People with severe mental illness often face years of poor health before diagnosis. A new study uses machine learning and clinical notes to map the early warning networks of symptoms that could help us intervene earlier.
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Nervousness, irritability, excessive worry, uncontrollable worry… not all anxiety symptoms weigh the same at different ages. This new Chineses study shows how anxiety networks tighten as young people grow older, and where the best intervention targets may lie.
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Giulia Piazza and Jonathan Roiser explore a recent network analysis and ecological momentary assessment study, which provides clear evidence that the relationships between depressive symptoms vary between individuals with depression who are matched on overall depression severity.
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Olga Lainidi summarises a network analysis exploring the interconnecting symptoms between PTSD, generalised anxiety disorder, and depression among First Responders based in the United States.
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Shania Lorenz summarises a recent network analysis on the complex pathways to suicide and suicidal thoughts among autistic people, which may include a lack of caring and supportive friends, feeling like an outsider, movement differences like restlessness, and mental health problems like anxiety.
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Mark-Steven Howe takes a detailed look at this review update and network meta-analyses of periodontal regenerative therapies. He highlights the inclusion of non-resorbable membrane studies that are no longer used.
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Katie Finning explores a recent network analysis of internalising disorders (e.g. depression, anxiety, phobias) in children and adolescents, which demonstrates the interconnected nature of internalising symptoms, and challenges the view that such pathology takes the form of distinct disorders.
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