Comments: More video gaming = more symptoms of ADHD
Ann Gen Psychiatry. 2006 Oct 24;5:16.
Department of Internal Medicine, Rhode Island Hospital, Brown University, Providence, RI 02912, USA. [email protected]
Excessive use of the Internet has been associated with attention deficit hyperactivity disorder (ADHD), but the relationship between video games and ADHD symptoms in adolescents is unknown.
A survey of adolescents and parents (n = 72 adolescents, 72 parents) was performed assessing daily time spent on the Internet, television, console video games, and Internet video games, and their association with academic and social functioning. Subjects were high school students in the ninth and tenth grade. Students were administered a modified Young’s Internet Addiction Scale (YIAS) and asked questions about exercise, grades, work, and school detentions. Parents were asked to complete the Conners’ Parent Rating Scale (CPRS) and answer questions regarding medical/psychiatric conditions in their child.
There was a significant association between time spent playing games for more than one hour a day and YIAS (p < 0.001), overall grade point average (p < or = 0.019), and the “Inattention” and “ADHD” components of the CPRS (p < or = 0.001 and p < or = 0.020, respectively). No significant association was found between body mass index (BMI), exercise, number of detentions, or the “Oppositional” and “Hyperactivity” components of CPRS and video game use.
Adolescents who play more than one hour of console or Internet video games may have more or more intense symptoms of ADHD or inattention than those who do not. Given the possible negative effects these conditions may have on scholastic performance, the added consequences of more time spent on video games may also place these individuals at increased risk for problems in school.
The introduction of the telegraph in the nineteenth century ushered in a new era of communication and social development. Further advances in technology led to the creation of the telephone, radio, and television. Recently, the Internet has become the pinnacle of interchange in the modern world and facilitates many different modes of communication. Each generation has raised concerns regarding the negative impact of media on social skills and personal relationships. The Internet appeals to adolescents for many reasons and has become a social connection for many with uses including messaging, e-mail, gaming, education, and music.
The Internet and other media types are reported to have important social and mental health effects in adolescents. The association between television viewing and obesity, attention disorders, school performance, and violence has been reported [1–6]. Likewise, recent studies on obsessive Internet use called “Internet Addiction” have shown negative effects on social health [7,8]. A significant relationship between Internet use and attention deficit hyperactivity disorder (ADHD) has also been shown in elementary school children . Other studies have reported the similarities between computer video game addiction and pathological gambling or substance dependence [10–12].
The effect of video games on adolescents is not well characterized despite a growing body of evidence demonstrating their addictive nature and popularity [13–15]. Indeed, video game use may exceed that of television use in children . In pre-adolescent teenagers, obesity has been linked to increasing time spent on video games, but other studies have disputed this finding in different populations [17–19]. Most studies of mental health and media use did not specifically examine video games, but included them as a subset of television or Internet use. One extensively studied area is the content of video games and their relationship to subsequent aggressive behavior in children [14,20–22]. Other case reports have documented associations between video games and various conditions such as epilepsy, musculoskeletal disorders, and deep vein thrombosis, although the strength of these associations has not yet been established [23–27].
Despite recent negative attention, some studies have shown possible positive effects of video games on development. One study by Li et al. found a positive association between motor development and cognitive behavior in preschool age children . Other studies have reported that previous computer game experience enhances laparoscopic simulator performance in physicians . In addition, video games are more frequently being used as adjuncts to learning and training in various settings, including medical education [30,31].
The term “video games” does not always differentiate between console and Internet/computer video games but instead, suggests a loose clustering. Console video games include Nintendo, Sony Playstation, Microsoft Xbox, and others. Internet video games refer to computer games played online in a community setting with other players. Although similar in nature, several important differences exist. Console games can be played with other people, but most games are “single player” and are meant to be played alone. Internet games however, are designed for “multi-player” use and are played with others online, usually at distant sites. Console games are less expensive than Internet games, and do not require a computer. The genre of video games played on the Internet versus console games also differs in content. Console game themes include sports, action, strategy, family, puzzle, role-playing games, and simulation, while video game themes designed for Internet use are more specific and are mainly action and strategy. The video game market, regardless of type, is a multi-billion dollar industry that generally targets children and adolescents.
The relationship between video games and ADHD is unknown. The incidence of ADHD continues to rise and is a significant challenge on medical, financial, and educational resources [32,33]. ADHD is a complex disorder that often requires input from the affected child or adolescent, teachers, parents, and physicians in order to be diagnosed correctly and treated successfully . The Conners’ Parent Rating Scale (CPRS)  is the most widely used instrument to aid in the diagnosis of children with ADHD. The CRS comprises both a parent and teacher questionnaire, and includes a number of components including oppositional behavior, hyperactivity, inattention, and ADHD.
This study examined the relationship between video game use and symptoms of ADHD. Other parameters studied included body mass index (BMI), school grades, work, detentions, and family situation.
Design and procedures
After receiving IRB approval, subjects were recruited from a local high school in Vermont. Permission from school officials was obtained and contact was made with the guidance office and school teachers. Surveys were distributed to all 9th and 10th grade students at the school (n = 221). The survey included sections for students (five pages) and parents (two pages) to complete independently, as well as a consent form which needed to be signed by both the student and parent for participation in the study. All survey data was anonymous. Surveys were collected (n = 162) through the school Guidance Office. Eighteen surveys were omitted due to incomplete responses. The final subject pool comprised 144; 72 each from parents and students. Original power calculations were based on a reported 10% prevalence of psychiatric disorders in the adolescent population and called for a total of 200 students for a power of 0.80. However, statistically significant results were reached after analysis of 144 completed questionnaires and led us to conclude that the study could be terminated at that point.
Time spent playing videos games, watching television, or using the Internet was assessed using a time scale of less than one hour, one to two hours, three to four hours, or greater than four hours. The student survey material included Young’s Internet Addiction Scale, modified for video game use (YIAS-VG; internal consistency, alpha = 0.82) . This scale was validated in previous studies for Internet addictive qualities [13,36]. The questions reflect the negative impact of video games on social functioning and relationships including excessive video game use, neglecting work and social life, anticipation, lack of control, and salience. Parents were surveyed using the Conners’ Parent Rating Scale (CPRS; internal consistency, r = 0.57) . The CPRS divides behavior into four categories: oppositional, hyperactivity, inattention, and ADHD. Other items included gender, family situation, exercise per week, detentions in the last month, work, and academic performance. Family situation was defined as either living with married parents or living with one parent who was divorced or separated. Academic performance was assessed by overall grade point average and last grade earned in both mathematics and English classes given that these two areas are accepted as core competencies in any high school curriculum.
The dependent variables reported in numerical format (BMI, grades, YIAS-VG, CPRS) were analyzed using the student’s t-test and the Mann-Whitney test. The latter method is based on median values and is the preferred method when testing small sample sizes. Data reported as “yes/no” (sex, work, detentions, exercise, and family situation) was analyzed using the chi-square test. Results were considered significant if p ≤ 0.05. Time spent playing video games, watching television, and using the internet was the independent variable. The time intervals compared were for student who spent less than one hour or greater than one hour on a particular activity. The one hour cutoff was used because it gave a more even distribution of sample sizes between the two groups although other time intervals were also compared.
The study cohort comprised 72 students; 31 males and 41 females in the ninth and tenth grade. Average age was 15.3 ± 0.7 years. Subject demographics are shown in Table Table1.1. Almost 32% of students worked and 89% had parents who were married. Ten students had at least one detention in the last month and two students were involved in a physical fight in the last year. Four students consumed alcohol and one student reported daily smoking. Two students reported a diagnosis of ADHD and four reported having depression and/or anxiety.
The mean BMI for adolescents who watched less than one hour of television per day was 20.28 ± 2.33 and 22.11 ± 4.01 for those who watched more than one hour of television (p = 0.017, Table Table2).2). There was a trend towards a higher BMI for adolescents spending more than one hour playing video games, but these results were not significant. No association was found between BMI and time spent on the Internet.
Students who played video games for more than one hour had significant increases in scores on the YIAS-VG (p < 0.001 for console and Internet video games, Table Table3).3). Other activities were associated with a trend toward increased YIAS-VG, but were not significant.
There was a significant increase in inattentive (p ≤ 0.001 for both Internet and console video games) and ADHD (p = 0.018 and 0.020 for console and Internet games, respectively) behavior in those who played video games for more than one hour (Table (Table3).3). No significant association was found between the hyperactivity or oppositional components of the CPRS and video game use. No significant relationship was found in any of the four categories and Internet or television use.
There was a trend toward lower grades in students who surf the Internet and play video games for more than one hour, but these results were not significant (Table (Table4).4). However, significantly lower grades were found between students who play video games for more than one hour and overall grade point average (GPA, p = 0.019 and 0.009 for console and Internet games, respectively).
Males were significantly more likely than females to spend greater than one hour a day playing console or internet video games (p < 0.001 and p = 0.003, respectively). Twenty males reported playing video games for more than one hour a day versus only one female adolescent reported playing internet video games for more than one hour. There was no significant relationship between gender and time spent watching television or on the Internet. We also found no significant association between time spent on any media form and students who worked, had married parents, received more detentions per month, or exercised more frequently.
ADHD among children and adolescents has been attributed to both genetic and environmental factors. Of the media influences, only excessive Internet use has been reported to be associated with ADHD. The diagnosis of ADHD relies on input from teachers, parents, and physicians. This study found an increase in ADHD and inattention symptoms in adolescents who play video games for more than one hour a day.
The prevalence of ADHD in adolescents is reported to be 4–7% [37,38]. This study found a prevalence of 8.3% based on a reported diagnosis by a parent. It was not possible to determine the actual diagnosis of ADHD based only on the raw scores of the CRPS. More or more severe symptoms of inattention and ADHD behavior were found in students who played video games for more than one hour, but further study is needed to more clearly understand the association between video games and ADHD. It is unclear whether playing video games for more than one hour leads to an increase in ADHD symptoms, or whether adolescents with ADHD symptoms spend more time on video games.
This study found no association between video games use and oppositional or aggressive behavior. Previous research has shown a positive correlation between violence in video games and aggressive behavior [4,14,20,21]. It is possible that video games only lead to this type of behavior in groups prone to violent behavior or in conjunction with other forms of violence in media. The power of this study was not designed to detect such differences, thus no inferences can be made.
The effect of television viewing on BMI has been reported in several studies [1,2,5,6]. We found a significant association between increased BMI and watching television for more than one hour. Playing video games for more than one hour was not associated with an increase in BMI. Previous studies found a significant relationship between BMI and video games in younger populations [18,19]. Our findings suggest this association may persist into early adolescence.
Time on the Internet was not associated with increased BMI; a trend towards decreasing BMI was found in adolescents who use the Internet for more than one hour. Our findings suggest that current recommendations to limit television and video game times for children should be followed .
Both console and Internet video games were associated with an increase in addiction scores as measured by YIAS-VG. The YIAS-VG assesses the degree to which video games negatively impact different social factors including daily activities, relationships, sleep, and daily thoughts. The increase in YIAS-VG scores imply that playing video games for more than one hour a day does have a negative impact on relationships and daily activity. We did not define a cutoff on the YIAS-VG to identify “excessive” video game use but the scores in our cohort were not high enough to be considered as evidence of “Internet Addiction” [13,36].
GPA was lower in those who played video games for more than one hour. Even though this study cohort had a relatively high overall GPA, the difference between an “A” (less than one hour of video games) versus a “B” (more than one hour of video games) is a significant change in grade. For students who are less academically proficient, this may be especially important. There was also a trend towards a lower GPA in students who watch television for more than one hour. Excessive television has been reported to be associated with poor school performance .
This investigation found that playing console and Internet video games for more than one hour a day has negative social and academic effects in adolescents. This association does not depend on being “addicted” to video games or playing for excessive time periods. Furthermore, there was no difference between playing video games on the Internet or on a console system. The intensive nature of video games is likely to cause this time dependent relationship between video games and behavior disorders, regardless of whether it is over the Internet or on a console system.
Several limitations of the study exist. This cross-sectional comparison of video games and ADHD does not allow for cause-effect relationships to be established. Therefore, it is impossible to say whether playing video games leads to an increase in ADHD symptoms, or if adolescents with more ADHD symptoms tend to spend longer times playing video games. Prospective studies to examine this relationship more closely are certainly justified. The subject cohort was also not representative of all groups. The large majority of students who responded to the survey were Caucasian, not involved with drugs or alcohol, had married parents, and did well in school. Thus, the association between video games and ADHD in other cohorts cannot be inferred. This study was designed to analyze adolescents who spent more than one hour of time playing video games. It would be interesting to examine the latter cohort in more detail to determine if there is a linear relationship between time spent playing video games and ADHD symptoms or academic performance, or if some other relationship exists among those who spend excessive time on these activities.
To our knowledge, this is the first study to find an association between video game use and ADHD symptoms in adolescents. Assessment of ADHD risk factors often involves identification of home and academic environmental factors. Parental relationships, early childhood development factors (i.e. preterm delivery), and excessive Internet use are associated with ADHD later in life. Identification of these and other risk factors that contribute to ADHD will lead to prevention and earlier treatment strategies.
This article was amended post-publication. The Beck Depression Inventory was originally listed in Appendix A (Table (Table5),5), but has been removed for copyright reasons.
We thank Diantha Howard for statistical assistance and Juliette Chan for her support. We are grateful to Linda Barnes and Sarah Smith Conroy for their assistance.
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