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Online shopping addiction (OSA) is defined as a behavioral addiction where an individual exhibits an unhealthy and excessive attachment to shopping on the Internet. Since the OSA shown its adverse impacts on individuals' daily life and social functions, it is important to examine the neurobiological underpinnings of OSA that could be used in clinical practice to identify individuals with OSA. The present study addressed this question by employing a connectome-based prediction model approach to predict the OSA tendency of healthy subjects from whole-brain resting-state functional connectivity. The OSA connectome - a set of connections across multiple brain networks that contributed to predict individuals' OSA tendency was identified, including the functional connectivity between the frontal-parietal network (FPN) and cingulo-opercular network (CON) (i.e., positive network), as well as the functional connectivity within default mode network (DMN) and that between FPN and DMN (i.e., negative network). Key nodes that contributed to the prediction model included the middle frontal gyrus, inferior frontal gyrus, anterior cingulate cortex, and inferior temporal gyrus, which have been associated with impulsivity and emotional processing. Notably, this connectome has shown its specific role in predicting OSA by controlling for the influence of general Internet addiction. Moreover, the strength of the negative network mediated the relationship between OSA and impulsivity, highlighting that the negative network underlies the impulsivity characteristic of OSA. Together, these findings advanced our understanding of the neural correlates of OSA and provided a promising framework for diagnosing OSA.

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Objective: Online shopping has been described by the scientific literature both for its benefits and the potential risks when excessive usage is involved. Indeed, compulsive online shopping is commonly conceptualized as a potential behavioural addiction that substantially impacts the lives of individuals afflicted by it. In light of this, the present research aimed at exploring the association between possible risk and protective factors for compulsive online shopping, by specifically exploring the role of adult attachment, affect dysregulation, and dissociation. Method: 285 participants (75% females, 25% males; Mage = 31.57, SD = 11.379) were involved in the research and completed an online survey. The collected data was analysed implementing a path analysis model. Results: Results showed significant total effects in the relationship between secure/fearful attachment patterns and compulsive online shopping. Such associations were significantly mediated by the sequential effect of affect dysregulation and dissociation. Conclusions: The present study provides useful information to guide tailored interventions concerning both preventive activity and clinical practice.

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While immersive shopping has injected new vitality into China's e-commerce, it has also resulted in consumers' over-reliance on online shopping. Psychological studies have linked online shopping addiction with depression, but business practices challenge this conclusion. This study, grounded in addiction theory, developed a theoretical model, and conducted an online survey with 214 live-streaming shoppers using structural equation modeling for validation. The primary focus was on determining whether consumers truly become addicted to online shopping in the four stages of the addiction model. The study unveils the process of consumers becoming addicted to online shopping. It explores the moderating role of perceived risk in the relationship between utilitarian and hedonic purchases and online shopping addiction. The findings suggest that through tactics such as traffic promotion, traffic trapping, anchor feature utilization, and incorporation of consumer aesthetics, merchants may induce utilitarian and hedonic purchases, leading to addiction to live-streaming shopping among consumers. Furthermore, perceived risk significantly and negatively moderates the relationship between utilitarian purchases and online shopping addiction. Our research indicates that merchants intentionally create external stimuli, enticing consumers to indulge in online shopping, suggesting that online shopping addiction is not merely a simple psychological state but may be influenced by external factors. This study provides novel insights into the phenomenon of online shopping addiction while offering valuable recommendations for consumers seeking to avoid succumbing to its allure.

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Online shopping addiction is a behavior that creates serious problems and has become increasingly prevalent in modern society. When addressing online shopping addiction, the direct or indirect causes of individuals' shopping actions must be taken into consideration. The present study aims to examine the effects of self-control, financial attitude, depression, anxiety, and stress on online shopping addiction by determining online shopping addiction, self-control, and financial attitude levels of consumers. The sample of this study consists of 694 voluntarily participating consumers selected through convenience sampling methods from a city in Türkiye. Data were collected through Google Forms and uploaded to the SPSS 25.0 package program. During the research process, the relationship patterns between self-control, financial attitude, depression, anxiety, and stress on online shopping addiction were examined by using structural equation modeling. It was determined in this study that consumers have moderate levels of financial attitude and self-control, and low levels of online shopping addiction. Given the results related to the relationships and hypotheses between variables, anxiety, depression, and financial attitude were found to have statistically significant effects on online shopping addiction, whereas stress and self-control were found to not have a significant effect. Within the scope of this study, it was identified that anxiety and depression positively affect online shopping addiction, whereas financial attitude has a negative effect.

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Background: Although the correlation between substance use disorder and attention deficit hyperactivity disorder (ADHD) has been largely studied, less is known about the correlation between behavioral addictions and ADHD. Thus, the aim of the present study was to investigate the prevalence of behavioral addictions in a large sample of adult patients with a primary diagnosis of ADHD and to compare the clinical profile of ADHD patients with and without behavioral addictions comorbidity. Methods: 248 consecutive adults newly diagnosed as ADHD patients were assessed through a series of validated scales for gambling disorder, internet, sex, shopping and food addictions. ADHD patients with at least one comorbid behavioral addiction were compared to non-comorbid patients on ADHD symptoms, impulsivity, mood and anxiety symptoms and functional impairment. Results: 58.9% of patients had at least one behavioral addiction comorbidity. Of the whole sample, 31.9% of the patients had a comorbidity with one behavioral addiction while the 27% showed a comorbidity with two or more behavioral addictions. Internet addiction was the most common comorbidity (33.9%) followed by food addiction (28.6%), shopping addiction (19%), sex addiction (12.9%) and gambling disorder (3.6%). ADHD patients with comorbid behavioral addictions showed higher ADHD current and childhood symptoms, higher cognitive and motor impulsivity, higher mood and anxiety symptoms and higher functional impairment. Conclusions: Behavioral addictions are highly frequent in adult ADHD patients. Comorbid patients seem to have a more complex phenotype characterized by more severe ADHD, mood and anxiety symptoms, higher impulsivity levels and greater functional impairment.

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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.

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Online shopping addiction has surged among today's university students. Previous studies have focused on individual and network factors, whereas neglecting family-related roles. This study examined the relationship between subjective socioeconomic status (SSES) and university students' online shopping addiction (OSA) using the life course model of consumer behavior, and explored the chain-mediating role of vanity and materialism, and the moderating role of gender. We surveyed 635 students from two universities in Henan Province, China, using self-administered scales and questionnaires assessing subjective SES (SSES), OSA, materialism, and vanity. The results showed that SSES is negatively associated with OSA. Materialism played a mediating role, whereas vanity and vanity-materialism played a suppressing role between SSES and OSA. A direct relationship between SSES and OSA was found only in men, whereas the indirect path of SSES-vanity-materialism-OSA was found only in women. These results enable better recognition and understanding of the family's role, including family economic status, in university students' gender-specific OSA. They also advance the understanding of the transmission mechanism between family economic status and university students' OSA and promote better recognition and awareness of the family's role in university students' gender-specific OSA.

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The prevalence of buying/shopping disorder (B/SD) has been increasing in the last two decades, and this disorder has a substantial negative impact on general functioning and quality of life. Therefore, a systematic review of the studies dedicated to the efficacy and tolerability of therapeutic interventions, both psychological and pharmacological, might help clinicians to decide on the most evidence-based treatment for these patients. In order to further increase the clinical usefulness of the current review, GRADE-based recommendations were formulated, where enough evidence was found to support such an approach. A number of five electronic databases were searched for single case reports, case series, open-label and double-blind, placebo/active intervention-controlled trials, but other secondary reports (i.e., systematic reviews and meta-analyses) were also included in this analysis. Studies with unspecified designs or those that do not report either qualitatively or quantitively the evolution of B/SD core manifestations were excluded. All data included in the secondary analysis were evaluated using the Joanna Briggs Institute critical appraisal checklists. A total number of 24 manuscripts (i.e., 12 clinical trials, eight case reports, and four reviews) were included. Most of the reviewed studies were of moderate quality, representing a certain limitation of this review and preventing the formulation of high-validity recommendations. Psychotherapy, especially cognitive behavioral therapy (CBT) seems to be the main intervention supported by the current evidence, followed by the combination of antidepressants and CBT, and serotoninergic antidepressants as monotherapy. There is an obvious need to further develop good-quality trials with a more significant number of participants with B/SD and longer follow-up periods.

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Modern technology rewards constant engagement and discourages sparing use, opening the door to unhealthy use and even addiction. The technological addictions (TAs) are a newly described set of disorders that come with the technological advances that define the new era. Internet gaming disorder (IGD) is already codified as a proposed diagnosis in the 5th Edition of the Diagnostic and Statistical Manual (DSM-5) of the American Psychiatric Association. Others, such as social media addiction (SMA), are in the earlier stages of our understanding. This article provides an overview of the more common TAs including their evaluation and treatment techniques.

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Purpose of Review: The COVID-19 pandemic changed people's lifestyles and such changed lifestyles included the potential of increasing addictive behaviors. The present systematic review and meta-analysis aimed to estimate the prevalence of different behavioral addictions (i.e., internet addiction, smartphone addiction, gaming addiction, social media addiction, food addiction, exercise addiction, gambling addiction, and shopping addiction) both overall and separately. Recent Findings: Four databases (PubMed, Scopus, ISI Web of Knowledge, and ProQuest) were searched. Peer-reviewed papers published in English between December 2019 and July 2022 were reviewed and analyzed. Search terms were selected using PECO-S criteria: population (no limitation in participants' characteristics), exposure (COVID-19 pandemic), comparison (healthy populations), outcome (frequency or prevalence of behavioral addiction), and study design (observational study). A total of 94 studies with 237,657 participants from 40 different countries (mean age 25.02 years; 57.41% females). The overall prevalence of behavioral addiction irrespective of addiction type (after correcting for publication bias) was 11.1% (95% CI: 5.4 to 16.8%). The prevalence rates for each separate behavioral addiction (after correcting for publication bias) were 10.6% for internet addiction, 30.7% for smartphone addiction, 5.3% for gaming addiction, 15.1% for social media addiction, 21% for food addiction, 9.4% for sex addiction, 7% for exercise addiction, 7.2% for gambling addiction, and 7.2% for shopping addiction. In the lockdown periods, prevalence of food addiction, gaming addiction, and social media addiction was higher compared to non-lockdown periods. Smartphone and social media addiction was associated with methodological quality of studies (i.e., the higher the risk of boas, the higher the prevalence rate). Other associated factors of social media addiction were the percentage of female participants, mean age of participants, percentage of individuals using the internet in country, and developing status of country. The percentage of individuals in the population using the internet was associated with all the prevalence of behavioral addiction overall and the prevalence of sex addiction and gambling addiction. Gaming addiction prevalence was associated with data collection method (online vs. other methods) that is gaming addiction prevalence was much lower using online methods to collect the data. Summary: Behavioral addictions appeared to be potential health issues during the COVID-19 pandemic. Healthcare providers and government authorities should foster some campaigns that assist people in coping with stress during COVID-19 pandemics to prevent them from developing behavioral addictions during COVID-19 and subsequent pandemics. Supplementary Information: The online version contains supplementary material available at 10.1007/s40429-022-00435-6.

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PURPOSE OF REVIEW: Modern methods of communication and engagement, such as social media, video games, and online shopping, use a variety of behavioral techniques to encourage and reward frequent use, opening the door to addiction. The technological addictions (TAs) are a set of disorders that accompany the technological advances that define the digital age. The TAs are an active source of research in the literature, with promising treatment options already available. RECENT FINDINGS: There are promising therapeutic and psychopharmacologic treatments for a broad range of TAs. Stimulants, antidepressants, and cognitive therapies may all be effective for internet gaming disorder (IGD). Cognitive therapies may be effective for other TAs, such as social media addiction (SMA), online shopping addiction (OSA), and online porn addiction. Society's dependence on addictive technologies will only increase. Many of the TAs can be addressed with medication and therapy, with more research and literature developing at a rapid pace.

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The rapid expansion of e-commerce has made the buying experience faster, potentially anonymous, and without limits of space and time. While this may produce benefits, for some individuals, online shopping can become an addiction. Therefore, the present study aimed to explore the psychological factors that may be associated with Compulsive Online Shopping, with a specific focus on the role of Attachment Styles and Family Functioning patterns as risk or protective factors. The study involved a sample of 306 participants (Mage = 31.86 years, SD = 11.925) who filled out an online survey consisting of the Compulsive Online Shopping Scale, Relationship Questionnaire, Family Adaptability and Cohesion Evaluation Scales-IV, as well as a demographic questionnaire. The results showed two significant parallel mediation models. In the first one, Secure Attachment was negatively and significantly related to Compulsive Online Shopping, with the mediation of Cohesion and Enmeshed Family Functioning. In the second one, Fearful Attachment was positively and significantly related to Compulsive Online Shopping, with the mediation of Cohesion and Enmeshed Family Functioning. Important implications for preventive activity and tailored interventions may emerge from these data.

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There has been an increasing amount of research examining problematic shopping behavior (PSB), often referred to in the psychological literature as "compulsive buying" or "shopping addiction." A popular scale for assessing the risk of PSB is the seven-item Bergen Shopping Addiction Scale (BSAS). To expand our knowledge of the psychometric properties of this instrument, the present study employed Item Response Theory (IRT) and differential item functioning analyses (DIF) while concurrently attempting to determine a preliminary cut-off point. A relatively large community sample completed the BSAS online (N = 968, M age = 29.5 years, SD age = 9.36, 32.5% women). IRT analyses showed differences regarding the BSAS items' discrimination, difficulty, and precision, with a raw score exceeding 23 (out of 28) indicating a higher risk of shopping addiction. Finally, while most BSAS items operated equally among males and females, Item 2 (mood modification) required a higher level of shopping addiction behaviors to be endorsed by males. The BSAS functions as a reliable assessment of the risk of shopping addiction, particularly between average and high levels of the trait. Clinical implications are discussed in light of these findings.

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Background and aims: The current Covid-19 situation offers a natural experiment to explore the effect of a chronic stressor on compulsive buying tendencies over an extended period of time. Design: Survey method of sampling every three days a new cohort during the first six months of the Covid-19 pandemic (March-October 2020) in the United States. Participants: Total (clean) sample of N = 1,430 (39.3% female, mean age = 36.4 years). Measurements: Online and offline compulsive buying separately, distress, economic position, income and age were assessed. Findings: Both online and offline compulsive buying increased during the data collection period ( τ = 0.24, τ = 0.22, respectively, both P < 0.001). Individuals with self-reported high economic position (EP) reported the highest tendency for compulsive buying throughout the entire time frame, although the increase in compulsive buying tendencies over time was the most pronounced among the economically less privileged. Online compulsive buying increased after the CARES Act (first stimulus package) by an effect size of d = 0.33. When entered into a regression model, EP had the strongest effect on compulsive buying after accounting for the effect of distress, income and age. The high-EP group reported the strongest correlation between distress and compulsive buying (r = 0.67, P < 0.001, 95% CI: 0.57-0.76). Conclusions: Compulsive buying tendency gradually increased during the first six months of the Covid-19 pandemic especially after the CARES Act.

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Online shopping addiction tendency (OSAT) among college students has become too serious to ignore. As a result, it is necessary to carefully examine the relevant factors that shape students' online shopping addiction tendencies. This study aimed to determine whether social support mediates the relationship between college students' stress (academic hassle, personal hassle, and negative life events) and OSAT. In this cross-sectional study using a convenient sampling method, Chinese students from eight universities in Guangdong Province, China, completed self-administered questionnaires in either printed or online format. The survey data includes daily online shopping usage, college student stress, a social support rating scale, an online shopping addiction tendency scale for college students, and demographic information. A total number of verified and valid questionnaires were returned. In a sample of 1123 (mean age = 20.28 years; 58% females). Each individual had online shopping experience. The survey revealed no gender differences in OSAT. There was a statistically significant relationship between student stress (academic hassle, personal hassle, and negative life events) and students' OSAT scores and social support. The latter was negatively correlated with OSAT and mediated the relationship between college students' stress and their OSAT. In conclusion, university students' stress (academic hassle, personal hassle, and negative life events) acts as a trigger for OSAT. A combination of a high stress level and a lack of social support increases the likelihood of developing OSAT. Social support has an effect on the OSAT of college students by relieving their stress; social support is a protective factor against the OSAT for college students.

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AIMS: The increase in scientific interest in so-called behavioral addictions has been growing in recent years. For this reason, the aim of our study is to use bibliometric techniques to identify where and with what intensity these behaviors are being studied. METHODS: In October 2020, we conducted a search in the Web of Science Core Collection using a search equation designed to retrieve the articles that combine the general keywords of addiction with specific terms of the 7 groups of behavioral addictions analyzed (gambling; gaming; information and communication related disorders; and the so-called somatic addictions related to sex, shopping, food and sports). Articles published from 1995 to 2019 were included. RESULTS: We found 9199 distinct articles. Gambling was the most studied addiction, but Information and Technology Communication-related disorders (ITC) had the highest growth rate over the span of five five-year periods, followed by gaming and food addiction. In general, there was a growth rate of 130.46% in the research on behavioral addiction issues. By geographical region, the United States was the most productive country regarding all addictions, but Oceania had the highest proportion of publications per million population. There was a clear interest among Asian countries in studying problems related to ITC and gaming problems. CONCLUSIONS: The importance of the seven behavioral addictions analyzed according to their growth rate in scientific research fields over the last 25 years was confirmed in our study. In addition, the differences in interest by geographical region show us that it is important to delve deeper into cultural particularities to better understand this phenomenon.

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INTRODUCTION: Problematic Usage of the Internet (PUI) refers to a broad and likely heterogeneous group of Internet-related conditions associated with behavioural disturbances and functional impairment. METHODS: Within PUI several conditions have been reported, including Gaming Disorder, Shopping Addiction, Cyberchondria, Gambling Disorder, Cyberpornography Addiction and Cyberbullying. While increasing reports in the field try to define the epidemiologic and clinical boundaries of these conditions, the rapid and continuous evolution of Internet related behaviours as well as their problematic/pathological expressions are often difficult to diagnose, assess, approach with treatment interventions and follow-up. RESULTS: In addition, some of the PUI-related conditions show characteristics of addiction to the Internet as a preferential tool to engage in specific behaviours, while some others exclusively manifest on the Internet, making it necessary to find distinct assessment and treatment pathways. CONCLUSION: The inclusion of Internet Gaming Disorder in Section III by the DSM-5 and the recognition of Gaming Disorder by the ICD-11 opened the way for a systematic clinical investigation of this and other PUI-related conditions, particularly in terms of preventive and therapeutic strategies. The present article is aimed at offering an updated clinical overview on the main expressions of PUI, focussing on the latest acquisitions in this evolving field.

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PURPOSE: The COVID-19 pandemic that began in 2019 has had a significant impact on people's learning and their lives, including a significant increase in the incidence of academic procrastination and negative emotions. The topic of how negative emotions influences academic procrastination has been long debated, and previous research has revealed a significant relationship between the two. The purpose of this study was to further investigate the mediating and buffering effects of online-shopping addiction on academic procrastination and negative emotions. METHODS: The researchers conducted a correlation analysis followed by a mediation analysis and developed a mediation model. The study used stratified sampling and an online questionnaire as the data collection method. In this study, first, five freshmen students at vocational and technical colleges in Guangdong Province, China, were called to distribute the questionnaire. Second, after communicating with them individually, first-year students of Guangdong origin were selected as participants. Finally, 423 freshman students participated by completing the questionnaire. The questionnaire consisted of 4 parts: demographic information, an online-shopping-addiction scale, an academic-procrastination scale and a negative-emotions scale. A total of 423 students, 118 males (27.9%) and 305 females (72.1%) from 10 vocational and technical colleges in Guangdong were surveyed. SPSS 25.0 was used to process and analyze the data. The data collected were self-reported. RESULTS: The results showed that: first, academic procrastination was significantly and positively associated with online-shopping addiction (r = 0.176, p < 0.01). Second, academic procrastination was significantly and positively associated with negative emotions (r = 0.250, p < 0.01). Third, online-shopping addiction was significantly and positively associated with negative emotions (r = 0.358, p < 0.01). In addition, academic procrastination had a significant positive predictive effect on online-shopping addiction (ß = 0.1955, t = 3.6622, p < 0.001). Online-shopping addiction had a significant positive predictive effect on negative emotions (ß = 0.4324, t = 7.1437, p < 0.001). CONCLUSION: This study explored the relationship between students' academic procrastination, negative emotions, and online-shopping addiction during the COVID-19 pandemic. The results indicated that students' level of academic procrastination positively influenced their level of online-shopping addiction and negative emotions, and their level of online-shopping addiction increased their negative emotions. In addition, there was a mediating effect between the degree of participants' online-shopping addiction and their degree of academic procrastination and negative emotions during the pandemic. In other words, with the mediating effect of online-shopping addiction, the higher the level of a participant's academic procrastination, the more likely that the participant would have a high score for negative emotions.

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OBJECTIVES: To assess the association between disordered eating and bipolar disorder (BD). METHODS/DESIGN: A case-control study, conducted between April and September 2018, enrolled 50 patients and 50 controls. RESULTS: Higher eating attitude test scores were significantly associated with the presence of BD. This association remained after the introduction of other factors (marital status, family history of BD, shopping and gambling addictions, sleep quality, and insomnia severity) that were also associated with the presence of BD. PRACTICAL IMPLICATIONS: This study suggested that eating disorders are associated with BD type I, independent of mediating factors. Health care providers should consider pharmacological or psychotherapeutic interventions that could treat both syndromes sparingly.

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BACKGROUND AND AIMS: Buying-shopping disorder and its transferability to the online sector is controversial. This study investigates in-store and online shopping patterns by comparing data-based modeling to a diagnostic cut-off approach. Further aims were to test model equivalence for gender and identify socio-demographic risk factors. METHODS: In a representative survey, the Bergen Shopping Addiction Scale (BSAS) was applied, using both an online and in-store version. Latent class analyses were followed by multinomial logistic regression analyses to investigate socio-demographic variables. Measurement invariance across genders was tested with multi-group comparisons. RESULTS: With N = 1,012, 3-class solutions provided the best model fit for both in-store and online shopping. Most individuals (76, 86%) were grouped in non-addicted classes, followed by risky (21, 11%) and addicted classes (both 3%). Twenty-eight percent of individuals in the online addicted shopping class remained unidentified using the cut-off. For online shopping, only lower age and education differentiated classes significantly. DISCUSSION: Results indicate a close link between online and in-store shopping, albeit with distinguishing features. The cut-off yielded findings discrepant from class probabilities. That buying-shopping disorder mainly affects younger women of lower educational level must be questioned, given the limited associations identified. CONCLUSIONS: It is important not only to consider different settings of pathological shopping, but also to focus on groups that may not have appeared at risk in previous investigations (e.g., men, older age). The BSAS cut-off warrants further research.

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