Bidirectional associations between short sleep duration, insomnia symptoms, and psychotic-like experiences in adolescents.

This study investigates the prospective associations between short sleep duration, insomnia symptoms, and psychotic-like experiences (PLEs) in a large sample of Chinese adolescents. This study utilized a three-timepoint repeated cross-sectional survey with two nested longitudinal subsamples. A total of 17,722 adolescents were assessed at baseline (April 21 to May 12, 2021) and six months later (December 17 to 26, 2021). Out of these, 15,694 adolescents provided complete responses to the questions at baseline and one year later (May 17 - June 6, 2022). A self-administered questionnaire was used to measure sample characteristics (at baseline), sleep duration, insomnia symptoms, and PLEs (at each assessment), and negative life events (at two follow-ups). Baseline short sleep duration and insomnia symptoms predicted frequent PLEs at both follow-up assessments. Additionally, baseline frequent PLEs also predicted insomnia symptoms at six months and one year later. However, when controlling for confounders, PLEs at baseline only predicted short sleep duration at six months, and not at one year. This study reveals bidirectional prospective relationships between short sleep duration, insomnia symptoms, and PLEs, even after controlling for covariates. Therefore, it is crucial to assess both sleep patterns and PLEs in order to promote optimal sleep and mental health among adolescents.

Concurrent and longitudinal associations of dissatisfaction with height and weight, body mass index with sleep disturbance among adolescents in China.

Sleep disturbance in adolescents is a significant global public health issue that can result in various physical and mental disorders. Height and weight dissatisfaction, as subjective perceptions of body shape, are common in adolescence and may affect individuals' sleep situations. However, the association of them is unclear. This study aimed to examine the cross-sectional and longitudinal associations among height dissatisfaction, weight dissatisfaction, body mass index (BMI), and sleep disturbance in adolescents. A total of 27,260 participants completed measures of sleep disturbance, height and weight satisfaction, and BMI. The cross-sectional and longitudinal effects of height satisfaction, weight satisfaction, and BMI as well as their changes in sleep disturbance over time were tested. Height satisfaction (ps < 0.001) and weight satisfaction (ps < 0.001) were negatively associated with concurrent sleep disturbance after adjusting for socio-demographic covariates and previous sleep disturbance. Height satisfaction (ps < 0.001) and weight satisfaction (ps < 0.001) at T1 as well as their increases (ps < 0.001) over 6 months predicted decreases in sleep disturbance over time. The cross-sectional and longitudinal associations between BMI and sleep disturbance were not significant (ps > 0.42). Moreover, height dissatisfaction (ORs = 1.06 to 1.34) and weight dissatisfaction (ORs = 1.21 to 1.36) were risk factors for concurrent and long-term sleep disturbance while adjusting socio-demographic covariates and previous sleep disturbance. Greater attention to subjective perception of height satisfaction and weight satisfaction, instead of BMI is needed.

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.

Network Analysis of Health-related Behaviors, Insomnia, and Depression Among Urban Left-behind Adolescents in China.

Mental health of urban left-behind adolescents (LBA) is a public issue of growing concern. This study aims to examine the symptom level associations among multiple health-related behaviors, insomnia, and depression in urban LBA. Data on a sample of urban LBA aged 11-19 (N = 3,601) from the Adolescent Mental Health Survey in Shenzhen, China, were used. Health-related behaviors (i.e., Internet use, physical inactivity, social jetlag, smoking, and alcohol consumption), insomnia, and depressive symptoms were assessed using a self-administered questionnaire. Graphical Gaussian Model (GGM) was used to describe key bridging nodes in an undirected network. Directed Acyclic Graph (DAG) was used to construct a directed network and estimate the most likely causal associations among behaviors/symptoms. In the undirected network, Internet use was identified as the key bridging node most strongly associated with insomnia and depression. Two other key bridging nodes include difficulty initiating sleep and appetite change. In the directed network, anhedonia emerged as the most pivotal symptom, which could cause insomnia symptoms and behavioral changes, either directly, or through triggering other depressive symptoms, such as low energy and appetite change. These findings have implications for understanding the occurrence and maintenance process of health-related behaviors, insomnia, and depression in urban LBA. In practice, Internet use should be considered a priority in targeting multiple health behavior interventions. Meanwhile, early screening and treatment for anhedonia are of great significance as well.

The More, the Better? Social Capital Profiles and Adolescent Internalizing Symptoms: A Latent Profile Analysis.

Past research suggests that offline and online social capital are empirically linked to adolescent psychological adjustment. However, little is known regarding the implications of distinctive combinations of social capital for adolescent internalizing symptoms. The present study aimed to examine adolescent social capital patterns and their associations with internalizing symptoms by using latent profile analysis. A cross-sectional web-based survey was conducted among 1595 Chinese adolescents (mean age = 14.30 years, 50.7% male). All adolescents completed self-report questionnaires on their perceived offline and online social capital, depressive symptoms and anxiety symptoms. Latent profile analysis revealed four profiles of social capital: (1) Low Social Capital, (2) Moderate Social Capital, (3) High Social Capital, and (4) Only High Offline Social Capital. Further, analysis of covariance demonstrated that the Only High Offline Social Capital profile had significantly fewer internalizing symptoms than other three profiles. No statistical differences of internalizing symptoms were found between the other three profiles, except that the Moderate Social Capital profile showed fewer anxiety symptoms than the Low Social Capital profile. These findings suggest that more social capital does not equal to better mental health status. The social capital profiles and their associations with adolescent internalizing symptoms may provide practitioners with meaningful implications regarding the role of offline and online social capital in adolescent psychological adjustment.

Associations Between Family Function and Non-suicidal Self-injury Among Chinese Urban Adolescents with and Without Parental Migration.

The study aims to explore the effect of family function on non-suicidal self-injury (NSSI) among Chinese urban adolescents with and without parental migration. Between April 21st to May 12th, 2021, adolescents were recruited from Shenzhen city of Guangdong province, China (n = 124,357). Of all the participants, 22,855 (18.4%) were left-behind children (LBC). Family function, NSSI, depression, and socio-demographic characteristics were assessed using a series of self-reported questionnaires. Urban LBC had a higher NSSI frequency, while a lower level of family function than non-LBC. After controlling for confounders, parental migration was significantly associated with NSSI, and family dysfunction was a robust risk factor for NSSI as well. The protective effect of family function on NSSI of LBC was stronger than non-LBC. This implies that children with higher levels of family function tend to exhibit a lower frequency of NSSI, especially in those with parental migration. In practice, adolescents' NSSI prevention and intervention strategies should focus on improving family function.

Who is the hardest to wake up from sleep? An investigation of self-reported sleep inertia using a latent profile analysis.

Few studies have assessed the overall nature and profiles of subjective sleep inertia (SI) within the general population. This study was designed to identify subjective SI profiles and examine the associations between profiles of subjective SI with sociodemographic and sleep-related characteristics. A total of 11 colleges and universities were surveyed from May 30 to June 17, 2021, by convenience sampling. A total of 1,240 participants provided usable data regarding sociodemographic information, Sleep Inertia Questionnaire, and sleep-related characteristics via an online platform. Latent profile analysis was utilised to identify profiles of SI. Multinomial logistic regression was further performed to examine the predisposing factors of profiles of SI. Four profiles of SI were identified: (1) "Low SI", 20%; (2) "Mild SI", 31%; (3) "Moderate SI", 33%; and (4) "Severe SI", 16%. Compared to a Low SI profile, younger, individuals with an evening chronotype, and individuals who had <6 h sleep/night, experienced poor sleep quality, and moderate-to-severe sleep disturbance were at increased risk of experiencing severe SI. Individuals with more languid types tended to show more severe SI, while individuals reporting greater flexibility experienced less SI. This study is the first effort to examine the profiles of subjective SI using latent profile analysis and identified four profiles of SI in the general population. This effort may contribute to a greater understanding of SI, including the development of a screening tool and interventions to reduce SI.

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.

Trajectories of mental health symptoms predict long-term quality of life among Wenchuan adolescent survivors: A 10-year follow-up study.

PURPOSE: Previous studies usually examine the associations between psychological distresses and quality of life (QOL) with a variable-centred approach, while little is known about the effect of the individual variance in time-varying changes of psychological distresses on QOL. Therefore, this study aimed to examine whether individual variance in psychological distresses during the early phases post-earthquake would develop different QOL's levels among adolescent survivors 10-year after the Wenchuan earthquake. METHODS: Data were extracted from the Wenchuan Earthquake Adolescent Health Cohort Study. The current study included 744 adolescent survivors who effectively completed surveys at 6 months, 24 months, and 10 years after the earthquake. Self-report questionnaires were administered to collect information on socio-demographic characteristics, earthquake exposure, life events, anxiety symptoms, depressive symptoms, posttraumatic stress symptoms (PTSS), and QOL. Data were analysed using hierarchical multiple regression. RESULTS: Trajectories of psychological distresses were classified as follow: resistance (anxiety 40.73%; depression 54.70%; PTSS 74.46%), recovery (anxiety 17.20%; depression 9.27%; PTSS 10.35%), delayed dysfunction (anxiety 10.35%; depression 18.15%; PTSS 6.18%), and chronicity (anxiety 31.72%; depression 17.88%; PTSS 9.01%). After controlling covariates, hierarchical multiple regression only revealed that the anxiety trajectory with delayed dysfunction remained significantly predictive for four domains of QOL (physical health, psychological health, social relationships, and environment). CONCLUSION: The current study highlights the importance of focusing on the variations in trajectories of anxiety symptoms among disaster survivors and providing individualized mental health services to improve survivors' QOL.

Emotion reactivity-related brain network analysis in generalized anxiety disorder: a task fMRI study.

BACKGROUND: Generalized anxiety disorder (GAD) is closely associated with emotional dysregulation. Patients with GAD tend to overreact to emotional stimuli and are impaired in emotional regulation. Using emotional regulation task, studies have found hypo-activation in prefrontal cortex (PFC) of GAD patients and concluded with inadequate top-down control. However, results remain inconsistent concerning PFC and limbic area's reactivity to emotional stimuli. What's more, only a few studies aim to identify how limbic area interacts with PFC in GAD patients. The current study aims to identify the difference in PFC-limbic circuitry response to emotional stimuli between GAD patients and healthy controls (HCs) from the perspective of brain network. Through brain network analysis, it revealed the connectivity between limbic area and PFC, and moreover, the orientation of connectivity, all of which gave a better test of inadequate top-down control hypothesis. METHODS: During fMRI scanning, participants were required to complete an emotional face identification task (fearful, neutral, happy facial expression). 30 participants (16 GAD patients, 14 HCs) were included in the formal analysis. A Bayesian-network based method was used to identify the brain network consisting of several pre-hypothesized regions of interest (ROIs) under each condition (negative, positive, neutral). In total, six graphs were obtained. Each of them represented the brain network that was common to the group under corresponding condition. RESULTS: Results revealed that GAD patients showed more bottom-up connection but less top-down connection regardless of condition, relative to HCs. Also, the insula was more connected but the amygdala was less connected regardless of condition, relative to HCs. the results also revealed a very different brain network response between GAD patients and HCs even under neutral condition. CONCLUSIONS: More bottom-up connection but less top-down connection may indicate that GAD patients are insufficient in top-down control, in keeping with inadequate top-down control hypothesis. The more connected insula may indicate GAD patients' abnormality in interoception processing. Relative to HCs, distinct brain network response pattern in GAD patients under neutral condition suggests GAD patients' abnormality in distinguishing safety from threat and intolerance of uncertainty.

Structural imaging biomarkers for bipolar disorder: Meta-analyses of whole-brain voxel-based morphometry studies.

BACKGROUND: Bipolar disorder (BD) is a common and destructive psychiatric illness worldwide. Although it is known that BD is associated with morphological abnormalities of the brain, the regions implicated in BD remain unclear. Therefore, we aimed to update current knowledge on potential structural imaging biomarkers of BD. METHODS: Studies published up to January 31, 2018, were identified by a comprehensive literature search of PubMed, EBSCO, and BrainMap voxel-based morphometry (VBM) database. Whole-brain VBM studies that examined gray matter (GM) abnormalities of group comparisons between BD and healthy controls (HC) and reported results as coordinates in a standard reference space were included. Different meta-analyses were performed by activation likelihood estimation (ALE) algorithm. RESULTS: A total of 46 studies with 56 experiments, including 1720 subjects and 268 foci were included. Seven different meta-analyses were calculated separately across experiments reporting decreased or increased GM volume among BD, BDΙ, BD-adults, and BD-youths groups. Fifteen regions of significantly different GM volume between four groups and HC were identified. There were extensive GM deficits in the prefrontal and temporal cortex, and enlargements in the putamen, cingulate cortex, and precuneus. CONCLUSIONS: The results revealed that the thinning of prefrontal cortex was a key region in the pathophysiology of BD. The enlargement of the cingulate cortex may be implicated in a compensatory mechanism. It underscored important differences between BD-adults and BD-youths and specific biomarkers of three subgroups.

Tobacco smoking, second-hand smoking exposure in relation to psychotic-like experiences in adolescents.

BACKGROUND: Previous literature supports that tobacco smoking and second-hand smoking (SHS) exposure were strongly associated with poor mental health in the general population. However, there is a lack of empirical data on the relationship between tobacco smoking, SHS exposure and psychotic-like experiences (PLEs). This study conducted a cross-sectional survey to explore PLEs and the associations of PLEs with tobacco smoking and SHS exposure among adolescents in China. METHODS: A total sample of 67 182 Chinese adolescents were recruited from Guangdong province in China (53.7% boys, mean age = 12.79 years) from December 17 to 26, 2021. All adolescents have completed self-reported questionnaires on demographic characteristics, smoking status, SHS exposure and PLEs. RESULTS: Within the sample, only 1.2% of participants had an experience of tobacco smoking while approximately three-fifths reported being exposed to SHS. 10.7% of adolescents reported frequent PLEs over the past month. Adolescents who smoked showed a higher prevalence of PLEs than in non-smoking samples. After controlling for confounders, SHS exposure was a robust risk factor for PLEs with or without the effect of tobacco smoking. DISCUSSION: These findings support the importance of smoke-free legislation, and anti-smoking measures in educational settings directed at both adolescents and their caregiver, which may decrease occurring rates of PLEs among adolescents.

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.

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.

Prevalence of cyberbullying involvement and its association with clinical correlates among Chinese college students.

BACKGROUND: Cyberbullying refers to a modern form of bullying that could be practiced electronically or on the Internet. This study conducted a cross-sectional survey to explore different types of cyberbullying involvement (CI) and the associations of CI with demographic characteristics and mental health problems among Chinese college students. METHODS: A total sample of 18,578 Chinese college students were recruited (68.1 % female, mean age = 20.07 years) from October 17 to 29, 2023. All participants completed self-reported web-based questionnaires on demographic characteristics, CI, sleep disturbance, depression, anxiety, and suicidal ideation. RESULTS: More than a quarter of participants (27.5 %) have been involved in cyberbullying: specifically speaking, 10.1 % cybervictims, 4.7 % cyberbullies, and 12.7 % both (cyberbully-victims). Males, younger age, left-behind experiences, individuals with poorer family economic status, adolescents with chronic physical illness, and those with family history of mental disorders are more likely to experience CI. Unlike participants without CI, cybervictims and cyberbully-victims reported a higher risk of sleep disturbance, depression, anxiety, and suicidal ideation. Cyberbullies also have a higher rate of sleep disturbance and depression than their peers who are not involved in cyberbullying. CONCLUSION: Our findings indicate that CI is widespread among Chinese college students, and CI is associated with the high reported rates of a series of psychopathology. This study highlights the significance of implementing anti-cyberbullying interventions specifically targeted at college students. Furthermore, it underscores the importance of monitoring changes in students' mental health status throughout the intervention process.

Prevalence, correlates, and mental health outcomes of social jetlag in Chinese school-age adolescents: A large-scale population-based study.

BACKGROUND: This cross-sectional study aimed to examine the prevalence and correlates of social jetlag (SJL) in Chinese adolescents, as well as to test the relationships between SJL and mental health problems. METHODS: A total of 106979 students (Mage = 13.0 ± 1.8 years; Nmale = 58296 [54.5 %]) from Shenzhen, China completed an online survey from May 24th to June 5th, 2022. Information on sociodemographics, lifestyles, sleep characteristics, anxiety symptoms, and depressive symptoms was collected by a self-administered questionnaire. Multivariate and binary logistic regression were adopted for data analysis. RESULTS: 17.8 % of participants experienced SJL ≥ 2 h. To adjust the accumulated sleep debt, sleep-corrected SJL (SJLsc) was calculated and 8.3 % of individuals self-reported SJLsc ≥ 2 h. Both SJL and SJLsc show an increasing trend with age. Risk factors of SJL included females, poor parental marital status, being overweight, physically inactive, smoking, drinking, and having a late chronotype. Moreover, males, having siblings, boarding at school, short sleep duration, experiencing insomnia, and frequent nightmares were significantly associated with an increased risk of SJLsc. After adjusting for all covariates, adolescents with SJLsc ≥ 2 h were more likely to have anxiety symptoms (OR: 1.35, 95 % CI: 1.24-1.48) and depressive symptoms (OR: 1.35, 95 % CI: 1.25-1.46) than those with SJLsc < 1 h. CONCLUSIONS: SJL is common among Chinese school-age adolescents. This study is valuable for the development of prevention and intervention strategies for SJL in adolescents at the population level. Additionally, the strong links between SJLsc and emotional problems underscore the critical significance of addressing SJL as a key aspect of adolescent well-being.

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.

Changes and relevant factors in depressive and anxiety symptoms among Chinese adolescents after the "Double Reduction" policy: A repeated cross-sectional survey with a nested longitudinal subsample.

BACKGROUND: The Chinese government has enacted the "Double Reduction" Policy, which aims to reduce students' academic burden and promote their mental health, but there is limited research examining the policy's impact on students' well-being. This study aims to evaluate changes in students' mental health problems before and after the "Double Reduction" Policy and explore relevant influential factors. METHODS: A total of 101,976 elementary and junior high school students were recruited before the "Double Reduction" Policy, and 91,832 students were recruited one year later. Through data integration, a total of 36,637 students participated in both web-based surveys and provided complete data on all measures. RESULTS: As a whole, we found that the prevalence of students' depression (12.1 % to 9.2 %) and anxiety (8.9 % to 6.2 %) tended to decline after the "Double Reduction" Policy. Attending private school, reduced homework, more extracurricular activities, more time with parents, reduced academic stress, and sleep duration ≥8 h/n were associated with the decrease in the likelihood of mental health problems in students. Female gender, negative life events, and negative impact of COVID-19 as risk factors for mental health. CONCLUSIONS: These findings indicated that the "Double Reduction" Policy has improved the well-being of Chinese students. Reducing students' homework burden and alleviating their academic pressure are beneficial for their mental health. Increasing time for extracurricular activities and interaction with parents, as well as ensuring sufficient sleep for students, are also effective ways to prevent the onset and exacerbation of mental health symptoms in adolescents.

Visible-Light Self-Powered Photodetector with High Sensitivity Based on the Type-II Heterostructure of CdPSe3/MoS2.

Transition metal thiophosphates (MTPs) are a group of emerging van der Waals materials with widely tunable band gaps. In the MTP family, CdPSe3 is demonstrated to possess a wide energy band gap and high carrier mobility, making it a potential candidate in optoelectronic applications. Here, we reported photoelectric response behaviors of both CdPSe3- and CdPSe3/MoS2-based photodetectors (noted as CPS and CM, respectively); these showed prominent photoelectric performances, and the latter proved to be significantly superior to the former. These devices exhibited ultralow dark current at a magnitude order of 10-12 A and fine cycle and air stabilities. Compared with CPS, CM demonstrated the highest responsivity (91.12 mA/W) and detectivity (1.74 × 1011 Jones) at 5 V under 425 nm light illumination. Besides, CM showed self-powered photoelectric responses at zero bias, which was attributed to the improved separation efficiency of photogenerated carriers by the built-in electric field at the interface of the p-n junction. This work proves a prospect for the CM device in portable, self-powered optoelectronic device applications.

Cross-Lagged Panel Networks of Sleep Inertia Across Its Distinct Change Patterns Among Intern Nurses with Shift Work in China.

Purpose: Although experimental psychopathology using PET, EEG, and fMRI is at the forefront of understanding the underlying mechanisms of sleep inertia, many questions concerning causality remain unanswerable due to ethical constraints and the use of small and heterogeneous samples in experimental methods. There is a pressing need for a novel perspective in a large and relatively homogeneous population to fully capture and elucidate longitudinal processes and dynamic causality that culminate in episodes of sleep inertia over time. Therefore, this study aimed to reveal the causal relationships between symptoms of sleep inertia across its distinct patterns. Patients and Methods: A total of 1636 intern nurses participated in the first survey (94.1% validity rate), then 1277 intern nurses were followed up (82.9% tracing rate). Symptoms of sleep inertia were self-reported using the Sleep Inertia Questionnaire. The cross-lagged panel network models were used to examine unique longitudinal relationships between symptoms of sleep inertia across distinct trajectories. Results: Four distinct trajectories of sleep inertia were established. Additionally, we found differences in those symptoms with the highest influence on other symptoms at the subsequent point across the networks of four trajectories, particularly, "Difficulty in concentrating" in the persistent-high group and "Feeling tense" in the deteriorating groups. Conclusion: The current study highlights changes in sleep inertia based on the long-term course over time. Notably, symptoms of "Difficulty in concentrating" and "Feeling tense" are imperative to address these specific symptoms within subpopulations.