Computers in Human Behavior最新文献_第4页

When does waiting for a reply turn into ghosting? Individual, relational, and situational predictors of feeling ignored in online messaging 什么时候等待回复变成了“鬼影”？在线信息中被忽视感的个体、关系和情境预测因素

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-08-18 DOI: 10.1016/j.chb.2025.108774

Christiane M. Büttner , Sarah Lutz

{"title":"When does waiting for a reply turn into ghosting? Individual, relational, and situational predictors of feeling ignored in online messaging","authors":"Christiane M. Büttner , Sarah Lutz","doi":"10.1016/j.chb.2025.108774","DOIUrl":"10.1016/j.chb.2025.108774","url":null,"abstract":"<div><div>Ghosting—the act of ending digital communication without explanation—is increasingly common. While prior research has largely focused on the motives for ghosting and the effects of being ghosted, little is known about when people start to feel ghosted. Understanding this threshold matters to determine at which point delayed replies require coping efforts. We introduce the concept of response delay tolerance: the amount of time someone is willing to wait for a response in online messaging before feeling ignored. We examine how individual traits (rejection sensitivity, fear of missing out, past online exclusion experiences), relational (relationship closeness), and situational factors (chat partner's previous responsiveness, message urgency) shape delay tolerance. In a pre-registered two-part design, we first pretested (<em>N</em> = 98, <em>k</em> = 2352 ratings) closeness, responsiveness, and urgency in 36 chat scenarios. Then, participants (<em>N</em> = 339, <em>k</em> = 8136 ratings) reported the point at which they would begin to feel ignored in each scenario. Results show that both message urgency and chat partner's prior responsiveness, but not closeness, predict shorter delay tolerance. Rejection sensitivity, fear of missing out, and past online exclusion experiences did not predict delay tolerance. Individuals with shorter delay tolerance are more likely to send friendly <em>and</em> confrontational follow-up messages, whereas those with longer tolerance are more inclined to also ignore the chat partner. These findings provide insights into the early, subjective detection of being ignored in digital contexts. They highlight that ghosting begins not with someone leaving but with someone waiting for a response.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"172 ","pages":"Article 108774"},"PeriodicalIF":8.9,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Down the rabbit hole of sexting: How sexting behavior in dating applications influences social avoidance of people with social appearance anxiety via body surveillance and self-disillusionment 掉进色情短信的兔子洞：约会软件中的色情短信行为如何通过身体监控和自我幻灭影响社交外表焦虑者的社交回避

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-08-15 DOI: 10.1016/j.chb.2025.108773

Sihao Yang , Shengzhe Yang , Vincent Huang

{"title":"Down the rabbit hole of sexting: How sexting behavior in dating applications influences social avoidance of people with social appearance anxiety via body surveillance and self-disillusionment","authors":"Sihao Yang , Shengzhe Yang , Vincent Huang","doi":"10.1016/j.chb.2025.108773","DOIUrl":"10.1016/j.chb.2025.108773","url":null,"abstract":"<div><div>While prior research has noted that online dating can influence the well-being of psychologically vulnerable populations, the specific role of sexting in this context remains underexplored. Drawing on the social compensation and enhancement hypotheses, we established a serial mediation model to examine how the well-being of people with social appearance anxiety was influenced by sexting behavior in dating applications. Using data from an online survey of 451 Chinese adults, we highlighted the chain mediation effect of sexting in dating applications, body surveillance, and self-disillusionment on the positive relationship between social appearance anxiety and social avoidance (social enhancement route). However, the findings failed to show the significant and negative effect of sexting on self-disillusionment and social avoidance (social compensation route). This study extends the existing research on the social compensation and social enhancement effects of online dating into the specific realm of sexting. It contributes valuable insights into the risks of sexting and its detrimental effects on body image and well-being in modern dating contexts.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108773"},"PeriodicalIF":8.9,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting online group opinions: A hypergraph-enhanced structure deep clustering with LSTM 网络群体意见预测：基于LSTM的超图增强结构深度聚类

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-08-14 DOI: 10.1016/j.chb.2025.108770

Jiayu Liu , Qingsheng Liu , He Li , Wang Shen , Yongqiang Sun , Lu Yu , Linlin Zhu , Qianru Shi

{"title":"Predicting online group opinions: A hypergraph-enhanced structure deep clustering with LSTM","authors":"Jiayu Liu , Qingsheng Liu , He Li , Wang Shen , Yongqiang Sun , Lu Yu , Linlin Zhu , Qianru Shi","doi":"10.1016/j.chb.2025.108770","DOIUrl":"10.1016/j.chb.2025.108770","url":null,"abstract":"<div><div>Understanding how group opinions form, shift, and polarize in online networks is critical for maintaining healthy public discourse and addressing the psychological drivers of digital behavior. While recent advances in computational modeling have improved prediction, most methods rely on pairwise graph structures that fail to capture higher-order dynamics and lack integration with behavioral theory.</div><div>To bridge this gap, we propose a psychologically grounded deep learning framework that combines hypergraph-enhanced structural clustering (HG-SDCN) with long short-term memory (LSTM) networks. Guided by Bandura's triadic reciprocal determinism, we construct a cognitive feature set encompassing environmental context, individual cognition, and behavioral expression—framing social behavior as an emergent property of cognitive–environmental interaction.</div><div>The HG-SDCN module models complex group relations through hypergraph convolution and dual self-supervision, yielding improved group detection. Subsequently, LSTM is used to capture temporal sentiment trajectories, outperforming traditional ARIMA in predictive accuracy.</div><div>Beyond prediction, our model offers conceptual insights into the formation and evolution of digital group cognition. By fusing psychological theory with deep learning, this interdisciplinary framework informs the design of socially aware AI systems, platform governance strategies, and interventions to counter online polarization.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"172 ","pages":"Article 108770"},"PeriodicalIF":8.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risky loot box behaviors and gambling disorder among Chinese adult purchasers: A network analysis approach 中国成年购买者的冒险战利品盒行为与赌博障碍：一种网络分析方法

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-08-12 DOI: 10.1016/j.chb.2025.108771

Haofeng Ling , Shu M. Yu , Susana Jimenez‐Murcia , Hui Zhou , Hengyue Zhang , Ruimei Sun , Anise M. S. Wu

{"title":"Risky loot box behaviors and gambling disorder among Chinese adult purchasers: A network analysis approach","authors":"Haofeng Ling , Shu M. Yu , Susana Jimenez‐Murcia , Hui Zhou , Hengyue Zhang , Ruimei Sun , Anise M. S. Wu","doi":"10.1016/j.chb.2025.108771","DOIUrl":"10.1016/j.chb.2025.108771","url":null,"abstract":"<div><h3>Background</h3><div>The growing popularity of loot box has attracted increasing research attention regarding its potential risky use and associations with gambling symptomatology. The present study aimed to explore whether and how risky loot box behaviors are associated with the symptomatology of gambling disorder.</div></div><div><h3>Method</h3><div>A non-probability sample of 699 Chinese adults (52.1 % males; <em>M</em><sub><em>age</em></sub> = 29.30, <em>SD</em> = 7.83) voluntarily completed an online anonymous survey.</div></div><div><h3>Results</h3><div>Bivariate correlational analyses revealed significant positive associations of overall gambling disorder severity with risky loot box behaviors (<em>p</em> < 0.001). Network analysis further identified “Unsuccessful efforts to control gambling” as the most central symptom within the network, followed by “Relying on others for financial bailouts”. “Put off important activities to earn or buy loot box” was found to be the strongest bridge symptom, followed by “Compulsive loot box opening”. Significant gender difference was found in gambling disorder, but not with risky loot box behaviors. Network comparison test also revealed no gender differences in network structures.</div></div><div><h3>Conclusion</h3><div>The present research filled in the knowledge gap regarding symptomatic associations between risky loot box behaviors and gambling disorder. Its findings highlighted consistent positive associations between behavioral indicators of risky loot box use and gambling disorder severity, while network analysis identified inability to stop gambling and relying on others for financial bailout as the two most influential symptoms. Future loot box preventive measures will benefit from these insights, by improving self-control through educational workshops and facilitating responsible loot box purchasing.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108771"},"PeriodicalIF":8.9,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Delving into the psychology of Machines: Exploring the structure of self-regulated learning via LLM-generated survey responses 深入研究机器心理学：通过法学硕士生成的调查回应探索自我调节学习的结构

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-08-09 DOI: 10.1016/j.chb.2025.108769

Leonie V.D.E. Vogelsmeier , Eduardo Oliveira , Kamila Misiejuk , Sonsoles López-Pernas , Mohammed Saqr

{"title":"Delving into the psychology of Machines: Exploring the structure of self-regulated learning via LLM-generated survey responses","authors":"Leonie V.D.E. Vogelsmeier , Eduardo Oliveira , Kamila Misiejuk , Sonsoles López-Pernas , Mohammed Saqr","doi":"10.1016/j.chb.2025.108769","DOIUrl":"10.1016/j.chb.2025.108769","url":null,"abstract":"<div><div>Large language models (LLMs) offer the potential to simulate human-like responses and behaviors, creating new opportunities for psychological science. In the context of self-regulated learning (SRL), if LLMs can reliably simulate survey responses at scale and speed, they could be used to test intervention scenarios, refine theoretical models, augment sparse datasets, and represent hard-to-reach populations. However, the validity of LLM-generated survey responses remains uncertain, with limited research focused on SRL and existing studies beyond SRL yielding mixed results. Therefore, in this study, we examined LLM-generated responses to the 44-item Motivated Strategies for Learning Questionnaire (MSLQ; Pintrich & De Groot, 1990), a widely used instrument assessing students’ learning strategies and academic motivation. Particularly, we used the LLMs GPT-4o, Claude 3.7 Sonnet, Gemini 2 Flash, LLaMA 3.1–8B, and Mistral Large. We analyzed item distributions, the psychological network of the theoretical SRL dimensions, and psychometric validity based on the latent factor structure. Our results suggest that Gemini 2 Flash was the most promising LLM, showing considerable sampling variability and producing plausible underlying dimensions and theoretical relationships that are partly aligned with prior theory and empirical findings. At the same time, we observed discrepancies and limitations, underscoring both the potential and current constraints of using LLMs for simulating psychological survey data and applying it in educational contexts.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108769"},"PeriodicalIF":8.9,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Psychological consequences of school mobile phone bans: Emulated trial of a natural experiment in South Australia 学校禁止使用手机的心理后果：南澳大利亚自然实验的模拟试验

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-08-08 DOI: 10.1016/j.chb.2025.108767

Stéphanie Baggio , Tracey Wade , Marcela Radunz , Christina R. Galanis , Joël Billieux , Vladan Starcevic , Blake Quinney , Daniel L. King

{"title":"Psychological consequences of school mobile phone bans: Emulated trial of a natural experiment in South Australia","authors":"Stéphanie Baggio , Tracey Wade , Marcela Radunz , Christina R. Galanis , Joël Billieux , Vladan Starcevic , Blake Quinney , Daniel L. King","doi":"10.1016/j.chb.2025.108767","DOIUrl":"10.1016/j.chb.2025.108767","url":null,"abstract":"<div><h3>Background</h3><div>Evidence on the psychological effects of mobile phone bans policies in schools remains limited. This study estimated the effect of a mobile phone ban policy on adolescents’ 1) psychological distress and 2) mood.</div></div><div><h3>Methods</h3><div>We conducted a secondary analysis of a natural experiment using an emulated trial framework to examine the effects of a mobile phone ban implemented in Australian schools in 2023 (n = 1062). The exposure was a school-wide mobile phone ban (ban already implemented, ban not yet implemented). The primary outcome was psychological distress as measured by the Kessler Psychological Distress Scale (K10). Secondary outcomes included positive and negative affect assessed by a mood scale from the Programme for International Student Assessment. We performed adjusted linear regressions, using inverse probability of treatment weighting to balance the groups on pre-identified confounders.</div></div><div><h3>Results</h3><div>The phone ban was associated with reduced psychological distress (b = −0.94, p = .044, 95 % confidence interval [CI]: 1.85; −0.03) and negative affect (b = −0.62, p < .001, 95 % CI: 0.94; −0.29). No significant effect was found for positive affect (b = 0.27, p = .097, 95 % CI: 0.05; 0.59).</div></div><div><h3>Conclusions</h3><div>In this emulated trial of Australian secondary school students, the implementation of a mobile phone ban was associated with small but significant reductions in psychological distress and negative affect. Mobile phone bans in schools may thus have a beneficial effect on psychological well-being of adolescents. Given the modest effect sizes, such bans should be considered as one component of a comprehensive approach to supporting adolescent mental health in educational settings.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"172 ","pages":"Article 108767"},"PeriodicalIF":8.9,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144828200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rest assured: the influence of chatbots’ assurance statements and service outcome personalization on user data management 放心：聊天机器人的保证声明和服务结果个性化对用户数据管理的影响

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-08-08 DOI: 10.1016/j.chb.2025.108768

Joseph Ollier , Marcia Nißen , Florian von Wangenheim

{"title":"Rest assured: the influence of chatbots’ assurance statements and service outcome personalization on user data management","authors":"Joseph Ollier , Marcia Nißen , Florian von Wangenheim","doi":"10.1016/j.chb.2025.108768","DOIUrl":"10.1016/j.chb.2025.108768","url":null,"abstract":"<div><div>Data-driven services are becoming an ever more vital part of the business landscape, with chatbots an integral component of this change. Functioning as a longstanding barrier to the efficacy of personalized services, however, are user concerns surrounding data management that culminate in managerial challenges such as the Personalization-Privacy paradox (i.e., where informing users about data management practices in personalized services heightens privacy concerns and reduces willingness to disclose). In the current paper, across two experiments, we tackle this paradox by manipulating privacy assurance statements made by the chatbot (i.e., short statements at the start of the service interaction) inspired by Communication Privacy Management theory and service personalization (i.e., depth of medical diagnosis at the services conclusion). Using the Elaboration Likelihood Model as our core theoretical anchoring, we examine direct effects on user data management outcomes (privacy concerns, willingness to disclose) and collaboration with the chatbot (working alliance), as well as indirect effects via the mediator perceived information control to discern the activation of peripheral or central route to persuasion. Results show that when service personalization is low, privacy assurance statements activate the peripheral route as users make a surface assessment of their perceived degree of information control. When service personalization is high, however, they additionally activate the central route as users weigh the information delivered at the start of the service interaction with that delivered at the services conclusion. We support this theoretical rationale with calculations of direct, indirect, and conditional indirect effects alongside tests of equivalency.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"172 ","pages":"Article 108768"},"PeriodicalIF":8.9,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

When online review is not enough? Adoption of cryptocurrencies through the lenses of NCA and fsQCA 当在线评论还不够时？通过NCA和fsQCA的视角采用加密货币

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-08-08 DOI: 10.1016/j.chb.2025.108764

Dušan Mladenović , Mikhail Monashev , Michal Jirásek , Roberto Bruni

{"title":"When online review is not enough? Adoption of cryptocurrencies through the lenses of NCA and fsQCA","authors":"Dušan Mladenović , Mikhail Monashev , Michal Jirásek , Roberto Bruni","doi":"10.1016/j.chb.2025.108764","DOIUrl":"10.1016/j.chb.2025.108764","url":null,"abstract":"<div><div>The present study investigates the influence of electronic word-of-mouth (eWOM), particularly online reviews, on the adoption of a novel payment gateway – cryptocurrencies, an emerging financial technology gaining increasing traction among digital consumers. Instead of traditional correlational relations, the study looks at the relationship from alternative perspectives: necessity and configurational logic. The study tests its conceptual framework through Necessary Condition Analysis (NCA) and a fuzzy-set Qualitative Comparative Analysis (fsQCA). The dataset is based on a self-administered online questionnaire with 402 respondents recruited through a reputed online panel. The objective is to determine which eWOM components are necessary, and which combinations of them are sufficient, to influence consumers' behavioral intentions toward cryptocurrency use in e-commerce. The results indicate that when users face a small number of conflicting reviews, their intention to use crypto as a payment method diminishes. Hypothetically, plentiful and consistent reviews that either have a good argument quality or are two-sided (containing both positive and negative aspects), likely result in high intention to adopt cryptocurrencies. Findings contribute to a deeper understanding of eWOM's role in shaping technology adoption behavior, revealing that specific configurations (low review volume and inconsistency)—can undermine adoption intentions. This study represents an early exploration of how eWOM influences cryptocurrency adoption, offering insights that expand existing literature and highlight important theoretical and practical implications. It provides actionable recommendations for marketers, platforms, and policymakers aiming to encourage broader adoption of digital payment methods.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"172 ","pages":"Article 108764"},"PeriodicalIF":8.9,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144828691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of smartphone use characteristics underlying problematic smartphone use by dense longitudinal smartphone tracking 通过密集的智能手机纵向跟踪调查智能手机使用问题背后的智能手机使用特征

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-08-07 DOI: 10.1016/j.chb.2025.108766

Lea Wazulin , Matthias Jamin , Ionut Andone , Konrad Blaszkiewicz , Iris Reinhard , Mark Eibes , Robert Christian Wolf , Qais Kasem , Alexander Markowetz , Tagrid Leménager , Patrick Bach

{"title":"Investigation of smartphone use characteristics underlying problematic smartphone use by dense longitudinal smartphone tracking","authors":"Lea Wazulin , Matthias Jamin , Ionut Andone , Konrad Blaszkiewicz , Iris Reinhard , Mark Eibes , Robert Christian Wolf , Qais Kasem , Alexander Markowetz , Tagrid Leménager , Patrick Bach","doi":"10.1016/j.chb.2025.108766","DOIUrl":"10.1016/j.chb.2025.108766","url":null,"abstract":"<div><div>Growing evidence suggests problematic smartphone use can lead to impaired mental health and quality of life. We conducted a 60-day longitudinal smartphone tracking study using an app capturing daily smartphone use. 186 individuals were enrolled and classified as problematic (PSUs, n = 86) or unproblematic smartphone users (USUs, n = 100), based on the Smartphone Addiction Scale – Short Version (SAS-SV). Sociodemographic data, mental health and quality of life were assessed at baseline. Using linear mixed effects models (LMMs), primary analyses examined the effects of time, group (PSU vs. USU), gender, and time × group interactions on daily total smartphone and app category use i.e. communication, social and gaming apps. Overall, participants used their smartphones for 3.7 h per day, with higher daily use in PSUs (4.2 h) compared to USUs (3.3 h). These group differences were also present in daily use of communication and social apps, alongside a significant effect of gender on daily total use of any app (F<sub>(1,189)</sub> = 5.06, p = 0.026). Secondary gender-stratified analyses showed that male PSUs used their smartphones significantly more than USUs in both total (F<sub>(1,106.15)</sub> = 12.06, p < 0.001) and social app use (F<sub>(1,105.44)</sub> = 9.23, p = 0.003). In females, the only group difference found was in the communication app category, with higher daily use in PSUs (F<sub>(1,97.34)</sub> = 6.50, p = 0.012). Nevertheless, PSUs of both genders reported lower quality of life and higher levels of depressiveness at baseline, which significantly correlated with PSU severity (all r > 0.22, all p < 0.041).</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"173 ","pages":"Article 108766"},"PeriodicalIF":8.9,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144889810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing understanding of the role of the family media ecology on child anxiety and depression in middle childhood: What matters most? 促进对家庭媒体生态在儿童中期焦虑和抑郁中的作用的理解：什么最重要？

IF 8.9 1区心理学

Computers in Human Behavior Pub Date : 2025-08-06 DOI: 10.1016/j.chb.2025.108762

Rachel Eirich , Brae Anne McArthur , Audrey-Ann Deneault , Suzanne Tough , Sheri Madigan

{"title":"Advancing understanding of the role of the family media ecology on child anxiety and depression in middle childhood: What matters most?","authors":"Rachel Eirich , Brae Anne McArthur , Audrey-Ann Deneault , Suzanne Tough , Sheri Madigan","doi":"10.1016/j.chb.2025.108762","DOIUrl":"10.1016/j.chb.2025.108762","url":null,"abstract":"<div><div>Current research on digital devices and children's mental health often overlooks the broader family media ecology in favour of a monolithic measure of “screen time”. It remains unclear whether certain aspects of the family media ecology (i.e., device type, context, parental monitoring) are more consequential for children's mental health. To address this gap, this multi-informant study used a prospective cohort of 1140 children (48 % girls) and their mothers with data collected pre-pandemic (age 8) and during the pandemic (ages 9.7 and 10.4). Mothers completed questionnaires about their child's pre-pandemic anxiety and depression symptoms, as well as pandemic digital device use, awareness of their child's digital activities, household rules regarding devices, and their own technoference. Children reported on their pandemic anxiety and depression symptoms, device content (e.g., streaming, gaming) and contexts (e.g., solitary use, devices before bed), and their perceptions of maternal technoference. Regression models prospectively assessed child-reported depression and anxiety at age 10. After controlling for pre-pandemic anxiety and depression, screen time was associated with greater depression (<em>β</em> = 0.13, 95 % CI [0.05, 0.21]) and anxiety (<em>β</em> = 0.12, 95 % CI [0.04, 0.19]) symptoms. Child (but not mother-reported) maternal technoference was associated with increased child depression (<em>β</em> = 0.19, 95 % CI [0.12, 0.26]) and anxiety (<em>β</em> = 0.14, 95 % CI [0.07, 0.20]) symptoms. Text messaging was associated with increased anxiety symptoms, particularly for girls (<em>β</em> = 0.08, 95 % CI [0.02, 0.15]). These findings underscore the necessity of multi-faceted screen time metrics in research and involving diverse family perspectives in discussions about digital device use.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"172 ","pages":"Article 108762"},"PeriodicalIF":8.9,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144841730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0