Comorbidity of posttraumatic stress disorder and depression among adolescents following an earthquake: A longitudinal study based on network analysis

Dynamic networks of complex posttraumatic stress disorder and depression among college students with childhood trauma: insights from cross-sectional and cross-lagged panel network analysis

Background and Objective: There is a current research gap regarding the symptom structure and underlying causal relationships between complex posttraumatic stress disorder (CPTSD) and depressive symptoms. This longitudinal study used a cross-sectional network and cross-lag panel network (CLPN) to examine how CPTSD and depression symptoms interact over time in Chinese college students with childhood trauma.Methods: From 18,933 college students who took part in 2 surveys 12 months apart, 4006 participants (mean age: 20.07 ± 2.04) who reported childhood trauma were screened. Within this sample, there were 2354 (58.8%) males and 1652 (41.2%) females.Results: In the one-year interval CLPN model, it was found that depressive symptoms may precede other symptoms. Specifically, negative emotions and negative self-evaluations are more likely to predict subsequent symptoms. Conversely, in CPTSD, symptoms related to fear and anxiety, such as avoidance, intrusion, and hyperarousal, are more frequently activated by other symptoms, including negative emotionsConclusions: This finding offers a novel perspective on the interplay between CPTSD and depression, extending the existing theory. From a clinical standpoint, the points of intervention for comorbidity between depression and CPTSD who have experienced childhood trauma differ across different stages.

Posttraumatic stress disorder symptoms in mothers and adolescents after the Wenchuan earthquake: A cross-sectional and longitudinal network analysis

OBJECTIVE

This study used network analysis to investigate the cross-sectional and longitudinal network between PTSD symptoms within mother-adolescent dyads at 12 and 18 months after the 2008 Wenchuan earthquake.

METHODS

The sample was from the Wenchuan Earthquake Adolescent Health Cohort. 399 mother-adolescent dyads completed the Posttraumatic Stress Disorder Self-Rating Scale at 12 and 18 months after the earthquake. We assessed central symptoms (those with the most significant influence on other symptoms) and bridge symptoms (symptoms connecting different communities) in contemporary networks (i.e., cross-sectional networks). Subsequently, cross-lagged panel network analyses (CLPN) were performed to estimate longitudinal relationships among symptoms between dyads.

RESULTS

In the contemporary networks, symptoms such as "intrusive thoughts" of both dyads and "flashbacks" of adolescents were central, indicating that they are crucial in maintaining the network of PTSD symptoms. Additional symptoms such as maternal "difficulty in concentration" and dyads' "pessimism and disappointment" should also be considered because of their central roles. Moreover, the temporary network did not directly replicate the contemporary networks, with adolescents' "nightmares" at 12 months having a high influence on other PTSD symptoms at 18 months.

LIMITATIONS

Self-reported tools other than clinical diagnoses were used to collect data.

CONCLUSIONS

These symptom-level associations at cross-sectional and longitudinal networks extend our understanding of PTSD symptoms among mother-adolescent dyads by pointing to specific key symptoms of PTSD that may drive the co-occurrence of PTSD among dyads. Recognizing these symptoms is imperative for the development of targeted interventions and treatments aimed at addressing comorbid PTSD in mother-adolescent dyads.

Longitudinal Association Between Posttraumatic Stress Symptoms and Depression Symptoms Among Chinese Adolescents During COVID-19: Evidence from Network Perspective

Although there are an increasing number of studies that have explored the mental health consequences of COVID-19 focusing on revealing risk factors, the longitudinal research examining the potential mechanism of the co-occurrence of posttraumatic stress symptoms (PTSS) and depression symptoms among adolescents were scarce. The present study identified the important comorbidity symptoms and explored longitudinal relationship of PTSS and depression symptoms from the network perspective. A two-wave investigation (4 months interval; T1 and T2) was conducted with a sample of 1225 Chinese adolescents. Cross-sectional network and cross-lagged panel network (CLPN) analyses were adopted. Results showed that comorbidity symptoms consisted of both overlapping and non-overlapping symptoms, including "Future foreshortening" at T1 and T2 from PTSS, and "Hard to get started" at T1 and "Not sleep well" at T2 from depression symptoms. Strong longitudinal pathways appeared from all PTSS to depression symptoms, among which the pathway from "Difficulty concentrating" to "Hard to get started" was the strongest. These findings suggest that the possible comorbidity between PTSS and depression symptoms is caused by their independent and related structures, and their longitudinal association. Clinical intervention for these symptoms may alleviate adolescents' psychological problems in the aftermath of traumatic events.

The unique role of smartphone addiction and related factors among university students: a model based on cross-sectional and cross-lagged network analyses

Smartphone addiction is a global problem affecting university students. Previous studies have explored smartphone addiction and related factors using latent variables. In contrast, this study examines the role of smartphone addiction and related factors among university students using a cross-sectional and cross-lagged panel network analysis model at the level of manifest variables. A questionnaire method was used to investigate smartphone addiction and related factors twice with nearly six-month intervals among 1564 first-year university students (M = 19.14, SD = 0.66). The study found that procrastination behavior, academic burnout, self-control, fear of missing out, social anxiety, and self-esteem directly influenced smartphone addiction. Additionally, smartphone addiction predicted the level of self-control, academic burnout, social anxiety, and perceived social support among university students. Self-control exhibited the strongest predictive relationship with smartphone addiction. Overall, self-control, self-esteem, perceived social support, and academic burnout were identified as key factors influencing smartphone addiction among university students. Developing prevention and intervention programs that target these core influencing factors would be more cost-effective.