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DOI 10.1016/j.jad.2019.03.005

Медицинская библиотека · Journal of affective disorders · 2019

Differentiating acute suicidal affective disturbance (ASAD) from anxiety and depression Symptoms: A network analysis.

Rogers Megan L, Hom Melanie A, Joiner Thomas E

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Аннотация

BACKGROUND

A growing body of literature supports the potential existence of a new clinical entity, Acute suicidal affective disturbance (ASAD), which is characterized by rapid-onset, acute suicidality. This study aimed to evaluate whether current ASAD symptoms (i.e., suicidal intent, thwarted belongingness, perceived burdensomeness, disgust with others and oneself, agitation, irritability, insomnia, and nightmares) comprise a psychopathological network distinct from anxiety and depression symptoms.

METHODS

A sample of 167 psychiatric inpatients completed self-report measures of current ASAD, anxiety, and depression symptoms.

RESULTS

Network analyses revealed three distinct clusters of symptoms corresponding to ASAD, anxiety, and depression symptom self-report measure items. Namely, ASAD symptoms not only demonstrated strong associations with each other, but they also exhibited weak associations with symptoms of anxiety and depression.

LIMITATIONS: This study utilized a cross-sectional design and distinct self-report measures to assess all constructs, which may have led to methodological confounds that influenced the observed network structure.

CONCLUSIONS

Overall, our findings provide further evidence for ASAD as a syndrome with strongly interrelated symptoms. Furthermore, results indicate that ASAD may represent a construct distinct from anxiety and depression, underscoring its potential diagnostic value. Additional research is needed to replicate these findings across other high-risk populations, as well as to examine how ASAD symptoms may relate to other psychiatric symptoms.

Для цитирования: Rogers Megan L, Hom Melanie A, Joiner Thomas E. Differentiating acute suicidal affective disturbance (ASAD) from anxiety and depression Symptoms: A network analysis.. Journal of affective disorders. 2019. DOI: 10.1016/j.jad.2019.03.005.

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