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This study examines digital health challenges among end-stage kidney disease (ESKD) patients, a population characterized by older age, lower socioeconomic status, and limited access to modern technologies. Drawing from the Mere Exposure Effect, the Technology Acceptance Model, and insights from doctor-patient communication literature, our study implemented a month-long intervention across three distinct groups. The Digital Media Exposure Group watched doctor-recommended videos on YouTube using a tablet PC twice weekly for four weeks. The Digital Media Exposure with Doctor-Patient Communication Group engaged in physician-led discussions about the viewed content during their medical visits in addition to the activities in the first group. The Control Group received printed medical information that mirrored the content of the videos. Participants in this study, all of whom were diagnosed with ESKD, were recruited from a university hospital in South Korea (n = 88, Mage = 64.8). Their perceptions, attitudes, and behavioral intentions regarding digital health care were measured and compared between groups. The results unveiled significant group differences [Wilk's Λ = 0.829, F(8, 164) = 2.02, p = 0.047, partial η2 = 0.090], with variations in attitudes, perceived ease of use, and intentions among groups, and effect sizes ranging from 0.069 to 0.096.These findings underscore the importance of tailored interventions to address digital health disparities, particularly among underserved demographic groups. Strategies that prioritize user-friendly interfaces and clear communication between doctors and patients are advocated to promote digital health engagement, ensuring equitable access and improved outcomes for patients with chronic disease.
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PURPOSE: Increasing concern has been raised on the addictive potential of digital games and socialmedia platforms, especially in adolescent users. Hence, investigating the etiology of problematic gaming (PG) and problematic social-media use (PSMU) is of great scientific and clinical interest. Parental factors have not been sufficiently addressed yet. Therefore, this study aims to investigate the predictive values of parental demographic, psychological, parenting, and role model factors for adolescent PG/PSMU. METHODS: In a representative parent-child (10-17 years) sample parental factors and adolescent PG/PSMU were assessed cross-sectionally (Ndyads = 1221) and longitudinally (Ndyads = 659) using online-questionnaires at two measurement points 14 months apart. Parental factors included parental media-use patterns, sociodemographic aspects, (digital) emotion regulation, stress perception, (digital) parental self-efficacy, and media rules. Best subset linear regression models were estimated to identify parental factors with greatest predictive values. These were included in prospective linear regression analyses. RESULTS: At the cross-sectional level, 18% of model variance predicting PG and 24% predicting PSMU could be explained by parental media-use patterns, media rules, and (digital) parental self-efficacy after controlling for adolescent age. Longitudinally, 33% of variance in the PG model and 34% of variance of the PSMU model could be explained by parental media-use patterns and parental self-efficacy after controlling for adolescent age and baseline PG/PSMU. DISCUSSION: This study is the first to differentially investigate parental factors in the context of adolescent PG/PSMU in a prospective representative parent-child study. Aspects of digital parental role modeling and parenting could be identified as promising anchors for prevention and treatment.
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BACKGROUND: Retrospecting the trust gaps and their dynamics during the pandemic is crucial for understanding the root causes of postpandemic challenges and offers valuable insights into preparing for future public health emergencies. The COVID-19 pandemic eroded people's trust in strangers and acquaintances, while their trust in family members remained relatively stable. This resulted in 2 trust gaps, namely, the family members-strangers trust gap and the family members-acquaintances trust gap. Widening trust gaps impede social integration and undermine the effective management of public health crises. However, little is known about how digital media use shaped trust gaps during a pandemic. OBJECTIVE: This study aims to investigate the relationships between digital media use, negative emotions, the family members-strangers trust gap, and the family members-acquaintances trust gap during the COVID-19 pandemic in China. We test the mediating role of negative emotions between digital media use and 2 trust gaps and compare the indirect effect of digital media use on 2 trust gaps through negative emotions. METHODS: A cross-sectional web-based survey was conducted in China between January 31, 2020, and February 9, 2020. A total of 1568 adults participated in the survey. Questions related to digital media use, negative emotions, trust in family members, trust in acquaintances, and trust in strangers during the pandemic were asked. Regression analyses were performed to test the associations between the examined variables. We used a 95% bootstrap CI approach to estimate the mediation effects. RESULTS: Digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), which in turn were positively associated with the family members-strangers trust gap (B=0.15, SE 0.03; P<.001). Likewise, digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), while negative emotions were positively associated with the family members-acquaintances trust gap (B=0.08, SE 0.03; P=.01). Moreover, the indirect effect of digital media use on the family members-strangers trust gap (B=0.03, SE 0.01; 95% CI 0.01-0.04) was stronger than that on the family members-acquaintances trust gap (B=0.01, SE 0.01; 95% CI 0.003-0.027). CONCLUSIONS: The results demonstrate that negative emotions resulting from the frequent use of digital media are a key factor that accounts for the widening trust gaps. Considering the increasing reliance on digital media, the findings indicate that the appropriate use of digital media can prevent the overamplification of negative emotions and curb the enlargement of trust gaps. This may help restore social trust and prepare for future public health crises in the postpandemic era.
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COVID-19 , Emotions , Pandemics , Trust , Humans , COVID-19/psychology , COVID-19/epidemiology , Trust/psychology , Cross-Sectional Studies , China/epidemiology , Adult , Male , Female , Family/psychology , Surveys and Questionnaires , Middle Aged , Social Media/statistics & numerical data , Young Adult , SARS-CoV-2 , InternetABSTRACT
INTRODUCTION: Psychotic-like experiences (PLEs) during adolescence can lead to psychotic disorders. Digital media usage has been suggested to link to PLEs, but research is limited on how different types of screen exposure may differentially relate to PLEs over time. This study aimed to examine longitudinal associations between screen usage patterns and PLEs in adolescents. METHODS: Participants comprised 11,876 adolescents assessed annually from ages 9-12 years as part of the Adolescent Brain Cognitive Development study (ABCD). Screen usage (TV, video games, online video, social media, texting, video chat) and PLEs were assessed via self-report. Longitudinal network analysis models were estimated to examine connections between screen usage types and PLEs across three time points. RESULTS: Two clusters were formed, including digital media for socializing (e.g., social media/texting/video chat) and digital media for entertainment (e.g., online video/video games/TV). Texting and online video(s) had the highest centrality at each time point, suggesting importance in the network. PLE symptoms of hallucinations and concentration difficulties exhibited higher centrality than other symptoms. Online video and TV were influential bridges between screen usage and PLEs. Network structure significantly differed between ages 9-10 and 10-12 years, but global strength was unchanged over time. DISCUSSION: Results highlight the importance of understanding the associations between specific screen usage types and PLE symptoms. Texting and online video usage appear most influential in the development of adolescent PLEs over time. Findings can inform targeted interventions to promote healthy screen habits and reduce PLEs in at-risk youth.
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Psychotic Disorders , Social Media , Video Games , Humans , Female , Male , Psychotic Disorders/psychology , Psychotic Disorders/epidemiology , Psychotic Disorders/diagnosis , Child , Social Media/statistics & numerical data , Video Games/psychology , Video Games/statistics & numerical data , Adolescent , Screen Time , Longitudinal Studies , Adolescent Behavior/psychology , Television/statistics & numerical dataABSTRACT
BACKGROUND: Despite the prominent role that digital media play in the lives and mental health of young people as well as in violent radicalization (VR) processes, empirical research aimed to investigate the association between Internet use, depressive symptoms and support for VR among young people is scant. We adopt a person-centered approach to investigate patterns of digital media use and their association with depressive symptoms and support for VR. METHODS: A sample of 2,324 Canadian young people (Mage = 30.10; SDage = 5.44 ; 59% women) responded to an online questionnaire. We used latent profile analysis to identify patterns of digital media use and linear regression to estimate the associations between class membership, depressive symptoms and support for VR. RESULTS: We identified four classes of individuals with regards to digital media use, named Average Internet Use/Institutional trust, Average internet use/Undifferentiated Trust, Limited Internet Use/Low Trust and Online Relational and Political Engagement/Social Media Trust. Linear regression indicated that individuals in the Online Relational and Political Engagement/Social Media Trust and Average Internet Use/Institutional trust profiles reported the highest and lowest scores of both depression and support for VR, respectively. CONCLUSIONS: It is essential to tailor prevention and intervention efforts to mitigate risks of VR to the specific needs and experiences of different groups in society, within a socio-ecological perspective. Prevention should consider both strengths and risks of digital media use and simulteaneously target both online and offline experiences and networks, with a focus on the sociopolitical and relational/emotional components of Internet use.
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Depression , Social Media , Humans , Female , Male , Depression/psychology , Adult , Canada , Social Media/statistics & numerical data , Internet Use/statistics & numerical data , Violence/psychology , Violence/statistics & numerical data , Young Adult , Surveys and Questionnaires , Adolescent , Trust/psychology , Internet/statistics & numerical data , North American PeopleABSTRACT
Behavior frequency measures in behavioral addictions research fail to account for how engagement in the activity relates to each respondent's personal circumstances. We propose a "Red Box, Green Box" method, an alternative to conventional self-report behavior questions. Participants report two distinct time-based values: (1) Green box: time spent engaged in the activity during 'free' time, and (2) Red box: engagement in the activity at times when the respondent should be doing something else (e.g., studying, working, sleeping, exercising, etc.). Some practical examples of the 'red box, green box' method are provided. This method may help to calibrate behavioral frequency for each respondent and yield clearer insights into displacement effects and risks associated with frequency of use. We suggest some future research directions to test the feasibility and utility of this approach in different implementations.
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Behavior, Addictive , Humans , Self Report , ExerciseABSTRACT
BACKGROUND: Intense or problematic media use behavior of parents could serve as a role model for their children's media use behavior. So far, knowledge is scarce about increased children's media use (ICMU) and its association with parental stress (PS) and problematic parental media use (PPMU). METHODS: ICMU was examined using a modified set of the DSM-5 criteria for Internet Gaming Disorder. PS was assessed via the widely used Parenting Stress Index, and PPMU was assessed using the Short Compulsive Internet Use Scale. A multiple linear regression analysis was conducted to evaluate the links between ICMU, PS, and PPMU. A mediation analysis was performed to examine if PPMU mediated the relationship between PS and ICMU. RESULTS: In sum, 809 parents (M = 36.89 years; SD = 4.87; 81.4% female) of preschool children (average age: 44.75 months, SD = 13.68) participated in the study. ICMU was statistically significantly related to higher age of the parent, greater PPMU, and higher PS. Furthermore, we found that the association between PS and ICMU was partially mediated by PPMU. CONCLUSIONS: The results indicate that more pronounced PS and PPMU are associated with ICMU, highlighting the necessity of considering these parental variables when developing early prevention strategies for preschool-age children.
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Background: Digital media-use disorders (DMUD) in adolescents are a rising phenomenon associated with psychological distress, comorbid mental disorders, and high burden on affected families. Since the ICD-11 introduced criteria for gaming disorder, these can now be transferred to describe additional DMUD associated with social media platforms and streaming services. Most evidence for effective treatments comes from cognitive-behavioral therapy (CBT). However, interventions based on theoretical models for adolescents and their parents are widely missing, leading to a significant clinical gap. Methods: Res@t digital (Resource-Strengthening Training for Adolescents with Problematic Digital-Media Use and their Parents) is the app-based translation of the first model-based digital intervention for adolescents with DMUD and their parents based on CBT. It comprises separate but content-related modules for adolescents (Res@t-A) and parents (Res@t-P), applying multimodal techniques. The effectiveness of Res@t will be evaluated within a multicenter cluster-randomized controlled evaluator-blinded pre-post follow-up trial with the waitlist control group (CG). In addition to the Res@t program in the intervention group, both groups will receive treatment as usual within primary child and adolescent psychiatric/psychotherapeutic healthcare. The primary outcome addresses DMUD symptom reduction after 10 weeks. Secondary outcomes are related to a reduction in psychological and family-related problems and an increase in parental self-efficacy. All outcomes will be assessed using standardized self-report measures. A total of 1,334 participating adolescent-parent dyads from a large clinical network throughout Germany are planned to be included in the primary analyses based on an intention-to-treat approach, applying linear mixed models. Discussion: Assuming superiority of Res@t over the control condition, the intervention has the potential to provide evidence-based treatment for a significant number of help-seeking families, supporting local healthcare structures and resources. It is a promising program for practicable implementation and flexible use in different settings. Clinical trial registration: https://drks.de, DRKS00031043.