Cross-sectional and longitudinal AUD symptom networks: They tell different stories

Understanding alcohol use and alcohol use disorders from a developmental psychopathology perspective: Research advances, challenges, and future directions

As part of the special issue of Development and Psychopathology honoring the remarkable contributions of Dr Dante Cicchetti, the current paper attempts to describe the recent contributions that a developmental psychopathology perspective has made in understanding the development of alcohol use and alcohol-related problems over the lifespan. The paper also identifies some of the future challenges and research directions. Because the scope of this task far exceeds the confines of a journal length article this paper does not attempt a comprehensive review. Rather, it builds on an earlier review and commentary that was published in Development and Psychopathology in 2013, with a similar goal.)Building on that work and updating its conclusions and suggestions for future directions, the current paper emphasizes findings from the research areas that were identified for further study in 2013 and the findings that have been published since that time.

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.

Longitudinal relationship between oppositional defiant disorder symptoms and attention-deficit/hyperactivity disorder symptoms in Chinese children: insights from cross-lagged panel network analyses

Oppositional defiant disorder (ODD) and attention-deficit/hyperactivity disorder (ADHD) are two of the most common childhood mental disorders, and they have substantial comorbidity. The developmental precursor model has long been widely used to explain the mechanisms of comorbidity between ODD and ADHD, however whether it is equally effective at the symptomatic level is unclear. Therefore, this study aimed to (a) examine the stability of the ODD and ADHD comorbidity network in a longitudinal sample of high-risk children in China; and (b) examine the longitudinal relationship between the ODD and ADHD symptom networks based on a developmental precursor model. Two hundred sixty-three Chinese children aged 6 to 13 years with ODD and/or ADHD were assessed for symptoms of ODD and ADHD in two surveys conducted 1 year apart. We used data from these two time points to construct two cross-sectional networks and a cross-lagged panel network (CLPN) to explore the symptom network for comorbidity of ODD and ADHD. The analysis shows that: (1) the two cross-sectional networks are highly similar in terms of structure, existence of edges, centrality estimates, and the invariance test shows that there is no significant difference between them. The symptoms "follow through", "interrupts/intrudes", "difficulty playing quietly" and "concentration" had the highest expected influence centrality at both time points. (2) Combined with the results of the cross-sectional and cross-lagged networks, we found that "annoy" and "blame" are potential bridge symptoms between the ODD and ADHD symptom networks. The symptom "annoy" forms a reciprocal predictive relationship with "interrupts/intrudes", while "blame" unidirectionally predicts "close attention". In addition, we found that "vindictive" predicted numerous ADHD symptoms, whereas "angry" was predicted by numerous ADHD symptoms. The findings emphasize the broad predictive relationship between ODD and ADHD symptoms with each other, and that ODD symptoms may lead to activation of the ADHD symptom network and vice versa. These findings suggest that the developmental precursor model at the symptom level may partially explain the comorbidity mechanisms of ODD and ADHD, and future studies should further investigate the underlying multiple mechanisms.

The Predictive Role of Tolerance and Health Problems in Problem Gambling: A Cross-Sectional and Cross-Lagged Network Analyses

The existing symptomatic networks of problem gambling are all based on cross-sectional data. Thus, there is a need to explore longitudinal symptom networks of problem gambling. Moreover, the replicability of cross-sectional symptom networks can be limited; therefore, further research should assess the convergence between cross-sectional networks of problem gambling symptoms. The present study aimed (i) to examine cross-sectional networks of problem gambling symptoms and evaluate their replicability and (ii) to examine a longitudinal cross-lagged network of problem gambling symptoms. The study included a representative sample of young adult gamblers (born between 1984 and 2000) from the first two waves of the Budapest Longitudinal Study (original sample: N = 2777; final sample: N = 335). The Problem Gambling Severity Index was used to assess symptoms of problem gambling. Cross-sectional symptom networks showed differences in the centrality of nodes. Correlations between the two cross-sectional networks were low in the presence vs. absence of edges, rank order of edge weights, and centrality estimates. However, network invariance tests indicated non-significant differences between them. The cross-lagged network revealed that the symptoms of tolerance and health problems could predict the subsequent presence of multiple problem gambling symptoms. Overall, limited evidence demonstrated the replicability of cross-sectional symptom networks of problem gambling. Future research needs to explore the utility of cross-sectional networks of problem gambling and assess more precisely causal relationships between problem gambling symptoms by distinguishing within- and between-subject effects.

Predictors of symptom course in alcohol use disorder

BACKGROUND

Symptoms often play an important role in the scientific inquiry of psychological disorders and have been theorized to play a functional role in the disorders themselves. However, little is known about the course of specific symptoms and individual differences in course. Understanding the course of specific symptoms and factors influencing symptom course can inform psychological theory and future research on course and treatment.

METHODS

The current study examined alcohol use disorder (AUD) criteria to explore how etiologically relevant covariates differentially affected the course of individual criteria. The study examined 34,653 participants from Wave 1 (2001-2002) and Wave 2 (2003-2004) of the National Epidemiological Survey on Alcohol and Related Conditions (NESARC), to analyze the extent to which AUD symptom course is predicted by alcohol consumption patterns, family history of alcoholism, the presence of internalizing and externalizing disorders, and race.

RESULTS

The course of all AUD criteria was significantly influenced by these predictors, with the magnitude of the influence varying across different criteria and different aspects of the course (i.e., onset, persistence, recurrence). The strength of the relationship is partially related to the theoretical proximity of a given covariate to AUD symptomatology, with heavy drinking being the strongest and family history of AUD being the weakest. The course of all criteria was strongly associated with the prevalence of the criterion in the overall sample.

CONCLUSIONS

The course of AUD criteria is heterogeneous, appearing to be influenced by conceptually proximal predictors, the prevalence of the criterion, and perhaps an underlying common factor. Diagnostic accuracy may be improved by including a criterion related to alcohol consumption. Future work should include exploring the interchangeability of criteria and alternative operationalization of them.

Longitudinal correlates of bullying victimization among Chinese early adolescents: A cross-lagged panel network analysis

BACKGROUND

Bullying victimization is a major public health issue often faced by adolescents. This highlights the need to identify the relevant risk factors to inform intervention. Based on the ecological systems theory and applied cross-lagged panel network analysis, this study explored the longitudinal correlates of bullying victimization among Chinese early adolescents.

METHODS

A total of 1686 early adolescents (60.4 % were boys) from the Chinese Early Adolescent Cohort study were included in this study. Bullying victimization and its associated factors were assessed using the self-report questionnaires, which was administered from 2019 (T1), 2021 (T2), and 2022 (T3). The longitudinal relationships between bullying victimization and its correlates were examined using a cross-lagged panel network analysis.

RESULTS

27.0 %, 14.9 %, and 13.2 % of the participants reported being bullied by peers at T1, T2, and T3, respectively. The temporal network suggested that individual-level (sex, depression, and anxiety), family-level (child abuse), school-level (satisfaction with classmates), and social-level (satisfaction with society) factors were associated with bullying victimization. The node with the greatest centrality strength was anxiety. Notably, relationship with teachers and classmates were the unique nodes in the T2 → T3 replication network.

LIMITATIONS

The sample is unrepresentative, as it is from only one middle school.

CONCLUSIONS

The findings provide important insights into bullying victimization prevention and intervention among Chinese early adolescents: 1) highlighting the importance of joint interventions across multiple departments; 2) focusing on the most central factors of bullying victimization; and 3) considering the effect of time when exploring the correlates of bullying victimization.

A Longitudinal Network Analysis of the Interactions of Risk and Protective Factors for Suicidal Potential in Early Adolescents

Few studies have applied the "ideation-to-action" theories and the buffering hypothesis of resilience to suicide in early adolescents, and existing research is primarily cross-sectional. This study examined the interactions between risk factors (i.e., thwarted belongingness, perceived burdensomeness, and hopelessness), protective factors (i.e., resilience, self-efficacy, and subjective happiness), and suicidal potential (i.e., family distress, anxious-impulsive depression, and suicidal ideation or acts) in early adolescents. The participants (N = 1615; 55.6% females; M _age = 10.93, SD _age = 1.14, range: 9-15) who were recruited from four primary and four secondary schools in Hong Kong completed the survey in 2020 and 2021. The contemporaneous networks suggested that perceived burdensomeness and hopelessness were positively associated with suicidal potential. Protective factors were negatively associated with risk factors studied and suicidal potential. The node with the greatest centrality strength was anxious-impulsive depression. The nodes most likely to connect with other constructs were self-efficacy and hopelessness. A temporal network suggested the predictive effect of hopelessness and the protective effect of subjective happiness on future suicidal ideation or acts. Moreover, self-efficacy was found to buffer the impact of hopelessness on future suicidal ideation or acts. These findings highlighted the contribution of hopelessness to suicidal potential among early adolescents and the buffering effects of subjective happiness and self-efficacy.