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Illness pathways between eating disorder and post-traumatic stress disorder symptoms: Understanding comorbidity with network analysis.

ABSTRACT: Eating disorders (EDs) and post-traumatic stress disorder (PTSD) are highly comorbid. However, specific mechanisms by which PTSD-ED comorbidity is maintained are unknown. The current study constructed two PTSD-ED comorbidity networks (25 EDs and 17 PTSD symptoms) in two samples: a clinical (N = 158 individuals with an ED diagnosis) and a nonclinical sample (N = 300 college students). Glasso networks were constructed to identify (1) pathways between disorders (bridge symptoms) and (2) core symptoms. Three illness pathways emerged: between binge eating and irritability, between desire for a flat stomach and disturbing dreams, and between concentration problems and weight and shape-related concentration problems. Our findings suggest that pathways between binge eating and irritability, body dissatisfaction and trauma reminders, and concentration difficulties may be the mechanisms by which comorbidity is maintained. Interventions disrupting these pathways and targeting core and bridge symptoms may be more efficient than traditional treatment approaches.

SUBMITTER: Vanzhula IA

PROVIDER: S-EPMC6361526 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Illness pathways between eating disorder and post-traumatic stress disorder symptoms: Understanding comorbidity with network analysis.

Vanzhula Irina A IA Calebs Benjamin B Fewell Laura L Levinson Cheri A CA

European eating disorders review : the journal of the Eating Disorders Association 20180807 2

Eating disorders (EDs) and post-traumatic stress disorder (PTSD) are highly comorbid. However, specific mechanisms by which PTSD-ED comorbidity is maintained are unknown. The current study constructed two PTSD-ED comorbidity networks (25 EDs and 17 PTSD symptoms) in two samples: a clinical (N = 158 individuals with an ED diagnosis) and a nonclinical sample (N = 300 college students). Glasso networks were constructed to identify (1) pathways between disorders (bridge symptoms) and (2) core sympto ...[more]

PMID: 30084217

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Project description:BackgroundFirefighters, as first responders with a high risk of occupational exposure to traumatic events and heavy working stress, have a high prevalence of PTSD symptoms and depressive symptoms. But no previous studies analyzed the relationships and hierarchies of PTSD and depressive symptoms among firefighters. Network analysis is a novel and effective method for investigating the complex interactions of mental disorders at the symptom level and providing a new understanding of psychopathology. The current study was designed to characterize the PTSD and depressive symptoms network structure in the Chinese firefighters.MethodThe Primary Care PTSD Screen for DSM-5 (PC-PTSD-5) and the Self-Rating Depression Scale (SDS) were applied to assess PTSD and depressive symptoms, respectively. The network structure of PTSD and depressive symptoms was characterized using "expected influence (EI)" and "bridge EI" as centrality indices. The Walktrap algorithm was conducted to identify communities in the PTSD and depressive symptoms network. Finally, Network accuracy and stability were examined using the Bootstrapped test and the case-dropping procedure.ResultsA total of 1,768 firefighters were enrolled in our research. Network analysis revealed that the relationship between PTSD symptoms, "Flashback" and "Avoidance," was the strongest. "Life emptiness" was the most central symptom with the highest EI in the PTSD and depression network model. Followed by "Fatigue" and "Interest loss." Bridge symptoms connecting PTSD and depressive symptoms in our study were "Numb," "High alertness," "Sad mood," and "Compunction and blame," successively. The data-driven community detection suggested the differences in PTSD symptoms in the clustering process. The reliability of the network was approved by both stability and accuracy tests.ConclusionTo the best of our knowledge, the current study first demonstrated the network structure of PTSD and depressive symptoms among Chinese firefighters, identifying the central and bridge symptoms. Targeting interventions to the symptoms mentioned above may effectively treat firefighters suffering from PTSD and depressive symptoms.

Project description:RationaleChronically critically ill patients are often dependent on family members for surrogate decision-making, and these surrogates are at high risk for emotional distress. We hypothesized that patient- and surrogate-specific risk factors for surrogate post-traumatic stress disorder (PTSD) symptoms can be identified early in the course of chronic critical illness.ObjectivesTo identify risk factors for PTSD symptoms in surrogate decision-makers of chronically critically ill patients.MethodsWe performed a secondary analysis of the database from a multicenter randomized trial of a communication intervention for chronic critical illness patients and surrogates. Variables preselected for plausible mechanism for increasing PTSD symptoms and identifiable by Day 10 of mechanical ventilation were included in the analysis for association with surrogate PTSD symptoms at 90 days, as measured by the Impact of Events Score-Revised (IES-R). Patient factors included demographics, insurance status, baseline functional status, chronic comorbidities, illness severity, and presence of advance directive. Surrogate variables included demographics, education level and employment, religion, relationship to patient, and Hospital Anxiety and Depression Scale score measured at enrollment. Multivariable linear regression models were then constructed for 26 potential risk factors, including biologically or mechanistically plausible confounders for each, with IES-R score as the outcome. All models were adjusted for multiple respondents, using a mixed model, considering the patients as a random factor.ResultsOur analysis included 306 surrogates for 224 patients. A total of 49% of patients were female, and mean age was 59 years (95% confidence interval [CI], 56.4-60.7). A total of 71% of surrogates were female, and mean age was 51 years (95% CI, 49.3-52.4). After examining each potential risk factor in a separate multivariable model, only Day-10 surrogate Hospital Anxiety and Depression Scale score (? coefficient?=?1.02; 95% CI, 0.73-1.30) and patient unresponsiveness (? coefficient?=?8.39; 95% CI, 0.83-15.95) were associated with higher IES-R scores.ConclusionsAmong surrogate decision-makers for chronically critically ill patients, high anxiety and depression scores and patient unresponsiveness on or near Day 10 of mechanical ventilation are risk factors for PTSD symptoms at 90 days.

Dataset Information

Illness pathways between eating disorder and post-traumatic stress disorder symptoms: Understanding comorbidity with network analysis.

Publications

Illness pathways between eating disorder and post-traumatic stress disorder symptoms: Understanding comorbidity with network analysis.

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