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
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
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
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
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
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
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
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
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
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 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
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
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 and Objective Social anxiety arising from intensive social media usage(SMU)among adolescents and youth has gained extensive attention in recent years due to its negative influence on mental health and acade...Background and Objective Social anxiety arising from intensive social media usage(SMU)among adolescents and youth has gained extensive attention in recent years due to its negative influence on mental health and academic performance.In spite of that,there is a dearth regarding the etiology of SMU-related social anxiety.This study aims to further clarify the influence of introversion personality on SMU-related social anxiety and the mechanism underlying such an association and provide a new perspective for developing effective intervention strategies for the highly prevailing SMU-related anxiety among Chinese college students.Methods A cohort of 979 college students(266 males and 713 females)aged 20.90±1.91 years was enrolled in this cross-sectional study.Four measures including the"extroversion"domain of Eysenck Personality Questionnaire Revised,Short Scale(EPQ-R-S E),Interaction Anxiousness Scale(IAS),Mobile Phone Addiction Index(MPAI),and Social Anxiety Scale for Social Media Users(SAS-SMU)were used to evaluate the influence of introversion personality on SMU-related social anxiety that was potentially mediated sequentially by interaction anxiousness and mobile phone addiction.Hayes PROCESS was used for correlation and mediation analysis.Results Interaction anxiousness(indirect effect=-1.331,95%CI:-1.559--1.122)partially mediated the association between introversion personality and SMU-related social anxiety.Besides,a sequential mediation of interaction anxiousness and mobile phone addiction in the link between introversion personality and SMU-related social anxiety was revealed(indirect effect=-0.308,95%CI:-0.404--0.220).No significant mediating effect was found with mobile phone addiction in the association between introversion personality and SMU-related social anxiety.Conclusion Targeting interaction anxiousness and mobile phone addiction may represent an efficient strategy alleviating SMU-related social anxiety among Chinese college students with introversion personality.展开更多
Background:Recent years have witnessed the rapid rise of TikTok,a short-video social platform,which has sparked concerns about its potential for misuse and addiction.TikTok addiction has been associated with various p...Background:Recent years have witnessed the rapid rise of TikTok,a short-video social platform,which has sparked concerns about its potential for misuse and addiction.TikTok addiction has been associated with various psychological and social issues.This study aims to explore the mediating role of social ostracism in the relationship between the Dark Triad(Machiavellianism,Psychopathy,and Narcissism)and TikTok addiction.Methods:Data were collected from 425 Chinese college students through convenience sampling,using three validated scales:the Dirty Dozen,the Social Ostracism Scale,and the Bergen Social Media Addiction Scale.Structural Equation Modeling(SEM)with AMOS 24 revealed significant patterns.Results:Narcissism had direct positive effects on both social ostracism(β0.115,p 0.01)and TikTok addiction(β0.223,p 0.05),while Psychopathy only had a direct positive effect=<=<on social ostracism(β0.147,p 0.05).Contrary to expectations,Machiavellianism did not show significant direct=<effects on either social ostracism(βp 0.05)or TikTok addiction(β0.135,p 0.05).Mediation analysis=-0.031,>=>confirmed that social ostracism acted as a positive mediator,amplifying the effects of Psychopathy(β0.049,p 0.05)=<and Narcissism(β0.052,p 0.01)on TikTok addiction.In other words,higher levels of Psychopathy and Narcissism=<were linked to greater experiences of social ostracism,which in turn were linked to higher levels of TikTok addiction.Conclusion:These findings suggest an important role for social ostracism in linking Narcissism and Psychopathy to TikTok addiction.Addressing social ostracism and these dark personality traits through targeted interventions may be important in reducing TikTok addiction risks among individuals with such traits.展开更多
THE BUSINESS OF EMOTION Neweekly 1 August From lucky charms promising safety to addictive blind boxes,from milk tea-fuelled social frenzies to concert tickets fetching 10 times their original price,a new wave of consu...THE BUSINESS OF EMOTION Neweekly 1 August From lucky charms promising safety to addictive blind boxes,from milk tea-fuelled social frenzies to concert tickets fetching 10 times their original price,a new wave of consumption is reshaping our daily lives.At the heart of this trend is the“emotion economy,”a rapidly expanding industry that turns feelings into marketable goods.展开更多
BACKGROUND Severe dengue children with critical complications have been attributed to high mortality rates,varying from approximately 1%to over 20%.To date,there is a lack of data on machine-learning-based algorithms ...BACKGROUND Severe dengue children with critical complications have been attributed to high mortality rates,varying from approximately 1%to over 20%.To date,there is a lack of data on machine-learning-based algorithms for predicting the risk of inhospital mortality in children with dengue shock syndrome(DSS).AIM To develop machine-learning models to estimate the risk of death in hospitalized children with DSS.METHODS This single-center retrospective study was conducted at tertiary Children’s Hospital No.2 in Viet Nam,between 2013 and 2022.The primary outcome was the in-hospital mortality rate in children with DSS admitted to the pediatric intensive care unit(PICU).Nine significant features were predetermined for further analysis using machine learning models.An oversampling method was used to enhance the model performance.Supervised models,including logistic regression,Naïve Bayes,Random Forest(RF),K-nearest neighbors,Decision Tree and Extreme Gradient Boosting(XGBoost),were employed to develop predictive models.The Shapley Additive Explanation was used to determine the degree of contribution of the features.RESULTS In total,1278 PICU-admitted children with complete data were included in the analysis.The median patient age was 8.1 years(interquartile range:5.4-10.7).Thirty-nine patients(3%)died.The RF and XGboost models demonstrated the highest performance.The Shapley Addictive Explanations model revealed that the most important predictive features included younger age,female patients,presence of underlying diseases,severe transaminitis,severe bleeding,low platelet counts requiring platelet transfusion,elevated levels of international normalized ratio,blood lactate and serum creatinine,large volume of resuscitation fluid and a high vasoactive inotropic score(>30).CONCLUSION We developed robust machine learning-based models to estimate the risk of death in hospitalized children with DSS.The study findings are applicable to the design of management schemes to enhance survival outcomes of patients with DSS.展开更多
Drug addiction refers to a state of dependence that arises from habitual drug intake and can result in specific withdrawal symptoms upon cessation.The most commonly abused substances include psychostimulants,cannabino...Drug addiction refers to a state of dependence that arises from habitual drug intake and can result in specific withdrawal symptoms upon cessation.The most commonly abused substances include psychostimulants,cannabinoids,and opioids.When drugs are consumed,they stimulate the release of dopamine,a neurotransmitter crucial for the pleasure and reward centers of the brain.With repeated drug use,the brain undergoes various changes,leading to tolerance,dependence,and addiction(Lüscher et al.,2020).The mechanisms involved in drug addiction are highly complex and involve diverse cell types within the brain.展开更多
Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,t...Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand.The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale(SABAS)and Bergen Social Media Addiction Scale(BSMAS).Method:A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic information,SABAS,BSMAS,and the Internet Gaming Disorder Scale-Short Form(IGDS9-SF).Results:Confirmatory Factor Analyses(CFAs)found that both the SABAS and BSMAS had a one-factor structure.Findings demonstrated adequate psychometric properties of both instruments and also supported measurement invariance across genders.Moreover,scores on the SABAS and BSMAS were correlated with scores on the IGDS9-SF.Conclusion:The results indicated that the SABAS and BSMAS are useful psychometric instruments for assessing the risk of smartphone addiction and social media addiction among Thai young adults.展开更多
The electroencephalogram(EEG)rhythm and functional near-infrared spectroscopy(fNIRS)activation levels have not been compared between a healthy control group(HCG)and methamphetamine user group(MUG)with different addict...The electroencephalogram(EEG)rhythm and functional near-infrared spectroscopy(fNIRS)activation levels have not been compared between a healthy control group(HCG)and methamphetamine user group(MUG)with different addiction histories.This study used 64-electrode EEG and fNIRS to conduct an experiment that analyzed the resting and craving states.The EEG and fNIRS data of 56 participants were collected,including 14 healthy participants,14 methamphetamine users with an addiction history of 0.5–5 years,14 users with an addiction history of 5–10 years,and 14 users with an addiction history of 10–15 years.Isolated effective coherence(iCoh)within the brain network was used to process the EEG data.Statistical analysis was performed to compare differences in iCoh among the delta,theta,alpha,beta,and gamma bands and explore oxyhemoglobin activation levels in the ventrolateral prefrontal cortex,dorsolateral prefrontal cortex,orbitofrontal cortex,and frontopolar prefrontal cortex(FPC)of the control group.Finally,the Kmeans,Gaussian mixed model(GMM),linear discriminant analysis(LDA),support vector machine(SVM),Bayes,and convolutional neural networks(CNN)algorithms were used to classify methamphetamine users based on drug and neutral images.A 3-class accuracy was achieved.Changes in EEG and fNIRS activation levels of HCG and MUG with varied addiction histories were demonstrated.展开更多
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 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 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 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(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 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 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.
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.
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 and Objective Social anxiety arising from intensive social media usage(SMU)among adolescents and youth has gained extensive attention in recent years due to its negative influence on mental health and academic performance.In spite of that,there is a dearth regarding the etiology of SMU-related social anxiety.This study aims to further clarify the influence of introversion personality on SMU-related social anxiety and the mechanism underlying such an association and provide a new perspective for developing effective intervention strategies for the highly prevailing SMU-related anxiety among Chinese college students.Methods A cohort of 979 college students(266 males and 713 females)aged 20.90±1.91 years was enrolled in this cross-sectional study.Four measures including the"extroversion"domain of Eysenck Personality Questionnaire Revised,Short Scale(EPQ-R-S E),Interaction Anxiousness Scale(IAS),Mobile Phone Addiction Index(MPAI),and Social Anxiety Scale for Social Media Users(SAS-SMU)were used to evaluate the influence of introversion personality on SMU-related social anxiety that was potentially mediated sequentially by interaction anxiousness and mobile phone addiction.Hayes PROCESS was used for correlation and mediation analysis.Results Interaction anxiousness(indirect effect=-1.331,95%CI:-1.559--1.122)partially mediated the association between introversion personality and SMU-related social anxiety.Besides,a sequential mediation of interaction anxiousness and mobile phone addiction in the link between introversion personality and SMU-related social anxiety was revealed(indirect effect=-0.308,95%CI:-0.404--0.220).No significant mediating effect was found with mobile phone addiction in the association between introversion personality and SMU-related social anxiety.Conclusion Targeting interaction anxiousness and mobile phone addiction may represent an efficient strategy alleviating SMU-related social anxiety among Chinese college students with introversion personality.
基金reported in this paper represents a contribution to“Research Project on the Construction of Smart Teaching Capabilities in New Era Mingde College English(Grant No.2022YB0099)”at Henan Provincial Department of Education.
文摘Background:Recent years have witnessed the rapid rise of TikTok,a short-video social platform,which has sparked concerns about its potential for misuse and addiction.TikTok addiction has been associated with various psychological and social issues.This study aims to explore the mediating role of social ostracism in the relationship between the Dark Triad(Machiavellianism,Psychopathy,and Narcissism)and TikTok addiction.Methods:Data were collected from 425 Chinese college students through convenience sampling,using three validated scales:the Dirty Dozen,the Social Ostracism Scale,and the Bergen Social Media Addiction Scale.Structural Equation Modeling(SEM)with AMOS 24 revealed significant patterns.Results:Narcissism had direct positive effects on both social ostracism(β0.115,p 0.01)and TikTok addiction(β0.223,p 0.05),while Psychopathy only had a direct positive effect=<=<on social ostracism(β0.147,p 0.05).Contrary to expectations,Machiavellianism did not show significant direct=<effects on either social ostracism(βp 0.05)or TikTok addiction(β0.135,p 0.05).Mediation analysis=-0.031,>=>confirmed that social ostracism acted as a positive mediator,amplifying the effects of Psychopathy(β0.049,p 0.05)=<and Narcissism(β0.052,p 0.01)on TikTok addiction.In other words,higher levels of Psychopathy and Narcissism=<were linked to greater experiences of social ostracism,which in turn were linked to higher levels of TikTok addiction.Conclusion:These findings suggest an important role for social ostracism in linking Narcissism and Psychopathy to TikTok addiction.Addressing social ostracism and these dark personality traits through targeted interventions may be important in reducing TikTok addiction risks among individuals with such traits.
文摘THE BUSINESS OF EMOTION Neweekly 1 August From lucky charms promising safety to addictive blind boxes,from milk tea-fuelled social frenzies to concert tickets fetching 10 times their original price,a new wave of consumption is reshaping our daily lives.At the heart of this trend is the“emotion economy,”a rapidly expanding industry that turns feelings into marketable goods.
文摘BACKGROUND Severe dengue children with critical complications have been attributed to high mortality rates,varying from approximately 1%to over 20%.To date,there is a lack of data on machine-learning-based algorithms for predicting the risk of inhospital mortality in children with dengue shock syndrome(DSS).AIM To develop machine-learning models to estimate the risk of death in hospitalized children with DSS.METHODS This single-center retrospective study was conducted at tertiary Children’s Hospital No.2 in Viet Nam,between 2013 and 2022.The primary outcome was the in-hospital mortality rate in children with DSS admitted to the pediatric intensive care unit(PICU).Nine significant features were predetermined for further analysis using machine learning models.An oversampling method was used to enhance the model performance.Supervised models,including logistic regression,Naïve Bayes,Random Forest(RF),K-nearest neighbors,Decision Tree and Extreme Gradient Boosting(XGBoost),were employed to develop predictive models.The Shapley Additive Explanation was used to determine the degree of contribution of the features.RESULTS In total,1278 PICU-admitted children with complete data were included in the analysis.The median patient age was 8.1 years(interquartile range:5.4-10.7).Thirty-nine patients(3%)died.The RF and XGboost models demonstrated the highest performance.The Shapley Addictive Explanations model revealed that the most important predictive features included younger age,female patients,presence of underlying diseases,severe transaminitis,severe bleeding,low platelet counts requiring platelet transfusion,elevated levels of international normalized ratio,blood lactate and serum creatinine,large volume of resuscitation fluid and a high vasoactive inotropic score(>30).CONCLUSION We developed robust machine learning-based models to estimate the risk of death in hospitalized children with DSS.The study findings are applicable to the design of management schemes to enhance survival outcomes of patients with DSS.
基金supported by the STI2030-Major Projects(2021ZD0203000(2021ZD0203003))National Science Foundation of China(22207105)+1 种基金Beijing National Laboratory for Molecular Sciences(BNLMS202108)Chinese Academy of Sciences Pioneer Hundred Talents Program。
文摘Drug addiction refers to a state of dependence that arises from habitual drug intake and can result in specific withdrawal symptoms upon cessation.The most commonly abused substances include psychostimulants,cannabinoids,and opioids.When drugs are consumed,they stimulate the release of dopamine,a neurotransmitter crucial for the pleasure and reward centers of the brain.With repeated drug use,the brain undergoes various changes,leading to tolerance,dependence,and addiction(Lüscher et al.,2020).The mechanisms involved in drug addiction are highly complex and involve diverse cell types within the brain.
基金This research was funded by the Ministry of Science and Technology,Taiwan(MOST 110-2410-H-006-115)the Higher Education Sprout Project,Ministry of Education to the Headquarters of University Advancement at National Cheng Kung University(NCKU)the 2021 Southeast and South Asia and Taiwan Universities Joint Research Scheme(NCKU 31),and the E-Da Hospital(EDAHC111004).
文摘Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand.The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale(SABAS)and Bergen Social Media Addiction Scale(BSMAS).Method:A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic information,SABAS,BSMAS,and the Internet Gaming Disorder Scale-Short Form(IGDS9-SF).Results:Confirmatory Factor Analyses(CFAs)found that both the SABAS and BSMAS had a one-factor structure.Findings demonstrated adequate psychometric properties of both instruments and also supported measurement invariance across genders.Moreover,scores on the SABAS and BSMAS were correlated with scores on the IGDS9-SF.Conclusion:The results indicated that the SABAS and BSMAS are useful psychometric instruments for assessing the risk of smartphone addiction and social media addiction among Thai young adults.
基金supported by Shanghai Municipal Science and Technology Plan Project(No.22010502400)National Natural Science Foundation of China(Nos.82072228,92048205,and 62376149).
文摘The electroencephalogram(EEG)rhythm and functional near-infrared spectroscopy(fNIRS)activation levels have not been compared between a healthy control group(HCG)and methamphetamine user group(MUG)with different addiction histories.This study used 64-electrode EEG and fNIRS to conduct an experiment that analyzed the resting and craving states.The EEG and fNIRS data of 56 participants were collected,including 14 healthy participants,14 methamphetamine users with an addiction history of 0.5–5 years,14 users with an addiction history of 5–10 years,and 14 users with an addiction history of 10–15 years.Isolated effective coherence(iCoh)within the brain network was used to process the EEG data.Statistical analysis was performed to compare differences in iCoh among the delta,theta,alpha,beta,and gamma bands and explore oxyhemoglobin activation levels in the ventrolateral prefrontal cortex,dorsolateral prefrontal cortex,orbitofrontal cortex,and frontopolar prefrontal cortex(FPC)of the control group.Finally,the Kmeans,Gaussian mixed model(GMM),linear discriminant analysis(LDA),support vector machine(SVM),Bayes,and convolutional neural networks(CNN)algorithms were used to classify methamphetamine users based on drug and neutral images.A 3-class accuracy was achieved.Changes in EEG and fNIRS activation levels of HCG and MUG with varied addiction histories were demonstrated.
