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 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
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
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
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
Objective: To study surgical management for pati ents with femoral pseudoaneurysm resulting from addictive drug injection. Methods: Clinical data of 34 patients with femoral pseudoaneury sm resulting from addictive dr...Objective: To study surgical management for pati ents with femoral pseudoaneurysm resulting from addictive drug injection. Methods: Clinical data of 34 patients with femoral pseudoaneury sm resulting from addictive drug injection were retrospectively reviewed. Results: Thirteen patients underwent bypass graft (end to side) of external iliac artery and superficial femoral artery using expanded polytetr afluoroethylene (ePTFE). Three patients who had an autogenous saphenous vein gra ft in situs,one of whom was then performed an ePTFE graft when rupture and blee ding occurred at the anastomotic site. Color Doppler image showed patent grafted blood vessels in all the patients after operation. Eighteen patients had their femoral arteries ligated. Limbs of all the 34 patients were saved. Conclusions: Ligating femoral artery is an effective way to tre at femoral artery pseudoaneurysm if autogenous saphenous vein graft or artificia l vessel graft is not applicable.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
The low accuracy of wire arc additive manufacturing(WAAM)is one of the main factors limiting its development,and is detrimental to the mechanical properties of WAAM structures.This study primarily investigated the eff...The low accuracy of wire arc additive manufacturing(WAAM)is one of the main factors limiting its development,and is detrimental to the mechanical properties of WAAM structures.This study primarily investigated the effects of wire-feeding directions and positions of the molten pool on the quality and accuracy of unsupported WAAM.First,the three-dimensional(3D)morphology and volume of unsupported rods manufactured with different wirefeeding directions were quantitatively evaluated using a 3D scanning method.The effects of the wire-feeding direction and arc length on the volume and standard deviation of the unsupported rods are then discussed in detail.Finally,the influence of the wire-feeding direction on the quality and accuracy of unsupported WAAM is discussed and revealed by combining the temperature gradients,surface tension,and contact angles.The research revealed that feeding a wire into the high-temperature zone of the molten pool could reduce material spatter and achieve higher precision.The volume of the sample fed into the high-temperature zone was 120%of that fed into the low-temperature zone.This reduced not only the material waste but also the standard deviation of the diameter of the same group of samples.This research is of great significance and value for high-quality unsupported WAAM.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
Abstract： In the presem study, we simultaneously quantified the levels of monoamine neurotransmitters （MANTs） and their metabolites （levodopa, norepinephrine, epinephrine, dopamine, 5-HT, 3,4-dihydroxyphenylacetic...Abstract： In the presem study, we simultaneously quantified the levels of monoamine neurotransmitters （MANTs） and their metabolites （levodopa, norepinephrine, epinephrine, dopamine, 5-HT, 3,4-dihydroxyphenylacetic acid, homovanillic acid and 5-hydroxyindole-3-acetic acid） in different brain subregions of rats using a newly developed simple, sensitive and selective high-performance liquid chromatography with fluorescence detection （HPLC-FLD） method. In this new HPLC-FLD method, analytes were directly extracted and separated without deriveatization step within 20 min. The FLD wavelength was set at 280 nm and 330 nm for excitation and emission, respectively. The analytes were separated on an Agilent Eclipse Plus Cls column （4.6 mm×150 mm, 5.0 μm） equipped with an Agilent XDB-C18 security guard column （4.6 mm×12.5 mm, 5.0 lam）, and the column temperature was maintained at 35 ℃. The mobile phase for elution was isocratic. The mobile phase consisted of citric acid buffer （50 mmol/L citric acid, 50 mmol/L sodium acetate, 0.5 mmol/L octane sulfonic acid sodium salt, 0.5 mmol/L Na2EDTA and 5 mmol/L triethylamine, pH 3.8） and methanol （90：10, v/v） at a flow rate of 1.0 mL/min. The detection limit （DL） was 0.9-23 nM for all the MANTs and their metabolites with a sample volume of 50 μL. The method was shown to be highly reproducible in terms of peak area （intraday, 0.08%-1.85% RSD, n = 5）. The simultaneous measurement of these MANTs and their metabolites improved our understanding of the neurochemistry in the central nervous system （CNS） in relation to different addictive drugs （methamphetamine, heroin and their mixture） in drug-addicted rat models.展开更多
Objectives:The addiction of the student population to short-form video platforms such as TikTok(Douyin)is becoming increasingly apparent and is rapidly expanding.This emerging addiction is also believed to have negati...Objectives:The addiction of the student population to short-form video platforms such as TikTok(Douyin)is becoming increasingly apparent and is rapidly expanding.This emerging addiction is also believed to have negative impacts on students’academic,social,and emotional well-being.Consequently,video addiction has become an important public health issue on campuses around the world.Therefore,this study aimed to investigate the relationship between two types of TikTok addiction(video and live streaming)and social and emotional learning(SEL),including self-awareness,self-management,social awareness,relationship skills,and responsible decision-making.Methods:Previous research has indicated that some students at vocational colleges become addicted to short-form videos.Accordingly,this study employed a snowball sampling method to survey students at vocational institutions across China.A total of 563 valid responses were obtained,yielding an effective response rate of 84.66%.The mean age of participants was 20.20 years old(SD=1.36).Data were validated with structural equation modeling.Results:Results showed that both video content addiction and live-streaming content addiction negatively correlatedwith all five dimensions of SEL.This also represents that all 10 hypotheses are valid and significant at p<0.001.Theeffect sizes ranged from 0.48 to 0.54,which represents larger effect sizes.Notably,TikTok addiction showed the strongest explanatory power for self-awareness.This indicates that higher levels of addiction to either video or live-streaming content are associatedwith poorer performance across all facets of social and emotional learning,including self-awareness,emotion regulation,interpersonal relationships,sense of responsibility,and empathy.Conclusion:This study found that TikTok addicts entered a state of ego depletion due to impaired self-regulation.This depletion then caused their subsequent self-control efforts during learning to fail.Our results also support the ego depletion theory,which posits that engaging in self-regulatory behaviors consumes limited self-control resources and can trigger a range of complex cognitive,emotional,and behavioral problems.This result also draws attention to the negative consequences of excessive use of short videos for social awareness and emotional performance.展开更多
BACKGROUND The prevalence of addiction makes it a significant public health issue.Recently,transcranial magnetic stimulation(TMS)has garnered significant attention as a promising treatment for addiction.AIM To analyze...BACKGROUND The prevalence of addiction makes it a significant public health issue.Recently,transcranial magnetic stimulation(TMS)has garnered significant attention as a promising treatment for addiction.AIM To analyze development trends and research hotspots in TMS-based addiction treatment using a bibliometric approach.METHODS Articles on TMS-based addiction treatment from 2001 to 2023 were sourced from the Science Citation Index Expanded in the Web of Science Core Collection.CiteSpace software,VOSviewer,the"bibliometrix"R software package,and the bibliometric online analysis platform were used to analyze the current publication trends and hotspots.RESULTS Total 190 articles on TMS-based addiction treatment were identified,with clinical studies being the most prevalent.The United States led in both publication volume and international collaborations.Medical University of South Carolina and Zangen A were the most productive institution and author,respectively.Neurobiology,alcohol use disorder,and repetitive TMS were the most recent research hotspots.CONCLUSION Future research should focus on the neurobiological mechanisms underlying TMS-based addiction treatment.This study offers comprehensive insights and recommendations for advancing research on TMS-based addiction treatment.展开更多
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
Overeating is a risk factor and a management challenge in adiposity-based chronic disease(ABCD).Acupuncture has shown high safety and reliable clinical evidence in addressing overeating,and it is the promising potenti...Overeating is a risk factor and a management challenge in adiposity-based chronic disease(ABCD).Acupuncture has shown high safety and reliable clinical evidence in addressing overeating,and it is the promising potential non-pharmacological intervention.However,the mechanism underlying its effects has not been sufficiently summarized.The addiction model offers a framework to elucidate the mechanism of this aberrant eating behavior and provides novel perspectives and breakthrough points for optimizing clinical acupuncture strategies in ABCD management.In the paper,through analyzing domestic and in-ternational relevant findings,the characteristics of overeating based on food addiction,the relationship between overeating and ABCD,and the potential effect mechanisms of acupuncture for FA have been re-viewed and summarized.Including adaptive balance of transmitters and hormones,functional networks,periphery-central connection,and cross-system interaction.In future studies,the maturely-developed ad-diction research methods should be adopted to deepen the exploration on the mechanism of acupuncture effect,addiction medicine should be leveraged to shatter the cognitive barriers surrounding acupuncture’s role in mind-body regulation for ABCD treatment,and the prevention and treatment of overeating via acupuncture should be organically integrated into multidisciplinary management strategies.展开更多
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
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
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 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.
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.
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.
文摘Objective: To study surgical management for pati ents with femoral pseudoaneurysm resulting from addictive drug injection. Methods: Clinical data of 34 patients with femoral pseudoaneury sm resulting from addictive drug injection were retrospectively reviewed. Results: Thirteen patients underwent bypass graft (end to side) of external iliac artery and superficial femoral artery using expanded polytetr afluoroethylene (ePTFE). Three patients who had an autogenous saphenous vein gra ft in situs,one of whom was then performed an ePTFE graft when rupture and blee ding occurred at the anastomotic site. Color Doppler image showed patent grafted blood vessels in all the patients after operation. Eighteen patients had their femoral arteries ligated. Limbs of all the 34 patients were saved. Conclusions: Ligating femoral artery is an effective way to tre at femoral artery pseudoaneurysm if autogenous saphenous vein graft or artificia l vessel graft is not applicable.
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 National Natural Science Foundation of China(Grant No.12102219)National Key Research and Development Program of China(Grant No.2022YFB4601900)。
文摘The low accuracy of wire arc additive manufacturing(WAAM)is one of the main factors limiting its development,and is detrimental to the mechanical properties of WAAM structures.This study primarily investigated the effects of wire-feeding directions and positions of the molten pool on the quality and accuracy of unsupported WAAM.First,the three-dimensional(3D)morphology and volume of unsupported rods manufactured with different wirefeeding directions were quantitatively evaluated using a 3D scanning method.The effects of the wire-feeding direction and arc length on the volume and standard deviation of the unsupported rods are then discussed in detail.Finally,the influence of the wire-feeding direction on the quality and accuracy of unsupported WAAM is discussed and revealed by combining the temperature gradients,surface tension,and contact angles.The research revealed that feeding a wire into the high-temperature zone of the molten pool could reduce material spatter and achieve higher precision.The volume of the sample fed into the high-temperature zone was 120%of that fed into the low-temperature zone.This reduced not only the material waste but also the standard deviation of the diameter of the same group of samples.This research is of great significance and value for high-quality unsupported WAAM.
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National Natural Science Foundation(Grant No.813 73372)the Open Foundation of State Key Laboratory of Natural and Biomimetic Drugs(Grant No.SKL2012004)Specialized Research Fund for the Doctoral Program of Higher Education of China(Grant No.20110001110021 and 20130001110059)
文摘Abstract： In the presem study, we simultaneously quantified the levels of monoamine neurotransmitters （MANTs） and their metabolites （levodopa, norepinephrine, epinephrine, dopamine, 5-HT, 3,4-dihydroxyphenylacetic acid, homovanillic acid and 5-hydroxyindole-3-acetic acid） in different brain subregions of rats using a newly developed simple, sensitive and selective high-performance liquid chromatography with fluorescence detection （HPLC-FLD） method. In this new HPLC-FLD method, analytes were directly extracted and separated without deriveatization step within 20 min. The FLD wavelength was set at 280 nm and 330 nm for excitation and emission, respectively. The analytes were separated on an Agilent Eclipse Plus Cls column （4.6 mm×150 mm, 5.0 μm） equipped with an Agilent XDB-C18 security guard column （4.6 mm×12.5 mm, 5.0 lam）, and the column temperature was maintained at 35 ℃. The mobile phase for elution was isocratic. The mobile phase consisted of citric acid buffer （50 mmol/L citric acid, 50 mmol/L sodium acetate, 0.5 mmol/L octane sulfonic acid sodium salt, 0.5 mmol/L Na2EDTA and 5 mmol/L triethylamine, pH 3.8） and methanol （90：10, v/v） at a flow rate of 1.0 mL/min. The detection limit （DL） was 0.9-23 nM for all the MANTs and their metabolites with a sample volume of 50 μL. The method was shown to be highly reproducible in terms of peak area （intraday, 0.08%-1.85% RSD, n = 5）. The simultaneous measurement of these MANTs and their metabolites improved our understanding of the neurochemistry in the central nervous system （CNS） in relation to different addictive drugs （methamphetamine, heroin and their mixture） in drug-addicted rat models.
基金supported by the First-Class Education Discipline Development of Beijing Normal University(Grant Numbers:YLXKPY-XSDW202408,YLXKPY-ZYSB202201).
文摘Objectives:The addiction of the student population to short-form video platforms such as TikTok(Douyin)is becoming increasingly apparent and is rapidly expanding.This emerging addiction is also believed to have negative impacts on students’academic,social,and emotional well-being.Consequently,video addiction has become an important public health issue on campuses around the world.Therefore,this study aimed to investigate the relationship between two types of TikTok addiction(video and live streaming)and social and emotional learning(SEL),including self-awareness,self-management,social awareness,relationship skills,and responsible decision-making.Methods:Previous research has indicated that some students at vocational colleges become addicted to short-form videos.Accordingly,this study employed a snowball sampling method to survey students at vocational institutions across China.A total of 563 valid responses were obtained,yielding an effective response rate of 84.66%.The mean age of participants was 20.20 years old(SD=1.36).Data were validated with structural equation modeling.Results:Results showed that both video content addiction and live-streaming content addiction negatively correlatedwith all five dimensions of SEL.This also represents that all 10 hypotheses are valid and significant at p<0.001.Theeffect sizes ranged from 0.48 to 0.54,which represents larger effect sizes.Notably,TikTok addiction showed the strongest explanatory power for self-awareness.This indicates that higher levels of addiction to either video or live-streaming content are associatedwith poorer performance across all facets of social and emotional learning,including self-awareness,emotion regulation,interpersonal relationships,sense of responsibility,and empathy.Conclusion:This study found that TikTok addicts entered a state of ego depletion due to impaired self-regulation.This depletion then caused their subsequent self-control efforts during learning to fail.Our results also support the ego depletion theory,which posits that engaging in self-regulatory behaviors consumes limited self-control resources and can trigger a range of complex cognitive,emotional,and behavioral problems.This result also draws attention to the negative consequences of excessive use of short videos for social awareness and emotional performance.
基金Supported by National Natural Science Foundation of China,No.81973620Wenzhou Municipal Science and Technology Bureau,No.Y20220091.
文摘BACKGROUND The prevalence of addiction makes it a significant public health issue.Recently,transcranial magnetic stimulation(TMS)has garnered significant attention as a promising treatment for addiction.AIM To analyze development trends and research hotspots in TMS-based addiction treatment using a bibliometric approach.METHODS Articles on TMS-based addiction treatment from 2001 to 2023 were sourced from the Science Citation Index Expanded in the Web of Science Core Collection.CiteSpace software,VOSviewer,the"bibliometrix"R software package,and the bibliometric online analysis platform were used to analyze the current publication trends and hotspots.RESULTS Total 190 articles on TMS-based addiction treatment were identified,with clinical studies being the most prevalent.The United States led in both publication volume and international collaborations.Medical University of South Carolina and Zangen A were the most productive institution and author,respectively.Neurobiology,alcohol use disorder,and repetitive TMS were the most recent research hotspots.CONCLUSION Future research should focus on the neurobiological mechanisms underlying TMS-based addiction treatment.This study offers comprehensive insights and recommendations for advancing research on TMS-based addiction treatment.
基金supported by the International Joint Research Project of Huiyan International College,Faculty of Education,Beijing Normal University(Grant Number:ICER202102).
文摘Objectives:Short video addiction has emerged as a significant public health issue in recent years,with a growing trend toward severity.However,research on the causes and impacts of short video addiction remains limited,and understanding of the variable“TikTok brain”is still in its infancy.Therefore,based on the Stimulus-Organism-Behavior-Consequence(SOBC)framework,we proposed six research hypotheses and constructed a model to explore the relationships between short video usage intensity,TikTok brain,short video addiction,and decreased attention control.Methods:Given that students are considered a high-risk group for excessive short video use,we collected 1086 valid participants from Chinese student users,including 609 males(56.1%)and 477 females(43.9%),with an average participant age of 19.84 years,to test the hypotheses.Results:(1)Short video usage intensity was positively related to short video addiction,TikTok brain,and decreased attention control;(2)TikTok brain was positively related to short video addiction and decreased attention control;and(3)Short video addiction was positively related to decreased attention control.Conclusions:These findings suggest that although excessive use of short video applications brings negative consequences,users still spend significant amounts of time on these platforms,indicating a need for strict self-regulation of usage time.
基金Supported by National Natural Science Foundation of China:82405556,82174527the National Traditional Chinese Medicine Advantage Specialized Department Construction Project:Yue TCM[2024]No.2+4 种基金the China Postdoctoral Science Foundation General Project:2024M750464Guangdong Basic and Applied Basic Research Foundation:2023A1515110682Jin-Xiong Lao Guangdong Provincial Famous Chinese Medicine Practitioner Heritage Studio:Yue TCM Office Document[2023]No.108Jin-Xiong Lao Foshan City Famous Chinese Medicine Practitioner Heritage Studio:Foshan Health Office Document[2022]No.106Foshan City's 14th 5-Year Plan Chinese Medicine Key Specialized Construction Projects:Foshan Health Office Document[2020]No.15。
文摘Overeating is a risk factor and a management challenge in adiposity-based chronic disease(ABCD).Acupuncture has shown high safety and reliable clinical evidence in addressing overeating,and it is the promising potential non-pharmacological intervention.However,the mechanism underlying its effects has not been sufficiently summarized.The addiction model offers a framework to elucidate the mechanism of this aberrant eating behavior and provides novel perspectives and breakthrough points for optimizing clinical acupuncture strategies in ABCD management.In the paper,through analyzing domestic and in-ternational relevant findings,the characteristics of overeating based on food addiction,the relationship between overeating and ABCD,and the potential effect mechanisms of acupuncture for FA have been re-viewed and summarized.Including adaptive balance of transmitters and hormones,functional networks,periphery-central connection,and cross-system interaction.In future studies,the maturely-developed ad-diction research methods should be adopted to deepen the exploration on the mechanism of acupuncture effect,addiction medicine should be leveraged to shatter the cognitive barriers surrounding acupuncture’s role in mind-body regulation for ABCD treatment,and the prevention and treatment of overeating via acupuncture should be organically integrated into multidisciplinary management strategies.
基金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 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.
