Methamphetamine(METH)addiction is a severe and increasingly prevalent neuropsychiatric disorder for which current diagnostic and therapeutic approaches remain limited and predominantly symptom-oriented.Exercise,as a s...Methamphetamine(METH)addiction is a severe and increasingly prevalent neuropsychiatric disorder for which current diagnostic and therapeutic approaches remain limited and predominantly symptom-oriented.Exercise,as a safe,accessible and cost-effective non-pharmacological intervention,has emerged as a promising strategy to ameliorate METH-induced neurotoxicity and addiction-related behaviors.Growing evidence indicates that these benefits are closely linked to the regulation of exercise-induced biomarkers,defined as molecular indicators whose expression or activity is dynamically altered during or after physical activity.This review focuses on the core regulatory role of exercise-induced biomarkers in METH addiction and systematically summarizes their involvement in key neurobiological pathways,outlining molecular pathological mechanisms such as dysregulation of dopamine,glutamate and GABA neurotransmitter systems,neuroinflammation and oxidative stress,and epigenetic remodeling,and emphasizing how these processes converge on changes in candidate biomarkers in the brain and periphery.On this basis,the review describes how exercise modulates neural plasticity,neurotransmitter systems,inflammation and oxidative stress through biomarkers such as brain-derived neurotrophic factor(BDNF),exerkines,inflammatory cytokines,metabolites and noncoding RNAs,with particular attention to neurotrophic and immune-related markers,microRNAs and other epigenetic regulators that can reverse METH-induced synaptic and structural abnormalities and promote recovery of cognitive and emotional functions.Advances in high-throughput omics technologies,including transcriptomics,metabolomics and multi-omics integration,are summarized to illustrate the screening and identification of key exercise-responsive biomarkers.Studies in METH-addicted animal models have revealed differentially expressed genes,signaling pathways(e.g.,PI3K-Akt,mTOR,Wnt)and core nodes such as NFKBIA and CXCL12 that may mediate the protective effects of exercise.The review further discusses the potential of exercisemediated biomarkers as objective indicators for diagnosis,dynamic monitoring of therapeutic efficacy and patient stratification.Multi-gene diagnostic models based on peripheral samples(e.g.,hair follicles,blood)demonstrate how biomarker panels can distinguish non-recovered,almost-recovered and healthy individuals,providing a molecular basis for staging METH use disorder and evaluating the impact of exercise interventions.The temporal dynamics of biomarker changes before and after exercise are highlighted,underscoring the value of longitudinal monitoring of factors such as BDNF,immune-related genes and circulating microRNAs to capture treatment-relevant windows of plasticity.In addition,the underlying molecular basis of exercise as an adjunct therapy and gene-targeted exercise strategies that leverage individual biomarker and gene expression profiles to optimize exercise prescriptions are summarized.Current conceptual and technical challenges are outlined,including heterogeneity of biomarker responses,individual variability,assay sensitivity and specificity,and gaps between preclinical findings and clinical application,together with future directions for integrating exercise with multi-omics,artificial intelligence-assisted biomarker discovery and,prospectively,gene-editing-based interventions.Particular emphasis is placed on the need to standardize exercise protocols,incorporate stage-specific and sex-sensitive designs,and combine exercise with pharmacotherapy and psychosocial rehabilitation in real-world clinical settings across diverse healthcare systems.Overall,this review aims to provide a comprehensive and integrated mechanistic framework and updated theoretical support for the application of exercise-mediated biomarkers in the diagnosis,therapeutic effect monitoring and personalized intervention of METH addiction,and to offer new and clinically relevant insights into the development of precision medicine strategies for substance use disorders.展开更多
Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims ...Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims to validate the 21-item SocialNetwork Addiction Scale-Chinese(SNAS-C)in its Chinese version and to determine its optimal cutoff score for identifying potential SNA cases within the college student population.Methods:A crosssectional survey was conducted,recruiting 3387 college students.Latent profile analysis(LPA)and receiver operating characteristic(ROC)curve analysis were employed to establish the optimal cutoff score for the validated 21-item SNAS-C.Results:Three profile models were selected based on multiple statistical criteria,classifying participants into low-risk,moderate-risk,and high-risk groups.The highest-risk group was defined as“positive”for SNA,while the remaining groups were considered“negative”,serving as the reference standard for ROC analysis.The optimal cutoff score was determined to be 72(sensitivity:98.2%,specificity:96.86%),with an overall classification accuracy of 97.0%.The“positive”group reported significantly higher frequency of social network usage,greater digitalmedia dependence scores,and a higher incidence of network addiction.Conclusion:This study identified the optimal cutoff score for the SNAS-C as≥72,demonstrating high sensitivity,specificity,and diagnostic accuracy.This threshold effectively distinguishes between high-risk and low-risk SNA.展开更多
Objectives:The addiction of the student population to short-form video platforms such as TikTok(Douyin)is becoming increasingly apparent and is rapidly expanding.This emerging addiction is also believed to have negati...Objectives:The addiction of the student population to short-form video platforms such as TikTok(Douyin)is becoming increasingly apparent and is rapidly expanding.This emerging addiction is also believed to have negative impacts on students’academic,social,and emotional well-being.Consequently,video addiction has become an important public health issue on campuses around the world.Therefore,this study aimed to investigate the relationship between two types of TikTok addiction(video and live streaming)and social and emotional learning(SEL),including self-awareness,self-management,social awareness,relationship skills,and responsible decision-making.Methods:Previous research has indicated that some students at vocational colleges become addicted to short-form videos.Accordingly,this study employed a snowball sampling method to survey students at vocational institutions across China.A total of 563 valid responses were obtained,yielding an effective response rate of 84.66%.The mean age of participants was 20.20 years old(SD=1.36).Data were validated with structural equation modeling.Results:Results showed that both video content addiction and live-streaming content addiction negatively correlatedwith all five dimensions of SEL.This also represents that all 10 hypotheses are valid and significant at p<0.001.Theeffect sizes ranged from 0.48 to 0.54,which represents larger effect sizes.Notably,TikTok addiction showed the strongest explanatory power for self-awareness.This indicates that higher levels of addiction to either video or live-streaming content are associatedwith poorer performance across all facets of social and emotional learning,including self-awareness,emotion regulation,interpersonal relationships,sense of responsibility,and empathy.Conclusion:This study found that TikTok addicts entered a state of ego depletion due to impaired self-regulation.This depletion then caused their subsequent self-control efforts during learning to fail.Our results also support the ego depletion theory,which posits that engaging in self-regulatory behaviors consumes limited self-control resources and can trigger a range of complex cognitive,emotional,and behavioral problems.This result also draws attention to the negative consequences of excessive use of short videos for social awareness and emotional performance.展开更多
BACKGROUND The prevalence of addiction makes it a significant public health issue.Recently,transcranial magnetic stimulation(TMS)has garnered significant attention as a promising treatment for addiction.AIM To analyze...BACKGROUND The prevalence of addiction makes it a significant public health issue.Recently,transcranial magnetic stimulation(TMS)has garnered significant attention as a promising treatment for addiction.AIM To analyze development trends and research hotspots in TMS-based addiction treatment using a bibliometric approach.METHODS Articles on TMS-based addiction treatment from 2001 to 2023 were sourced from the Science Citation Index Expanded in the Web of Science Core Collection.CiteSpace software,VOSviewer,the"bibliometrix"R software package,and the bibliometric online analysis platform were used to analyze the current publication trends and hotspots.RESULTS Total 190 articles on TMS-based addiction treatment were identified,with clinical studies being the most prevalent.The United States led in both publication volume and international collaborations.Medical University of South Carolina and Zangen A were the most productive institution and author,respectively.Neurobiology,alcohol use disorder,and repetitive TMS were the most recent research hotspots.CONCLUSION Future research should focus on the neurobiological mechanisms underlying TMS-based addiction treatment.This study offers comprehensive insights and recommendations for advancing research on TMS-based addiction treatment.展开更多
Understanding the cellular mechanisms of drug addiction remains a key task in current brain research.While neuron-based mechanisms have been extensively explored over the past three decades,recent evidence indicates a...Understanding the cellular mechanisms of drug addiction remains a key task in current brain research.While neuron-based mechanisms have been extensively explored over the past three decades,recent evidence indicates a critical involvement of astrocytes,the main type of non-neuronal cells in the brain.In response to extracellular stimuli,astrocytes modulate the activity of neurons,synaptic transmission,and neural network properties,collectively influencing brain function.G protein-coupled receptors(GPCRs)expressed on astrocyte surfaces respond to neuron-and environment-derived ligands by activating or inhibiting astrocytic signaling,which in turn regulates adjacent neurons and their circuitry.In this review,we focus on the dopamine D1 receptors(D1R)and metabotropic glutamate receptor 5(mGLUR5 or GRM5)—two GPCRs that have been critically implicated in the acquisition and maintenance of addiction-related behaviors.Positioned as an introductory-level review,this article briefly discusses astrocyte biology,outlines earlier discoveries about the role of astrocytes in substance-use disorders(SUDs),and provides detailed discussion about astrocytic D1Rs and mGLUR5s in regulating synapse and network functions in the nucleus accumbens(NAc)—a brain region that mediates addictionrelated emotional and motivational responses.This review serves as a stepping stone for readers of Engineering to explore links between astrocytic GPCRs and drug addiction and other psychiatric disorders.展开更多
Overeating is a risk factor and a management challenge in adiposity-based chronic disease(ABCD).Acupuncture has shown high safety and reliable clinical evidence in addressing overeating,and it is the promising potenti...Overeating is a risk factor and a management challenge in adiposity-based chronic disease(ABCD).Acupuncture has shown high safety and reliable clinical evidence in addressing overeating,and it is the promising potential non-pharmacological intervention.However,the mechanism underlying its effects has not been sufficiently summarized.The addiction model offers a framework to elucidate the mechanism of this aberrant eating behavior and provides novel perspectives and breakthrough points for optimizing clinical acupuncture strategies in ABCD management.In the paper,through analyzing domestic and in-ternational relevant findings,the characteristics of overeating based on food addiction,the relationship between overeating and ABCD,and the potential effect mechanisms of acupuncture for FA have been re-viewed and summarized.Including adaptive balance of transmitters and hormones,functional networks,periphery-central connection,and cross-system interaction.In future studies,the maturely-developed ad-diction research methods should be adopted to deepen the exploration on the mechanism of acupuncture effect,addiction medicine should be leveraged to shatter the cognitive barriers surrounding acupuncture’s role in mind-body regulation for ABCD treatment,and the prevention and treatment of overeating via acupuncture should be organically integrated into multidisciplinary management strategies.展开更多
Objectives:Short video addiction has emerged as a significant public health issue in recent years,with a growing trend toward severity.However,research on the causes and impacts of short video addiction remains limite...Objectives:Short video addiction has emerged as a significant public health issue in recent years,with a growing trend toward severity.However,research on the causes and impacts of short video addiction remains limited,and understanding of the variable“TikTok brain”is still in its infancy.Therefore,based on the Stimulus-Organism-Behavior-Consequence(SOBC)framework,we proposed six research hypotheses and constructed a model to explore the relationships between short video usage intensity,TikTok brain,short video addiction,and decreased attention control.Methods:Given that students are considered a high-risk group for excessive short video use,we collected 1086 valid participants from Chinese student users,including 609 males(56.1%)and 477 females(43.9%),with an average participant age of 19.84 years,to test the hypotheses.Results:(1)Short video usage intensity was positively related to short video addiction,TikTok brain,and decreased attention control;(2)TikTok brain was positively related to short video addiction and decreased attention control;and(3)Short video addiction was positively related to decreased attention control.Conclusions:These findings suggest that although excessive use of short video applications brings negative consequences,users still spend significant amounts of time on these platforms,indicating a need for strict self-regulation of usage time.展开更多
Persistent and maladaptive drug-related memories represent a key component in drug addiction.Converging evidence from both preclinical and clinical studies has demonstrated the potential efficacy of the memory reconso...Persistent and maladaptive drug-related memories represent a key component in drug addiction.Converging evidence from both preclinical and clinical studies has demonstrated the potential efficacy of the memory reconsolidation updating procedure(MRUP),a non-pharmacological strategy intertwining two distinct memory processes:reconsolidation and extinction—alternatively termed“the memory retrieval-extinction procedure”.This procedure presents a promising approach to attenuate,if not erase,entrenched drug memories and prevent relapse.The present review delineates the applications,molecular underpinnings,and operational boundaries of MRUP in the context of various forms of substance dependence.Furthermore,we critically examine the methodological limitations of MRUP,postulating potential refinement to optimize its therapeutic efficacy.In addition,we also look at the potential integration of MRUP and neurostimulation treatments in the domain of substance addiction.Overall,existing studies underscore the significant potential of MRUP,suggesting that interventions predicated on it could herald a promising avenue to enhance clinical outcomes in substance addiction therapy.展开更多
Addiction literacy equips older adults with the knowledge to navigate substance use risks amid unique challenges like polypharmacy and social isolation.With rising trends in cannabis use among this group,targeted educ...Addiction literacy equips older adults with the knowledge to navigate substance use risks amid unique challenges like polypharmacy and social isolation.With rising trends in cannabis use among this group,targeted education can promote safe practices and reduce preventable harms.By fostering open conversations and integrating addiction literacy into healthcare,providers can support informed decision-making.展开更多
Drug addiction, a disorder characterized by chronic relapse and compulsive drug use, poses a significant threat to public safety and human health. Addictive substances can be categorized as natural, semi-synthetic, or...Drug addiction, a disorder characterized by chronic relapse and compulsive drug use, poses a significant threat to public safety and human health. Addictive substances can be categorized as natural, semi-synthetic, or synthetic based on their origin. Additionally, they can be classified into three groups according to their pharmacological targets: opioids, hallucinogens, and cannabinoids that act on G-protein-coupled receptors (GPCRs);alcohols, nicotine, ketamine, barbiturates, and benzodiazepines (BDZs) that affect ligand-gated ion channel-type receptors;and psychostimulants that interact with monoamine transporters. Current treatments for drug addiction primarily include substitution therapy and non-pharmacological approaches. However, these methods have limitations, particularly in addressing the underlying causes of relapse. Several drugs in clinical trials have demonstrated potential therapeutic effects for addiction to opioids, heroin, cocaine, and other substances. This review examines the origins and pharmacological mechanisms of addiction to naturally-derived psychoactive substances (NPS) and provides an overview of recent advancements in pharmacotherapy for drug addiction.展开更多
Objective:Large-scale CRISPR screens have identified essential genes across cancer cell lines,but links between tumor functional properties and specific dependencies require investigation to reveal the mechanisms unde...Objective:Large-scale CRISPR screens have identified essential genes across cancer cell lines,but links between tumor functional properties and specific dependencies require investigation to reveal the mechanisms underlying dependencies and broaden understanding of targeted therapy.Methods:We selected 47 breast cancer cell lines from the Cancer Cell Line Encyclopedia(CCLE)with multi-omics data including gene dependency;somatic mutations;copy number alterations;and transcriptomic,proteomic,metabolomic,and methylation data.We established a dependency marker association(DMA)analytic pipeline by using linear regression modeling to assess associations between 3,874 representative gene dependencies and multi-omics markers.Additionally,we conducted non-negative matrix factorization clustering,to stratify breast cancer cell lines according to gene dependency features,and investigated cluster-specific DMAs.Results:We interpreted valuable DMAs according to two primary aspects.First,dependencies associated with gain-of-function alterations revealed addiction to lactate transporter SLC16A3,thus suggesting a promising therapeutic target.Second,dependencies associated with loss-of-function alterations included synthetic lethality(SL),collateral SL,and prioritized metabolic SL,encompassing paralog SL(e.g.,IMPDH1 and IMPDH2),single pathway SL(e.g.,GFPT1 and UAP1),and alternative pathway SL(e.g.,GPI and PGD).DMA analysis of the two clusters with divergent dependency signatures demonstrated that cluster1 cell lines exhibited extensive metabolism with mitochondrial protein dependencies,whereas cluster2 displays enhanced cell signaling,and reliance on DNA replication and membrane organelle regulators.Conclusions:We established a DMA analysis pipeline linking the gene dependencies of breast cancer cell lines to multi-omics characteristics,thus elucidating the underpinnings of tumor dependencies and offering a valuable resource for developing novel precision treatment strategies incorporating relevant markers.展开更多
Background Adolescents’subjective well-being(SWB)is strongly linked to mental health,academic achievement,social relationships,and quality of life,and is a key predictor of life outcomes in adulthood.Mental health an...Background Adolescents’subjective well-being(SWB)is strongly linked to mental health,academic achievement,social relationships,and quality of life,and is a key predictor of life outcomes in adulthood.Mental health and addictive behaviors are the two main factors influencing SWB.This study aimed to identify key mental health and addictive behavior factors associated with adolescent SWB through machine learning models.Methods The data for this study comes from the Health Behaviour in School-aged Children(HBSC)survey 2017/18.The study data contains health data from 60,450 adolescents aged 10–16 years.The study used the XGBoost machine learning model to analyze the impact of mental health and addictive behaviors on adolescent SWB.Gain was used to analyze the significance of the variables.The direction of action of the variables and the interaction between the variables were analyzed using the SHapley Additive exPlanations(SHAP)method.Results The model in this study has an accuracy of 86.7%and an AUC value of 0.85,showing its good predictive performance.Six key variables were filtered through Gain analysis.Feeling low and health as the two most important factors affecting SWB,with these two variables contributing 51.38%and 19.65%,respectively.Friends and thinking body as major factors influencing SWB in mental health.Smoking lifetime and sweets as major factors influencing SWB in addictive behaviors.The interactions and characteristic dependencies between these variables were further analyzed.The results showed that feeling low,friends,and sweets had a positive effect on SWB,while health and smoking lifetime showed a negative effect.In addition,a moderate thinking body contributes to SWB,whereas being too fat and too thin are both associated with decreased levels of SWB.Conclusion Mental health and addictive behavioral factors such as feeling low,friends,sweets,and smoking lifetime were significant factors influencing SWB.This provides a scientific basis for the development of public health policies and interventions aimed at enhancing adolescent well-being.展开更多
Abuse of amphetamine-based stimulants is a primary public health concern.Recent studies have underscored a troubling escalation in the inappropriate use of prescription amphetamine-based stimulants.However,the neuroph...Abuse of amphetamine-based stimulants is a primary public health concern.Recent studies have underscored a troubling escalation in the inappropriate use of prescription amphetamine-based stimulants.However,the neurophysiological mechanisms underlying the impact of acute methamphetamine exposure(AME)on sleep homeostasis remain to be explored.This study employed non-human primates and electroencephalogram(EEG)sleep staging to evaluate the influence of AME on neural oscillations.The primary focus was on alterations in spindles,delta oscillations,and slow oscillations(SOs)and their interactions as conduits through which AME influences sleep stability.AME predominantly diminishes sleep-spindle waves in the non-rapid eye movement 2(NREM2)stage,and impacts SOs and delta waves differentially.Furthermore,the competitive relationships between SO/delta waves nesting with sleep spindles were selectively strengthened by methamphetamine.Complexity analysis also revealed that the SO-nested spindles had lost their ability to maintain sleep depth and stability.In summary,this finding could be one of the intrinsic electrophysiological mechanisms by which AME disrupted sleep homeostasis.展开更多
BACKGROUND Internet gaming disorder(IGD)is a growing concern among adolescents and adults,necessitating effective treatment strategies beyond pharmacological interventions.AIM To evaluated the effectiveness of non-inv...BACKGROUND Internet gaming disorder(IGD)is a growing concern among adolescents and adults,necessitating effective treatment strategies beyond pharmacological interventions.AIM To evaluated the effectiveness of non-invasive interventions for treating IGD among adolescents and adults.METHODS A total of 11 randomized controlled trials published between 2020 and 2025 were included in this meta-analysis,encompassing 1208 participants from diverse geographic and cultural contexts.The interventions examined included cognitive behavioral therapy(CBT),internet-based CBT,neurofeedback,virtual reality therapy,abstinence-based programs,and school-based prevention.The primary outcomes assessed were reductions in gaming time and IGD severity.Secondary outcomes included improvements in mood,anxiety,and psychosocial functioning(e.g.,stronger peer relationships,better academic or work performance,and healthier daily-life role fulfillment).RESULTS The pooled standardized mean difference for IGD symptom reduction significantly favored non-invasive interventions(Hedges’g=0.56,95%CI:0.38-0.74,P<0.001),with moderate heterogeneity observed(I2=47%).Subgroup analyses indicated that CBT-based programs,both in-person and online,yielded the strongest effects,particularly when caregiver involvement or self-monitoring was incorporated.Funnel plot asymmetry was minimal,suggesting a low risk of publication bias.CONCLUSION These findings support the efficacy of scalable,low-risk non-invasive interventions as first-line treatment options for IGD,particularly in youth populations.Future studies should prioritize investigating long-term outcomes,comparing the effectiveness of different non-invasive modalities,and developing culturally adaptive delivery methods.展开更多
This study examined how social desirability responses confound the relationship between gender and social media addiction.A total of 496 college student social media users(females=310,62.5%,mean age=20.15,SD=1.26)comp...This study examined how social desirability responses confound the relationship between gender and social media addiction.A total of 496 college student social media users(females=310,62.5%,mean age=20.15,SD=1.26)completed an online questionnaire on Social Media Addiction and Social Desirability.Mediation analysis revealed that females were at higher risk for social media addiction.On the other hand,the indirect effect of gender on social media addiction via social desirability is associated with lower social media addiction,which suggests that social desirability had a suppression effect on social media addiction associated with gender.ANOVA results showed that females reported higher social media addiction scores than males in the low social desirability group;in the high group,gender differences were insignificant.This study’s unique contribution is to suggest that females are at higher risk than males for developing addictive social media behaviors.Based on this finding,student social media safety interventions should be gender sensitive to the social desirability effect on females who may hide their true addiction as a result.展开更多
Background:Live streaming has become a globally prevalent form of digital entertainment,particularly among young audiences,fostering new modes of online engagement through real-time interaction.However,excessive use m...Background:Live streaming has become a globally prevalent form of digital entertainment,particularly among young audiences,fostering new modes of online engagement through real-time interaction.However,excessive use may lead to addictive behaviors in certain users.Current research on live-streaming addiction remains limited,with prior studies focusing primarily on socio-psychological drivers rather than the role of technological affordances.To address this gap,this study develops a conceptual model based on socio-technical systems and attachment theory to investigate how emotional and functional attachment mediate the relationship between platform features and addictive behavior.Methods:A total of 533 valid responses were collected in a cross-sectional survey(mean age=26.4 years,standard deviation[SD]=4.7;53.8%female).Data were analyzed using structural equation modeling(SEM)to test the hypothesized relationships.Additionally,the potential mediating effects of emotional and functional attachment between the platform features and live-streaming addiction were examined using the Bootstrap method.Results:Social factors(perceived interactivity,β=0.204,p<0.001;perceived confirmation,β=0.379,p<0.001)and technical factors(perceived customization,β=0.227,p<0.001;perceived amusement,β=0.252,p<0.001;vicarious expression,β=0.352,p<0.001)significantly strengthen both emotional and functional attachment,which in turn positively predict live-streaming addiction(emotional attachment:β=0.468,p<0.001;functional attachment:β=0.393,p<0.001).Furthermore,emotional attachment exerted a stronger influence on addiction than functional attachment.Conclusions:These findings deepen the understanding of live-streaming addiction by integrating socio-technical perspectives and offer practical implications for stakeholders to mitigate negative outcomes through effective strategies.展开更多
Objectives:Problematic use of the internet(PUI)has been increasingly associated with various mental health issues,highlighting the need for accurate assessment tools.The Assessment of Criteria for Specific Internet-us...Objectives:Problematic use of the internet(PUI)has been increasingly associated with various mental health issues,highlighting the need for accurate assessment tools.The Assessment of Criteria for Specific Internet-use Disorder(ACSID-11)is a validated psychometric instrument designed to measure distinct forms of PUI across multiple online activities.However,its applicability and validity have not yet been established within the Indonesian context.Therefore,this study aimed to translate and validate the ACSID-11 for use among Indonesian populations.Methods:The translation procedure of the ACSID-11 involved forward translation,back translation,and expert panel discussions.This research involved 600 undergraduate and post-graduate students from universities in Indonesia(mean[SD]age=21.60[2.74]years;409[68%]females).Cronbach’s Alpha(α)and McDonald’s Omega(ω)were used to measure the internal consistency of the ACSID-11.Confirmatory factor analysis(CFA)was used in testing the construct validity of the ACSID-11.Results:The ACSID-11 demonstrated validity and reliability in assessing different types of PUI in the present Indonesian sample(α=0.67–0.96;ω=0.68–0.96).The CFA results supported a four-factor structure for the Indonesian version of the ACSID-11.Conclusion:The findings suggest that the Indonesian version of the ACSID-11 is a valid and reliable tool for assessing specific forms of PUI among Indonesian students.Future research and clinical applications are encouraged to utilize the ACSID-11 for early identification,intervention,and prevention strategies targeting PUI within this population.展开更多
BACKGROUND Excessive video game use,recognized as internet gaming disorder in Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition and Gaming Disorder in International Classification of Diseases,11th Re...BACKGROUND Excessive video game use,recognized as internet gaming disorder in Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition and Gaming Disorder in International Classification of Diseases,11th Revision,has raised concerns regarding its effects on individuals’social well-being.AIM To analyze the association between internet gaming disorder and social interaction across Western and Asian populations.METHODS The review examined 14 observational studies published between 2000 and 2025.It assessed the frequency and quality of face-to-face interactions,the shift towards online socialization,and the methodological quality of the included studies.RESULTS The findings generally indicate that gaming addiction is associated with a decrease in the frequency of offline social interaction.Addicted gamers reported spending less time with family and friends and experiencing increased isolation.Furthermore,the quality of social relationships appeared poorer,with addicted gamers reporting higher levels of loneliness,lower social support,and decreased relationship satisfaction.While online social interactions increased,they did not fully compensate for the loss of real-world connections.CONCLUSION This review highlights the potential of gaming addiction to negatively impact overall social lives,emphasizing the necessity for interventions focused on promoting real-world social engagement.展开更多
Background:As the digital age progresses,fear of missing out(FoMO)is becoming increasingly common,and the impact factor of FOMO needs to be further investigated.This study aims to explore the relationship between psyc...Background:As the digital age progresses,fear of missing out(FoMO)is becoming increasingly common,and the impact factor of FOMO needs to be further investigated.This study aims to explore the relationship between psychological security(PS)and FoMO by analyzing the mediating role of social networking addiction(SNA)and the moderating role of social self-efficacy(SSE).Methods:We collected a sample of 1181 college students(with a mean age of 19.671.38 years)from five universities in a province of China's Mainland through cluster sampling.Data±were gathered using the psychological security questionnaire(PSQ),the FoMO scale,the SNA scale,and the perceived social self-efficacy(PSSE)scale.Data analysis employed independent-sample t-tests,one-way analysis of variance(ANOVA),Harman’s single-factor test,confirmatory factor analysis,and moderated mediation analysis.Results:The results of the mediation model and moderated mediation model analyses showed the following key findings:(1)PS is significantly negatively correlated with FoMO;(2)SNA mediates the relationship between PS and FoMO;(3)SSE positively moderates the relationship between PS and FoMO;and(4)SSE also positively moderates the relationship between PS and SNA.Conclusion:University students’PS not only directly impacts FoMO but also indirectly influences it through SNA.Additionally,SSE positively moderates both the direct path and the first half of the mediation path,indicating that enhancing students’PS and SSE can help alleviate their SNA and FoMO,promoting their psychological and behavioral well-being.展开更多
Background:Social media addiction,one of the behavioural addictions,is a significant predictor of job performance.It has also been posited that individuals whose fundamental requirements(e.g.,sleep)are not sufficientl...Background:Social media addiction,one of the behavioural addictions,is a significant predictor of job performance.It has also been posited that individuals whose fundamental requirements(e.g.,sleep)are not sufficiently met andwho lack adequate support(e.g.,perceived social support)are incapable of effectivelyharnessing theirpotential.The primary objective of this study is to examine themediating effects of sleep disorder and perceived social support on the relationship between social media addiction and job performance.Furthermore,it seeks to explore the moderating effects of perceived social support on sleep disorders and job performance.Methods:The data were collected through the questionnairemethod,and data analysis was performed using SPSS 26.0.Moreover,statistical analysis encompasses correlation analysis,mediation,and moderation analysis.The data were gathered from 488 healthcare professionals(57.2%female),whose ages ranged from 24 to 56 years(Meanage±SD=37.86±6.71),using a convenience sample approach.Results:The results revealed significant relationships between social media addiction,job performance,perceived social support,and sleep disorder.The findings indicate that social media addiction negatively predicts job performance(β=−0.11,p<0.05).Sleep disorder(effect size=−0.02,95%CI=[−0.04,−0.00])and perceived social support(effect size=−0.01,95%CI=[−0.02,−0.00])mediate this relationship.Furthermore,perceived social supportmoderates the pathway between sleep disorder and job performance(index ofmoderatedmediation:−0.0040,95%CI=[−0.0070,−0.0010]).Conclusions:This study suggests that social media addiction negatively affects job performance through sleep disorders and perceived social support among healthcare professionals.The study’s findings are significant,as they suggest that treatments aimed at alleviating sleep disorders and enhancing perceived social support among medical workers may improve their job performance.展开更多
基金supported by grants from The National Natural Science Foundation of China(82472611)The“14th Five Year Plan”Scientific Research and Innovation Team of Chengdu Sport University(23CXTD02)Sports Medicine Key Laboratory of Sichuan Province/Key Laboratory of Sports Medicine,General Administration of Sport of China(2025-A028)。
文摘Methamphetamine(METH)addiction is a severe and increasingly prevalent neuropsychiatric disorder for which current diagnostic and therapeutic approaches remain limited and predominantly symptom-oriented.Exercise,as a safe,accessible and cost-effective non-pharmacological intervention,has emerged as a promising strategy to ameliorate METH-induced neurotoxicity and addiction-related behaviors.Growing evidence indicates that these benefits are closely linked to the regulation of exercise-induced biomarkers,defined as molecular indicators whose expression or activity is dynamically altered during or after physical activity.This review focuses on the core regulatory role of exercise-induced biomarkers in METH addiction and systematically summarizes their involvement in key neurobiological pathways,outlining molecular pathological mechanisms such as dysregulation of dopamine,glutamate and GABA neurotransmitter systems,neuroinflammation and oxidative stress,and epigenetic remodeling,and emphasizing how these processes converge on changes in candidate biomarkers in the brain and periphery.On this basis,the review describes how exercise modulates neural plasticity,neurotransmitter systems,inflammation and oxidative stress through biomarkers such as brain-derived neurotrophic factor(BDNF),exerkines,inflammatory cytokines,metabolites and noncoding RNAs,with particular attention to neurotrophic and immune-related markers,microRNAs and other epigenetic regulators that can reverse METH-induced synaptic and structural abnormalities and promote recovery of cognitive and emotional functions.Advances in high-throughput omics technologies,including transcriptomics,metabolomics and multi-omics integration,are summarized to illustrate the screening and identification of key exercise-responsive biomarkers.Studies in METH-addicted animal models have revealed differentially expressed genes,signaling pathways(e.g.,PI3K-Akt,mTOR,Wnt)and core nodes such as NFKBIA and CXCL12 that may mediate the protective effects of exercise.The review further discusses the potential of exercisemediated biomarkers as objective indicators for diagnosis,dynamic monitoring of therapeutic efficacy and patient stratification.Multi-gene diagnostic models based on peripheral samples(e.g.,hair follicles,blood)demonstrate how biomarker panels can distinguish non-recovered,almost-recovered and healthy individuals,providing a molecular basis for staging METH use disorder and evaluating the impact of exercise interventions.The temporal dynamics of biomarker changes before and after exercise are highlighted,underscoring the value of longitudinal monitoring of factors such as BDNF,immune-related genes and circulating microRNAs to capture treatment-relevant windows of plasticity.In addition,the underlying molecular basis of exercise as an adjunct therapy and gene-targeted exercise strategies that leverage individual biomarker and gene expression profiles to optimize exercise prescriptions are summarized.Current conceptual and technical challenges are outlined,including heterogeneity of biomarker responses,individual variability,assay sensitivity and specificity,and gaps between preclinical findings and clinical application,together with future directions for integrating exercise with multi-omics,artificial intelligence-assisted biomarker discovery and,prospectively,gene-editing-based interventions.Particular emphasis is placed on the need to standardize exercise protocols,incorporate stage-specific and sex-sensitive designs,and combine exercise with pharmacotherapy and psychosocial rehabilitation in real-world clinical settings across diverse healthcare systems.Overall,this review aims to provide a comprehensive and integrated mechanistic framework and updated theoretical support for the application of exercise-mediated biomarkers in the diagnosis,therapeutic effect monitoring and personalized intervention of METH addiction,and to offer new and clinically relevant insights into the development of precision medicine strategies for substance use disorders.
基金supported by the National Natural Science Foundation of China(Grant No.72364006).
文摘Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims to validate the 21-item SocialNetwork Addiction Scale-Chinese(SNAS-C)in its Chinese version and to determine its optimal cutoff score for identifying potential SNA cases within the college student population.Methods:A crosssectional survey was conducted,recruiting 3387 college students.Latent profile analysis(LPA)and receiver operating characteristic(ROC)curve analysis were employed to establish the optimal cutoff score for the validated 21-item SNAS-C.Results:Three profile models were selected based on multiple statistical criteria,classifying participants into low-risk,moderate-risk,and high-risk groups.The highest-risk group was defined as“positive”for SNA,while the remaining groups were considered“negative”,serving as the reference standard for ROC analysis.The optimal cutoff score was determined to be 72(sensitivity:98.2%,specificity:96.86%),with an overall classification accuracy of 97.0%.The“positive”group reported significantly higher frequency of social network usage,greater digitalmedia dependence scores,and a higher incidence of network addiction.Conclusion:This study identified the optimal cutoff score for the SNAS-C as≥72,demonstrating high sensitivity,specificity,and diagnostic accuracy.This threshold effectively distinguishes between high-risk and low-risk SNA.
基金supported by the First-Class Education Discipline Development of Beijing Normal University(Grant Numbers:YLXKPY-XSDW202408,YLXKPY-ZYSB202201).
文摘Objectives:The addiction of the student population to short-form video platforms such as TikTok(Douyin)is becoming increasingly apparent and is rapidly expanding.This emerging addiction is also believed to have negative impacts on students’academic,social,and emotional well-being.Consequently,video addiction has become an important public health issue on campuses around the world.Therefore,this study aimed to investigate the relationship between two types of TikTok addiction(video and live streaming)and social and emotional learning(SEL),including self-awareness,self-management,social awareness,relationship skills,and responsible decision-making.Methods:Previous research has indicated that some students at vocational colleges become addicted to short-form videos.Accordingly,this study employed a snowball sampling method to survey students at vocational institutions across China.A total of 563 valid responses were obtained,yielding an effective response rate of 84.66%.The mean age of participants was 20.20 years old(SD=1.36).Data were validated with structural equation modeling.Results:Results showed that both video content addiction and live-streaming content addiction negatively correlatedwith all five dimensions of SEL.This also represents that all 10 hypotheses are valid and significant at p<0.001.Theeffect sizes ranged from 0.48 to 0.54,which represents larger effect sizes.Notably,TikTok addiction showed the strongest explanatory power for self-awareness.This indicates that higher levels of addiction to either video or live-streaming content are associatedwith poorer performance across all facets of social and emotional learning,including self-awareness,emotion regulation,interpersonal relationships,sense of responsibility,and empathy.Conclusion:This study found that TikTok addicts entered a state of ego depletion due to impaired self-regulation.This depletion then caused their subsequent self-control efforts during learning to fail.Our results also support the ego depletion theory,which posits that engaging in self-regulatory behaviors consumes limited self-control resources and can trigger a range of complex cognitive,emotional,and behavioral problems.This result also draws attention to the negative consequences of excessive use of short videos for social awareness and emotional performance.
基金Supported by National Natural Science Foundation of China,No.81973620Wenzhou Municipal Science and Technology Bureau,No.Y20220091.
文摘BACKGROUND The prevalence of addiction makes it a significant public health issue.Recently,transcranial magnetic stimulation(TMS)has garnered significant attention as a promising treatment for addiction.AIM To analyze development trends and research hotspots in TMS-based addiction treatment using a bibliometric approach.METHODS Articles on TMS-based addiction treatment from 2001 to 2023 were sourced from the Science Citation Index Expanded in the Web of Science Core Collection.CiteSpace software,VOSviewer,the"bibliometrix"R software package,and the bibliometric online analysis platform were used to analyze the current publication trends and hotspots.RESULTS Total 190 articles on TMS-based addiction treatment were identified,with clinical studies being the most prevalent.The United States led in both publication volume and international collaborations.Medical University of South Carolina and Zangen A were the most productive institution and author,respectively.Neurobiology,alcohol use disorder,and repetitive TMS were the most recent research hotspots.CONCLUSION Future research should focus on the neurobiological mechanisms underlying TMS-based addiction treatment.This study offers comprehensive insights and recommendations for advancing research on TMS-based addiction treatment.
基金partially supported by the National Institutes of Health(NIH)grants DA056213(to Alexander K.Zinsmaier),DA053388(to Eric J.Nestler),DA023206(to Yan Dong),DA060868(to Yan Dong),and DA040620(to Eric J.Nestler and Yan Dong)。
文摘Understanding the cellular mechanisms of drug addiction remains a key task in current brain research.While neuron-based mechanisms have been extensively explored over the past three decades,recent evidence indicates a critical involvement of astrocytes,the main type of non-neuronal cells in the brain.In response to extracellular stimuli,astrocytes modulate the activity of neurons,synaptic transmission,and neural network properties,collectively influencing brain function.G protein-coupled receptors(GPCRs)expressed on astrocyte surfaces respond to neuron-and environment-derived ligands by activating or inhibiting astrocytic signaling,which in turn regulates adjacent neurons and their circuitry.In this review,we focus on the dopamine D1 receptors(D1R)and metabotropic glutamate receptor 5(mGLUR5 or GRM5)—two GPCRs that have been critically implicated in the acquisition and maintenance of addiction-related behaviors.Positioned as an introductory-level review,this article briefly discusses astrocyte biology,outlines earlier discoveries about the role of astrocytes in substance-use disorders(SUDs),and provides detailed discussion about astrocytic D1Rs and mGLUR5s in regulating synapse and network functions in the nucleus accumbens(NAc)—a brain region that mediates addictionrelated emotional and motivational responses.This review serves as a stepping stone for readers of Engineering to explore links between astrocytic GPCRs and drug addiction and other psychiatric disorders.
基金Supported by National Natural Science Foundation of China:82405556,82174527the National Traditional Chinese Medicine Advantage Specialized Department Construction Project:Yue TCM[2024]No.2+4 种基金the China Postdoctoral Science Foundation General Project:2024M750464Guangdong Basic and Applied Basic Research Foundation:2023A1515110682Jin-Xiong Lao Guangdong Provincial Famous Chinese Medicine Practitioner Heritage Studio:Yue TCM Office Document[2023]No.108Jin-Xiong Lao Foshan City Famous Chinese Medicine Practitioner Heritage Studio:Foshan Health Office Document[2022]No.106Foshan City's 14th 5-Year Plan Chinese Medicine Key Specialized Construction Projects:Foshan Health Office Document[2020]No.15。
文摘Overeating is a risk factor and a management challenge in adiposity-based chronic disease(ABCD).Acupuncture has shown high safety and reliable clinical evidence in addressing overeating,and it is the promising potential non-pharmacological intervention.However,the mechanism underlying its effects has not been sufficiently summarized.The addiction model offers a framework to elucidate the mechanism of this aberrant eating behavior and provides novel perspectives and breakthrough points for optimizing clinical acupuncture strategies in ABCD management.In the paper,through analyzing domestic and in-ternational relevant findings,the characteristics of overeating based on food addiction,the relationship between overeating and ABCD,and the potential effect mechanisms of acupuncture for FA have been re-viewed and summarized.Including adaptive balance of transmitters and hormones,functional networks,periphery-central connection,and cross-system interaction.In future studies,the maturely-developed ad-diction research methods should be adopted to deepen the exploration on the mechanism of acupuncture effect,addiction medicine should be leveraged to shatter the cognitive barriers surrounding acupuncture’s role in mind-body regulation for ABCD treatment,and the prevention and treatment of overeating via acupuncture should be organically integrated into multidisciplinary management strategies.
基金supported by the International Joint Research Project of Huiyan International College,Faculty of Education,Beijing Normal University(Grant Number:ICER202102).
文摘Objectives:Short video addiction has emerged as a significant public health issue in recent years,with a growing trend toward severity.However,research on the causes and impacts of short video addiction remains limited,and understanding of the variable“TikTok brain”is still in its infancy.Therefore,based on the Stimulus-Organism-Behavior-Consequence(SOBC)framework,we proposed six research hypotheses and constructed a model to explore the relationships between short video usage intensity,TikTok brain,short video addiction,and decreased attention control.Methods:Given that students are considered a high-risk group for excessive short video use,we collected 1086 valid participants from Chinese student users,including 609 males(56.1%)and 477 females(43.9%),with an average participant age of 19.84 years,to test the hypotheses.Results:(1)Short video usage intensity was positively related to short video addiction,TikTok brain,and decreased attention control;(2)TikTok brain was positively related to short video addiction and decreased attention control;and(3)Short video addiction was positively related to decreased attention control.Conclusions:These findings suggest that although excessive use of short video applications brings negative consequences,users still spend significant amounts of time on these platforms,indicating a need for strict self-regulation of usage time.
基金supported by the National Natural Science Foundation of China(82071498,81871046,and 32161143022)STI2030-Major Projects(2022ZD0214500).
文摘Persistent and maladaptive drug-related memories represent a key component in drug addiction.Converging evidence from both preclinical and clinical studies has demonstrated the potential efficacy of the memory reconsolidation updating procedure(MRUP),a non-pharmacological strategy intertwining two distinct memory processes:reconsolidation and extinction—alternatively termed“the memory retrieval-extinction procedure”.This procedure presents a promising approach to attenuate,if not erase,entrenched drug memories and prevent relapse.The present review delineates the applications,molecular underpinnings,and operational boundaries of MRUP in the context of various forms of substance dependence.Furthermore,we critically examine the methodological limitations of MRUP,postulating potential refinement to optimize its therapeutic efficacy.In addition,we also look at the potential integration of MRUP and neurostimulation treatments in the domain of substance addiction.Overall,existing studies underscore the significant potential of MRUP,suggesting that interventions predicated on it could herald a promising avenue to enhance clinical outcomes in substance addiction therapy.
基金Supported by FAPESP and Conselho Nacional de Desenvolvimento Cientifico e Tecnologico,No.2024/13209-0.
文摘Addiction literacy equips older adults with the knowledge to navigate substance use risks amid unique challenges like polypharmacy and social isolation.With rising trends in cannabis use among this group,targeted education can promote safe practices and reduce preventable harms.By fostering open conversations and integrating addiction literacy into healthcare,providers can support informed decision-making.
基金supported by the National Natural Science Foundation of China(No.82373836).
文摘Drug addiction, a disorder characterized by chronic relapse and compulsive drug use, poses a significant threat to public safety and human health. Addictive substances can be categorized as natural, semi-synthetic, or synthetic based on their origin. Additionally, they can be classified into three groups according to their pharmacological targets: opioids, hallucinogens, and cannabinoids that act on G-protein-coupled receptors (GPCRs);alcohols, nicotine, ketamine, barbiturates, and benzodiazepines (BDZs) that affect ligand-gated ion channel-type receptors;and psychostimulants that interact with monoamine transporters. Current treatments for drug addiction primarily include substitution therapy and non-pharmacological approaches. However, these methods have limitations, particularly in addressing the underlying causes of relapse. Several drugs in clinical trials have demonstrated potential therapeutic effects for addiction to opioids, heroin, cocaine, and other substances. This review examines the origins and pharmacological mechanisms of addiction to naturally-derived psychoactive substances (NPS) and provides an overview of recent advancements in pharmacotherapy for drug addiction.
基金supported by grants from the National Key Research and Development Project of China(Grant No.2020YFA0112304)the National Natural Science Foundation of China(Grant Nos.91959207 and 82202883).
文摘Objective:Large-scale CRISPR screens have identified essential genes across cancer cell lines,but links between tumor functional properties and specific dependencies require investigation to reveal the mechanisms underlying dependencies and broaden understanding of targeted therapy.Methods:We selected 47 breast cancer cell lines from the Cancer Cell Line Encyclopedia(CCLE)with multi-omics data including gene dependency;somatic mutations;copy number alterations;and transcriptomic,proteomic,metabolomic,and methylation data.We established a dependency marker association(DMA)analytic pipeline by using linear regression modeling to assess associations between 3,874 representative gene dependencies and multi-omics markers.Additionally,we conducted non-negative matrix factorization clustering,to stratify breast cancer cell lines according to gene dependency features,and investigated cluster-specific DMAs.Results:We interpreted valuable DMAs according to two primary aspects.First,dependencies associated with gain-of-function alterations revealed addiction to lactate transporter SLC16A3,thus suggesting a promising therapeutic target.Second,dependencies associated with loss-of-function alterations included synthetic lethality(SL),collateral SL,and prioritized metabolic SL,encompassing paralog SL(e.g.,IMPDH1 and IMPDH2),single pathway SL(e.g.,GFPT1 and UAP1),and alternative pathway SL(e.g.,GPI and PGD).DMA analysis of the two clusters with divergent dependency signatures demonstrated that cluster1 cell lines exhibited extensive metabolism with mitochondrial protein dependencies,whereas cluster2 displays enhanced cell signaling,and reliance on DNA replication and membrane organelle regulators.Conclusions:We established a DMA analysis pipeline linking the gene dependencies of breast cancer cell lines to multi-omics characteristics,thus elucidating the underpinnings of tumor dependencies and offering a valuable resource for developing novel precision treatment strategies incorporating relevant markers.
基金funded by the National Social Science Fund of China(GrantNo.24CTJ019).
文摘Background Adolescents’subjective well-being(SWB)is strongly linked to mental health,academic achievement,social relationships,and quality of life,and is a key predictor of life outcomes in adulthood.Mental health and addictive behaviors are the two main factors influencing SWB.This study aimed to identify key mental health and addictive behavior factors associated with adolescent SWB through machine learning models.Methods The data for this study comes from the Health Behaviour in School-aged Children(HBSC)survey 2017/18.The study data contains health data from 60,450 adolescents aged 10–16 years.The study used the XGBoost machine learning model to analyze the impact of mental health and addictive behaviors on adolescent SWB.Gain was used to analyze the significance of the variables.The direction of action of the variables and the interaction between the variables were analyzed using the SHapley Additive exPlanations(SHAP)method.Results The model in this study has an accuracy of 86.7%and an AUC value of 0.85,showing its good predictive performance.Six key variables were filtered through Gain analysis.Feeling low and health as the two most important factors affecting SWB,with these two variables contributing 51.38%and 19.65%,respectively.Friends and thinking body as major factors influencing SWB in mental health.Smoking lifetime and sweets as major factors influencing SWB in addictive behaviors.The interactions and characteristic dependencies between these variables were further analyzed.The results showed that feeling low,friends,and sweets had a positive effect on SWB,while health and smoking lifetime showed a negative effect.In addition,a moderate thinking body contributes to SWB,whereas being too fat and too thin are both associated with decreased levels of SWB.Conclusion Mental health and addictive behavioral factors such as feeling low,friends,sweets,and smoking lifetime were significant factors influencing SWB.This provides a scientific basis for the development of public health policies and interventions aimed at enhancing adolescent well-being.
基金supported by the National Natural Science Foundation of China(No.82271515)the SJTU Trans-Med Awards Research(No.2019015)+4 种基金the Scientific and Technological Innovation Action Plan of Shanghai(No.KY20211478)the Shanghai Municipal Science and Technology Major Project(No.2021SHZDZX)the Nursing Development Program of Shanghai Jiao Tong University School of Medicine(No.SJTUHLXK2022)the 2024 Shanghai Ruijin Hospital Nursing Research Fund(No.RJHK-2024-001)the Shanghai Nursing Association Funding(No.2024MS-B13),China。
文摘Abuse of amphetamine-based stimulants is a primary public health concern.Recent studies have underscored a troubling escalation in the inappropriate use of prescription amphetamine-based stimulants.However,the neurophysiological mechanisms underlying the impact of acute methamphetamine exposure(AME)on sleep homeostasis remain to be explored.This study employed non-human primates and electroencephalogram(EEG)sleep staging to evaluate the influence of AME on neural oscillations.The primary focus was on alterations in spindles,delta oscillations,and slow oscillations(SOs)and their interactions as conduits through which AME influences sleep stability.AME predominantly diminishes sleep-spindle waves in the non-rapid eye movement 2(NREM2)stage,and impacts SOs and delta waves differentially.Furthermore,the competitive relationships between SO/delta waves nesting with sleep spindles were selectively strengthened by methamphetamine.Complexity analysis also revealed that the SO-nested spindles had lost their ability to maintain sleep depth and stability.In summary,this finding could be one of the intrinsic electrophysiological mechanisms by which AME disrupted sleep homeostasis.
基金Supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)Funded by the Ministry of Education,No.NRF-RS-2023-00237287.
文摘BACKGROUND Internet gaming disorder(IGD)is a growing concern among adolescents and adults,necessitating effective treatment strategies beyond pharmacological interventions.AIM To evaluated the effectiveness of non-invasive interventions for treating IGD among adolescents and adults.METHODS A total of 11 randomized controlled trials published between 2020 and 2025 were included in this meta-analysis,encompassing 1208 participants from diverse geographic and cultural contexts.The interventions examined included cognitive behavioral therapy(CBT),internet-based CBT,neurofeedback,virtual reality therapy,abstinence-based programs,and school-based prevention.The primary outcomes assessed were reductions in gaming time and IGD severity.Secondary outcomes included improvements in mood,anxiety,and psychosocial functioning(e.g.,stronger peer relationships,better academic or work performance,and healthier daily-life role fulfillment).RESULTS The pooled standardized mean difference for IGD symptom reduction significantly favored non-invasive interventions(Hedges’g=0.56,95%CI:0.38-0.74,P<0.001),with moderate heterogeneity observed(I2=47%).Subgroup analyses indicated that CBT-based programs,both in-person and online,yielded the strongest effects,particularly when caregiver involvement or self-monitoring was incorporated.Funnel plot asymmetry was minimal,suggesting a low risk of publication bias.CONCLUSION These findings support the efficacy of scalable,low-risk non-invasive interventions as first-line treatment options for IGD,particularly in youth populations.Future studies should prioritize investigating long-term outcomes,comparing the effectiveness of different non-invasive modalities,and developing culturally adaptive delivery methods.
基金supported by the Guangdong Education Science Planning Project(2024GXJK612).
文摘This study examined how social desirability responses confound the relationship between gender and social media addiction.A total of 496 college student social media users(females=310,62.5%,mean age=20.15,SD=1.26)completed an online questionnaire on Social Media Addiction and Social Desirability.Mediation analysis revealed that females were at higher risk for social media addiction.On the other hand,the indirect effect of gender on social media addiction via social desirability is associated with lower social media addiction,which suggests that social desirability had a suppression effect on social media addiction associated with gender.ANOVA results showed that females reported higher social media addiction scores than males in the low social desirability group;in the high group,gender differences were insignificant.This study’s unique contribution is to suggest that females are at higher risk than males for developing addictive social media behaviors.Based on this finding,student social media safety interventions should be gender sensitive to the social desirability effect on females who may hide their true addiction as a result.
基金funded by the Social Science Major Project of Tianjin Municipal Education Commission(Grant No.2025JWZD-GJ26).
文摘Background:Live streaming has become a globally prevalent form of digital entertainment,particularly among young audiences,fostering new modes of online engagement through real-time interaction.However,excessive use may lead to addictive behaviors in certain users.Current research on live-streaming addiction remains limited,with prior studies focusing primarily on socio-psychological drivers rather than the role of technological affordances.To address this gap,this study develops a conceptual model based on socio-technical systems and attachment theory to investigate how emotional and functional attachment mediate the relationship between platform features and addictive behavior.Methods:A total of 533 valid responses were collected in a cross-sectional survey(mean age=26.4 years,standard deviation[SD]=4.7;53.8%female).Data were analyzed using structural equation modeling(SEM)to test the hypothesized relationships.Additionally,the potential mediating effects of emotional and functional attachment between the platform features and live-streaming addiction were examined using the Bootstrap method.Results:Social factors(perceived interactivity,β=0.204,p<0.001;perceived confirmation,β=0.379,p<0.001)and technical factors(perceived customization,β=0.227,p<0.001;perceived amusement,β=0.252,p<0.001;vicarious expression,β=0.352,p<0.001)significantly strengthen both emotional and functional attachment,which in turn positively predict live-streaming addiction(emotional attachment:β=0.468,p<0.001;functional attachment:β=0.393,p<0.001).Furthermore,emotional attachment exerted a stronger influence on addiction than functional attachment.Conclusions:These findings deepen the understanding of live-streaming addiction by integrating socio-technical perspectives and offer practical implications for stakeholders to mitigate negative outcomes through effective strategies.
基金support from Universitas Airlangga,in part by Higher Education Sprout Project,Ministry of Education to the Headquarters of University Advancement at National Cheng Kung University(NCKU),and by the National Science and Technology Council,Taiwan(NSTC 112-2410-H-006-089-SS2).
文摘Objectives:Problematic use of the internet(PUI)has been increasingly associated with various mental health issues,highlighting the need for accurate assessment tools.The Assessment of Criteria for Specific Internet-use Disorder(ACSID-11)is a validated psychometric instrument designed to measure distinct forms of PUI across multiple online activities.However,its applicability and validity have not yet been established within the Indonesian context.Therefore,this study aimed to translate and validate the ACSID-11 for use among Indonesian populations.Methods:The translation procedure of the ACSID-11 involved forward translation,back translation,and expert panel discussions.This research involved 600 undergraduate and post-graduate students from universities in Indonesia(mean[SD]age=21.60[2.74]years;409[68%]females).Cronbach’s Alpha(α)and McDonald’s Omega(ω)were used to measure the internal consistency of the ACSID-11.Confirmatory factor analysis(CFA)was used in testing the construct validity of the ACSID-11.Results:The ACSID-11 demonstrated validity and reliability in assessing different types of PUI in the present Indonesian sample(α=0.67–0.96;ω=0.68–0.96).The CFA results supported a four-factor structure for the Indonesian version of the ACSID-11.Conclusion:The findings suggest that the Indonesian version of the ACSID-11 is a valid and reliable tool for assessing specific forms of PUI among Indonesian students.Future research and clinical applications are encouraged to utilize the ACSID-11 for early identification,intervention,and prevention strategies targeting PUI within this population.
基金Supported by the Basic Science Research Program through the National Research Foundation of Korea Funded by the Ministry of Education,No.NRF-RS-2023-00237287。
文摘BACKGROUND Excessive video game use,recognized as internet gaming disorder in Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition and Gaming Disorder in International Classification of Diseases,11th Revision,has raised concerns regarding its effects on individuals’social well-being.AIM To analyze the association between internet gaming disorder and social interaction across Western and Asian populations.METHODS The review examined 14 observational studies published between 2000 and 2025.It assessed the frequency and quality of face-to-face interactions,the shift towards online socialization,and the methodological quality of the included studies.RESULTS The findings generally indicate that gaming addiction is associated with a decrease in the frequency of offline social interaction.Addicted gamers reported spending less time with family and friends and experiencing increased isolation.Furthermore,the quality of social relationships appeared poorer,with addicted gamers reporting higher levels of loneliness,lower social support,and decreased relationship satisfaction.While online social interactions increased,they did not fully compensate for the loss of real-world connections.CONCLUSION This review highlights the potential of gaming addiction to negatively impact overall social lives,emphasizing the necessity for interventions focused on promoting real-world social engagement.
基金supported by the Jiangxi Province Think Tank Research Project(ZK202406)the 2023 Jiangxi Provincial Health Commission Research Project(52524010)。
文摘Background:As the digital age progresses,fear of missing out(FoMO)is becoming increasingly common,and the impact factor of FOMO needs to be further investigated.This study aims to explore the relationship between psychological security(PS)and FoMO by analyzing the mediating role of social networking addiction(SNA)and the moderating role of social self-efficacy(SSE).Methods:We collected a sample of 1181 college students(with a mean age of 19.671.38 years)from five universities in a province of China's Mainland through cluster sampling.Data±were gathered using the psychological security questionnaire(PSQ),the FoMO scale,the SNA scale,and the perceived social self-efficacy(PSSE)scale.Data analysis employed independent-sample t-tests,one-way analysis of variance(ANOVA),Harman’s single-factor test,confirmatory factor analysis,and moderated mediation analysis.Results:The results of the mediation model and moderated mediation model analyses showed the following key findings:(1)PS is significantly negatively correlated with FoMO;(2)SNA mediates the relationship between PS and FoMO;(3)SSE positively moderates the relationship between PS and FoMO;and(4)SSE also positively moderates the relationship between PS and SNA.Conclusion:University students’PS not only directly impacts FoMO but also indirectly influences it through SNA.Additionally,SSE positively moderates both the direct path and the first half of the mediation path,indicating that enhancing students’PS and SSE can help alleviate their SNA and FoMO,promoting their psychological and behavioral well-being.
文摘Background:Social media addiction,one of the behavioural addictions,is a significant predictor of job performance.It has also been posited that individuals whose fundamental requirements(e.g.,sleep)are not sufficiently met andwho lack adequate support(e.g.,perceived social support)are incapable of effectivelyharnessing theirpotential.The primary objective of this study is to examine themediating effects of sleep disorder and perceived social support on the relationship between social media addiction and job performance.Furthermore,it seeks to explore the moderating effects of perceived social support on sleep disorders and job performance.Methods:The data were collected through the questionnairemethod,and data analysis was performed using SPSS 26.0.Moreover,statistical analysis encompasses correlation analysis,mediation,and moderation analysis.The data were gathered from 488 healthcare professionals(57.2%female),whose ages ranged from 24 to 56 years(Meanage±SD=37.86±6.71),using a convenience sample approach.Results:The results revealed significant relationships between social media addiction,job performance,perceived social support,and sleep disorder.The findings indicate that social media addiction negatively predicts job performance(β=−0.11,p<0.05).Sleep disorder(effect size=−0.02,95%CI=[−0.04,−0.00])and perceived social support(effect size=−0.01,95%CI=[−0.02,−0.00])mediate this relationship.Furthermore,perceived social supportmoderates the pathway between sleep disorder and job performance(index ofmoderatedmediation:−0.0040,95%CI=[−0.0070,−0.0010]).Conclusions:This study suggests that social media addiction negatively affects job performance through sleep disorders and perceived social support among healthcare professionals.The study’s findings are significant,as they suggest that treatments aimed at alleviating sleep disorders and enhancing perceived social support among medical workers may improve their job performance.
