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
Background: From the two facts reported by previous research: 1) frequent co-occurrence of more than one addictive behavior, 2) childhood adversities identified as origins of different types of addictive behaviors, it...Background: From the two facts reported by previous research: 1) frequent co-occurrence of more than one addictive behavior, 2) childhood adversities identified as origins of different types of addictive behaviors, it is assumed that all types of addictive behaviors, regardless of substance, behavioral, or relationship, share common factors which have not yet been proven by epidemiological research. The Shorter PROMIS Questionnaire (SPQ) was previously developed to assess 16 types of addictive behaviors. Its factor structure, however, has not been fully investigated. Confirming the factor structure will enable us to hypothesize the common factor(s) shared by all, or if not all, most types of addictive behaviors. Aims: This study aimed at 1) examining the factor structure of the SPQ, 2) confirming the reliability of the questionnaire, and 3) examining the impacts of gender and age on each addictive behavior. Methods: Data obtained from 232 Japanese adults who completed all items of the SPQ were used for the analyses. After confirming the one-factor structure model for each of the 16 subscales, the validity of the one-factor structure of the SPQ was evaluated using Confirmatory Factor Analysis (CFA), by adapting 16 subscale scores as observed variables. If its validity was not confirmed, another model which showed better compatibility to the data was explored. The reliability of the SPQ as well as that of all 16 subscales was evaluated. Also, the impacts of gender and age on each subscale score were examined. Results: The one-factor structure for each of the 16 subscales was confirmed. The compatibility of the SPQ one-factor model was not acceptable. The best fit model was a bi-factor model in which one main factor was shared by all 16 subscales, and three factors were shared by some specific addictive behaviors. Male respondents were more likely than female respondents to show high scores in Alcohol, Tobacco, Gambling, Sex, and Recreational Drugs, and low scores only in Shopping. Respondents’ age did not impact any of the 16 subscale scores. Conclusion: It was demonstrated that there are common factors shared by all different types, as well as selected types of addictive behaviors, by conducting CFAs of the SPQ. Reliability was proven for the SPQ and for all 16 subscales. Male respondents were more likely to show physically hedonic addictive behaviors.展开更多
This review critically examines gaming addiction within the contexts of media psychology and addiction theory.It outlines a continuum of gaming behavior,from casual play to addiction,characterized by loss of control,p...This review critically examines gaming addiction within the contexts of media psychology and addiction theory.It outlines a continuum of gaming behavior,from casual play to addiction,characterized by loss of control,prioritizing gaming over other activities,and negative life consequences.The inclusion of gaming disorder in International Classification of Disease 11 and its provisional status in Diagnostic and Statistical Manual of Mental Disorder 5 highlight growing clinical and societal recognition.The review explores neural correlates of gaming addiction,such as activation in reward-related brain regions,drawing parallels with substance addiction.It highlights how media and marketing promote gaming behaviors potentially leading to addiction,raising ethical concerns about game design and advertising.The review systematically analyzes the negative physical,mental,social,and occupational impacts of gaming addiction.It advocates for a balanced approach emphasizing awareness,therapeutic interventions,and responsible media practices,while also proposing areas for future research and policy development to mitigate the risks of excessive gaming.展开更多
This study is a contribution to basic research on narcissism shown on addic<span>tive behavior. A new biosystematic model of narcissism underlying addictive </span><span>behavior is outlined. Basical...This study is a contribution to basic research on narcissism shown on addic<span>tive behavior. A new biosystematic model of narcissism underlying addictive </span><span>behavior is outlined. Basically, normal narcissism is defined as the</span> self-reference of living systems maintaining their circular organization and identity. The communication between narcissistic systems follows the narcissistic logic of fitting or non-fitting of structures (a third possibility is excluded) shown on geometric diagrams. From this model of narcissistic interactions with the environment, addictive behavior is deduced. If the narcissistic desire for the ideal objects cannot be satisfied in the environment, the narcissist attempts to cope with this lack of intended objects by abuse of addictive substances. This leads to an overexpression of receptors in pertinent brain areas that may underly craving on the behavioral level, interpreted as pseudo satisfaction of narcissistic desires</span></span><span><span><span style="font-family:"">—<span>destiny becomes an addiction. In conclusion, the significance of the biosystematic model of narcissism for the understanding of addictive communication and the psychopathology of depression is briefly discussed.展开更多
Drug addiction is a complex brain disease closely related to the expression and methylation of many genes.Differential genes can influence addiction,and some key differential genes may have a significant impact on the...Drug addiction is a complex brain disease closely related to the expression and methylation of many genes.Differential genes can influence addiction,and some key differential genes may have a significant impact on the occurrence and development of addiction.Nowadays,data on addictive drugs is widely available.To our knowledge,there are very few databases on genes related to addictive drugs,and existing addiction related databases are not available.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
Background Peer victimization has been recognized as a common social problem affecting children and adolescents in all parts of the world. This study aims to examine the prevalence of different types of peer victimiza...Background Peer victimization has been recognized as a common social problem affecting children and adolescents in all parts of the world. This study aims to examine the prevalence of different types of peer victimization and to evaluate the associations between peer victimization and health correlates. Methods Using a large population sample of 18,341 adolescents aged 15–17 years from 6 cities in China, this study esti-mated the prevalence of different types of peer victimization, addictive behaviors, and health-related variables with self-administrated questionnaires. A three-phase logistical regression analysis was conducted to investigate the associations between peer victimization and addictive behaviors as well as health-related factors among adolescents. Results A total of 42.9% of the surveyed Chinese adolescents have been bullied by peers, with boys reporting higher rate on overt victimization (36.9%) and girls on relational forms (33.9%). School environment (34.7%) was the most frequent scene of peer violence, followed by neighborhood, family, and internet. Addictive behaviors except substance abuse were found related to higher possibility of peer victimization (aOR 1.21–1.73, P<0.001). Peer victimization was significantly associated with more depressive symptoms, post-traumatic stress disorder symptoms, and suicide ideation and deliberate self-harm (aOR 1.05–2.27, P<0.001), and poorer self-esteem and health-related quality of life (aOR 0.95–0.97, P<0.001). Conclusion Possible explanations of the associations found in this study are discussed and implications for future services are raised.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
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
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
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.
文摘Background: From the two facts reported by previous research: 1) frequent co-occurrence of more than one addictive behavior, 2) childhood adversities identified as origins of different types of addictive behaviors, it is assumed that all types of addictive behaviors, regardless of substance, behavioral, or relationship, share common factors which have not yet been proven by epidemiological research. The Shorter PROMIS Questionnaire (SPQ) was previously developed to assess 16 types of addictive behaviors. Its factor structure, however, has not been fully investigated. Confirming the factor structure will enable us to hypothesize the common factor(s) shared by all, or if not all, most types of addictive behaviors. Aims: This study aimed at 1) examining the factor structure of the SPQ, 2) confirming the reliability of the questionnaire, and 3) examining the impacts of gender and age on each addictive behavior. Methods: Data obtained from 232 Japanese adults who completed all items of the SPQ were used for the analyses. After confirming the one-factor structure model for each of the 16 subscales, the validity of the one-factor structure of the SPQ was evaluated using Confirmatory Factor Analysis (CFA), by adapting 16 subscale scores as observed variables. If its validity was not confirmed, another model which showed better compatibility to the data was explored. The reliability of the SPQ as well as that of all 16 subscales was evaluated. Also, the impacts of gender and age on each subscale score were examined. Results: The one-factor structure for each of the 16 subscales was confirmed. The compatibility of the SPQ one-factor model was not acceptable. The best fit model was a bi-factor model in which one main factor was shared by all 16 subscales, and three factors were shared by some specific addictive behaviors. Male respondents were more likely than female respondents to show high scores in Alcohol, Tobacco, Gambling, Sex, and Recreational Drugs, and low scores only in Shopping. Respondents’ age did not impact any of the 16 subscale scores. Conclusion: It was demonstrated that there are common factors shared by all different types, as well as selected types of addictive behaviors, by conducting CFAs of the SPQ. Reliability was proven for the SPQ and for all 16 subscales. Male respondents were more likely to show physically hedonic addictive behaviors.
文摘This review critically examines gaming addiction within the contexts of media psychology and addiction theory.It outlines a continuum of gaming behavior,from casual play to addiction,characterized by loss of control,prioritizing gaming over other activities,and negative life consequences.The inclusion of gaming disorder in International Classification of Disease 11 and its provisional status in Diagnostic and Statistical Manual of Mental Disorder 5 highlight growing clinical and societal recognition.The review explores neural correlates of gaming addiction,such as activation in reward-related brain regions,drawing parallels with substance addiction.It highlights how media and marketing promote gaming behaviors potentially leading to addiction,raising ethical concerns about game design and advertising.The review systematically analyzes the negative physical,mental,social,and occupational impacts of gaming addiction.It advocates for a balanced approach emphasizing awareness,therapeutic interventions,and responsible media practices,while also proposing areas for future research and policy development to mitigate the risks of excessive gaming.
文摘This study is a contribution to basic research on narcissism shown on addic<span>tive behavior. A new biosystematic model of narcissism underlying addictive </span><span>behavior is outlined. Basically, normal narcissism is defined as the</span> self-reference of living systems maintaining their circular organization and identity. The communication between narcissistic systems follows the narcissistic logic of fitting or non-fitting of structures (a third possibility is excluded) shown on geometric diagrams. From this model of narcissistic interactions with the environment, addictive behavior is deduced. If the narcissistic desire for the ideal objects cannot be satisfied in the environment, the narcissist attempts to cope with this lack of intended objects by abuse of addictive substances. This leads to an overexpression of receptors in pertinent brain areas that may underly craving on the behavioral level, interpreted as pseudo satisfaction of narcissistic desires</span></span><span><span><span style="font-family:"">—<span>destiny becomes an addiction. In conclusion, the significance of the biosystematic model of narcissism for the understanding of addictive communication and the psychopathology of depression is briefly discussed.
基金supported by the Natural Science Foundation of Heilongjiang Province,China (No.LH2021F043)the National Natural Science Foundation of China (No.61702141).
文摘Drug addiction is a complex brain disease closely related to the expression and methylation of many genes.Differential genes can influence addiction,and some key differential genes may have a significant impact on the occurrence and development of addiction.Nowadays,data on addictive drugs is widely available.To our knowledge,there are very few databases on genes related to addictive drugs,and existing addiction related databases are not available.
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.
文摘Background Peer victimization has been recognized as a common social problem affecting children and adolescents in all parts of the world. This study aims to examine the prevalence of different types of peer victimization and to evaluate the associations between peer victimization and health correlates. Methods Using a large population sample of 18,341 adolescents aged 15–17 years from 6 cities in China, this study esti-mated the prevalence of different types of peer victimization, addictive behaviors, and health-related variables with self-administrated questionnaires. A three-phase logistical regression analysis was conducted to investigate the associations between peer victimization and addictive behaviors as well as health-related factors among adolescents. Results A total of 42.9% of the surveyed Chinese adolescents have been bullied by peers, with boys reporting higher rate on overt victimization (36.9%) and girls on relational forms (33.9%). School environment (34.7%) was the most frequent scene of peer violence, followed by neighborhood, family, and internet. Addictive behaviors except substance abuse were found related to higher possibility of peer victimization (aOR 1.21–1.73, P<0.001). Peer victimization was significantly associated with more depressive symptoms, post-traumatic stress disorder symptoms, and suicide ideation and deliberate self-harm (aOR 1.05–2.27, P<0.001), and poorer self-esteem and health-related quality of life (aOR 0.95–0.97, P<0.001). Conclusion Possible explanations of the associations found in this study are discussed and implications for future services are raised.
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.
