=Paper= {{Paper |id=Vol-2524/paper23 |storemode=property |title=Emotion dysregulation and adolescents’ preference for online social interactions: the moderating role of gender |pdfUrl=https://ceur-ws.org/Vol-2524/paper23.pdf |volume=Vol-2524 |authors=Francesca Gioia,Valentina Boursier |dblpUrl=https://dblp.org/rec/conf/psychobit/GioiaB19 }} ==Emotion dysregulation and adolescents’ preference for online social interactions: the moderating role of gender== https://ceur-ws.org/Vol-2524/paper23.pdf
 Emotion dysregulation and adolescents’ preference for
online social interactions: The moderating role of gender

       Francesca Gioia1[0000-0002-9264-3390] and Valentina Boursier1[0000-0003-0899-8090]
                1
                    Department of Humanities, University of Naples Federico II
                           valentina.boursier@unina.it



       Abstract. The number of young social media users is increasing year after year,
       animating the scholar debate about excessive Internet use and its effects. Boys
       and girls’ different social media use motives and purposes might reflect the way
       in which they display their emotions, indeed increasing attention has been paid
       to emotion dysregulation role in addictive behaviors. This study aimed at explor-
       ing the moderating role of gender on the relation between difficulties in emotion
       regulation and problematic preference for online social interactions. 693 Italian
       adolescents (55% female and 45% male; mean age = 16+1.597) were involved in
       the study. Results showed that gender differently moderated the relationship be-
       tween emotion dysregulation and preference for web-mediated interactions in
       males and females: girls with higher difficulties in regulation of emotional states
       did not prefer online social interactions. On the contrary, boys’ problematic pref-
       erence for web-mediated interactions always increased for difficulties in ac-
       ceptance, understanding, control, and modulating negative emotions.

       Keywords: Emotion Regulation, Problematic Social Network sites Use, Ado-
       lescence, Gender.


1      Introduction

Web-based communication via social networking sites (SNSs) is growing fast among
adolescents. Indeed, among younger Internet users, 97% of teenagers and 99% of young
adults are web users [1,2]. Social media use seems to provide a useful online medium,
contributing to self-definition, identity construction, and development of social skills
[3,4,5,6,7,42,43]. At the same time, teens’ widespread Internet use seems to offer boys
and girls risky opportunities [8,9]. The emergence of possible abuse symptoms, espe-
cially in adolescence, constantly animates the scholar debate about the excessive Inter-
net use effects and the validity of the umbrella term “Internet addiction” (IA) [6,10,11],
and in recent years increasing attention has been paid to emotion dysregulation role in
addict1ive behaviors [12,13,14,15].
   In 2004 Gratz and Roemer [16] defined emotion regulation as the awareness, under-
standing, acceptance, and modulation of own emotional states and some studies

Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License
Attribution 4.0 International (CC BY 4.0).
2


suggested that these abilities play a major role in inhibiting addictive behaviors, other-
wise engaging to escape from or minimize negative moods [12,13,17]. In problematic
Internet use (PIU) research field, studies suggested significant associations between
web-related activities to manage emotions, uncontrolled Internet use, and negative out-
comes of Internet use [12,17,18,19,20,21]. But, these findings highly support the asso-
ciation between difficulties in emotion regulation and PIU in adults. Indeed, although
some papers pointed out the pivotal role of improvement of recognition and regulation
of emotions abilities in adolescents’ PIU and Internet gaming disorder treatments
[22,23,24,25], still little is known about the link between emotion dysregulation and
Internet-related activities in boys and girls.
After the feminization of the web [26], females have become increasingly more engaged
on the Internet and, despite similarities, their motives of use were different from those
of boys [27]. Overall, girls seem to prefer social and communication activities (i.e so-
cial networking, instant messaging, blogging, photo-sharing) [27,28,29,30], whereas
males spent more time surfing, online videogaming, visiting pornographic sites, and
file downloading [9,28,31]. Likely, the girls’ expressive social media use for social
purposes and the instrumental Internet use for non-social purposes [32,33] reflect the
way in which adolescents are asked to display their emotions: girls in an expressive
way talking about their feelings with others, and boys in a more physical way [17].
However, despite the typical lower capability of self-control and emotion regulation in
both boys and girls during the adolescence [9], females seem to display greater aware-
ness of their emotions, ability to describe emotional experiences, and more emotional
regulation strategies than males [9,17,34,35,36].


2      Current study

The main goal of this study was to explore the links between adolescents’ difficulties
in emotion regulation and their preference for online social interactions, as a problem-
atic aspect of Social Network sites (SNS) use, highlighting possible gender-related dif-
ferences. Based on the literature reviewed, it was hypothesized that gender moderate
the predictive role of difficulties in emotion regulation on problematic preference for
web-mediated interactions.


3      Methods

3.1    Participants
A total of 693 Italian high-school students (55% female and 45% male; mean age =
16+1.597) were involved. General information about the aim of the study was an-
nounced in class. Participants were informed that participation was voluntary, and all
students agreed to participate and completed the questionnaires in a classroom setting
through their smartphones. No course credits or remunerative rewards were given.
                                                                                     3


3.2    Measures

Difficulties in Emotion Regulation Scale (DERS). The DERS [16] is a 36-items
measure rated on a 5-point Likert scale ranging from 1 (“almost never”) to 5 (“almost
always”). This measure was developed to clinically assess difficulties in emotion reg-
ulation scored on six scales: Nonacceptance of emotional responses
(NOACCEPTANCE); Difficulties engaging in goal-directed behavior (GOALS); Im-
pulse control difficulties due to negative emotions (IMPULSE); Lack of emotional
awareness (AWARENESS); Limited access to emotion regulation strategies
(STRATEGIES); and Lack of emotional clarity (CLARITY). The Italian adaptation of
the DERS [37] has good psychometric properties. In the current study, the Cronbach's
alpha was α= .881.

Preference for Online Social Interactions Sub-Scale (POSI). The POSI is a sub-
scale of the Generalized Problematic Internet Use 2 (GPIUS2; [19]). It measures the
degree to which individuals prefer the online communicative context on a scale ranging
from 1 (“strongly disagree”) to 8 (“strongly agree”). According to Casale and Fio-
ravanti [38], the participants were asked of referring only to their use of SNS. In the
current study the Cronbach's alpha was α= .694.

3.3    Data Analysis

Means, standard deviations, and Pearson’s correlations between the study variables
were performed (Table 1). Preliminary analyses of variance (ANOVAs) were also run
in IBM SPSS 23 to point out possible gender-related differences in considered dimen-
sions. ANOVAs revealed a significant effect of gender on GOALS [F(1,692)=28.707;
p=<.001]; IMPULSE [F(1,692)=10.801; p=.001]; CLARITY [F(1,692)=9.203; p=.003]; and
AWARENESS [F(1,692)=45.328; p=<.001]. Females showed higher means in all dimen-
sions except AWARENESS. To examine the potential moderating effect of gender on
the relationship between DERS dimensions and POSI we tested six separate models
using the SPSS macro PROCESS suggested by Hayes [39]. This SPSS macro
PROCESS is specifically developed for assessing the complex models including mod-
erator variables. Simple slope analyses were completed to determine the nature of the
moderation effects.
4


    Table 1. Means, standard deviations, and Pearson's correlations between the study
      variables. Males’ data below the diagonal, females’ data above the diagonal.
                                 M(SD)
                     Males                Females        1               2         3         4            5            6      7
     1 POSI        2.46(1.498)           2.47(1.510)     -             .101*      .090     .092          .030       .079     .083
     2 DERS
                   2.54(.954)            2.55(1.054)   .322**            -       .424**    .550**       .443**     .307**   -.018
     NoAccept
     3 DERS
                   3.11(.949)            3.50(.950)    .235**          .489**       -      .594**       .573**     .314**   -.230**
     Goals
     4 DERS
                   2.83(.669)            2.80(.740)    .256**          .553**    .421**      -          .526**     .393**   .144**
     Strategies
     5 DERS
                   2.88(.936)            3.13(1.019)   .241**          .473**    .694**    .390**          -       .214**   -.138**
     Impulse
     6 DERS
                   2.76(.868)            2.97(.907)    .282**          .293**    .269**    .488**       .195**         -    .257**
     Clarity
     7 DERS
                   2.75(.893)            2.32(.794)    -.021           -.044     -.363**   .218**       -.381**    .270**      -
     Awareness




4             Results

Table 2 shows the results from testing gender as moderator. A moderating effect exists
if the coefficient of the product term (independent variable by moderator) is significant.
The coefficients of NOACCEPTANCE, GOALS, STRATEGIES, IMPULSE and
CLARITY * gender were significant at the 0.05 level, indicating that gender moderated
the relationships between these DERS dimensions and POSI. Thus, the moderating
roles of gender on the relation were confirmed.

                                    Table 2. Moderating effect test for gender.
                                                                 β              SE                  t              p
       Model 1
                NOACCEPTANCE                                 -.293              .171       -1.7105                .088
                         Gender                              -.850              .311       -2.7340                .006
       NOACCEPTANCE * Gender                                  .350              .113        3.1133                .002
       Model 2
                        GOALS                                -.239              .194       -1.2330                .218
                         Gender                              -.782              .414       -1.8876                .060
                 GOALS * Gender                               .250              .120        2.0845                .038
       Model 3
                   STRATEGIES                                 -.525             .254       -2.0685                .039
                         Gender                              -1.010             .469       -2.1534                .032
          STRATEGIES * Gender                                  .376             .162        2.3258                .020
       Model 4
                      IMPULSE                                 -.474             .178       -2.6645                .008
                         Gender                              -1.006             .375       -2.6797                .008
               IMPULSE * Gender                                .347             .117        2.9509                .003
       Model 5
                      CLARITY                                -.353              .194       -1.8197                .069
                         Gender                              -.984              .379       -2.5995                .010
               CLARITY * Gender                               .363              .127        2.8626                .004
       Model 6
                   AWARENESS                                    .318            .214        1.4863                .138
                         Gender                                 .483            .359        1.3446                .179
                                                                                          5

             AWARENESS * Gender         -.173           .134      -1.2918          .197
  Dependent Variable: POSI

   Figures 1, 2, 3, 4, 5 graphically show the changes of POSI between genders: males
prefer online social interactions more than women when have difficulties in emotion
regulations. Specifically, as can be seen in Figure 1, for high difficulties in emotions
acceptance, boys report a much higher preference for online social interactions, but for
low NOACCEPTANCE the males’ preference is lower than females. Similarly, for
higher difficulties engaging in goal-directed behavior (GOALS) the males’ POSI in-
creases (Figure 2). In Figures 3 and 4 while for higher limited access to emotion regu-
lation strategies (STRATEGIES) and impulse control difficulties (IMPULSE) boys re-
port higher preference for online social interactions, girls show lower POSI. Finally,
Figure 5 shows that gender moderates the CLARITY-POSI relation: for higher lack of
emotional clarity (CLARITY) boys’ POSI increases. For girls the effect appears almost
unchanged.
             4
                                                                       2.903
             3        2.391                   2.449
                                                                               2.508
      POSI




             2                                  2,491
                       2.079
             1

             0
                      Low                     Medium                    High
                                     NOACCEPTANCE

                                          Male           Female

Fig. 1. Moderating effect of gender on NOACCEPTANCE-POSI relation.


               3                                2.518                       2.770
             2,5     2.458                                                     2.479
                                                 2.468
               2         2.266
      POSI




             1,5
               1
             0,5
               0
                        Low                    Medium                       High
                                              GOALS

                                      Males             Females


Fig. 2. Moderating effect of gender on GOALS-POSI relation.
6


            3                                                      2.651
                                           2.490
           2,5   2.549
                                          2.443
            2       2.329                                            2.338
    POSI




           1,5
            1
           0,5
            0
                     Low                  Medium                   High
                                      STRATEGIES

                                     Males           Females



Fig. 3. Moderating effect of gender on STRATEGIES-POSI relation.
            3                                                             2.727
                 2.596                       2.510
           2,5
                 2.292                         2.470
            2                                                       2.344
    POSI




           1,5
            1
           0,5
            0
                     Low                  Medium                    High
                                         IMPULSE

                                       Males           Females

Fig. 4. Moderating effect of gender on IMPULSE-POSI relation.


             3                                                       2.851
                                               2.518
           2,5    2.450                                                    2.468
             2                                 2.459
                    2.184
    POSI




           1,5
             1
           0,5
             0
                     Low                     Medium                  High
                                          CLARITY

                                       Males           Females

Fig. 5. Moderating effect of gender on CLARITY-POSI relation.
                                                                                           7


5      Discussion and conclusion

This present study explored the relation between adolescents’ difficulties in emotion
regulation and their problematic preference for web-mediated interactions, highlighting
gender-related differences.
   Contrary to previous findings were males were more predisposed to difficulties in
emotion regulation [9,17,34,35,36], in this study girls showed higher mean scores than
boys in difficulties engaging in goal-directed behaviors, controlling impulses due to
negative emotional states, and in clear understanding of experienced emotions. More-
over, girls showed lower awareness of their emotions than boys. No statistically signif-
icative gender-related differences were found in mean scores of preference for online
social interactions and difficulties in acceptance of their own emotions and in access to
emotion regulation strategies.
   Gender was found to have a moderating role on the relationship between emotion
dysregulation and preference for web-mediated interactions. Indeed, the effect of poor
ability to understand, accept, modulate, and manage negative emotions was signifi-
cantly different between males and females. Despite higher levels of emotion-related
difficulties and an inclination for social and communicative activities online [4,28,29],
girls with higher difficulties in regulation of emotional states did not prefer online social
interactions. On the contrary, boys’ problematic preference for web-mediated interac-
tions always increased for difficulties in acceptance, understanding, control, and mod-
ulating negative emotions. Likely, even though girls use social media for social pur-
poses, they could prefer to express and display their emotional experiences mostly turn-
ing to others in face-to-face relations. In another way, girls could carry out other online
and offline activities to try and regulate their negative emotions. On the contrary, boys
that might express their emotions in a more physical way [17] could prefer online social
interactions and other web-related activities to manage and take out their negative emo-
tions [12,17,18,19]. These controversial findings could be related to the involved boys’
and girls’ cultural context, their personal characteristics, or, overall, to the rapid
changes in adolescents’ online interests and activities that reflect how fast are the
changes in social media landscape [40,41].
   Some limitations need to be addressed. Firstly, this preliminary study explores just
one dimension of problematic Social Network sites use in association with difficulties
in emotion regulation. Other aspects should be explored, especially the SNS misuse as
mood regulator [19]. Secondly, other psychosocial factors should be investigated in
association with emotion dysregulation, trying to identify gender-related differences in
SNS use. In this regard, this study highlighted that the heterogeneity of scholar findings
reflects the need of problematic social media use research field of further exploration.
Finally, these findings clearly showed the importance of interventions aimed to increase
teens’ awareness, understanding, acceptance, and regulation of emotions, in online and
offline contexts.
8


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