Using Bayesian statistics for modeling PTSD through Latent Growth Mixture Modeling: implementation and discussion [PDF]
Background: After traumatic events, such as disaster, war trauma, and injuries including burns (which is the focus here), the risk to develop posttraumatic stress disorder (PTSD) is approximately 10% (Breslau & Davis, 1992).
Sarah Depaoli +3 more
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Applications of Latent Growth Mixture Modeling and allied methods to posttraumatic stress response data [PDF]
Background: Scientific research into mental health outcomes following trauma is undergoing a revolution as scientists refocus their efforts to identify underlying dimensions of health and psychopathology.
Isaac R. Galatzer-Levy
doaj +5 more sources
Trajectories of Learned Helplessness in Maintenance Haemodialysis Patients and Their Predictive Effects on Self-Management: A Latent Growth Mixture Modeling Approach [PDF]
Chunyan Xie,1,2 Li Li,2,3 Yamin Li1 1Clinical Nursing Teaching and Research Section, the Second Xiangya Hospital, Central South University, Changsha, People’s Republic of China; 2XiangYa Nursing School, Central South University, Changsha, People’s ...
Xie C, Li L, Li Y
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Road Traffic Accidents (RTA) are a major worldwide public health problem. The aim of this study was to use the growth mixture model for clustering countries on the basis of the mortality rate patterns of RTAs from 2007 to 2013.
Masoud Salehi +3 more
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A Latent Growth Mixture Modeling Approach to PTSD Symptoms in Rape Victims. [PDF]
The research literature has suggested that longitudinal changes in posttraumatic stress disorder (PTSD) could be adequately described in terms of one universal trajectory, with individual differences in baseline levels (intercept) and rate of change (slope) being negligible. However, not everyone who has experienced a trauma is diagnosed with PTSD, and
Armour C +3 more
europepmc +7 more sources
Class Enumeration and Parameter Recovery of Growth Mixture Modeling and Second-Order Growth Mixture Modeling in the Presence of Measurement Noninvariance between Latent Classes [PDF]
Population heterogeneity in growth trajectories can be detected with growth mixture modeling (GMM). It is common that researchers compute composite scores of repeated measures and use them as multiple indicators of growth factors (baseline performance ...
Eun Sook Kim, Yan Wang
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A longitudinal study of early postoperative symptom cluster trajectories in patients with gynecologic malignancies [PDF]
Objective To explore the dynamic evolution of symptom clusters in patients with gynecologic malignancies during the early postoperative period and identify key transition points and influencing factors, providing evidence for precision symptom management
Liu Jiarui +7 more
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Electroconvulsive therapy-induced motor seizure length trajectories and their association with clinical remission: a retrospective cohort study across diagnoses [PDF]
BackgroundElectroconvulsive therapy (ECT) is a well-established treatment for severe psychiatric conditions, yet optimal process markers for predicting therapeutic response remain under investigation.
Eduardo Tedeschi +3 more
doaj +2 more sources
Predicting Trajectories of Everyday Functioning in Adults Aging with HIV Using Latent Growth Mixture Modeling. [PDF]
Abstract As the U.S. population of people with HIV (PWH) ages, PWH exhibit high rates of adverse health outcomes including everyday functioning decline. We aimed to (1) identify trajectories of self-reported everyday functioning and (2) examine baseline predictors (demographics, cognitive domains, psychiatric and medical comorbidities, HIV ...
Ham L +5 more
europepmc +3 more sources
Retraction: Identifying developmental trajectories of worldwide road traffic accident death rates using a latent growth mixture modeling approach. [PDF]
PLOS ONE Editors
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