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Increases in video game use have led to mental health concerns, citing greater risk for depressive symptoms (DS) and reduced “in-real-life” (IRL) social involvement. However, recent studies have uncovered potential social benefits for online gaming. Many games provide avenues to extend real life relationships and make new online friendships. The purpose of this pilot study is to use social network analysis to determine associations between connections and DS in a gaming community.

As a pilot study, members of an online gaming site were asked to report demographic characteristics, DS, IRL social support, online social support and IRL people and members of the online community with whom they spoke to about important life matters. Multi-level modeling was used to parse variance described by demographic characteristics, IRL measures and online measures. Linear network autocorrelation modeling (LNAM) was used to determine relationships between network connections and DS.

Members (n = 37; µ = 24.76 years old, SD = 6.55; 100% male; 89.2% white) on average felt DS’ “not at all” to “several days” over the past two weeks. Multi-level modeling including online network measures explained 50% of variance (R² = 0.50, F (9,27) = 2.98, p = 0.01); online connections were associated with DS (ß = 0.46). LNAM indicated DS were associated with IRL support (ß = −2.66), IRL connections (ß = 1.81), online support (ß = 2.40) and network effects (ß = 0.06), which indicates that a gamer’s DS were similar to those of their online connections.

Members with more DS may be seeking help via online channels. This may be important for future research to consider alternative forms of help-seeking behavior.

Boys & Girls Clubs of America (BGCs) provide numerous avenues for youth to connect, be physically active and have healthy meals/snacks. These services are often provided to low-income families at reduced cost to bridge the gap in after school and summer childcare. However, many of these clubs were forced to dramatically change their services during the COVID-19 pandemic. This study aims to examine how 13 BGCs in Texas, USA, experienced COVID-19 and persevered to provide services.

Interviews were conducted with 16 BGC leaders from 13 different BGCs. Open-ended questions were used to elicit leaders’ experiences with the pandemic, services their clubs were able to offer, barriers overcome and supports crucial to their ability to serve their communities. Thematic analysis was used to generate findings from these interviews.

BGC services changed significantly during the pandemic. Normal activities were no longer possible; however, leaders (alongside their communities) continually provided services for their families. Further, leaders reiterated the power of the community coming together in support of their families.

While BGC leaders had to adapt services, they found ways to reach families and serve their community. These adaptations can have dramatic impacts on the social and physical well-being of children in their communities. Learning from this adversity can improve services as clubs start to build back.

This study provides vital context to the changing care and setting children were exposed to during the pandemic response. Additionally, these results provide understanding of the adaptations that took place in these services.

The health equity and prosperity of communities is closely linked to the effectiveness and success of local health coalitions. Social network analysis (SNA) is one mechanism to quantify and understand the factors leading to collaboration and effectiveness within these coalitions. This study aims to investigate network characteristics associated with perceived success and satisfaction in a health coalition and determine significant factors related to organizational collaborations.

This study examined the Olympic Peninsula Healthy Community Coalition (OPHCC) which aims to prevent chronic disease in rural Clallam County, Washington. Representatives (n = 21) from member organizations (n = 18) were asked to report on organization characteristics, perceived satisfaction in coalition activities, perceived success toward coalition's mission, and collaborations with other organizations in the coalition. Multilevel modeling used to analyze whether an organization's position within the coalition network was associated with their perceived satisfaction and perceived success. Exponential random graph modeling was used to examine what factors may impact collaboration ties between coalition members.

Organization representatives reported a total of 252 collaboration ties. In multilevel models, organization characteristics and network centrality scores accounted for between 61 and 68% of variance displayed in satisfaction scores and 45–61% of variance in perceived success scores. Exponential random graph modeling revealed activity level, for-profit status, and transitivity as significant factors in collaborative tie presence.

Encouraging consistent active participation, a balance of organizational type, and projects which require more than two collaborators may provide an environment for collaborative ties between organizations.