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Comprehensive Psychiatry Jul 2024Theoretical frameworks of behavioral addictions mostly acknowledge the role of stress in the development and maintenance of these disorders, models of compulsive... (Review)
Review
INTRODUCTION
Theoretical frameworks of behavioral addictions mostly acknowledge the role of stress in the development and maintenance of these disorders, models of compulsive buying-shopping disorder (CBSD) however rarely incorporated stress. The association between stress and CBSD has not been reviewed yet.
METHODS
A scoping review was conducted to evaluate empirical results on the association between stress and CBSD. A comprehensive search string was employed in three databases.
RESULTS
16 studies were included. Correlative studies suggested significant correlations between general perceived stress and CBSD symptom severity. Studies involving mean comparisons found higher general perceived stress levels in persons with problematic buying-shopping behavior/CBSD compared to control participants (large effects). Mixed results were found in studies involving regression/structural equation models and ecological momentary assessments. One study with a stress/negative mood induction observed more CBSD symptoms in a high stress group compared to a low stress group.
DISCUSSION
The studies are heterogeneous concerning design, samples and measures. Only very few studies surpass the level of cross-sectional correlative data which limits the ability to draw clear conclusions. Future research should study the impact of experimentally induced stress on CBSD symptoms, examine the relationship between stress and CBSD longitudinally and assess objective stress markers.
Topics: Humans; Stress, Psychological; Compulsive Behavior; Behavior, Addictive
PubMed: 38603938
DOI: 10.1016/j.comppsych.2024.152482 -
Comprehensive Psychiatry Oct 2023Converging evidence supports that gaming and gambling disorders are associated with executive dysfunction. The involvement of different components of executive functions... (Review)
Review
BACKGROUND
Converging evidence supports that gaming and gambling disorders are associated with executive dysfunction. The involvement of different components of executive functions (EF) in these forms of behavioural addiction is unclear.
AIM
In a systematic review, we aim to uncover the association between working memory (WM), a crucial component of EF, and disordered gaming and gambling. Note that, in the context of this review, gaming has been used synonymously with video gaming.
METHODS
Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we systematically searched for studies published from 2012 onwards.
RESULTS
The search yielded 6081 records after removing duplicates, from which 17 peer-reviewed journal articles were eligible for inclusion. The association between WM and problem or disordered gaming and gambling have been categorized separately to observe possible differences. Essentially, problem gaming or gambling, compared to disorder, presents lesser severity and clinical significance. The results demonstrate reduced auditory-verbal WM in individuals with gambling disorder. Decreased WM capacity was also associated with problem gambling, with a correlation between problem gambling severity and decreased WM capacity. Similarly, gaming disorder was associated with decreased WM. Specifically, gaming disorder patients had lower WM capacity than the healthy controls.
CONCLUSION
Working memory seems to be a significant predictor of gambling and gaming disorders. Therefore, holistic treatment approaches that incorporate cognitive techniques that could enhance working memory may significantly boost gambling and gaming disorders treatment success.
Topics: Humans; Gambling; Memory, Short-Term; Cognition; Disruptive, Impulse Control, and Conduct Disorders; Video Games; Behavior, Addictive
PubMed: 37573802
DOI: 10.1016/j.comppsych.2023.152408 -
PloS One 2023This systematic review aimed to evaluate the association between smartphone addiction and sleep in medical students. The secondary outcomes included the prevalence of... (Meta-Analysis)
Meta-Analysis
OBJECTIVES
This systematic review aimed to evaluate the association between smartphone addiction and sleep in medical students. The secondary outcomes included the prevalence of smartphone addiction, duration and purpose of its use, prevalence of poor sleep, duration and quality of sleep.
METHODS
The authors searched PubMed, Cochrane Library, Embase, PsycINFO and CINAHL databases, from inception of each database to October 2022. Quantitative studies in the English language on smartphone addiction and sleep in students studying Western Medicine were included. The Rayyan application was used for title-abstract screening, and Joanna Briggs Institute (JBI) critical appraisal checklist to assess the risk of bias. Heterogeneity tests and meta-synthesis of data were performed using the meta-package in R software. Data on the activities used on the smartphone was synthesized qualitatively.
RESULTS
A total of 298 abstracts were initially assessed for inclusion eligibility: 16 of them were eventually appraised, covering 9466 medical students comprising 3781 (39.9%) males and 5161 (54.5%) females. Meta-correlation between the Smartphone Addiction Scale Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) was 0.30 (95%CI = 0.24-0.36), and 0.27 (95% CI = 0.18-0.36) for SAS-SV and sleep duration. The meta-analytic estimation of smartphone addiction prevalence was 39% (95%CI = 0.30-0.50), and score using SAS-SV was 31.11 (95%CI = 29.50-32.72). The mean duration of smartphone daily used was 4.90 hours (95%CI = 3.72-6.08). The meta-analytic estimation on prevalence of poor sleep was 57% (95%CI = 0.48-0.66), and the meta-mean of PSQI and duration of sleep was 5.95 (95%CI = 4.90-7.00) and 5.62h (95%CI = 4.87-6.36) respectively. Medical students used their smartphones mostly for text messaging, followed by photo-sharing or social networking. Its usage for medical education remains unclear.
CONCLUSION
The prevalence of poor sleep and smartphone addiction in medical students was 57% and 39% respectively, with a correlation index of 0.30. Medical students commonly used the smartphone for text-messaging, photo-sharing or social networking, averaging 4.9 hours daily.
Topics: Female; Male; Humans; Students, Medical; Internet Addiction Disorder; Sleep; Sleep Duration; Academies and Institutes
PubMed: 37713408
DOI: 10.1371/journal.pone.0290724 -
Biomedicine & Pharmacotherapy =... Jun 2024World Drug Report 2023 concluded that 296 million people abused drugs, 39.5 million became addiction and 494,000 died as a direct or indirect result of addiction.... (Review)
Review
World Drug Report 2023 concluded that 296 million people abused drugs, 39.5 million became addiction and 494,000 died as a direct or indirect result of addiction. Addiction has become a growing problem that affects individuals, their families, societies, countries and even the world. However, treatment for addiction is only limited to some developed countries because of the high cost, difficult implementation, and time consuming. Therefore, there is an urgent need to develop a low-cost, effective drug for the development of addiction treatment in more countries, which is essential for the stability and sustainable development of the world. In this review, it provided an overview of the abuse of common addictive drugs, related disorders, and current therapeutic regimen worldwide, and summarized the mechanisms of drug addiction as reward circuits, neuroadaptation and plasticity, cognitive decision-making, genetics, and environment. According to their chemical structure, 43 natural products and 5 herbal combinations with potential to treat addiction were classified, and their sources, pharmacological effects and clinical trials were introduced. It was also found that mitragine, ibogine, L-tetrahydropalmatine and crocin had greater potential for anti-addiction.
Topics: Humans; Substance-Related Disorders; Biological Products; Animals; Behavior, Addictive
PubMed: 38701568
DOI: 10.1016/j.biopha.2024.116687 -
Comprehensive Psychiatry Apr 2024Addictions have recently been classified as substance use disorder (SUD) and behavioral addiction (BA), but the concept of BA is still debatable. Therefore, it is...
Multimodal-based machine learning approach to classify features of internet gaming disorder and alcohol use disorder: A sensor-level and source-level resting-state electroencephalography activity and neuropsychological study.
OBJECTIVES
Addictions have recently been classified as substance use disorder (SUD) and behavioral addiction (BA), but the concept of BA is still debatable. Therefore, it is necessary to conduct further neuroscientific research to understand the mechanisms of BA to the same extent as SUD. The present study used machine learning (ML) algorithms to investigate the neuropsychological and neurophysiological aspects of addictions in individuals with internet gaming disorder (IGD) and alcohol use disorder (AUD).
METHODS
We developed three models for distinguishing individuals with IGD from those with AUD, individuals with IGD from healthy controls (HCs), and individuals with AUD from HCs using ML algorithms, including L1-norm support vector machine, random forest, and L1-norm logistic regression (LR). Three distinct feature sets were used for model training: a unimodal-electroencephalography (EEG) feature set combined with sensor- and source-level feature; a unimodal-neuropsychological feature (NF) set included sex, age, depression, anxiety, impulsivity, and general cognitive function, and a multimodal (EEG + NF) feature set.
RESULTS
The LR model with the multimodal feature set used for the classification of IGD and AUD outperformed the other models (accuracy: 0.712). The important features selected by the model highlighted that the IGD group had differential delta and beta source connectivity between right intrahemispheric regions and distinct sensor-level EEG activities. Among the NFs, sex and age were the important features for good model performance.
CONCLUSIONS
Using ML techniques, we demonstrated the neurophysiological and neuropsychological similarities and differences between IGD (a BA) and AUD (a SUD).
Topics: Humans; Alcoholism; Internet Addiction Disorder; Behavior, Addictive; Electroencephalography; Impulsive Behavior; Internet; Video Games; Brain; Magnetic Resonance Imaging
PubMed: 38335572
DOI: 10.1016/j.comppsych.2024.152460 -
International Journal of Environmental... Apr 2024Technological addiction refers to behavior characterized by excessive and prolonged use of technological devices; reactions of anger, frustration, or panic when unable...
Technological addiction refers to behavior characterized by excessive and prolonged use of technological devices; reactions of anger, frustration, or panic when unable to use them; and unsuccessful attempts to reduce the time spent on them [...].
Topics: Humans; Smartphone; Behavior, Addictive; Internet Addiction Disorder; Internet
PubMed: 38673347
DOI: 10.3390/ijerph21040436 -
BMC Psychiatry Oct 2023Internet gaming disorder (IGD) is a formal mental disorder leading to personal and social impairment. Although it shares similar physical and psychosocial effects to...
BACKGROUND
Internet gaming disorder (IGD) is a formal mental disorder leading to personal and social impairment. Although it shares similar physical and psychosocial effects to substance use disorder, the psychological mechanisms underlying IGD remain unclear, although several researches have made significant contributions to its understanding. This study aims to elucidate the correlation between IGD, impulsive personality and risk preference of medical college students in China, from a questionnaire-based investigation.
METHODS
Based on the cluster random sampling method, a questionnaire survey was conducted among medical college students in Northern Anhui, China from September 3 to October 27, 2020. The questionnaires included the Internet Gaming Disorder Scale (IGD-20), Chinese revised of Barratt Impulsiveness Scale Version 11 (BIS-11), and risk appetite index (RPI). Perform independent sample t-tests, analysis of variance (ANOVA), correlation analysis, and moderating effect analysis using SPSS 23.0. P < 0. 05 is considered statistically significant.
RESULTS
624 participants completed the survey, including 257 males (41.19%) and 367 females (58.81%). All participants were between 18 and 24 years. We found that in IGD and its six different dimensions and RPI, males scored significantly higher than females. Additionally, our finding revealed there is statistical significance in IGD and impulsiveness between gaming group with game time greater than or equal to 4 h and non-gaming group. The IGD and its six different dimensions, among which all except for mood modification are positively correlated with impulsiveness and RPI. Mediating effects indicate that RPI plays a partial mediating role between motor impulsiveness and IGD.
CONCLUSION
The findings shows that there is a certain relationship between impulsivity and RPI, as well as IGD and its dimensions. RPI may be a mediator between impulsivity and IGD, and men have higher IGD. The findings supported the compensatory hypothesis. These findings may contribute to further research and development of intervention and prevention measures for IGD.
Topics: Male; Female; Humans; Behavior, Addictive; Internet Addiction Disorder; Video Games; Impulsive Behavior; Students, Medical; Internet
PubMed: 37845703
DOI: 10.1186/s12888-023-05265-y -
BMC Psychiatry Dec 2023The relationships between fruit and vegetable consumption (FV) and Internet addiction (IA) in college students still remained unknown together with the internal...
Relationship between fruit and vegetable consumption and internet addiction with insomnia and depression as multiple mediators during the COVID-19 pandemic: a three-wave longitudinal study in Chinese college students.
BACKGROUND
The relationships between fruit and vegetable consumption (FV) and Internet addiction (IA) in college students still remained unknown together with the internal mechanisms. Given the limitations of previous cross-sectional design, longitudinal research was necessary to be conducted to explore more precise correlations. Using the three-wave data in a longitudinal design, this study aimed to explore the association between FV and IA among Chinese college students and potential multiple mediators of insomnia and depression during the COVID-19 pandemic.
METHODS
A total of 579 college students were recruited during three waves (T1: August 2020; T2: November 2020; T3: February 2021). FV (T1), insomnia (T2), depression (T2) and IA (T3) symptoms were reported. The descriptive statistics of the sociodemographic characteristics and correlation analyses of the study variables were calculated. The significance of the mediation effects was measured conducting a bootstrap method with SPSS PROCESS macro.
RESULTS
FV was negatively correlated with IA, and lower FV predicted higher risk of IA. Depression mediated the association between FV and subsequent IA. Insomnia and depression were multiple mediators, which in turn mediated the links between FV and subsequent IA.
CONCLUSIONS
The three-wave longitudinal study has revealed that FV had indirect effects on IA through individual mediating factor of depression and multiple mediating roles of insomnia and depression sequentially. The policy makers, educators and researchers should pay attention to the impact of the interventions from healthy diet, in order to optimize the coping strategies for preventing college students from IA.
Topics: Humans; Depression; Vegetables; Sleep Initiation and Maintenance Disorders; Fruit; Internet Addiction Disorder; Cross-Sectional Studies; Longitudinal Studies; Pandemics; COVID-19; Students; Internet; Behavior, Addictive
PubMed: 38093234
DOI: 10.1186/s12888-023-05415-2 -
Acta Psychologica Jul 2024Social media use (SMU) is a significant part of many people's everyday life. Research around the globe describes an increase of addictive SMU tendencies since the... (Review)
Review
Social media use (SMU) is a significant part of many people's everyday life. Research around the globe describes an increase of addictive SMU tendencies since the COVID-19 outbreak. The present work combines available findings in the "Vicious Circle of addictive Social Media Use and Mental Health" model to explain how social media (SM) activity can contribute to the development of addictive tendencies, which consequences they have for mental health, and how to prevent them. Following the model, the interplay between the risk factors negative experiences caused by daily hassles and by unexpected global and traumatic events, SMU (dimension "quality"), and SM flow can directly contribute to addictive SMU through the "vicious circle". Time spent on SMU (dimension "quantity"), symptoms of depression and anxiety, and the personality trait narcissism contribute to the circle as moderators. Symptoms of stress, insomnia, and suicide-related outcomes are described as potential consequences of addictive SMU. Based on longitudinal intervention studies, a conscious reduction of SMU time and an increase of physical activity, as well as positive mental health and mindfulness are identified as protective factors that reduce the risk of addictive tendencies. The model contributes to a better understanding of addictive SMU. Implications of the model for future research and praxis, specifically for mental health programs and therapeutic treatment are discussed.
Topics: Humans; COVID-19; Social Media; Behavior, Addictive; Mental Health; Models, Psychological; Internet Addiction Disorder; Anxiety
PubMed: 38735249
DOI: 10.1016/j.actpsy.2024.104306 -
Frontiers in Psychology 2023Shopping can provide a sense of satisfaction and pleasure; however, if a person's excessive involvement in this behavior starts to negatively impact other aspects of...
INTRODUCTION
Shopping can provide a sense of satisfaction and pleasure; however, if a person's excessive involvement in this behavior starts to negatively impact other aspects of their life, similar to other addictive behaviors like excessive internet use, gaming, and gambling, it may be classified as pathological. Given the lack of agreement regarding the classification of excessive shopping tendencies as a separate mental health condition or addictive behavior, taking a socio-emotional approach to explore the psychological factors that precede this behavior, may offer a better comprehension of it.
METHODS
The purpose of this study was to examine the relationship between attachment styles and excessive shopping behavior, as well as to investigate the potential mediating effect of defense mechanisms like splitting on this relationship. Using convenience sampling, a group of 457 stock market employees (116 female, 341 male) between the ages of 24 and 60 were recruited. The researchers utilized a set of validated psychological questionnaires to assess the employees attachment styles, shopping addiction, and splitting tendencies.
RESULTS
The results obtained from both the mediation model and path analysis suggest that attachment styles do not have a direct relationship with shopping addiction. Nonetheless, the study supports the impact of insecure anxious and avoidan attachment styles on splitting. Furthermore, the findings confirm that splitting has a mediating effect on the relationship between attachment styles and splitting.
DISCUSSION
The present study enhanced our comprehension of the subconscious mechanisms underlying shopping tendencies. Specifically, the findings suggest that excessive tendencies towards shopping can be considered a maladaptive response resulting from insecure attachment styles and the unconscious utilization of the splitting defense mechanism.
PubMed: 37854143
DOI: 10.3389/fpsyg.2023.1249591