| Literature DB >> 36185594 |
Rossella Bottaro1, Palmira Faraci1.
Abstract
Purpose of Review: The rapid development of social networking sites (SNSs) has affected adolescents' well-being with great impact on social experience. In this scoping review, we aimed to map out what is known from the most recent literature about adolescents' emotional well-being and the role of emotional regulation skills in preventing problematic SNS use. We used the Arksey and O'Malley methodological framework, and we based the study selection procedure on the PRISMA process. Then, we selected 52 English and peer-reviewed papers from PubMed, MEDLINE, PsycARTICLES, PsycINFO, Psychology and Behavioral Sciences Collection, Wiley Online Library, and Web of Science. Recent Findings: We found both positive and negative effects of SNS use on adolescents' emotions with online self-presentation and social comparison as key mechanisms to explain differences in subjective well-being. The risk of developing problematic use of SNSs is influenced by time spent on SNSs, active or passive use, and adolescents' social and emotional skills. Summary: This review suggested the importance of emotional experiences and social support in both in-person and online interactions. Future research is needed to provide the basis for a better forthcoming classification of problematic SNS use.Entities:
Keywords: Adolescents; Emotion regulation; Emotions; Self-presentation; Social comparison; Social networking sites
Year: 2022 PMID: 36185594 PMCID: PMC9516496 DOI: 10.1007/s40429-022-00445-4
Source DB: PubMed Journal: Curr Addict Rep
Fig. 1PRISMA flow chart for steps of scoping review
Studies characteristics (N = 52)
| Authors | State | Sample | Instruments | Methods | Relevant results |
|---|---|---|---|---|---|
| Allen et al., [ | N.A | N.A | N.A | Review | Online tools create a paradox for social connectedness. On one hand, they elevate the ease in which individuals may form and create online groups and communities, but on the other, they can create a source of alienation and ostracism |
| Al-Saggaf and Nielsen, [ | N.A | 606 public profiles (N.A.) | N.A | Study of open access SNS profiles | The results of this study have shown that more ‘lonely’ people disclosed their personal information, relationship information, and address than ‘connected’ people and more ‘connected’ people disclosed their views and their wall than ‘lonely’ people |
| Apaolaza, He, and Hartmann, [ | China | 220 (16.71 ± .93) | Positive and negative affect schedule (PANAS) scale and ad hoc questionnaires | Cross-sectional | Gratifications that Chinese adolescents receive from use of the online social network Qzone, such as socializing, information-seeking, and entertainment are found to have a significantly positive influence on their positive mood. Findings of this study extend the existing theoretical framework on the application of the uses and gratifications theory to social networking sites. In addition, findings are in line with those of a number of authors who suggest that social networking site use may have positive consequences for teenagers |
| Appel et al., [ | Australia | 244, 166, 101 (21.27 ± 0.50 16.39 ± 1.36 21.37 ± 3.34) | Self-Concept Clarity Scale; Facebook Intensity Scale | Cross-sectional and longitudinal | The studies provided consistent evidence of a negative relationship between Facebook intensity and self-concept clarity. Moreover, the longitudinal study showed that Facebook intensity predicted a decline in self-concept clarity over time whereas a reverse pathway was not supported. The results suggest that an intense attachment to Facebook contributes to an inconsistent and unclear self-concept |
| Ballarotto, Volpi, and Tambelli, [ | Italy | 372 (15.8 ± 1.4) | Bergen Instagram Addiction Scale (BSMAS) | Cross-sectional | Findings show that a worse attachment to parents and peers is associated with adolescents’ psychopathological risk, which is associated with Instagram addiction |
| Best, Manktelow, and Taylor, [ | Ireland | 527 (U) | Warwick-Edinburgh Mental Well-Being Scale (WEMWBS), General Self-Efficacy Scale (GSE), ad hoc questions | Cross-sectional | Young males who reported speaking to online friends regarding personal problems recorded statistically significantly higher levels of mental well-being ( |
| Calancie et al., [ | Ontario | 8 (15.5 ± U) | Focus group | Qualitative study | Many participants reported a fear of receiving negative comments online and discussed strategies to avoid them, such as posting less content (i.e., comments, photographs) than their peers. Some participants described feeling positive emotions when they received a “like” from a SNS user, however, they also tended to describe these positive emotions as “false”, “unreal” and “fleeting.” Notably, many participants reported comparing themselves to peers on Facebook, which increased feelings of anxiety, as well as compulsive checking behaviours, such as monitoring posted content and friend lists |
| Charmaraman et al., [ | USA | 772 (12.6 ± 1.0) | A combination of validated and self-created items | Cross-sectional | Quantity of social technology use (e.g., checking social media, problematic internet behaviors, mobile use), content viewed (e.g., emotional or violent videos, risky behaviors), and social context (e.g., bedtime behaviors, starting social media at an early age) were significantly related to later bedtimes and fewer hours of sleep on school nights. Parental rules restricting mobile phone and online use before bed and obtaining a smartphone at a later age were associated with increased sleep time and earlier bedtime |
| Chua & Chang, [ | Singapore | 24 (14.05 ± 1.22) | N.A | In-depth interviews | Results of thematic analysis reveal a gap between teenage girls' self-beliefs and perceived peer standards of beauty. Feelings of low self-esteem and insecurity underpinned their efforts in edited self-presentation and quest for peer recognition. Peers played multiple roles that included imaginary audiences, judges, vicarious learning sources, and comparison targets in shaping teenage girls' perceptions and presentation of beauty |
| Cipolletta et al., [ | Italy | 40 (14.03 ± 1.2) | Specifically designed interview | Qualitative interview | The adolescents’ self-construction and distance from others were mostly influenced by receiving, or not receiving, positive feedback, rather than by using Instagram itself. Specifically, there was an increase in self-acceptance and social desirability after receiving a “like” and an increase in social isolation after receiving no “likes”. The regression model also showed a decrease in self-acceptance on Instagram in the case of female adolescents, and in participants who edited photos |
| Cohen et al., [ | USA | 18 (range 13–19) | Focus group | Qualitative | Youth spend much of each day online and frequently access social media, including news shared on these platforms. Many participants identified concerns surrounding 'fake' news on social media. Participants reported encountering racially charged news and described their responses to these stories. Some reported feeling overwhelmed by racism in the news. Most participants perceived negative mood changes after exposure to racism in online news, although few associated this exposure with changes in their own health behaviors. Youth indicated that peer discussion was important for coping with vicarious racism exposure |
| Cole et al. [ | U | 231 (19.28 ± 1.15) | Dysfunctional Attitudes Scale (DAS), the Cognitive Triad Inventory (CTI), the Beck Depression Inventory-II (BDI-II), and the Rosenberg Self-Esteem Scale (RSE) and ad hoc questionnaires | Cross-sectional | For people with weaker in-person social support, social media sites provide a source of social support that is less redundant of the social support they receive in person; (2) in ways that were not redundant of each other, both online and in-person social support were associated with lower levels of depression-related thoughts and feelings, and (3) the beneficial effects of online social support (like in-person social support) offset some of the adverse effects of peer victimization |
| Doucette et al., [ | England | 109 female (15.78 ± U) | EI scale, The Beck Depression Inventory–II (BDI-II), Regulation of Emotions Questionnaire (REQ), Acceptance of couple violence (ACV), CADRI scale | Cross-sectional | Findings demonstrate that perpetration of electronic intrusiveness within the past 3 months is common among a sample of high-risk adolescent females, with rates across various modes of technology ranging from 30 to 57%. Results also revealed electronic intrusiveness is associated with in-person dating violence perpetration after accounting for known risk factors |
| Drach, Orloff, and Hormes, [ | USA | 144 (19.03 ± 1.85) | The Young Internet Addiction Test (YIAT); Problematic Social Networking Sites Use evalueted by dicotomic items from DSM-5; Difficulties with Emotion Regulation Scale (DERS); Positive and Negative Affect Scales (PANAS); ad hoc questionnaire for Subjective urge to use SNS and the Internet | Cross-sectional | Participants meeting criteria for “moderate” levels of disordered SNS use self-reported significantly greater deficits in emotion regulation. Increases in positive and negative affect following the mood induction were associated with a decrease in subjective urge to access SNS. Time spent browsing SNS resulted in significantly greater increases in self-reported positive affect, compared to the control website |
| Erreygers et al., [ | Belgium | 1720 (13.61 ± 0.49) | Items from European Cyberbullying Intervention Project Questionnaire and Prosocial Behaviour Scale; ad hoc questionnaire | Part of a study | Findings indicated that participants performed and received more prosocial than antisocial behavior online. Experiencing negative as well as positive emotions was related to online social behavior, and these associations were mediated by adolescents’ use of social and audiovisual media, but not by gaming or functional Internet use |
| Fioravanti et al., [ | N.A | N.A | N.A | Systematic Review | Findings indicate that viewing idealized images on SNSs lead to increased body dissatisfaction among young women and men |
| Franchina et al., [ | Flanders | 2663 (14.87 ± 1.67) | Ad hoc questionnaires | Cross-sectional | FOMO was a positive predictor of both how frequently teenagers use several social media platforms and of how many platforms they actively use. FOMO was a stronger predictor of the use of social media platforms that are more private (e.g., Facebook, Snapchat) than platforms that are more public in nature (e.g., Twitter, Youtube). FOMO predicted phubbing behavior both directly and indirectly via its relationship with PSMU |
| Frison and Eggermont, [ | Belgium | T1 = 1840 T2 = 1577 (14.76 ± 1.41) | Frequency of Having a Negative Feeling from Comparison on Facebook Scale, Satisfaction with Life Scale | Longitudinal | Negative comparison on Facebook predicted decreases in life satisfaction over time. Conversely, lower scores on life satisfaction predicted increases in negative comparison on Facebook |
| Fu et al., [ | China | 720 (13.66 ± 1.63) | Difficulties in Emotion Regulation Scale; Smartphone Addiction Scale; Center for Epidemiologic Studies Depression Scale; Multidimensional Scale of Perceived Social Support (MSPSS) | Cross-sectional | The results indicated that emotion regulation difficulty was positively related to problematic smartphone use and depression mediated this relationship. Moderated mediation analyses showed that the pathway between depression and adolescent problematic smartphone use was moderated by perceived social support |
| Hamilton et al., [ | Online | 110 (12.28 ± U) | Ecological momentary assessment (EMA) | Longitudinal | Multilevel models indicated that negative peer interactions that occurred on social media were more likely to be associated with sustained negative affect, but not negative emotional reactivity during the interaction. Positive interactions on social media were more likely to be associated with both lower positive emotional reactivity and lower sustained positive affect |
| Holmberg et al., [ | Sweden | 20 (U) | Semi-structured interview | Qualitative interview | Adolescent girls and boys undergoing treatment for obesity used visual-based social media, but girls in particular experienced weight stigma online and undertook self-presentation strategies to conceal weight-related content such as avoiding showing close-up photos of their bodies and not posting images of unhealthy “fattening” foods. Participants perceived the potential use of social media in clinical settings as being too risky and private |
| Kross et al., [ | N.A | N.A | N.A | Review | Early research generated inconclusive findings, several experiments have revealed small negative effects of social media use on well-being. These results mask, however, a deeper set of complexities. Accumulating evidence indicates that social media can enhance ordiminish well-being depending on how people use them |
| La Sala et al., [ | Australia | 34 | Semi-structured focus groups | Qualitative research | Teenagers reported that they spend a good deal of time planning their sns posts, felt that the information they posted was a true reflection of them as a person, and thus interpreted feedback (“likes”) as measuring their self-worth. In contrast, some teenagers were perceived as “chasing the like” for status and popularity while not caring about how accurately their posts represented them as a person |
| Lee et al., [ | Online | 613 (14.3 ± 0.70) | Post-task survey questions | 3 cross-sectional studies | The findings raise the possibility that technology which makes it easier for adolescents to compare their social status online—even when there is no chance to share explicitly negative comments—could be a risk factor that accelerates the onset of internalizing symptoms among vulnerable youth |
| Lo Coco et al., [ | Italy | 647 (14.15 ± 1.43) | Smartphone Addiction Inventory (SPAI-I); The Difficulties in Emotion Regulation Scale- Short Form (DERS-SF); Body Esteem Scale(BES) | Cross-sectional | Findings from hierarchical regression models revealed that problematic smartphone use was weakly associated with body esteem among both adolescent girls and boys. Furthermore, difficulties with emotional regulation were moderately associated with problematic smartphone use and, among girls, moderated the relationship between problematic smartphone use and the evaluation attributed to others about one's own body, such that problematic smartphone use was more tightly associated with appearance attributions among girls with greater emotion regulation difficulties |
| Lutz, Ranzini, and Meckel, [ | Switzerland | 6989 (15.3 ± U) | Ad hoc questionnaire | Cross-sectional | While only a minority of 13% of respondents feels stressed by social network sites, more than one third has the feeling of spending too much time on such platforms. Age, gender, and language background (French vs. German speaking) shape the overload propensity, with older, male and French-speaking teenagers most at risk for social network site stress |
| Manago et al., [ | USA | 815 (19.28 ± .95) | Gordon and Ward Self-Worth Measure, Surveillance sub-scale of the Objectified Body Consciousness Scales – Youth (OBC-Y), Enjoyment of Sexualization Scale, 5-item Shame subscale of the OBC-Y, Hurlbert Index of Sexual Assertiveness, ad ad hoc questionnaires | Cross-sectional | For both women and men, Facebook involvement predicted objectified body consciousness, which in turn predicted greater body shame and decreased sexual assertiveness. The link between objectified body consciousness and body shame was greater in magnitude for women, but no gender difference was found in the association between body shame and sexual assertiveness |
| Marin-Lopez et al., [ | Spain | 2114 (13.79 ± 1.40) | European Cyberbullying Intervention Project Questionnaire (ECIPQ), E-motions Questionnaire, Social and Emotional Competencies Questionnaire (SEC-Q), | Cross-sectional | Results showed that a high level of social and emotional competencies were negatively related to cybervictimization and cyberperpetration, and to more use of emotional content online. Using more emotional content online was related to more cybervictimization and cyberperpetration. Also having a high level of social and emotional competencies protected against cyberbullying, but an excessive use of emotions online was a risk factor |
| Marino et al.; [ | Italy | 761 (15.49 ± 1.03) | Difficulties in Emotion Regulation Strategies (DERS); E-motions questionnaire; ad hoc questionnaires | Cross-sectional | Difficulties in emotion regulation were directly and indirectly linked to problematic social media use via frequency of use and facilitating use of e-motions |
| Moretta and Buodo, [ | N.A | N.A | N.A | Review | A small-medium positive association between loneliness and PIU has been reported in several cross-sectional studies. However, the association becomes weaker when other variables are controlled for. Longitudinal studies suggest a dynamic relationship between PIU and loneliness |
| Neira and Barber, [ | Australia | 1819 (14.6 ± 1.05) | ad hoc questionnaires | Cross-sectional | The results showed that frequency of SNS use was linked to higher social self-concept while investment in SNSs was associated with lower self-esteem and higher depressed mood |
| Nie et al., [ | China | 699 (13.31 ± 0.79) | Adolescents’ Emotional Resilience Questionnaire (AERQ); Berkeley Expressivity Questionnaire (BEQ); Facebook Intrusion Questionnaire (FIQ); Type D personality scale (DS14) | Cross-sectional | Our mediation analysis revealed that the ability to generate positive emotions (a mechanism of emotional resilience) positively predicted SNS addiction via increasing positive expressivity; the ability to recover quickly from negative emotions (another mechanism of emotional resilience) negatively predicted SNS addiction directly and via decreasing positive and negative expressivity |
| Nowland, Necka, and Cacioppo, [ | N.A | N.A | N.A | Review | When the Internet is used as a way station on the route to enhancing existing relationships and forging new social connections, it is a useful tool for reducing loneliness. But when social technologies are used to escape the social world and withdraw from the “social pain” of interaction, feelings of loneliness are increased. We propose that loneliness is also a determinant of how people interact with the digital world. Lonely people express a preference for using the Internet for social interaction and are more likely to use the Internet in a way that displaces time spent in offline social activities. This suggests that lonely people may need support with their social Internet use so that they employ it in a way that enhances existing friendships and/or to forge new ones |
| Oberst et al., [ | Latin-America | 1468 (16.59 ± 0.62) | The Hospital Anxiety and Depression Scale (HADS), the Social Networking Intensity scale (SNI), the FOMO scale (FOMOs), and a questionnaire on negative consequences of using SNS via mobile device (CERM) | Cross-sectional | It was found that both FOMO and SNI mediate the link between psychopathology and CERM, but by different mechanisms. Additionally, for girls, feeling depressed seems to trigger higher SNS involvement. For boys, anxiety triggers higher SNS involvement |
| O’Reilly et al., [ | UK | 54 (range 11–18) | Focus group | Qualitative | Thematic analysis suggested that adolescents perceived social media as a threat to mental wellbeing and three themes were identified: (1) it was believed to cause mood and anxiety disorders for some adolescents, (2) it was viewed as a platform for cyberbullying and (3) the use of social media itself was often framed as a kind of ‘addiction’ |
| Quinn and Oldmeadow, [ | England | 337 (12.28 ± 0.73) | Ad hoc questionnaires | Cross-sectional | In order to access to sns, mobile device users were found to have significantly higher levels of belonging than non-mobile device users and this relationship was partially mediated by the frequency of use of snss. It is suggested that these mobile devices not only afford an opportunity for increased use of snss and therefore increased interaction with friends but that mobile device sns users feel constantly connected to their friends |
| Shankleman, Hammond, and Jones, [ | N.A | N.A | N.A | Systematic review | The findings suggest that well-being and social media are related with four themes: connections, identity, learning, and emotions |
| Spada and Marino, [ | Italy | 380 (15.82 ± 1.67) | Short Problematic Internet Use Test (SPIUT), Metacognitions Questionnaire 30, three-items subscale measuring “emotion regulation” drawn from the validated Social and Emotion Health Survey (SEHS) | Cross-sectional | Metacognitions, with the exception of cognitive self-consciousness, were positively correlated with PIU. Moreover, emotion regulation negatively correlated with PIU. The model tested indicated that both metacognitions and emotion regulation had direct effects (positive and negative respectively) on PIU and that the relationship between metacognitions and emotion regulation was not significant |
| Thorisdottir et al., [ | Iceland | 10,563 (U) | Multimensional Anxiety Scale for Children; Original Symptom Checklist; Perceived Parental Support Scale; Iowa–Netherlands Comparison Orientation Measure; Rosenberg Self-Esteem Scale; ad hoc questionnaires | Cross-sectional | Passive social media use was related to greater symptoms of anxiety and depressed mood among adolescents and active social media use was related to decreased symptoms of anxiety and depressed mood, even after controlling for time spent on social media. When adding known risk and protective factors, self-esteem, offline peer support, poor body image, and social comparison to the model, active use was not related to emotional distress; however, passive use was still related to adolescent symptoms of anxiety and depressed mood. The effect of social media on emotional distress differed by gender as time spent on social media had a stronger relationship with emotional distress among girls. In addition, passive use was more strongly related to symptoms of depressed mood among girls |
| Unal-Aydin et al., [ | Turkey | 861 (15.84 ± 0.46) | Bergen Social Media Addiction Scale (BSMAS), the Metacognitions Questionnaire for Children (MCQ-C), and the Children’s Version of Reading the Mind in the Eyes Test (RMET) | Cross-sectional | A stepwise multiple linear regression analysis showed that all subdimensions of metacognitions (positive meta-worry, negative meta-worry, superstition, punishment, and responsibility beliefs, and cognitive monitoring), but not emotion recognition, independently predicted the BSMAS total score controlling for daily SNS use |
| Verduyn et al., [ | N.A | N.A | N.A | Review | The occurrence of social comparisons on SNSs depends on who uses the SNS and on how the SNS is being used with passive use in particular resulting in increased levels of social comparison. Moreover, social comparison on SNSs may occasionally result in an increase in subjective well-being (SWB) but typically negative effects are found as people tend to engage in contrasting upward social comparisons. Finally, several studies show that social comparison is a key mechanism explaining the relationship between use of SNSs and SWB and that users with a tendency to engage in social comparison are especially likely to be negatively impacted by SNSs |
| Vermeulen, Vandebosch, and Heirman, [ | Online | 22 (range 14–18) | In-depth Interviews | Qualitative | Although the different platforms have similar affordances, their social norms clearly differ and influence adolescents’ online behavior. Facebook statuses, Instagram, and Snapchat are mostly used for sharing positive emotions, if emotions are shared at all. Twitter and Messenger, on the other hand, are also used for sharing negative emotions, albeit for different reasons |
| Vossen and Valkenburg, [ | Netherlands | 1032 (12.93 ± 1.39) | The Adolescent Measure of Empathy and Sympathy (AMES); | Part of a study | The results showed that social media use is related to an increase in cognitive and affective empathy over time. Specifically, adolescents’ social media use improved both their ability to understand (cognitive empathy) and share the feelings of their peers (affective empathy) |
| Wartberg, Thomasius, and Paschke, [ | Germany | 1221 (13.04 ± 2.39) | Difficulties in Emotion Regulation Scale Short Form (DERS-SF), Procrastination Questionnaire for Students (PFS-4), Short Form Perceived Stress Scale (PSS-4) | Cross-sectional | Bivariate statistically significant relations were found between Problematic Social Media Use (PSMU) and lower age, more pronounced problems in all six facets of emotion regulation, procrastination, and stress. In the multivariable regression, PSMU was associated with lower age, stronger impulse control difficulties, stronger difficulties engaging in goal-directed behavior, stronger procrastination and higher perceived stress |
| Waterloo et al., [ | Netherlands | 1201 (50% range 15–18 and 50% range 18–25) | Ad hoc questionnaires | Cross-sectional | The expression of negative emotions was rated as most appropriate for WhatsApp, followed by Facebook, Twitter, and Instagram. For positive emotion expression, perceived appropriateness was highest for WhatsApp, followed by Instagram, Facebook, and Twitter |
| Weinstein, E., [ | USA | 568; 26 (15.26 ± 0.97) | Survey and interview | Cross-sectional | Analyses suggest the relationship between social technology usage and well-being—whether enhanced or degraded—is not confined to an 'either/or' framework: the emotional see-saw of social media use is weighted by both positive and negative influences |
| Weinstein, [ | USA | 588 (15.26 ± 0.97) | Positive and Negative Affect Scales (PANAS) | Cross-sectional | Teens who reported higher levels of negative social comparison had significantly worse post-browsing affect than peers who reported less negative comparison to the stimuli. No main effects of browsing condition were found. However, browsing condition moderated the relationship between social comparison and affective well-being: the interventions reduced post-browsing negative affect for those at higher levels of negative comparison |
| Wu et al., [ | China | 596 (15.24 ± 1.39) | Satisfaction with Lifa Scale; Positive Affect and Negative Affect Scale for Children; ad hoc questionnaires | Cross-sectional | The results revealed that watching videos (passive use) predicted reduced life satisfaction and reduced positive affect after controlling for age and gender, whereas posting online (active use) predicted enhanced life satisfaction. In contrast to Entertainment/Relaxation themed videos, watching People/Fashion themed videos predicted reduced life satisfaction. Additionally, our analysis showed that Chinese adolescents and young adults differed in social short-form video use. Compared with young adults, adolescents spent more time watching short-form videos and preferred Entertainment/Relaxation ones. They also gave more “likes” yet posted less often |
| Xie and Kang, [ | N.A | 622 (14.94 ± 1.60) | Ad hoc questionnaires | Survey | Though teenagers reveal moderately high level of personal information on sns, they do not disclose all types of personal information equally. Results also show that male and older teens disclose more personal information. Frequent sns use, large sns network size, and having strangers in sns friend list increase both self-disclosure and posting regret. Setting sns profile private is related to lower level of self-disclosure |
| Yau,Reich, and Lee, [ | California | 130 (12.41 ± 1.23) | The 15-item Network of Relationships Inventory and ad hoc questionnaires | Experimental study | Participants who texted their friend reported higher moods and lower stress at the end of the study than those in the no activity condition and higher moods than adolescents in the passive-phone condition. No differences were noted between the passive-phone and no activity conditions. There were no differences in heart rate variability between the three conditions. The effects of texting on mood, self-reported stress, and heart rate variability did not differ by gender |
| Zhang et al., [ | China | 266 (T1 19.43 ± 1.65 T2 20.11 ± 0.98) | 9 items adapted from Facebook Activity Measures; UCLA Loneliness Scale-3; Center for Epidemiologic Studies Depression Scale | Longitudinal | Results showed that negative emotions (loneliness, depression) at time 1 (T1) was positively related to both active SNS usage and passive SNS usage at Time 2 (T2). However, neither active nor passive SNS usage at T1 was found to be associated with negative emotions at T2 |
U undetectable; N.A. not applicable