Do dietary patterns differ with video game usage in college men?

References

• Ogden CL, Carroll MD, Fryar CD, Flegal KM. Prevalence of obesity among adults and youth: United States, 2011–2014. Available at: http://htuneup.com/diseases/d_overweight.pdf. NCHS Data Brief. no. 219. Published November 2015, Accessed September 3, 2020.
   Google Scholar
• Skinner AC, Ravanbakht SN, Skelton JA, Perrin EM, Armstrong SC. Prevalence of obesity and severe obesity in US children, 1999–2016. Pediatrics. 2018;141(3):e20173459. doi:10.1542/peds.2017-3459.
   PubMed Web of Science ®Google Scholar
• Fryar CD, Carroll MD, Afful J. Prevalence of overweight, obesity, and severe obesity among adults aged 20 and over: United States, 1960–1962 through 2017–2018. Available at: https://www.cdc.gov/nchs/data/hestat/obesity-adult-17-18/overweight-obesity-adults-H.pdf. NCHS Health E-Stats. Published December, 2020. Accessed January 16, 2021.
   Google Scholar
• Llewellyn A, Simmonds M, Owen CG, Woolacott N. Childhood obesity as a predictor of morbidity in adulthood: a systematic review and meta-analysis. Obes Rev. 2016;17(1):56–67. doi:10.1111/obr.12316.
   PubMed Web of Science ®Google Scholar
• Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health. 2009;9:88. doi:10.1186/1471-2458-9-88.
   PubMed Web of Science ®Google Scholar
• Umer A, Kelley GA, Cottrell LE, Giacobbi P, Innes KE, Lilly CL. Childhood obesity and adult cardiovascular disease risk factors: a systematic review with meta-analysis. BMC Public Health. 2017;17(1):683. doi:10.1186/s12889-017-4691-z.
   PubMed Web of Science ®Google Scholar
• Heron M. Deaths: Leading Causes for 2017. Natl Vital Stat Rep. 68(6):1–77. https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_06-508.pdf. Published June 24, 2019. Accessed September 3, 2020.
   PubMedGoogle Scholar
• Khavjou O, Phelbs D, Leib A. Projections of cardiovascular disease prevalence and costs: 2015-2035. Available at: https://www.heart.org/idc/groups/heart-public/@wcm/@adv/documents/downloadable/ucm_491513.pdf. RTI International. Published November 2016. Accessed September 16, 2019.
   Google Scholar
• National Diabetes Statistics Report, 2020. Available at: https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf. US Dept of Health and Human Services. Published February, 2020. Accessed September 3, 2020.
   Google Scholar
• Economic Costs of Diabetes in the U.S. in 2017. Diabetes Care. 2018;41:917–928. doi:10.2337/dci18-0007.
   PubMed Web of Science ®Google Scholar
• Romieu I, Dossus L, Barquera S, IARC Working Group on Energy Balance and Obesity, et al. Energy balance and obesity: what are the main drivers? Cancer Causes Control. 2017;28(3):247–258. doi:10.1007/s10552-017-0869-z.
   PubMed Web of Science ®Google Scholar
• Marchand A, Hennig-Thurau T. Value creation in the video game industry: industry economics, consumer benefits, and research opportunities. J Interact Mark. 2013;27(3):141–157. doi:10.1016/j.intmar.2013.05.001.
   Web of Science ®Google Scholar
• Wijman T. The Global Games Market Will Generate $152.1 Billion in 2019 as the U.S. Overtakes China as the Biggest Market. Newzoo. Available at: https://newzoo.com/insights/articles/the-global-games-market-will-generate-152-1-billion-in-2019-as-the-u-s-overtakes-china-as-the-biggest-market/. Published June 18, 2019. Accessed November 30, 2019.
   Google Scholar
• Witkowski W. Videogames are a bigger industry than movies and North American sports combined, thanks to the pandemic. MarketWatch. Available at: https://www.marketwatch.com/story/videogames-are-a-bigger-industry-than-sports-and-movies-combined-thanks-to-the-pandemic-11608654990. Published December 22, 2020. Accessed January 16, 2021.
   Google Scholar
• Zhan C, Li B, Zhong X, Min H, Wu Z. A model for collective behaviour propagation: a case study of video game industry. Neural Comput Appl. 2020;32(9):4507–4517. doi:10.1007/s00521-018-3686-8.
   Google Scholar
• Brown JA, Marston HR. Gen X and digital games: looking back to look forward. In: Zhou J, Salvendy G, eds. Human Aspects of It for the Aged Population: Applications in Health, Assistance, and Entertainment. Cham, Switzerland: Springer International; 2018:485–500. doi:10.1007/978-3-319-92037-534.
   Google Scholar
• Shakir RN, Coates AM, Olds T, Rowlands A, Tsiros MD. Not all sedentary behaviour is equal: children’s adiposity and sedentary behaviour volumes, patterns and types. Obes Res Clin Pract. 2018;12(6):506–512. doi:10.1016/j.orcp.2018.09.001.
   PubMedGoogle Scholar
• Folkvord F, van ‘t Riet J. The persuasive effect of advergames promoting unhealthy foods among children: a meta-analysis. Appetite 2018;129:245–251. doi:10.1016/j.appet.2018.07.020.
   PubMed Web of Science ®Google Scholar
• Folkvord F, Anschutz DJ, Buijzen M, Valkenburg PM. The effect of playing advergames that promote energy-dense snacks or fruit on actual food intake among children. Am J Clin Nutr. 2013;97(2):239–245. doi:10.3945/ajcn.112.047126.
   PubMed Web of Science ®Google Scholar
• Alshehri AG, Mohamed AMAS. The relationship between electronic gaming and health, social relationships, and physical activity among males in Saudi Arabia. Am J Mens Health. 2019;13(4):1557988319873512. doi:10.1177/1557988319873512.
   Web of Science ®Google Scholar
• Tsiros MD, Samaras MG, Coates AM, Olds T. Use-of-time and health-related quality of life in 10- to 13-year-old children: not all screen time or physical activity minutes are the same. Qual Life Res. 2017;26(11):3119–3129. doi:10.1007/s11136-017-1639-9.
   PubMedGoogle Scholar
• González-Valero G, Ubago-Jiménez JL, Zurita-Ortega F, Chacón-Cuberos R, Castro-Sánchez M, Puertas-Molero P. Eating habits and lifestyles in schoolchildren from Granada (Spain). A pilot study. Educ Sci. 2018;8(4):216. doi:10.3390/educsci8040216.
   Google Scholar
• Marker C, Gnambs T, Appel M. Exploring the myth of the chubby gamer: a meta-analysis on sedentary video gaming and body mass. Soc Sci Med. 2022;301:112325. doi:10.1016/j.socscimed.2019.05.030.
   Google Scholar
• Allsop S, Green BP, Dodd-Reynolds CJ, Barry G, Rumbold PLS. Comparison of short-term energy intake and appetite responses to active and seated video gaming, in 8-11-year-old boys. Br J Nutr. 2016;115(6):1117–1125. doi:10.1017/S0007114515005437.
   PubMedGoogle Scholar
• Siervo M, Gan J, Fewtrell MS, Cortina-Borja M, Wells JCK. Acute effects of video-game playing versus television viewing on stress markers and food intake in overweight and obese young men: a randomised controlled trial. Appetite 2018;120:100–108. doi:10.1016/j.appet.2017.08.018.
   PubMedGoogle Scholar
• Borgogna N, Lockhart G, Grenard JL, Barrett T, Shiffman S, Reynolds KD. Ecological momentary assessment of urban adolescents’ technology use and cravings for unhealthy snacks and drinks: differences by ethnicity and sex. J Acad Nutr Diet. 2015;115(5):759–766. doi:10.1016/j.jand.2014.10.015.
   PubMed Web of Science ®Google Scholar
• Falbe J, Willett WC, Rosner B, Gortmaker SL, Sonneville KR, Field AE. Longitudinal relations of television, electronic games, and digital versatile discs with changes in diet in adolescents. Am J Clin Nutr. 2014;100(4):1173–1181. doi:10.3945/ajcn.114.088500.
   PubMed Web of Science ®Google Scholar
• Cameron JD, Maras D, Sigal RJ, et al. The mediating role of energy intake on the relationship between screen time behaviour and body mass index in adolescents with obesity: the HEARTY study. Appetite 2016;107:437–444. doi:10.1016/j.appet.2016.08.101.
   PubMedGoogle Scholar
• Provenzano S, Santangelo OE, Catalano R, Marchese V, Bonanno V, La Placa S. Determinants associated with obesity and physical activity in the public and private schools of the city of Palermo. Acta Medica Mediterr. 2018;34(2):443–448. doi:10.19193/0393-6384_2018_2_70.
   Google Scholar
• Rosiek A, Frąckowiak Maciejewska N, Leksowski K, Rosiek-Kryszewska A, Leksowski Ł. Effect of television on obesity and excess of weight and consequences of health. Int J Environ Res Public Health. 2015;12(8):9408–9426. doi:10.3390/ijerph120809408.
   PubMed Web of Science ®Google Scholar
• Ogletree SM, Drake R. College students’ video game participation and perceptions: gender differences and implications. Sex Roles. 2007;56(7-8):537–542. doi:10.1007/s11199-007-9193-5.
   Web of Science ®Google Scholar
• Gordon-Larsen P, Adair LS, Nelson MC, Popkin BM. Five-year obesity incidence in the transition period between adolescence and adulthood: the National Longitudinal Study of Adolescent Health. Am J Clin Nutr. 2004;80(3):569–575. doi:10.1093/ajcn/80.3.569.
   PubMed Web of Science ®Google Scholar
• Frech A. Healthy behavior trajectories between adolescence and young adulthood. Adv Life Course Res. 2012;17(2):59–68. doi:10.1016/j.alcr.2012.01.003.
   PubMed Web of Science ®Google Scholar
• Winpenny EM, van Sluijs EMF, White M, Klepp K-I, Wold B, Lien N. Changes in diet through adolescence and early adulthood: longitudinal trajectories and association with key life transitions. Int J Behav Nutr Phys Act. 2018;15(1):86. doi:10.1186/s12966-018-0719-8.
   PubMedGoogle Scholar
• Bergh IH, Skare Ø, Aase A, Klepp K-I, Lien N. Weight development from age 13 to 30 years and adolescent socioeconomic status: The Norwegian Longitudinal Health Behaviour study. Int J Public Health. 2016;61(4):465–473. doi:10.1007/s00038-015-0748-x.
   PubMedGoogle Scholar
• Winpenny EM, Smith M, Penney T, et al. Changes in physical activity, diet, and body weight across the education and employment transitions of early adulthood: a systematic review and meta-analysis. Obes Rev. 2020;21(4):e12962. doi:10.1111/obr.12962.
   PubMed Web of Science ®Google Scholar
• Nelson MC, Story M, Larson NI, NeumarkSztainer D, Lytle LA. Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change. Obesity (Silver Spring). 2008;16(10):2205–2211. 10.1038/oby.2008.365.
   PubMed Web of Science ®Google Scholar
• Levitsky DA, Garay J, Nausbaum M, Neighbors L, Dellavalle DM. Monitoring weight daily blocks the freshman weight gain: a model for combating the epidemic of obesity. Int J Obes. 2006;30(6):1003–1010. doi:10.1038/sj.ijo.0803221.
   Web of Science ®Google Scholar
• Levitsky DA, Halbmaier CA, Mrdjenovic G. The freshman weight gain: a model for the study of the epidemic of obesity. Int J Obes Relat Metab Disord. 2004;28(11):1435–1442. doi:10.1038/sj.ijo.0802776.
   PubMed Web of Science ®Google Scholar
• Anderson DA, Shapiro JR, Lundgren JD. The freshman year of college as a critical period for weight gain: an initial evaluation. Eat Behav. 2003;4(4):363–367. doi:10.1016/S1471-0153(03)00030-8.
   PubMedGoogle Scholar
• Hovell MF, Mewborn CR, Randle Y, Fowler-Johnson S. Risk of excess weight gain in university women: a three-year community controlled analysis. Addict Behav. 1985;10(1):15–28. doi:10.1016/0306-4603(85)90049-8.
   PubMed Web of Science ®Google Scholar
• Racette SB, Deusinger SS, Strube MJ, Highstein GR, Deusinger RH. Weight changes, exercise, and dietary patterns during freshman and sophomore years of college. J Am Coll Health. 2005;53(6):245–251. doi:10.3200/JACH.53.6.245-251.
   PubMed Web of Science ®Google Scholar
• Morrell JS, Lofgren IE, Burke JD, Reilly RA. Metabolic syndrome, obesity, and related risk factors among college men and women. J Am Coll Health. 2012;60(1):82–89. doi:10.1080/07448481.2011.582208.
   PubMed Web of Science ®Google Scholar
• Morrell JS, Cook SB, Carey GB. Cardiovascular fitness, activity, and metabolic syndrome among college men and women. Metab Syndr Relat Disord. 2013;11(5):370–376. doi:10.1089/met.2013.0011.
   PubMed Web of Science ®Google Scholar
• Badger J, Quatromoni PA, Morrell JS. Relationship between stress and healthy lifestyle factors of college students. Health Behav Policy Rev. 2019;6(1):43–55. doi:10.14485/HBPR.6.1.4.
   Google Scholar
• Schneider PL, Crouter SE, Lukajic O, Bassett DR. Accuracy and reliability of 10 pedometers for measuring steps over a 400-m walk. Med Sci Sports Exerc. 2003;35(10):1779–1784. doi:10.1249/01.MSS.0000089342.96098.C4.
   PubMed Web of Science ®Google Scholar
• Le Masurier GC, Tudor-Locke C. Comparison of pedometer and accelerometer accuracy under controlled conditions. Med Sci Sports Exerc. 2003;35(5):867–871. doi:10.1249/01.MSS.0000064996.63632.10.
   PubMed Web of Science ®Google Scholar
• Veldhuis JD, Roemmich JN, Richmond EJ, et al. Endocrine control of body composition in infancy, childhood, and puberty. Endocr Rev. 2005;26(1):114–146. doi:10.1210/er.2003-0038.
   PubMed Web of Science ®Google Scholar
• Cheng HL, Amatoury M, Steinbeck K. Energy expenditure and intake during puberty in healthy nonobese adolescents: a systematic review. Am J Clin Nutr. 2016;104(4):1061–1074. doi:10.3945/ajcn.115.129205.
   PubMed Web of Science ®Google Scholar
• Yan H, Zhang R, Oniffrey TM, et al. Associations among screen time and unhealthy behaviors, academic performance, and well-being in Chinese adolescents. IJERPH. 2017;14(6):596. doi:10.3390/ijerph14060596.
   Google Scholar
• Ciccone J, Woodruff SJ, Fryer K, Campbell T, Cole M. Associations among evening snacking, screen time, weight status, and overall diet quality in young adolescents. Appl Physiol Nutr Metab. 2013;38(7):789–794. doi:10.1139/apnm-2012-0374.
   PubMed Web of Science ®Google Scholar
• Cha EM, Hoelscher DM, Ranjit N, et al. Effect of media use on adolescent body weight. Prev Chronic Dis. 2018;15:e141. doi:10.5888/pcd15.180206.
   PubMedGoogle Scholar
• Thiele S, Mensink GB, Beitz R. Determinants of diet quality. Public Health Nutr. 2004;7(1):29–37. doi:10.1079/PHN2003516.
   PubMedGoogle Scholar
• Taylor MK, Sullivan DK, Ellerbeck EF, Gajewski BJ, Gibbs HD. Nutrition literacy predicts adherence to healthy/unhealthy diet patterns in adults with a nutrition-related chronic condition. Public Health Nutr. 2019;22(12):2157–2169. doi:10.1017/S1368980019001289.
   PubMed Web of Science ®Google Scholar
• Cronin J, McCarthy M. Fast food and fast games: an ethnographic exploration of food consumption complexity among the videogames subculture. Br Food J. 2011;113(6):720–743. doi:10.1108/00070701111140070.
   Web of Science ®Google Scholar
• Law YY. The Consumption of Food at Video Game Events. Paper presented at 2020 DiGRA International Conference: Play Everywhere; June, 2020. Available at: http://www.digra.org/wp-content/uploads/digital-library/DiGRA_2020_paper_439.pdf. Accessed January 16, 2021.
   Google Scholar
• Chahal H, Fung C, Kuhle S, Veugelers PJ. Availability and night-time use of electronic entertainment and communication devices are associated with short sleep duration and obesity among Canadian children. Pediatr Obes. 2013;8(1):42–51. doi:10.1111/j.2047-6310.2012.00085.x.
   PubMed Web of Science ®Google Scholar
• Ferrari GLdM, Araújo TL, Oliveira LC, Matsudo V, Fisberg M. Association between electronic equipment in the bedroom and sedentary lifestyle, physical activity, and body mass index of children. J Pediatr (Rio J). 2015;91(6):574–582. doi:10.1016/j.jped.2015.01.009.
   PubMedGoogle Scholar
• Yu C-Y, Wang B. Moving toward active lifestyles: the change of transit-related walking to work From 2009 to 2017. J Phys Act Health. 2020;17(2):189–196. doi:10.1123/jpah.2019-0232.
   PubMedGoogle Scholar
• Kontou E, McDonald NC, Brookshire K, Pullen-Seufert NC, LaJeunesse S. U.S. active school travel in 2017: prevalence and correlates. Prev Med Rep. 2020;17:101024. doi:10.1016/j.pmedr.2019.101024.
   PubMedGoogle Scholar
• Althoff T, Sosič R, Hicks JL, King AC, Delp SL, Leskovec J. Large-scale physical activity data reveal worldwide activity inequality. Nature 2017;547(7663):336–339. doi:10.1038/nature23018.
   PubMed Web of Science ®Google Scholar
• Mallorquí-Bagué N, Fernández-Aranda F, Lozano-Madrid M, et al. Internet gaming disorder and online gambling disorder: clinical and personality correlates. J Behav Addict. 2017;6(4):669–677. doi:10.1556/2006.6.2017.078.
   PubMed Web of Science ®Google Scholar
• Jackson LA, von Eye A, Fitzgerald HE, Witt EA, Zhao Y. Internet use, videogame playing and cell phone use as predictors of children’s body mass index (BMI), body weight, academic performance, and social and overall self-esteem. Comput Hum Behav. 2011;27(1):599–604. doi:10.1016/j.chb.2010.10.019.
   Web of Science ®Google Scholar
• Kelly N, Mazzeo S, Bean M. Systematic review of dietary interventions with college students: directions for future research and practice. J Nutr Educ Behav. 2013;45(4):304–313. doi:10.1016/j.jneb.2012.10.012.
   PubMed Web of Science ®Google Scholar
• Anderson SL. Touchscreen travelers: hands, bodies, agency, and mobile game players. Convergence. 2019;25(1):77–94. doi:10.1177/1354856518807403.
   Google Scholar