The longitudinal association between internet addiction and depressive and anxiety symptoms among Chinese adolescents before and during the COVID-19 pandemic

The Longitudinal Effect of Psychological Distress on Internet Addiction Symptoms Among Chinese College Students: Cross-Lagged Panel Network Analysis

BACKGROUND

There is a growing amount of evidence suggesting high rates of co-occurring internet addiction (IA) symptoms and psychological distress in youth. However, the extent to which IA symptoms develop over time, how they interact with psychological distress symptoms dynamically, and how they predict one another remain unclear. Additionally, what specific types of distress, including depression, anxiety, and stress, are more closely associated with IA symptoms remains inconclusive.

OBJECTIVE

This longitudinal study aimed to explore the development of and changes in IA symptoms over time and the directional relationship between IA and various psychological distress symptoms.

METHODS

This study followed a sample of 2497 Chinese college students (mean age 19.14, SD 0.72 years) across 3 waves of a data collection span of 2 years. Their IA and psychological distress symptoms were assessed at baseline (T1), 12-month follow-up (T2), and 24-month follow-up (T3). We used network analysis to examine the network structure of IA symptoms at each wave and cross-lagged panel network (CLPN) analysis to investigate longitudinal associations between IA symptoms and psychological distress, including depressive, anxiety, and stress symptoms.

RESULTS

The cross-sectional networks of IA symptoms at 3 time points showed high similarity in terms of structure, existence of edges, and centrality indices. Nodes A2 (excessive use), A1 (salience), and A5 (lack of control) emerged as nodes with the highest expected influence (EI) centrality in the IA symptom networks across time (A2: EI=1.13 at T1, 1.15 at T2, 1.17 at T3; A1: EI=1.10 at T1, 1.13 at T2, 1.15 at T3; A5: EI=0.86 at T1, 0.88 at T2, 0.92 at T3). CLPN analysis revealed that psychological distress predicts IA symptoms but not the other way around. Depressive symptoms played a key role in predicting various IA-related problems (T1 to T2, edge weight=0.11; T2 to T3, edge weight=0.28; T1 to T3, edge weight=0.22) and served as bridge symptoms connecting IA and psychological distress (T1 to T2: bridge-expected influence [BEI]=0.15; T2 to T3: BEI=0.14; T1 to T3: BEI=0.19).

CONCLUSIONS

Findings revealed a relatively stable network structure of IA symptoms among college students and suggested that psychological distress, especially depressive symptoms, may play a central role in activating IA symptoms over time. These results provide evidence for understanding the directional relationship between the central characteristics of distress symptoms and IA. The study also underscores the importance of depressive symptoms in their co-occurrence with IA, indicating that the key and bridge symptoms identified in this study can be prioritized as targets for preventing and treating IA in Chinese youth. Through identification and early intervention of depressive symptoms, we may avoid the progression of co-occurring issues, leading to more effective treatment outcomes.

Prevalence of internet addiction among Chinese adolescents: A comprehensive meta-analysis of 164 epidemiological studies

BACKGROUND

Internet Addiction (IA) among Chinese adolescents is a growing concern that is associated with considerable psychological, social, and academic problems. Although numerous past studies on IA prevalence in China have been conducted, the findings have been mixed. This meta-analysis aimed to examine the pooled IA prevalence among adolescents in China and its associated factors.

METHODS

Both English (PubMed, Web of Science, PsycINFO) and Chinese (Wan Fang, CNKI) databases were systematically searched. Pooled prevalence and study heterogeneity were analyzed using the random effects model, while the factors contributing to prevalence variation were identified using subgroup and meta-regression analyses.

RESULTS

A total of 164 studies involving 737,384 adolescents were included in the meta-analysis. The overall pooled IA prevalence was 10.3 % (95 % CI: 9.1 %-11.7 %). In the subgroup analyses, differences in IA prevalence were significantly associated with the assessment tools (Q = 32.8, p < 0.001) and publication years (Q = 20.6, p < 0.001). In the meta-regression analyses, rural residence (β = 1.82, p = 0.030) and junior student level (β = 0.26, p = 0.002) were positively associated with the prevalence of IA, while only child status (β = -1.28, p = 0.033) was negatively associated with the prevalence of IA.

CONCLUSION

In this meta-analysis, IA among adolescents in China was common and associated with rural residence, junior student level, and only-child status. Given the detrimental impacts of IA, the development of effective prevention and treatment strategies for this population is critical.

Association of Internet addiction with psychiatric symptom levels and sleep disorders: a systematic review and meta-analysis

Background

Maladaptive Internet use is defined as Internet addiction disorders (IAD), which can lead to psychological problems and sleep disorders. Although many studies on the correlation between Internet addiction, psychiatric symptom levels, and sleep disorders have been conducted in recent years, there is no meta-analysis to substantiate the connection between these variables.

Methods

We systematically searched databases including Web of Science, PubMed, Embase, and the Cochrane Library to collect relevant studies using keywords associated with Internet addiction, psychological problems, and sleep disorders. All comparable studies that provided sufficient data (e.g., correlation coefficients) were included in our analysis.

Results

41 studies were included, and the results indicated that IAD was associated with psychological problems and sleep quality at moderate to low levels (depression: r = 0.39, 95%CI = 0.34-0.45; SMD = 1.34, 95%CI = 0.81-1.86; OR = 0.86, 95%CI = 0.46-1.26; anxiety: r = 0.30, 95%CI = 0.23-0.37; OR = 0.90, 95%CI = 0.29-1.52; stress: r = 0.34, 95%CI = 0.29-0.38; OR = 1.76, 95%CI = 0.37-3.16; sleep problems: r = 0.26, 95%CI = 0.19-0.33).

Conclusion

This meta-analysis reveals that IAD is positively associated with depression, anxiety, and sleep problems, which indicates that individuals with IAD have an increased risk of depression, anxiety, and sleep problems. Hence, high attention should be paid to Internet addictive behaviors, and preventive and treatment measures should be adopted timely.

Systematic review registration

The publicly accessible registration record can be found at: https://www.crd.york.ac.uk/prospero/.

Longitudinal network analysis of depression, anxiety, and post-traumatic stress disorder comorbidities among adolescents in regional China

Purpose

The network theory of mental disorders offers a new perspective for the understanding of comorbidities, but the research on the comorbidities among depression, anxiety, and post-traumatic stress disorder (PTSD) is still insufficient. The aim of this study was to explore the internal relationship by establishing and analyzing the comorbidity networks, and to provide suggestions for the intervention after traumatic events.

Methods

We utilized data from the second and third wave of the Chengdu Positive Child Development cohort (N = 3,189, 47.79% female), we estimated to network models of depression, anxiety and PTSD. To assess difference in global connectivity between the two networks, we conducted invariance test.

Results

K27 (Somatic 10), K37 (Generalized Anxiety 9), K15 (Somatic 5), K33 (Generalized Anxiety 7), K24 (Somatic 9) were the most central nodes in both networks, P13 (Sleep problem) had the highest Bridge Expected Influence value. The structural difference between the two networks was statistically significant (M = 0.229, p = 0.010), and the global strength of the network at wave 2 was higher than the network at wave 3 (35.1 vs. 33.9, S = 1.20, p = 0.010).

Conclusion

The correlation in symptoms of the three disorders underscores the need for more comprehensive treatment options for intervention after traumatic events. Central and bridge nodes could inform targeted interventions or policy decisions. Anxiety disorders, especially Som and Gen dimensions, should be the focus of intervention. The Arousal dimension in PTSD, especially sleep disorders, may contribute to the comorbidities. In addition, this study highlights the importance of staged post-traumatic interventions.

Identification of emerging harms due to COVID-19 outbreak: a qualitative study in Iran

INTRODUCTION

Although COVID-19 has altered various harms and exacerbated the prevalence of some of them, this period has also set the stage for the emergence of new harms. The present study aims to identify the emerging harms resulting from the COVID-19 outbreak in Iran.

METHODS

The study was conducted using a qualitative content analysis approach through semi-structured interviews with 21 experts and professors knowledgeable about social harms and COVID-19 consequences who were selected through purposive and theoretical sampling. Data analysis was carried out using the Graneheim and Lundman's method in MAXQDA-2018 software. Guba and Lincoln's criteria were used to trustworthiness of results.

RESULTS

The results showed that the COVID-19 pandemic led to a range of issues and problems at various levels of society that were not considered social harms before the pandemic, given their prevalence and impact. After analyzing the data, four main categories and fourteen subcategories were identified. The main categories were social fatigue, ineffective education system, formation of a digital lifestyle, and formation of a new understanding and meaning of death and life.

CONCLUSION

The COVID-19 crisis has intensified existing social harms and introduced new ones, rendering previous mitigation strategies ineffective. Designing novel policies and guidelines is crucial to address these evolving challenges and reduce the adverse societal impacts of the pandemic.

Neurotransmitters crosstalk and regulation in the reward circuit of subjects with behavioral addiction

Behavioral addictive disorders (BADs) have become a significant societal challenge over time. The central feature of BADs is the loss of control over engaging in and continuing behaviors, even when facing negative consequences. The neurobiological underpinnings of BADs primarily involve impairments in the reward circuitry, encompassing the ventral tegmental area, nucleus accumbens in the ventral striatum, and prefrontal cortex. These brain regions form networks that communicate through neurotransmitter signaling, leading to neurobiological changes in individuals with behavioral addictions. While dopamine has long been associated with the reward process, recent research highlights the role of other key neurotransmitters like serotonin, glutamate, and endorphins in BADs' development. These neurotransmitters interact within the reward circuitry, creating potential targets for therapeutic intervention. This improved understanding of neurotransmitter systems provides a foundation for developing targeted treatments and helps clinicians select personalized therapeutic approaches.

Do Boys and Girls Display Different Levels of Depression in Response to Mobile Phone Addiction? Examining the Longitudinal Effects of Four Types of Mobile Phone Addiction

Purpose

Prior research has indicated that mobile phone addiction (MPA) significantly contributes to depression. However, there is a research gap in exploring the distinct impacts of various types of MPA on depression, along with the potential moderating effect of gender. The current study investigated whether the relationship between MPA and depression varies depending on the types of MPA and gender.

Methods

A one-year longitudinal study was undertaken at two high schools in Central China. Data was gathered at two time points (Time 1/T1 and Time 2/T2) with a one-year gap between assessments. A total of 480 adolescents, aged 12 to 19 years old, completed all questionnaires assessing four types of mobile phone addiction at T1, as well as depression at T1 and T2.

Results

The findings demonstrated significant positive associations between all four types of MPA at T1 and depression at T2. Additionally, gender was found to moderate the associations between three types of MPA and depression. Specifically, among girls, T1 social media addiction had a stronger predictive effect on T2 depression compared to boys. Conversely, among boys, T1 game addiction had a more pronounced predictive effect on T2 depression, which was less significant among girls. Moreover, in boys, T1 short-form video addiction had a noteworthy predictive effect on T2 depression, but this effect was not significant in girls. However, it is worth noting that T1 information acquisition addiction had a significant predictive effect on T2 depression in both boys and girls, with no noticeable gender difference.

Conclusion

The current study has enhanced our understanding of the impact of MPA on mental health by examining the correlation between different types of MPA and depression across genders. The findings provide valuable insights for reducing depression among adolescents of different genders by considering their mobile phone usage patterns.

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.

Prevalence and associated factors of internet addiction among adolescents during the COVID-19 pandemic in Kota Bharu, Kelantan, Malaysia: A cross-sectional study

Introduction

The study aimed to determine the prevalence and associated factors of internet addiction (IA) among early adolescents during the COVID-19 pandemic in Kota Bharu, Kelantan, Malaysia.

Methods

A cross-sectional online survey was conducted from February to April 2021 among adolescents in Kota Bharu, Kelantan. Participants completed the Malay Version of the Internet Addiction Test, the Depression, Anxiety and Stress Scale-21 and a sociodemographic information form. A multiple logistic regression analysis was performed to determine the associations between variables.

Results

A total of 535 adolescents participated in this study. Among them, 65.9% were girls. The prevalence of IA among the participants was 48.6%. Male sex [adjusted odds ratio (AOR)=2.15, 95% confidence interval (CI)=1.30-3.57], internet usage at home (AOR=6.17, 95% CI=1.94-19.58), internet usage to watch/download music (AOR=2.50, 95% CI= 1.52-4.12), internet usage to engage in social networking (AOR=2.29, 95% CI=1.19-4.40), inadequate parental/guardian bonding (AOR=2.19, 95% CI=1.31-3.65), depression (AOR=2.03, 95% CI=1.07-3.85), anxiety (AOR=2.79, 95% CI=1.64-4.76) and stress (AOR=4.67, 95% CI=2.00-10.91) were significantly associated with IA.

Conclusion

IA was prevalent among Malaysian adolescents during the COVID-19 pandemic. Sex, internet usage profile and psychological factors were significant predictors of IA.

Secular Trends in Depressive Symptoms in Adolescents in Yunnan, Southwest China From Before COVID-19 to During the COVID-19 Pandemic: Longitudinal, Observational Study

BACKGROUND

Yunnan province borders Myanmar, Laos, and Vietnam, giving it one of the longest borders in China. We aimed to determine the trends in prevalence and impact of COVID-19 on depressive symptoms among adolescents (12-18 years) from 2018 to 2022 in Yunnan, southwest China.

OBJECTIVE

We evaluated the impact of the COVID-19 epidemic on adolescents' mental health, with the aim of reducing the effect of psychological emergency syndrome and promoting healthy, happy adolescent growth.

METHODS

This longitudinal, observational study used Students' Health Survey data on adolescents' depressive symptoms from 2018 to 2022 (before and during COVID-19) in Yunnan. We used multistage, stratified sampling in 3 prefectures in 2018 and 16 prefectures from 2019 to 2022. In each prefecture, the study population was classified by gender and residence (urban or rural), and each group was of equal size. Depressive symptoms were diagnosed based on Center for Epidemiological Studies Depression Scale (CES-D) scores. We used ANOVA to assess the differences in mean CES-D scores stratified by gender, age, residence, grade, and ethnicity. Chi-square tests were used to compare depressive symptoms by different variables. For comparability, the age-standard and gender-standard population prevalences were calculated using the 2010 China Census as the standard population. The association between COVID-19 and the risk of a standardized prevalence of depressive symptoms was identified using unconditional logistic regression analysis.

RESULTS

The standardized prevalence of depressive symptoms for all participants was 32.98%: 28.26% in 2018, 30.89% in 2019, 29.81% in 2020, 28.77% in 2021, 36.33% in 2022. The prevalences were 30.49% before COVID-19,29.29% in early COVID-19, and 36.33% during the COVID-19 pandemic. Compared with before COVID-19, the risks of depressive symptoms were 0.793 (95% CI 0.772-0.814) times higher in early COVID-19 and 1.071 (95% CI 1.042-1.100) times higher than during COVID-19. The average annual increase in depressive symptoms was 1.61%. During the epidemic, the prevalence of depressive symptoms in girls (36.87%) was higher than that in boys (28.64%), and the acceleration rate of girls was faster than that of boys. The prevalences of depressive symptoms and acceleration rates by age group were as follows: 27.14% and 1.09% (12-13 years), 33.99% and 1.8% (14-15 years), 36.59% and 1.65% (16-18 years). Prevalences did not differ between Han (32.89%) and minority (33.10%) populations. However, the acceleration rate was faster for the former than for the latter. The rate for senior high school students was the highest (34.94%). However, the acceleration rate for vocational high school students was the fastest (2.88%), followed by that for junior high school students (2.32%). Rural residents (35.10%) had a higher prevalence and faster acceleration than urban residents (30.16%).

CONCLUSIONS

From 2018 to 2022, there was a significant, continuous increase in the prevalence of depressive symptoms among adolescents in Yunnan, China, especially during the COVID-19 pandemic. This represents an emergency public health problem that should be given more attention. Effective, comprehensive psychological and lifestyle intervention measures should be used to reduce the prevalence of mental health issues in adolescents.

Internet addiction among adolescents during the COVID-19 pandemic: Associations with sociodemographic and psychological distress

Background

The COVID-19 pandemic has had tremendous implications for billions of adolescents worldwide due to school closures, forcing students to embrace internet usage for daily tasks. Uncontrolled use of the internet among adolescents makes them vulnerable to internet addiction (IA). This study aims to determine the prevalence of IA among adolescents and assess its association with sociodemographic factors, smartphone use, and psychological distress during the pandemic.

Method

A cross-sectional self-administered online survey was conducted among students aged 13-17 from May 15th, 2021, until May 30th, 2021, using the Malay version of the Internet Addiction Test (MVIAT), the Depression, Anxiety, and Stress Scale (DASS-21), and the Coronavirus Impacts Questionnaires, as well as a sociodemographic information form. The data was analyzed with IBM SPSS Statistics version 23.

Results

A total of 420 adolescents participated in the survey. The majority of them (70.7%) were female, with a mean age of 15.47 years (±1.49 years old). About 45.5% of the respondents were classified as internet addicted users. The Chi-square test analysis showed that age (p = 0.002), smartphone usage (p = 0.010), rate of midnight use (p < 0.001), frequency (p < 0.001), duration (p < 0.001) of device usage, and presence of depression, anxiety, and stress (p < 0.001) were all significantly associated with IA. Multiple logistic regression showed age (aOR = 1.16, 95% CI [1.00-1.35], p = 0.048), smartphone usage (aOR =3.52, 95% CI [1.43-8.67], p = 0.006), mild or moderate depression (aOR = 2.43, 95% CI [1.36-4.34], p = 0.003), severe or extremely severe stress (aOR = 6.41, 95% CI [2.18-18.82], p = 0.001) were significantly related to IA.

Conclusions

Late adolescence, the use of smartphones, and the presence of psychological distress like depression, and stress were potentially associated with IA. Wise use of smartphones and early identification of any psychological distress among adolescents are warranted, especially during the pandemic.

Internet addiction and depressive symptoms in adolescents: joint trajectories and predictors

OBJECTIVE

Internet addiction and depressive symptoms are common mental health problems in adolescents. Due to the comorbidity of Internet addiction and depressive symptoms, their mutual relationship influences their developmental trajectories over time. Thus, this study aimed to identify the joint trajectories of Internet addiction and depressive symptoms, and examined the individual, family, and school antecedents of these trajectories among Chinese adolescents.

METHODS

Using a battery of self-report scales, three waves of data collection were conducted in a Chinese adolescent sample (N = 1,301). The co-developmental trajectories of Internet addiction and depressive symptoms were extracted by adopting parallel-process latent class growth modeling (PPLCGM). Multinomial logistic regression was performed to assess predictive factors.

RESULTS

Four unique joint trajectory classes were detected: the Health Group (n = 912, 70.1%), Comorbidity-Worsening Group (n = 85, 6.5%), Asymptomatic-Comorbid Risk Group (n = 148, 11.4%), and Prominent Depressive Symptoms-Remission Group (n = 156, 12.0%). Individual, family, and school factors (e.g., gender, positive youth development, family function, academic performance) significantly predicted the membership in these distinct co-developmental trajectories.

CONCLUSION

Our findings illustrate that the joint development of Internet addiction and depressive symptoms among adolescents presents a heterogeneous distribution, which could better inform prevention and intervention strategies since each co-developmental trajectory may represent unique experience for adolescents who need targeted treatment. Various individual, family, and school factors are important predictors that play different roles in distinguishing the joint trajectories of Internet addiction and depressive symptoms during this critical developmental transition period.

Internet addiction and depressive and anxious symptoms among Chinese rural left-behind adolescents: Mediating roles of resilience and friendship quality

BACKGROUND

Rural left-behind adolescents are more vulnerable to Internet addiction and depressive and anxious symptoms due to the lack of family support and parental supervision. This study was the first to investigate the longitudinal relationships between Internet addiction and depressive and anxious symptoms and to examine the mediating roles of resilience and friendship quality in rural left-behind adolescents.

METHODS

Included in this study, which was from a longitudinal study conducted five times over 2 years, were 1001 rural left-behind adolescents. The internationally used scales for depressive and anxious symptoms, Internet addiction, resilience and friendship quality were administered. A structural equation model was used for analysis.

RESULTS

The prevalence of Internet addiction, depressive and anxious symptoms among rural left-behind adolescents were 17.7%, 35.8% and 27.6%, respectively. Internet addiction predicted the later depressive and anxious symptoms (β = 0.200, 95% confidence interval [CI]: 0.116-0.274 and β = 0.263, 95% CI: 0.188-0.330). Resilience acted as an independent mediator in the relationships between Internet addiction and depressive and anxious symptoms (β = 0.037 and 0.034, P < 0.01). Resilience and friendship quality played a chain-mediating role on the longitudinal relationships between Internet addiction and depressive and anxious symptoms (β = 0.011 and 0.010, P < 0.001). The mediating effects accounted for 24.0% and 16.7% of the total effects, respectively.

CONCLUSION

Resilience and friendship quality play an independent or chain-mediating role in longitudinal relationships between Internet addiction and depressive and anxious symptoms. The findings inform targeted intervention strategies to improve the mental health of left-behind adolescents.

The impact of internet adaptability on internet addiction: the serial mediation effect of meaning in life and anxiety

Introduction

Previous research has demonstrated the significant role of individual characteristics in adolescent Internet addiction. In line with this, our previous research has introduced the concept of "Internet adaptability" as a potential factor that enables individuals to effectively cope with the negative consequences of Internet use. However, further investigation is required to understand the impact of Internet adaptability on problematic Internet use, including Internet addiction, as well as its associated internal psychological factors. To address this research gap, the present study aims to examine the impact of Internet adaptability on internet addiction and explore the mediating roles of meaning in life and anxiety within this relationship.

Methods

A questionnaire was used to survey 2,144 adolescents from high schools in central China to investigate internet adaptability, meaning in life, anxiety, and internet addiction.

Results

The results revealed a significant negative correlation between Internet adaptability and adolescent internet addiction (r = -0.199, p < 0.01). Furthermore, our results indicated that Internet adaptability negatively predicts internet addiction (β = -0.086, p < 0.001). Additionally, mediation analyses revealed that both meaning in life (β = -0.060, p < 0.001) and anxiety (β = -0.032, p < 0.01) mediate the relationship between Internet adaptability and internet addiction. Moreover, a serial mediation effect involving meaning in life and anxiety was observed between Internet adaptability and internet addiction (β = -0.027, p < 0.001).

Conclusion

These findings suggest that Internet adaptability plays an important role in alleviating individual internet addiction. Our results indicate that increasing individuals' sense of meaning in life can help reduce anxiety, thereby potentially reducing internet addiction.

Association between internet addiction, brain structure, and social capital in adolescents

Of late, internet addiction among adolescents has become a serious problem, with increased internet use. Previous research suggests that the more people become addicted to the internet, the more they isolate themselves from society. Conversely, it has been suggested that abundant social capital (the networks of relationships among people who live and work in a particular society) protects people from becoming addicted to the internet. This study focused on the brain structure of typical adolescents (10-18 years of age) and hypothesized that the size of the left dorsolateral prefrontal cortex (DLPFC), which is thought to be associated with self-control ability, is associated with both internet addiction and social capital. Voxel-based morphometry analysis indicated that left DLPFC volume was negatively correlated with the severity of internet addiction and positively correlated with social capital. Furthermore, correlation analysis demonstrated that the severity of internet addiction and social capital were negatively correlated. The statistical association between them was no longer significant when left DLPFC volume was used as a control variable. These results suggest that the left DLPFC may mediate the relationship between social capital and internet addiction in adolescents.

Problematic social media use and mental health risks among first-year Chinese undergraduates: a three-wave longitudinal study

Introduction

The association between social media use and mental health risks has been widely investigated over the past two decades with many cross-sectional studies reporting that problematic social media use (PSMU) is associated with higher mental health risk such as anxiety and depression. The present study examined the relationship between PSMU severity and mental health risks (depression, anxiety, stress, and loneliness) using a three-wave longitudinal design.

Methods

A total of 685 first-year Chinese undergraduate students (Mean age = 19.12 years, SD = 0.92) completed surveys at three times points with intervals of 3 to 4 months. Results revealed that PSMU was positively correlated with all the mental health risk variables over the three time points.

Results

The prevalence of PSMU increased over the three research waves. Cross-lagged models identified bi-directional relationships between PSMU and mental health risks, while such links were not consistent between different mental health risk variables and can change over different research intervals.

Discussion

This study indicates that PSMU and mental health risks could predict each other in a vicious loop, but the differences between specific mental health risks and the research context (e.g., different term times and experiences in university) should not be ignored. Further research attention should be paid to the prevalence of PSMU and mental health conditions among Chinese first-year undergraduates who appear to have difficulties in adapting to university life.

From Reward to Anhedonia-Dopamine Function in the Global Mental Health Context

When "hijacked" by compulsive behaviors that affect the reward and stress centers of the brain, functional changes in the dopamine circuitry occur as the consequence of pathological brain adaptation. As a brain correlate of mental health, dopamine has a central functional role in behavioral regulation from healthy reward-seeking to pathological adaptation to stress in response to adversity. This narrative review offers a spotlight view of the transition from healthy reward function, under the control of dopamine, to the progressive deregulation of this function in interactions with other brain centers and circuits, producing what may be called an anti-reward brain state. How such deregulation is linked to specific health-relevant behaviors is then explained and linked to pandemic-related adversities and the stresses they engendered. The long lockdown periods where people in social isolation had to rely on drink, food, and digital rewards via the internet may be seen as the major triggers of changes in motivation and reward-seeking behavior worldwide. The pathological adaptation of dopamine-mediated reward circuitry in the brain is discussed. It is argued that, when pushed by fate and circumstance into a physiological brain state of anti-reward, human behavior changes and mental health is affected, depending on individual vulnerabilities. A unified conceptual account that places dopamine function at the centre of the current global mental health context is proposed.