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.

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.

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.
CONCLUSIONS: 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.
BACKGROUND: The protocol was registered on May 1, 2024, on the Prospero International Prospective System with registration number CRD42024531036.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: Multivariable linear regression analyses revealed that food insecurity was significantly positively associated with both depressive (β = 0.449, SE = 0.024) and anxiety symptoms (β = 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.
UNASSIGNED: 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.

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 .

OBJECTIVE: 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.
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.

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.

OBJECTIVE: Social contact may alleviate loneliness, but little is known about within-person daily fluctuations in loneliness and social encounters. Older adults who feel lonely may engage in different modes of social contact (in-person, phone, digital). This study asked how different forms of contact are associated with loneliness throughout the day.
METHODS: Participants were 313 community-dwelling older adults (aged 65-90). They completed ecological momentary assessments reporting on their social encounters (e.g., type of social partner, mode of contact) and their loneliness every 3 hr for 5-6 days. We differentiated close social ties from ties not identified as close (i.e., weak ties).
RESULTS: We examined within-person effects using multilevel models. Findings revealed that momentary loneliness predicted a greater likelihood of phone contact in the next 3 hr. However, only in-person contact was associated with lower levels of loneliness. Regarding close and weak ties, momentary loneliness was associated with more in-person and phone contact with close ties, yet fewer in-person contacts with weak ties. In-person contact with both close and weak ties predicted lower levels of loneliness.
CONCLUSIONS: Although older adults engage in both in-person and phone contact when they feel lonely, it appears that only in-person contact may reduce loneliness. Digital contact was not widely adopted as a response to momentary loneliness among these older adults. Findings underscore older adults\' willingness to maintain regular contact with close ties. Interventions addressing older adults who are lonely may consider innovative approaches to increase in-person contact.

Due to the importance of COVID-19 control, innovative methods for predicting cases using social network data are increasingly under attention. This study aims to predict confirmed COVID-19 cases using X (Twitter) social network data (tweets) and deep learning methods. We prepare data extracted from tweets by natural language processing (NLP) and consider the daily G-value (growth rate) as the target variable of COVID-19, collected from the worldometer. We develop and evaluate a time series mixer (TSMixer) predictive model for multivariate time series. The mean squared error (MSE) loss on the test dataset was 0.0063 for 24-month Gvalue prediction when using the MinMax normalization with recursive feature elimination (RFE) and average or min aggregation method. Our findings illuminate the potential of integrating social media data to enhance daily COVID-19 case predictions and are applicable also for epidemiological forecasting purposes.

The elders in China\'s rural areas are facing challenges in maintaining agricultural production due to the outflow of rural laborers. The Transfer of land could alleviate the burden of land-based livelihoods for rural elders, but their decisions regarding land transfer are influenced by their social networks within the context of Chinese rural society. This study investigates how social networks impact the willingness of rural elders to transfer land. Using survey data from 782 rural elders in 32 villages across 11 provinces in China, this paper applies multilinear and binary logistic regression models. The results indicate that the willingness of rural elders to transfer land is affected by their social neteork: (1) Internal network scale, network heterogeneity, and frequency of external network relationships have a significantly positive influence on rural elders\' willingness to transfer land, while frequency of internal network relationships has a significantly negative influence. (2) There are group differences in the above impacts, and these significant impacts occur only among male elderly individuals aged 60-69 years old or living in central and western regions. (3) Social networks primarily influence rural elders\' willingness to transfer land through three mechanisms: information consultation, interpersonal trust, and material resource acquisition. A larger internal social network scale, higher heterogeneity within the network, and more frequent interactions with members of external networks lead to greater access to useful information, higher levels of trust in others, increased material resources availability, and an increased likelihood of transferring land. These findings can inform government policies aimed at improving practices related to land transfers and old age security for rural elders.