offer health benefits, their impact varies across generations and populations. Concerns arise about their influence on mental health, with potential hindrance to social relationships. Social networks are recognized as contributors to eating disorders, influencing nutritional behaviors and impacting self-perception negatively. For this, the objective of present study was determining the association between the risk of eating disorders (ED) and the use of social networks in young adults in the Araucanía Region of Chile. Methods: a descriptive cross-sectional study was conducted on the young adult population. The subjects were recruited online through crucial social networks between November and December 2021. A self-reported online form was administered, asking for sociodemographic variables, social network use, and risk of eating disorders. The EAT-26 was applied for the latter variable. To determine the association between variables, each condition was dichotomized against the presence or absence of ED risk. Results: a total of 370 responses were collected, representing females (62.7 %) primarily from the 20-28 age group (79.5 %) and from the university student group (54.9 %); 12.9 % of the sample were at risk of ED. The variables associated with a higher risk of an eating disorder were being female (p = 0.001), preference for Twitter (p = 0.017), interest in food influencers (p = 0.008), and perceived frequency of advertising (p = 0.007). Conclusion: in this sample, there is an association between the use of social networks and the risk of ED, but this depends mainly on the social network used and exposure/preference of food-related content.

Introducción: Introduction: en las sociedades occidentales, las redes sociales son fuentes destacadas de información y entretenimiento, ampliamente accesibles gracias a la disponibilidad de internet. Aunque ofrecen beneficios para la salud, su impacto varía entre generaciones y poblaciones. Surgen preocupaciones sobre su influencia en la salud mental, con un posible obstáculo para las relaciones sociales. Se reconoce que las redes sociales contribuyen a los trastornos alimentarios, influyendo en los comportamientos nutricionales y afectando negativamente la autopercepción. Por ello, el objetivo de este estudio fue determinar la asociación entre el riesgo de trastornos alimentarios (ED) y el uso de redes sociales en adultos jóvenes en la Región de la Araucanía, Chile. Methods: se llevó a cabo un estudio descriptivo transversal en la población de adultos jóvenes. Los sujetos fueron reclutados en línea a través de redes sociales clave entre noviembre y diciembre de 2021. Se administró un formulario en línea autoinformado, solicitando variables sociodemográficas, uso de redes sociales y riesgo de trastornos alimentarios. Se aplicó el EAT-26 para esta última variable. Para determinar la asociación entre variables, se dicotomizó cada condición frente a la presencia o ausencia de riesgo de ED. Results: se recopilaron un total de 370 respuestas, principalmente de mujeres (62,7 %) en el grupo de edad de 20-28 años (79,5 %) y de estudiantes universitarios (54,9 %). El 12,9 % de la muestra estaba en riesgo de ED. Las variables asociadas con un mayor riesgo de trastorno alimentario fueron el género femenino (p = 0,001), preferencia por Twitter (p = 0,017), interés en influencers de alimentos (p = 0,008) y percepción de la frecuencia de la publicidad (p = 0,007). Conclusion: en esta muestra, existe una asociación entre el uso de redes sociales y el riesgo de ED, pero esto depende principalmente de la red social utilizada y la exposición/preferencia de contenido relacionado con la alimentación.