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Understanding the smartphone generation: is problematic smartphone use associated with low body esteem among adolescent girls and boys?

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Contemporary adolescents increasingly engage with social media via their smartphones, and problematic smartphone use has been identified as a growing concern. The aim of the current study was to examine the association between problematic smartphone use and body esteem among adolescent boys and girls. A sample of 647 adolescents (mean age: 14.15 years; 56.7% females) completed measures of problematic smartphone use, emotional regulation, and body esteem. 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. This study provides initial support for the relationships between problematic smartphone use and emotional regulation difficulties on the one hand, and body esteem on the other, among both adolescent boys and girls.
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Understanding the smartphone generation: is problematic
smartphone use associated with low body esteem among adolescent
girls and boys?
Gianluca Lo Coco
1
&Laura Salerno
1
&Cecilia Giordano
1
&Maria Di Blasi
1
&Rachel F. Rodgers
2
#Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
Contemporary adolescents increasingly engage with social media via their smartphones, and problematic smartphone use has
been identified as a growing concern. The aim of the current study was to examine the association between problematic
smartphone use and body esteem among adolescent boys and girls. A sample of 647 adolescents (mean age: 14.15 years;
56.7% females) completed measures of problematic smartphone use, emotional regulation, and body esteem. 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 ones own body, such that problematic smartphone use was more tightly associated with appearance attributions
among girls with greater emotion regulation difficulties. This study provides initial support for the relationships between
problematic smartphone use and emotional regulation difficulties on the one hand, and body esteem on the other, among both
adolescent boys and girls.
Keywords Problematic smartphone use .Body esteem .Body image .Emotion regulation .Adolescents
Introduction
In Western countries the large majority ofthe populationowns
a smartphone with permanent Internet access, and nearly all
adolescents go online daily for browsing, communicating with
peers, and gaming (Panova and Carbonell 2018; Statista
2020). The large amount of available applications fosters the
intensive use of smartphones among adolescents, which in
turn promotes the need to always be online and constantly
interact with others (Fisher-Grote et al. 2019). Thus,
experiencing pressure to not miss out and stay up to date has
become normative for teenagers (Franchina et al. 2018). Girls
are reported to spend more time on their phones per day than
boys, particularly for time-consuming activities such as
texting and using social media sites (Roberts et al. 2014;
Servidio 2019), revealing that smartphone related attitudes
and behaviors are gendered.
It has been shown that daily smartphone use including
engaging with social media, playing video games, online
shopping, viewing TV shows via the Internet, and chatting
and messaging, can increase feelings of dependency among
smartphone users (Lopez-Fernandez et al. 2017). Research on
the addictive potential of smartphones is ever increasing, but
most of the extant literature is characterized by the lack of a
theoretical rationale and mostly based on clinical concepts
borrowed from the area of substance dependence (Billieux
et al. 2015). However, there is still inconsistent support for
the usefulness of considering smartphone use through an ad-
dictions lens and, thus, scholars have moved towards a prob-
lematic smartphone use (PSU) framework (Panova and
Carbonell 2018). PSU (Elhai et al. 2017) refers to an excessive
engagement with onessmartphone,whichisassociatedwith
adverse daily-life outcomes and symptoms, such as withdraw-
al, loss of control and tolerance, only in part resembling those
of substance use disorders (Billieux et al. 2015;Kussetal.
2018). Billieux et al. (2015) proposed a three-pathway model
*Gianluca Lo Coco
gianluca.lococo@unipa.it
1
Department of Psychology, Educational Science and Human
Movement, University of Palermo, Viale delle Scienze, Edificio 15,
90128 Palermo, Italy
2
Northeastern University, Northeastern University International
Village Suite 404, 360 Huntington Avenue, Boston, MA 02115,
USA
https://doi.org/10.1007/s12144-020-00847-5
Published online: 10 June 2020
Current Psychology (2022) 41:3173–3184
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
... The statistical data for running the meta-analysis extracted include (1) PSU measures (mean, SD), (2) ER measures (mean, SD), (3) sample size, (4) correlational coefficient together with its 95% Confidence Interval (CI), (5) p-value, and (6) the relevant data for running meta-regression. Relevant authors were contacted [47][48][49][50][51][52][53] for clarification of incomplete data, in which all but 1 author replied to get extra information required for the review and analysis. ...
... In assessing the risk of bias, a modified McMaster Critical Appraisal Tool for quantitative studies was employed and measured in terms of percentage according to the number of criteria fulfilled. As shown in Table S1, most studies have relatively good qualities, whereby 1 study scored 100% [40], 6 studies 91% [49][50][51][56][57][58], 12 studies scored 82% [47,48,52,[59][60][61][62][63][64][65][66][67], and another 2 studies score 73% [53,68] (refer to Table S1 of Supplementary file). ...
... The studies employed the usage of designations such as "emotional dysregulation", "emotional control difficulty", "dysfunctional emotion regulation", and "expressive suppression" to refer to maladaptive ER or ED, whilst the term "cognitive reappraisal" is used to refer to adaptive ER. Nine of the studies used DERS [48][49][50][51]53,58,59,61,65], seven studies used ERQ [40,47,52,56,57,64,68], one study [56] other than using ERQ, also used an additional scale, which is the Ruminative Thought Style Questionnaire (RTSQ), two studies used CERQ [63,67], one study used the Mood Regulation Scale (MR) [60], one study used EMSS [62], and one study used ERSA [66]. All scales are validated. ...
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Emotion Dysregulation (ED) and Problematic Smartphone Use (PSU) are two rising global issues requiring further understanding on how they are linked. This paper aims to summarize the evidence pertaining to this relationship. Five databases were systematically searched for published literature from inception until 29 March 2021 using appropriate search strategies. Each study was screened for eligibility based on the set criteria, assessed for its quality and its level of evidence was determined. The Comprehensive Meta-Analysis software program (CMA) was employed to run further analyses of the data. Twenty-one studies were included in the systematic review. Nine studies with extractable data for meta-analysis had high across-studies heterogeneity, hence subgroup analyses were performed that confirmed a significant moderate positive correlation between ED and PSU (pooled correlation coefficient, r = 0.416 (four studies, n = 1462) and r = 0.42 (three studies, n = 899), respectively) and a weak positive correlation between “expressive suppression” and PSU (pooled correlation coefficient, r = 0.14 (two studies, n = 608)). Meta-regression analysis showed a stronger correlation between ED and PSU (R2 = 1.0, p = 0.0006) in the younger age group. Further studies to establish and explore the mechanisms that contribute towards the positive link between ED and PSU are required to guide in the planning of targeted interventions in addressing both issues.
... When analysing research findings, it should also be emphasised that very often PSU themes are not shown directly through descriptive statistics that present the scale, but with an emphasis on co-occurring factors (sociodemographic, social determinants, biopsychic characteristics, new media use style) (Lo Coco et al., 2020;Yang et al., 2020;Romero-Rodríguez et al., 2020;Eichenberg et al., 2021). Clearly, research that triangulates multiple tests that measure factors that are determinant variables of PSU is extremely valuable; however, the absence of data on the magnitude of PSU (particularly with representative samples) causes issues, particularly for those involved in the diagnosis and prevention of cyberhazards. ...
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... Our study found significant associations between participants' gender, parental status, occupational status and daily smartphone usage time and smartphone usage related dysregulation. In line with previous research, females reported higher levels of dysregulation than males [95]. Our findings also revealed that non-parents reported higher smartphone use-related dysregulation than parents, which has not been investigated in the past. ...
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... Finally, meta-analytic results showed a small and negative association between the dysfunctional use of digital media and sleep health subjectively measured over time. These findings confirm those of previous research that reported how dysfunctional use of digital media was associated with negative outcomes in both social well-being (e.g., Ko et al., 2009) and psychological well-being (Lo Coco et al., 2022;Steele et al., 2020;Wartberg et al., 2021). In addition, the current findings extend previous works that had only examined smartphone addiction as a dysfunctional behavior that impacts sleep (Mac Cárthaigh et al., 2020;Randler et al., 2020;Zhang et al., 2022). ...
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... Online, individuals with social anxiety can obtain easier and more satisfactory social interaction because their anxiety level is reduced (Hwang et al., 2022;Zou et al., 2021;Lee & Staplinski, 2012). Social interaction through smartphones replaces the face-to-face contact that makes individuals more anxious, and the sense of anonymity can reduce individuals' concerns about their appearance (Lo Coco et al., 2020;Yang et al., 2020;Weidman et al., 2012). ...
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... Building upon these prior studies, this study further establishes smartphone addiction as a novel mediator in the association between body dissatisfaction and the three disordered eating behaviors. According to the compensatory satisfaction theory, the problematic use of smartphones could be considered a compensatory strategy to satisfy psychological demands that cannot be met in reality [34,45], because in the virtual world, an individual may temporarily be able to mitigate dissatisfaction by selectively presenting the positive aspects of themselves [46] and constantly seeking reassurance from others [47]. Thus, habitual behaviors are reinforced and, in the long term, the risk of other detrimental behaviors such as disordered eating may be increased. ...
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... For example, Pivetta, Harkin, Billieux, Kanjo, and Kuss [6] reported that smartphone addiction was directly related to antisocial behaviours. Other traits, such as low self-esteem [7] or lack of empathy [8,9], are directly related to addiction problems, too. ...
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