Internet Gaming Disorder and Unmet Psychological Needs: Mediating Roles of Self-Esteem, Depression, and Escapism

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Abstract

Internet gaming disorder (IGD) is a widespread mental health issue especially among youth but its etiology remains unclear. The aim of this study was to test an integrative path model in which basic universal psychological needs of competence, autonomy, and relatedness predict IGD through the serial mediation of self-esteem, depression, and escape motivation. Study design was cross-sectional. A total of 331 Turkish gamers whose mean age was 22.7 years (SD=4.73) were recruited through purposive sampling. Among the participants, 57.1% (n=189) were male and 42.9% (n=142) were female. Online standardized self-report questionnaires for measuring IGD, gaming motivations, basic psychological needs satisfaction, self-esteem, and depression were filled out by the participants. In this regard, a personal information form, the Internet Gaming Disorder Scale-Short Form, Motives for Online Gaming Questionnaire, Basic Psychological Need Satisfaction Scale-In General, Rosenberg Self-Esteem Scale, and the Hospital Anxiety Depression Scale-Depression Subscale were administered. Men had higher mean IGD and gaming motivations scores compared to women. It was found that self-esteem, depression, and escapism serially mediated the association between basic psychological needs and IGD. The contribution of the findings to the relevant literature and clinical implications were discussed.

General Information

Keywords: internet gaming disorder, addiction, self-determination theory, motivation, escapism, depression, self-esteem, basic psychological need satisfaction

Journal rubric: Empirical Research

Article type: scientific article

DOI: https://doi.org/10.17759/cpse.2024130205

Acknowledgements. This manuscript was derived from the second author’s unpublished Master’s thesis.

Received: 23.04.2024

Accepted:

For citation: Gedik Z., Gulec M. Internet Gaming Disorder and Unmet Psychological Needs: Mediating Roles of Self-Esteem, Depression, and Escapism [Elektronnyi resurs]. Klinicheskaia i spetsial'naia psikhologiia = Clinical Psychology and Special Education, 2024. Vol. 13, no. 2, pp. 76–93. DOI: 10.17759/cpse.2024130205.

Full text

Introduction

Internet Gaming Disorder (IGD) is defined as excessive video gaming leading to loss of functionality [68]. IGD has been included in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) as a condition requiring further investigation [2]. In the International Classification of Diseases-11 (ICD-11), the World Health Organization (WHO) also described problematic gaming under the umbrella term of gaming disorder [49]. Previous studies used non-standardized terms such as gaming addiction, gaming dependency, problematic video gaming, etc. to denote the same phenomenon [20; 53; 72]. However, IGD is the most accepted and relevant term [40]. Thus, the term IGD is used in the current study. Despite lack of consensus on the term, it is well known that excessive gaming disrupts work life, education, and social relationships as well as physical and psychological well-being [49; 50; 74; 90].

Prevalence of IGD varies around the world. In a meta-analysis examining 20 studies from 11 different countries, the prevalence of IGD was found to vary between 0.7% and 27.5% [55]. In Turkiye, the prevalence of IGD was reported to be between 2.4% and 11.8% [9; 34]. Studies conducted both in Turkiye and in other countries showed that IGD is more prevalent in men than in women. IGD is also more prevalent in adolescents and young adults than in middle-aged people [37; 67].

The complex etiology of IGD has not been fully elucidated [67]. Combination of genetic, neurobiological, social, cognitive, and developmental processes, and features associated with game genres contribute to the development of IGD [14; 19; 29; 33; 44; 53; 86]. Researchers have attempted to explain the etiology of IGD using different models [48; 62; 67; 94]. One such theoretical framework attempting to elucidate IGD from an addiction perspective is the Interaction of Person-Affect-Cognition-Execution (I-PACE) model [16]. I-PACE is a process model which stipulates that addiction to specific Internet functions arises from an interaction between personal core characteristics (such as genetics, stress vulnerability, psychopathology, personality, social cognitions, and motives for using the Internet), subjective perceptions and affective and cognitive responses pertaining to Internet-related stimuli, as well as several mediators and moderators including coping, reduced executive control, and Internet-related cognitive biases [15].

Specific motivational theories may enhance our understanding of the development and maintenance of IGD. Previous studies utilized Self-Determination Theory (SDT) to determine both positive and negative effects of online gaming on well-being [1; 63; 77; 80; 85]. SDT is a psychological macro-theory developed by Deci and Ryan in order to explain personality and individual motivations underlying behaviors [25; 27]. One of the mini theories of SDT, which was utilized in the gaming literature, is called the Basic Psychological Needs Theory (BPNT) [78]. BPNT posits that there are three universal psychological needs: autonomy (a sense of volition or willingness), competence (a need for challenge and feelings of effectance), and relatedness (feeling connected with others) [26; 77]. Satisfaction of these needs are essential for well-being [66; 73; 75; 84]. Thwarting of needs in real life may prompt people to turn to online video games to satisfy these needs. Various studies reported that low need satisfaction in real life is associated with both IGD and other technological addictions, including problematic smartphone use and social media addiction [23; 32; 42; 65]. Thus the main assumption of the current study is that low satisfaction of basic psychological needs is associated with IGD either directly or through mediators.

In the I-PACE model, motives for Internet use are among the core characteristics of the person which may create a predisposition to addiction. However, the model is not specific to IGD and does not include gaming motivations. Gaming motivations have been classified in different ways [54; 58; 92; 93]. Yee’s tridimensional framework for gaming motivations encompass achievement (advancement and competition), social (socializing, relationship, and teamwork), and immersion (discovery, customization, and escapism) motivations [92; 93]. However, this model was criticized for being specific to massively multiplayer online role-playing games (MMORPG) as well as abandoning the escape motivation, which is of clinical significance in terms of IGD and comorbid psychopathology [5; 7; 36; 61; 89]. On the other hand, Demetrovics et al. [28] postulated that gaming satisfied basic human needs such as having fun, relating to others during game interactions, and feeling competent due to in-game achievements; which are in line with SDT. Demetrovics et al. [28] empirically classified seven dimensions of gaming motivations: escapism (avoiding real life problems and undesirable inner experiences), coping (coping with negative emotions), social (being with and playing with others), competition (competing with and defeating others in order to feel a sense of achievement), fantasy (trying new identities and behaviors in a fantasy world), recreation (enjoying the game), and skill development (improving concentration and coordination).

Previous research demonstrated that gaming motivations including escapism and immersion/fantasy contribute to IGD [5; 74; 89]. While some gaming motivations lead to IGD, others may not be problematic for game users [7; 22]. Gaming motivations, escapism in particular, may mediate the association of low basic psychological need satisfaction to IGD. In one study, it was found that the escape, coping, social, competition, and skill development motivations mediated the relationship between IGD and basic psychological need satisfaction [85]. Knowledge derived from empirical as well as theoretical research indicates that escape motivation, which means playing games in order to avoid real-life difficulties, is more strongly associated with IGD compared to other gaming motivations.

In the current study, it was hypothesized that low satisfaction of basic psychological needs is associated with IGD both directly and through escape motivation as mediator. Based on the literature, other significant risk factors for IGD, including psychopathologies and low self-esteem, may also be mediators. The I-PACE model postulates that psychopathologies including depression, anxiety, and attention deficit hyperactivity disorder (ADHD) predispose one to addiction. Empirical studies proved that IGD is associated with depression [6; 18; 23; 32; 56]. Individuals with depression were reported to use video games as a maladaptive coping strategy [69]. In another study, escape coping mediated the relationship between IGD and depression [59]. As for self-esteem, research showed that lower levels is a risk factor for IGD [47; 76; 83]. Individuals with lower self-esteem tend to create game avatars that align with their ideal selves rather than their real selves, which in turn increases IGD risk [10; 13; 83]. Also, SDT suggests that the prolonged lack of satisfaction in basic psychological needs results in low self-esteem [27].

In sum, drawing insights from the SDT, the I-PACE model, and the gaming motivations literature, the current study sought to gain a better understanding of IGD. An integrative path model was developed in order to test the following hypotheses (see Fig. 1):

  1. Satisfaction of basic psychological needs is negatively associated with IGD.
  2. The association between inadequate satisfaction of needs and IGD is serially mediated by depression and escape motivation.
  3. The association between inadequate satisfaction of needs and IGD is mediated by self-esteem.
  4. The association between inadequate satisfaction of needs and IGD is serially mediated by self-esteem, depression, and escape motivation.

Fig. 1. Proposed integrative path model.

Method

Participants and Procedures

The current empirical study had a cross-sectional design. The purposive sampling method was used in order to recruit online video gamers. Prior to data collection, ethical permission to conduct the study was obtained from Izmir Katip Celebi University’s Board of Ethics for Social Sciences. An online compendium of questionnaires in Turkish was shared with participants through online video game forums, in-game communication channels, and chat groups. Written informed consent was obtained from all participants. Inclusion criteria were being 18 years of age or older and playing online video games. A total of 490 participants filled the questionnaires. However, it was determined that 23 participants filled them out without reading it. Additionally, 136 participants did not meet the inclusion criteria. Analyses were conducted with the remaining 331 participants.

Mean age of the participants was 22.7 years (SD=4.73, min=18, max=70). Among the participants, 57.1% (n=189) were male and 42.9% (n=142) were female. It was found that 58% (n=192) were single and 42% (n=139) were in a romantic relationship. Among the participants, 58% (n=194) had a Bachelor's degree, 35.3% (n=117) had a high school degree, 3% (n=10) had a two-year university degree, and 3% (n=10) had a graduate degree. It was found that 72.2% (n=239) were not currently employed.

Participants reported playing an average of 2.82 hours of games per day (SD=2.14, min=1, max=14), with their longest continuous gaming experience lasting for an average of 5.95 hours (SD=3.88, min=1, max=15). The average duration of their experience with online multiplayer games was 7.20 years (SD=4.15, min=1, max=12). As for the participants' first-choice game genres, it was found that 34.1% (n=113) preferred first-person shooter games (FPS), 16.3% (n=54) preferred multiplayer online battle arena games (MOBA), 12.7% (n=42) preferred MMORPGs, 12.7% (n=42) preferred sports games, 5.1% (n=17) preferred real-time strategy games (RTS), and 19% (n=63) preferred other games. Among the participants, 81% (n=268) reported playing online video games with their real-life friends.

Measures

Personal Information Form. This form was prepared by the authors in order to collect data on sociodemographic and game-related characteristics. The form included questions about sex, age, educational level, employment status, relationship status, most preferred game genre, whether they played online games with their friends or not, daily time spent on games, and duration of longest game play.

Internet Gaming Disorder Scale-Short Form (IGDS-SF). IGDS-SF measures the symptoms and severity of IGD occurring over a 12-month period [70]. This 9-item, 5-point Likert-type scale is unidimensional. Higher scores indicate risk for IGD. The Turkish version of the scale was found to be valid and reliable [34]. In the current study (n=331), Cronbach's alpha for the IGDS-SF was found to be 0.88.

Motives for Online Gaming Questionnaire (MOGQ). MOGQ measures the motivational basis of online gaming [28]. The MOGQ is a self-report, 27-item, 5-point Likert-type scale including seven motivational dimensions: social, escape, competition, coping, skill development, fantasy, and recreation. The Turkish version of the scale was found to be valid and reliable [35]. In the current study, Cronbach's alpha for social, escape, competition, coping, skill development, fantasy, and recreation subscales were found as 0.81, 0.90, 0.87, 0.79, 0.89, 0.86, 0.90; respectively.

Basic Psychological Need Satisfaction Scale-In General (BPNSS). BPNSS was designed to measure the satisfaction of three basic psychological needs: competence, autonomy, and relatedness [25; 38]. The BPNSS is a 21-item, 7-point Likert-type scale. A total score as well as subscale scores can be calculated. Higher scores indicate that needs are adequately met. The Turkish version of the scale was found to be valid and reliable [4]. In the current study, Cronbach's alpha for autonomy, competence, relatedness, and total need satisfaction were found to be 0.74, 0.66, 0.75, and 0.85, respectively.

Rosenberg Self-Esteem Scale (RSS). The RSS is unidimensional and consists of 10 items. The Turkish version of the RSS was found to be valid and reliable [24]. In the present study, Cronbach's alpha for the RSS was found as 0.86.

Hospital Anxiety Depression Scale – Depression Subscale (HAD-D). The HAD assesses depression and anxiety [95]. The Turkish adaptation of the scale was conducted by Aydemir et al. [3]. In the current study, only the depression subscale was used. Cronbach's alpha for the depression subscale was 0.71 in the current sample.

Statistical Analysis

The SPSS 25 software and AMOS 22 were used for data analyses. Initially, to determine whether the data had a normal distribution, measures of kurtosis and skewness were examined. As the kurtosis and skewness values of the study variables fell within the range of +2 and -2, it was assumed that the data had a normal distribution [39]. Independent samples t-test was used to examine gender differences. Pearson product-moment correlations between continuous variables were calculated. Statistical significance was set at p<0.05. Subsequently, a path analysis, which is a form of Structural Equation Modeling (SEM), was conducted to test the study hypotheses. In SEM, goodness-of-fit indices are used for assessing model fit. Model fit was examined using the following indices: chi-square divided by degrees of freedom (0≤c2/df≤2), root mean square error of approximation (RMSEA<0.08), goodness of fit index (GFI>0.90), adjusted goodness of fit index (AGFI>0.90), standardized root mean square residual (SRMR<0.08), comparative fit index (CFI>0.90), normed fit index (NFI>0.90), and Tucker-Lewis index (TLI>0.90) [8; 11; 12; 17; 51; 60; 81].

Results

Descriptive Statistics and Gender Differences

The participants' mean scores on IGDS-SF, MOGQ subscales, HAD-D, BPNSS, and RSS, as well as gender-based differences, were presented in Table 1. Men had significantly higher IGDS-SF scores than women (t(329)=-6.05, p<0.001). There were no significant differences in total and subscale BPNSS scores by gender. Mean escape motivation score of men was significantly higher compared to women (t(329)=-2.72, p<0.01). Men also scored significantly higher on the fantasy, social, competition, skill development, coping, and recreation motivations compared to women (t(329)=-4.81, p<0.001; t(329)=-7.35, p<0.001; t(329)=-6.23, p<0.001; t(329)=-5.79, p<0.001; t(329)=-4.15, p<0.001; t(329)=-5.59, p<0.001; respectively). Men also had significantly higher depression scores compared to women (t(329)=-2.51, p<0.05).

Table 1. Descriptive statistics and gender differences

Variable

Total Sample

(n=331)

Women

(n=142)

Men

(n=189)

t

X

SD

X

SD

X

SD

IGDS-SF

17.87

7.20

15.24

6.24

19.79

7.25

-6.05***

BPNSS Total Score

104.38

16.63

104.73

15.29

104.16

17.64

0.31

BPNSS Autonomy

29.87

6.37

29.85

6.26

29.95

6.44

-0.13

BPNSS Competence

28.35

5.83

28.10

5.43

28.57

6.11

-0.73

BPNSS Relatedness

46.14

7.79

46.76

7.16

45.63

8.23

1.31

MOGQ-Escape

10.20

4.75

9.39

4.51

10.80

4.86

-2.72**

MOGQ-Fantasy

7.85

4.22

6.60

3.60

8.78

4.41

-4.81***

MOGQ-Social

8.36

3.67

6.77

2.66

9.55

3.86

-7.35***

MOGQ-Competition

10.94

4.46

9.27

3.97

12.20

4.41

-6.23***

MOGQ-Skill

9.83

4.49

8.25

3.65

11.01

4.70

-5.79***

MOGQ-Coping

10.79

3.86

9.80

3.54

11.54

3.92

-4.15***

MOGQ-Recreation

11.99

2.93

11.00

3.00

12.74

2.65

-5.59***

Depression

7.06

3.67

6.48

3.56

7.50

3.71

-2.51*

Self-Esteem

4.50

1.64

4.45

1.55

4.56

1.69

-0.62

Notes. * — p<0.05, ** — p<0.01, *** — p<0.001; IGDS-SF — Internet Gaming Disorder Scale-Short Form, BPNSS — Basic Psychological Need Satisfaction Scale, MOGQ — Motives for Online Gaming Questionnaire.

Table 2. Pearson product-moment correlations between study variables

Variable

1

2

3

4

5

6

7

8

9

10

11

1                     

IGDS-SF

1

-,34***

,61***

,63***

,46***

,48***

,52***

,35***

,40***

,33***

-,37***

2                     

BPNSS

-

1

-,37***

-,33***

-,03

-,11*

-,22***

-,04

-,01

-,54***

,62***

3                     

M-E

-

-

1

,74***

,48***

,50***

,75***

,43***

,51***

,34***

-,39***

4                     

M-F

-

-

-

1

,55***

,45***

,66***

,38***

,54***

,28***

-,27***

5                     

M-SOC

-

-

-

-

1

,54***

,54***

,46***

,64***

,06

-,03

6                     

M-COM

-

-

-

-

-

1

,63***

,53***

,57***

,16**

-,12*

7                     

M-COP

-

-

-

-

-

-

1

,60***

,59***

,24***

-,25***

8                     

M-R

-

-

-

-

-

-

-

1

,47***

,12*

-,09

9                     

M-SD

-

-

-

-

-

-

-

-

1

,12*

-,04

10                 

DEP

-

-

-

-

-

-

-

-

-

1

-,55***

11                 

SE

-

-

-

-

-

-

-

-

-

-

1

Notes. * — p<0.05, ** — p<0.01, *** — p<0.001; IGDS-SF — Internet Gaming Disorder Scale-Short Form, BPNSS — Basic Psychological Need Satisfaction Scale, M-E — Escape motivation, M-F — Fantasy motivation, M-SOC — Social motivation, M-COM — Competition motivation, M-COP — Coping motivation, M-R — Recreation motivation, M-SD — Skill development motivation, DEP — Depression, SE — Self-esteem.

Path Analysis

The proposed integrative path model for explaining IGD (see Fig. 1) was tested using the AMOS software. According to analysis, the model did not show good fit (c2/df=could not be calculated, GFI=0.53, AGFI=0.30, NFI=1.00, CFI=1.00, TLI=could not be calculated, SRMR=0.00, RMSEA=0.40). Examination of estimates showed that paths from depression to IGD and from BPNS to IGD were insignificant (p>0.05). These paths were removed from the model and analysis was rerun. The revised model showed excellent fit (c2/df=1.46, GFI=0.99, AGFI=0.97, NFI=0.99, CFI=0.99, TLI=0.99, SRMR=0.01, RMSEA=0.03). Standardized beta weights were shown in Fig. 2. Satisfaction of basic psychological needs directly and significantly predicted depression, escapism, and self-esteem. Self-esteem directly and significantly predicted depression, IGD, and escapism. Depression directly and significantly predicted escape motivation, while the escape motivation directly and significantly predicted IGD. The effect of basic psychological need satisfaction on IGD was serially mediated by self-esteem, depression and escape motivation. This effect was also serially mediated by depression and escape motivation. In addition, the association between inadequate satisfaction of basic psychological needs and IGD was mediated by self-esteem.


Fig. 2. Revised path model with standardized β coefficients

Based on the above analyses, hypothesis 1 (H1) was rejected since satisfaction of basic psychological needs was not directly associated with IGD. Hypothesis 2 (H2) was accepted as the association between inadequate satisfaction of basic psychological needs and IGD was serially mediated by depression and escape motivation. Hypothesis 3 (H3) was also accepted as the association between inadequate satisfaction of basic psychological needs and IGD was mediated by self-esteem. Finally, hypothesis 4 (H4) was accepted as the association between inadequate satisfaction of basic psychological needs and IGD was serially mediated by self-esteem, depression, and escape motivation.

Discussion

The main aim of the current study was to investigate relationships between IGD, basic psychological need satisfaction, depression, self-esteem, and escape motivation through an integrative path model. It was hypothesized that (1) satisfaction of basic psychological needs is negatively associated with IGD; (2) the association between inadequate satisfaction of needs and IGD is serially mediated by depression and escape motivation; (3) the association between inadequate satisfaction of needs and IGD is mediated by self-esteem; and (4) the association between inadequate satisfaction of needs and IGD is serially mediated by self-esteem, depression, and escape motivation. Results of the path analysis provided support for H2, H3, and H4, while H1 was rejected. Satisfaction of basic psychological needs of autonomy, competence, and relatedness did not directly predict IGD but had indirect effects on the outcome variable through serial mediators; namely, self-esteem, depression, and escape motivation. Inadequate satisfaction of basic psychological needs reduces self-esteem, which in turn leads to depression. Depression results in playing online video games with the motivation to escape from real-life problems and this, in turn, leads to excessive online gaming.

Analysis yielded other paths of mediation between inadequate satisfaction of basic psychological needs and IGD. These paths included self-esteem as sole mediator; escape motivation as sole mediator; and depression and escape motivation as serial mediators. Thwarting of basic psychological needs in real life depletes self-esteem and this, in turn, leads to IGD. Similarly, thwarting of basic psychological needs leads to playing online games with the motivation to escape from real-life problems, which in turn leads to IGD. Finally, inadequate satisfaction of basic needs may result in depressive symptoms, which leads to escapism and then to IGD.

Previous research provided support for the above findings. Empirical studies found that young people whose basic psychological needs are unmet in daily life indulge in online video games [41; 57; 64; 71; 85; 87;91]. The role of self-esteem in IGD development is also evident [45; 46; 52]. Several studies reported a mediating effect of depression on IGD [21; 36; 79; 80]. These reports are all in line with the results of the current study.

In one study, a serial mediation between basic psychological need satisfaction deficits and IGD through self-esteem and depression was reported [80]. The researchers found that need satisfaction deficits reduced self-esteem, which elucidated depressive symptoms and this led to IGD. In our path model, depression was not a significant predictor of IGD but had an indirect effect on IGD through escapism. It can be speculated that depressive symptomatology does not lead to IGD in the absence of escape motivation. The clinical significance of the escape motivation was also indicated in meta-analyses of gaming motivations and IGD [61; 89]. The current study provided support for the clinical importance of escapism in terms of IGD. Individuals whose basic psychological needs are unmet have lower self-esteem, which predisposes them to depression. In order to cope with disordered mood and real-life problems, they turn to online video games, which seem to serve as a distraction. Thus, excessive gaming is negatively reinforced as a way of escaping from psychosocial problems [43; 82]. Furthermore, the current study supported the notion that escapism is among the defining symptoms of IGD as proposed by the DSM-5.

In the current study, it was found that men had higher levels of IGD than women. This finding is consistent with other research [31; 88]. Similar to chemical addictions and gambling, being male is a risk factor for IGD. Men may be more susceptible to addiction-related cues such as advertisements, whereas women engage in addictive behaviors due to emotion dysregulation [30]. Men also had higher gaming motivation scores across all seven dimensions compared to women.

In terms of IGD, clinical implications can be deduced from the findings of the study at hand. Psychosocial interventions in either individual or group format can prioritize finding alternatives to escapism among risk groups with lowered self-esteem and unmet basic psychological needs. Cognitive behavioral interventions which focus on expanding one’s coping repertoire can be especially beneficial in reducing escapism. Acquisition of various coping skills would also contribute to self-esteem and the capacity to meet basic psychological needs in daily life, which would in turn protect one against IGD and depressive symptoms.

There are certain limitations to the current study. First, the study design was cross-sectional. Since excessive gaming tends to begin in young ages, future studies may employ longitudinal designs in order to examine developmental tracks leading to IGD in terms of Self-Determination Theory. Also, such designs would allow researchers to make causal inferences. Second, the sample size of the current study reduces the generalizability of the findings. Third, due to sample size limitations, statistical comparisons based on game genres could not be conducted, albeit it is reported that certain game genres such as MMORPGs and FPS games are more closely related to IGD. Finally, since it was aimed to test our model among adult gamers, we set the inclusion criteria for age as being 18 or older. The final sample included gamers aged between 18–70 years old. This range includes gamers from different developmental periods including emerging adulthood, adulthood, middle adulthood, and advanced adulthood. Albeit 88.2% of the participants were aged between 18–25 and the mean age of the sample was 22.7 (SS=4.73), which corresponds to both emerging adulthood and adulthood, age or developmental characteristics of the participants may have acted as a confounding variable in the current study. This limitation may be addressed in future studies via using different developmental clusters of participants and comparing their data.

In conclusion, IGD is a significant mental health issue throughout the world, especially among youth. Excessive gaming is a behavioral addiction which disrupts normal life. Better understanding the causes of this condition is necessary for its treatment and prevention. This study aimed to test an integrative model of IGD, in which thwarting of basic universal psychological needs of relatedness, autonomy, and competency disrupts self-esteem and mood, which in turn results in escapism and excessive gaming. Accordingly, psychotherapeutic interventions addressing the factors in this integrative model may prove to be beneficial.

References

  1. Allen J.J., Anderson C.A. Satisfaction and frustration of basic psychological needs in the real world and in video games predict internet gaming disorder scores and well-being. Computers in Human Behavior, Vol. 84, pp. 220–229. DOI: 10.1016/j.chb.2018.02.034
  2. American Psychiatric Association. Diagnostic and statistical manual of mental disorders (5th ). Washington DC: American Psychiatric Association Publ., 2013. 947 p. DOI: 10.1176/appi.books.9780890425596
  3. Aydemir O., Guvenir T., Kuey L. et al. Hastane anksiyete depresyon olcegi Turkce formunun gecerlik ve guvenirlik calismasi [Validity and reliability study of the Turkish form of the hospital anxiety depression scale]. Turkish Journal of Psychiatry, Vol. 8 (4), pp. 280–287. (In Turkish, Abstr. in Engl.)
  4. Bacanli H., Cankaya-Cihangir Z. Ihtiyac doyum olcegi uyarlama calismasi [Need satisfaction scale adaptation study]. Proceedings of the 7th National Psychological Counseling and Guidance Congress (Malatya, 9–11 July 2003). Ankara: Pegem Publ., 2003. P. 25. (In Turkish).
  5. Backlund C., Elbe P., Gavelin H.M. et al. Gaming motivations and gaming disorder symptoms: A systematic review and meta-analysis. Journal of Behavioral Addictions, Vol. 11 (3), pp. 667–688. DOI: 10.1556/2006.2022.00053
  6. Bahrainian S.A., Haji Alizadeh K., Raeisoon M.R. et al. Relationship of Internet addiction with self-esteem and depression in university students. Journal of Preventive Medicine and Hygiene, 2014. Vol. 55 (3), pp. 86–89.
  7. Ballabio M., Griffiths M.D., Urban R. et al. Do gaming motives mediate between psychiatric symptoms and problematic gaming? An empirical survey study. Addiction Research & Theory, 2017. Vol. 25 (5), pp. 397–408. DOI: 10.1080/16066359.2017.1305360
  8. Baumgartner H., Homburg C. Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 1996. Vol. 13 (2), pp. 139–161. DOI: 10.1016/0167-8116(95)00038-0
  9. Baysak E., Kaya Yertutanol F.D., Sahiner I.V. et al. Çevrimiçi oyun oynayanların sosyodemografik özellikleri ve oyun bağımlılığının bazı psikososyal etmenlerle ilişkisi [Sociodemographic characteristics of online game players and the relationship of game addiction with some psychosocial factors]. The Journal of Clinical Psychiatry, 2020. Vol. 23 (2), pp. 196–203. DOI: 10.5505/kpd.2020.10337 (In Turkish, abstr. in Engl.)
  10. Beard C.L., Wickham R.E. Gaming-contingent self-worth, gaming motivation, and Internet Gaming Disorder. Computers in Human Behavior, 2016. Vol. 61 (4), pp. 507–515. DOI: 10.1016/j.chb.2016.03.046
  11. Bentler P.M. Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology, 1980. Vol. 31 (1), pp. 419–456. DOI: 10.1146/annurev.ps.31.020180.002223
  12. Bentler P.M., Bonett D.G. Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 1980. Vol. 88 (3), pp. 588–606. DOI: 10.1037/0033-2909.88.3.588
  13. Bessière K., Seay A.F., Kiesler, S. The ideal elf: Identity exploration in World of Warcraft. Cyberpsychology and Behavior, 2007. Vol. 10 (4), pp. 530–535. DOI: 10.1089/cpb.2007.9994
  14. Billieux J., Thorens G., Khazaal Y. et al. Problematic involvement in online games: A cluster analytic approach. Computers in Human Behavior, 2015. Vol. 43, pp. 242–250. DOI: 10.1016/j.chb.2014.10.055
  15. Brand M., Young K.S., Laier C. et al. Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 2016. Vol. 71, pp. 252–266. DOI: 10.1016/j.neubiorev.2016.08.033
  16. Brand M., Wegmann E., Stark R. et al. The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience & Biobehavioral Reviews, 2019. Vol. 104, pp. 1–10. DOI: 10.1016/j.neubiorev.2019.06.032
  17. Browne M.W., Cudeck R. Alternative ways of assessing model fit. In Bollen K.A., Long J.S. (eds.), Testing structural equation models. Beverly Hills, California: Sage Publ., 1993. Pp. 136–162.
  18. Brunborg G.S., Mentzoni R.A., Frøyland L.R. Is video gaming, or video game addiction, associated with depression, academic achievement, heavy episodic drinking, or conduct problems? Journal of Behavioral Addictions, 2014. Vol. 3 (1), pp. 27–32. DOI:1556/jba.3.2014.002
  19. Cai C., Yuan K., Yin J. et al. Striatum morphometry is associated with cognitive control deficits and symptom severity in internet gaming disorder. Brain Imaging and Behavior, 2016. Vol. 10 (1), pp. 12–20. DOI: 10.1007/s11682-015-9358-8
  20. Charlton J.P., Danforth I.D.W. Distinguishing addiction and high engagement in the context of online game playing. Computers in Human Behavior, 2007. Vol. 23 (3), pp. 1531–1548. DOI: 10.1016/j.chb.2005.07.002
  21. Chen C., Dai S., Shi L. et al. Associations between attention deficit/hyperactivity disorder and Internet gaming disorder symptoms mediated by depressive symptoms and hopelessness among college students. Neuropsychiatric Disease and Treatment, 2021. V 17, pp. 2775–2782. DOI: 10.2147/NDT.S325323
  22. Chen S., Zhu S. Unravelling the intricacies between gaming motivations and internet gaming disorder symptoms in adolescents: A network analysis of 2-year healthy and deteriorating transition profiles. Child and Adolescent Psychiatry and Mental Health, 2023. Vol. 17 (1), p. 122. DOI: 10.1186/s13034-023-00671-2
  23. Cudo A., Szewczyk M., Błachnio A. et al. The role of depression and self-esteem in Facebook intrusion and gaming disorder among young adult gamers. Psychiatric Quarterly, 2020. Vol. 91 (1), pp. 65–76. DOI: 10.1007/s11126-019-09685-6
  24. Cuhadaroglu F. Adolesanlarda benlik saygısı [Self-esteem among adolescents]. MSc (Psychiatry) thesis. Ankara, 1986. 92 p. (In Turkish)
  25. Deci E.L., Ryan R.M. The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 2000. Vol. 11 (4), pp. 227–268. DOI: 10.1207/S15327965PLI1104_01
  26. Deci E.L., Ryan R.M. Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology, 2008. Vol. 49 (3), pp. 182–185. DOI: 10.1037/a0012801
  27. Deci E.L., Ryan R.M. Self-determination theory. In: Van Lange P.A.M., Kruglanski A.W., Higgins E.T. (eds.), Handbook of theories of social psychology. Volume I. Los Angeles: Sage Publ., 2012. Pp. 416–437.
  28. Demetrovics Z., Urban R., Nagygyorgy K. et al. Why do you play? The development of the motives for online gaming questionnaire (MOGQ). Behavior Research Methods, 2011. Vol. 43 (3), pp. 814–825. DOI: 10.3758/s13428-011-0091-y
  29. Domahidi E., Festl R., Quandt T. To dwell among gamers: Investigating the relationship between social online game use and gaming-related friendships. Computers in Human Behavior, 2014. Vol. 35 (4), pp. 107–115. DOI: 10.1016/j.chb.2014.02.023
  30. Dong G., Wang L., Du X. et al. Gender-related differences in neural responses to gaming cues before and after gaming: Implications for gender-specific vulnerabilities to Internet gaming disorder. Social Cognitive and Affective Neuroscience, 2018. Vol. 13 (11), pp. 1203–1214. DOI: 10.1093/scan/nsy084
  31. Dong G.H., Potenza M.N. Considering gender differences in the study and treatment of Internet gaming disorder. Journal of Psychiatric Research, 2022. Vol. 153, pp. 25–29. DOI: 10.1016/j.jpsychires.2022.06.057
  32. Edmunds J., Ntoumanis N., Duda J.L. Examining exercise dependence symptomatology from a self-determination perspective. Journal of Health Psychology, 2006. Vol. 11 (6), pp. 887–903. DOI: 10.1177/1359105306069091
  33. Eichenbaum A., Kattner F., Bradford D. et al. Role-playing and real-time strategy games associated with greater probability of Internet gaming disorder. Cyberpsychology, Behavior, and Social Networking, 2015. Vol. 18 (8), pp. 480–485. DOI: 10.1089/cyber.2015.0092
  34. Evren C., Dalbudak E., Topcu M. et al. Psychometric validation of the Turkish nine-item Internet Gaming Disorder Scale–Short Form (IGDS9-SF). Psychiatry Research, 2018. Vol. 265, pp. 349–354. DOI: 10.1016/j.psychres.2018.05.002
  35. Evren C., Evren B., Dalbudak E. et al. Psychometric validation of the Turkish Motives for Online Gaming Questionnaire (MOGQ) across university students and video game players. ADDICTA: The Turkish Journal on Addictions, Vol. 7 (2), pp. 81–89. DOI: 10.5152/ADDICTA.2020.19093
  36. Fazeli S., Zeidi I. M., Lin, C.-Y. et al. Depression, anxiety, and stress mediate the associationsbetween internet gaming disorder, insomnia, and quality of life during the COVID-19 outbreak. Addictive Behaviors Reports, 2020. Vol. 12, p. 100307. DOI: 10.1016/j.abrep.2020.100307
  37. Festl R., Scharkow M., Quandt T. Problematic computer game use among adolescents, younger and older adults. Addiction, 2013. Vol. 108 (3), pp. 592–599. DOI: 10.1111/add.12016
  38. Gagné M. The role of autonomy support and autonomy orientation in prosocial behavior Motivation and Emotion, 2003. Vol. 27, pp. 199–223. DOI: 10.1023/A:1025007614869
  39. George D., Mallery M. SPSS for Windows step-by-step: A simple guide and reference. Boston: Pearson Publ., 2010. 386 p.
  40. Griffiths M., King D., Demetrovics Z. DSM-5 Internet gaming disorder needs a unified approach to assessment. Neuropsychiatry, 2014. Vol. 4 (1), pp. 1–4. DOI: 10.2217/npy.13.82
  41. Gu J., Wang H., Xu Y. et al. Childhood maltreatment, basic psychological needs satisfaction, Internet addiction and internalizing problems. Journal of Applied Developmental Psychology, 2023. Vol. 86, p. 101533. DOI: 10.1016/j.appdev.2023.101533
  42. Gugliandolo M.C., Costa S., Kuss D.J. et al. Technological addiction in adolescents: The interplay between parenting and psychological basic needs. International Journal of Mental Health and Addiction, 2020. Vol. 18, pp. 1389–1402. DOI: 10.1007/s11469-019-00156-4
  43. Hagstrom D., Kaldo V. Escapism among players of MMORPGs — conceptual clarification, its relation to mental health factors, and development of a new measure. Cyberpsychology, Behavior, and Social Networking, 2014. Vol. 17 (1), pp. 19–25. DOI: 10.1089/cyber.2012.0222
  44. Jiang Q., Leung L. Effects of individual differences, awareness-knowledge, and acceptance of Internet addiction as a health risk on willingness to change Internet habits. Social Science Computer Review, 2012. Vol. 30 (2), pp. 170–183. DOI: 10.1177/0894439311398440
  45. Kavanagh M., Brett C., Brignell C. What is the reported relationship between self-esteem and gaming disorder? A systematic review and meta-analysis. Computers in Human Behavior, 2023. Vol. 145, p. 107776. DOI: 10.1016/j.chb.2023.107776
  46. Kavanagh M., Brett C., Brignell C. The role of self-esteem in triggering and maintaining gaming for people with gaming disorder cut-off scores and above average gaming disorder scores: A quasi-experimental study. Computers in Human Behavior, 2024. Vol. 152 (C), p. 108051. DOI: 10.1016/j.chb.2023.108051
  47. Kim H.-K., Davis K.E. Toward a comprehensive theory of problematic Internet use: Evaluating the role of self-esteem, anxiety, flow, and the self-rated importance of Internet Computers in Human Behavior, 2009. Vol. 25 (2), pp. 490–500. DOI: 10.1016/j.chb.2008.11.001
  48. King D.L., Delfabbro P.H. The cognitive psychopathology of Internet gaming disorder in adolescence. Journal of Abnormal Child Psychology, 2016. Vol. 44 (8), pp. 1635–1645. DOI: 10.1007/s10802-016-0135-y
  49. King D.L., Potenza M.N. Not playing around: Gaming disorder in the International Classification of Diseases (ICD-11). Journal of Adolescent Health, 2019. Vol. 64 (1), pp. 5–7. DOI: 10.1016/j.jadohealth.2018.10.010
  50. Király O., Nagygyörgy K., Griffiths M.D. et al. Problematic online gaming. In Rosenberg K.P., Feder L.C. (eds.), Behavioral addictions. New York: Academic Press, 2014. Pp. 61–97.
  51. Kline R.B. Principles and practice of structural equation modeling. New York: The Guilford Press, 2011. 494 p.
  52. Kochetkov N.V. Internet addiction and addiction to computer games in the work of Russian psychologists. Sotsial'naya psikhologiya i obshchestvo = Social Psychology and Society, Vol. 11 (1), pp. 27–54. DOI: 10.17759/sps.2020110103 (In Russ., аbstr. in Engl.)
  53. Kuss D.J., Griffiths M.D. Internet gaming addiction: A systematic review of empirical research. International Journal of Mental Health and Addiction, 2012. Vol. 10 (2), pp. 278–296. DOI: 10.1007/s11469-011-9318-5
  54. Lafreniere M.-A.K., Verner-Filion J., Vallerand R.J. Development and validation of the Gaming Motivation Scale (GAMS). Personality and Individual Differences, 2012. Vol. 53 (7), pp. 827-831. DOI: 10.1016/j.paid.2012.06.013
  55. Li L., Xu D.-D., Chai J.-X. et al. Prevalence of Internet addiction disorder in Chinese university students: A comprehensive meta-analysis of observational studies. Journal of Behavioral Addictions, 2018. Vol. 7 (3), pp. 610–623. DOI: 10.1556/2006.7.2018.53
  56. Liu L., Yao Y.-W., Li C.R. et al. The comorbidity between Internet gaming disorder and depression: Interrelationship and neural mechanisms. Frontiers in Psychiatry, 2018. Vol. 9, p. 154. DOI: 10.3389/fpsyt.2018.00154
  57. Liu D., Wang Z., Yang X. et al. Perceived autonomy-supportive parenting and internet addiction: Respiratory sinus arrhythmia moderated the mediating effect of basic psychological need satisfaction. Current Psychology, 2021. Vol. 40, pp. 4255–4264. DOI: 10.1007/s12144-019-00485-6
  58. Lopez-Fernandez F.J., Mezquita L., Griffiths M.D. et al. The role of personality on disorderedgaming and game genre preferences in adolescence: Gender differences and person-environment transactions. Adicciones, 2021. Vol. 33 (3), pp. 263–272. DOI: 10.20882/adicciones.1370
  59. Loton D., Borkoles E., Lubman D. et al. Video game addiction, engagement and symptoms of stress, depression and anxiety: The mediating role of coping. International Journal of Mental Health and Addiction, 2016. Vol. 14 (4), pp. 565–578. DOI: 10.1007/s11469-015-9578-6
  60. Marsh H.W., Hau K.T., Artelt C. et al. OECD’s brief self-report measure of educational psychology’s most useful affective constructs: Cross-cultural, psychometric comparisons across 25 countries. International Journal of Testing, 2006. Vol. 6 (4), pp. 311–360. DOI: 10.1207/s15327574ijt0604_1
  61. Melodia F., Canale N., Griffiths M.D. The role of avoidance coping and escape motives in problematic online gaming: A systematic literature review. International Journal of Mental Health and Addiction, 2022. Vol. 20 (2), pp. 996–1022. DOI: 10.1007/s11469-020-00422-w
  62. Mills D.J., Allen J.J. Self-determination theory, Internet gaming disorder, and the mediating role of self-control. Computers in Human Behavior, 2020. Vol. 105, p. 106209. DOI: 10.1016/j.chb.2019.106209
  63. Mills D.J., Milyavskaya M., Heath N.L. et al. Gaming motivation and problematic video gaming: The role of needs frustration. European Journal of Social Psychology, 2018. Vol. 48 (4), 551–559. DOI: 10.1002/ejsp.2343
  64. Monley C.M., Liese B.S., Oberleitner L.M. Gamers’ and non-gamers’ perspectives on the development of problematic video game play. Current Psychology, 2024. Vol. 43 (1), pp. 552–561. DOI: 10.1007/s12144-023-04278-w
  65. Neys J.L.D., Jansz J., Tan E.S.H. Exploring persistence in gaming: The role of self-determination and social identity. Computers in Human Behavior, 2014. Vol. 37, pp. 196–209. DOI: 10.1016/j.chb.2014.04.047
  66. Patrick H., Knee C.R., Canevello A. et al. The role of need fulfillment in relationship functioning and well-being: A self-determination theory perspective. Journal of Personality and Social Psychology, 2007. Vol. 92 (3), pp. 434–457. DOI: 10.1037/0022-3514.92.3.434
  67. Paulus F.W., Ohmann S., von Gontard A. et al. Internet gaming disorder in children and adolescents: A systematic review. Developmental Medicine and Child Neurology, 2018. Vol. 60 (7), pp. 645–659. DOI: 10.1111/dmcn.13754
  68. Peters C.S., Malesky L.A. Problematic Usage Among Highly-Engaged Players of Massively Multiplayer Online Role Playing Games. Cyberpsychology and Behavior, 2008. Vol. 11 (4), pp. 481–484. DOI: 10.1089/cpb.2007.0140
  69. Plante C.N., Gentile D.A., Groves C.L. et al. Video games as coping mechanisms in the etiology of video game addiction. Psychology of Popular Media Culture, 2019. Vol. 8 (4), pp. 385–394. DOI: 10.1037/ppm0000186
  70. Pontes H.M., Griffiths M.D. Measuring DSM-5 Internet gaming disorder: Development and validation of a short psychometric scale. Computers in Human Behavior, 2015. Vol. 45, pp. 137–143. DOI: 10.1016/j.chb.2014.12.006
  71. Przybylski A.K., Weinstein N. Investigating the motivational and psychosocial dynamics of dysregulated gaming: Evidence from a preregistered cohort study. Clinical Psychological Science, 2019. Vol. 7 (6), pp. 1257–1265. DOI: 10.1177/2167702619859341
  72. Rehbein F., Kleimann M., Mossle T. Prevalence and risk factors of video game dependency in adolescence: Results of a German nationwide survey. Cyberpsychology, Behavior and Social Networking, 2010. Vol. 13 (3), pp. 269–277. DOI: 10.1089/cyber.2009.0227
  73. Reis H.T., Sheldon K.M., Gable S.L. et al. Daily well-being: The role of autonomy, competence, and relatedness. Personality and Social Psychology Bulletin, 2000. Vol. 26, pp. 419–435. DOI: 10.1177/0146167200266002
  74. Richard J., Temcheff C.E., Derevensky J.L. Gaming disorder across the lifespan: A scoping review of longitudinal studies. Current Addiction Reports, 2020. Vol. 7, pp. 561–587. DOI: 10.1007/s40429-020-00339-3
  75. Ryan R.M., Bernstein J.H., Brown K.W. Weekends, work, and well-being: Psychological need satisfactions and day of the week effects on mood, vitality, and physical symptoms. Journal of Social and Clinical Psychology, 2010. Vol. 29 (1), pp. 95–122. DOI: 10.1521/jscp.2010.29.1.95
  76. Ryan R.M., Deci E.L. Self-regulation and the problem of human autonomy: Does psychology need choice, self-determination, and will? Journal of Personality, 2006. Vol. 74 (6), pp. 1557–1586. DOI: 10.1111/j.1467-6494.2006.00420.x
  77. Ryan R.M., Rigby C.S., Przybylski A. The motivational pull of video games: A self-determination theory approach. Motivation and Emotion, 2006. Vol. 30, pp. 344–360. DOI: 10.1007/s11031-006-9051-8
  78. Ryan R.M., Sheldon K.M., Kasser T. et al. All goals are not created equal: An organismic perspective on the nature of goals and their regulation. In Gollwitzer P.M., Bargh J.A. (eds.), The Psychology of action: Linking cognition and motivation to behavior. New York: Guilford Publ., 1996. Pp. 7–26.
  79. Ryu H., Lee J.-Y., Choi A. et al. The relationship between impulsivity and Internet gaming disorder in young adults: Mediating effects of interpersonal relationships and depression. International Journal of Environmental Research and Public Health, 2018. Vol. 15 (3), p. 458. DOI: 10.3390/ijerph15030458
  80. Scerri M., Anderson A., Stavropoulos V. et al. Need fulfillment and Internet gaming disorder: A preliminary integrative model. Addictive Behaviors Reports, 2019. Vol. 9, p. 100144. DOI: 10.1016/j.abrep.2018.100144
  81. Schermelleh-Engel K., Moosbrugger H. Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 2003. Vol. 8 (2), pp. 23–74. DOI: 10.23668/psycharchives.12784
  82. Shalaginova K.S., Dekina E.V., Klochneva D.A. Escapism and video game addiction in adolescents. Psychological-Educational Studies, Vol. 15 (4), pp. 97–110. DOI: 10.17759/psyedu.2023150406
  83. Stetina B.U., Kothgassner O.D., Lehenbauer M. et al. Beyond the fascination of online-games: Probing addictive behavior and depression in the world of online-gaming. Computers in Human Behavior, 2011. Vol. 27 (1), pp. 473–479. DOI: 10.1016/j.chb.2010.09.015
  84. Tang M., Wang D., Guerrien A. A systematic review and meta-analysis on basic psychological need satisfaction, motivation, and well-being in later life: Contributions of self-determination theory. PsyCh Journal, 2020. Vol. 9 (1), pp. 5–33. DOI: 10.1002/pchj.293
  85. T’ng S.T., Ho K.H., Pau K. Need frustration, gaming motives, and Internet gaming disorder in mobile multiplayer online battle arena (MOBA) games: Through the lens of self-determination theory. International Journal of Mental Health and Addiction, 2022. Vol. 21, pp. 3821–3841. DOI: 10.1007/s11469-022-00825-x
  86. Trepte S., Reinecke L., Juechems K. The social side of gaming: How playing online computer games creates online and offline social support. Computers in Human Behavior, 2012. Vol. 28 (3), pp. 832–839. DOI: 10.1016/j.chb.2011.12.003
  87. Vuorinen I., Savolainen I., Hagfors H. et al. Basic psychological needs in gambling andgaming problems. Addictive Behaviors Reports, 2022. Vol. 16, p. 100445. DOI: 10.1016/j.abrep.2022.100445
  88. Wang Y., Wu L., Wang L. et al. Impaired decision‐making and impulse control in internet gaming addicts: Evidence from the comparison with recreational internet game users. Addiction Biology, 2017. Vol. 22 (6), pp. 1610–1621. DOI: 10.1111/adb.12458
  89. Wang H.-Y., Cheng C. The associations between gaming motivation and internet gaming disorder: Systematic review and meta-analysis. JMIR Mental Health, 2022. Vol. 9 (2), e23700. DOI: 10.2196/23700
  90. Wartberg L., Kriston L., Zieglmeier M. et al. A longitudinal study on psychosocial causes and consequences of Internet gaming disorder in adolescence. Psychological Medicine, 2019. Vol. 49 (2), pp. 287–294. DOI: 10.1017/S003329171800082X
  91. Wong T.Y., Yuen K.S., Li W.O. A basic need theory approach to problematic Internet use and the mediating effect of psychological distress. Frontiers in Psychology, 2015. Vol. 5, pp. 113581. DOI: 10.3389/fpsyg.2014.01562
  92. Yee N. Motivations for play in online games. Cyberpsychology & Behavior, 2006. Vol. 9 (6), pp. 772–775. DOI: 10.1089/cpb.2006.9.772
  93. Yee N. The demographics, motivations and derived experiences of users of massively-multiuser online graphical environments. PRESENCE: Virtual and Augmented Reality, Vol. 15 (3), pp. 309–329. DOI: 10.1162/pres.15.3.309
  94. Yu Y., Mo P. K.-H., Zhang J. et al. Impulsivity, self-control, interpersonal influences, and maladaptive cognitions as factors of Internet gaming disorder among adolescents in China: Cross-sectional mediation study. Journal of Medical Internet Research, 2021. Vol. 23 (10), e26810. DOI: 10.2196/26810
  95. Zigmond A.S., Snaith R.P. The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 1983. Vol. 67 (6), pp. 361–370. DOI: 10.1111/j.1600-0447.1983.tb09716.x

Information About the Authors

Zumrut Gedik, PhD, Associate Professor, Head of Clinical Psychology Division, Faculty of Social Sciences and Humanities, Izmir Katip Celebi University, Turkey, ORCID: https://orcid.org/0000-0003-3275-3413, e-mail: zumrut.gedik@ikcu.edu.tr

Merve Gulec, Doctoral Student of Clinical Psychology, Institute of Social Sciences, Izmir Katip Celebi University, Turkey, ORCID: https://orcid.org/0000-0003-0583-8067, e-mail: merveapakgulec@gmail.com

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