Opioid crisis continues to gain ground in the United States with little regards to color or economic status.More than 800 people die weekly from opioid-related overdosestotally well over 42,000 deaths in 2016,and the ...Opioid crisis continues to gain ground in the United States with little regards to color or economic status.More than 800 people die weekly from opioid-related overdosestotally well over 42,000 deaths in 2016,and the number is rising.Surprisingly,the opioid overdose deaths involved an estimated 40%prescription opioid abuse.As reported by the National Drug Institute(2017),opioid addiction is often described as an“equal opportunity”problem that can afflict people from all races and walks of life.Unlike the crack crises of the past,the present opioid epidemic has extremely impacted White Americans not only the rural and poor,but also suburban and middle class or affluent.Further,current opioid overdoses deaths have increased for Whites,Blacks,and Hispanics,they have increased to a far greater degree for White Americans.Efforts to battle the increasing opioid epidemic have moved from incarceration to using legislation to limit the prescriptions being distributed.State and federal laws are being enacted to placing limitations on opioid prescriptions.展开更多
Health professionals and mainly nurses must be kept updated on context conditions where populations they have in charge, since this is the only way to maintain communication with those vulnerable groups avoiding barri...Health professionals and mainly nurses must be kept updated on context conditions where populations they have in charge, since this is the only way to maintain communication with those vulnerable groups avoiding barriers, there are topics of difficult approach such as the use and abuse of substances in adolescents, and currently adolescents communicate through social networks. We aimed to determine the influence of social networks as a pedagogic strategy in adolescents’ health education. Method: Qualitative and descriptive study with phenomenological design. Fifteen informants from nursing career participated, and selected by convenience. Data collection was through a semi-structured interview composed of 5 questions directed to informants, regarding their experience to make an informative video about use and abuse in adolescents;questions were about their experiences, found difficulties and any other element related with the making of the video, its spread, the login and acceptance that the audiovisual material had in social networks by students and the management of information with preventive goals. All final products were incorporated to a link where group members, as well as the student community, could revise the video and make comments, maintain a chat with others, and so on, a dynamic session of presentations on questions and comments was done. An informed consent was signed. Collected qualitative data were analyzed according to De Souza Minayo. Results: Three categories emerged with nine sub-categories, Category 1: Influence of social networks on students, sub-categories: 1.1) Perception about addictions, 1.2) Expectation on attention to addictions, 1.3) As educational strategy. Category 2: Experiences of students with social networks, sub-categories: 2.1) Motivates creativity, 2.2) Rescue learned skills and add others, 2.3) Motivates empathy. Category 3: Use of social networks by nurse students, sub-categories: 3.1) Constraint in videos production, 3.2) Advantage for spread in social networks, 3.3) Favors health education. Conclusion: Social networks are accepted and used by adolescents, they represent a recommendable pedagogic strategy as a way to inform, health education and prevention of use and abuse of legal and illegal substances in vulnerable groups, it is easy to access and is a good working tool for health professionals to help in prevent of this public health issue, and to keep and reach wider coverage in health education.展开更多
Methamphetamine(METH)addiction is a severe and increasingly prevalent neuropsychiatric disorder for which current diagnostic and therapeutic approaches remain limited and predominantly symptom-oriented.Exercise,as a s...Methamphetamine(METH)addiction is a severe and increasingly prevalent neuropsychiatric disorder for which current diagnostic and therapeutic approaches remain limited and predominantly symptom-oriented.Exercise,as a safe,accessible and cost-effective non-pharmacological intervention,has emerged as a promising strategy to ameliorate METH-induced neurotoxicity and addiction-related behaviors.Growing evidence indicates that these benefits are closely linked to the regulation of exercise-induced biomarkers,defined as molecular indicators whose expression or activity is dynamically altered during or after physical activity.This review focuses on the core regulatory role of exercise-induced biomarkers in METH addiction and systematically summarizes their involvement in key neurobiological pathways,outlining molecular pathological mechanisms such as dysregulation of dopamine,glutamate and GABA neurotransmitter systems,neuroinflammation and oxidative stress,and epigenetic remodeling,and emphasizing how these processes converge on changes in candidate biomarkers in the brain and periphery.On this basis,the review describes how exercise modulates neural plasticity,neurotransmitter systems,inflammation and oxidative stress through biomarkers such as brain-derived neurotrophic factor(BDNF),exerkines,inflammatory cytokines,metabolites and noncoding RNAs,with particular attention to neurotrophic and immune-related markers,microRNAs and other epigenetic regulators that can reverse METH-induced synaptic and structural abnormalities and promote recovery of cognitive and emotional functions.Advances in high-throughput omics technologies,including transcriptomics,metabolomics and multi-omics integration,are summarized to illustrate the screening and identification of key exercise-responsive biomarkers.Studies in METH-addicted animal models have revealed differentially expressed genes,signaling pathways(e.g.,PI3K-Akt,mTOR,Wnt)and core nodes such as NFKBIA and CXCL12 that may mediate the protective effects of exercise.The review further discusses the potential of exercisemediated biomarkers as objective indicators for diagnosis,dynamic monitoring of therapeutic efficacy and patient stratification.Multi-gene diagnostic models based on peripheral samples(e.g.,hair follicles,blood)demonstrate how biomarker panels can distinguish non-recovered,almost-recovered and healthy individuals,providing a molecular basis for staging METH use disorder and evaluating the impact of exercise interventions.The temporal dynamics of biomarker changes before and after exercise are highlighted,underscoring the value of longitudinal monitoring of factors such as BDNF,immune-related genes and circulating microRNAs to capture treatment-relevant windows of plasticity.In addition,the underlying molecular basis of exercise as an adjunct therapy and gene-targeted exercise strategies that leverage individual biomarker and gene expression profiles to optimize exercise prescriptions are summarized.Current conceptual and technical challenges are outlined,including heterogeneity of biomarker responses,individual variability,assay sensitivity and specificity,and gaps between preclinical findings and clinical application,together with future directions for integrating exercise with multi-omics,artificial intelligence-assisted biomarker discovery and,prospectively,gene-editing-based interventions.Particular emphasis is placed on the need to standardize exercise protocols,incorporate stage-specific and sex-sensitive designs,and combine exercise with pharmacotherapy and psychosocial rehabilitation in real-world clinical settings across diverse healthcare systems.Overall,this review aims to provide a comprehensive and integrated mechanistic framework and updated theoretical support for the application of exercise-mediated biomarkers in the diagnosis,therapeutic effect monitoring and personalized intervention of METH addiction,and to offer new and clinically relevant insights into the development of precision medicine strategies for substance use disorders.展开更多
In December 2025,Australia became the first country to ban social media for people under 16,sparking a worldwide debate on how to protect teens online without undue interference.While the goal of keeping young people ...In December 2025,Australia became the first country to ban social media for people under 16,sparking a worldwide debate on how to protect teens online without undue interference.While the goal of keeping young people away from harmful content and addictive algorithms is wise,a total ban may be counterproductive.A better approach is to combine regulation,education and parental guidance.展开更多
This study examined the relationship between loneliness and mobile phone addiction(MPA),and the mediating roles of social anxiety and self presentation in that relationship.The sample comprised 559 students(male=250,f...This study examined the relationship between loneliness and mobile phone addiction(MPA),and the mediating roles of social anxiety and self presentation in that relationship.The sample comprised 559 students(male=250,female=309,mean age=20.78 years,SD=1.13 years).Based on bias-corrected bootstrap method,our indicate loneliness to be associated with MPA of college students.Additionally,social anxiety and self-presentation,respectively,partially mediated the association between loneliness and college students’MPA.Specifically,as loneliness increased,both social anxiety and self-presentation rose,thereby increasing MPA.Social anxiety and self-presentation also sequentially mediated the relationship between loneliness and MPA among college students,such that greater loneliness heightened social anxiety,which subsequently enhanced self-presentation,ultimately resulting in increased MPA.These findings are consistent with Compensatory Internet Use Theory(CIUT).This study findings suggest for college students counselling and development services should alleviate loneliness and social anxiety through group activities,Cognitive-behavioral Therapy(CBT),and social skills training to foster belonging and reduce students’reliance on mobile phones.展开更多
This systematic review synthesizes empirical research on external risk factors for adolescent smartphone addiction.Scopus and Web of Science were searched for English peer-reviewed empirical articles from 2008 onward;...This systematic review synthesizes empirical research on external risk factors for adolescent smartphone addiction.Scopus and Web of Science were searched for English peer-reviewed empirical articles from 2008 onward;28 met inclusion criteria(excluding non-adolescents,generic internet addiction,non-empirical work,or non-English).Thematic synthesis organized findings into three external risk domains—family,school,and peers—considering cultural/contextual mechanisms.Family dynamics(parental phubbing,harsh parenting,dysfunction),school stressors,and adverse peer relationships were identified as accumulating,direct and indirect contributors to smartphone addiction.These operate within a techno-ecological framework,where digital technologies amplify vulnerabilities and create new pathways for maladaptive use.Evidence favors an ecological,multi-level perspective.Future research should use longitudinal designs,standardize measures across cultures,and examine understudied regions—especially Africa—to guide culturally sensitive interventions.展开更多
Background:In the Chinese context,the impact of short video applications on the psychological well-being of older adults is contested.While often examined through a pathological lens of addiction,this perspective may ...Background:In the Chinese context,the impact of short video applications on the psychological well-being of older adults is contested.While often examined through a pathological lens of addiction,this perspective may overlook paradoxical,context-dependent positive outcomes.Therefore,the main objective of this study is to challenge the traditional Compensatory Internet Use Theory by proposing and testing a chained mediation model that explores a paradoxical pathway from social support to life satisfaction via problematic social media use.Methods:Data were collected between July and August 2025 via the Credamo online survey platform,yielding 384 valid responses from Chinese older adults aged 60 and above.Key constructs were assessed using the Social Support Rating Scale(SSRS),Bergen Social Media Addiction Scale(BSMAS),Simplified UCLA Loneliness Scale,and Satisfaction with Life Scale(SWLS).A chained mediation model was tested using stepwise regression and non-parametric bootstrapping(5000 resamples),controlling for age,gender,household income,and health status.Results:The analysis revealed a paradoxical pathway,which was clarified by a key statistical suppression effect.Social support significantly and positively predicted problematic usage(β=0.157,p=0.002).After controlling for the suppressor effect of social support,problematic usage in turn negatively predicted social connectedness(β=−0.177,p<0.001).Finally,reduced social connectedness—reflecting a state of solitude—positively predicted life satisfaction(β=−0.227,p<0.001).Conclusion:The findings suggest that for older adults with sufficient offline social support,these resources may serve a“social empowerment”function.This empowerment allows behaviors measured as“problematic usage”to be theoretically reframed as a form of“deep immersive entertainment”.This immersion appears to occur alongside a state of“high-quality solitude”,which ultimately is associated with higher life satisfaction.This study provides a novel,non-pathological theoretical perspective on the consequences of high engagement with emerging social media,offering empirical grounds for non-abstinence-based intervention strategies.展开更多
Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims ...Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims to validate the 21-item SocialNetwork Addiction Scale-Chinese(SNAS-C)in its Chinese version and to determine its optimal cutoff score for identifying potential SNA cases within the college student population.Methods:A crosssectional survey was conducted,recruiting 3387 college students.Latent profile analysis(LPA)and receiver operating characteristic(ROC)curve analysis were employed to establish the optimal cutoff score for the validated 21-item SNAS-C.Results:Three profile models were selected based on multiple statistical criteria,classifying participants into low-risk,moderate-risk,and high-risk groups.The highest-risk group was defined as“positive”for SNA,while the remaining groups were considered“negative”,serving as the reference standard for ROC analysis.The optimal cutoff score was determined to be 72(sensitivity:98.2%,specificity:96.86%),with an overall classification accuracy of 97.0%.The“positive”group reported significantly higher frequency of social network usage,greater digitalmedia dependence scores,and a higher incidence of network addiction.Conclusion:This study identified the optimal cutoff score for the SNAS-C as≥72,demonstrating high sensitivity,specificity,and diagnostic accuracy.This threshold effectively distinguishes between high-risk and low-risk SNA.展开更多
Objectives:The addiction of the student population to short-form video platforms such as TikTok(Douyin)is becoming increasingly apparent and is rapidly expanding.This emerging addiction is also believed to have negati...Objectives:The addiction of the student population to short-form video platforms such as TikTok(Douyin)is becoming increasingly apparent and is rapidly expanding.This emerging addiction is also believed to have negative impacts on students’academic,social,and emotional well-being.Consequently,video addiction has become an important public health issue on campuses around the world.Therefore,this study aimed to investigate the relationship between two types of TikTok addiction(video and live streaming)and social and emotional learning(SEL),including self-awareness,self-management,social awareness,relationship skills,and responsible decision-making.Methods:Previous research has indicated that some students at vocational colleges become addicted to short-form videos.Accordingly,this study employed a snowball sampling method to survey students at vocational institutions across China.A total of 563 valid responses were obtained,yielding an effective response rate of 84.66%.The mean age of participants was 20.20 years old(SD=1.36).Data were validated with structural equation modeling.Results:Results showed that both video content addiction and live-streaming content addiction negatively correlatedwith all five dimensions of SEL.This also represents that all 10 hypotheses are valid and significant at p<0.001.Theeffect sizes ranged from 0.48 to 0.54,which represents larger effect sizes.Notably,TikTok addiction showed the strongest explanatory power for self-awareness.This indicates that higher levels of addiction to either video or live-streaming content are associatedwith poorer performance across all facets of social and emotional learning,including self-awareness,emotion regulation,interpersonal relationships,sense of responsibility,and empathy.Conclusion:This study found that TikTok addicts entered a state of ego depletion due to impaired self-regulation.This depletion then caused their subsequent self-control efforts during learning to fail.Our results also support the ego depletion theory,which posits that engaging in self-regulatory behaviors consumes limited self-control resources and can trigger a range of complex cognitive,emotional,and behavioral problems.This result also draws attention to the negative consequences of excessive use of short videos for social awareness and emotional performance.展开更多
BACKGROUND The prevalence of addiction makes it a significant public health issue.Recently,transcranial magnetic stimulation(TMS)has garnered significant attention as a promising treatment for addiction.AIM To analyze...BACKGROUND The prevalence of addiction makes it a significant public health issue.Recently,transcranial magnetic stimulation(TMS)has garnered significant attention as a promising treatment for addiction.AIM To analyze development trends and research hotspots in TMS-based addiction treatment using a bibliometric approach.METHODS Articles on TMS-based addiction treatment from 2001 to 2023 were sourced from the Science Citation Index Expanded in the Web of Science Core Collection.CiteSpace software,VOSviewer,the"bibliometrix"R software package,and the bibliometric online analysis platform were used to analyze the current publication trends and hotspots.RESULTS Total 190 articles on TMS-based addiction treatment were identified,with clinical studies being the most prevalent.The United States led in both publication volume and international collaborations.Medical University of South Carolina and Zangen A were the most productive institution and author,respectively.Neurobiology,alcohol use disorder,and repetitive TMS were the most recent research hotspots.CONCLUSION Future research should focus on the neurobiological mechanisms underlying TMS-based addiction treatment.This study offers comprehensive insights and recommendations for advancing research on TMS-based addiction treatment.展开更多
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
Objectives:Short video addiction has emerged as a significant public health issue in recent years,with a growing trend toward severity.However,research on the causes and impacts of short video addiction remains limite...Objectives:Short video addiction has emerged as a significant public health issue in recent years,with a growing trend toward severity.However,research on the causes and impacts of short video addiction remains limited,and understanding of the variable“TikTok brain”is still in its infancy.Therefore,based on the Stimulus-Organism-Behavior-Consequence(SOBC)framework,we proposed six research hypotheses and constructed a model to explore the relationships between short video usage intensity,TikTok brain,short video addiction,and decreased attention control.Methods:Given that students are considered a high-risk group for excessive short video use,we collected 1086 valid participants from Chinese student users,including 609 males(56.1%)and 477 females(43.9%),with an average participant age of 19.84 years,to test the hypotheses.Results:(1)Short video usage intensity was positively related to short video addiction,TikTok brain,and decreased attention control;(2)TikTok brain was positively related to short video addiction and decreased attention control;and(3)Short video addiction was positively related to decreased attention control.Conclusions:These findings suggest that although excessive use of short video applications brings negative consequences,users still spend significant amounts of time on these platforms,indicating a need for strict self-regulation of usage time.展开更多
Persistent and maladaptive drug-related memories represent a key component in drug addiction.Converging evidence from both preclinical and clinical studies has demonstrated the potential efficacy of the memory reconso...Persistent and maladaptive drug-related memories represent a key component in drug addiction.Converging evidence from both preclinical and clinical studies has demonstrated the potential efficacy of the memory reconsolidation updating procedure(MRUP),a non-pharmacological strategy intertwining two distinct memory processes:reconsolidation and extinction—alternatively termed“the memory retrieval-extinction procedure”.This procedure presents a promising approach to attenuate,if not erase,entrenched drug memories and prevent relapse.The present review delineates the applications,molecular underpinnings,and operational boundaries of MRUP in the context of various forms of substance dependence.Furthermore,we critically examine the methodological limitations of MRUP,postulating potential refinement to optimize its therapeutic efficacy.In addition,we also look at the potential integration of MRUP and neurostimulation treatments in the domain of substance addiction.Overall,existing studies underscore the significant potential of MRUP,suggesting that interventions predicated on it could herald a promising avenue to enhance clinical outcomes in substance addiction therapy.展开更多
Drug addiction, a disorder characterized by chronic relapse and compulsive drug use, poses a significant threat to public safety and human health. Addictive substances can be categorized as natural, semi-synthetic, or...Drug addiction, a disorder characterized by chronic relapse and compulsive drug use, poses a significant threat to public safety and human health. Addictive substances can be categorized as natural, semi-synthetic, or synthetic based on their origin. Additionally, they can be classified into three groups according to their pharmacological targets: opioids, hallucinogens, and cannabinoids that act on G-protein-coupled receptors (GPCRs);alcohols, nicotine, ketamine, barbiturates, and benzodiazepines (BDZs) that affect ligand-gated ion channel-type receptors;and psychostimulants that interact with monoamine transporters. Current treatments for drug addiction primarily include substitution therapy and non-pharmacological approaches. However, these methods have limitations, particularly in addressing the underlying causes of relapse. Several drugs in clinical trials have demonstrated potential therapeutic effects for addiction to opioids, heroin, cocaine, and other substances. This review examines the origins and pharmacological mechanisms of addiction to naturally-derived psychoactive substances (NPS) and provides an overview of recent advancements in pharmacotherapy for drug addiction.展开更多
Addiction literacy equips older adults with the knowledge to navigate substance use risks amid unique challenges like polypharmacy and social isolation.With rising trends in cannabis use among this group,targeted educ...Addiction literacy equips older adults with the knowledge to navigate substance use risks amid unique challenges like polypharmacy and social isolation.With rising trends in cannabis use among this group,targeted education can promote safe practices and reduce preventable harms.By fostering open conversations and integrating addiction literacy into healthcare,providers can support informed decision-making.展开更多
Background Adolescents’subjective well-being(SWB)is strongly linked to mental health,academic achievement,social relationships,and quality of life,and is a key predictor of life outcomes in adulthood.Mental health an...Background Adolescents’subjective well-being(SWB)is strongly linked to mental health,academic achievement,social relationships,and quality of life,and is a key predictor of life outcomes in adulthood.Mental health and addictive behaviors are the two main factors influencing SWB.This study aimed to identify key mental health and addictive behavior factors associated with adolescent SWB through machine learning models.Methods The data for this study comes from the Health Behaviour in School-aged Children(HBSC)survey 2017/18.The study data contains health data from 60,450 adolescents aged 10–16 years.The study used the XGBoost machine learning model to analyze the impact of mental health and addictive behaviors on adolescent SWB.Gain was used to analyze the significance of the variables.The direction of action of the variables and the interaction between the variables were analyzed using the SHapley Additive exPlanations(SHAP)method.Results The model in this study has an accuracy of 86.7%and an AUC value of 0.85,showing its good predictive performance.Six key variables were filtered through Gain analysis.Feeling low and health as the two most important factors affecting SWB,with these two variables contributing 51.38%and 19.65%,respectively.Friends and thinking body as major factors influencing SWB in mental health.Smoking lifetime and sweets as major factors influencing SWB in addictive behaviors.The interactions and characteristic dependencies between these variables were further analyzed.The results showed that feeling low,friends,and sweets had a positive effect on SWB,while health and smoking lifetime showed a negative effect.In addition,a moderate thinking body contributes to SWB,whereas being too fat and too thin are both associated with decreased levels of SWB.Conclusion Mental health and addictive behavioral factors such as feeling low,friends,sweets,and smoking lifetime were significant factors influencing SWB.This provides a scientific basis for the development of public health policies and interventions aimed at enhancing adolescent well-being.展开更多
Objective:Large-scale CRISPR screens have identified essential genes across cancer cell lines,but links between tumor functional properties and specific dependencies require investigation to reveal the mechanisms unde...Objective:Large-scale CRISPR screens have identified essential genes across cancer cell lines,but links between tumor functional properties and specific dependencies require investigation to reveal the mechanisms underlying dependencies and broaden understanding of targeted therapy.Methods:We selected 47 breast cancer cell lines from the Cancer Cell Line Encyclopedia(CCLE)with multi-omics data including gene dependency;somatic mutations;copy number alterations;and transcriptomic,proteomic,metabolomic,and methylation data.We established a dependency marker association(DMA)analytic pipeline by using linear regression modeling to assess associations between 3,874 representative gene dependencies and multi-omics markers.Additionally,we conducted non-negative matrix factorization clustering,to stratify breast cancer cell lines according to gene dependency features,and investigated cluster-specific DMAs.Results:We interpreted valuable DMAs according to two primary aspects.First,dependencies associated with gain-of-function alterations revealed addiction to lactate transporter SLC16A3,thus suggesting a promising therapeutic target.Second,dependencies associated with loss-of-function alterations included synthetic lethality(SL),collateral SL,and prioritized metabolic SL,encompassing paralog SL(e.g.,IMPDH1 and IMPDH2),single pathway SL(e.g.,GFPT1 and UAP1),and alternative pathway SL(e.g.,GPI and PGD).DMA analysis of the two clusters with divergent dependency signatures demonstrated that cluster1 cell lines exhibited extensive metabolism with mitochondrial protein dependencies,whereas cluster2 displays enhanced cell signaling,and reliance on DNA replication and membrane organelle regulators.Conclusions:We established a DMA analysis pipeline linking the gene dependencies of breast cancer cell lines to multi-omics characteristics,thus elucidating the underpinnings of tumor dependencies and offering a valuable resource for developing novel precision treatment strategies incorporating relevant markers.展开更多
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
文摘Opioid crisis continues to gain ground in the United States with little regards to color or economic status.More than 800 people die weekly from opioid-related overdosestotally well over 42,000 deaths in 2016,and the number is rising.Surprisingly,the opioid overdose deaths involved an estimated 40%prescription opioid abuse.As reported by the National Drug Institute(2017),opioid addiction is often described as an“equal opportunity”problem that can afflict people from all races and walks of life.Unlike the crack crises of the past,the present opioid epidemic has extremely impacted White Americans not only the rural and poor,but also suburban and middle class or affluent.Further,current opioid overdoses deaths have increased for Whites,Blacks,and Hispanics,they have increased to a far greater degree for White Americans.Efforts to battle the increasing opioid epidemic have moved from incarceration to using legislation to limit the prescriptions being distributed.State and federal laws are being enacted to placing limitations on opioid prescriptions.
文摘Health professionals and mainly nurses must be kept updated on context conditions where populations they have in charge, since this is the only way to maintain communication with those vulnerable groups avoiding barriers, there are topics of difficult approach such as the use and abuse of substances in adolescents, and currently adolescents communicate through social networks. We aimed to determine the influence of social networks as a pedagogic strategy in adolescents’ health education. Method: Qualitative and descriptive study with phenomenological design. Fifteen informants from nursing career participated, and selected by convenience. Data collection was through a semi-structured interview composed of 5 questions directed to informants, regarding their experience to make an informative video about use and abuse in adolescents;questions were about their experiences, found difficulties and any other element related with the making of the video, its spread, the login and acceptance that the audiovisual material had in social networks by students and the management of information with preventive goals. All final products were incorporated to a link where group members, as well as the student community, could revise the video and make comments, maintain a chat with others, and so on, a dynamic session of presentations on questions and comments was done. An informed consent was signed. Collected qualitative data were analyzed according to De Souza Minayo. Results: Three categories emerged with nine sub-categories, Category 1: Influence of social networks on students, sub-categories: 1.1) Perception about addictions, 1.2) Expectation on attention to addictions, 1.3) As educational strategy. Category 2: Experiences of students with social networks, sub-categories: 2.1) Motivates creativity, 2.2) Rescue learned skills and add others, 2.3) Motivates empathy. Category 3: Use of social networks by nurse students, sub-categories: 3.1) Constraint in videos production, 3.2) Advantage for spread in social networks, 3.3) Favors health education. Conclusion: Social networks are accepted and used by adolescents, they represent a recommendable pedagogic strategy as a way to inform, health education and prevention of use and abuse of legal and illegal substances in vulnerable groups, it is easy to access and is a good working tool for health professionals to help in prevent of this public health issue, and to keep and reach wider coverage in health education.
基金supported by grants from The National Natural Science Foundation of China(82472611)The“14th Five Year Plan”Scientific Research and Innovation Team of Chengdu Sport University(23CXTD02)Sports Medicine Key Laboratory of Sichuan Province/Key Laboratory of Sports Medicine,General Administration of Sport of China(2025-A028)。
文摘Methamphetamine(METH)addiction is a severe and increasingly prevalent neuropsychiatric disorder for which current diagnostic and therapeutic approaches remain limited and predominantly symptom-oriented.Exercise,as a safe,accessible and cost-effective non-pharmacological intervention,has emerged as a promising strategy to ameliorate METH-induced neurotoxicity and addiction-related behaviors.Growing evidence indicates that these benefits are closely linked to the regulation of exercise-induced biomarkers,defined as molecular indicators whose expression or activity is dynamically altered during or after physical activity.This review focuses on the core regulatory role of exercise-induced biomarkers in METH addiction and systematically summarizes their involvement in key neurobiological pathways,outlining molecular pathological mechanisms such as dysregulation of dopamine,glutamate and GABA neurotransmitter systems,neuroinflammation and oxidative stress,and epigenetic remodeling,and emphasizing how these processes converge on changes in candidate biomarkers in the brain and periphery.On this basis,the review describes how exercise modulates neural plasticity,neurotransmitter systems,inflammation and oxidative stress through biomarkers such as brain-derived neurotrophic factor(BDNF),exerkines,inflammatory cytokines,metabolites and noncoding RNAs,with particular attention to neurotrophic and immune-related markers,microRNAs and other epigenetic regulators that can reverse METH-induced synaptic and structural abnormalities and promote recovery of cognitive and emotional functions.Advances in high-throughput omics technologies,including transcriptomics,metabolomics and multi-omics integration,are summarized to illustrate the screening and identification of key exercise-responsive biomarkers.Studies in METH-addicted animal models have revealed differentially expressed genes,signaling pathways(e.g.,PI3K-Akt,mTOR,Wnt)and core nodes such as NFKBIA and CXCL12 that may mediate the protective effects of exercise.The review further discusses the potential of exercisemediated biomarkers as objective indicators for diagnosis,dynamic monitoring of therapeutic efficacy and patient stratification.Multi-gene diagnostic models based on peripheral samples(e.g.,hair follicles,blood)demonstrate how biomarker panels can distinguish non-recovered,almost-recovered and healthy individuals,providing a molecular basis for staging METH use disorder and evaluating the impact of exercise interventions.The temporal dynamics of biomarker changes before and after exercise are highlighted,underscoring the value of longitudinal monitoring of factors such as BDNF,immune-related genes and circulating microRNAs to capture treatment-relevant windows of plasticity.In addition,the underlying molecular basis of exercise as an adjunct therapy and gene-targeted exercise strategies that leverage individual biomarker and gene expression profiles to optimize exercise prescriptions are summarized.Current conceptual and technical challenges are outlined,including heterogeneity of biomarker responses,individual variability,assay sensitivity and specificity,and gaps between preclinical findings and clinical application,together with future directions for integrating exercise with multi-omics,artificial intelligence-assisted biomarker discovery and,prospectively,gene-editing-based interventions.Particular emphasis is placed on the need to standardize exercise protocols,incorporate stage-specific and sex-sensitive designs,and combine exercise with pharmacotherapy and psychosocial rehabilitation in real-world clinical settings across diverse healthcare systems.Overall,this review aims to provide a comprehensive and integrated mechanistic framework and updated theoretical support for the application of exercise-mediated biomarkers in the diagnosis,therapeutic effect monitoring and personalized intervention of METH addiction,and to offer new and clinically relevant insights into the development of precision medicine strategies for substance use disorders.
文摘In December 2025,Australia became the first country to ban social media for people under 16,sparking a worldwide debate on how to protect teens online without undue interference.While the goal of keeping young people away from harmful content and addictive algorithms is wise,a total ban may be counterproductive.A better approach is to combine regulation,education and parental guidance.
基金supported by The Xingdian Talent Support Program Project(41112080006/015)Yunnan University Graduate Research Innovation Fund Project(KC-252512463).
文摘This study examined the relationship between loneliness and mobile phone addiction(MPA),and the mediating roles of social anxiety and self presentation in that relationship.The sample comprised 559 students(male=250,female=309,mean age=20.78 years,SD=1.13 years).Based on bias-corrected bootstrap method,our indicate loneliness to be associated with MPA of college students.Additionally,social anxiety and self-presentation,respectively,partially mediated the association between loneliness and college students’MPA.Specifically,as loneliness increased,both social anxiety and self-presentation rose,thereby increasing MPA.Social anxiety and self-presentation also sequentially mediated the relationship between loneliness and MPA among college students,such that greater loneliness heightened social anxiety,which subsequently enhanced self-presentation,ultimately resulting in increased MPA.These findings are consistent with Compensatory Internet Use Theory(CIUT).This study findings suggest for college students counselling and development services should alleviate loneliness and social anxiety through group activities,Cognitive-behavioral Therapy(CBT),and social skills training to foster belonging and reduce students’reliance on mobile phones.
基金supported by the 2025 Fujian Provincial Social Science Foundation Project(FJ2025C074).
文摘This systematic review synthesizes empirical research on external risk factors for adolescent smartphone addiction.Scopus and Web of Science were searched for English peer-reviewed empirical articles from 2008 onward;28 met inclusion criteria(excluding non-adolescents,generic internet addiction,non-empirical work,or non-English).Thematic synthesis organized findings into three external risk domains—family,school,and peers—considering cultural/contextual mechanisms.Family dynamics(parental phubbing,harsh parenting,dysfunction),school stressors,and adverse peer relationships were identified as accumulating,direct and indirect contributors to smartphone addiction.These operate within a techno-ecological framework,where digital technologies amplify vulnerabilities and create new pathways for maladaptive use.Evidence favors an ecological,multi-level perspective.Future research should use longitudinal designs,standardize measures across cultures,and examine understudied regions—especially Africa—to guide culturally sensitive interventions.
基金funded by the Guangxi Philosophy and Social Science Research Project,grant number 24XWC002.
文摘Background:In the Chinese context,the impact of short video applications on the psychological well-being of older adults is contested.While often examined through a pathological lens of addiction,this perspective may overlook paradoxical,context-dependent positive outcomes.Therefore,the main objective of this study is to challenge the traditional Compensatory Internet Use Theory by proposing and testing a chained mediation model that explores a paradoxical pathway from social support to life satisfaction via problematic social media use.Methods:Data were collected between July and August 2025 via the Credamo online survey platform,yielding 384 valid responses from Chinese older adults aged 60 and above.Key constructs were assessed using the Social Support Rating Scale(SSRS),Bergen Social Media Addiction Scale(BSMAS),Simplified UCLA Loneliness Scale,and Satisfaction with Life Scale(SWLS).A chained mediation model was tested using stepwise regression and non-parametric bootstrapping(5000 resamples),controlling for age,gender,household income,and health status.Results:The analysis revealed a paradoxical pathway,which was clarified by a key statistical suppression effect.Social support significantly and positively predicted problematic usage(β=0.157,p=0.002).After controlling for the suppressor effect of social support,problematic usage in turn negatively predicted social connectedness(β=−0.177,p<0.001).Finally,reduced social connectedness—reflecting a state of solitude—positively predicted life satisfaction(β=−0.227,p<0.001).Conclusion:The findings suggest that for older adults with sufficient offline social support,these resources may serve a“social empowerment”function.This empowerment allows behaviors measured as“problematic usage”to be theoretically reframed as a form of“deep immersive entertainment”.This immersion appears to occur alongside a state of“high-quality solitude”,which ultimately is associated with higher life satisfaction.This study provides a novel,non-pathological theoretical perspective on the consequences of high engagement with emerging social media,offering empirical grounds for non-abstinence-based intervention strategies.
基金supported by the National Natural Science Foundation of China(Grant No.72364006).
文摘Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims to validate the 21-item SocialNetwork Addiction Scale-Chinese(SNAS-C)in its Chinese version and to determine its optimal cutoff score for identifying potential SNA cases within the college student population.Methods:A crosssectional survey was conducted,recruiting 3387 college students.Latent profile analysis(LPA)and receiver operating characteristic(ROC)curve analysis were employed to establish the optimal cutoff score for the validated 21-item SNAS-C.Results:Three profile models were selected based on multiple statistical criteria,classifying participants into low-risk,moderate-risk,and high-risk groups.The highest-risk group was defined as“positive”for SNA,while the remaining groups were considered“negative”,serving as the reference standard for ROC analysis.The optimal cutoff score was determined to be 72(sensitivity:98.2%,specificity:96.86%),with an overall classification accuracy of 97.0%.The“positive”group reported significantly higher frequency of social network usage,greater digitalmedia dependence scores,and a higher incidence of network addiction.Conclusion:This study identified the optimal cutoff score for the SNAS-C as≥72,demonstrating high sensitivity,specificity,and diagnostic accuracy.This threshold effectively distinguishes between high-risk and low-risk SNA.
基金supported by the First-Class Education Discipline Development of Beijing Normal University(Grant Numbers:YLXKPY-XSDW202408,YLXKPY-ZYSB202201).
文摘Objectives:The addiction of the student population to short-form video platforms such as TikTok(Douyin)is becoming increasingly apparent and is rapidly expanding.This emerging addiction is also believed to have negative impacts on students’academic,social,and emotional well-being.Consequently,video addiction has become an important public health issue on campuses around the world.Therefore,this study aimed to investigate the relationship between two types of TikTok addiction(video and live streaming)and social and emotional learning(SEL),including self-awareness,self-management,social awareness,relationship skills,and responsible decision-making.Methods:Previous research has indicated that some students at vocational colleges become addicted to short-form videos.Accordingly,this study employed a snowball sampling method to survey students at vocational institutions across China.A total of 563 valid responses were obtained,yielding an effective response rate of 84.66%.The mean age of participants was 20.20 years old(SD=1.36).Data were validated with structural equation modeling.Results:Results showed that both video content addiction and live-streaming content addiction negatively correlatedwith all five dimensions of SEL.This also represents that all 10 hypotheses are valid and significant at p<0.001.Theeffect sizes ranged from 0.48 to 0.54,which represents larger effect sizes.Notably,TikTok addiction showed the strongest explanatory power for self-awareness.This indicates that higher levels of addiction to either video or live-streaming content are associatedwith poorer performance across all facets of social and emotional learning,including self-awareness,emotion regulation,interpersonal relationships,sense of responsibility,and empathy.Conclusion:This study found that TikTok addicts entered a state of ego depletion due to impaired self-regulation.This depletion then caused their subsequent self-control efforts during learning to fail.Our results also support the ego depletion theory,which posits that engaging in self-regulatory behaviors consumes limited self-control resources and can trigger a range of complex cognitive,emotional,and behavioral problems.This result also draws attention to the negative consequences of excessive use of short videos for social awareness and emotional performance.
基金Supported by National Natural Science Foundation of China,No.81973620Wenzhou Municipal Science and Technology Bureau,No.Y20220091.
文摘BACKGROUND The prevalence of addiction makes it a significant public health issue.Recently,transcranial magnetic stimulation(TMS)has garnered significant attention as a promising treatment for addiction.AIM To analyze development trends and research hotspots in TMS-based addiction treatment using a bibliometric approach.METHODS Articles on TMS-based addiction treatment from 2001 to 2023 were sourced from the Science Citation Index Expanded in the Web of Science Core Collection.CiteSpace software,VOSviewer,the"bibliometrix"R software package,and the bibliometric online analysis platform were used to analyze the current publication trends and hotspots.RESULTS Total 190 articles on TMS-based addiction treatment were identified,with clinical studies being the most prevalent.The United States led in both publication volume and international collaborations.Medical University of South Carolina and Zangen A were the most productive institution and author,respectively.Neurobiology,alcohol use disorder,and repetitive TMS were the most recent research hotspots.CONCLUSION Future research should focus on the neurobiological mechanisms underlying TMS-based addiction treatment.This study offers comprehensive insights and recommendations for advancing research on TMS-based addiction treatment.
基金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 International Joint Research Project of Huiyan International College,Faculty of Education,Beijing Normal University(Grant Number:ICER202102).
文摘Objectives:Short video addiction has emerged as a significant public health issue in recent years,with a growing trend toward severity.However,research on the causes and impacts of short video addiction remains limited,and understanding of the variable“TikTok brain”is still in its infancy.Therefore,based on the Stimulus-Organism-Behavior-Consequence(SOBC)framework,we proposed six research hypotheses and constructed a model to explore the relationships between short video usage intensity,TikTok brain,short video addiction,and decreased attention control.Methods:Given that students are considered a high-risk group for excessive short video use,we collected 1086 valid participants from Chinese student users,including 609 males(56.1%)and 477 females(43.9%),with an average participant age of 19.84 years,to test the hypotheses.Results:(1)Short video usage intensity was positively related to short video addiction,TikTok brain,and decreased attention control;(2)TikTok brain was positively related to short video addiction and decreased attention control;and(3)Short video addiction was positively related to decreased attention control.Conclusions:These findings suggest that although excessive use of short video applications brings negative consequences,users still spend significant amounts of time on these platforms,indicating a need for strict self-regulation of usage time.
基金supported by the National Natural Science Foundation of China(82071498,81871046,and 32161143022)STI2030-Major Projects(2022ZD0214500).
文摘Persistent and maladaptive drug-related memories represent a key component in drug addiction.Converging evidence from both preclinical and clinical studies has demonstrated the potential efficacy of the memory reconsolidation updating procedure(MRUP),a non-pharmacological strategy intertwining two distinct memory processes:reconsolidation and extinction—alternatively termed“the memory retrieval-extinction procedure”.This procedure presents a promising approach to attenuate,if not erase,entrenched drug memories and prevent relapse.The present review delineates the applications,molecular underpinnings,and operational boundaries of MRUP in the context of various forms of substance dependence.Furthermore,we critically examine the methodological limitations of MRUP,postulating potential refinement to optimize its therapeutic efficacy.In addition,we also look at the potential integration of MRUP and neurostimulation treatments in the domain of substance addiction.Overall,existing studies underscore the significant potential of MRUP,suggesting that interventions predicated on it could herald a promising avenue to enhance clinical outcomes in substance addiction therapy.
基金supported by the National Natural Science Foundation of China(No.82373836).
文摘Drug addiction, a disorder characterized by chronic relapse and compulsive drug use, poses a significant threat to public safety and human health. Addictive substances can be categorized as natural, semi-synthetic, or synthetic based on their origin. Additionally, they can be classified into three groups according to their pharmacological targets: opioids, hallucinogens, and cannabinoids that act on G-protein-coupled receptors (GPCRs);alcohols, nicotine, ketamine, barbiturates, and benzodiazepines (BDZs) that affect ligand-gated ion channel-type receptors;and psychostimulants that interact with monoamine transporters. Current treatments for drug addiction primarily include substitution therapy and non-pharmacological approaches. However, these methods have limitations, particularly in addressing the underlying causes of relapse. Several drugs in clinical trials have demonstrated potential therapeutic effects for addiction to opioids, heroin, cocaine, and other substances. This review examines the origins and pharmacological mechanisms of addiction to naturally-derived psychoactive substances (NPS) and provides an overview of recent advancements in pharmacotherapy for drug addiction.
基金Supported by FAPESP and Conselho Nacional de Desenvolvimento Cientifico e Tecnologico,No.2024/13209-0.
文摘Addiction literacy equips older adults with the knowledge to navigate substance use risks amid unique challenges like polypharmacy and social isolation.With rising trends in cannabis use among this group,targeted education can promote safe practices and reduce preventable harms.By fostering open conversations and integrating addiction literacy into healthcare,providers can support informed decision-making.
基金funded by the National Social Science Fund of China(GrantNo.24CTJ019).
文摘Background Adolescents’subjective well-being(SWB)is strongly linked to mental health,academic achievement,social relationships,and quality of life,and is a key predictor of life outcomes in adulthood.Mental health and addictive behaviors are the two main factors influencing SWB.This study aimed to identify key mental health and addictive behavior factors associated with adolescent SWB through machine learning models.Methods The data for this study comes from the Health Behaviour in School-aged Children(HBSC)survey 2017/18.The study data contains health data from 60,450 adolescents aged 10–16 years.The study used the XGBoost machine learning model to analyze the impact of mental health and addictive behaviors on adolescent SWB.Gain was used to analyze the significance of the variables.The direction of action of the variables and the interaction between the variables were analyzed using the SHapley Additive exPlanations(SHAP)method.Results The model in this study has an accuracy of 86.7%and an AUC value of 0.85,showing its good predictive performance.Six key variables were filtered through Gain analysis.Feeling low and health as the two most important factors affecting SWB,with these two variables contributing 51.38%and 19.65%,respectively.Friends and thinking body as major factors influencing SWB in mental health.Smoking lifetime and sweets as major factors influencing SWB in addictive behaviors.The interactions and characteristic dependencies between these variables were further analyzed.The results showed that feeling low,friends,and sweets had a positive effect on SWB,while health and smoking lifetime showed a negative effect.In addition,a moderate thinking body contributes to SWB,whereas being too fat and too thin are both associated with decreased levels of SWB.Conclusion Mental health and addictive behavioral factors such as feeling low,friends,sweets,and smoking lifetime were significant factors influencing SWB.This provides a scientific basis for the development of public health policies and interventions aimed at enhancing adolescent well-being.
基金supported by grants from the National Key Research and Development Project of China(Grant No.2020YFA0112304)the National Natural Science Foundation of China(Grant Nos.91959207 and 82202883).
文摘Objective:Large-scale CRISPR screens have identified essential genes across cancer cell lines,but links between tumor functional properties and specific dependencies require investigation to reveal the mechanisms underlying dependencies and broaden understanding of targeted therapy.Methods:We selected 47 breast cancer cell lines from the Cancer Cell Line Encyclopedia(CCLE)with multi-omics data including gene dependency;somatic mutations;copy number alterations;and transcriptomic,proteomic,metabolomic,and methylation data.We established a dependency marker association(DMA)analytic pipeline by using linear regression modeling to assess associations between 3,874 representative gene dependencies and multi-omics markers.Additionally,we conducted non-negative matrix factorization clustering,to stratify breast cancer cell lines according to gene dependency features,and investigated cluster-specific DMAs.Results:We interpreted valuable DMAs according to two primary aspects.First,dependencies associated with gain-of-function alterations revealed addiction to lactate transporter SLC16A3,thus suggesting a promising therapeutic target.Second,dependencies associated with loss-of-function alterations included synthetic lethality(SL),collateral SL,and prioritized metabolic SL,encompassing paralog SL(e.g.,IMPDH1 and IMPDH2),single pathway SL(e.g.,GFPT1 and UAP1),and alternative pathway SL(e.g.,GPI and PGD).DMA analysis of the two clusters with divergent dependency signatures demonstrated that cluster1 cell lines exhibited extensive metabolism with mitochondrial protein dependencies,whereas cluster2 displays enhanced cell signaling,and reliance on DNA replication and membrane organelle regulators.Conclusions:We established a DMA analysis pipeline linking the gene dependencies of breast cancer cell lines to multi-omics characteristics,thus elucidating the underpinnings of tumor dependencies and offering a valuable resource for developing novel precision treatment strategies incorporating relevant markers.
基金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.
