Network analyses of discrete emotions and social connectedness indicators in anxiety and depressive disorders

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Key Points

This research aims to explore how discrete emotions interact and their connections to social connectedness in anxiety and depressive disorders.
Utilized network analysis to study discrete emotions and social connectedness indicators among individuals with anxiety or depression.
Analyzed data from 359 adults completing measures on emotions and social connection.
Estimated three different models to assess emotions' influence on social connection and disconnection.
Hope, joy, and guilt/shame were identified as central emotions within their communities.
Sadness acted as a key link between positive and negative emotions.
Love was positively associated with feeling understood and negatively linked to lacking brother/sisterhood.

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Network analysis examines emotion interrelationships and their links to social connectedness in anxiety and depression, suggesting treatment avenues.

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Shriver et al. (2026) studied this question.

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