ArticlePDF Available

The Negative Effects of Digital Technology Usage on Children’s Development and Health

Authors:
  • Istanbul University-Cerrahpasa
  • Bingol University Faculty of Physical Therapy and Rehabilitation

Abstract

Today, children and adolescents are growing up exposed to both traditional and modern technology. While it is known that the increase in the use of traditional technology, such as television and its content, have negative effects on children’s development and health, studies have shown such modern technologies as smartphones, tablets, and computers that have been developed and become increasingly widespread over the past decade to be beneficial and to constitute health risks for children. It seems that children’s inappropriate use of such technological devices in terms of content, duration, frequency, and the posture they adopt while using them pose a variety of health risks, including developmental problems, musculoskeletal problems, physical inactivity, obesity, and inadequate sleep quality. This study reviews the literature on the clinical problems that digital technology use has on children. In order for children and adolescents to adopt a healthy life style, it is important to monitor the time, frequency, and content viewed while using technological devices and to ensure that children have or develop adequate physical activity opportunities, healthy eating habits, proper sleep cycles, and nurturing social environment.
ADDICTA: THE TURKISH JOURNAL ON ADDICTIONS
Copyright © 2018 Turkish Green Crescent Society
http://addicta.com.tr/en/
ISSN 2148-7286 eISSN 2149-1305
Autumn 2018 5(2) 13–21
Extended Abstract
Abstract
Today, children and adolescents are growing up exposed to both traditional and modern technology. While
it is known that the increase in the use of traditional technology, such as television and its content, have
negative effects on children’s development and health, studies have shown such modern technologies as
smartphones, tablets, and computers that have been developed and become increasingly widespread over the
past decade to be beneficial and to constitute health risks for children. It seems that children’s inappropriate
use of such technological devices in terms of content, duration, frequency, and the posture they adopt
while using them pose a variety of health risks, including developmental problems, musculoskeletal
problems, physical inactivity, obesity, and inadequate sleep quality. This study reviews the literature on
the clinical problems that digital technology use has on children. In order for children and adolescents to
adopt a healthy life style, it is important to monitor the time, frequency, and content viewed while using
technological devices and to ensure that children have or develop adequate physical activity opportunities,
healthy eating habits, proper sleep cycles, and a nurturing social environment.
Keywords
Health • Technology • Child • Risk • Addiction
To cite this article: Mustafaoğlu, R., Zirek, E., Yasacı, Z., & Razak Özdinçler, A. (2018). The negative effects of digital
technology usage on children’s development and health. Addicta: The Turkish Journal on Addictions. Advance online
publication. http://dx.doi.org/10.15805/addicta.2018.5.2.0051
The Negative Effects of Digital Technology Usage on
Children’s Development and Health*
* This is an extended abstract of the paper entitled “Dijital Teknoloji Kullanımının Çocukların Gelişimi ve Sağlığı Üzerine
Olumsuz Etkileri” published in Addicta: The Turkish Journal on Addictions.
Manuscript Received: November 29, 2017 / Accepted: March 15, 2018 / OnlineFirst: April 30, 2018.
1 Department of Neurological Physiotherapy and Rehabilitation, Division of Physiotherapy and Rehabilitation, Faculty of
Health Sciences, Istanbul University, Istanbul Turkey. Email: ahiska_1944@hotmail.com
2 Division of Physiotherapy and Rehabilitation, Institute of Health Sciences, Istanbul University, Istanbul Turkey. Email:
zireke@gmail.com
3 Correspondence to: Zeynal Yasacı, Department of Physiotherapy and Rehabilitation, Institute of Health Sciences, Istanbul
University, İstanbul Turkey. Email: zeynalyasaci@gmail.com
4 Department of Neurological Physiotherapy and Rehabilitation, Division of Physiotherapy and Rehabilitation, Faculty of
Health Sciences, Istanbul University, Istanbul Turkey. Email: arzuozdincler@hotmail.com
Rüstem Mustafaoğlu1
Istanbul University
Emrah Zirek2
Istanbul University
Zeynal Yasacı3
Istanbul University
Arzu Razak Özdinçler4
Istanbul University
ADDICTA: THE TURKISH JOURNAL ON ADDICTIONS
14
Digital technology’s integration into the daily lives of children and its inuence
on their cognitive, emotional, and social development continues to increase day by
day. Technology offers many opportunities for children to play, explore, and learn
(Linebarger & Piotrowski, 2009). Since children’s brains are extremely exible in
this period, these learning opportunities constitute a critical developmental point in
children and through the natural exploration and discovery of their own world, new
connections between neurons are formed and existing connections are strengthened
(Blanchard & Moore, 2010).
Use of Digital Technology among Children
In the United States, more than 1,000 parents reported on a nationwide telephone
interview that their children under the age of 6 used digital technology an average of
1.58 hours a day, played outside an average of 2.01 hours, and spent 39 minutes reading.
In the study, it was found that 36% of the children lived in a house where the television
was constantly on, 45% of the parents used television as a means to keep their children
occupied when they had important jobs to complete, and 27% of the children between
4 and 6 used a computer every day (Rideout, Vandewater, & Wartella, 2003).
Technological Tools and Their Effects
Television. Television plays an active role in children’s world due to its visually
and auditory captivating and entertaining nature. Watching an excessive amount of
television and videos by children less than two years of age has been reported to
signicantly inuence language development and behavioral disturbances (Chonchaiya
& Prusanandaonda, 2008; Mistry, Minkovitz, Strobino, & Borzekowski, 2007).
Computer. Similar to television, computers have become an indispensable element
in children’s lives. Spending too much time on the computer from an early age can
negatively affect academic success due to the low concentration, lack of attention
and disorganization, undeveloped language skills, creativity, and imagination seen in
children as a result of excess computer use (Cordes & Miller, 2000; Palmer, 2015).
Internet. Studies on the internet’s possible effects on early literacy activities
have explored whether the internet offers intentional and unintentional learning
opportunities, and the impact of the internet on early literacy is still not fully understood
(Coiro, Knobel, Lankshear, & Leu, 2008). Easy access to illegal, violent, and sexual
content, communication with dangerous people, and excessive dependence on games
constitute only a few of these signicant risks (Iscibasi, 2011).
Video games. Although much has been written about the effects of video games
on children and adolescents, there has been little work done on the effects of video
games on young children (Bailey, West, & Anderson, 2011). Violent video games
Mustafaoğlu, Zirek, Yasacı, Razak Özdinçler / The Negative Effects of Digital Technology Usage on Children’s Development...
15
can lead children to aggressive behavior and inhibit creative game play (Provenzo,
1992). Studies have shown that there is a strong link between violence in video
games and real life violence, and that these games lead to social isolation and lack of
communication and communication with children (Kutner & Olson, 2008).
Smart phones. An increased use of smartphones has been reported to be associated
with passive aggressive, unprotected, socially incompatibility, obsession, addiction,
and anxiety. It has been reported that those children engaged with their smartphone
during school negatively affect both own and their classmates’ attention (Sevi,
Odabaşıoğlu, Genç, Soykal, & Ozturk, 2014; Yen et al., 2009).
Digital toys. As digital toys multiply and become an indispensable part of
children’s daily lives, the increasingly restricted use of outdoor playgrounds may
negatively affect the normal development of children. For normal development,
children need to spend their time with their peers (Rosen et al., 2014).
Developmental and Health Risks of Digital Technology Usage
Digital Technology Usage and Developmental/Behavioral Risks
The use of digital technology has been associated with lack of attention, aggressive
behaviors, physical inactivity, obesity, and sleep problems in preschool and school
age children. The overuse of digital technology causes children to use their time
inefciently. Concern should also be paid to the cognitive and emotional effects that
these technologies have on the development of children (Brown, 2011). The overuse
of technology in early childhood has been found to be related to cognitive, language,
and social/emotional delays in community-based researches (Pagani, Fitzpatrick,
Barnett, & Dubow, 2010).
Digital Technology Usage and Musculoskeletal System
A steady increase in the use of digital technology at home and in school environments
has been reported to cause an increase in musculoskeletal problems (Harris &
Straker, 2000; Kelly, Dockrell, & Galvin, 2009). In addition to psychological factors
such as monitoring anxiety and somatic complaints (headache and abdominal pain)
(Harris, Straker, Pollock, & Smith, 2015), musculoskeletal disorders are associated
with such physical factors as sex, age, body mass index (BMI), and exposure to
sedentary activities. For this reason, playing with toys should be encouraged in
place of watching screens in order to minimize the risks of potential musculoskeletal
disorders and sedentary lifestyles, and conscious instruction manuals for tablets and
other technological devices should be provided to parents and caregivers (Howie,
Coenen, Campbell, Ranelli, & Straker, 2017).
ADDICTA: THE TURKISH JOURNAL ON ADDICTIONS
16
Digital Technology Usage and Physical Inactivity
Evidence that the use of technology has changed physical activity is doubtful, but
it is being investigated as to whether the use of excessive technology, in particular,
takes the place of night’s sleep. In a study on children aged 4-11 years, it was found
that 37% of the children had a low active play level, 65% had high screening time
(television, computer, tablet, etc.), and 26% had a combination of these two (Anderson
& Whitaker, 2010). Another study found that only 4 out of 10 children aged 6-11 years
met the recommendations of the guidelines for both physical activity and screening
duration, further showing that increased age was associated with decreased physical
activity in children (Fakhouri, Hughes, Brody, Kit, & Ogden, 2013).
Digital Technology Usage and Obesity
The rate of obesity in children has tripled in the last 20 years. For healthy
development of children, 3-4 hours of daily physical activity and social interaction
are needed (Hancox & Poulton, 2006). Excessive use of technology is linked to
lifetime obesity and cardiovascular risk and this relationship is now observed starting
from early childhood (Bel-Serrat et al., 2013). The excessive use of social media
during the pre-school period is associated with low, but signicant increases in BMI,
laying the groundwork for weight gain in later childhood (Cox et al., 2012).
Digital Technology Usage and Sleep Quality
Keeping a television, computer, or mobile phone in the bedroom during early
childhood is associated with less sleep (Cespedes et al., 2014). Children who make
excessive use of social media or who sleep with mobile devices in their bedrooms
are at increased risk of experiencing sleep disturbances (Levenson, Shensa, Sidani,
Colditz, & Primack, 2016). Poor sleep quality in adolescents is associated with
extreme mobile phone use while the number of devices in a bedroom and poor sleep
quality are associated with excessive internet use and duration of digital technology
usage prior to sleep in pre-adolescents (Bruni et al., 2015). The use of electronic
devices during the daytime can also affect sleep quality (Hysing et al., 2015).
Conclusion
It is clear that the developments in digital technology and research on these products
will continue. Technological developments are largely variable, and the effects also
depend on the type of device, the type of use, the amount and extent of use, and
the characteristics of the child or adolescent. Since children are currently growing
up using highly personalized technology, parents should strive to ensure that they
are able to implement and benet from the principles of balanced nutrition, quality
sleep, adequate physical activity, and positive social interaction for healthy growth
Mustafaoğlu, Zirek, Yasacı, Razak Özdinçler / The Negative Effects of Digital Technology Usage on Children’s Development...
17
and development by making plans according to the age, health status, character, and
level of development of their children. However, parents should also be aware of
their duties and responsibilities in modeling appropriate technology use while also
striking a balance between technology usage and other activities.
Parents should be aware that their technological device use may also have negative
effects on their children. It should be known that children under the age of four
playing games alone rather than being exposed to technological devices will help
the child develop creative thinking and individual problem solving skills. The total
technology usage time during the day (e.g., watching television and playing games
on computers, tablets, and mobile phones) should be limited to 1-2 hours. Care must
be taken that children aged 2 years or younger not be allowed to face the screen.
Television and technological equipment connected to the internet should be kept
away from the child’s bedroom. If one’s children are allowed to use technological
devices, the use of these devices must be subject to certain rules. Enforce a mealtime
and bedtime “ban” for technological devices, including cell phones. Reasonable, but
rm, rules for cell phones, television, computer games, internet, and social media use
should be established and these rules should not be compromised.
Kaynakça/References
Adams, M. (2005). The promise of automatic speech recognition for fostering literacy growth in
children and adults. In M. McKenna, L. Labbo, R. Kieffer, & D. Reinking (Eds.), Handbook of
literacy and technology (Vol. 2., pp. 109–128). Hillsdale, NJ: Lawrence Erlbaum Associates.
Akçay, D. & Özcebe, H. (2012). Okul öncesi eğitim alan çocukların ve ailelerinin bilgisayar oyunu
oynama alışkanlıklarının değerlendirilmesi. Çocuk Dergisi, 12(2), 66–71.
Anderson, S. E., & Whitaker, R. C. (2010). Household routines and obesity in US preschool-aged
children. Journal of the American Academy of Pediatrics, 125(3), 420–428.
Arısoy, Ö. (2009). İnternet bağımlılığı ve tedavisi. Psikiyatride Güncel Yaklaşımlar, 1(1), 55–67.
Arnas, Y. A. (2005). 3-18 yaş grubu çocuk ve gençlerin interaktif iletişim araçlarını kullanma
alışkanlıklarının değerlendirilmesi. The Turkish Online Journal of Educational Technology,
4(4), 59–66.
Bailey, K., West, R., & Anderson, C. A. (2011). The inuence of video games on social, cognitive,
and affective information processing. In J. Decety & J. Cacioppo (Eds.), The Oxford handbook
of social neuroscience (pp. 1001–1011). Oxford University Press.
Bel-Serrat, S., Mouratidou, T., Santaliestra-Pasías, A. M., Iacoviello, L., Kourides, Y. A., Marild,
S., & Stomfai, S. (2013). Clustering of multiple lifestyle behaviours and its association to
cardiovascular risk factors in children: The IDEFICS study. European Journal of Clinical
Nutrition, 67(8), 848–854.
Blanchard, J., & Moore, T. (2010). The digital world of young children: Impact on emergent
literacy. London, UK: Pearson Foundation.
Bracken, S. S., & Fischel, J. E. (2008). Family reading behavior and early literacy skills in preschool
children from low-income backgrounds. Early Education and Development, 19(1), 45–67.
ADDICTA: THE TURKISH JOURNAL ON ADDICTIONS
18
Braithwaite, I., Stewart, A. W., Hancox, R. J., Beasley, R., Murphy, R., Mitchell, E. A., & Group,
I. P. T. S. (2013). The worldwide association between television viewing and obesity in children
and adolescents: Cross sectional study. Plos One, 8(9), 1–8.
Breen, R., Pyper, S., Rusk, Y., & Dockrell, S. (2007). An investigation of children’s posture and
discomfort during computer use. Journal of Ergonomics, 50(10), 1582–1592.
Brown, A. (2011). Media use by children younger than 2 years. Journal ofthe American Academy
of Pediatrics, 128(5), 1040–1045.
Bruni, O., Sette, S., Fontanesi, L., Baiocco, R., Laghi, F., & Baumgartner, E. (2015). Technology
use and sleep quality in preadolescence and adolescence. Journal of clinical sleep medicine:
Ofcial Publication of the American Academy of Sleep Medicine, 11(12), 1433.
Cameron, A., Stralen, M., Brug, J., Salmon, J., Bere, E., ChinAPaw, M., & Moreno, L. (2013).
Television in the bedroom and increased body weight: Potential explanations for their
relationship among European schoolchildren. Pediatric Obesity, 8(2), 130–141.
Cespedes, E. M., Gillman, M. W., Kleinman, K., Rifas-Shiman, S. L., Redline, S., & Taveras, E.
M. (2014). Television viewing, bedroom television, and sleep duration from infancy to mid-
childhood. Journal ofthe American Academy of Pediatrics, 133(5), 1163–1171.
Chaput, J. P., Klingenberg, L., Astrup, A., & Sjödin, A. M. (2011). Modern sedentary activities
promote overconsumption of food in our current obesogenic environment. Obesity Reviews,
12(5), e12–e20.
Chassiakos, Y. L. R., Radesky, J., Christakis, D., Moreno, M. A., & Cross, C. (2016). Children and
adolescents and digital media. Journal ofthe American Academy of Pediatrics, 138(5), 3–6.
Chonchaiya, W., & Pruksananonda, C. (2008). Television viewing associates with delayed language
development. ActaPaediatrica, 97(7), 977–982.
Coiro, J., Knobel, M., Lankshear, C., & Leu, D. J. (2008). Central issues in new literacies and
new literacies research. In J. Coiro, M. Knobel, C. Lankshear, & D. J. Leu (Eds.), Handbook of
research on new literacies (pp. 1–21). Lawrence Erlbaum Associates, Taylor & Francis.
Cordes, C., & Miller, E. (2000). Fool’s gold: A critical look at computers in childhood. Maryland,
MD: Alliance for Childhood.
Cox, R., Skouteris, H., Rutherford, L., Fuller-Tyszkiewicz, M., & Hardy, L. L. (2012). Television
viewing, television content, food intake, physical activity and body mass index: A cross-
sectional study of preschool children aged 2-6 years. Health Promotion Journal of Australia,
23(1), 58–62.
De Jong, E., Visscher, T., HiraSing, R., Heymans, M., Seidell, J., & Renders, C. (2013). Association
between TV viewing, computer use and overweight, determinants and competing activities of
screen time in 4-to 13-year-old children. International Journal of Obesity, 37(1), 47–53.
Della Sofferenza, O. C. S., & Rotondo, S. G. (2006). Age-dependent association of exposure to
television screen with children’s urinary melatonin excretion. Neuroendocrinology Letters,
27(1), 73–80.
eMarketer. (2016, November 23). Mobile phone, smartphone usage varies globally. Retrieved from
https://www.emarketer.com/Article/Mobile-Phone-Smartphone-Usage-Varies-Globally/1014738
Fakhouri, T. H., Hughes, J. P., Brody, D. J., Kit, B. K., & Ogden, C. L. (2013). Physical activity and
screen-time viewing among elementary school-aged children in the United States from 2009 to
2010. Jama Pediatrics, 167(3), 223–229.
Mustafaoğlu, Zirek, Yasacı, Razak Özdinçler / The Negative Effects of Digital Technology Usage on Children’s Development...
19
Fan, J., McCandliss, B. D., Fossella, J., Flombaum, J. I., & Posner, M. I. (2005). The activation of
attentional networks. Neuroimage, 26(2), 471–479.
Fields, D. A., & Kafai, Y. B. (2009). A connective ethnography of peer knowledge sharing and
diffusion in a tween virtual world. International Journal of Computer-Supported Collaborative
Learning, 4(1), 47–68.
Gortmaker, S. L., Must, A., Sobol, A. M., Peterson, K., Colditz, G. A., & Dietz, W. H. (1996).
Television viewing as a cause of increasing obesity among children in the United States, 1986-
1990. Archives of Pediatrics & Adolescent Medicine, 150(4), 356–362.
Granic, I., Lobel, A., & Engels, R. C. (2014). The benets of playing video games. American
Psychologist, 69(1), 66–78.
Grifths, M. (1995, February). Technological addictions. Clinical Psychology Forum, 71, 14–19.
Gürcan, A., Özhan, S. & Uslu, R. (2008). Dijital oyunlar ve çocuklar üzerindeki etkileri. Ankara:
Başbakanlık Aile ve Sosyal Araştırmalar Genel Müdürlüğü.
Hancox, R. J., & Poulton, R. (2006). Watching television is associated with childhood obesity: But
is it clinically important? International Journal of Obesity, 30(1), 171–175.
Harris, C., & Straker, L. (2000). Survey of physical ergonomics issues associated with school children’s
use of laptop computers. International Journal of Industrial Ergonomics, 26(3), 337–346.
Harris, C., Straker, L., Pollock, C., & Smith, A. (2015). Children, computer exposure and
musculoskeletal outcomes: The development of pathway models for school and home computer-
related musculoskeletal outcomes. Journal of Ergonomics, 58(10), 1611–1623.
Hinkley, T., Verbestel, V., Ahrens, W., Lissner, L., Molnár, D., Moreno, L. A., & Russo, P. (2014).
Early childhood electronic media use as a predictor of poorer well-being: A prospective cohort
study. Jama Pediatrics, 168(5), 485–492.
Howie, E. K., Coenen, P., Campbell, A. C., Ranelli, S., & Straker, L. M. (2017). Head, trunk and
arm posture amplitude and variation, muscle activity, sedentariness and physical activity of 3
to 5 year-old children during tablet computer use compared to television watching and toy play.
Applied Ergonomics, 65, 41–50.
Hysing, M., Pallesen, S., Stormark, K. M., Jakobsen, R., Lundervold, A. J., & Sivertsen, B. (2015).
Sleep and use of electronic devices in adolescence: Results from a large population-based study.
BMJ Open, 5, e006748.
İşçibaşı, Y. (2011). Bilgisayar, internet ve video oyunları arasında çocuklar. Selçuk Üniversitesi
İletişim Fakültesi Akademik Dergisi, 7(1), 122–130.
Jacobs, K., Hudak, S., & McGiffert, J. (2009). Computer-related posture and musculoskeletal
discomfort in middle school students. Work, 32(3), 275–283.
Johnson, J. E., & Christie, J. F. (2009). Play and digital media. Computers in the Schools, 26(4), 284–289.
Kelly, G., Dockrell, S., & Galvin, R. (2009). Computer use in school: Its effect on posture and
discomfort in schoolchildren. Work, 32(3), 321–328.
King, A. L. S., Valença, A. M., Silva, A. C., Sancassiani, F., Machado, S., & Nardi, A. E. (2014).
“Nomophobia”: Impact of cell phone use interfering with symptoms and emotions of individuals
with panic disorder compared with a control group. Clinical Practice and Epidemiology in
Mental Health, 10, 28–35.
Kutner, L., & Olson, C. (2008). Grand theft childhood: The surprising truth about violent video
games and what parents can do. New York, NY: Simon and Schuster.
ADDICTA: THE TURKISH JOURNAL ON ADDICTIONS
20
Laurson, K. R., Eisenmann, J. C., Welk, G. J., Wickel, E. E., Gentile, D. A., & Walsh, D. A. (2008).
Combined inuence of physical activity and screen time recommendations on childhood
overweight. The Journal of Pediatrics, 153(2), 209–214.
Levenson, J. C., Shensa, A., Sidani, J. E., Colditz, J. B., & Primack, B. A. (2016). The association between
social media use and sleep disturbance among young adults. Preventive Medicine, 85, 36–41.
Li, S., Jin, X., Wu, S., Jiang, F., Yan, C., & Shen, X. (2007). The impact of media use on sleep
patterns and sleep disorders among school-aged children in China. Sleep, 30(3), 361–367.
Linebarger, D. L., & Piotrowski, J. T. (2009). TV as storyteller: How exposure to television
narratives impacts at–risk preschoolers’ story knowledge and narrative skills. British Journal of
Developmental Psychology, 27(1), 47–69.
Mistry, K. B., Minkovitz, C. S., Strobino, D. M., & Borzekowski, D. L. (2007). Children’s television
exposure and behavioral and social outcomes at 5.5 years: Does timing of exposure matter.
Journal ofthe American Academy of Pediatrics, 120(4), 762–769.
Mitchell, J., Pate, R., Beets, M., & Nader, P. (2013). Time spent in sedentary behavior and changes
in childhood BMI: A longitudinal study from ages 9 to 15 years. International Journal of
Obesity, 37(1), 54–60.
Morahan-Martin, J. (2005). Internet abuse: Addiction? Disorder? Symptom? Alternative
explanations. Social Science Computer Review, 23(1), 39–48.
Nathanson, A. I., Sharp, M. L., Aladé, F., Rasmussen, E. E., & Christy, K. (2013). The relation
between television exposure and theory of mind among preschoolers. Journal of Communication,
63(6), 1088–1108.
Oates, S., Evans, G., & Hedge, A. (1998). A preliminary ergonomic and postural assessment of computer
work settings in American Elementary Schools. Computers in the Schools, 14(3), 4–12.
Pagani, L. S., Fitzpatrick, C., Barnett, T. A., & Dubow, E. (2010). Prospective associations between
early childhood television exposure and academic, psychosocial, and physical well-being by
middle childhood. Archives of Pediatrics & Adolescent Medicine, 164(5), 425–431.
Pala, F. K., Pala, F. K. & Erdem, M. (2015). Dijital oyun tercihi ve oyun tercih nedeni ile cinsiyet,
sınıf düzeyi ve öğrenme stili arasındaki ilişkiler üzerine bir çalışma. Ahi Evran Üniversitesi
Kırşehir Eğitim Fakültesi Dergisi, 12(2), 53–71.
Palmer, S. (2015). Toxic childhood: How the modern world is damaging our children and what we
can do about it. Los Angeles, CA: Orion.
Pearson, N., & Biddle, S. J. (2011). Sedentary behavior and dietary intake in children, adolescents,
and adults: A systematic review. American Journal of Preventive Medicine, 41(2), 178–188.
Plowman, L., McPake, J., & Stephen, C. (2010). The technologisation of childhood? Young children
and technology in the home. Children & Society, 24(1), 63–74.
Provenzo, J. E. (1992). What do video games teach. Education Digest, 58(4), 56–58.
Rideout, V., Saphir, M., Tsang, V., & Bozdech, B. (2011). Zero to eight children’s media use in
America. San Francisco, CA: Common Sense Media.
Rideout, V. J., Vandewater, E. A., & Wartella, E. A. (2003). Zero to six: Electronic media in the
lives of infants, toddlers and preschoolers. California, CA: Henry J Kaiser Family Foundation.
Rosen, L. D., Lim, A., Felt, J., Carrier, L. M., Cheever, N. A., Lara-Ruiz, J., & Rokkum, J. (2014). Media
and technology use predicts ill-being among children, preteens and teenagers independent of the
negative health impacts of exercise and eating habits. Computers in Human Behavior, 35, 364–375.
Mustafaoğlu, Zirek, Yasacı, Razak Özdinçler / The Negative Effects of Digital Technology Usage on Children’s Development...
21
Sandercock, G. R., Ogunleye, A., & Voss, C. (2012). Screen time and physical activity in youth:
Thief of time or lifestyle choice? Journal of Physical Activity and Health, 9(7), 977–984.
Sevi, O. M., Odabaşıoğlu, G., Genç, Y., Soykal, İ. & Öztürk, Ö. (2014). Cep telefonu envanteri:
Standardizasyonu ve kişilik özellikleriyle ilişkisinin incelenmesi. Bağımlılık Dergisi, 15(1), 15–22.
Sevindik, T. (2011). Determining the attitudes of the preservice teachers about distance education
applications. Energy Education Science and Technology Part B-Social and Educational Studies,
3(4), 527–534.
Sisson, S. B., Broyles, S. T., Baker, B. L., & Katzmarzyk, P. T. (2010). Screen time, physical
activity, and overweight in US youth: National Survey of Children’s Health 2003. Journal of
Adolescent Health, 47(3), 309–311.
Straker, L. M., Coleman, J., Skoss, R., Maslen, B. A., Burgess-Limerick, R., & Pollock, C. M.
(2008). A comparison of posture and muscle activity during tablet computer, desktop computer
and paper use by young children. Ergonomics, 51(4), 540–555.
Strasburger, V. C., Jordan, A. B., & Donnerstein, E. (2010). Health effects of media on children and
adolescents. Journal of the American Academy of Pediatrics, 125(4), 756–767.
Toran, M., Ulusoy, Z., Aydın, B., Deveci, T. & Akbulut, A. (2016). Çocukların dijital oyun kullanımına
ilişkin annelerin görüşlerinin değerlendirilmesi. Kastamonu Eğitim Dergisi, 24(5), 22–63.
Tuncer, A., & Yalçın, S. (1999). Multimedia and children in Turkey. Journal ofthe American
Academy of Pediatrics, 41, 27–34.
Tüzün, Ü. (2002). Gelişen iletişim araçlarının çocuk ve gençlerin etkileşimi üzerine etkisi. Düşünen
Adam, 15(1), 46–50.
Van den Bulck, J., & Van Mierlo, J. (2004). Energy intake associated with television viewing in
adolescents: A cross sectional study. Appetite, 43(2), 181–184.
Vandewater, E. A., Rideout, V. J., Wartella, E. A., Huang, X., Lee, J. H., & Shim, M.-S. (2007).
Digital childhood: Electronic media and technology use among infants, toddlers, and
preschoolers. Journal ofthe American Academy of Pediatrics, 119(5), 1006–1015.
Vijakkhana, N., Wilaisakditipakorn, T., Ruedeekhajorn, K., Pruksananonda, C., & Chonchaiya, W.
(2015). Evening media exposure reduces night–time sleep. ActaPaediatrica, 104(3), 306–312.
Wen, L. M., Baur, L. A., Rissel, C., Xu, H., & Simpson, J. M. (2014). Correlates of body mass index
and overweight and obesity of children aged 2 years: Findings from the healthy beginnings trial.
Obesity a Research Journal, 22(7), 1723–1730.
Wethington, H., Pan, L., & Sherry, B. (2013). The Association of screen time, television in the
bedroom, and obesity among school–aged youth: 2007 National Survey of Children’s Health.
Journal of School Health, 83(8), 573–581.
Yavuzer, H. (2003). Çocuğu tanımak ve anlamak. İstanbul: Remzi Kitabevi.
Yen, C.-F., Tang, T.-C., Yen, J.-Y., Lin, H.-C., Huang, C.-F., Liu, S.-C., & Ko, C.-H. (2009).
Symptoms of problematic cellular phone use, functional impairment and its association with
depression among adolescents in Southern Taiwan. Journal of Adolescence, 32(4), 863–873.
Yüzer, T. V. (2006). Günlük yaşamda internet ve medya ilişkileri. Selçuk Üniversitesi İletişim
Fakültesi Akademik Dergisi, 4(2), 86–96.
Zimmerman, F. J., & Christakis, D. A. (2007). Associations between content types of early media
exposure and subsequent attentional problems. Journal of the American Academy of Pediatrics,
120(5), 986–992.
... Young children learn best through observation of their environment. This is due to the fact that interactions with their caregivers help them cultivate a curiosity that aids in the development of intelligence, empathy, and listening skills [12]. ...
... According to the World Health Organization (WHO), the developing child needs at least one hour per day of moderate to vigorous intensity physical activity. The benefit is higher if the daily activity exceeds 60 min [12]. ...
Article
Full-text available
Digital technologies are being used widely by children and increased rapidly over the past decade. Digital Technology in all its forms (such as computers, smartphone, video games, and the interne) can hold a person’s attention for long periods. It seems that can negatively affect on eye, sleep, critical thinking, physical activity, musculoskeletal impacts for people of any age, children and adolescents is especially vulnerable. Children's incorrect use of technology in terms of content, duration, frequency, and posture when using it can lead to a number of health risks. The objective of this paper is an overview of negative effect of digital technology on children's health. And in order to achieve our goal, we addressed the following questions: Does overuse of digital technology have a negative effect on children health? Does using digital technology can make children’s developmental problems, musculoskeletal problems, physical inactivity, obesity, and inadequate sleep quality? It is great to monitor the time, frequency, and content viewed while using technological devices and to certify that children have or develop adequate physical activity opportunities, healthy eating habits, proper sleep cycles, and a nurturing social environment. This study is based on qualitative research methods, using literature review by a specific keywords and search items, in order to obtain as many relevant papers as possible. All collected papers are used to recognize and develop a paper based on the research questions. This research includes articles published between 2015 and 2023, articles published prior to 2015 are not included.
... Children that utilize modern technology extremely end up killing time. The impact that these technologies have on children's cognitive and emotional development should also be taken into deliberation (Mustafaoglu et al., 2018). Children who use mobile phones face several health risks. ...
Article
Full-text available
The use of mobile phones among children has major effects on their health. Excessive and unrestricted use of mobile phones can contribute to various physical and psychological problems. Physically, children who spend excessive time on their phones often lead sedentary lifestyles, which can result in weight gain, obesity, and related health issues. Additionally, poor posture while using mobile phones can lead to musculoskeletal problems, causing discomfort and pain in the neck, back, and shoulders. The study objectives were i) to investigate the awareness level among parents regarding the potential health effects of excessive mobile phone use on children, ii) to examine the perception and attitudes of parents towards the use of children's mobile phones and its adverse effects on children's health as well as study the factors influencing parents decision regarding use of children mobile phone, and iii) to explore the knowledge gap among parents regarding the recommended guidelines for managing children's mobile phone usage. For this study, 280 parents were selected as respondents through a multistage sampling technique. At the first stage, 4 urban union councils (UC # 7 "Block–H", UC # 9 "Block–5", UC # 12 "Khayaban–e–Sarwar", and UC # 16 "Model Town") out of a total of 7 union councils were chosen using a simple random sampling method. At the second stage, 8 localities (two from each union council) were selected through a simple random sampling procedure. At third stage, 35 parents (as respondents) were selected from each locality using a purposive sampling technique. The results indicated that majority of parents (60.7%) were female , were age bunch from 31-40 years (52.5%), said their education was matriculation to upto graduation level (53.6%), were married (98.9%), and having 1–3 children (52.9%) were housewives (48.9%). The results also depicted majority (70.0%) of respondents said their household monthly income was 20,000– upto 50,000 rupees, parents' replied upto 6 hours spent their children to use mobile phone in a day (68.9%), parents sometimes allowed their children to use mobile phone in free time (77.9%) and sometimes allowed their children to use mobile phone in childhood (68.9%). Data regarding various purpose their children use mobile phone i.e. majority (71.4%) of the respondents said that children often use mobile phone for playing games; movies (47.9%); cartoons (55.0%); DIY crafts (49.6%); animated stories (54.3%); motivational content (49.3%); and educational Apps (48.9%). The results indicated that majority of parents (83.9%) were agreed that excessive mobile phone utilization cause neurological (mental health) issues in youngsters', mobile phone helped their child to stay organized (80.0%), mobile phone use likely obstruction with parent-kid association (78.2%) and empowering age-fitting substance and applications for youngsters deal with kids' cell phone utilization (85.3%). The bivariate analysis hypothesis showed that more hours spend by children on mobile phone in a day had significant relationship between more the risk of neurological (brain development) problems (χ2 = 33.882, p < .006). More hours spend by children on mobile phone in a day had significant correlation between more the potential interference with parent-child interaction (χ2 = 30.376, p < .016). Parents more allow to use mobile phone children's in free time had significant association between lower the children stay organized (χ2 = 21.748, p < .005). Parents more allow to use mobile phone children's in childhood had highly significant relationship between lower encourage age-appropriate content and apps to manage children's mobile phone usage (χ2 = 25.726, p < .001). The study was suggested that parents should be monitoring apps and games children download manage children’s mobile phone usage.
... The display technology changed from the bulky size, fixed setting, to small and portable (Vaidya et al., 2018). Increasing electronic usage raises public concern about the long-term effect on health (Hale L, 2015;Linda Harasim, 2000;Mustafaoğlu, Zirek, Yasacı, & Razak Özdinçler, 2018;Ostrin, 2019;Sheppard & Wolffsohn, 2018;Small et al., 2020). Many studies have concluded the negative impact of excessive exposure to the Internet and electronic technology on physical, mental, and social health. ...
Article
Excessive exposure to digital technology has been linked to adverse physical, social, and mental health. Questions have been raised about the impact of electronic devices with a drastic shift to online learning in education. This article aimed to investigate the impact of digital technology in the education setting using a mixed-method approach: laboratory-based exploration and an online survey. First, we compared the illumination profile of the screen display in comparison to traditional hardcopy materials. The luminance and spectrum profiles of smartphones and laptops were studied using the 2D Color Analyzer CA-2500 and illuminance spectrophotometer CL-500A. Second, we surveyed the digital usage profile of university students from six different universities to gather information on the total hour of daily digital engagement and the incidence of digital eye strain. The surface luminance for smartphone is 94.76 ± 11.46 cd/m2) and laptop (250.28 ± 22.88 cd/m2). The surface luminance of smartphones rises by 7% in comparison to hardcopy surfaces. The surface luminance of laptops upsurges by 203% in comparison to hardcopy surfaces. The digital engagement time of university students is about 12.80 ± 3.47 hours per day. Digital eye strain is approximately 22.15%. Self-luminosity screen displays from electronic devices emitted more luminance compared to the hardcopy materials. The electronic surface has low luminance uniformity compared to the hardcopy surface. University students exhibit high digital usage patterns and are susceptible to digital eye strain. The long-term accumulative effects of the high illuminance profile, digital engagement inclination and uprising digital eye strain from our cross-section study require further investigation.
... Parents can instead focus on setting limits and guidelines for technology use while allowing exploration and learning opportunities. According to (Mustafaoğlu et al., 2018), currently highly PPSDP International Journal of Education Volume 3 (2) (Special Issue) 10-11 July 2024, 94-106 3 rd International Conference on Education Universitas PGRI Palembang (INCoEPP 2024) E-ISSN 2829-5196, P-ISSN 2830 developed technology has had a significant impact on children's play activities; the behaviour of children who like to play games using gadgets is supported by the ease of internet access, which is now very easy for children to obtain. In 2020, Indonesia was reported to be one of the number 5 internet access countries worldwide. ...
Article
Full-text available
The need for small games is still a severe concern for PJOK SD teachers in the Rambang Kapak Tengah subdistrict, considering that the problems faced by students in the current technological era impact the poor quality of students’ motor skills. Small games play a crucial role in physical education as they allow students to develop various skills in a fun and engaging way. These games help improve physical fitness and promote teamwork, communication, and strategic thinking. By incorporating small games into physical education classes, teachers can create a dynamic learning environment that motivates students to participate actively and develop a lifelong love for physical activity. This research aims to determine the development of small games for valid and practical motor skills for Prabumulih City elementary school students. This research is an RnD research with an ADDIE research design. Field trials were conducted on students at SDN 62 in the Rambang Kapak Tengah subdistrict. Data collection was carried out by distributing questionnaires. Data analysis was carried out based on percentage analysis. This research produced ten types of small games for students’ motor skills. These games include the Jaripapat game, the popular game, the Ringkup game, the Lakar game, the lontang game, the Keder game, the Umkap game, the Lekar game, the Lorung game and the Lodeng game.
Chapter
Full-text available
Kronik hastalıklar genel olarak 1 yıl veya daha uzun süre devam eden, tipik olarak sürekli tıbbi müdahale gerektiren ve günlük yaşam aktivitelerini etkileyebilen durumlardır. Dünya genelinde yaygın görülen ve müdahalesi zorunlu hastalıklar olmasında ötürü önemlidir. Kronik hastalıkların yönettiminde bir çok sektörle beraber dijital sektörlerde yer alır. Dijital sağlık teknoloji yapay zekâ ile sağlık hizmetlerinde devrim niteliğinde yeni dönüşümlerin yaşanmasını sağlamıştır. Maliyet ve zaman tasarrufu sağlayarak hem hastaları sağlık hizmeti sağlayıcıları üzerinde yararlı etkisi olmuştur. Tani, tedavi, teşhiş, müdahale kolaylığı ile beraber sağlığa erişiminde ve hasta bakımını ve yaşam kalitesini optimum düzeye taşımıştır.
Chapter
Full-text available
epilepsi hastaları nöbet kontrolü ve geleneksel tıb ile beraber tamamlayıcı tedavi yöntemlerinden beslenme yaklaşımları, psikolojik ve fizyolojik yaklaşımlar, diğer tamamlayıcı yaklaşımlar kullanılmaktadır. Epilepsi yönetiminde ilaç tedavileri ile yanı sıra tamamlayıcı alternatif yaklaşımların bilinmesi hem hemşirelik bakımını süreci hem de hastalığın tedavisi ve açısından oldukça önemlidir. Hastaların tamamlayıcı terapilerin kullanımına ilişkin profesyonel sağlık personellerine yönlendirilmesi, akademisyen ve hastane profesyonellerinin ise, bu konuda kanıta dayalı çalışmalar yapmaları önerilmektedir.
Article
Full-text available
Çocukların oyun tercihlerinde çocukların çevrelerindeki yetişkinlerin rolü olmakla birlikte annelerinin de büyük bir rolü olduğu düşünülmektedir. Bu sebeple çocukların dijital oyunları kullanımına ilişkin annelerin görüşlerinin değerlendirilmesi amaçlanmıştır. Araştırmada nitel araştırma yöntemi kullanılmıştır. Araştırmanın çalışma grubu 5 yaş çocuğa sahip çocukları İstanbul’da özel ve devlete bağlı anaokullarına devam eden araştırmaya gönüllü olarak katılan anneler oluşturmaktadır. Araştırmada veri toplama yöntemi olarak görüşme yöntemi benimsenmiştir. Araştırmada yarı yapılandırılmış görüşme formu kullanılarak annelerle yüz yüze görüşme yapılmıştır. Araştırmanın analizleri sonucu elde edilen bulgulara göre çocukların ilgileri, annelerin kendilerine ya da ev işlerine zaman ayırması, oyun aracı olarak kolaylıklar kullanılması ve özellikle eğlenceli olması dijital oyunların tercih edilme nedenleri arasında görülmektedir.
Article
Full-text available
Article
Full-text available
The purpose of this study was to analyze differences between preadolescents and adolescents on the use of technology and to test the contribution of using Internet and mobile phone, and circadian preference on sleep quality. We recruited a sample of 850 (364 males) preadolescents and adolescents. Self-report questionnaires about sleep schedule, sleep wake behavior problems, circadian preferences, and the use of technology (e.g., Internet and mobile phone) were administered. Students were asked to fill out the School Sleep Habits Survey, a self-report questionnaire on the use of technology, the Mobile Phone Involvement Questionnaire (MPIQ), and the Shorter Promis Questionnaire (SPQ). Adolescents reported more sleep problems, a tendency toward eveningness, and an increase of Internet and phone activities, as well as social network activities, while preadolescents were more involved in gaming console and television viewing. The regression analysis performed separately in the two age groups showed that sleep quality was affected by the circadian preference (eveningness) in both groups. Adolescents' bad sleep quality was consistently associated with the mobile phone use and number of devices in the bedroom, while in preadolescents, with Internet use and turning-off time. The evening circadian preference, mobile phone and Internet use, numbers of other activities after 9:00 p.m., late turning off time, and number of devices in the bedroom have different negative influence on sleep quality in preadolescents and adolescents. Copyright © 2015 American Academy of Sleep Medicine. All rights reserved.
Article
Young children (ages 3 to 5) are using mobile touchscreen technology, including tablet computers, yet little is known on the potential musculoskeletal and physical activity implications of its use. This within-subject laboratory study (n = 10) examined head, trunk and arm postures, upper trapezius muscle activity, and total body and upper limb physical activity during playing with tablets compared to during TV watching and playing with non-screen toys. Overall, this study found that during tablet play children had greater mean head, trunk and upper arm angles compared to both TV watching and toy play. Conversely, compared to toy play, children playing with tablets had lesser trunk, upper arm and elbow postural variation, lesser trapezius activity, more time sitting and lesser physical activity. Thus, to minimize potential musculoskeletal and sedentary risks, non-screen toy play should be encouraged and education and guidelines provided for parents and caretakers to support wise use of tablets.
Article
Today's children and adolescents are immersed in both traditional and new forms of digital media. Research on traditional media, such as television, has identified health concerns and negative outcomes that correlate with the duration and content of viewing. Over the past decade, the use of digital media, including interactive and social media, has grown, and research evidence suggests that these newer media offer both benefits and risks to the health of children and teenagers. Evidence-based benefits identified from the use of digital and social media include early learning, exposure to new ideas and knowledge, increased opportunities for social contact and support, and new opportunities to access health promotion messages and information. Risks of such media include negative health effects on sleep, attention, and learning; a higher incidence of obesity and depression; exposure to inaccurate, inappropriate, or unsafe content and contacts; and compromised privacy and confidentiality. This technical report reviews the literature regarding these opportunities and risks, framed around clinical questions, for children from birth to adulthood. To promote health and wellness in children and adolescents, it is important to maintain adequate physical activity, healthy nutrition, good sleep hygiene, and a nurturing social environment. A healthy Family Media Use Plan (www.healthychildren. org/MediaUsePlan) that is individualized for a specific child, teenager, or family can identify an appropriate balance between screen time/online time and other activities, set boundaries for accessing content, guide displays of personal information, encourage age-appropriate critical thinking and digital literacy, and support open family communication and implementation of consistent rules about media use.
Article
Introduction: Many factors contribute to sleep disturbance among young adults. Social media (SM) use is increasing rapidly, and little is known regarding its association with sleep disturbance. Methods: In 2014 we assessed a nationally-representative sample of 1788U.S. young adults ages 19-32. SM volume and frequency were assessed by self-reported minutes per day spent on SM (volume) and visits per week (frequency) using items adapted from the Pew Internet Research Questionnaire. We assessed sleep disturbance using the brief Patient-Reported Outcomes Measurement Information System (PROMIS®) Sleep Disturbance measure. Analyses performed in Pittsburgh utilized chi-square tests and ordered logistic regression using sample weights in order to estimate effects for the total U.S. Population: Results: In models that adjusted for all sociodemographic covariates, participants with higher SM use volume and frequency had significantly greater odds of having sleep disturbance. For example, compared with those in the lowest quartile of SM use per day, those in the highest quartile had an AOR of 1.95 (95% CI=1.37-2.79) for sleep disturbance. Similarly, compared with those in the lowest quartile of SM use frequency per week, those in the highest quartile had an AOR of 2.92 (95% CI=1.97-4.32) for sleep disturbance. Associations all demonstrated a significant linear trend. Discussion: The strong association between SM use and sleep disturbance has important clinical implications for the health and well-being of young adults. Future work should aim to assess directionality and to better understand the influence of contextual factors associated with SM use.
Article
Distance education progressed with diversified technologies through newspapers, mails, radio, television and lastly, internet, in terms of historical process. As from the 21st century, the development of internet technologies has made distance education an indispensable instrument within the engineering education. Method of the study was configured by the survey technique. The scale, being used, is consisted of 19 questions and the following results were determined: Cronbach's Alpha = .791 and Kaiser Meier Olkin (KMO) = .805. The population is Firat University Faculty of Education and the sample group is consisted of 242 Final Year Students. 59.1% of the students who participated in the study are male and 40.9% of them are female teacher candidates. As a result of the study, it was determined that teacher candidates display a positive attitude towards distance education. The purpose of this study is to determine the views of the Final year students of Faculty of Education related to distance education. The population is consisted of Faculty of Education students in Fi{dotless}rat University, The sample of the study is consisted of Final year students of Faculty of Education in Fi{dotless}rat University. In the study, five point likert type survey was applied. T-test, variance analysis, percentage and frequency processes were used for the statistical analysis.
Article
Unlabelled: Children's computer use is rapidly growing, together with reports of related musculoskeletal outcomes. Models and theories of adult-related risk factors demonstrate multivariate risk factors associated with computer use. Children's use of computers is different from adult's computer use at work. This study developed and tested a child-specific model demonstrating multivariate relationships between musculoskeletal outcomes, computer exposure and child factors. Using pathway modelling, factors such as gender, age, television exposure, computer anxiety, sustained attention (flow), socio-economic status and somatic complaints (headache and stomach pain) were found to have effects on children's reports of musculoskeletal symptoms. The potential for children's computer exposure to follow a dose-response relationship was also evident. Developing a child-related model can assist in understanding risk factors for children's computer use and support the development of recommendations to encourage children to use this valuable resource in educational, recreational and communication environments in a safe and productive manner. Practitioner summary: Computer use is an important part of children's school and home life. Application of this developed model, that encapsulates related risk factors, enables practitioners, researchers, teachers and parents to develop strategies that assist young people to use information technology for school, home and leisure in a safe and productive manner.