Background and objectiveThe rapid popularization of the Internet among Chinese adolescents has resulted in the emergence of a public major concern known as Internet Gaming Disorder (IGD). As demonstrated by previous studies, an association has been demonstrated among emotional distress, gaming motives and IGD. Nevertheless, the specific pathways connecting these constructs remain to be elucidated. The present study aims to explore the network structure characterizing the interactions among these three constructs and to identify potential targets for psychological interventions.MethodsThis was a cross-sectional survey conducted in city of Hangzhou. A total of 3,795 middle school students were included in the analysis. The 21-item Depression Anxiety Stress Scale (DASS-21), the Motives for Online Gaming Questionnaire (MOGQ), and the Chinese version of the Ten-Item Internet Gaming Disorder Test (IGDT-10) were used to assess emotional distress, gaming motives and IGD symptoms, respectively. Network analyses were performed using R4.5.1 software to explore the interrelationships among emotional distress, gaming motives and IGD symptoms, and identify the core symptoms and bridge symptoms.ResultsIn the depression combined network model, the presence of bridge symptoms was indicated by no initiative (D2), gaming for escape or mood relief (IGD8) and fantasy motive (fan). In anxiety combined network model, the bridge symptoms included coping motive(cop), gaming for escape or mood relief (IGD8), withdrawal (IGD2), mouth dryness (A1), and fear of embarrassment (A4). The bridge symptoms in the stress combined network model were gaming for escape or mood relief (IGD8), difficulty winding down (S1), withdrawal (IGD2), nervous energy expenditure (S3), and coping motive (cop).ConclusionThe present study explored complex network structure among psychological distress, gaming motivation, and IGD. and suggested fantasy and coping motive as bridges connecting psychological distress and IGD. Besides, our research identified no initiative, mouth dryness, difficulty winding down, fear of embarrassment, and nervous energy expenditure as the best targets for intervention to reduce IGD.
<![CDATA[Definium’s CMO says FDA talks stay aligned with their plans for advancing DT120 ODT for the treatment of depression, anxiety, and now PTSD.]]>
Impact of extremely low frequency electromagnetic fields exposure on sleep quality and mental health in a Tunisian power plant: a cross-sectional study
IntroductionExtremely low-frequency electromagnetic fields (ELF-EMFs) are ubiquitous in our daily life. They may have an impact not only on physical health but also on mental health.ObjectivesTo assess the impact of occupational exposure to the ELF-EMFs on sleep quality, depression, anxiety and stress among workers at the Tunisian Electricity and Gas Company (TEGC).MethodsThis was a cross-sectional study. The study population included two groups: an exposed group (EG), consisting of power plant employees, and a non-exposed group (NEG), consisting of administrative workers. Exposure to ELF-EMFs was assessed via spot measurements using a magnetometer. Sleep quality, depression, anxiety and stress were assessed by the French versions of the Pittsburgh Sleep Quality Index (PSQI) and the Depression, Anxiety and Stress Scale (DASS-21).ResultsSeventy-seven participants in the EG and 88 participants in the NEG were included in the study. The median value of the ELF-EMFs was 5.86 μT at the power plant [min 0.1, max 40.34 μT]. According to the PSQI global score, 64.9% of the EG had poor sleep quality versus 29.5% of the NEG. Depression was registered in 24.7% of EG and in 3.4% of NEG. Anxiety was noted in 23.4% of the EG and in none of the NEG. Stress was found in 46.8% of the EG and none of the NEG. After multivariate analysis, ELF-EMF exposure was significantly associated with poor sleep quality and depression.ConclusionThe present study revealed that ELF-EMFs can affect sleep and mental health. Further studies are needed to explain the mechanism involved.
Cyclothymic and anxious affective temperament in perinatal depression: findings from an exploratory cross-sectional study
IntroductionThe perinatal period represents a vulnerable period in which women may experience high psychic distress due to psychological, biological and social changes. The prevalence of perinatal depression (PND) is estimated around 15%-20% during pregnancy and 16%-18% after childbirth. Although several risk factors have been investigated in the PND development, few studies explored the role of affective temperaments, well known to exert a role in any mood disorders. The aim of our study was to explore which is the most represented affective temperamental profile in PND as well as which is its role in the development and severity of depressive symptoms during perinatal period.MethodsAll pregnant women admitted at the Perinatal Mental Health Outpatient Service, Unit of Clinical Psychiatry, University Hospital of Marche, Polytechnic University of Marche, Ancona, Italy, between April 2021 and July 2025, were screened for PND through Edinburgh Postnatal Depression Scale (EPDS) and a semi-structured clinical interview (SCID-5-CV). Temperament Evaluation of Memphis, Pisa, Paris and San Diego (TEMPS-M) was administered to all pregnant women. ResultsThe PND prevalence was 33.1%. PND was significantly associated with higher cyclothymic (B = 0.356, p = 0.001) and anxious TEMPS-M scores (B = 0.247, p = 0.026) and a positive psychiatric history (B = 5.245, p < 0.001) (R = 0.6, R2 = 0.36, F(3,129) = 24.189, p < 0.001). Logistic regression indicated that cyclothymic (Exp(B)=1.118, p=0.008), hyperthymic (Exp(B)=0.911, p=0.049), anxious temperaments (Exp(B)=1.109, p=0.029), presence of medical comorbidities (Exp(B)=0.224, p=0.003) and psychiatric history (Exp(B)=5.144, p=0.001) were independent predictors of PND.DiscussionAffective temperaments, particularly cyclothymic and anxious profiles, and prior psychiatric history are predictors of perinatal depression. Incorporating temperament assessment alongside standard screening tools such as the EPDS may improve early identification of women at risk, supporting tailored preventive and therapeutic strategies.
Growth, Empowerment, and Mindfulness (GEM): A Mindfulness-based Intervention to Address Mental Health in Young Adults With Early Life Adversity
Conditions: Anxiety; Depression
Interventions: Behavioral: Growth, Empowerment, and Mindfulness (GEM)
Sponsors: Brown University
Recruiting
Interventions: Behavioral: Growth, Empowerment, and Mindfulness (GEM)
Sponsors: Brown University
Recruiting
Effectiveness of a Fully Automated Mobile Therapeutic Versus a General Chatbot in Reducing Depression and Anxiety and Improving Well-Being: Feasibility Randomized Controlled Trial
Background: Given the increasing prevalence of depression and anxiety disorders and enduring barriers to care, there is a critical need for alternative treatment options. Generative artificial intelligence (AI) chatbots show promise for increasing access to mental health care, though more direct research is needed to establish their efficacy. Objective: This pilot study aimed to test the efficacy of a generative mental health chatbot rooted in solution-focused therapy compared to the general-purpose ChatGPT and an assessment-only control (AOC) group on depression, anxiety, and well-being. Methods: A total of 185 English-speaking adults were recruited online and randomly assigned to one of three groups: AI therapy, ChatGPT, or AOC. Of these, 147 eligible participants filled out a pretreatment assessment. Over a 3-week period, the AI therapy group (n=44) was instructed to complete 3 structured, fully automated app-based sessions per week (9 total), while the ChatGPT group (n=60) was instructed to engage in 9 unstructured conversations with ChatGPT (GPT-4o–based models). The control group (n=43) received no intervention. In the AI therapy group, 39% (n=17) completed all sessions, as did 62% (n=38) of those in the ChatGPT group. Primary outcome measures, self-assessed online at baseline and postintervention, included the Patient Health Questionnaire-9 (PHQ-9), Overall Depression Severity and Impairment Scale (ODSIS) (depression), 7-item Generalized Anxiety Disorder Scale (anxiety), and World Health Organization Well-Being Index (5-item version) (well-being). Linear mixed effects models were used for data analysis. Results: Compared to AOC, both the AI therapy group (=−0.47; =.01) and the ChatGPT group (=−0.44; =.02) demonstrated significant reductions in depression scores measured by PHQ-9. The AI therapy group showed nonsignificant reductions in anxiety (=−0.37; =.11) and ODSIS depression scores (=−0.25; =.22) and an increase in well-being (=0.12; =.53) compared to AOC. Similarly, a nonsignificant reduction in anxiety (=−0.27; =.22) and ODSIS depression scores (=−0.12; =.53) and an increase in well-being (=0.20; =.29) were observed in the ChatGPT group compared to AOC. The AI therapy group did not significantly outperform the ChatGPT group on any outcomes (PHQ-9: =−0.19; =0.03; =.87; 7-item Generalized Anxiety Disorder Scale: =−0.57; =−0.11; =.62; ODSIS: =−0.59; =−0.13; =.50; and WHO: =−0.38; =−0.07; =.69). Conclusions: Both the structured generative AI chatbot and ChatGPT showed a significant reduction in depression scores compared to the control group. No significant effects were observed across other outcomes, although descriptive trends indicated improvements in anxiety. While the AI therapy group showed descriptively better outcomes for depression and anxiety, differences between groups were not significant. A larger sample and longer intervention may be needed for the emerging trends to yield clinically meaningful effect sizes. Trial Registration: OSF Registries osf.io/r76ef;
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/79f5e531de1d0b2de861e05b715c91f7" />
<![CDATA[Two-dose oral R‑MDMA, EMP-01, cuts social anxiety symptoms and real‑world avoidance in phase 2a study, with strong responder rates and good tolerability.]]>
Oral administration of kratom leaf extract alleviates anxiety-like behavior, urinary bladder pain, voiding dysfunction, and bladder hypercontractility via attenuating muscarinic receptor response in male mice exposed to chronic water avoidance stress
Psychological stress causes and deteriorates interstitial cystitis/painful bladder syndrome with urinary frequency, incontinence, bladder pain and urgency. The major alkaloid of kratom (Mitragyna speciosa), mitragynine, shows analgesic, anxiolytic, and smooth muscle relaxant effects. However, the effects of kratom leaf extract on stress-induced anxiety-like behavior, urinary bladder pain and urinary bladder dysfunction remain unknown. Therefore, this study aims to examine the effect of kratom leaf extract administration on anxiety-like behaviors, bladder pain, bladder contractile properties, and mast cell number in mice exposed to water avoidance stress. Male C57BL/6 mice were exposed to water avoidance stress (WAS) protocol for 10 consecutive days and compared with the stress-exposed mice receiving oral administration of kratom leaf extract (2.5 and 5 mg/kg of mitragynine) or solifenacin (10 mg/kg). Anxiety-like behaviors were assessed using open field test. Bladder pain sensitivity was evaluated with von Frey test, while voiding behavior was analyzed using voiding pattern analysis. Bladder contractility was examined using an in vitro organ bath technique, and urinary bladder mast cell infiltration was assessed by toluidine blue staining. Results show that mice receiving WAS had a reduction in the total duration and number of unsupported rearing behaviors, reduced voiding area, and increased bladder pain responses; however, these effects were reversed by treatment with kratom leaf extract (2.5 and 5 mg/kg of mitragynine). Interestingly, the WAS group also exhibited markedly increased tonic contractions in response to carbachol, a muscarinic agonist; these responses were attenuated in mice treated with kratom leaf extract (2.5 and 5 mg/kg) The enhanced tonic contractile response to carbachol was abolished by pre-incubation with ondansetron (a 5-HT₃ antagonist). The WAS group showed an increased total number of mast cells in the urinary bladder, which was reduced by treatment with kratom leaf extract at both 2.5 and 5 mg/kg. Our results indicate that treatment with kratom leaf extract attenuated chronic stress–induced bladder pain responses, voiding abnormalities, and mast cell numbers, and was associated with reduced contractile response to muscarinic stimulation, suggesting a potential modulatory effect on stress-induced bladder dysfunction.
The temporal stability of core symptoms of social media addiction and their comorbidity with anxiety and depression in adolescents: a longitudinal network analysis
IntroductionSocial media addiction (SMA) is often comorbid with anxiety and depression. This study examined the temporal stability of core SMA symptoms and the bridging symptoms with anxiety and depression.MethodsA total of 1,240 adolescents (179 males, 1,061 females; mean age = 15.46 ± 0.63 years, age range: 14 – 18) completed the Bergen Social Media Addiction Scale (BSMAS), the Patient Health Questionnaire–9 (PHQ–9), and the Generalized Anxiety Disorder–7 (GAD–7) on two separate occasions in 2023 (T1) and 2024 (T2). The four symptom networks, including the BSMAS networks, two comorbidity networks (the BSMAS–GAD and the BSMAS–PHQ), and the integrated BSMAS–GAD–PHQ network, were estimated using Gaussian graphical models. Core symptom centrality was assessed using Expected Influence (EI), whereas bridge symptoms were identified using Bridge Expected Influence (BEI).Results1) Although SMA, anxiety, and depression levels of respondents rose significantly over the year, all four networks showed strong temporal stability, with the edge weights (r = .892 –.973, p < .001), the EI (r = .806 – .961, p ≤ .002), and the BEI (r = .699 – .804, p ≤ .008) highly correlated between T1 and T2; network comparison tests showed no significant changes in overall structures of all four networks, with most edges showing stable weights. 2) Within the BSMAS network, BSMAS2 (tolerance) and BSMAS6 (conflict) exhibited the highest EI at both time points. 3) In the comorbidity networks, BSMAS3 (mood modification), BSMAS5 (withdrawal), and BSMAS6 (conflict) consistently served as bridge symptoms on the SMA side at both T1 and T2. 4) Across both time points, PHQ1 (anhedonia) and PHQ7 (concentration problems) exhibited the highest BEI on the depression side, whereas GAD1 (nervousness) and GAD5 (restlessness) did so on the anxiety side. 5) These bridge symptoms were also confirmed in the integrated network.DiscussionThese findings illuminate the temporal persistence and development of symptom relationships, offering a more dynamic understanding of SMA–depression–anxiety comorbidity in adolescents.
Psychometric properties of Lithuanian translation of the self-report version of the Liebowitz social anxiety scale in young adult sample
BackgroundSocial anxiety disorder starts in adolescence or young adulthood and may have damaging effects on psychosocial development of the individual. Any intervention starts from assessment and the Liebowitz social anxiety scale with later developed self-report version is a valuable tool for practitioners for almost four decades. Even though the original version and adaptations have consistently demonstrated good reliability, there remains considerable debate regarding the factor structure. The aim is to test the factor structure and internal consistency of Lithuanian translation of the self-report version of the Liebowitz social anxiety scale (LSAS-SR) in a non-clinical young adult sample.MethodData of 452 young adults (mean age 21.3, 69.7% female) who volunteered participate in the study was used. Two factor solutions were tested: a single-factor model, with anxiety/fear and avoidance ratings loading on one factor, and a higher-order factor model, including two second-order scales (anxiety/fear scale and avoidance scale) and four first-order subscales (social interaction anxiety, performance anxiety, social interaction avoidance, performance avoidance). Internal consistency assessed using Cronbach’s alpha.ResultsLithuanian version has excellent internal consistency for the total score, scales and subscales, with Cronbach’s alfas ranging.85-.96. Confirmatory factor analysis shows that both tested models have acceptable data fit (RMSEA = .062-.067; CFI = .93-.94), however strong associations between (sub)scales, i.e. correlations exceeding.80, suggests that the use of scale and subscale scores may be less informative, especially in cross-sectional research, but could provide nuanced information in individual assessment.ConclusionFurther research on psychometric properties of Lithuanian versions of LSAS-SR should focus on verifying these results in a representative sample and in a clinical sample as well as testing the convergent and discriminant validity.