2015 Archive

Advertising

• Auger, N., Daniel, M., Knäuper, B., Dourian, T., Raynault, M.-F., 2015. Unintended Messages in Online Advertising to Youth: Illicit Drug Imagery in a Canadian Sports Marketing Campaign. Journal of Adolescent Health 56, 429–432.
• Bernhardt, A.M., et al 2015. Children’s recall of fast food television advertising—Testing the adequacy of food marketing regulation. PLoS ONE 10, e0119300
• Bestman, A., et al, 2015. Children’s implicit recall of junk food, alcohol and gambling sponsorship in Australian sport. BMC Public Health 15, 1022
• Boyland, E.J., Kavanagh-Safran, M., Halford, J.C.G., 2015. Exposure to “healthy” fast food meal bundles in television advertisements promotes liking for fast food but not healthier choices in children. British Journal of Nutrition 113, 1012–1018.
• Boyland, E; Whalen, R.  2015. Food advertising to children and its effects on diet: review of recent prevalence and impact data.  Pediatric Diabetes. Volume 16, Issue 5, pages 331–337
• Castonguay, J. 2015. Portraying physical activity in food advertising targeting children. Health Education 115, 534–553
• Chambers, S.A., Freeman, R., Anderson, A.S., MacGillivray, S., 2015. Reducing the volume, exposure and negative impacts of advertising for foods high in fat, sugar and salt to children: A systematic review of the evidence from statutory and self-regulatory actions and educational measures. Preventive Medicine 75, 32–43.
• Devika Vashisht, Sreejesh S., 2015. Impact of nature of advergames on brand recall and brand attitude among young Indian gamers: moderating roles of game-product congruence and persuasion knowledge. Young Consumers 16, 454–467
• Elliott, C., 2015. “Big Food” and “gamified” products: promotion, packaging, and the promise of fun. Critical Public Health 25, 348–360.
• Emond, J.A., Smith, M.E., Mathur, S.J., Sargent, J.D., Gilbert-Diamond, D., 2015. Children’s food and beverage promotion on television to parents. Pediatrics peds.2015–2853.
• Emond, J.A., et al 2015. Patterns of energy drink advertising over US television networks. Journal of Nutrition Education and Behavior 47, 120–126.e1.
• Grimes, S.M., 2015. Playing by the market rules: Promotional priorities and commercialization in children’s virtual worlds. Journal of Consumer Culture 15, 110–134
• Harris, J.L., LoDolce, M., Dembek, C., Schwartz, M.B., 2015. Sweet promises: Candy advertising to children and implications for industry self-regulation. Appetite 95, 585–592.
• Harris, J.L., LoDolce, M.E., Schwartz, M.B., 2015. Encouraging big food to do the right thing for children’s health: a case study on using research to improve marketing of sugary cereals. Critical Public Health 25, 320–332.
• Hellemans, L; et al 2015. Playing hide-and-seek? A legal perspective on the complex distinction between commercial and editorial content in hybrid advertising formats. INFO 17, 19–34.
• Heller, R., et al, 2015. Fruit-related terms and images on food packages and advertisements affect children’s perceptions of foods’ fruit content. Public Health Nutrition 18, 2722–2728
• Lapierre, M.A., 2015. Development and persuasion understanding: Predicting knowledge of persuasion/selling intent from children’s Theory of Mind. J Commun 65, 423–442.
• Lioutas, E.D., Tzimitra-Kalogianni, I., 2015. “I saw Santa drinking soda!” Advertising and children’s food preferences. Child Care Health Dev 41, 424–433.
• Lobstein, T., et al. Child and adolescent obesity: part of a bigger picture. The Lancet.
• Kraak, V.I., Story, M., 2015. Influence of food companies’ brand mascots and entertainment companies’ cartoon media characters on children’s diet and health: a systematic review and research needs. Obes Rev 16, 107–126.
• Lull, R.B., Bushman, B.J., 2015. Do sex and violence sell? A meta-analytic review of the effects of sexual and violent media and ad content on memory, attitudes, and buying intentions. Psychological Bulletin 141, 1022–1048.
• Macniven, R., Kelly, B., King, L., 2015. Unhealthy product sponsorship of Australian national and state sports organisations. Health Promot J Austr 26, 52–56.
• Matthes, J., Naderer, B., 2015. Children’s consumption behavior in response to food product placements in movies. J. Consumer Behav. 14, 127–136
• O’Brien, K.S., et al  2015. Alcohol advertising in sport and non-sport TV in Australia, during children’s viewing times. PLoS ONE 10, e0134889
• Ohri-Vachaspati, P., Isgor, Z., Rimkus, L., Powell, L.M., Barker, D.C., Chaloupka, F.J., n.d. Child-Directed Marketing Inside and on the Exterior of Fast Food Restaurants. American Journal of Preventive Medicine.
• Sonntag, D., et al, 2015. Beyond food promotion: a systematic review on the influence of the food industry on obesity-related dietary behaviour among children. Nutrients 7, 8565–8576
• Tanski SE, McClure AC, Li Z, et al, 2015. Cued recall of alcohol advertising on television and underage drinking behavior. JAMA Pediatr 169, 264–271.
• Turner, L., et al 2015. Measuring food brand awareness in Australian children: Development and validation of a new instrument. PLoS ONE 10, e0133972.
• Uribe, R., Fuentes-García, A., 2015. The effects of TV unhealthy food brand placement on children. Its separate and joint effect with advertising. Appetite 91, 165–172.
• Wellard, L., et al, 2015. Investigating fruit and vegetable claims on Australian food packages. Public Health Nutrition 18, 2729–2735

Children's understanding of media content

• Bonus, J.A., Mares, M.-L., 2015. Learned and remembered but rejected preschoolers’ reality judgments and transfer from Sesame Street. Communication Research 0093650215609980.
• Cristia, A; Seidl, A 2015 Parental reports on touch screen use in early childhood PLOS ONE  Volume: 10   Issue: 6     Article Number: e0128338  
• Deursen, A.J.A.M. van, Görzig, A., Delzen, M. van, Perik, H.T.M., Stegeman, A.G., 2014. Primary school children’s Internet skills: A report on performance tests of operational, formal, information, and strategic Internet skills. International Journal of Communication 8, 23.
• Dezuanni, M et al (2015) ‘Redstone is like electricity’: Children’s performative representations in and around Minecraft. E-Learning and Digital Media. Vol. 12(2) 147–163
• Goldstein, T.R., Bloom, P., 2015. Characterizing characters: How children make sense of realistic acting. Cognitive Development, SI Cognizing the Unreal 34, 39–50.
• Grimes, S.M., 2015. Configuring the Child Player. Science Technology Human Values 40, 126–148.
• Kampf, Z., Hamo, M., 2015. Children talking television: The salience and functions of media content in child peer interactions. DISCOURSE & COMMUNICATION 9, 465–485
• Moser, A., Zimmermann, L., Dickerson, K., Grenell, A., Barr, R., Gerhardstein, P., 2015. They can interact, but can they learn? Toddlers’ transfer learning from touchscreens and television. Journal of Experimental Child Psychology 137, 137–155
• Noorhidawati, A., Ghalebandi, S.G., Siti Hajar, R., 2015. How do young children engage with mobile apps? Cognitive, psychomotor, and affective perspective. Computers & Education 87, 385–395.
• Price, S., Jewitt, C., Crescenzi, L., 2015. The role of iPads in pre-school children’s mark making development. Computers & Education 87, 131–141
• Richards, M.N., Calvert, S.L., 2015. Toddlers’ judgments of media character source credibility on touchscreens. American Behavioral Scientist 59, 1755–1775
• Stamou, A.G., Maroniti, K., Griva, E., 2015. Young children talk about their popular cartoon and TV heroes’ speech styles: media reception and language attitudes. Language Awareness 24, 216–232.
• Vandoninck, S., d’Haenens, L., 2015. Children’s online coping strategies: Rethinking coping typologies in a risk-specific approach. Journal of Adolescence 45, 225–236. doi:10.1016/j.adolescence.2015.10.007
• Vares, T., Jackson, S., 2015. Preteen girls, magazines, and the negotiation of young sexual femininity. Gender and Education 27, 700–713
• Wauters, E., Lievens, E., Valcke, P., 2015. Children as social network actors: A European legal perspective on challenges concerning membership, rights, conduct and liability. Computer Law & Security Review 31, 351–364.
• Wernholm, M., Vigmo, S., 2015. Capturing children’s knowledge-making dialogues in Minecraft. International Journal of Research & Method in Education 38, 230–246.
• Willett, R., 2015. Children’s media-referenced games: The lived culture of consumer texts on a school playground. Child Soc 29, 410–420.
• Zhang, K., Djonov, E., Torr, J., 2015. Reading and reinterpreting picture books on children’s television: Implications for young children’s narrative literacy. Child Lit Educ 47, 129–147

Media content and impacts

• Anderson, C.A., Bushman, B.J., Donnerstein, E., Hummer, T.A., Warburton, W., 2015. SPSSI Research Summary on Media Violence. Analyses of Social Issues and Public Policy 15, 4–19.
• Bannon, S., McGlynn, T., McKenzie, K., Quayle, E., 2015. The positive role of Internet use for young people with additional support needs: Identity and connectedness. Computers in Human Behavior 53, 504–514.
• Baranowski, T., 2015. Might video games help remedy childhood obesity? Childhood Obesity 11, 331–334.
• Baranowski, T., et al,  2015. Games for health for children - Current status and needed research. Games for Health Journal 5, 1–12.
• Blackman, K.C.A., et al, 2015. Examining the feasibility of smartphone game applications for physical activity promotion in middle school students. Games for Health Journal 4, 409–419.
• Boxer, P., Groves, C.L., Docherty, M., 2015. Video games do indeed influence children and adolescents’ aggression, prosocial behavior, and academic performance a clearer reading of Ferguson (2015). Perspectives on Psychological Science 10, 671–673.
• Braendle, G. et al (2015) Violent audiovisual content and social consequences: The moderating role of aggression in adolescents. COMMUNICATIONS-EUROPEAN JOURNAL OF COMMUNICATION RESEARCH  Volume: 40   Issue: 2   Pages: 199-218
• Braun, B., et al, Personality and video gaming: Comparing regular gamers, non-gamers, and gaming addicts and differentiating between game genres. Computers in Human Behavior 55, Part A, 406–412.
• Breuer, J., et al, 2015. Sexist games=sexist gamers? A longitudinal study on the relationship between video game use and sexist attitudes. Cyberpsychology, Behavior, and Social Networking 18, 197–202.
• Brockmyer, J.F., 2015. Playing violent video games and desensitization to violence. Child and Adolescent Psychiatric Clinics of North America, Top Topics in Child and Adolescent Psychiatry 24, 65–77
• Bushman, B.J., Anderson, C.A., 2015. Understanding Causality in the Effects of Media Violence. American Behavioral Scientist 59, 1807–1821.
• Bushman, B.J., Gollwitzer, M., Cruz, C., 2015. There is broad consensus: Media researchers agree that violent media increase aggression in children, and pediatricians and parents concur. Psychology of Popular Media Culture 4, 200–214.
• Byeon, H., Hong, S., 2015. Relationship between Television Viewing and Language Delay in Toddlers: Evidence from a Korea National Cross-Sectional Survey. PLoS ONE 10, e0120663.
• Coker, T.R. et al, 2015. Media Violence Exposure and Physical Aggression in Fifth-Grade Children. Academic Pediatrics 15, 82–88.
• Collinson, L et al (2015) Portrayal of violence, weapons, antisocial behaviour and alcohol: study of televised music videos in New Zealand. The New Zealand Medical Journal Volume 128, Number 1410.
• Coyne, S.M., Padilla-Walker, L.M., 2015. Sex, violence, & rock n’ roll: Longitudinal effects of music on aggression, sex, and prosocial behavior during adolescence. Journal of Adolescence 41, 96–104.
• Crowley, S.J., et al, 2015. Increased sensitivity of the circadian system to light in early/mid puberty.    The Journal of Clinical Endocrinology & Metabolism jc.2015–2775.
• Dickey, M.D., 2015. K-12 teachers encounter digital games: a qualitative investigation of teachers’ perceptions of the potential of digital games for K-12 education. Interactive Learning Environments 23, 485–495.
• Den Hamer, A.H., Konijn, E.A., 2015. Adolescents’ media exposure may increase their cyberbullying behavior: A longitudinal study. Journal of Adolescent Health 56, 203–208.
• Dutra, G.F., et al, 2015. Television viewing habits and their influence on physical activity and childhood overweight. Jornal de Pediatria 91, 346–351
• Eisenberg, M; et al. Snacking on television: A content analysis of adolescents' favorite shows Preventing chronic disease Volume: 13   Pages: E66   
• Engelhardt, C.R., Hilgard, J., Bartholow, B.D., 2015. Acute exposure to difficult (but not violent) video games dysregulates cognitive control. Computers in Human Behavior 45, 85–92.
• Exelmans, L., Custers, K., Van den Bulck, J., 2015. Violent video games and delinquent behavior in adolescents: A risk factor perspective. Aggr. Behav. 41, 267–279.
• Ferguson, C.J., 2015. Do Angry Birds make for angry children? A meta-analysis of video game influences on children’s and adolescents’ aggression, mental health, prosocial behavior, and academic performance. Perspectives on Psychological Science 10, 646–666.
• Fikkers, K.M., et al, 2015. The role of perceived peer norms in the relationship between media violence exposure and adolescents’ aggression. Media Psychology 1–23.
• Gao, Z., et al, 2015. A meta-analysis of active video games on health outcomes among children and adolescents. Obes Rev 16, 783–794.
• Gentile, D.A., 2015. What is a good skeptic to do? The case for skepticism in the media violence discussion. Perspectives on Psychological Science 10, 674–676.
• Hamm MP, Newton AS, Chisholm A, et al, 2015. Prevalence and effect of cyberbullying on children and young people: A scoping review of social media studies.   JAMA Pediatr.
• Hulteen, R.M., et al, 2015. Children’s movement skills when playing active video games. Perceptual and Motor Skills 121, 767–790.
• Hummer, T.A., 2015. Media violence effects on brain development What neuroimaging has revealed and what lies ahead. American Behavioral Scientist 59, 1790–1806.
• Kowert, R., et al 2015. Psychosocial causes and consequences of online video game play. Computers in Human Behavior 45, 51–58.
• Lavigne, H.J., et al 2015. The influence of television coviewing on parent language directed at toddlers. Journal of Applied Developmental Psychology 36, 1–10.
• Lillard, A.S., Drell, M.B., Richey, E.M., Boguszewski, K., Smith, E.D., 2015. Further examination of the immediate impact of television on children’s executive function. Developmental Psychology 51, 792–805.
• Maras, D., et al 2015. Screen time is associated with depression and anxiety in Canadian youth. Preventive Medicine 73, 133–138.
• Mares, M.-L., Sivakumar, G., Stephenson, L., 2015. From meta to micro: Examining the effectiveness of educational TV. American Behavioral Scientist 59, 1822–1846
• Matthews, Nicholas L.(2015) Too good to care: The effect of skill on hostility and aggression following violent video game play COMPUTERS IN HUMAN BEHAVIOR  Volume: 48   Pages: 219-225
• Merritt, A., et al, 2015. Media managing mood: a look at the possible effects of violent media on affect. Child Youth Care Forum 45, 241–258.
• Nakamuro, M., Inuet al, 2015. Are television and video games really harmful for kids? Contemporary Economic Policy 33, 29–43
• Padilla-Walker, L.M., et al, 2015. Longitudinal relations between prosocial television content and adolescents’ prosocial and aggressive behavior: The mediating role of empathic concern and self-regulation. Developmental Psychology 51, 1317–1328.
• Pagani, L., et al, 2015. The impact of digital skills on educational outcomes: evidence from performance tests (SSRN Scholarly Paper No. ID 2635471). Social Science Research Network, Rochester, NY.
• Piotrowski, J.T.; Valkenburg, P.M. (2015) Finding orchids in a field of dandelions:  Understanding children’s differential susceptibility to media effects. American Behavioral Scientist, 59, 1776-1789
• Przybylski, A.K., Mishkin, A.F., 2015. How the quantity and quality of electronic gaming relates to adolescents’ academic engagement and psychosocial adjustment Psychology of Popular Media Culture , March
• Rasul, A., 2015. Violently entertained: A meta-analysis of the effects of mediated violence on enjoyment. Journal of Creative Communications 10, 1–20.
• Rich, M., Bickham, D.S., Shrier, L.A., 2015. Measuring youth media exposure a multimodal method for investigating the influence of media on digital natives. American Behavioral Scientist 59, 1736–1754.
• Richards, D., Caldwell, P.H., Go, H., 2015. Impact of social media on the health of children and young people. J Paediatr Child Health 51, 1152–1157.
• Riwinoto, Prasetyaningsih, S., Miranto, C., 2015. The estimation of cartoons effect on children’s behavior based on exaggeration action by using neural network, in: 2015 International Conference on Information Technology Systems and Innovation (ICITSI). Presented at the 2015 International Conference on Information Technology Systems and Innovation (ICITSI), pp. 1–5.
• Rothmund, T., Gollwitzer, M., Bender, J., Klimmt, C., 2015. Short- and Long-Term Effects of Video Game Violence on Interpersonal Trust. Media Psychology 18, 106–133.
• Sampasa-Kanyinga, H., Lewis, R.F., 2015. Frequent use of social networking sites is associated with poor psychological functioning among children and adolescents. Cyberpsychology, Behavior, and Social Networking 18, 380–385.
• Sauer, J.D., Drummond, A., Nova, N., 2015. Violent video games: The effects of narrative context and reward structure on in-game and postgame aggression. Journal of Experimental Psychology: Applied 21, 205–214.
• Slater, A., Tiggemann, M., 2015. Media exposure, extracurricular activities, and appearance-related comments as predictors of female adolescents’ self-objectification. Psychology of Women Quarterly 39, 375–389
• Stone, E.A., Brown, C.S., Jewell, J.A., 2015. The sexualized girl: A within-gender stereotype among elementary school children. Child Dev 86, 1604–1622. doi:10.1111/cdev.12405
• Valkenburg, P.M., 2015. The limited informativeness of meta-analyses of media effects. Perspectives on Psychological Science 10, 680–682.
• van Oosten, J.M.F., Peter, J., Valkenburg, P.M., 2015. The influence of sexual music videos on adolescents’ misogynistic beliefs: The role of video content, gender, and affective engagement. Communication Research 42, 986–1008.
• Vandenbosch, L., 2015. Antecedents of adolescents’ exposure to different types of sexually explicit Internet material: A longitudinal study. Computers in Human Behavior 50, 439–448.
• Vernadakis, N., Papastergiou, M., Zetou, E., Antoniou, P., 2015. The impact of an exergame-based intervention on children’s fundamental motor skills. Computers & Education 83, 90–102.
• Vries, D.A. de, et al, 2015. Adolescents’ social network site use, peer appearance-related feedback, and body dissatisfaction: testing a mediation model. J Youth Adolescence 45, 211–224.
• Waylen, A.,et al 2015. Alcohol use in films and adolescent alcohol use. Pediatrics peds.2014–2978.
• Wiedeman, A.M., et al, 2015. Factors influencing the impact of aggressive and violent media on children and adolescents. Aggression and Violent Behavior 25, Part A, 191–198
• Zumbach, J., Seitz, C., Bluemke, M., 2015. Impact of violent video game realism on the self-concept of aggressiveness assessed with explicit and implicit measures. Computers in Human Behavior 53, 278–288

Media usage

• Ahearne, C., et al, 2015. Touch-screen technology usage in toddlers. Arch Dis Child archdischild–2015–309278
• Allen, M.S., Vella, S.A., Laborde, S., 2015. Sport participation, screen time, and personality trait development during childhood. Br J Dev Psychol 33, 375–390
• Allen, M.S., Vella, S.A., 2015. Screen-based sedentary behaviour and psychosocial well-being in childhood: Cross-sectional and longitudinal associations. Mental Health and Physical Activity 9, 41–47.
  Bannon, S., et al, 2015. The positive role of Internet use for young people with additional support needs: Identity and connectedness. Computers in Human Behavior 53, 504–514.
  Barbovschi Monica, Machácková Hana, and Ólafsson Kjartan. Underage use of social network sites: It's about friends. Cyberpsychology, Behavior, and Social Networking. June 2015, 18(6): 328-332.
• Bickham, D.S., Hswen, Y., Rich, M., 2015. Media use and depression: exposure, household rules, and symptoms among young adolescents in the USA. Int J Public Health 60, 147–155.
• Blankson, A.N., O’Brien, M., Leerkes, E.M., Calkins, S.D., Marcovitch, S., 2015. Do hours spent viewing television at ages 3 and 4 predict vocabulary and executive functioning at age 5? Merrill-Palmer Quarterly 61, 264–289.
• Blaya, C., Fartoukh, M., 2015. Digital uses, victimization and online aggression: A comparative study between primary school and lower secondary school students in France. Eur J Crim Policy Res 22, 285–300.
• Boernhorst, C et al. 2015. WHO European Childhood Obesity Surveillance Initiative: associations between sleep duration, screen time and food consumption frequencies. BMC Public Health 15, 442.
• Bruni, O., et al 2015. Technology use and sleep quality in preadolescence and adolescence. Journal of Clinical Sleep Medicine 11, 1433–1441
• Busschaert, C. et al 2015. Tracking and predictors of screen time from early adolescence to early adulthood: A 10-year follow-up study. Journal of Adolescent Health 56, 440–448.
• Carson, V., et al 2015. Systematic review of sedentary behavior and cognitive development in early childhood. Preventive Medicine 78, 115–122
• Chonchaiya, W., et al 2015. Elevated background TV exposure over time increases behavioural scores of 18-month-old toddlers. Acta Paediatr 104, 1039–1046
• Cote-Lussier, C et al. 2015. Poor, unsafe, and overweight: The role of feeling unsafe at school in mediating the association among poverty exposure, youth screen time, physical activity, and weight status AMERICAN JOURNAL OF EPIDEMIOLOGY  Volume: 182   Issue: 1   Pages: 67-79
• De Moraes, A.C.F. et al 2015. Incidence of high blood pressure in children — Effects of physical activity and sedentary behaviors: The IDEFICS study. International Journal of Cardiology 180, 165–170.
• Den Hamer, A.H., Konijn, E.A., 2015. Adolescents’ media exposure may increase their cyberbullying behavior: A longitudinal study. Journal of Adolescent Health 56, 203–208.
• Dutra, G.F., Kaufmann, C.C., Pretto, A.D.B., Albernaz, E.P., 2015. Television viewing habits and their influence on physical activity and childhood overweight. Jornal de Pediatria 91, 346–351
• Ebbeck, M., et al 2015. Singaporean Parents’ Views of Their Young Children’s Access and Use of Technological Devices. Early Childhood Educ J 44, 127–134.
  Edwards, M.J. et al. 2015. The influence of friends and siblings on the physical activity and screen viewing behaviours of children aged 5–6 years: a qualitative analysis of parent interviews. BMJ Open 5, e006593.
  Engelen,L et al (2015) Young children's after-school activities - There's more to it than screen time: A cross-sectional study of young primary school children. Journal of Physical Activity & Health 12(1):8-12
• Falbe, J., et al  2015. Sleep duration, restfulness, and screens in the sleep environment. Pediatrics peds.2014–2306.
• Ferrari, G.L. de M., et al, 2015. Association between electronic equipment in the bedroom and sedentary lifestyle, physical activity, and body mass index of children. Jornal de Pediatria 91, 574–582.
• Ferreira, E., Ponte, C., Silva, M.J., Azevedo, C., 2015. Mind the gap: Digital practices and school. International Journal of Digital Literacy and Digital Competence 6, 16–32.
• Forde, C., Hussey, J., 2015. How Children Use Active Videogames and the Association Between Screen Time and Physical Activity. Games for Health Journal 4, 312–317.
• Franckle, R.L., et al 2015. Insufficient sleep among elementary and middle school students is linked with elevated soda consumption and other unhealthy dietary behaviors. Preventive Medicine 74, 36–41.
• Grimes, S.M., 2015. Configuring the Child Player. Science Technology Human Values 40, 126–148.
• Grøntved, A., et al 2015. A prospective study of screen time in adolescence and depression symptoms in young adulthood. Preventive Medicine 81, 108–113
• Hale, L., Guan, S., 2015. Screen time and sleep among school-aged children and adolescents: A systematic literature review. Sleep Medicine Reviews 21, 50–58.
• Hartmann, T., Möller, I., Krause, C., 2015. Factors underlying male and female use of violent video games. New Media Society 17, 1777–1794.
• Hassoun, D., 2015. “All over the place”: A case study of classroom multitasking and attentional performance. New Media Society 17, 1680–1695
• Houghton, S., et al 2015. Virtually impossible: limiting Australian children and adolescents daily screen based media use. BMC Public Health 15, 5.
• Jackson, S., Goddard, S., 2015. “I”d say 14 is too young’: Pre-teen girls’ negotiations of “sexualized” media. Continuum 29, 241–252.
• Kabali, H.K., et al, 2015. Exposure and Use of Mobile Media Devices by Young Children. Pediatrics 136, 1044–1050.
• Lauricella, A.R., Wartella, E., Rideout, V.J., 2015. Young children’s screen time: The complex role of parent and child factors. Journal of Applied Developmental Psychology 36, 11–17.
• Laurson, K.R., Lee, J.A., Eisenmann, J.C., 2015. The Cumulative Impact of Physical Activity, Sleep Duration, and Television Time on Adolescent Obesity: 2011 Youth Risk Behavior Survey. Journal of Physical Activity and Health 12, 355–360.
• LeBlanc, A.G et al, ISCOLE Research Group, 2015. Correlates of Total Sedentary Time and Screen Time in 9–11 Year-Old Children around the World: The International Study of Childhood Obesity, Lifestyle and the Environment. PLoS ONE 10, e0129622.
• Lin, L.-Y., et al 2015. Effects of television exposure on developmental skills among young children. Infant Behavior and Development 38, 20–26.
• Maras, D., et al 2015. Screen time is associated with depression and anxiety in Canadian youth. Preventive Medicine 73, 133–138.
• Navsaria, D., Sanders, L.M., 2015. Early literacy promotion in the digital age. Pediatric Clinics of North America, Pediatric Prevention 62, 1273–1295
• Nielsen, R.K.L., 2015. Turning data into people: Player perspectives on game addiction, in: 2015 International Conference on Interactive Technologies and Games. Presented at the 2015 International Conference on Interactive Technologies and Games, pp. 76–83.
• Polos, P.G., et al,2015. The impact of Sleep Time-Related Information and Communication Technology (STRICT) on sleep patterns and daytime functioning in American adolescents. Journal of Adolescence 44, 232–244
• Radesky, J.S., Schumacher, J., Zuckerman, B., 2015. Mobile and interactive media use by young children: The good, the bad, and the unknown. Pediatrics 135
• Robinson, S., Daly, R.M., Ridgers, N.D., Salmon, J., 2015. Screen-based behaviors of children and cardiovascular risk factors. Journal of Pediatrics 167, 1239–1245
• Russell, C.A., Buhrau, D., 2015. The role of television viewing and direct experience in predicting adolescents’ beliefs about the health risks of fast-food consumption. Appetite 92, 200–206.
• Rutherford, L., Brown, J.E., Skouteris, H., Fuller-Tyszkiewicz, M., Bittman, M., 2015. Screen Media, Parenting Practices, and the Family Environment in Australia: A Longitudinal Study of Young Children’s Media Use, Lifestyles, and Outcomes for Healthy Weight. Journal of Children and Media 9, 22–39.
• Sampasa-Kanyinga, H., Lewis, R.F., 2015. Frequent use of social networking sites is associated with poor psychological functioning among children and adolescents. Cyberpsychology, Behavior, and Social Networking 18, 380–385.
• Suziedelyte, A., 2015. The effects of old and new media on children’s weight. Applied Economics 47, 1008–1018.
• Vares, T., Jackson, S., 2015. Preteen girls, magazines, and the negotiation of young sexual femininity. Gender and Education 27, 700–713
• Vries, D.A. de, et al, 2015. Adolescents’ social network site use, peer appearance-related feedback, and body dissatisfaction: testing a mediation model. J Youth Adolescence 45, 211–224.
• Watt, E. et al 2015. Too much television? Prospective associations between early childhood televiewing and later self-reports of victimization by sixth grade classmates Journal of Developmental & Behavioral Pediatrics 36, 426–433

Mitigating media impacts

• Bickham, D.S., Hswen, Y., Rich, M., 2015. Media use and depression: exposure, household rules, and symptoms among young adolescents in the USA. Int J Public Health 60, 147–155.
• Brussoni, M., et al 2015. What is the relationship between risky outdoor play and health in children? A systematic review. International Journal of Environmental Research and Public Health 12, 6423–6454
• Cheng, J.K., Koziol, R.L., Taveras, E.M., 2015. Parental Guidance Advised: Associations between parental television limits and health behaviors among obese children. Academic Pediatrics 15, 204–209.
• Ciccarelli, M., et al 2015. Managing children’s postural risk when using mobile technology at home: Challenges and strategies. Applied Ergonomics 51, 189–198
• De Decker, E., et al 2015. Parental influences on preschoolers’ tv viewing time: mediation analyses on Australian and Belgian data. Journal of Physical Activity and Health 12, 1272–1279.
• Downing, K et al (2015) Associations of parental rules and socioeconomic position with preschool children's sedentary behaviour and screen time JOURNAL OF PHYSICAL ACTIVITY & HEALTH  Volume: 12   Issue: 4   Pages: 515-521   
• Edwards, M.J., et al, 2015. The influence of friends and siblings on the physical activity and screen viewing behaviours of children aged 5–6 years: a qualitative analysis of parent interviews. BMJ Open 5, e006593.
• Eynon, R., Helsper, E., 2015. Family dynamics and Internet use in Britain: What role do children play in adults’ engagement with the Internet? Information, Communication & Society 18, 156–171.
• Felini, D., 2015. Beyond Today’s Video Game Rating Systems A Critical Approach to PEGI and ESRB, and Proposed Improvements. Games and Culture 10, 106–122.
• Goh,W L., Bay, S., Chen, V.H.-H., 2015. Young school children’s use of digital devices and parental rules. Telematics and Informatics 32, 787–795.
• Hawi, N.S., Rupert, M.S., 2015. Impact of e-Discipline on Children’s Screen Time. Cyberpsychology, Behavior, and Social Networking 18, 337–342
• Hinkley, T., Cliff, D.P., Okely, A.D., 2015. Reducing electronic media use in 2–3 year-old children: feasibility and efficacy of the Family@play pilot randomised controlled trial. BMC Public Health 15, 779.
• Hnatiuk, J.A., Salmon, J., Campbell, K.J., Ridgers, N.D., Hesketh, K.D., 2015. Tracking of maternal self-efficacy for limiting young children’s television viewing and associations with children’s television viewing time: a longitudinal analysis over 15-months. BMC Public Health 15, 517.
• Jago, R., et al, 2015. Parental Control, Nurturance, Self-Efficacy, and Screen Viewing among 5- to 6-Year-Old Children: A Cross-Sectional Mediation Analysis To Inform Potential Behavior Change Strategies. Childhood Obesity 11, 139–147
• Kalmus, V., Blinka, L., Ólafsson, K., 2015. Does it matter what Mama says: Evaluating the role of parental mediation in European adolescents’ excessive Internet use. Child Soc 29, 122–133.
• Krahé, B., Busching, R., 2015. Breaking the vicious cycle of media violence use and aggression: A test of intervention effects over 30 months. Psychology of Violence 5, 217–226.
• Lavigne, H.J., Hanson, K.G., Anderson, D.R., 2015. The influence of television coviewing on parent language directed at toddlers. Journal of Applied Developmental Psychology 36, 1–10.
• Linebarger, D.L., 2015. Contextualizing video game play: The moderating effects of cumulative risk and parenting styles on the relations among video game exposure and problem behaviors. Psychology of Popular Media Culture
• McMillan, R., McIsaac, M., Janssen, I., 2015. Family structure as a predictor of screen time among youth. PeerJ 3, e1048.
• Navsaria, D., Sanders, L.M., 2015. Early Literacy Promotion in the Digital Age. Pediatric Clinics of North America, Pediatric Prevention 62, 1273–1295.
• Nikken, P., Schols, M., 2015. How and why parents guide the media use of young children. J Child Fam Stud 24, 3423–3435
• Peek, H.S., Beresin, E., 2015. Reality check: how reality television can affect youth and how a media literacy curriculum can help. Acad Psychiatry 40, 177–181.
• Radanielina-Hita, M.L., 2015. Parental mediation of media messages does matter: More interaction about objectionable content is associated with emerging adults’ sexual attitudes and behaviors. Health Communication 30, 784–798.
• Schilder, J.D., Brusselaers, M.B.J., Bogaerts, S., 2015. The effectiveness of an intervention to promote awareness and reduce online risk behavior in early adolescence. J Youth Adolescence 45, 286–300.
• Schwartz, M.B., et al, 2015. The relationship between parental behaviors and children’s sugary drink consumption is moderated by a television in the child’s bedroom. Childhood Obesity 11, 560–568.
• Shin, W., 2015. Parental socialization of children’s Internet use: A qualitative approach. New Media Society 17, 649–665.
• Smith, L.J., Gradisar, M., King, D.L., 2015. Parental Influences on Adolescent Video Game Play: A Study of Accessibility, Rules, Limit Setting, Monitoring, and Cybersafety. Cyberpsychology, Behavior, and Social Networking 18, 273–279.
• Wasinski, A., Tomczyk, L., 2015. Factors reducing the risk of internet addiction in young people in their home environment. Children and Youth Services Review 57, 68–74.
• Wiedeman, A.M., et al, 2015. Factors influencing the impact of aggressive and violent media on children and adolescents. Aggression and Violent Behavior 25, Part A, 191–198
• Yilmaz, G., Demirli Caylan, N., Karacan, C.D., 2015. An intervention to preschool children for reducing screen time: a randomized controlled trial. Child Care Health Dev 41, 443–449.
• Zhu, J., Zhang, W., Yu, C., Bao, Z., 2015. Early adolescent Internet game addiction in context: How parents, school, and peers impact youth. Computers in Human Behavior 50, 159–168.

Technology-specific issues

• Aboujaoude, E., et al. 2015. Cyberbullying: Review of an Old Problem Gone Viral. Journal of Adolescent Health 57, 10–18.
• Blackman, K.C. et al  2015. Examining the Feasibility of Smartphone Game Applications for Physical Activity Promotion in Middle School Students. Games for Health Journal 4, 409–419.
• Bonus, J.A., Peebles, A., Riddle, K., 2015. The influence of violent video game enjoyment on hostile attributions. Computers in Human Behavior 52, 472–483
• Brockmyer, J.F., 2015. Playing violent video games and desensitization to violence. Child and Adolescent Psychiatric Clinics of North America, Top Topics in Child and Adolescent Psychiatry 24, 65–77
• Breuer, J., Kowert, R., Festl, R., Quandt, T., 2015. Sexist Games=Sexist Gamers? A Longitudinal Study on the Relationship Between Video Game Use and Sexist Attitudes. Cyberpsychology, Behavior, and Social Networking 18, 197–202.
• Correa, T., Straubhaar, J.D., Chen, W., Spence, J., 2015. Brokering new technologies: The role of children in their parents’ usage of the internet. New Media Society 17, 483–500.
• David, P. et al 2015. Mobile phone distraction while studying. New Media Society 17, 1661–1679.
• Exelmans, L., Custers, K., Van den Bulck, J., 2015. Violent video games and delinquent behavior in adolescents: A risk factor perspective. Aggr. Behav. 41, 267–279.
• Ferguson, C.J., 2015. Do Angry Birds Make for Angry Children? A meta-analysis of video game influences on children’s and adolescents’ aggression, mental health, prosocial behavior, and academic performance. Perspectives on Psychological Science 10, 646–666.
• Ferguson, C.J., et al, 2015. Digital poison? Three studies examining the influence of violent video games on youth. Computers in Human Behavior 50, 399–410.
• Ferguson, C.J., 2015. Pay no attention to that data behind the curtain on angry birds, happy children, scholarly squabbles, publication bias, and why Betas rule Metas. Perspectives on Psychological Science 10, 683–691
• George, M.J., Odgers, C.L., 2015. Seven fears and the science of how mobile technologies may be influencing adolescents in the digital age. Perspectives on Psychological Science 10, 832–851.
• Gong, D., He, H., Liu, D., Ma, W., Dong, L., Luo, C., Yao, D., 2015. Enhanced functional connectivity and increased gray matter volume of insula related to action video game playing. Sci. Rep. 5.
• Grimes, S.M., Fields, D.A., 2015. Children’s media making, but not sharing: The potential and limitations of child-specific diy media websites. Media International Australia, Incorporating Culture & Policy 112
• Hamm MP, Newton AS, Chisholm A, et al, 2015. Prevalence and effect of cyberbullying on children and young people: A scoping review of social media studies.   JAMA Pediatr.
• Hou, W., et al 2015. Supporting children’s online identity in international communities. Behaviour & Information Technology 34, 375–391
• Hwang, Y., Jeong, S.-H., 2015. Predictors of parental mediation regarding children’s smartphone use. Cyberpsychology, Behavior, and Social Networking 18, 737–743.
• Kabali, H.K., et al 2015. Exposure and use of mobile media devices by young children. Pediatrics 136, 1044–1050
• Koutamanis, M., Vossen, H.G.M., Valkenburg, P.M., 2015. Adolescents’ comments in social media: Why do adolescents receive negative feedback and who is most at risk? Computers in Human Behavior 53, 486–494.
• Kowert, R., et al 2015. Psychosocial causes and consequences of online video game play. Computers in Human Behavior 45, 51–58.
• Lemmens, J.S., Valkenburg, P.M., Gentile, D.A., 2015. The Internet Gaming Disorder Scale. Psychological Assessment 27, 567–582.
• Lishner, D.A., Groves, C.L., Chrobak, Q.M., 2015. Are violent video game-aggression researchers biased? Aggression and Violent Behavior 25, Part A, 75–78.
• Livingstone, S., Cagiltay, K., Ólafsson, K., 2015. EU Kids Online II Dataset: A cross-national study of children’s use of the Internet and its associated opportunities and risks. Br J Educ Technol 46, 988–992. Behavior, and Social Networking 18, 437–442
• Lynch, T;  Martins, M (2015) Nothing to fear? An analysis of college students' fear experiences with video games. Journal of Broadcasting & Electronic Media.Volume 59, Issue 2, 2015
• Mancilla-Caceres, J.F., Espelage, D., Amir, E., 2015. A computer game-based method for studying bullying and cyberbullying. Journal of School Violence 14, 66–86.
• Matthews, Nicholas L.(2015) Too good to care: The effect of skill on hostility and aggression following violent video game play COMPUTERS IN HUMAN BEHAVIOR  Volume: 48   Pages: 219-225
• Montgomery, K.C., 2015. Youth and surveillance in the Facebook era: Policy interventions and social implications. Telecommunications Policy, SPECIAL ISSUE ON THE GOVERNANCE OF SOCIAL MEDIA 39, 771–786.
• Nauroth, P., Gollwitzer, M., Bender, J., Rothmund, T., 2015. Social Identity Threat Motivates Science-Discrediting Online Comments. PLoS ONE 10, e0117476.
• Przybylski, A.K., Mishkin, A.F., 2015. How the Quantity and Quality of Electronic Gaming Relates to Adolescents’ Academic Engagement and Psychosocial Adjustment.  Psychology of Popular Media Culture, March
• Radesky, J.S., Kistin, C.J., Zuckerman, B., Nitzberg, K., Gross, J., Kaplan-Sanoff, M., Augustyn, M., Silverstein, M., 2014. Patterns of Mobile Device Use by Caregivers and Children During Meals in Fast Food Restaurants. Pediatrics peds.2013–3703.
• Radesky, J.S., Schumacher, J., Zuckerman, B., 2015. Mobile and Interactive Media use by young children: The good, the bad, and the unknown. Pediatrics 135
• Ribbens, W., Malliet, S., 2015. How male young adults construe their playing style in violent video games. New Media Society 17, 1624–1642.
• Rice, E et al. 2015. Cyberbullying perpetration and victimization among middle-school Students. Am J Public Health 105, e66–e72.
• Rothmund, T., Gollwitzer, M., Bender, J., Klimmt, C., 2015. Short- and long-term effects of video game violence on interpersonal trust. Media Psychology 18, 106–133.
• Sampasa-Kanyinga, H., Lewis, R.F., 2015. Frequent Use of Social Networking Sites Is Associated with Poor Psychological Functioning Among Children and Adolescents. Cyberpsychology, Behavior, and Social Networking 18, 380–385
• Shams, T.A., et al 2015. The effects of video games on cognition and brain structure: Potential implications for neuropsychiatric disorders. Curr Psychiatry Rep 17, 1–15
• Spears, B.A., et al 2015. Cyberbullying, help-seeking and mental health in young Australians: implications for public health. Int J Public Health 60, 219–226.
• Tiuc, S., Marcu, M., Cernazanu-Glavan, C., 2015. Study on content rating and security permissions of mobile applications in google play, in: 2015 IEEE International Symposium on Technology and Society (ISTAS). Presented at the 2015 IEEE International Symposium on Technology and Society (ISTAS), pp. 1–6.
• Triberti, S., Villani, D., Riva, G., 2015. Moral positioning in video games and its relation with dispositional traits: The emergence of a social dimension. Computers in Human Behavior 50, 1–8
• You, S., Kim, E., No, U., 2015. Impact of violent video games on the social behaviors of adolescents: The mediating role of emotional competence. School Psychology International 36, 94–111.
• Van de Sande, E., Segers, E., Verhoeven, L., 2015. The role of executive control in young children’s serious gaming behavior. Computers & Education 82, 432–441.
• Wauters, E., Lievens, E., Valcke, P., 2015. Children as social network actors: A European legal perspective on challenges concerning membership, rights, conduct and liability. Computer Law & Security Review 31, 351–364
• White, C.M., Gummerum, M., Hanoch, Y., 2015. Adolescents’ and young adults’ online risk taking: The role of gist and verbatim representations. Risk Analysis
• Willett, R.J., 2015. The discursive construction of “good parenting” and digital media – the case of children’s virtual world games. Media Culture Society 37, 1060–1075.
• Worth, N.C., Book, A.S., 2015. Dimensions of video game behavior and their relationships with personality. Computers in Human Behavior 50, 132–140.
• Ybarra, M.L., Boyd, D., 2015. Can clans protect adolescent players of massively multiplayer online games from violent behaviors? Int J Public Health 60, 267–276. doi:10.1007/s00038-014-0637-8
• You, S., Kim, E., No, U., 2015. Impact of violent video games on the social behaviors of adolescents: The mediating role of emotional competence. School Psychology International 36, 94–111.
• Zumbach, J., Seitz, C., Bluemke, M., 2015. Impact of violent video game realism on the self-concept of aggressiveness assessed with explicit and implicit measures. Computers in Human Behavior 53, 278–288