Getting Over the Hump: Examining Curvilinear Relationships between Adolescent Self-Esteem and Facebook Use

Cingel, Drew P.; Olsen, Megan K.

doi:10.1080/08838151.2018.1451860

Cited by 14 publications

(4 citation statements)

References 38 publications

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“…Adolescents’ mental health has also been a common research topic related to potential negative consequences of media use. Studies have found associations between increased social media use and decreased life satisfaction [ 38 , 39 ], increased risk of depression [ 38 , 40 ], worsened body image and decreased self-esteem [ 40 - 42 ], increased fear of missing out (FOMO) [ 43 ], and reduced well-being [ 44 ]. These studies suggest that media use may have a negative impact on mental health for adolescents.…”

Section: Introductionmentioning

confidence: 99%

Digital Technology and Media Use by Adolescents: Latent Class Analysis

Moreno¹,

Binger²,

Zhao³

et al. 2022

JMIR Pediatr Parent

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Background Digital technology and media use is integral to adolescents’ lives and has been associated with both positive and negative health consequences. Previous studies have largely focused on understanding technology behaviors and outcomes within adolescent populations, which can promote assumptions about adolescent technology use as homogeneous. Furthermore, many studies on adolescent technology use have focused on risks and negative outcomes. To better understand adolescent digital technology use, we need new approaches that can assess distinct profiles within study populations and take a balanced approach to understanding the risks and benefits of digital technology use. Objective The purpose of this study was to identify profiles of adolescent technology use within a large study population focusing on four evidence-based constructs: technology ownership and use, parental involvement, health outcomes, and well-being indicators. Methods Adolescent-parent dyads were recruited for a cross-sectional web-based survey using the Qualtrics (Qualtrics International, Inc) platform and panels. Technology use measures included ownership of devices, social media use frequency, and the Adolescents’ Digital Technology Interactions and Importance scale. Parent involvement measures included household media rules, technology-related parenting practices, parent social media use frequency, and the parent-child relationship. Health outcome measures included physical activity, sleep, problematic internet use, and mental health assessments. Well-being indicators included mental wellness, communication, and empathy. We used latent class analysis (LCA) to identify distinct profile groups across the aforementioned 4 critical constructs. Results Among the 3981 adolescent-parent dyads recruited, adolescent participants had a mean age of 15.0 (SD 1.43) years; a total of 46.3% (1842/3981) were female, 67.8% (2701/3981) were White, and 75% (2986/3981) lived in a household with an income above the poverty line. The LCA identified 2 discrete classes. Class 1 was made up of 62.8% (2501/3981) of the participants. Class 1 participants were more likely than Class 2 participants to report family-owned devices, have lower technology importance scores, have household technology rules often centered on content, have positive parent relationships and lower parent social media use, and report better health outcomes and well-being indicators. Conclusions Findings from this national cross-sectional survey using LCA led to 2 distinct profile groups of adolescent media use and their association with technology use and parent involvement as well as health and well-being outcomes. The two classes included a larger Class 1 (Family-Engaged Adolescents) and a smaller Class 2 (At-Risk Adolescents). The findings of this study can inform interventions to reinforce positive technology use and family support.

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Section: Introductionmentioning

confidence: 99%

Digital Technology and Media Use by Adolescents: Latent Class Analysis

Moreno¹,

Binger²,

Zhao³

et al. 2022

JMIR Pediatr Parent

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“…examined the effects of social media (SM) use on adolescents' selfesteem (e.g., Barthorpe et al, 2020;Cingel & Olsen, 2018;Meeus et al, 2019;Rodgers et al, 2020;Valkenburg, Beyens, et al, 2021a). In addition, two meta-analyses (Huang, 2017;Liu & Baumeister, 2016) have tried to integrate the results of these studies, both yielding very small to small negative pooled associations of SM use with self-esteem (r = −.04, ns, Huang, 2017; r = −.09, p < .01, Liu & Baumeister, 2016).…”

mentioning

confidence: 99%

Adolescents’ social media experiences and their self-esteem: A person-specific susceptibility perspective.

Valkenburg¹,

Pouwels²,

Beyens³

et al. 2021

Technology, Mind, and Behavior

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The aim of this preregistered study was to compare and explain the effects of (a) time spent on social media (SM) and (b) the valence (positivity or negativity) of SM experiences on adolescents' self-esteem. We conducted a 3-week experience sampling (ESM) study among 300 adolescents (13-16 years; 126 assessments per adolescent; 21,970 assessments in total). Using an N = 1 method of analysis (Dynamic Structural Equation Modeling [DSEM]), we found that the within-person effects of time spent with SM on selfesteem ranged from strongly negative (β = -.31) to moderately positive (β = +.27) across adolescents. Across all ESM observations of the valence of adolescents' SM experiences, 55% of these experiences were positive, 18% negative, and 27% neutral. Finally, 78% of adolescents experienced a positive within-person effect of the valence of SM experiences on self-esteem (β ≥ +.05), 19% no to a very small effect (-.05 < β < +.05), and 3% a negative effect (β ≤ -.05). These sizeable differences in person-specific effects could be explained by adolescents' self-esteem level, self-esteem instability, and their tendency to base their self-esteem on peer approval.

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“…While prior studies have found a positive relationship between photo investment and manipulation and the development of ED causal factors, such as body dissatisfaction [ 52 ], a few studies did not find a significant association between photo manipulation and body dissatisfaction [ 62 , 63 ]. Indeed, some research suggests that editing photos without posting is associated with an immediate decrease in weight/shape concerns and a delayed decrease in sadness [ 62 , 63 , 66 ]. Therefore, existing research regarding impacts of photo investment and manipulation show mixed results.…”

Section: Gender Differences In Selfie-related Behaviormentioning

confidence: 99%

“…With regards to the host, there are a variety of biological (age, sex, and genetic predisposition) [ 65 ], psychological (low self-esteem, perfectionism) [ 18 ], and social factors (family, SM type, gender) that influence an individual’s susceptibility to develop ED. We hypothesize that the relationship between the individual predisposing factors and the development of ED may be linked to HVSM use, namely the number of HVSM platforms used and their maladaptive use, because HVSM use is linked to the development of recognized causal factors for ED, such as low self-esteem and body dissatisfaction [ 66 ]. Environments where practices, such as dieting and exercising are prevalent in the real world, and processes, such as editing selfies and posting edited-selfies are common on HVSM platforms, individuals’ inclination to use HVSM increases.…”

Section: Gender Differences In Selfie-related Behaviormentioning

confidence: 99%

A scoping literature review of the associations between highly visual social media use and eating disorders and disordered eating: a changing landscape

Sharma,

Vidal

2023

J Eat Disord

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Background Although the etiology of eating disorders (ED) and disorder eating (DE) is multifactorial, exposure to highly visual social media (HVSM) may be an important contributor to the onset or worsening of DE and ED symptoms. We aim to understand HVSM use, ED, and DE with a particular focus on gender differences, as well as details of engagement on “selfies” in adolescents and young adults (AYA) through a scoping review of the literature. Methods We conducted a literature search in Psycho ED, PubMed, MEDLINE of articles, including participants with DE/ED and users of HVSM, focused on AYA. Studies in which the study population did not include AYA, the SM platforms used did not include HVSM platforms, and the methodology to assess ED/HVSM use was not robust were excluded. Results We found a strong relationship between HVSM and ED and DE with existing gender differences related to the nature of engagement and preference of content. The literature also shows effects of the specific mechanisms of use of these platforms involving “selfie” preparation and posting. Existing research is limited and consists of mostly cross-sectional studies with no uniform methodology and with participant populations that are not well-defined. Conclusions The use of unregulated and profit-driven SM platforms can increase risk for ED. To use these HVSM platforms for positive influence, there is a need to have more transparency, and involvement of clinicians, researchers, and educators. Public significance Due to HVSM’s popularity among the AYA population, it is important to identify its effects on the development of DE and ED, as well as recognize any gender differences. Clinicians, parents, and other adults working with youth should be aware of HVSM’s impact on DE/ED, as described in this review.

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Getting Over the Hump: Examining Curvilinear Relationships between Adolescent Self-Esteem and Facebook Use

Cited by 14 publications

References 38 publications

Digital Technology and Media Use by Adolescents: Latent Class Analysis

Digital Technology and Media Use by Adolescents: Latent Class Analysis

Adolescents’ social media experiences and their self-esteem: A person-specific susceptibility perspective.

A scoping literature review of the associations between highly visual social media use and eating disorders and disordered eating: a changing landscape

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