2017
DOI: 10.1024/1662-9647/a000170
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Networks of Depression and Cognition in Elderly Psychiatric Patients

Abstract: Abstract. Objective: Applying the network approach to explore connections between depression and cognition in dependency on cognitive status. Methods: 264 patients from a ward for geriatric psychiatry with depressive symptoms and/or cognitive impairment were included in the study. Assessments of neuropsychological functioning (CERAD, TMT, Clock) and depression (Geriatric Depression Scale) were used. Results: “Hopelessness” and “loss of energy” are the most pivotal nodes in the depression network. Various conne… Show more

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“…By applying the standard cutoff for assessing the risk status (i.e., SCS score ≥ 24), 51.2% of the whole sample was classified at low risk and 48.8% at high risk. It is mentioning that sample splitting based on median or specific cutoff scores has been adopted in previous network analysis studies (McNally et al, 2014;Semino et al, 2017;Siew et al, 2019). The network of CSB was estimated in individuals at low or high risk (Figure S11), in a reliable and stable manner (Figure S12; CS-coefficient = 0.75 for both networks).…”
Section: Network and Mean Level Differences By Risk Statusmentioning
confidence: 99%
“…By applying the standard cutoff for assessing the risk status (i.e., SCS score ≥ 24), 51.2% of the whole sample was classified at low risk and 48.8% at high risk. It is mentioning that sample splitting based on median or specific cutoff scores has been adopted in previous network analysis studies (McNally et al, 2014;Semino et al, 2017;Siew et al, 2019). The network of CSB was estimated in individuals at low or high risk (Figure S11), in a reliable and stable manner (Figure S12; CS-coefficient = 0.75 for both networks).…”
Section: Network and Mean Level Differences By Risk Statusmentioning
confidence: 99%