Effects of personal relative deprivation on the relationship between anger rumination and aggression during and after the COVID-19 pandemic lockdown: A longitudinal moderated network approach.

INTRODUCTION: Several studies have demonstrated a directional link between rage rumination and aggression. However, recent research suggests that this relationship is bidirectional. The current study examined the complex relationships between anger rumination and aggression using a moderated network approach in a longitudinal design while considering personal relative deprivation. METHOD: A total of 665 participants (59.25% female, agemean±SD = 19.01 ± 1.25) were enrolled at two-time points. Assessments included self-report measures of the Anger Rumination Scale, Buss-Perry Aggression Questionnaire, and Relative Deprivation Scale. A Moderated Network Model (MMN) was used to test the complex links among anger rumination, aggression, and personal relative deprivation. RESULTS: The analysis revealed that the link between anger rumination and aggression was complex and bidirectional. Notably, as the level of personal relative deprivation increased, verbal aggression had a positive conditional effect on anger afterthoughts in Wave 2, and thoughts of revenge had a positive conditional effect on verbal aggression in Wave 2. Moreover, as the first discovery, anger afterthoughts and anger had a negative conditional effect on each other across levels of personal relative deprivation in Wave 2. In addition, network comparison indicates that the MNMs structure was significantly different across timepoints, implying that anger rumination and aggression were inextricably linked in college students during isolation and that this complicated relationship was weakened after isolation. CONCLUSIONS: This study deepens our understanding of the bidirectional relationships between anger rumination and aggression and recognizes the moderating role of personal relative deprivation.

Hopelessness during and after the COVID-19 pandemic lockdown among Chinese college students: A longitudinal network analysis.

INTRODUCTION: In China, recurrent pandemics require frequent city-wide lockdowns and quarantine actions to contain the impact of COVID-19, exposing college students to psychological problems, including hopelessness. Hence, the purpose of helping problematic college students alleviate hopelessness symptoms motivates us to carry out the present study to explore their interrelationship. METHODS: Hopelessness (i.e., a complex phenomenon with important clinical consequences, such as depression and suicidality) was investigated in a large longitudinal sample of college students (N = 2787; 58.59% female; age mean ± SD = 18.34 ± 0.92) who were recruited during and after the COVID-19 lockdown using the Beck Hopelessness Scale (BHS). RESULTS: Applying the novel approach (i.e., symptom network analysis), the results indicated that the edge of #BHS1 (i.e., [NOT] hope-enthusiasm)-#BHS15 (i.e., [NOT] faith-in-the-future) showed the strongest association both in Wave 1 and Wave 2. Similarly, #BHS20 (i.e., not-trying) had the highest node expectedinfluence (centrality) in the hopelessness symptoms network both among Wave 1 and Wave 2. The Network Comparison Test indicated that the global network strength significantly differed between the two time points. As expected, college students' hopelessness will gradually dissipate with the end of segregation control. The stability and accuracy indicated that the network analysis results were trustworthy. CONCLUSIONS: The study findings provide evidence that central nodes and edges connecting symptoms should be addressed. Further interventions and treatments that may target these symptoms are essential to effectively alleviate the overall hopelessness level among college students. Theoretical and clinical potential consequences were discussed in detail.

Relationship between social support, coping strategy against COVID-19, and anxiety among home-quarantined Chinese university students: A path analysis modeling approach.

With the continued spread of the COVID-19 pandemic and the strict implementation of quarantine policy, the levels of anxiety among university students surged in the lockdown period. Previous studies confirmed the effectiveness of social support in mitigating anxiety, so offering social support should be of high priority in COVID-19, especially in quarantine. However, various coping strategies against the pandemic may explain the link between social support and anxiety. The purpose of this study was to investigate the associations of social support, coping strategy against COVID-19, and anxiety, identifying the potential mediating effect of coping strategy between social support and anxiety during the COVID-19 quarantine. Home-quarantined Chinese university students (N = 2640; 68.79% female) completed online ratings of social support, coping, and anxiety from February 21st to 24th, 2020, when they had been confined to their homes in the peak of the pandemic. Sex and academic attainment being covariates, path analysis with parallel mediation were conducted using "lavaan" package in R environment. Anxiety was significantly negatively related to subjective support and counselor support, while family support did not demonstrate substantive associations with anxiety. The mediating role of cognitive coping was found between all the three social support sources and anxiety. Emotional coping and behavioral coping were found to partially mediate the relationship between subjective support and anxiety, fully mediate the associations of family support and anxiety. However, the impact of counselor support on anxiety was not found to be mediated by emotional coping and behavioral coping. This large-scale online study provides initial evidence that various coping strategies may mediate the relationship between three sources of social support and anxiety in quarantine to some extent. Given that coping against COVID-19 is a valuable reasearch goal upon the global ongoing challenge, the findings will shed more light on the mechanism in the link between coping, social support, and anxiety.

Changes in sexual behaviour, anxiety symptoms, and quality of couple relationship of patients with infertility during the COVID-19 lockdown.

PURPOSE: This study aimed to explore the perceived changes in sexual behaviour during COVID-19 lockdown, anxiety symptoms, and couple relationship of patients with infertility. METHODS: We performed an observational cross-sectional study between 20 November 2020 and 15 January 2021. We used stratified analysis of different stress levels and Quality of Marriage Index (QMI) scores to compare the perceived changes in sexual behaviour, anxiety symptoms, and couple relationship. The logistic regression model was performed to assess factors correlated with couples' relationship quality during the lockdown. Furthermore, we performed pathway analyses to assess whether the changes in sexual behaviour, stress level, or psychological anxiety during the lockdown could predict the quality of couple relationship. RESULTS: A total of 940 patients with infertility were included in this study. When we conducted a stratified analysis of the participants, significant differences were found between the changes in their sexual behaviour, stress levels, and couple relationship quality. The logistic regression model showed that sex, anxiety symptoms, decreased sexual satisfaction, sexual activity frequency, and income levels were closely related to couple relationship quality. Pathway analyses indicated that changes in their sexual behaviour, anxiety symptoms, and stress levels could all predict the quality of couple relationship. CONCLUSIONS: The perceived changes in sexual behaviour with different stress levels and couple relationship quality showed significant differences. Analysing the related factors that affect the quality of couple relationship, especially in times of crisis, is of great significance as this information can contribute to the improvement of treatment for patients with infertility.

Impact of infertility duration on male sexual function and mental health.

PURPOSE: This study aimed to explore whether infertility duration has an impact on the sexual function and mental health of men from infertile couples. METHODS: We conducted a case-control study of 558 men from infertile couples, and the participants were divided into four groups based on their infertility duration: group I: ≤ 2 years; group II: 2-5 years; group III: 5-8 years; and group IV: > 8 years. Sexual function and mental disorders were measured using the International Index of Erectile Function-15 (IIEF-15), Premature Ejaculation Diagnostic Tool (PEDT), Generalized Anxiety Disorder scale (GAD-7), and Patient Health Questionnaire (PHQ-9) separately. RESULTS: As the years of infertility duration increase, the total IIEF-15 score and four domains (sexual desire, orgasmic function, erectile function, and intercourse satisfaction) significantly decrease (p < 0.05). The PEDT score gradually increases significantly (p < 0.05). Increased infertility duration is an independent risk factor for erectile dysfunction and premature ejaculation (p < 0.05). However, increased infertility duration is not a risk factor for depression and anxiety (p > 0.05). CONCLUSIONS: Our study is the first time to use the infertility duration as an independent variable and group this variable to analyze its impact on the sexual function and mental health of men from infertile couples comprehensively and systematically. The increased infertility duration is an independent risk factor for the occurrence of sexual dysfunction but not for mental disorders. In the process of infertility treatment, sexual health and mental health cannot be ignored, especially for patients with prolonged infertility.

Centrality and bridge symptoms of anxiety, depression, and sleep disturbance among college students during the COVID-19 pandemic-a network analysis.

Symptoms of depression and anxiety usually co-occur and are inextricably linked to sleep disturbance. However, little is known about the symptom-to-symptom relationships among these three mental disorders. Hence, to improve our understanding of concurrent depression, anxiety, and sleep disturbance, we used the network analysis approach to construct an interplay relationship among the above three mental disorders and identify which specific symptoms bridge these aggregations. We collected data from a large sample (N = 6710, male = 3074, female = 3636; mean age = 19.28) at a university. We estimated the symptom network structure of depression, anxiety, and sleep disturbance as assessed by the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and Youth Self-Rating Insomnia Scale during the COVID-19 lockdown. We further investigated four goals: first, identifying the individual core symptoms in the network by the index of "expected influence"; second, determining the bridge symptoms that play roles in linking different mental disorders by the index of bridge expected influence (1-step); third, examining the robustness of all results; and fourth, providing an overall structure that may or may not differ by sex. The network structure was stable, accurate, and predictable. Items referring to sleep dissatisfaction, poor sleep quality, and uncontrollable worry were potentially core symptoms in the interplay among depression, anxiety, and sleep disturbance. Sleep, guilt, restlessness, irritability, and feeling afraid can function as bridges among depression, anxiety, and sleep disturbance, which is clinically relevant and theoretically important. The results suggested that the network structures significantly differed between the female and male networks. Robustness tests also revealed that the results were reliable.

Seeking central hopelessness symptoms which direct link to resilience among parents of children with autism spectrum disorder in China-A network perspective.

The intervention process for children with autism spectrum disorder (ASD) is inextricably associated with their parents' mental health problems, such as hopelessness, which may adversely affect resilience and indirectly impact the effectiveness of interventions for their children. Hence, the motivation to help parents of children with ASD reduce hopelessness prompted us to conduct the present study and explore the interrelationship between hopelessness symptoms and resilience. This study evaluated hopelessness and resilience using the Beck Hopelessness Scale (BHS) and the Connor-Davidson Resilience Scale (CD-RISC). Participants met the criteria for their children's ASD diagnosis by a psychiatrist (N = 448; 54.69% mothers; Meanage = 34.59 years, SDage = 4.94 years). Moreover, we used symptom network analysis to examine the variability in network structure between fathers and mothers. The flow function was applied to examine which hopelessness symptoms were directly or indirectly associated with resilience. The results showed that #BHS11 (i.e., unpleasantness-ahead) was the central symptom found in the network structure for all parents and fathers, while #BHS17 (i.e., no-future-satisfaction) was the central symptom in the network structure for mothers. Additionally, #BHS6 ([NOT] expect-to-succeed) was directly and positively associated with resilience in all three network structures (i.e., all parents, fathers, and mothers). The results of the present study provide evidence that influential symptoms should be addressed and offer guidance for further interventions to reduce hopelessness and enhance resilience among parents of children with ASD.

Strengthening the meaning in life among college students: the role of self-acceptance and social support - evidence from a network analysis.

Meaning in life, which has two possible sources: self-acceptance and social support, is essential to the mental health and development of college students. The current study aims to further clarify the symptom-level relations between meaning in life, self-acceptance, and social support, finding possible ways to improve meaning in the life of college students. Thousand three hundred and forty-eight Chinese college students completed the online questionnaire, including Self-acceptance Questionnaire, Social Support Rating Scale, and Meaning in Life Questionnaire and the data from 1,263 participants was used. Cross-sectional network analysis was used to examine the relation between self-acceptance and social support. We also explored the relation between dimensions of self-acceptance and social support and meaning in life using the flow network. The results show symptom "SlA" (self-acceptance) is the bridge symptom linking self-acceptance and social support. In the flow diagrams, "SlA" is directly and positively associated with the presence of meaning. Objective Support shares the strongest positive association with the search for meaning. The symptom "SIA" may be an important targeting symptom when trying to improve the meaning in life of college students. Additionally, social support is essential for college students to develop meaning in life.

The unique role of meaning in life in the relationships between trait awe, subjective well-being, and prosocial tendency: A network analysis.

Although individuals with higher trait awe (the tendency to experience awe) are known to be happier and more prosocial, there is limited understanding of the mechanisms underlying these complex relationships. This study uses network analysis to explore dimension-level relationships between trait awe, meaning in life, subjective well-being (SWB), and prosocial tendency in a joint network and to explore the bridging role of meaning in life in the network. A total of 538 adults (53.2% females; Mage = 19.86 ± 1.51) completed the survey. The network revealed unique and intricate connections between the dimensions of trait awe, meaning in life (i.e., the presence of and the search for meaning, abbreviated as POM and SFM), subjective happiness and life satisfaction (SWB), and prosocial tendency (i.e., willingness to donate money and volunteer time). Trait awe exhibited direct links to subjective happiness, life satisfaction, and prosocial tendency to donate money. Moreover, through POM and SFM, trait awe also exhibited indirect links to each dimension of SWB and prosocial tendency. Within the global network, POM was further identified as acting as a bridge node with the highest bridge strength and closeness, indicating that POM could efficiently transmit influences within the entire network. These findings highlight the distinct contributions of meaning in life to understanding the relationships between trait awe, SWB, and prosocial tendency, and provide valuable insights for improving SWB and fostering prosocial tendencies.

Mapping network connection and direction between anxiety and depression symptoms across the early, middle, and late adolescents: Insights from a large Chinese sample.

Depression and anxiety are two mental disorders prevailing among adolescents. However, issues regarding the trajectory of depression and anxiety are still controversial on both the disease and symptom dimensions. The novel method of network analysis was used to provide insight into the symptom dimension. 20,544 adolescents (female = 10,743, 52.3%) aged between 14 and 24 years (age mean ± sd = 16.9 ± 2.94) were divided into three subgroups according to age so that the course of depression and anxiety could be traced. Network analysis and the Bayesian network model were used in the current study. The results indicated that uncontrollable worry - excessive worry was the most significant edge for all adolescents, whereas concentration - motor had the highest edge weights for early adolescents, and anhedonia - energy was the most critical pairwise symptom for middle and late adolescents. Irritability can bridge anxiety and depression in the early and middle stages of adolescence, while suicide plays a bridging role in the early and late stages of adolescence. Restlessness and guilt can bridge anxiety and depression in middle- and late-stage adolescents, and feeling afraid plays a unique role in middle-stage adolescents. Except for sad mood, which can trigger middle adolescents' anxiety and depression, the other three subgroups were mainly triggered by nervousness. In addition, all results in our current study were shown to be stable and accurate. In treatment, targeting central and triggering symptoms at different stages of adolescence may be critical to alleviating the comorbidity of anxiety and depression.

Longitudinal associations between capacity to be alone, life satisfaction, self-compassion, anxiety, and depression among Chinese college students.

Although the world has entered the post-pandemic period, the mental health and life satisfaction of college students still need to be addressed. However, previous literature has primarily focused on negative variables and has paid little attention to positive variables, such as self-compassion and the capacity to be alone. Therefore, this longitudinal study aims to investigate the relationships between the capacity to be alone, self-compassion, life satisfaction, depression, and anxiety among college students. This study analyzed data from 1460 Chinese college students who completed an online survey at two time-points one year apart. We employed cross-lagged analysis and constructed longitudinal mediation models to explore the relationships between five variables (i.e., capacity to be alone, self-compassion, life satisfaction, depression, and anxiety). Our findings indicate that depression and life satisfaction could negatively predict each other over time. Self-compassion in wave 1 could negatively predict depression and anxiety in wave 2. Higher life satisfaction in wave 1 was associated with a lower capacity to be alone in wave 2. We also found reciprocal positive predictive relationships between depression and anxiety, and life satisfaction and self-compassion. Life satisfaction mediated the relationship between self-compassion and psychopathological variables (i.e., depression and anxiety). Additionally, self-compassion mediated the association between life satisfaction and psychopathological variables and the association between capacity to be alone and psychopathological variables. Our study highlights the significance of early identification and intervention in depression and anxiety. We also discovered the possible self-soothing function of self-compassion as well as the importance of fostering positive personal characteristics.

Effects of childhood trauma on the symptom-level relation between depression, anxiety, stress, and problematic smartphone use: A network analysis.

BACKGROUND: Childhood trauma experience is closely associated with depression, anxiety, stress, and problematic smartphone use (PSU). However, few studies have explored the complex symptom-level relations between these variables among people with and without trauma experiences, leaving a gap in treating and alleviating these mental disorders among individuals with childhood trauma. METHODS: The current study used a convenience sampling method and recruited 2708 participants who completed Childhood Trauma Questionnaire-Short Form (CTQ-SF), Depression Anxiety and Stress Scales (DASS-21), and Mobile Phone Addiction Tendency Scale (MPATS), dividing them into trauma (n = 1454, Mean age = 19.67) and no-trauma (n = 1254, Mean age = 19.57) groups according to the cut-off scores of CTQ-SF. Symptom network analysis and network comparison test were conducted to construct and compare the network models between trauma and no-trauma groups. RESULTS: The findings indicate that the trauma group and females exhibit greater average levels of DASS-21 and PSU symptoms compared to the no-trauma group and males, respectively. Additionally, the edge between "Stress" and "Anxiety" is the strongest across trauma and no-trauma groups. "Social comfort" is a bridge symptom of the trauma group network and the results of bridge symptoms in the no-trauma group are not stable. LIMITATIONS: This study did not categorize all individuals according to specific types of trauma experiences and it is a cross-sectional design. The prevalences calculated in this study may not be generalizable. CONCLUSIONS: Interventions targeting different bridge symptoms in the trauma and no-trauma network models may help reduce the severity of symptoms.

The impact of long-term online learning on social anxiety and problematic smartphone use symptoms among secondary school students with different levels of fear of missing out: Evidence from a symptom network and longitudinal panel network analysis.

Background: The advancement of communication technology and the impact of the COVID-19 pandemic have led to an increased reliance on online education. However, the effects of the long-term use of smart devices for online learning on students' social anxiety and problematic smartphone use (PSU) and the role of fear of missing out (FoMO) in this process have yet to be fully explored. Methods: This study analysed longitudinal data from 2,356 high school students (female = 1,137 (48.26%), mean age = 13.84, SD age = 1.37) in China, divided into high- and low-FoMO groups based on their scores on the FoMO scale, to examine the impact of four months of online learning on social anxiety and PSU. The Social Anxiety Scale (SAS) and Mobile Phone Addiction Index (MPAI) were used to assess social anxiety and PSU symptoms. Results: The undirected symptom networks revealed more bridge symptoms among the students in the high-FoMO group, although their overall symptom scores decreased. The results of the directed cross-lagged panel networks showed that "productivity loss" predicted other symptoms in the low-FoMO group but that "afraid of negative evaluation" was the predictor in the high-FoMO group. Meanwhile, "withdrawal/escape" and "productivity loss" were the symptoms that were most affected by other symptoms in the high-FoMO and low-FoMO groups, respectively. Conclusions: The current study therefore sheds light on the changes in social anxiety and PSU symptoms among secondary school students during long-term online learning, as well as the moderating role of FoMO.

Effects of empathy on the bidirectional relationships between problematic smartphone use and aggression among secondary school students: a moderated network approach.

Background: Existing literature on the relationship between problematic smartphone use (PSU) and aggression has primarily focused on examining their unidirectional association, with limited attention paid to the bidirectional nature of this relationship, particularly when considering the role of empathy. This study employs a novel moderated network approach to examine the bidirectional relationship between problematic smartphone use and aggression, while also investigating the moderating mechanism of empathy. Methods: A total of 2,469 students (49.1% female, Mean age = 13.83, SD age = 1.48) from 35 junior and senior high schools in Harbin, China, participated in this study. Empathy level, aggressiveness, and PSU symptoms were assessed using the Basic Empathy Scale, the Buss-Warren Aggression Questionnaire, and the Mobile Phone Addiction Index. Results: Analysis revealed that the relationship between PSU and aggression was complex and bidirectional. The strongest association was observed between "hostility" and "withdrawal/escape". In addition, "anger" had the highest Expected Influence (EI) in both affective and cognitive moderate network models. An important discovery was also made regarding the conditional effect of "productive loss" and "physical aggression" across different levels of affective empathy. Specifically, at lower levels of affective empathy, a positive bidirectional relationship was found between "productive loss" and "physical aggression". However, this relationship turned negative and bidirectional at higher levels of affective empathy. Conclusion: The findings contribute to a more comprehensive understanding of the complex dynamics between PSU and aggression and highlight the need for targeted interventions that promote affective empathy to mitigate the negative consequences of excessive smartphone use.

Mapping network connection and direction among symptoms of depression and anxiety in patients with chronic gastritis.

Regarding neurophysiological and developmental findings, anxiety and depression are usual comorbidities of gastritis patients. However, research related to anxiety and depression among chronic gastritis patients was conducted on the disease level while ignoring symptoms. Hence, we rendered the network approach to reveal the symptoms of anxiety and depression among chronic gastritis patients. Three hundred and sixty-nine chronic gastritis patients (female = 139, Mage = 55.87 years) were asked to complete the Self-Rating Anxiety Scale and Self-Rating Depression Scale. Three symptom networks and one directed acyclic graph (DAG) network were formed. First, in the anxiety network of chronic gastritis patients, dizziness was the most influential symptom. In the depression network of chronic gastritis patients, depressed affect and psychomotor retardation were the influential symptoms. Second, panic, easy fatiguability, weakness, palpitation, depressed affect, tachycardia, fatigue, and psychomotor agitation bridged the anxiety-depression network of chronic gastritis patients. Third, DAG networks showed that anxiousness and hopelessness could trigger other symptoms in the anxiety-depression networks of chronic gastritis patients. The current study provided insightful information on patients with chronic gastritis by examining the structures of symptoms.

Mapping network connection of comorbidity of depression and anxiety symptoms among firefighters exposed to traumatic events: Insights from a network analysis.

OBJECTIVE: Firefighters are prone to mental disorders such as anxiety and depression because they are frequently exposed to trauma, including injury and death. Network analysis is an approach used to depict a holistic view of mental disorders, which is a symptom-oriented method, and argues that the mental structure is likely to arise from the interaction among observable symptoms. Hence, the present study aims to reveal the characteristics of depressive and anxiety symptoms for Chinese firefighters via a network approach. METHOD: We recruited 715 male firefighters (Mage = 26.29, SDage = 5.93) and asked them to complete the Self-rating Anxiety Scale and Self-rating Depression Scale to measure their levels of anxiety and depression. RESULTS: Faintness had the highest symptom strength in the anxiety network, while irritability had the highest symptom strength in the depression network. The strongest edge (i.e., the connection among symptoms) in the anxiety network was apprehension-restlessness, and in the depression network was confusion-psychomotor retardation. In the bridge network, which contained both anxiety and depression, the strongest edge was confusion-psychomotor retardation, and the highest centrality symptoms (Z score above 1) were panic, easy fatiguability, palpitations, crying spells, and tachycardia. Bayesian network analysis revealed that fear was the most influential trigger symptom in the anxiety-depression network structure of firefighters. CONCLUSIONS: Clinicians could focus on treating the related bridge and trigger symptoms, such as panic, easy fatiguability, palpitations, crying spells, tachycardia, and fear, to alleviate the comorbidity of anxiety and depression in firefighters. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Effects of Neuroticism on Differences in Symptom Structure of Life Satisfaction and Depression-Anxiety among College Students: A Network Analysis.

Object: Numerous studies show that depression and anxiety have an adverse effect on life satisfaction among college students. Moreover, neuroticism affects depression, anxiety, and life satisfaction. Comparing the low-neuroticism and high-neuroticism groups, the current study used network analysis to examine the relationship between depression, anxiety, and life satisfaction among college students. Methods: A sample consisted of 1233 college students from China who completed the Big Five Inventory-2 (BFI-2), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), and Satisfaction With Life Scale (SWLS).All students were divided into two groups according to levels of neuroticism. Depression-anxiety symptom networks and flow networks were formed. Results: "Insomnia" (SAS19) and "Sleep disturbance" (SDS4) are bridge symptoms of groups with varying neuroticism. In addition, compared to the group with low levels of neuroticism, the group with high levels of neuroticism showed more depression symptoms in bridge symptoms and greater global strength. Many depression-anxiety symptoms are negatively associated with life satisfaction, and "Emptiness" (SDS18) is an important symptom in the high-neuroticism group's flow network. Conclusion: This study contributes to our understanding of the connection between depression, anxiety, neuroticism, and life satisfaction. In addition, the current study identified the essential symptoms to target in depression and anxiety intervention and life satisfaction enhancement among college students.

Centrality depression-anxiety symptoms linked to suicidal ideation among depressed college students--A network approach.

The long-term effects of the COVID-19 pandemic have caused severe mental health problems among college students, which can eventually cause suicidal ideation. Therefore, through network analysis, this study aims to explore the new characteristics of the depression-anxiety symptom network that arose during the long-term lockdown of the COVID-19 pandemic and to identify the most influential symptoms linked to suicidal ideation. We used a Patient Health Questionnaire (PHQ-9) score above 10 as the cutoff and screened 622 participants with an inclination toward depressive disorders from 7976 college students, and then divided the sample into suicidal and nonsuicidal groups based on the presence or absence of suicidal ideation. The General Anxiety Disorder scale (GAD-7) was also used. Network analysis was used to identify the network structure of anxiety-depression and which symptoms were directly related to suicidal ideation in the network. The prevalence of depression and anxiety among Chinese college students in the late stage of the COVID-19 pandemic was 7.8% and 17.8%, respectively. The most central symptoms in the nonsuicidal group were "excessive worry," "uncontrollable worry," and "nervousness," and in the suicidal group they were "excessive worry," "motor function," and "irritability." The network of the suicidal group was denser than that of the nonsuicidal group. The most influential symptom directly related to suicidal ideation was "guilt." The most influential central symptom of depression-anxiety comorbidity characteristics of Chinese adolescents showed a tendency to shift from depression-oriented (i.e., sad mood) to anxiety-oriented (i.e., excessive worry) with the continuation of the COVID-19 pandemic. Treatments or interventions focused on these critical symptoms could be useful in preventing college students from suicide risk.

The association between online learning, parents' marital status, and internet addiction among adolescents during the COVID-19 pandemic period: A cross-lagged panel network approach.

INTRODUCTION: Previous research has identified the association between online learning and Internet addiction (IA) and the role of family factors in it. However, few studies have treated IA as a multidimensional mechanism and explored the underlying linkage of online learning, IA, and parental marital status with a cross-lagged network approach. The study aimed to examine the relationship between online learning during the COVID-19 pandemic, Internet addiction (IA), and parental marital status among Chinese adolescents. METHODS: The sample consisted of 2356 adolescents who completed the Internet Addiction Test twice over a four-month period. Four symptom networks and two cross-lagged panel networks were performed. RESULTS: The results showed that adolescents from divorced families had a higher prevalence of IA (27 %) compared to those from non-divorced families (17 %). The strongest cross-lagged association was found between "spending more time online" and "preferring the excitement online". In the divorced group, "school grades suffering" had the highest influence, while in the non-divorced group, "anticipation" had the highest influence. CONCLUSION: This study highlights the relationship between online learning, IA, and parental divorce and suggests that long-term online learning may contribute to IA, and parental divorce may exacerbate problematic Internet use and increase IA levels.

The Effects of Repeated Attachment Security Priming on Social Anxiety and Attention Bias: A Randomized Controlled Trial.

BACKGROUND: Although the clinical utility of attachment security priming has been suggested in recent years, the effect of attachment security priming on social anxiety and its core symptoms (i.e., attention bias) remains unspecified. Therefore, the present study explored the potential effectiveness of repeated attachment security priming in alleviating social anxiety and attention bias among Chinese college students. METHODS: Fifty-six college students with high social anxiety were randomly assigned to the attachment security priming group (n = 30) or control group (n = 26). The priming group completed seven attachment security priming sessions over 2 weeks (every 2 days), and the control group was assigned to a waitlist for 2 weeks. RESULTS: The results revealed that individuals in the priming group reported less social anxiety after 2 weeks of security attachment priming, and those in the control group did not change significantly. The results also showed that there was no significant change in the attention bias of individuals with social anxiety before and after the intervention. CONCLUSIONS: Our findings indicate that attachment security priming is a promising alternative intervention option for social anxiety. The potential clinical implications of security attachment priming are discussed.