Dataset Information

Expressions of Individualization on the Internet and Social Media: Multigenerational Focus Group Study.

ABSTRACT: BACKGROUND:Growing individualization within the past decades has been described as a fundamental shift in society. Studies have reported how the digital age promotes new forms of individualism with self-tracking technologies and self-presentation in social networks. Potential harmful effects on the mental health of young adults have already been at the forefront of research. However, 2 questions that remain unanswered are how emotional experiences and expressions of self-relatedness differ among generations in their usage of the internet and social media, and if an increasing individualism can be observed by this. OBJECTIVE:The aim of this study is to examine whether the use of the internet and social media has led people to be more concerned about themselves than former generations. The potential consequences of mental and emotional distress among different age groups are analyzed. METHODS:A focus-group approach was chosen to study the following age groups: Baby Boomers (those born in 1950-1965), Generation X (those born in 1966-1980), and Digital Natives (those born in 1981-2000). We organized 6 focus groups with 36 participants who discussed their private usage of the internet and social media, different devices, platforms and functions, communication behavior, and self-tracking. We applied inductive category formation and followed the Standards for Reporting Qualitative Research (SRQR) checklist. RESULTS:We found differences in the 3 studied generations regarding the reasons for their use of the internet and social media, the effects of this use, personal feelings and experiences, expressions of self-relatedness, and social relationships. The Baby Boomers voiced a wish to stay autonomous while being in contact with their personal network. Generation X included enthusiastic members who appreciate self-tracking for curiosity and fascination, as well as people who felt fears about data surveillance. The Digital Natives reported a wish to optimize their own body by self-tracking while being faced with norms and expectations that were communicated via the internet and social media. CONCLUSIONS:All generations expressed self-relatedness, yet by different means. The Baby Boomers expressed less individualism than Generation X and the Digital Natives, who felt the highest strain due to social comparisons. However, all generations reported specific, potentially problematic consequences for their mental health. Age-specific coping strategies are necessary to promote a mentally healthy way of using the internet and social media.

SUBMITTER: Mayer G

PROVIDER: S-EPMC7673976 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Expressions of Individualization on the Internet and Social Media: Multigenerational Focus Group Study.

Mayer Gwendolyn G Alvarez Simone S Gronewold Nadine N Schultz Jobst-Hendrik JH

Journal of medical Internet research 20201104 11

<h4>Background</h4>Growing individualization within the past decades has been described as a fundamental shift in society. Studies have reported how the digital age promotes new forms of individualism with self-tracking technologies and self-presentation in social networks. Potential harmful effects on the mental health of young adults have already been at the forefront of research. However, 2 questions that remain unanswered are how emotional experiences and expressions of self-relatedness diff ...[more]

PMID: 33146622

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Project description:BACKGROUND:Youth experiencing homelessness are at a risk for a variety of adverse outcomes. Given the widespread use of the internet and social media, these new technologies may be used to address their needs and for outreach purposes. However, little is known about how this group uses these resources. OBJECTIVE:This study investigated how homeless adolescents use these technologies for general and health-related purposes, whether the scope of their use changes with housing status, and their interest in a website dedicated to youth experiencing homelessness. METHODS:A convenience sample of youth aged 18 to 21 years was recruited from a youth-specific homeless shelter. All participants completed a 47-item survey, with 10 individuals completing a semistructured interview. Descriptive statistics, exact testing, logistic regression, and generalized estimating equation modeling was performed for quantitative data analysis. Interviews were transcribed verbatim, and NVivo 10 (QSR International) was employed to facilitate double coding and thematic analysis. RESULTS:A total of 87 participants completed the survey with a mean age of 19.4 (SD 1.1) years. While experiencing homelessness, 56% (49/87) accessed the internet at least once a day, with 86% (75/87) accessing once a week. Access to a smartphone was associated with a 3.03 greater odds of accessing the internet and was the most frequently used device (66% of participants, 57/87). While experiencing homelessness, subjects reported a 68% decreased odds in internet access frequency (odds ratio [OR] 0.32, P<.001), 75% decreased odds in spending greater amounts of time on the internet (OR 0.25, P<.001), and an 87% decreased odds of social media use (OR 0.13, P=.01). Ten participants completed the semistructured interview. Several themes were identified, including (1) changes in internet behaviors while experiencing homelessness, (2) health status as a major concern and reason for Internet use, and (3) interest in a website dedicated to youth experiencing homelessness. While experiencing homelessness, participants indicated their behaviors were more goal-oriented and less focused on leisure or entertainment activities. CONCLUSIONS:While homeless youth experience changes in the frequency, amount of time, and specific uses of the internet and social media, study participants were able to access the internet regularly. The internet was used to search health-related topics. Given the importance of smartphones in accessing the internet, mobile-optimized websites may be an effective method for reaching this group.

Project description:BackgroundDigital technology use is nearly ubiquitous among young adults; this use provides both benefits and risks. The risks of technology use include maladaptive technology use or technology addiction. Several conceptualizations of these addictions have emerged, each with its own assessment tools. These conditions include problematic internet use (PIU), internet gaming disorder (IGD), and social media addiction (SMA). These conditions have been associated with health outcomes such as problematic alcohol use, sleep disorders, and mental illness. These maladaptive technology conditions have been most commonly studied in isolation from each other.ObjectiveThe aim of this study is to examine PIU, IGD, and SMA together to better inform future research approaches and provider screening practices for young adults.MethodsThis cross-sectional survey study was conducted using Qualtrics panel-based recruitment and survey hosting. We recruited US young adults aged 18-25 years. The survey assessed PIU, IGD, and SMA. Survey measures also included assessments of problematic alcohol use, sleep, depression, and anxiety. We evaluated the frequency of and overlap in positive screening scores among PIU, IGD, and SMA and modeled each condition using multivariate logistic regression. Finally, we calculated sensitivity and specificity, as well as the positive predictive value and negative predictive value of the screening tools using the most prevalent maladaptive technology type.ResultsOur 6000 participants had an average age of 21.7 (SD 2.5) years. Of these 6000 participants, 3062 (51.03%) were female, 3431 (57.18%) were Caucasian, 1686 (28.1%) were in a 4-year college program, and 2319 (38.65%) worked full time. The mean PIU score was 3.5 (SD 3.1), and 53.58% (3215/6000) of participants met the criteria for PIU. The mean IGD score was 2.7 (SD 2.6), and 24.33% (1460/6000) of participants met the criteria for IGD. The mean SMA score was 7.5 (SD 5.7), and 3.42% (205/6000) met the criteria for SMA. Across all 3 maladaptive technology use diagnoses, there were varied associations with demographic variables and similar overlap with health outcomes. The sensitivity of PIU screening to detect IGD was 82% and to detect SMA was 93%, whereas the specificity and positive predictive value were much lower (37%-54% specificity; 6%-37% positive predictive value).ConclusionsThis cross-sectional survey screened a large national sample of adolescents and young adults for PIU, IGD, and SMA to determine prevalence and overlap, demographic associations with each, and associations between these technology-related conditions and health outcomes. There was overlap across PIU, IGD, and SMA in some associated demographic variables and health outcomes. However, the patterns in the associated variables demonstrated unique qualities of each of these conditions.

Project description:BackgroundParticipation in organized sports and other forms of active living have important health benefits in adolescence and adulthood. Unfortunately, the transition to secondary school has been shown to be a barrier to participation. Social networks can play important roles in activating adolescents, and information and communication technology (ICT) interventions can augment this role. To date, there are few insights into what adolescents themselves think and feel about barriers to and motivators for active living, the role of their social networks in active living, and the potential of ICT for physical activity (PA).ObjectiveThis study aimed to gather insights into the perspectives of adolescents aged 12 to 14 years on active living and sports participation, motivators and demotivators for active living, and the potential roles of their social network and of ICT.MethodsA total of 26 adolescents aged 12 to 14 years from different levels of Dutch secondary schools participated in 1 of 5 semistructured focus group interviews, in which they talked about sports and PA, their social networks, their ICT use, and the role of social networks and ICT in PA. All interviews were transcribed and analyzed using a thematic qualitative approach.ResultsThe study showed that all participants were physically active, although the transition to secondary school made this difficult, mostly because of time constraints. Participants saw positive physical and mental health effects as important benefits of active living. They regarded social benefits as strong motivators for active living: being together, making friends, and having fun together. However, the social network could also demotivate through negative peer judgment and negative feedback. Participants were willing to share their own positive experiences and hear about those from close peers and friends but would not share their own (and were not interested in others') negative experiences or personal information. Participants were mainly interested in descriptive norms set by others and obtained inspiration from others for PA. With respect to using ICT for active living, participants stated a preference for social challenges among friends, personalized feedback, goals, activities, and rewards. Competition was seen as less important or even unattractive. If mentioned, participants felt that this should be with friends, or peers of a similar level, with fun being more important than the competition itself.ConclusionsThis study shows that adolescents feel that their social network is and can be a strong driver of active living. They are willing to use ICT-based solutions that make use of social networks for PA as long as these solutions involve their current (close) network and use an approach based on being together and having fun together.

Project description:BackgroundProblem-based learning (PBL) is classified as a collaborative learning approach, wherein students learn while contributing meaning to experiences and interactions with others. An important theoretical fundament of PBL is social interdependence theory (SIT) because positive social interdependence within a group has been found to be key to better learning performance and future attitudes towards team practice. However, most previous studies in health professions education focused on cognitive outcomes, and few studies have focused on collaborative behaviors in PBL groups. The lack of this empirical insight makes implementation of PBL difficult, especially in contexts where there is limited experience with collaborative learning. Therefore, the aim of this study was to elucidate what promotes or hinders positive social interdependence and how the attributes work during PBL.MethodsWe conducted four focus groups among clinical year medical students (n = 26) who participated in PBL tutorials in the formal curriculum. We asked semi-structured questions that corresponded with the overall concept of SIT. We analyzed the transcript using constructivist grounded theory and developed a model to explain contextual attributes that promote or hinder positive social interdependence in PBL.ResultsTwo contextual attributes of "academic inquisition" and "desire for efficiency" affect social interdependence among a student group in PBL. Academic inquisition is students' desire to engage in their academic learning, and desire for efficiency is students' attitude toward learning as an imposed duty and desire to complete it as quickly as possible. These attributes are initially mutually conflicting and constructing social interdependence through multiple steps including inquisition from a case, seeking efficient work, sharing interest in problem solving, expecting mutual contributions, and complementing learning objectives.ConclusionThese findings will contribute to understanding collaborative learning environments in PBL and may help explain contexts where PBL is less successful. The model can also be used as a tool to support innovation of PBL as collaborative learning.

Project description:BackgroundStudents in sub-Saharan African countries experienced online classes for the first time during the COVID-19 pandemic. For some individuals, greater online engagement can lead to online dependency, which can be associated with depression. The present study explored the association between problematic use of the internet, social media, and smartphones with depression symptoms among Ugandan medical students.MethodsA pilot study was conducted among 269 medical students at a Ugandan public university. Using a survey, data were collected regarding socio-demographic factors, lifestyle, online use behaviors, smartphone addiction, social media addiction, and internet addiction. Hierarchical linear regression models were performed to explore the associations of different forms of online addiction with depression symptom severity.ResultsThe findings indicated that 16.73% of the medical students had moderate to severe depression symptoms. The prevalence of being at risk of (i) smartphone addiction was 45.72%, (ii) social media addiction was 74.34%, and (iii) internet addiction use was 8.55%. Online use behaviors (e.g., average hours spent online, types of social media platforms used, the purpose for internet use) and online-related addictions (to smartphones, social media, and the internet) predicted approximately 8% and 10% of the severity of depression symptoms, respectively. However, over the past two weeks, life stressors had the highest predictability for depression (35.9%). The final model predicted a total of 51.9% variance for depression symptoms. In the final model, romantic relationship problems (ß = 2.30, S.E = 0.58; p<0.01) and academic performance problems (ß = 1.76, S.E = 0.60; p<0.01) over the past two weeks; and increased internet addiction severity (ß = 0.05, S.E = 0.02; p<0.01) was associated with significantly increased depression symptom severity, whereas Twitter use was associated with reduced depression symptom severity (ß = 1.88, S.E = 0.57; p<0.05).ConclusionDespite life stressors being the largest predictor of depression symptom score severity, problematic online use also contributed significantly. Therefore, it is recommended that medical students' mental health care services consider digital wellbeing and its relationship with problematic online use as part of a more holistic depression prevention and resilience program.

Dataset Information

Expressions of Individualization on the Internet and Social Media: Multigenerational Focus Group Study.

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Expressions of Individualization on the Internet and Social Media: Multigenerational Focus Group Study.

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