Trajectories of depression and anxiety in Chinese high school freshmen: Associations with Internet addiction

Is parental anxiety related to child anxiety? Insights from a four-wave longitudinal study in a Chinese context

Objective

There has been a growing concern regarding the development of parental anxiety and child anxiety. However, the dynamic bidirectional relationship between parental anxiety and child anxiety remains unclear, particularly across different genders and developmental stages. This study investigated the bidirectional relationships between parental anxiety and child anxiety, and further explored the relationships across gender and age.

Methods

Data were collected across four waves from 2019 to 2022 in Sichuan Province, China, including 6,117 students (49.00% girls; 61.10% adolescents; M = 10.32 years, SD = 2.14). Parental anxiety was evaluated by the Self-Rating Anxiety Scale (SAS), and child anxiety was assessed using the Screen for Child Anxiety-Related Emotional Disorders (SCARED). A random intercept cross-lagged panel model (RI-CLPM) was constructed to distinguish between within- and between-person levels of parental anxiety and child anxiety.

Results

Results found that parental anxiety significantly predicted child anxiety across all time points, which supports the "parent effects" model. Meanwhile, child anxiety also influenced parental anxiety from Time 3 to Time 4, partially supporting the "reciprocal effects" model. Moreover, the impact of parental anxiety on girls' anxiety was significantly stronger than on boys, and parental anxiety had a more substantial influence on children than on adolescents.

Conclusion

These findings underscore the distinct roles of gender and developmental stages in the transmission of parental anxiety to children. The present findings provide theoretical and practical evidence for the development of parental anxiety and child anxiety in the Chinese context.

Effectiveness and satisfaction of mindfulness-based cognitive therapy for children on anxiety, depression, and internet addiction in adolescents: Study protocol for a randomized control trial

Adolescents with Internet addiction (IA) frequently encounter elevated levels of anxiety and depression, which subsequently results in the perpetuation of their addiction behaviors. Mindfulness-based cognitive therapy for children (MBCT-C) is an adapted version of traditional MBCT that targets emotional problems in children. The present study aimed to provide a framework for the implementation of a clinical trial for its effectiveness in reducing anxiety, depression, and IA in adolescents with IA. This study protocol proposes a randomized controlled trial with two parallel arms (MBCT-C versus active control). Eighty Iranian adolescents (Persian ethnicity; males and females; 12 to 15 years) diagnosed with IA will be randomly assigned to the intervention group (12 sessions of MBCT-C group therapy) or the control group (12 life skills training sessions). Pre-intervention, post-intervention, and three-month follow-up assessments will be conducted using Mindful Attention Awareness Scale-Adolescents (MAAS-A), Mindfulness Program Satisfaction Questioner (MPSQ), Reynolds Adolescent Depression Scale (RADS), State-Trait Anxiety Inventory-Children (STAI-C), MBCT-C Adherence Scale (MBCT-C-AS), and Internet Addiction Test (IAT). Data will be analyzed using mixed regression model using STATA-18 to assess the effectiveness of MBCT-C. The current study has the potential to make a significant contribution to evaluate the effectiveness of MBCT-C to address IA, anxiety, and depression in adolescents with IA.

Father Phubbing and Adolescents' Depressive Symptoms: The Roles of Relationship Satisfaction and Need to Belong

Recent research indicates that parental phubbing is a risk factor for adolescents' depressive symptoms; however, limited research has examined the association between father phubbing and adolescents' depressive symptoms. The present study tested the association between father phubbing and adolescents' depressive symptoms. Furthermore, the mediating and moderating effects underlying this link were examined. A total of 1319 participants (39.5% were boys, mean age = 16.15 years) completed measures regarding father phubbing, father-child relationship satisfaction, depressive symptoms, and the need to belong. By using a two-wave longitudinal design, the results showed that father-child relationship satisfaction mediated the association between father phubbing and adolescents' depressive symptoms, and the need to belong exacerbated the association between father phubbing and father-child relationship satisfaction. Limitations and implications of this study were elaborated.

Long-term trajectories of depressive symptoms in deployed military personnel: A 10-year prospective study

BACKGROUND

Military missions, especially those involving combat exposure, are associated with an increased risk of depression. Understanding the long-term course of depressive symptoms post-deployment is important to improve decision-making regarding deployment and mental health policies in the military. This study investigates trajectories of depressive symptoms in the Dutch army, exploring the influence of factors such as demographics, early-life trauma, posttraumatic stress disorder (PTSD) symptoms, and deployment stressors.

METHODS

A cohort of 1032 military men and women deployed to Afghanistan (2005-2008) was studied from pre- to 10 years post-deployment. Depressive and PTSD symptoms were assessed using the Symptom CheckList-90 and the Self-Rating Inventory for PTSD. Demographics, early trauma, and deployment experiences were collected at baseline and after deployment, respectively. Latent Class Growth Analysis was used to explore heterogeneity in trajectories of depressive symptoms over time.

RESULTS

Four trajectories were found: resilient (65%), intermediate-stable (20%), symptomatic-chronic (9%), and late-onset-increasing (6%). The resilient group experienced fewer deployment stressors, while the symptomatic-chronic group reported more early life traumas. Trajectories with elevated depressive symptoms consistently demonstrated higher PTSD symptoms.

LIMITATIONS

Potential nonresponse bias and missing information due to the longitudinal design and extensive follow-up times.

CONCLUSIONS

This study identified multiple trajectories of depressive symptoms in military personnel up to 10 years post-deployment, associated with early trauma, deployment stressors, adverse life events and PTSD symptoms. The prevalence of the resilient trajectory suggests a substantial level of resilience among deployed military personnel. These findings provide valuable insights and a foundation for further research.

Healthy aging trajectories and their predictors among Chinese older adults: Evidence from a 7-year nationwide prospective cohort study

OBJECTIVES

This study aimed to identify healthy aging trajectories of Chinese older adults, and explore the factors contributing to these trajectories.

METHODS

We used data from four waves (2011-2018) of China Health and Retirement Longitudinal Study. We developed a healthy aging metric based on the healthy aging framework of World Health Organization (WHO) and Bayesian multilevel item response theory (IRT) method. The healthy aging trajectories were identified using the latent class growth analysis. The predictors of trajectories were explored using multinomial logistic regression analysis. Additionally, we developed two alternative metrics for healthy aging based on the Chinese Healthy Ageing Index (CHAI) and Rowe and Kahn's model of successful aging, respectively. We compared these metrics to the one developed based on the WHO's healthy aging framework.

RESULTS

We identified three distinct healthy aging trajectories with varying scores and decline rates. Individuals who were female, had lower educational levels, resided in rural areas, experienced depression, had more chronic diseases, participated in fewer social activities, had fewer childhood friends, experienced more adverse childhood events, and had worse family financial status in childhood were more likely to experience a worse healthy aging trajectory compared to their counterparts. Supplementary analysis showed that healthy aging metric based on WHO definition and IRT method had the strongest association with health outcomes compared to the metrics based on CHAI, as well as Rowe and Kahn model.

CONCLUSIONS

Our findings provide a foundation for the development of tailored interventions to enhance and sustain healthy aging among Chinese older adults.

Prevalence of depression in junior and senior adolescents

Background

Depression affects the development of adolescents and makes it difficult for them to adapt to future life. The purpose of this study was to elucidate the population characteristics of adolescent depression.

Methods

This study measured depression based on the Patient Health Questionnaire-9 items and sociodemographic questionnaire. A total of 8,235 valid questionnaires were collected from six schools in Haikou and Qionghai, Hainan Province, covering the ages of 13 to 18. The questionnaires included high schools with multiple levels, including general high schools, key high schools, and vocational high schools. Latent category analysis (LCA) was used to identify potential categories of depressive symptoms among adolescents. Latent Class Analysis (LCA) was used for determining depressive symptom latent categories and their proportional distribution among adolescents.

Results

LCA analysis divided the data into 3 categories, namely no depression, low depression, and high depression groups. The percentage of the high depression group was 10.1%, and that of the low depression group was 48.4%. The Jorden index was greatest for a PHQ-9 score of 14.5. The 1st grade of junior middle school students entered the high and low depression groups 1.72 and 1.33 times more often than seniors. The number of the 1st grade of high school students included in the high and low depression groups was 1.55 and 1.42 times of the 3rd grade of high school students group. The detection rate of the high depression group of vocational school adolescents was 13.5%, which was significantly higher than that of key high schools (9.6%) and general high schools (9.0%).

Conclusion

This study found that 1st grade of junior middle school students and the 1st grade of high school students were more likely to fall into depressive conditions. Moreover, Adolescent girls require more attention than boys. Vocational school students need more psychological guidance.

Unhealthy Eating Habits and Insomnia Symptoms are Associated with Internet Addiction in Chinese Left-Behind Children: The Gender Difference

Purpose

This study aimed to evaluate the associations between unhealthy eating habits and insomnia symptoms with Internet addiction (IA) among Chinese left-behind children (LBC) based on potential gender difference.

Methods

This cross-sectional study was conducted in junior high schools from an economically disadvantaged area of China in May 2020. Participants were asked to complete the information and scales of socio-demographic characteristics, eating habits (the frequency of eating carbohydrates, fruits, vegetables, protein, and breakfast), insomnia severity and IA. A total of 3156 LBCs (43.9% males and 56.1% females, aged 14.2 years in average) were used for final analyses. Associations between eating habits and insomnia symptoms with IA were analyzed by generalized linear model with binary logistic regression.

Results

The study found that left-behind children (LBCs) had unhealthy eating habits, particularly among females. Females reported more insomnia symptoms than males. The prevalence of IA was similar across genders. Consuming fewer fruits and vegetables and skipping breakfast were linked to increased IA risk, especially in females. Insomnia was significantly associated with higher IA risk in both genders.

Conclusion

In LBCs, unhealthy eating and sleep were notably linked to IA, especially in females. Addressing these factors might reduce the prevalence of IA among LBCs.

Developmental trajectories of depression, anxiety, and stress among college students: a piecewise growth mixture model analysis

Mental health issues are becoming increasingly common among college students, but not all students follow the same developmental trends of mental health. This study aims to identify the developmental trajectories of depression, anxiety, and stress among college students and the related factors for different trajectory classes. The data were collected from a longitudinal survey of college students over four consecutive years, and 2473 students were included in the analysis. The study used a piecewise growth mixture model to determine the subtrajectories, and a multinomial logistic regression model was constructed to investigate the related factors affecting students in subtrajectories. The results revealed that subtrajectories include the low and stable class, increasing class, decreasing then stable class, increasing then decreasing class, and decreasing and high class. The decreasing and high class only presents in the trajectories of anxiety and stress. Regarding related factors, high BMI and high sleep hours were identified as related factors for the increasing class of depression; gender and high sleep hours were associated with the increasing class of anxiety; and hometown location was related to the increasing class of stress. Extroversion personality, relationship with classmates, siblings, and father’s education level are related factors for other subtrajectories. Considering that college students experience multiple trajectories of depression, anxiety, and stress, mental health education and psychological intervention should be carried out for students in each class.

Effects of internet addiction and academic satisfaction on mental health among college students after the lifting of COVID-19 restrictions in China

Background

Internet addiction (IA) among students, worsened by Coronavirus disease 2019 (COVID-19) pandemic, has become a social problem with the digitalization of school learning and many aspects of daily life. However, few studies on IA have been conducted among students after the lifting of COVID-19 restrictions in China.

Method

This large-sample, cross-sectional, online survey was conducted to explore the characteristics of IA and the association among IA, academic satisfaction, and mental health problems from December 14, 2022 to February 28, 2023 in Sichuan, China. All participants (N = 22,605) were students in colleges and universities, recruited via their teachers and professors.

Results

Of all the participants, 14,921 (66.0%) participants had IA. Participants with IA were more likely to have depression symptom, anxiety symptom, insomnia, and lifetime suicidal ideation. In addition, participants with severe IA had significantly higher rates of mental health problems (e.g., depression, anxiety, insomnia, and suicidal ideation) than those with mild IA. A significant IA-by-academic satisfactory-interaction on mental health was identified: participants with higher level of IA showed particularly severe symptom of depression, anxiety and insomnia when affected by low satisfactory of academy (p < 0.001).

Conclusion

This study reveals that IA has a significantly negative impact on mental health among college students after the lifting of COVID-19 restrictions in China. IA and academic satisfaction have interactive impacts on mental health problems among students. Further educational and health policies and psychosocial interventions should be developed to reduce IA and enhance academic satisfaction for improving students' mental health.

How final year high school students' depression develop during COVID-19 in China? A latent class growth modeling analysis

Depression increased sharply during the initial months of COVID-19, but how it developed over time is rarely explored, especially for adolescents. The current study measured depression of 605 final year high school students in China over 11 months in 4 waves. The latent growth curve modeling (LGCM) was used to examine overall trends in depression and latent class growth modeling (LCGM) was used to identify potential subgroups of adolescents' depressive trajectories. At the same time, gender, life events, and rumination were included as time-invariant covariates. Overall, the development of depression in the final year of high school students showed a slight downward trend. Meanwhile, the depression trajectories showed heterogeneity, and three categories of depression trajectories were identified, which were low-stable (24.3%), depression-risk (67.9%), and high-stable (7.8%). Neuroticism, rumination, and life events such as punishment and loss were found to significantly predict these trajectories of depression. This study helps to characterize differential depression trajectories among adolescents throughout the COVID-19 pandemic and establish several related predictors of the trajectory of depression.

Anxiety predicts internet addiction, which predicts depression among male college students: A cross-lagged comparison by sex

Objectives

Internet addiction has become an increasingly serious public health issue, putting young people at particular risk of psychological harm. This study aimed to analyze the interactions between college students' depression, anxiety, and Internet addiction and explore how these interactions differ between men and women.

Methods

A 6-month follow-up study was conducted on 234 college students using the Self-Rating Depression Scale, Self-rating Anxiety Scale, and Revised Chen Internet Addiction Scale.

Results

Depression, anxiety, and Internet addiction were positively correlated (p < 0.01). Anxiety can predict Internet addiction and that Internet addiction can predict depression. Moreover, anxiety had a significant predictive effect on Internet addiction among men.

Conclusion

Anxiety predicts Internet addiction, and Internet addiction predicts depression among male college students. These findings may better inform future Internet addiction intervention strategies. Particularly, interventions may better address Internet addiction by focusing on the role of anxiety, especially among men.

Latent transitions across perceived parental marital conflict and family cohesion profiles in high school students

This study aimed to explore the latent profiles across perceived parental marital conflict and family cohesion, as well as the transition patterns within-person and within-sample profiles over time. We conducted a 1-year follow-up study with a sample of first-year high school students from China. A total of 453 participants were included in the present analysis. We identified the following three latent profiles: high parental conflict and poor family cohesion profile, moderate parental conflict and family cohesion profile, and low parental conflict and good family cohesion profile. Female students and those who not lived with parents together were more likely to perceive more parental marital conflict and less cohesion in the family. The majority of students with high transition probability remained in the same profiles over time. The counts of latent transition pattern also demonstrated that students remaining in the primary profile over time accounted for the large proportion. The present study advances empirical bases for confirming the family system theory’s notion that the family is not static, but dynamic. Findings provide the optimal timing of interventions toward healthy transition.

Trajectories and predictors of vicarious traumatization in Chinese college students during the COVID-19 pandemic: A longitudinal study

Objectives

This longitudinal study aimed to identify the trajectories and the predictors among sociodemographic and psychosocial variables at baseline of vicarious traumatization (VT) in Chinese college students during the COVID-19 pandemic.

Materials and methods

A total of 544 Chinese college students enrolled in a public University in central China, majored in Clinical Medicine, Nursing, Musicology, Physics, etc., participated in this longitudinal study lasting 19 months. Three-wave (wave 1: February 2020; wave 2: November 2020; wave 3: September 2021) of data were collected. Resourcefulness Scale and the 10-item Kessler scale (K10) were only assessed in the first-wave survey, and the Event Scale-Revised (IES-R) was repeatedly measured in all three-wave surveys. A link to an online survey created by Questionnaire Star (https://www.wjx.cn/) was sent to the students to collect data. The Growth mixture modeling (GMM) and multiple logistic regression were used to identify the trajectories of VT and predictors for the distinct trajectories.

Results

The incidence of VT at each wave varied from 9.9% at wave 1, 4.0% at wave 2, to 2.6% at wave 3. Three trajectories of VT were the medium-level escalating group (3.0%), medium-level maintaining group (32.3%), and the low-level descending group (64.7%). Seniors (OR = 1.575, 95% CI: 1.059-2.341; OR = 1.161, 95% CI: 1.043-1.293) and those with poor mental health status (OR = 1.101, 95% CI: 1.030-1.177; OR = 1.083, 95% CI: 1.060-1.106) at baseline were more likely to be classified into the medium-level escalating group and medium-level maintaining group, respectively. Additionally, females (OR = 3.601, 95% CI: 1.311-9.887) were more likely to be included in the medium-level escalating group.

Conclusion

Targeted psychological interventions are urgently needed for students vulnerable to VT. Further studies with more representative samples, longer period of follow-up, and predictors based on scientific theoretical framework, are needed to update the findings.