Тражење сензације и овисност о онлине играма код адолесцената: модерирани модел медијације позитивних афективних асоцијација и импулзивности (КСНУМКС)

. КСНУМКС; КСНУМКС: КСНУМКС.

Објављено на мрежи КСНУМКС Маи КСНУМКС. дои:  КСНУМКС / фпсиг.КСНУМКС

ПМЦИД: ПМЦКСНУМКС

Апстрактан

Based on the Dual Systems Model (; ) and the biosocial-affect model () of adolescent sensation seeking and problem behaviors, the present study examined how (affective associations with online games as a mediator) and when (impulsivity as a moderator) did sensation seeking influence online gaming addiction in adolescence. A total of 375 Chinese male adolescents (mean age = 16.02 years, SD = 0.85) from southern China completed anonymous questionnaires regarding sensation seeking, positive affective associations with online games, impulsivity, and online gaming addiction. Our findings revealed that sensation seeking, positive affective associations with online games and impulsivity were each significantly and positively associated with online gaming addiction in adolescents. Positive affective associations mediated the relationship between sensation seeking and online gaming addiction. Further, impulsivity moderated the relationship between positive affective associations and online gaming addiction, such that the association between positive affective association and online gaming addiction was stronger for high than for low impulsivity adolescents. These findings underscore the importance of integrating the biosocial-affect model and the Dual Systems Model to understand how and when sensation seeking impacts adolescent online gaming addiction.

Кључне речи: sensation seeking, positive affective associations, impulsivity, online gaming addiction, adolescence

увод

With ever more people having convenient access to high-speed internet, online gaming has become increasingly popular, particularly among adolescents. As the popularity of online games has grown, so have concerns over the outcomes of excessive usage. Just like addiction to alcohol or drugs, addictive gamers show several classic signs of addiction, including being preoccupied by computer games, withdrawing from social life to play games, using games to escape from the pressure in the real world (; ; ). Online gaming addiction has become a serious public health concern around the world, especially in China and other Asian countries (). It is urgent to understand the psychological mechanisms of online gaming addiction, which are the basis of prevention and intervention.

Internet addiction is associated with an increased prevalence of externalizing problem behaviors (e.g., substance use and sexual intercourse; ; ), and internalizing problem behaviors (e.g., depression and social anxiety; ). These problem behaviors have been shown to be significantly related to sensation seeking (; ; ; ). Sensation seeking describes the willingness and actions of taking risks to attain novel and highly stimulating experiences (; ). It is an intriguing personality trait, which can serve as a risk and protective factor for certain problem behaviors (). Although there is accumulated evidence on the positive effect of sensation seeking on adolescents’ internet addiction (; , ; ), few studies have examined the relationship between sensation seeking and online gaming addiction (). Moreover, it remains largely unclear how (i.e., the mediating mechanism) and when (i.e., the moderating mechanism) does sensation seeking influence online gaming addiction. Addressing these issues are key not only to understanding the etiology of online gaming addiction but also to developing effective intervention programs ().

Affective Associations as a Mediator

Biosocial-affect model of adolescent problem behavior () proposed that, adolescents’ sensation seeking may influence their affective associations with the behavior, which may further influence their risk taking. Following , affective associations refer to the feelings associated with a specific stimulus or behavior. Consistent with this theoretical framework, a few studies have demonstrated that positive associations with risky behavior emerged as a significant mediator of sensation seeking on drug use () и употреба алкохола (). However, there is a need for empirical research to investigate whether this model can be applied to online gaming addiction in adolescence.

Some indirect evidence has implied that positive affective associations mediate the relationship between sensation seeking and online gaming addiction in adolescence. Positive reactions (including cognitive and socio-affective) to novelty and stimulating experiences have been an essential part of definition of sensation seeking (). Recent evidence has also shown that players with high sensation seeking found computer games more entertaining than players with low sensation seeking (). On the other hand, recent studies have shown that positive affective associations may impact one’s addictive behavior (; ). На пример, found that perceived enjoyment and the associated positive affect positively influenced the development of excessive use of online games. reported that online game attraction was positively related to online gaming addiction. Taken together, sensation seeking may be linked to positive associations with online games, which in turn is linked to online gaming addiction. However, to date, no known studies have yet directly examined the mediating role of positive affective associations with online games in the link between sensation seeking and online gaming addiction in adolescence.

Impulsivity as a Moderator

Based on human neuroimaging findings, the Dual Systems Model (; ) was developed to explain why adolescents engage in problematic behaviors. Increasing problematic behaviors in adolescence are the product of the more mature limbic (socioemotional) system winning over the prefrontal (cognitive control) system (; ). More and more research has begun to link the changes in neural systems to changes in behavior in adolescence (; ; ; ; ). For example, cross-sectional () and longitudinal () research has shown that age differences in sensation seeking and impulsivity match age differences in socioemotional and cognitive control neural systems, respectively. reported that, age-related changes in sensation seeking and impulsivity were associated with changes in substance use. These findings provide behavioral evidence for the Dual Systems Model. However, these studies did not directly test how these two systems interact to influence adolescents’ problematic behavior. Whereas sensation seeking is thought to stem from sensitivity of the socio-emotional system to affective cues, impulsivity is suggested to stem from the poor performance of the cognitive control system (; ; ). The present study introduced the variable of impulsivity and investigated whether impulsivity moderates the relationship between socio-emotional system and problem behavior, directly testing how socioemotional and cognitive control systems interact to influence adolescents’ online gaming addiction.

Currently, little is known about the moderating role of impulsivity in the link between affective associations and online gaming addiction, despite considerable evidence suggesting that impulsivity moderates the relationship between affect and drinking variables (; ). На пример, showed the role of impulsivity as a moderator of the link between positive affectivity and alcohol consumption. In a recent study, self-control (which shows conceptual overlap with impulsivity) was proposed as a moderator of the impact of implicit affective associations on alcohol use (). Based on these aforementioned findings and the Dual Systems Model, it is reasonable to infer that impulsivity moderates the relationship between affective associations with online games and online gaming addiction.

In summary, based on the biosocial-affect model of adolescent problem behavior and the Dual Systems Model, the current study sought to reveal the underlying mechanisms of the relationship between sensation seeking and online gaming addiction with two specific goals: (1) to examine whether affective associations with online games mediate the relationship between sensation seeking and adolescents’ online gaming addiction, and (2) to test whether the relationship between affective associations and online gaming addiction is moderated by the individual trait of impulsivity. Therefore, two hypotheses could be proposed as follows:

  • једноставан 
    Hypothesis 1: sensation seeking would increase positive affective associations with online games, which in turn contributes to online gaming addiction in adolescence.
  • једноставан 
    Hypothesis 2: the individual trait of impulsivity would moderate the impact of positive affective associations on online gaming addiction, such that the relationship between positive affective associations and online gaming addiction would be stronger for adolescents with high as compared to low impulsivity.

In addition, there is lack of evidence on whether the relationship between sensation seeking and positive affective associations or the relationship between sensation seeking and online gaming addiction is moderated by impulsivity. Thus, we do not propose specific hypotheses regarding these relationships.

Материјал и метод

Узорак

Male adolescents are particularly at-risk for online gaming addiction (; ; ). To allow more precise inference for this group, this study was conducted only on male adolescents. The original sample consisted of 413 male adolescents from Grade 10 and 11 in southern China. Of these, 38 (9.2%) were excluded because they had no experience playing online games, resulting in the current sample of 375 male adolescents. The mean age of this sample was 16.02 years (SD, 0.85 years), ranging from 15 to 17 years.

Мере

Сенсатион Сеекинг

Adolescents’ sensation seeking was assessed by a short form of sensation seeking scale, which demonstrated reliability and validity (; ). It consists of six items, which are scored on a six-point scale ranging from 1 (almost always untrue of you) to 6 (almost always true of you). Higher means represent higher levels of sensation seeking. Cronbach’s α for the present sample was 0.68.

Импулсивност

Adolescents’ impulsivity was assessed by three six-item subscales from the Barratt Impulsiveness Scale, Version 11 () also used in . Forward- and back-translation procedures were conducted to build the Chinese version of the measurement. Each item was scored on a four-point scale ranging from 1 (rarely/never) to 4 (almost always/always). Subscales were averaged to form a total impulsivity score. A higher mean represents a higher level of impulsivity. Cronbach’s α coefficient for the present sample was 0.65.

Affective Associations

In a pilot study, we used the affect pool measure developed by to measure the affect toward online games (or gaming). Fifty online gaming players were recruited (46 male; mean age ± SD, 17 ± 2.03). They were asked to report the first three words that came to mind when they were told to think of online gaming. They then rated each word on a five-point scale ranging from very negative to very positive. The top seven most frequent words listed by these players were happy, interesting, attractive, popular, relaxing, concentrating, and making friends. We then used these seven words to make sentences in the current study. For example, “when playing online games, I feel happy.” Participants rated how true each statement was for themselves on a six-point scale ranging from 1 (almost always untrue of you) to 6 (almost always true of you). These seven words were positive, thus, a higher mean represents more positive affective association with online gaming. Cronbach’s α coefficient for the present sample was 0.90.

Online Gaming Addiction

The online gaming addiction scale was modified from the Revised Chinese Internet Addiction Scale (CIAS) () to measure the degree of online gaming addiction tendency in participants. The scale has 26 items and consists of two subscales: Core Symptoms and Related Problems. The former includes three dimensions: compulsive use, withdrawal, and tolerance; the latter includes two dimensions: interpersonal and health-related, and time management problems. For each item, participants indicated how true each statement was for themselves on a four-point scale ranging from 1 (almost always untrue of you) to 4 (almost always true of you). The mean was taken with a higher mean representing a higher level of online gaming addiction. Cronbach’s α coefficient of the scale and the two subscales in the study was 0.94, 0.91, and 0.87, respectively.

Процедуре

Informed consents were obtained from the school, all participants and their parents. Participants in this study were voluntary and anonymous. They were given approximately 30 min to complete the questionnaires in their classrooms. All materials and procedures were approved by South China Normal University Human Investigation Committee.

Статистичка анализа

First, we presented descriptive statistics and bivariate correlations for the major variables. Second, to test Hypothesis 1, we followed four-step procedure to evaluate the mediation effect. Third, to test Hypothesis 2, we followed Muller et al’s (2005) description regarding the evaluation of moderated mediation.

Резултати

Прелиминарне анализе

Means, standard deviations, and the correlation matrix of the major variables are presented in Табела ТаблеКСНУМКС. Sensation seeking, positive affective associations with online gaming and impulsivity showed significant and positive correlations with core symptoms and related problems of online gaming addiction, suggesting that all three of these factors are risk factors for online gaming addiction. Sensation seeking correlated positively with positive affective associations; however, the correlation of impulsivity and affective associations was not significant.

Табела КСНУМКС 

Means and standard deviations of the major variables along with their correlations.

In Hypothesis 1, to evaluate the mediating effect of affective associations with online games, four-step procedure was used. The first three steps were to test the direct effect using linear regression, including (1) a link between sensation seeking and online gaming addiction; (2) a link between sensation seeking and positive affective associations with online games; (3) a link between positive affective associations with online games and online gaming addiction while controlling for sensation seeking. All links in these three steps should prove significant. In the fourth step, sensation seeking and positive affective associations with online games were entered in the linear regression model. We used the Sobel test to determine whether the effect of positive affective associations with online games remains significant.

The results for the mediation model examining the relationship between sensation seeking, affective associations with online games, and online gaming addiction are presented in Табела ТаблеКСНУМКС. The effect of sensation seeking on online gaming addiction (b = КСНУМКС, p < 0.01), the effect of sensation seeking on affective associations with online games (b = КСНУМКС, p < 0.001), and the effect of affective association on online gaming addiction (b = КСНУМКС, p < 0.001) were significant. In the fourth step, when controlling for sensation seeking, the effect of affective associations on online gaming addiction was significant (b = КСНУМКС, p < 0.001); however, the effect of sensation seeking on online gaming addiction was no longer significant (b = КСНУМКС, p > 0.1). Finally, the Sobel test indicated that the full mediation effect of affective associations with online games on the relationship between sensation seeking and online gaming addiction was significant (Z = КСНУМКС, p < 0.001). Hypothesis 1 was supported.

Табела КСНУМКС 

Testing the mediation effect of sensation seeking on online gaming addiction in adolescence.

Testing for the Moderated Mediation

To test Hypothesis 2, we conducted moderated mediation analyses with three regression models as outlined by . In the first model, the moderating effect of impulsivity on the way in which sensation seeking impact on online gaming addiction was estimated. In the second model, the moderating effect of impulsivity on the way in which sensation seeking impact on affective associations with online games was estimated. In the third model, the moderating effect of impulsivity on both the partial effect of affective associations on online gaming addiction and the residual effect of sensation seeking on online gaming addiction were estimated. All variables were standardized to reduce multicollinearity.

In the first model (Табела ТаблеКСНУМКС), an overall effect of sensation seeking on online gaming addiction was found, b = КСНУМКС, p < 0.05. This effect was not moderated by impulsivity, b = -КСНУМКС, p > 0.05. In the second model, the mediator, affective associations, was the criterion. There was a main effect of sensation seeking, b = КСНУМКС, p < 0.001, and a significant sensation seeking × impulsivity interaction effect on affective associations, b = -КСНУМКС, p < 0.05. To facilitate the interpretation of this interaction, we plotted how sensation seeking was related to affective associations at low and high levels of impulsivity (i.e., at 1 SD below and above the mean, respectively, Слика ФигуреКСНУМКС). Simple slope testing revealed that for low impulsivity adolescents, higher sensation seeking was associated with higher positive affective associations, b = КСНУМКС, p < 0.001. However, for adolescents with high impulsivity, the effect of sensation seeking on affective associations was non-significant, b = КСНУМКС, p = 0.249. Finally, the third model showed that the effect of affective associations on online gaming addiction was significant, b = КСНУМКС, p < 0.001, and this effect was moderated by impulsivity, with a significant affective associations × impulsivity interaction, b = КСНУМКС, p < 0.01. We also plotted the predicted online gaming addiction against affective associations at low and high levels of impulsivity (Слика ФигуреКСНУМКС). Simple slope testing showed that for high impulsivity adolescents, affective associations were associated with online gaming addiction, b = КСНУМКС, p < 0.001. For low impulsivity adolescents, the effect of affective associations on online gaming addiction was weaker, b = КСНУМКС, p <0.001.

Табела КСНУМКС 

Testing the moderated mediation effects of sensation seeking on online gaming addiction in adolescence.
СЛИКА КСНУМКС 

Positive affective associations with online games as a function of sensation seeking and impulsivity. Low and high refer to values 1 standard deviation below and above the mean, respectively.
СЛИКА КСНУМКС 

Online gaming addiction in adolescence as a function of positive affective associations and impulsivity. Low and high refer to values 1 standard deviation below and above the mean, respectively.

Дискусија

In the current study, we tested a moderated mediation model in which the effect of sensation seeking on online gaming addiction through positive affective associations was moderated by impulsivity. This study contributes to a growing body of literature in at least three ways.

First, our results offer support for the biosocial-affect pathway to online gaming addiction, such that high sensation seeking was associated with high level of positive affective associations with online games, which subsequently was associated with a high likelihood of online gaming addiction. This pathway is consistent with the biosocial-affect model, which posits that sensation seeking influences problem behavior through the formation of affective association toward problem behaviors (). Adolescents higher in sensation seeking have more positive affective associations with online games, which in turn contribute to online gaming addiction in adolescence. The influence of positive affective associations on online gaming addiction is congruent with the affect heuristic model (), and also extends the behavioral affective associations model (; ) to online gaming addiction, as these models usually account for health-related behaviors, such as behaviors in physical activities (), food choice (), and smoking (). This key finding provides support for and extends earlier studies which have found that affective factors, such as perceived enjoyment, are associated with excessive use of online games ().

Second, our results offer support for the Dual Systems Model. We found impulsivity moderated the impact of affective associations on online gaming addiction. As impulsivity increases, the association between affective associations and online gaming addiction becomes stronger. This pattern of findings indicates that impulsivity strengthens the relationship between positive affective associations and online gaming addiction. This finding provides direct evidence for the Dual Systems Model. To some extent, vulnerability to online gaming addiction is the product of high positive affective associations with online games and low impulse control. Higher levels of positive affective associations with online games impel adolescents toward online games; at the same time, immature self-control capabilities cannot restrain this impulse (; ). That is, the cognitive control systems of highly impulsive adolescents are relatively “weak,” and their online gaming behavior may be more likely to be guided by affective associations with online games. To our knowledge, it is the first study that applies the Dual Systems Model to adolescent online gaming addiction research.

Surprisingly, we found that impulsivity moderated the influence of sensation seeking on affective associations. In particular, as impulsivity decreased, adolescents higher in sensation seeking were more likely to have favorable affect toward online games. Perhaps adolescents low in impulsivity may inhibit the craving for playing online games and reasonably arrange online game time. In this context, it is not difficult to understand that adolescents with high sensation seeking would be more likely to enjoy online games.

Our study has important practical implications. First, our findings can help practitioners understand how sensation seeking is associated with online gaming addiction, providing reliable evidence for target interventions. For instance, lowering positive affective associations with online games may buffer some of the detrimental effect of sensation seeking on online gaming addiction in adolescence. Thus, it may be useful to consider intervention approaches that target these affective associations with online games. Using an implicit priming paradigm to experimentally manipulate participants’ affective associations with fruit, found that participants in the positive priming condition chose fruit more often compared to the negative priming condition. Future research may apply such techniques (e.g., repeatedly paired online games related images with neutral words or images) to examine whether adolescents’ affective associations with online games can be altered. Second, given that the risky effect of positive affective associations on online gaming addiction is stronger for more impulsive adolescents, manipulating the affective associations toward online games among adolescents with high impulsivity may be more effective for reducing online gaming addiction.

There are several limitations that need to be considered. First, given the cross-sectional nature of this study, we cannot make any causal inferences of the results. Future studies may test the models using longitudinal or experimental designs to achieve a causal conclusion. Second, all variables were collected using self-reported measure, which may result in common method variance problems. Further studies may use multi-method, multi-informant approaches for evaluating variables. Third, our sample included middle adolescents. Middle adolescents are thought to experience a peak of responsiveness to affective cues while still having immature capacities for impulse control (). The relative strength of the socio-emotional system and cognitive control systems in mid-adolescents differs for early and late adolescents. Thus, our moderation model may not be generalized to early or late adolescents. The current findings also may not be generalized to female adolescents due to the selection of only male adolescents. Fourth, the present study only focuses on the link between positive affective associations, but not negative affective associations, and online gaming addiction. In general, affect can be divided into positive affect and negative affect. Extensive evidence has shown that positive and negative affect are independent of each other (). So are positive and negative affective associations with stimulus (). У студији , the positive affective associations, not the negative affective associations with online games were found to be related to the length of time that an individual maintained online gaming behavior, suggesting the different roles of positive and negative affective associations with online games in the maintenance of online gaming addiction. Future studies should investigate whether negative affective associations influence online gaming addiction. In addition, future studies need to examine how affective associations toward online games are formed, which remains unclear.

Zakljucak

We reported how sensation seeking and when impulsivity relate to online gaming addiction in adolescence. Positive affective associations with online games mediated the risky effect of sensation seeking on online gaming addiction in adolescence. Moreover, the risk effect of positive affective associations with online games was moderated by impulsivity. These findings add to our understanding of the mediating and moderating factors that act between sensation seeking and online gaming addiction in adolescence. The results also provide further direct empirical evidence for the Dual Systems Model and biosocial-affect model and a new approach to further explore and understand the mechanism of adolescents’ online gaming addiction.

Изјава о етици

This study was carried out in accordance with the recommendations of Ethics Committee of Institute of Psychology, South China Normal University with written informed consent from all subjects. All subjects gave written informed consent in accordance with the Declaration of Helsinki. The protocol was approved by the South China Normal University Human Investigation Committee.

Аутор прилога

Conceived and designed the research: WZ, JH. Performed the research: JH, SZ, CY, QZ. Analyzed the data: JH, SZ, CY, QZ. Contributed to the writing of the manuscript: JH, SZ, CY, QZ, WZ.

Изјава о сукобу интереса

Аутори изјављују да је истраживање проведено у одсуству било каквих комерцијалних или финансијских односа који би се могли тумачити као потенцијални сукоб интереса.

priznanja

This study was supported by National Natural Science Foundation of China (31671154), the Youth Foundation for Humanities and Social Sciences of Ministry of Education of China (12YJC190040), Foundation for Distinguished Young Talents in Higher Education of Guangdong, China (2012WYM_0041) and Young Teacher Foundation of South China Normal University.

белешке

Овај рад је подржан следећим грантовима:

Национална фондација за природне науке Кине10.13039/501100001809 КСНУМКС.

Референце

  • Bitton M. S., Medina H. C. (2015). Problematic internet use and sensation seeking: differences between teens who live at home and in residential care. дете. Иоутх Серв. Рев. 58 35–40. 10.1016/j.childyouth.2015.09.004 [Цросс Реф]
  • Блок ЈЈ (КСНУМКС). Проблеми за ДСМ-В: зависност од интернета. Сам. Ј. Псицхиатри КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / аппи.ајп.КСНУМКС [ЦроссРеф] [Цросс Реф]
  • Цхен С., Венг Л., Су И., Ву Х., Ианг П. (КСНУМКС). Развој кинеске скале зависности од интернета и њена психометријска студија. Цхин. Ј. Псицхол. КСНУМКС КСНУМКС – КСНУМКС.
  • Colder C. R., Chassin L. (1997). Affectivity and impulsivity: temperament risk for adolescent alcohol involvement. Псицхол. Аддицт. Бехав. 11 83–97. 10.1037/0893-164X.11.2.83 [Цросс Реф]
  • Crawford A. M., Pentz M. A., Chou C.-P., Li C., Dwyer J. H. (2003). Parallel developmental trajectories of sensation seeking and regular substance use in adolescents. Псицхол. Аддицт. Бехав. 17 179–192. 10.1037/0893-164X.17.3.179 [ЦроссРеф] [Цросс Реф]
  • Diener E., Larsen R. J., Levine S., Emmons R. A. (1985). Intensity and frequency: dimensions underlying positive and negative affect. Ј. Перс. Соц. Псицхол. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / КСНУМКС-КСНУМКСЦроссРеф] [Цросс Реф]
  • Engel-Yeger B., Muzio C., Rinosi G., Solano P., Geoffroy P. A., Pompili M., et al. (2016). Extreme sensory processing patterns and their relation with clinical conditions among individuals with major affective disorders. Псицхиатри Рес. 236 112–118. 10.1016/j.psychres.2015.12.022 [ЦроссРеф] [Цросс Реф]
  • Fang X., Zhao F. (2010). Personality and enjoyment of computer game play. Comput. Ind. 61 342–349. 10.1016/j.compind.2009.12.005 [Цросс Реф]
  • Gunuc S. (2015). Relationships and associations between video game and Internet addictions: is tolerance a symptom seen in all conditions. Цомпут. Зујати. Бехав. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.цхб.КСНУМКС [Цросс Реф]
  • Ha Y.-M., Hwang W. J. (2014). Gender differences in internet addiction associated with psychological health indicators among adolescents using a national web-based survey. Инт. Ј. Мент. Хеалтх Аддицт. 12 660–669. 10.1007/s11469-014-9500-7 [Цросс Реф]
  • Harden K. P., Tucker-Drob E. M. (2011). Individual differences in the development of sensation seeking and impulsivity during adolescence: further evidence for a dual systems model. Дев. Псицхол. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / аКСНУМКС [ЦроссРеф] [Цросс Реф]
  • Hou S., Fang X. (2014). The explicit and implicit outcome expectancies of Internet games and their relationships with Internet gaming behaviors among college students. Цомпут. Зујати. Бехав. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.цхб.КСНУМКС [Цросс Реф]
  • Karlsson P. (2012). The relationship between affective associations with alcohol and binge drinking. Ј. Субст. Усе КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / КСНУМКС [Цросс Реф]
  • Kiviniemi M. T., Duangdao K. M. (2009). Affective associations mediate the influence of cost–benefit beliefs on fruit and vegetable consumption. апетит КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.аппет.КСНУМКС [ПМЦ бесплатан чланак] [ЦроссРеф] [Цросс Реф]
  • Kiviniemi M. T., Voss-Humke A. M., Seifert A. L. (2007). How do I feel about the behavior? The interplay of affective associations with behaviors and cognitive beliefs as influences on physical activity behavior. Хеалтх Псицхол. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / КСНУМКС-КСНУМКСЦроссРеф] [Цросс Реф]
  • Ko C.-H., Liu T.-L., Wang P.-W., Chen C.-S., Yen C.-F., Yen J.-Y. (2014). The exacerbation of depression, hostility, and social anxiety in the course of Internet addiction among adolescents: a prospective study. Цомпр. Псицхиатри КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.цомппсицх.КСНУМКС [ЦроссРеф] [Цросс Реф]
  • Ko C.-H., Yen J.-Y., Chen C.-C., Chen S.-H., Wu K., Yen C.-F. (2006). Tridimensional personality of adolescents with internet addiction and substance use experience. Can. J. Psychiatry. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / КСНУМКС [ЦроссРеф] [Цросс Реф]
  • Ko C.-H., Yen J.-Y., Yen C.-F., Chen C.-S., Weng C.-C., Chen C.-C. (2008). The association between Internet addiction and problematic alcohol use in adolescents: the problem behavior model. Циберпсицхол. Бехав. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / цпб.КСНУМКС [ЦроссРеф] [Цросс Реф]
  • Кусс ДЈ, Гриффитхс МД (КСНУМКС). Зависност од игара на интернету: систематски преглед емпиријских истраживања. Инт. Ј. Мент. Хеалтх Аддицт. 10 278–296. 10.1007/s11469-011-9318-5 [Цросс Реф]
  • Lee Z. W., Cheung C. M., Chan T. K. (2014). “Explaining the development of the excessive use of massively multiplayer online games: a positive-negative reinforcement perspective,” in Proceedings of the 47th Hawaii International Conference System Sciences (HICSS) (New York City, NY: IEEE; ) 668–677. 10.1109/hicss.2014.89 [Цросс Реф]
  • Li D., Zhang W., Li X., Zhen S., Wang Y. (2010). Stressful life events and problematic Internet use by adolescent females and males: a mediated moderation model. Цомпут. Зујати. Бехав. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.цхб.КСНУМКС [Цросс Реф]
  • Li H., Wang S. (2013). The role of cognitive distortion in online game addiction among Chinese adolescents. дете. Иоутх Серв. Рев. 35 1468–1475. 10.1016/j.childyouth.2013.05.021 [Цросс Реф]
  • Li X., Newman J., Li D., Zhang H. (2016). Temperament and adolescent problematic Internet use: the mediating role of deviant peer affiliation. Цомпут. Зујати. Бехав. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.цхб.КСНУМКС [Цросс Реф]
  • Lindgren K. P., Neighbors C., Westgate E., Salemink E. (2014). Self-control and implicit drinking identity as predictors of alcohol consumption, problems, and cravings. J. Stud. Alcohol Drugs 75 290–298. 10.15288/jsad.2014.75.290 [ПМЦ бесплатан чланак] [ЦроссРеф] [Цросс Реф]
  • MacKinnon D. (2008). Introduction to Statistical Mediation Analysis. Абингдон: Роутледге.
  • Mai Y., Hu J., Yan Z., Zhen S., Wang S., Zhang W. (2012). Structure and function of maladaptive cognitions in Pathological Internet Use among Chinese adolescents. Цомпут. Зујати. Бехав. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.цхб.КСНУМКС [Цросс Реф]
  • Mann F. D., Kretsch N., Tackett J. L., Harden K. P., Tucker-Drob E. M. (2015). Person × environment interactions on adolescent delinquency: sensation seeking, peer deviance and parental monitoring. Personal. Individ. Differ. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.паид.КСНУМКС [ПМЦ бесплатан чланак] [ЦроссРеф] [Цросс Реф]
  • Mehroof M., Griffiths M. D. (2010). Online gaming addiction: the role of sensation seeking, self-control, neuroticism, aggression, state anxiety, and trait anxiety. Циберпсицхол. Бехав. Соц. Мрежа. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / цибер.КСНУМКС [ЦроссРеф] [Цросс Реф]
  • Muller D., Judd C. M., Yzerbyt V. Y. (2005). When moderation is mediated and mediation is moderated. J. Personal. Soc. Psychol. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / КСНУМКС-КСНУМКСЦроссРеф] [Цросс Реф]
  • Norbury A., Husain M. (2015). Sensation-seeking: dopaminergic modulation and risk for psychopathology. Бехав. Браин Рес. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.ббр.КСНУМКС [ЦроссРеф] [Цросс Реф]
  • Patton J. H., Stanford M. S. (1995). Factor structure of the Barratt impulsiveness scale. Ј. Цлин. Псицхол. 51 768–774. 10.1002/1097-4679(199511)51:6<768::AID-JCLP2270510607>3.0.CO;2-1 [ЦроссРеф] [Цросс Реф]
  • Peters E., Slovic P. (1996). The role of affect and worldviews as orienting dispositions in the perception and acceptance of nuclear Power. Ј. Аппл. Соц. Псицхол. 26 1427–1453. 10.1111/j.1559-1816.1996.tb00079.x [Цросс Реф]
  • Quinn P. D., Harden K. P. (2013). Differential changes in impulsivity and sensation seeking and the escalation of substance use from adolescence to early adulthood. Дев. Псицхопатхол. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / СКСНУМКС [ПМЦ бесплатан чланак] [ЦроссРеф] [Цросс Реф]
  • Romer D., Hennessy M. (2007). A biosocial-affect model of adolescent sensation seeking: the role of affect evaluation and peer-group influence in adolescent drug use. Prev. Sci. 8 89–101. 10.1007/s11121-007-0064-7 [ЦроссРеф] [Цросс Реф]
  • Shu S. B., Peck J. (2011). Psychological ownership and affective reaction: emotional attachment process variables and the endowment effect. J. Consum. Psychol. 21 439–452. 10.1016/j.jcps.2011.01.002 [Цросс Реф]
  • Slovic P., Finucane M. L., Peters E., Macgregor D. G. (2007). The affect heuristic. Eur. J. Oper. Res. 177 1333–1352. 10.1016/j.ejor.2005.04.006 [Цросс Реф]
  • Smith R. E., Ptacek J., Smoll F. L. (1992). Sensation seeking, stress, and adolescent injuries: a test of stress-buffering, risk-taking, and coping skills hypotheses. Ј. Перс. Соц. Псицхол. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / КСНУМКС-КСНУМКСЦроссРеф] [Цросс Реф]
  • Somerville L. H., Jones R. M., Casey B. (2010). A time of change: behavioral and neural correlates of adolescent sensitivity to appetitive and aversive environmental cues. Браин Цогн. 72 124–133. 10.1016/ј.бандц.2009.07.003 [ПМЦ бесплатан чланак] [ЦроссРеф] [Цросс Реф]
  • Stautz K., Cooper A. (2015). Trait urgency and substance use decision making in adolescents and young adults: the role of socio-affective factors. Personal. Individ. Differ. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.паид.КСНУМКС [Цросс Реф]
  • Steinberg L. (2010a). A dual systems model of adolescent risk-taking. Дев. Псицхобиол. 52 216–224. 10.1002/dev.20445 [ЦроссРеф] [Цросс Реф]
  • Steinberg L. (2010b). Commentary: a behavioral scientist looks at the science of adolescent brain development. Браин Цогн. 72 160–164. 10.1016/ј.бандц.2009.11.003 [ПМЦ бесплатан чланак] [ЦроссРеф] [Цросс Реф]
  • Стеинберг Л., Алберт Д., Цауффман Е., Баницх М., Грахам С., Воолард Ј. (КСНУМКС). Старосне разлике у тражењу сензације и импулзивности индексиране понашањем и самопроцјеном: доказ за модел дуалних система. Дев. Псицхол. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / аКСНУМКС [ЦроссРеф] [Цросс Реф]
  • Sung J., Lee J., Noh H. M., Park Y. S., Ahn E. J. (2013). Associations between the risk of internet addiction and problem behaviors among Korean adolescents. Korean J. Fam. Med. 34 115–122. 10.4082/kjfm.2013.34.2.115 [ПМЦ бесплатан чланак] [ЦроссРеф] [Цросс Реф]
  • Tone H.-J., Zhao H.-R., Yan W.-S. (2014). The attraction of online games: an important factor for Internet Addiction. Цомпут. Зујати. Бехав. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.цхб.КСНУМКС [Цросс Реф]
  • Urbán R., Kökönyei G., Demetrovics Z. (2008). Alcohol outcome expectancies and drinking motives mediate the association between sensation seeking and alcohol use among adolescents. Аддицт. Бехав. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.аддбех.КСНУМКС [ЦроссРеф] [Цросс Реф]
  • Walsh E. M., Kiviniemi M. T. (2014). Changing how I feel about the food: experimentally manipulated affective associations with fruits change fruit choice behaviors. J. Behav. Med 37 322–331. 10.1007/s10865-012-9490-5 [ПМЦ бесплатан чланак] [ЦроссРеф] [Цросс Реф]
  • Wang C.-W., Ho R. T., Chan C. L., Tse S. (2015). Exploring personality characteristics of Chinese adolescents with internet-related addictive behaviors: trait differences for gaming addiction and social networking addiction. Аддицт. Бехав. КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / ј.аддбех.КСНУМКС [ЦроссРеф] [Цросс Реф]
  • Wilkinson J. L. (2010). The Role of Affective Associations in Smoking Behavior. Lincoln, NE: The University of Nebraska-Lincoln.
  • Willoughby T., Good M., Adachi P. J., Hamza C., Tavernier R. (2013). Examining the link between adolescent brain development and risk taking from a social-developmental perspective. Браин Цогн. 83 315–323. 10.1016/ј.бандц.2013.09.008 [ЦроссРеф] [Цросс Реф]
  • Zuckerman M. (1979). Sensation Seeking: Beyond the Optimal Level of Arousal. Хиллсдале, Њ: Ерлбаум.
  • Zuckerman M. (1996). The psychobiological model for impulsive unsocialized sensation seeking: a comparative approach. Неуропсицхобиологи КСНУМКС КСНУМКС – КСНУМКС. КСНУМКС / КСНУМКС [ЦроссРеф] [Цросс Реф]