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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Problematic Internet Use in the Context of Perceived Social Support and Self-esteem among Network Users Aged 15-26.</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Eryka Probierz</string-name>
          <email>erykaprobierz@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>​​a​nd Anna Pindych</string-name>
          <email>pindychanna@gmail.com</email>
        </contrib>
      </contrib-group>
      <abstract>
        <p>Problematic Internet Use is a cognitive-behavioral construct based on the diathesis-stress model. As research shows, more and more people who are adolescents or in the period of early adulthood encounter the problem of excessive use of the Internet [1]. The phenomenon itself, classified as a behavioral addiction, has a heterogeneous picture and structure [2]. In the presented study, based on the diathesis-stress model, the subject of protection factors such as perceived social support and self-esteem will be raised. These factors, acting as a buffer, are particularly important in the age range that has been tested [3]. The vulnerability window in which the examined persons are located increases the risk of Problematic Internet Usage, which is why among these people protective factors are examined. The aim of this study is to check the relationship between self-esteem and perceived social support with Problematic Internet Use. In addition, based on the available literature, the hypothesis that the perceived social support will remain in the negative relationship with the problematic use of the Internet will be checked.</p>
      </abstract>
      <kwd-group>
        <kwd>​Problematic Internet Use</kwd>
        <kwd>Perceived Social Support</kwd>
        <kwd>Self-esteem</kwd>
        <kwd>Diathesis-stress Model</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        As the results of statistical analyzes provided by Central Statistical Office using
with Internet and technologies, the number of Internet users in Poland is growing [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
In addition, the age at which people start using the Internet decreases. Moreover, from
the surveys carried out among parents of children and adolescents, most of them do
not control the time or type of online activity [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. Research on the applicability of
parental control software has shown their low awareness in society. The medium like
the Internet offers many possibilities. Currently, there is a discourse which indicates
on the impact of technology on human being. This results in the bi-directionality of
these relations have been overlooked, when not only man creates and changes
Internet, but also the Internet shapes and responds to human needs.
      </p>
      <p>
        This is particularly important in the period of adolescence and early
adulthood, when changes in life may contribute to the development of non-adaptive
ways of coping with stress, meeting needs or seeking social support [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. When talking
about perceived social support, it is very important to highlight the distinction
between perceived and actual support. Perceived support refers to the needs, cultural
patterns of action or to receive normalization of the situation. In the examined age
bracket, it is particularly important, due to building both individual own identity and
awareness of mutual connections in groups to which a given person belongs [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ].
      </p>
      <p>
        In addition, according to research, the most common reason for excessive use
of the Internet is the search for social support in and through this technology [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. The
second extremely important component is self-esteem. Its importance in research is
also significant due to the selection of the research group. People in adolescence, as
reported by research, often experience a temporary drop in self-esteem [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. However,
the combination of the aforementioned drop in self-esteem with possible and
predicted stressful life situations and the ease and universality of access to the Internet
may contribute to the development of Problematic Internet Use.
      </p>
      <p>
        What may seem surprising, the aim of this study is to look at self-esteem and
perceived social support as protection factors, also known as buffer. Based on the
diathesis-stress model, it is assumed that just moderate or high self-esteem as well as
high scores in the scales of perceived social support can play a significant role in the
way of using the Internet [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ]. In addition, the constructs mentioned above interact
with each other. As can be seen from the analyzes of available sources, moderate and
high self-esteem remains due to high scores in the scales of perceived social support
[
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. It is an explanation with greater cognitive access to noticing and remembering
the support received from the social networks possessed.
2
      </p>
    </sec>
    <sec id="sec-2">
      <title>Related work</title>
      <p>
        As it results from the analysis of the literature on the subject, research has been
conducted combining broadly understood Internet addiction in the context of
self-evaluation. Nevertheless, it seems intentional to mention here the existence of a
multitude of contradictions treating the improper use of the Internet. Addiction to the
Internet has been created so far, Compulsive Use of the Internet, Problematic Using
the Internet, WWW-holism, networking, network dependence, Excessive Use of the
Internet and many more [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. A full description and review of these phenomenons
would require a separate analysis, but nevertheless the multiplicity of constructs may
involve important information. One of them is that this is an urgent topic, because the
priviness of people who use the Internet incorrectly is noticeable, regardless of the
name of the phenomenon. This growth causes pressure on many circles like,
researchers, psychologists, psychotherapists and pedagogues to bend over and take up
this topic. On the other hand, it shows a lack of clarity as to the nature, causes,
consequences and symptoms of both theoreticians and practitioners [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ].
      </p>
      <p>
        This controversies raise questions about purposefulness and usability of
duplicated criteria with addiction to gambling, and about legitimacy of creation new
taxonomies and classifications. It is worth noting, that the problem is not only purely
academic, but also requires assistance in the field of psychological and
psychotherapeutic services. For efficiency of such services it is insufficient to know
only the image and consequences of the phenomenon. It is fundamental and more
desirable to think about the causes and, more importantly, possible protection factors
in line with the latest trends in health psychology [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ].
      </p>
      <p>
        In relation to the problematic use of the Internet, the choice of this method of
defining the phenomenon was not accidental. It is based on the diathesis-stress
concept, taking into account all the elements needed for its occurrence, in addition,
the emphasis in this model is placed on the causality of certain behaviors. The
description and consequences of the phenomenon are considered only after the
identification of the fraud. This model is particularly important because, based on the
assumptions of the cognitive-behavioral trend, it has been tested in many studies [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ].
These were comparative studies with other proposed models regarding undesirable
use of technology as well as research on the subject of relationships with other
variables [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ].
      </p>
      <p>
        The last important component of this research is perceived social support. In
the available analyzes, it is talked about increasing individualization of society [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ].
This phenomenon causes not only economic, but above all cultural and social
consequences The loosening of social ties remains in connection with all stages of
human life. Often leading to a decrease in life satisfaction, a sense of happiness or
stability both material and derived from belonging to a given group or environment
[
        <xref ref-type="bibr" rid="ref17">17</xref>
        ]. This topic is particularly important in the context of creating your own identity
as well as shaping relationships in the environment during adolescence and early
adulthood. As studies show, the skills acquired during this period of establishing
social relations, noticing, using and showing support are crucial in the further
development of these competences [
        <xref ref-type="bibr" rid="ref18">18</xref>
        ].
3
      </p>
    </sec>
    <sec id="sec-3">
      <title>Variables</title>
      <p>
        In the presented study, the main issue is Problematic Using the Internet. It is a
construct based on the Davis Pathological Internet Use model. It was created as a
result of the widening debate on behavioral addictions in the context of new
technologies. Based on the diathesis-stress model, it assumes not only the description
of the phenomenon, but more importantly the identification of causes [
        <xref ref-type="bibr" rid="ref19">19</xref>
        ].
      </p>
      <p>
        Social support refers to the support networks you have. In the results of the
development process and socialization, a person learns to build the above networks
and then function in them. As the research shows, the support network is particularly
important in a stressful or difficult situation [
        <xref ref-type="bibr" rid="ref20">20</xref>
        ]. Experiencing stress forces people to
use their resources and to act in the situation. Nevertheless, the support network can
significantly help a person in a stressful situation. Material or financial support is one
of the types of social support. It is worth noting that it may manifest itself not only in
monetary terms but also, for example, in the form of shelter. Other types of support
are much more significant. Valuation, a sense of belonging or cognitive support play
an important role in a stressful situation. These types of support help to normalize the
situation, situate it over the course of life or provide emotional support in the moment
of crisis [
        <xref ref-type="bibr" rid="ref21">21</xref>
        ].
      </p>
      <p>
        Self-esteem is a construct referring to the relation to self. It is worth noting that it is
related to emotional stability derived from personality traits [
        <xref ref-type="bibr" rid="ref22">22</xref>
        ]. This means that
having some permanent predisposition to emotional stability will be associated with
moderate or high self-esteem.
4
      </p>
    </sec>
    <sec id="sec-4">
      <title>Hypothesis</title>
      <p>The above-mentioned theoretical analysis resulted in some research questions. Does
self-esteem remain in relation to the problematic use of the Internet, and if so, what is
the nature of this relationship? Does the perceived social support remain in relation to
the problematic use of the Internet? And if so, what is the nature of this relationship?
Basing on above questions and diathesis-stress model, the following research
hypotheses are postulated:
H1. High and moderate self-esteem remains in a negative relationship with the
problematic use of the Internet.</p>
      <p>H2. The high level of perceived social support remains in a negative relation with the
Problematic Use of the Internet.</p>
      <p>H3. The greater the intensity of both explanatory variables, the lower the level of the
explained variable.
5</p>
    </sec>
    <sec id="sec-5">
      <title>Analysis Procedure</title>
      <p>
        The statistical analysis procedure covers all basic measures. The description of
variables was made with the help of values appropriate for the level of the interval
scale. Thus, the measure of the central tendency was arithmetic mean, measure of
dispersion (dispersion) - standard deviation, and the distribution symmetry was
skewness and kurtosis. The next step is to choose appropriate correlation methods as
well as comparative methods. In addition, modeling of structural equations based on
the theoretical model of the study was applied [
        <xref ref-type="bibr" rid="ref23">23</xref>
        ].
      </p>
      <p>543 people took part in the study. 391 women and 152 men. 36 people were
in the 15-17 age group, 240 in the 18-20 age group, 209 in the 21-23 age group, and
58 in the 24-26 age group. 96 people lived in the village, 30 in a small town, 164 in
the middle and 253 in a big city. 341 people used two devices, 108 from one, and 94
from over three, on which they could surf the Internet. Normal distribution was not
obtained in the variables studied, therefore for non-parametric analysis
non-parametric statistics were used.</p>
      <p>The obtained results showed that self-esteem correlates positively with
Problematic Internet Use, rHO = 0.35 (p &lt;0.05). Persons between the ages of 15-17
have obtained the highest level of correlation, rHO = 0.49 (p &lt;0.05). For people aged
18-20, it was rHO = 0.30 (p &lt;0.05), aged 21-23 rHO = 0.39 (p &lt;0.05), and for people
aged 24-26 rHO 0.32 (p &lt;0.05). Women obtained rHO result = 0.33 (p &lt;0.05), lower
in relation to men, rHO = 0.39 (p &lt;0.05). In connection with the obtained results, the
first hypothesis was not confirmed and the results were obtained, demonstrating the
reverse dependence. As the suggested cause of such phenomena, the willingness of a
good fall out in the tests by the participants can be considered, which resulted in high
results on the scale of self-esteem.</p>
      <p>From the obtained results, all subscales and the general scale of insuperable
social support correlated statistically significantly. The general scale obtained a
negative correlation in relation to the Problematic Internet Use, amounting to rHO =
-0.29 (p &lt;0.05). The highest negative correlation was obtained by people from the
21-23 age range, rHO = -0.40 (p &lt;0.05). Women obtained statistically higher negative
correlations, rHO = -0.33 (p &lt;0.05), than men, rHO = -0.22. Material, attribution and
valuation subscales have obtained negative correlations with Problematic Internet
Use. The highest score was obtained by the material subscale, rHO = -0.35 (p &lt;0.05),
then the membership scale, rHO = -0.25 (P &lt;0.05), at the end of the valuation scale,
rHO = -0.10 ( p &lt;0.05). The self-assessment of self-esteem obtained a positive
correlation result of rHO = 0.13 (p &lt;0.05). People from the 21-23 age group obtained
the highest scores for all subscales. For the material scale, rHO = -0.43 (p &lt;0.05), rHO
affiliation = -0.30 (p &lt;0.05) and for the rHP rating scale = -0.21 (p &lt;0.05). There were
no statistically significant differences between men and women. The obtained results
confirm the second hypothesis. The third hypothesis was partially confirmed, due to
the fact that both self-assessment and the self-assessment subscale in social support
obtained positive correlations with Problematic Internet Use.</p>
      <p>In addition, the method of modeling structural equations gave satisfactory
results in terms of matching the theoretical model to the data. In brackets are given
values, within which must be obtained compass, so that you can infer about a good fit
of the model. The CMIN / DF factor was 3.07 (&lt;5), GFI = 0.993 (&gt; 0.90), CFI =
0.991 (&gt; 0.90), RMSEA = 0.062 (&lt;0.08).
6</p>
    </sec>
    <sec id="sec-6">
      <title>Conclusions</title>
      <p>Holistic models of understanding disorders are extremely valuable in research and in
practice. Due to the holistic view of the problem of disorder, it is possible not only to
effectively help those who have developed the disorder, but also to plan preventive
activities. In the case of Problematic use of the Internet, being much more focused on
effects, than on causes leads to narrowing the way of understanding this phenomenon.
The objectives of this study have been partially confirmed. Selected indicators of
perceived social support negatively correlate with Problematic Internet Use. In
addition, self-evaluation turned out to be positively correlated with the Problematic
Use of the Internet. The results of the study indicate the special importance of social
support in Problematic Internet Use, which is consistent with the results of other
studies addressing behavioral addictions and support.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Gross</surname>
            , E.,
            <given-names>F.</given-names>
          </string-name>
          :
          <article-title>Adolescent Internet use: What we expect, what teens report</article-title>
          .
          <source>Journal of applied developmental psychology, 2​5(​6)</source>
          ,
          <fpage>633</fpage>
          -
          <lpage>649</lpage>
          (
          <year>2004</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Douglas</surname>
            ,
            <given-names>A. C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mills</surname>
            ,
            <given-names>J. E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Niang</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Stepchenkova</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Byun</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ruffini</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lee</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Loufti</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lee</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Blanton</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          :
          <article-title>Internet addiction: Meta-synthesis of qualitative research for the decade 1996-2006</article-title>
          . Computers in human behavior,
          <volume>24</volume>
          (​6),
          <fpage>3027</fpage>
          -
          <lpage>3044</lpage>
          (
          <year>2008</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Caplan</surname>
            ,
            <given-names>S. E.</given-names>
          </string-name>
          :
          <article-title>Theory and measurement of generalized problematic Internet use: A two-step approach</article-title>
          .
          <source>Computers in Human Behavior, 2​6(​5)</source>
          ,
          <fpage>1089</fpage>
          -
          <lpage>1097</lpage>
          (
          <year>2010</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4. GUS,: Społeczeństwo informacyjne w Polsce.
          <source>Wyniki badań statystycznych z lat 2012-2016</source>
          , Warszawa: GUS. Internet
          <string-name>
            <surname>Standard</surname>
          </string-name>
          (
          <year>2016</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Livingstone</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bober</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          :
          <article-title>Regulating the internet at home: contrasting the perspectives of children and parents. Digital generations: Children, young people</article-title>
          , and new media,
          <fpage>93</fpage>
          -
          <lpage>113</lpage>
          (
          <year>2006</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Lavin</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Marvin</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mclarney</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nola</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Scott</surname>
          </string-name>
          , L.:
          <article-title>Sensation seeking and collegiate vulnerability to Internet dependence</article-title>
          .
          <source>CyberPsychology &amp; Behavior, 2(​5)</source>
          ,
          <fpage>425</fpage>
          -
          <lpage>430</lpage>
          (
          <year>1999</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Procidano</surname>
            ,
            <given-names>M. E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Heller</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          :
          <article-title>Measures of perceived social support from friends and from family: Three validation studies</article-title>
          .
          <source>American journal of community psychology, 1​1(​1)</source>
          ,
          <fpage>1</fpage>
          -
          <lpage>24</lpage>
          (
          <year>1983</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Swickert</surname>
            ,
            <given-names>R. J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hittner</surname>
            ,
            <given-names>J. B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Harris</surname>
            ,
            <given-names>J. L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Herring</surname>
            ,
            <given-names>J. A.</given-names>
          </string-name>
          :
          <article-title>Relationships among Internet use, personality, and social support</article-title>
          .
          <source>Computers in human behavior, 1​8(​4)</source>
          ,
          <fpage>437</fpage>
          -
          <lpage>451</lpage>
          (
          <year>2002</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Niemz</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Griffiths</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Banyard</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          :
          <article-title>Prevalence of pathological Internet use among university students and correlations with self-esteem, the General Health Questionnaire (GHQ), and disinhibition</article-title>
          .
          <source>Cyberpsychology &amp; behavior, 8​(​6)</source>
          ,
          <fpage>562</fpage>
          -
          <lpage>570</lpage>
          (
          <year>2005</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Van der Aa</surname>
          </string-name>
          , N.,
          <string-name>
            <surname>Overbeek</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Engels</surname>
            ,
            <given-names>R. C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Scholte</surname>
            ,
            <given-names>R. H.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Meerkerk</surname>
            ,
            <given-names>G. J.</given-names>
          </string-name>
          , Van den Eijnden, R. J.:
          <article-title>Daily and compulsive internet use and well-being in adolescence: a diathesis-stress model based on big five personality traits</article-title>
          .
          <source>Journal of youth and adolescence, 3​8(​6)</source>
          ,
          <volume>765</volume>
          (
          <year>2009</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>Gangadharbatla</surname>
          </string-name>
          , H.:
          <article-title>Facebook me: Collective self-esteem, need to belong, and internet self-efficacy as predictors of the iGeneration's attitudes toward social networking sites</article-title>
          .
          <source>Journal of interactive advertising, 8​(​2)</source>
          ,
          <fpage>5</fpage>
          -
          <lpage>15</lpage>
          (
          <year>2008</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Morahan-Martin</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          :
          <article-title>Internet abuse: addiction? disorder? symptom? alternative explanations?</article-title>
          .
          <source>Social Science Computer Review, 2​3(​1)</source>
          ,
          <fpage>39</fpage>
          -
          <lpage>48</lpage>
          (
          <year>2005</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          13.
          <string-name>
            <surname>Davis</surname>
            ,
            <given-names>R. A.</given-names>
          </string-name>
          :
          <article-title>A cognitive-behavioral model of pathological Internet use</article-title>
          .
          <source>Computers in human behavior, 1​7(​2)</source>
          ,
          <fpage>187</fpage>
          -
          <lpage>195</lpage>
          (
          <year>2001</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          14.
          <string-name>
            <surname>Hall</surname>
            ,
            <given-names>A. S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Parsons</surname>
          </string-name>
          , J.:
          <article-title>Internet addiction: College student case study using best practices in cognitive behavior therapy</article-title>
          .
          <source>Journal of mental health counseling, 23(​4)</source>
          ,
          <volume>312</volume>
          (
          <year>2001</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          15.
          <string-name>
            <surname>Du</surname>
            ,
            <given-names>Y. S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Jiang</surname>
            ,
            <given-names>W.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Vance</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Longer term effect of randomized, controlled group cognitive behavioural therapy for Internet addiction in adolescent students in Shanghai</article-title>
          .
          <source>Australian &amp; New Zealand Journal of Psychiatry, 4​4(​2)</source>
          ,
          <fpage>129</fpage>
          -
          <lpage>134</lpage>
          (
          <year>2010</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          16.
          <string-name>
            <surname>Bauman</surname>
            ,
            <given-names>Z.</given-names>
          </string-name>
          (
          <year>2013</year>
          ).
          <article-title>The individualized society</article-title>
          . John Wiley &amp; Sons.
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          17.
          <string-name>
            <surname>Diener</surname>
          </string-name>
          , E.:
          <article-title>Subjective well-being: The science of happiness and a proposal for a national index</article-title>
          .
          <source>American psychologist, 5​5(​1)</source>
          ,
          <volume>34</volume>
          (
          <year>2000</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          18.
          <string-name>
            <surname>Dumont</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Provost</surname>
            ,
            <given-names>M. A.</given-names>
          </string-name>
          :
          <article-title>Resilience in adolescents: Protective role of social support, coping strategies, self-esteem, and social activities on experience of stress and depression</article-title>
          .
          <source>Journal of youth and adolescence, 2​8(​3)</source>
          ,
          <fpage>343</fpage>
          -
          <lpage>363</lpage>
          (
          <year>1999</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          19.
          <string-name>
            <surname>Spada</surname>
            ,
            <given-names>M. M.:</given-names>
          </string-name>
          <article-title>An overview of problematic Internet use</article-title>
          .
          <source>Addictive behaviors, 39(​1)</source>
          ,
          <fpage>3</fpage>
          -
          <lpage>6</lpage>
          (
          <year>2014</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          20.
          <string-name>
            <surname>Oh</surname>
            ,
            <given-names>H. J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ozkaya</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>LaRose</surname>
          </string-name>
          , R.:
          <article-title>How does online social networking enhance life satisfaction? The relationships among online supportive interaction, affect, perceived social support, sense of community, and life satisfaction</article-title>
          .
          <source>Computers in Human Behavior</source>
          ,
          <volume>3</volume>
          ​
          <fpage>0</fpage>
          ,​
          <fpage>69</fpage>
          -
          <lpage>78</lpage>
          (
          <year>2014</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          21.
          <string-name>
            <surname>Frison</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Eggermont</surname>
            ,
            <given-names>S.:</given-names>
          </string-name>
          <article-title>The impact of daily stress on adolescents' depressed mood: The role of social support seeking through Facebook</article-title>
          .
          <source>Computers in Human Behavior</source>
          ,
          <volume>4</volume>
          ​
          <fpage>4</fpage>
          ,​
          <fpage>315</fpage>
          -
          <lpage>325</lpage>
          (
          <year>2015</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref22">
        <mixed-citation>
          22.
          <string-name>
            <surname>Marcia</surname>
            ,
            <given-names>J. E.</given-names>
          </string-name>
          :
          <string-name>
            <surname>Ego-Identity</surname>
            <given-names>Status</given-names>
          </string-name>
          :
          <article-title>Relationship to Change in Self-Esteem</article-title>
          . Social Encounters: Contributions to Social Interaction,
          <volume>3</volume>
          ​
          <fpage>40</fpage>
          ,​
          <fpage>100</fpage>
          -
          <lpage>137</lpage>
          (
          <year>2017</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref23">
        <mixed-citation>
          23.
          <string-name>
            <surname>Hair</surname>
            <given-names>Jr</given-names>
          </string-name>
          ,
          <string-name>
            <given-names>J. F.</given-names>
            ,
            <surname>Hult</surname>
          </string-name>
          ,
          <string-name>
            <given-names>G. T. M.</given-names>
            ,
            <surname>Ringle</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C.</given-names>
            ,
            <surname>Sarstedt</surname>
          </string-name>
          ,
          <string-name>
            <surname>M.:</surname>
          </string-name>
          <article-title>A primer on partial least squares structural equation modeling (PLS-SEM)</article-title>
          .
          <source>Sage Publications</source>
          (
          <year>2016</year>
          )
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>