5.7–18.4 years, and longitudinal=223 aged
8.4–21.3 years). Japan
The methodological quality of the one randomized trial was based on the Consolidated Standards of Reporting Trials (Consort) strategy, which contains a checklist with 25 items, divided into: title and abstract (one item with two sub-items); introduction (one item with two sub-items); methods (five items) and a topic with information about randomization (five items); results (seven items); discussion (three items); and other information, such as registration, protocols and funding (three items). 9 , 10 Each item, if met, equals 1 point, and they were all added up according to the analysis of the papers. The score of methodological quality of this randomized trial is shown in Table 1 .
In order to synthesize the description of characteristics as main results and descriptive approach, the following information was extracted from each selected article: name of the main author, year of publication, country where the study was performed, design, sample size, type of technology evaluated, statistical variables, main results, and limitations.
Searches on PubMed and VHL using the descriptors “internet”, “child” and “growth and development” retrieved 550 articles. After applying inclusion criteria, 221 studies were selected and, after reading the titles and abstracts, 125 were excluded. 92 articles were read in full and, per the inclusion criteria and a detailed analysis, four studies were selected. Four other articles were included after an additional search in the reference list of primarily selected articles; the studies should have the same inclusion criteria defined in the methodology. Thus, eight articles made up the sample. The flowchart is shown in Figure 1 .
Most studies were epidemiological. Almost all of them were observational (n=7), and only one was an intervention study. The observational studies included were longitudinal and/or cross-sectional (n=5), case-control (n=1) and cohort studies (n=1). Only one experimental study was included, a randomized controlled trial (n=1), as shown in Table 1 .
Their methodological quality was based on their scores ( Table 1 ). Most studies were observational (n=7) and, therefore, were evaluated according to the Strobe criteria 7 . The score ranged from 17 to 22, and most articles reached 20 points (n=4), which is good methodological quality. The quality of the randomized trial with 18 points—according to the Consort 2010 criterion, which has a maximum score of 25—was also considered good. 9
The main results about the implications of technology in childhood are detailed in Tables 2 and and3 3 .
Authors (year) | Media type | Main results |
---|---|---|
Takeuchi et al. (2018) | Internet | Higher frequency of internet use was associated with decreased verbal intelligence and smaller increases in brain volume after a few years. The areas of the brain affected are related to language processing, attention, memory, and executive, emotional and reward functions. |
Slater et al. (2017) | Games (Internet) | Internet games that focus on appearance can be harmful to girls’ body self-image. |
Folkvord et al. (2017) | Games ( ) | Advertising games (advergames) encourage the consumption of unhealthy foods. |
Slater et al. (2016) | Television | Children are able to absorb or internalize social messages about sexualization, illustrated in the study as the desire for sexualized clothing. Internalizations had a negative impact on their body self-image. |
Takeuchi et al. (2016) | Games ( ) | Playing video games for long periods can cause direct or indirect interruption in neural systems’ development, which can be related to an unfavorable neurocognitive development, especially verbal intelligence. |
Takeuchi et al. (2015) | Television | Watching television affects the regional volume of the brain associated with verbal language. TV watching time was negatively correlated with verbal intelligence quotient. It can indirectly affect sensorimotor areas. |
Authors (year) | Media type | Main results |
---|---|---|
McNeill et al. (2019) | Television, Games, Apps | Use of electronic applications for less than 30 minutes a day and limited media viewing could be associated with cognitive and psychosocial development of preschool-age children. |
Yu and Park (2017) | Internet | Use of internet to socialize, exchange ideas and talk about concerns. An opportunity to socialize and make friends. |
After reading and analysis, the articles were classified and distributed into two categories according to their approach: negative aspects (n=6) and positive aspects (n=2). The review results are reported below.
Six of the studies linked technologies to negative aspects. The papers highlitghed intellectual complications, 3 , 11 , 12 body image dissatisfaction 13 , 14 and encouragement of unhealthy food consumption. 15 Table 2 shows the main information.
Excessive internet use is transversally associated with lower cognitive functioning and reduced volume of several areas of the brain. In longitudinal analyses, a higher frequency of internet use was associated with a decrease in verbal intelligence and a smaller increase in the regional volume of gray/white matter in several brain areas after a few years. These areas relate to language processing, attention and executive functions, emotion and reward. 3
In a study conducted with 80 British girls aged 8 and 9 years, appearance-focused games led participants to have a greater dissatisfaction with their appearance compared to control girls, who were not exposed to such games. Therefore, internet games that address appearance can be harmful to girls’ body self-image. 13
It’s not just appearance-focused games that have a negative impact on body image. TV shows, depending on the approach, can also impact negatively psychological development. In a study with Australian girls, some TV shows aimed for the age group of 6-9 years focused on sexualization were absorbed or internalized as social messages by children. The authors stated that the exposure made these girls whish to wear sexualized clothes and create negative relationship with their body image. 14
Furthermore, a study with 562 Dutch and Spanish children reported that, among Dutch children, games with advertisements (advergames) for high-calorie foods stimulated the consumption of unhealthy foods, while those who played other games with advertisements other that food-related, were less inclined to this eating habit. 15 Thus, depending on what the child is exposed to, some influences may not be beneficial.
Video games were associated with increased mean diffusivity in cortical and subcortical areas. That is, prolonged video game use was associated with negative consequences, as it can directly or indirectly interrupt the development of neural systems and cause unfavorable neurocognitive development, especially when it comes to verbal intelligence. 11
Another study on children’s exposure to television, identified a negative effect on the gray matter of the frontal area of the brain with consequences for verbal language. No changes were identified in sensorimotor areas as related to TV watching time; the effect may not be direct, since watching this media is often associated with less physical activity, which, in turn, causes changes in the volume of gray matter in sensorimotor areas. 12
Only two studies brought the positive aspects of technology use, related to cognitive and psychosocial development 16 and forms of interpersonal relationships. 17 Main information is shown in Table 3 .
Associations of electronic media use with psychosocial development and the executive function among 3- and 5-year-olds, particularly related to total screen time, TV shows viewing, and application use were assessed by the authors, who concluded that cognitive and psychosocial development in children 12 months later was positive when exposure to these media lasted less than 30 minutes a day. 16
In a study conducted with 2,840 students in South Korea, children with depressed mood were more likely to use the internet to socialize, exchange ideas and talk about their concerns as a way to meet their friendship needs. The Internet can be beneficial for children, who can take advantage of online opportunities for socialization and friendships based on common interests. 17
The studies analyzed, in general, show that children currently spend a significant amount of time on the Internet or other means of information, and consider that this exposure can have positive and negative impacts on children’s cognitive development and learning skills.
As for the negative impacts of this habit in childhood, the higher frequency of internet use is associated with a significant decrease in verbal intelligence, mainly related to language skills and concentration/attention abilities. One study reported frequent internet use by children as related to decreased memory performance. 18
Another issue that must be taken into account is the number of games emerging all the time with new elements of fun and entertainment to attract children. An alert should be raised, however, about destructive websites such as the Blue Whale Challenge, which target vulnerable children and young people, threaten their physical integrity and are completely unethical, leading to the gradual destruction of society. 19
On the other hand, researchers have identified, among the most frequent purposes in allowing children access technology declared by parents, the promotion of problem-solving skills (56.7%), learning of basic mathematics (53.8%), developing hand-eye coordination (46.2%), introduction to reading (51%), language (47.1%) and science (26%), as well as entertainment (56.7%). 20
Based on the studies selected, we point out an unexpected result for parents: the problematic use of electronic devices at an early age can have children show low levels of openness to experiences, increasing the level of emotional instability, impulsive or other behaviors related to attention. Then, we must reinforce that exposure to media must be carefully pondered by parents and guardians as to avoid media dependence and misuse.
Problematic internet use (PIU) is associated with less openness and agreeableness, as children with higher levels of PIU end up with a deficit in social skills and difficulties in establishing interpersonal relationships, which can lead to being less open and visible, or less friendly externally. It was also found that these children tend to experience negative emotions and use the internet as a means of feeling better about their everyday problems or unpleasant feelings. Relationships were also between problematic video game use and behavior problems, specifically related to thoughts, attention, and aggressive behavior. 21
In order to bypass the negative effects of inappropriate use of the internet, one cannot ignore, on the one hand, the positive side of these technologies. Technology is extensively available and it is almost impossible to remove it from children’s daily lives. 22 But the negative effects mentioned during the discussion deserve the same attention, as the authors place parental control and moderation as key factors. 23 In this sense, there is a directly proportional link between parental participation and attention and a less harmful relationship between children and technologies, especially regarding social factors. 24
Currently, children spend their lives immersed in the world of digital media, and research has consistently shown the growing, early and diversified use of this media. Children exposed to electronics tend to develop a desire for continued use, creating a potentially harmful cycle. Even more worrisome are the effects of digital media on young children by disrupting parent-child interaction, which is critical to a healthy emotional and cognitive development. 25
There are potential benefits of digital technology as a tool to enhance early childhood development, creativity and social connection, but it is imperative that parents monitor what their children are consuming and help them learn from it. 26
A review of the literature about media reported an adverse association between screen-based media consumption and sleep health, mainly due to delays in bedtime and reduced total sleep duration. The underlying mechanisms of these associations include:
There is, therefore, and evident need to identify the warning signs of excessive technology use in this age group and define the appropriate limit of daily screen time. Children can make a balanced use of technologies, taking advantage of them without exaggeration, favoring communication and the search for information that is relevant to learning.
It is important to emphasize that pre-judgments about technology-dependent children should be avoided, and knowing their feelings about themselves, as well as the factors that bother them, is important, as well as having a sensitive listening to form a vision of ideal approach in this condition of technology dependence by means of suggested strategies to effectively face these difficulties. 28
Although this review has important and interesting results, some limitations must be listed. First, there the number of studies identified with the criteria of our work was limited. Also, most of the studies were observational. Therefore, experimental research must be carried out as a means to understand the cause-consequence dynamics between media and their implications for child development. Further studies with larger samples and specific age groups, which would be relevant to increase statistical power, are needed.
The analysis of the articles showed positive and negative factors associated with the use of technologies by children. The main losses caused by technology use in childhood are excessive time connected to the internet, worsening of mental health, and changes in the circadian rhythm. The articles mentioned as negative factors the development of intellectual impairments, including verbal intelligence and attention, emotional instability, internet addiction, binge eating and physiological changes.
The main benefits of the use of technologies by children found were the strengthening of friendships and the possibility of greater social connection. For the preschool age group, there is evidence of improvement in cognitive and psychosocial development. Thus, in order to have technology as an ally for healthy child development, parents and guardians should limit the time of use and control the type of content seen and shared by children.
Currently, preventing internet use is an unrealistic measure, since parents and guardians also make great use of technologies. However, because of the new settings imposed by the COVID-19 pandemic, many services have moved towards digitization, including education and social interaction. Internet use nowadays is a reality for all age groups and makes this study relevant; measures aimed at optimizing its use and reducing risks must, therefore, be adopted. Once again, we emphasize the importance of parents and guardians as moderators and update training of health professionals to better guide them.
Further studies are suggested so the notion of risk-benefit of internet use and its long-term consequences for child development is kept up to date.
The study did not receive any funding.
In the contemporary world, symptoms of depression, stress, anxiety, and other mental disorders have become more prevalent among university students. Researchers have proven that time spent on social media, videos, and Instant messaging is directly associated with psychological distress. This bibliography examines different literature discussing how technology affects mental wellness.
The scope of this research is to uncover the consequences of technology use on mental health. The research question above will help examine the relationship between technology use and how this action results in mental illnesses such as anxiety and depression. Information used in this study includes both primary and secondary sources focusing on their observational and experimental data analysis.
The article explores how web-based social networking is a significant limitation to mental health. Deepa and Priya (2020) introduce a concept of time whereby they explain that the hours spent on social networking platforms promote depression and anxiety (Deepa & Priya, 2020). Some of the digital technology students use are Instagram, Facebook, Twitter, YouTube, and other web-based sites platforms, which have become a threat to mental health (Deepa & Priya, 2020). The authors explain that researchers discovered that excessive social media use was linked to mental illnesses during schooling. However, it may be alleviated by dialectical thinking, positivity, meditation, and active coping.
The authors used descriptive research using simple sampling questionnaires and ANOVA to study different groups of students and the social media platforms they use. This system provided mixed results based on these groups and examinations (Deepa & Priya, 2020). The research findings revealed a relationship between being active on social media and depression. The authors contradict a study done by Gordon et al. (2007) that mentions that the time spent on the internet has nothing to do with depression (Deepa & Priya, 2020). Instead, it is what students engage in when they are active online. This study is credible because it is not outdated and involved many participants, which helped strengthen the hypothesis created. This source will be integral in answering the types of technology students use and their consequences on mental wellness. Additionally, the journal’s credibility is guaranteed, considering that the article is an international publication. This title indicates that the journal has been peer-reviewed by many other scholars to ensure the information provided is accurate.
The article examines how internet use affects well-being by analyzing the rate of internet use among college students. Gordon et al. (2007) mention that technology use is triggered by self-expression, consumptive motives, and sharing information. In this study, Gordon et al. (2007) posit that frequency of internet use does not affect mental illness. Instead, they mention that what students do on those platforms is the factor that contributes to mental illness.
First, they mention that the internet has provided ways for students to get new acquaintances, find intimate partners, and conduct research for their college assignments, among other things. This factor indicates that these students’ daily life has become increasingly reliant on the internet (Gordon et al., 2007). Therefore, increased internet use has formed a new environment, full of peer pressure. This explanation is an indication of what they do on the internet. The reason is that they see, admire, and adopt new habits which increase stress and depressive symptoms. Additionally, overdependence on technology has affected family cohesion and social connectedness.
The article provides similar ideologies as Junco et al. (2011) that technology causes social isolation by keeping students from the realities in their environment. It explains that students live a fictional life by actively engaging in technology to hide their true selves (Gordon et al., 2007). The research is valid considering it applies rationales from different authors to justify their deduction that technology use has become an avenue for peer pressure among students. This article is essential since it explains the negative impact of technology on mental health, which is explored in this research. It is also a scholarly article considering that these authors have doctors of philosophy in education, indicating vast knowledge and command to undertake this research.
These researchers use unique survey data to investigate the adverse effects of instant messaging on academic achievement. They explain that instant messaging is not destructive since it can provide company when needed. However, excessive use of instant messaging reduces concentration by diverting the mind’s attention away from the facts of the surroundings. Students lose focus when multitasking activities like chatting while studying (Junco & Cotten, 2011). It also impacts the essential, incidental, and representational processing systems, the foundation for learning and memory. When they fail their tests, they become withdrawn with significant effects, such as anxiety and depression.
Additionally, the authors mention that students using IM become socially disengaged since IM becomes their point of contact with others. Considering all these effects, it is evident that IM can cause anxiety, depression, and social isolation if not regulated. Unlike Gordon et al. (2007), who mention only the detrimental effects of using technology, these authors mention that IM, an example of technology, helps students manage stress (Junco & Cotten, 2011). They explain that through a survey of a target group whereby students reported that IM and other online platforms such as video games had provided contact with the outside world, which relieves stress.
This article’s viability is uncertain because most arguments presented are derived from other researchers’ work (Junco & Cotten, 2011). However, the article is helpful for my research because it provides the negative and positive effects of using technology. The position of this research is that IM can help deal with stress. The viability of this research is verified considering the research has been reviewed by Mendeley Company which generates citations for scholarly articles.
Karim et al. (2020) explore how social media impacts mental health. They begin by conducting a qualitative analysis of 16 different studies provided by various researchers on the topic (Karim et al., 2020). First, they listed different types of social media platforms, including Twitter, Linkedin, Facebook, Instagram, and Snapchat, to be the most widely used social media platforms among the youth. They also mention that social media has become an influential technology in the contemporary world (Karim et al., 2020). Although social media has incredible benefits, it is linked to various mental health issues such as depression and anxiety. Some works agreed that social media use is detrimental to mental well-being, and the timing does not matter (Karim et al., 2020). In contrast, other studies suggested that no evidence justifies the maximum time one should be active on social media. None of the research provided the limit of time recommended for anyone to be active on social media.
The credibility of the piece is jeopardized because the researchers did not conduct their study to identify the correlation between mental health and technology (Karim et al., 2020). However, it provides substantial ideas drawn from other credible sources, which are essential in providing information addressing this topic. For example, their position is that long hours of social media use contribute to depression and anxiety (Karim et al., 2020). This focus is integral in my research since it addresses the impact of technology on mental health by explaining the possible avenues for mental health crises.
Lattie et al. (2019) investigate how the rise in mental disorders such as anxiety and depression correlates with computing technologies. According to these authors, personal computing technologies such as smartphones have become the source of mental health crises since they provide access to social media (Lattie et al., 2019). This platform has promoted harmful ideas that make people experience peer comparison. For instance, “fear of missing out (FOMO) is a pressure promoted by media which dictates how people interact, behave and talk within these platforms” (Lattie et al., 2019, para. 8). FOMO is when people feel the need to fit in with a specific trend by emulating verbatim how their internet friends behave, dress or talk. For instance, if all the girls on social media put on branded clothes for attention, every girl on the platform would also want to be like them. This pressure will result in stress to keep up with the standards set, promoting mental health disorders. These authors conclude that the pressure to feel accepted has increased the number of students negatively affected by technology.
However, the authors also mention that this digital platform has played a significant role in promoting mental health wellness. In addition, some of the interventions available such as the Headspace and Pacifica applications, are technology-enabled and provide coping skills when students face a crisis (Lattie et al., 2019). Lattie et al. (2019) provide similar sentiments as Junco et al. (2011), who also stated that technology is not entirely to blame for mental crises considering that activities such as assimilation of culture affect well-being. Additionally, this article is relevant since it has applied different up-to-date scholarly reasoning to create a hypothesis (Lattie et al., 2019). Finally, the article’s position is that social media promotes mental health by providing coping skills while also deteriorating it by contributing to disorders such as depression. However, this information is contrary to what Junco et al. (2011) mention that technology has the power to relieve stress by providing a coping mechanism.
The article provides informative discussions on the risks that digital presence has promoted. Skillbred-Fjeld et al. (2020) mention that many people have experienced harassment online based on their appearance, ethnicity, age, race, and religion. This exposure to bullying has resulted in psychological distress such as depression and suicidal thoughts. The authors indicate that most students spend more hours on digital media than how they spend with families and friends while also being more exposed to harassment. This disconnect is also a challenge to maintaining mental health, considering it breaks the bond between families and friends.
These authors stress that cyberbullying is a prevalent occurrence in online engagement and has detrimental effects on individuals. This article does not share similar rationales with other articles in this search since it focuses on proving how cyberbullying results in mental illness. The article answers the proposed research question, and its position is that cyberbullying affects most students using digital communication systems (Skilbred-Fjeld et al., 2020). The article is credible for this research since the author engaged in intensive searches, which enhanced the viability of the information provided.
In her article “Cyberspace and Identity,” Turkle (1999) posits that the development of cyberspace interactions has extended the range of identities. The author establishes her case with four essential points. Her first observation is that digital presence is based on fiction and not reality. Second, she claims that digital profile results from a digital exhibition that does not last. The third point made by Turkle (1999) is that online identity affects real self-considering the fact that it affects thoughts and behaviors). Finally, she claims that online identity exemplifies a cultural conception of diversity.
This author introduces the aspect of role-playing promoted by digital presence. She mentions that people are given a chance to portray themselves in a different light from reality on digital platforms considering the anonymity established when altering self-image through textual construction (Turkle, 1999). The research by Gordon et al. (2007) reinforced this claim when they mentioned that digital engagement does not cause mental illness. Instead, what students do on those platforms is the primary factor contributing to mental illness (Turkle, 1999). This factor is relatable in the current digital world since people share their adventurous moments, making others who cannot enjoy such things feel unworthy, posing a significant threat to mental wellness. The article’s position is that images portrayed on digital platforms are illusions, and they have promoted peer pressure, anxiety, and depression in people who believe them to be true (Turkle, 1999). The same sentiments are shared by Skilbred-Fjeld et al. (2020) since they mention that social media has become a site to dehumanize others who are less privileged. This occurrence promotes fear, self-hate, and depression, indicating a match in reasoning among these authors.
Deepa, M., & Priya, K. (2020). Impact of social media on mental health of students. International Journal of Scientific & Technology Research , 9 (03). Web.
Gordon, C., Juang, L., & Syed, M. (2007). Internet use and well-being among college students: Beyond frequency of use. Journal of College Student Development , 48( 6), 674-688. Web.
Junco, R., & Cotten, S. R. (2011). Perceived academic effects of instant messaging use.
Computer & Education , 56 (2), 370-378. Web.
Karim, F., Oyewande, A. A., Abdalla, L. F., Ehsanullah, R. C., & Khan, S. (2020). Social media use and its connection to mental health: A systematic review. Cureus , 12 (6). Web.
Lattie, E. G., Lipson, S. K., & Eisenberg, D. (2019). Technology and college student mental health: Challenges and opportunities. Frontiers in psychiatry , (10) , 246. Web.
Skilbred-Fjeld, S., Reme, S. E., & Mossige, S. (2020). Cyberbullying involvement and mental health problems among late adolescents. Cyberpsychology: Journal of Psychosocial Research on Cyberspace , 14 (1). Web.
Turkle, S. (1999). Looking toward cyberspace: Beyond grounded sociology. Cyberspace and identity. Contemporary Sociology , 28 (6), Web.
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