Breaking Bonds: Rupturing Familial and Social Networks through Supervisory Bail Conditions

The role of social networks: A novel hypothesis to explain the phenomenon of racial disparity in kidney transplantation

Social relationships play an important role in organizational entrepreneurship. They are crucial to entrepreneurs' decisions because, despite the bleeding-edge technological advancements observed nowadays, entrepreneurs as human beings will always strive to be social. During the COVID-19 pandemic many companies moved activities into the virtual world and as a result offline Social relationships became rarer, but as it turns out, even more valuable, likewise, the inter-organizational cooperation enabling many companies to survive. This chapter aims to develop knowledge about entrepreneurs' SR and their links with inter-organizational cooperation. The results of an integrative systematic literature review show that the concept of Social relationships, although often investigated, lacks a clear definition, conceptualization, and operationalization. This chapter revealed a great diversity of definitions for Social relationships, including different scopes of meaning and levels of analysis. The authors

Older adults’ family networks and social networks are important factors that influence life satisfaction, but their transmission mechanisms have not been adequately discussed. The objective of this study was to examine the mechanisms through which family networks and social networks influence the life satisfaction of older adults. We empirically examined the effects and mechanisms of older adults’ family networks and social networks on their life satisfaction using the 2018 China Longitudinal Aging Social Survey with a sample size of 11,418 older adults aged 60 years and older. In the research sample, 6.47% of older adults were subjected to at least one form of mistreatment. The research results indicate that family networks (β = 0.0060, p < 0.05) and social networks (β = 0.0122, p < 0.01) have a significant positive effect on older adults’ life satisfaction. The mechanism-of-action test found that family networks and social networks enhance older adults’ life satisfaction, mainly by reducing the level of physical mistreatment they experience, but these networks cannot improve the life satisfaction of the elderly by reducing their emotional mistreatment. Further research found that community-provided medical escorts, home chores, and meal delivery services can all alleviate the decline in life satisfaction among older adults due to emotional mistreatment. This study deepens our understanding of how older adults’ family and social networks affect their life satisfaction as we examine the mediating role of the physical and emotional mistreatment of older adults and discuss the effects of potential policy interventions.

Social network analysis has been postulated as a tool to study potential pathogen transmission in wildlife but is resource-intensive to quantify. Networks based on bacterial genotypes have been proposed as a cost-effective method for estimating social or transmission network based on the assumption that individuals in close contact will share commensal bacteria. However, the use of network analysis to study wild populations requires critical evaluation of the assumptions and parameters these models are founded on. We test (a) whether networks of commensal bacterial sharing are related to hosts' social associations and hence could act as a proxy for estimating transmission networks, (b) how the parameters chosen to define host associations and delineate bacterial genotypes impact inference and (c) whether these relationships change across time. We use stochastic simulations to evaluate how uncertainty in parameter choice affects network structure. We focused on a well-studied population of eastern grey kangaroos (Macropus giganteus), from Sundown National Park, Australia. Using natural markings, each individual was identified and its associations with other kangaroos recorded through direct field observations over 2years to construct social networks. Faecal samples were collected, Escherichia coli was cultured and genotyped using BOX-PCR, and bacterial networks were constructed. Two individuals were connected in the bacterial network if they shared at least one E.coli genotype. We determined the capacity of bacterial networks to predict the observed social network structure in each year. We found little support for a relationship between social association and dyadic commensal bacterial similarity. Thresholds to determine host associations and similarity cut-off values used to define E.coli genotypes had important ramifications for inferring links between individuals. In fact, we found that inferences can show opposite patterns based on the chosen thresholds. Moreover, no similarity in overall bacterial network structure was detected between years. Although empirical disease transmission data are often unavailable in wildlife populations, both bacterial networks and social networks have limitations in representing the mode of transmission of a pathogen. Our results suggest that caution is needed when designing such studies and interpreting results.

Faculty development is increasingly acknowledged as an important aspect of health professions education. Its conceptualization has evolved from an individual skills training activity to contemporary notions that draw on an organizational model. This organizational model recognizes relationships and networks as important mediators of knowledge mobilization. Although such conceptual advancements are critical, we lack empirical evidence and robust insights into how social networks function to shape learning in faculty development. The purpose of this study was to understand how informal professional social networks influence faculty development learning in the health professions. This study used a qualitative social network approach to explore how teaching faculty's relationships influenced their learning about teaching. The study was conducted in 2018 in an undergraduate course at a Canadian medical school. Eleven faculty participants were recruited, and 3 methods of data collection were employed: semistructured interviews, participant-drawn sociograms, and demographic questionnaires. The social networks of faculty participants influenced their learning about teaching in the following 4 dimensions: enabling and mobilizing knowledge acquisition, shaping identity formation, expressing vulnerability, and scaffolding learning. Faculty developers should consider faculty's degree of social embeddedness in their professional social networks, as our study suggests this may influence their learning about teaching. The findings align with recent calls to conceptually reorient faculty development in the health professions as a dynamic social enterprise.

Family networks and significant relationships with other people are seen as sources of different types of support. Kinship and social networks differ between individuals, as they are shaped by family biographies and the survival of their members. The aim of the paper was to examine the size and the structure of family and social networks among older people in selected European countries, while taking into account differences by sex, age, parental status, and country. Data from the wave 6 of SHARE survey, carried out in 17 European countries, was used. The older people’s family networks were quite large (on average, 7.8 persons), while their social networks were much smaller (on average, 2.6 persons). The family and social networks differed slightly by sex and age group, but significantly between the analysed countries. Although the size and composition of family and social networks differed significantly by parental status, the differences in SN size were much smaller between older parents and people without surviving children. The study contributes to family demography research by estimation the size and the composition of family and social networks among older people in European countries.

The study aims to analyze scientific publications on the association between social networks, social relationships, and social support for sports coaches. It seeks to identify the types and levels of social support provided by various agents, and to understand the impact of this support on coaches' wellbeing. The goal is to help coaches better utilize social support, thereby enhancing their quality of life, work, and performance. This study systematically reviewed 11 scientific articles to investigate the association between social support, social networks, and social relationships in sports coaches. It aimed to identify the types and levels of social support offered to coaches by family members, peers, and friends. Our research utilized the PRISMA guidelines for systematic reviews and assessed study quality using the STROBE Statement. Eligibility was determined by the PECOS criterion based on the search strategy terms. Our findings indicate that social support has significant positive effects on sports coaches. It enhances selfcompassion, prevents burnout symptoms, boosts job and life satisfaction, and reduces stress levels. Organizational support, characterized by clear guidelines, guidance, and autonomy, yielded positive outcomes. Conversely, the absence of social support correlated with negative outcomes for coaches, including lower self-compassion, increased stress and burnout symptoms, reduced job and life satisfaction, and heightened work-family conflict. Coaches' social networks encompassed family members, peers, friends, and other sources, with friends perceived as the most influential. Maintaining an effective social support network is crucial for coaches' performance and psychological wellbeing. This systematic review emphasizes the importance of social support for coaches in both their personal and professional lives, noting its positive effects and the negative consequences of its absence. Given the demanding nature of coaching, improving social support systems can enhance coaches' wellbeing and the success of sports activities.

Together We Can Improve Outcomes in Kidney Failure: Examining Social Networks in Hemodialysis

Appetite loss in older adults raises the risk of malnutrition and frailty. The recent emphasis on psychological and social support for appetite loss reveals the importance of robust social networks. Depression is linked to a decline in appetite and social networks. Social networks may influence appetite directly and indirectly through depression. This exploratory cross-sectional study categorizes social networks into family and friend networks to elucidate their direct and indirect effects. The study analyzed 193 community-dwelling older adults (women 78.2%; mean age 77.1±5.3 years) who participated in health-checkup events in two cities in Japan. Appetite was assessed using the Japanese version of the Simplified Nutritional Appetite Questionnaire, and family and friend networks were assessed using the Lubben Social Network Scale-6. Depression was assessed using the Geriatric Depression Scale-15. Based on previous research, we constructed a causal model examining the impacts of family and friend social networks and depression on appetite and calculated the direct and indirect effects through structural equation modeling. The family network had a direct effect on appetite (path coefficient=0.18) and an indirect effect via depression (path coefficient=0.0608). Conversely, the friend network was not directly associated with appetite but had an indirect effect through depression (path coefficient=0.095). The model exhibited a good fit. The mechanism of influence on appetite varied between the networks. To prevent appetite loss, social networks with family and friends should be assessed separately, and tailored support should be provided for each.

BackgroundResearch has consistently found that favourable exchange with one’s proximal social environment has positive effects on both mental health and wellbeing. Adults with physical disabilities may have fewer opportunities of favourable exchange, and therefore the effects on mental health and wellbeing may be less advantageous. The aim of this study is to systematically review quantitative studies exploring associations of social relationships with mental health and wellbeing in persons with physical disabilities.MethodsThe databases PubMed, PsycINFO and Scopus were searched for relevant studies published between 1995 and 2016. Data was extracted on study and participants’ characteristics, independent and dependent variables, used measures and effects sizes of associations between social relationships and mental health or wellbeing. A narrative review was performed to synthesize findings along the constructs social support, social networks, negative social interactions, family functioning and relationship quality.ResultsOf the 63 included studies, 47 were cross-sectional and 16 longitudinal. Most studies included a measure of social support (n = 58), while other concepts were less often studied (social networks n = 6; negative social interaction n = 3; family functioning n = 2; relationship quality n = 1). Over half of studies included depression as outcome (n = 33), followed by wellbeing (n = 14), composite mental health measures (n = 10), anxiety (n = 8), psychological distress (n = 7), posttraumatic stress disorder (n = 3), and hopelessness (n = 1). Although trends for associations of social support with mental health and wellbeing were consistent, around a quarter of studies failed to report significant associations. Social networks were related to depression, but not to other mental health or wellbeing measures. Family functioning, negative social interactions and relationship quality showed consistent associations with mental health and wellbeing, however, only few studies were available.ConclusionsThis review indicates that social relationships play an important role in mental health and wellbeing in persons with disabilities, although findings are less consistent than in general populations and strength of associations vary between constructs. Integrating persons with disabilities into social networks seems not sufficient and rehabilitation professionals together with affected persons and their peers should ensure that high quality relationships and tailored support are available.

Reduced social activities and networks, but not social support, are associated with cognitive decline among older chinese adults: A prospective study

Social support network, social support, self-efficacy, health-promoting behavior and healthy aging among older adults: A pathway analysis

For researchers and practitioners interested in social relationships, the question remains as to how large social networks typically are, and how their size and composition change across adulthood. On the basis of predictions of socioemotional selectivity theory and social convoy theory, we conducted a meta-analysis on age-related social network changes and the effects of life events on social networks using 277 studies with 177,635 participants from adolescence to old age. Cross-sectional as well as longitudinal studies consistently showed that (a) the global social network increased up until young adulthood and then decreased steadily, (b) both the personal network and the friendship network decreased throughout adulthood, (c) the family network was stable in size from adolescence to old age, and (d) other networks with coworkers or neighbors were important only in specific age ranges. Studies focusing on life events that occur at specific ages, such as transition to parenthood, job entry, or widowhood, demonstrated network changes similar to such age-related network changes. Moderator analyses detected that the type of network assessment affected the reported size of global, personal, and family networks. Period effects on network sizes occurred for personal and friendship networks, which have decreased in size over the last 35 years. Together the findings are consistent with the view that a portion of normative, age-related social network changes are due to normative, age-related life events. We discuss how these patterns of normative social network development inform research in social, evolutionary, cultural, and personality psychology.

Childhood obesity is a pressing global public health concern shaped by genetic, nutritional, lifestyle, and socio-economic factors. This study examines the influence of distinct social networks—family, neighborhood, internet, and social-cultural networks—on childhood obesity. To assess each network's impact, scrutinizing their contributing factors and interactions to inform effective policy development. The study employs a comprehensive literature review, incorporating data from Chinese and English sources. It utilizes the Social Ecological Model (SEM) to analyze the impact of the family network on childhood obesity and examines various factors within the neighborhood environment. The study also investigates the influence of internet social networks, particularly through social media influencer marketing, and explores the impact of social and cultural networks, with a focus on China and the United States. The family network significantly influences childhood obesity, with factors like parental characteristics, age, race, and gender exhibiting associations. Proximity to food outlets and physical activity facilities within the neighborhood plays a key role. Internet social networks can sway children's dietary choices, with influencers promoting unhealthy foods leading to increased consumption. Social and cultural networks in different contexts contribute, influenced by traditional beliefs and migration dynamics. This study underscores the intricate and multifaceted influence of social networks on childhood obesity, highlighting the roles played by each network in shaping children's weight status and dietary choices. Understanding these network dynamics is vital for designing effective prevention and intervention strategies.

This study assessed relationship characteristics and social capital from the perspective of interdependent linkage between sharing economy businesses and consumers, which can create the social network and relationship competitive advantage. It verified the importance of the creative production process of the value network of sharing economy businesses. For this purpose, the statistical techniques were used to perform frequency, reliability/validity, suitability, and path analyses on 522 subjects active in sharing economy service communities. A structural model was thus proposed. The results of the study are as follows. First, the results of the path analysis between the relationship characteristics and social network (social relationships, social commitment) of sharing economy businesses showed that mutual influence and emotional connection had a significant effect on social relationships, and mutual influence, sense of belonging, and emotional connection had a significant effect on social commitment. Second, the results of the path analysis between social capital and social network (social relationships, social commitment) of sharing economy businesses showed that pursuit for self-fulfillment, social participation, and pleasure had a significant effect on social commitment. Third, the results of the path analysis between the social relationships, social commitment, relationship competitive advantage, and continuance commitment of sharing economy businesses showed that social relationships and social commitment had a significant effect on relationship competitive advantage, while relationship competitive advantage had a significant effect on continuance commitment.