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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.
Assuntos
Conectoma , Transtorno de Adição à Internet , Imageamento por Ressonância Magnética , Rede Nervosa , Humanos , Masculino , Adulto , Feminino , Transtorno de Adição à Internet/fisiopatologia , Transtorno de Adição à Internet/diagnóstico por imagem , Adulto Jovem , Rede Nervosa/diagnóstico por imagem , Rede Nervosa/fisiopatologia , Encéfalo/diagnóstico por imagem , Encéfalo/fisiopatologia , Rede de Modo Padrão/diagnóstico por imagem , Rede de Modo Padrão/fisiopatologia , Comportamento Aditivo/fisiopatologia , Comportamento Aditivo/diagnóstico por imagem , Vias Neurais/fisiopatologia , Vias Neurais/diagnóstico por imagemRESUMO
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.
Assuntos
Ansiedade , Depressão , Autocontrole , Estresse Psicológico , Humanos , Masculino , Feminino , Depressão/psicologia , Adulto , Ansiedade/psicologia , Estresse Psicológico/psicologia , Inquéritos e Questionários , Pessoa de Meia-Idade , Comportamento Aditivo/psicologia , Internet , Adulto Jovem , Comportamento do Consumidor/estatística & dados numéricos , Transtorno de Adição à Internet/psicologia , AdolescenteRESUMO
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 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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Transtorno de Adição à Internet , Classe Social , Feminino , Humanos , Masculino , Fatores Socioeconômicos , Estudantes , Universidades , ComércioRESUMO
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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Comportamento Aditivo , Jogos de Vídeo , Comportamento Aditivo/diagnóstico , Comportamento Aditivo/terapia , Manual Diagnóstico e Estatístico de Transtornos Mentais , Humanos , Internet , Recompensa , Dependência de Tecnologia , Jogos de Vídeo/psicologiaRESUMO
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.
Assuntos
Comportamento Aditivo , Mídias Sociais , Jogos de Vídeo , Comportamento Aditivo/terapia , Humanos , Internet , Recompensa , Dependência de TecnologiaRESUMO
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.
Assuntos
Apoio Social , Estudantes , Feminino , Humanos , Adulto Jovem , Adulto , Masculino , Estudos Transversais , China/epidemiologia , Fatores de ProteçãoRESUMO
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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We report the development and validation of a scale to measure online shopping addiction. Inspired by previous theories and research on behavioral addiction, the Griffiths's widely accepted six-factor component model was referred to and an 18-item scale was constructed, with each component measured by three items. The results of exploratory factor analysis, based on Sample 1 (999 college students) and confirmatory factor analysis, based on Sample 2 (854 college students) showed the Griffiths's substantive six-factor structure underlay the online shopping addiction scale. Cronbach's alpha suggested that the resulting scale was highly reliable. Concurrent validity, based on Sample 3 (328 college students), was also satisfactory as indicated by correlations between the scale and measures of similar constructs. Finally, self-perceived online shopping addiction can be predicted to a relatively high degree. The present 18-item scale is a solid theory-based instrument to empirically measure online shopping addiction and can be used for understanding the phenomena among young adults.
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PURPOSE: To examine the association between financial literacy and Problematic Internet Shopping in adults. METHODS: This cross-sectional online survey recruited participants, aged between 18 and 60 years, through an online research facility. The sample consisted of multinational participants from mainly three continents including Europe, North America, and Asia. Problematic Internet Shopping was assessed using the Bergen Shopping Addiction Scale (BSAS). Financial Literacy was measured by the Financial Literacy subscale of the Financial Wellbeing Questionnaire. Multiple linear regression analyses were conducted to elucidate the relationship between the study and outcome variables with adjustment for other potential risk factors. RESULTS: Of the total of 997 respondents with an average age of 30.9 (s.d. = 8.8), 135 (13.8%) could be classified as having a high risk of being Problematic Internet Shoppers. Results from the multiple regression analyses suggested a significant and negative relationship between financial literacy and Problematic Internet Shopping with a regression coefficient of - 0.13, after controlling for the effects of potential risk factors such as age, region of birth, employment, income, shopping frequency, self-regulation and anxiety (t = - 6.42, p < 0.001). CONCLUSIONS: The clinical management of PIS should include a financial counselling as a component of the treatment regime. Enhancement of financial literacy in the general population, particularly among young people, will likely have a positive effect on the occurrence of PIS.
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BACKGROUND: Compulsive and addictive forms of consumption and buying behaviour have been researched in both business and medical literature. Shopping enabled via the Internet now introduces new features to the shopping experience that translate to positive benefits for the shopper. Evidence now suggests that this new shopping experience may lead to problematic online shopping behaviour. This paper provides a theoretical review of the literature relevant to online shopping addiction (OSA). Based on this selective review, a conceptual model of OSA is presented. METHOD: The selective review of the literature draws on searches within databases relevant to both clinical and consumer behaviour literature including EBSCO, ABI Pro-Quest, Web of Science - Social Citations Index, Medline, PsycINFO and Pubmed. The article reviews current thinking on problematic, and specifically addictive, behaviour in relation to online shopping. RESULTS: The review of the literature enables the extension of existing knowledge into the Internet-context. A conceptual model of OSA is developed with theoretical support provided for the inclusion of 7 predictor variables: low self-esteem, low self-regulation; negative emotional state; enjoyment; female gender; social anonymity and cognitive overload. The construct of OSA is defined and six component criteria of OSA are proposed based on established technological addiction criteria. CONCLUSIONS: Current Internet-based shopping experiences may trigger problematic behaviours which can be classified on a spectrum which at the extreme end incorporates OSA. The development of a conceptual model provides a basis for the future measurement and testing of proposed predictor variables and the outcome variable OSA.