The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Longitudinal relations of television, electronic games, and digital versatile discs with changes in diet in adolescents
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Adolescents tend to have excellent access to computers, the Internet, mobile telephones and multiple digital devices, and are proficient in their use.
“These studies coincide in indicating that this segment of the population tends to have excellent access to computers, the Internet, mobile telephones and multiple digital devices, and is proficient in their use.”
From Media and information literacy: a measurement instrument for adolescents (2021) · cites this paper as Falbe et al., 2014
Adolescents are proficient in the use and operation of current communication technology.
“This may be related to previous research showing that adolescents are proficient in the use and operation of current communication technology (Falbe, et al., 2014).”
From Media and information literacy: a measurement instrument for adolescents (2021) · cites this paper as Falbe, et al., 2014
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Prevalence of Childhood and Adult Obesity in the United States, 2011-2012
Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2014) · JAMA · doi:10.1001/jama.2014.732 · Cited by 8,072
Systematic review of sedentary behaviour and health indicators in school-aged children and youth.
Tremblay, M. S., LeBlanc, A. G., Kho, M. E., Saunders, T. J., Larouche, R., Colley, R. C., Goldfield, G., & Gorber, S. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-98 · Cited by 2,085
Priming effects of television food advertising on eating behavior.
Harris, J. L., Bargh, J. A., & Brownell, K. D. (2009) · Health Psychology · doi:10.1037/a0014399 · Cited by 945
A Trial of Sugar-free or Sugar-Sweetened Beverages and Body Weight in Children
de Ruyter, J. C., Olthof, M. R., Seidell, J. C., & Katan, M. B. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1203034 · Cited by 814
A Randomized Trial of Sugar-Sweetened Beverages and Adolescent Body Weight
Ebbeling, C. B., Feldman, H. A., Chomitz, V. R., Antonelli, T. A., Gortmaker, S. L., Osganian, S. K., & Ludwig, D. S. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1203388 · Cited by 699
Self-citationBerkey, C. S., Rockett, H. R. H., Gillman, M. W., & Colditz, G. A. (2003) · Pediatrics · doi:10.1542/peds.111.4.836 · Cited by 349
Behavioral Evidence of the Effects of Televised Food Messages on Children
Gorn, G. J., & Goldberg, M. E. (1982) · Journal of Consumer Research · doi:10.1086/208913 · Cited by 266
Adiposity and different types of screen time
Falbe, J., Rosner, B., Willett, W. C., Sonneville, K. R., Hu, F. B., & Field, A. E. (2013) · Pediatrics · doi:10.1542/peds.2013-0887 · Cited by 119
Self-citationvan Grieken, A., Ezendam, N. P., Paulis, W. D., van der Wouden, J. C., & Raat, H. (2012) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-9-61 · Cited by 111
Flagged first, then by citations
Research works printed but not linked: 55
- 2011, Children, adolescents, obesity, and the media, Pediatrics, 128, 201, 10.1542/peds.2011-1066 · DOI
- Rey-López, 2008, Sedentary behaviour and obesity development in children and adolescents, Nutr Metab Cardiovasc Dis, 18, 242, 10.1016/j.numecd.2007.07.008 · DOI
- Robinson, 2001, Television viewing and childhood obesity, Pediatr Clin North Am, 48, 1017, 10.1016/S0031-3955(05)70354-0 · DOI · Paper page
- Epstein, 2008, A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children, Arch Pediatr Adolesc Med, 162, 239, 10.1001/archpediatrics.2007.45 · DOI · Paper page
- Taveras, 2007, Longitudinal relationship between television viewing and leisure-time physical activity during adolescence, Pediatrics, 119, e314, 10.1542/peds.2005-2974 · DOI
- Jenvey, 2007, The relationship between television viewing and obesity in young children: a review of existing explanations, Early Child Dev Care, 177, 809, 10.1080/03004430601119851 · DOI
- Marshall, 2004, Relationships between media use, body fatness and physical activity in children and youth: a meta-analysis, Int J Obes Relat Metab Disord, 28, 1238, 10.1038/sj.ijo.0802706 · DOI
- Kahn, 2002, The effectiveness of interventions to increase physical activity. A systematic review, Am J Prev Med, 22, 73, 10.1016/S0749-3797(02)00434-8 · DOI · Paper page
- Dietz, 1994, Effect of sedentary activities on resting metabolic rate, Am J Clin Nutr, 59, 556, 10.1093/ajcn/59.3.556 · DOI
- Cooper, 2006, An assessment of obese and non obese girls’ metabolic rate during television viewing, reading, and resting, Eat Behav, 7, 105, 10.1016/j.eatbeh.2005.08.007 · DOI
- Ford, 2012, Television viewing associated with adverse dietary outcomes in children ages 2-6, Obes Rev, 13, 1139, 10.1111/j.1467-789X.2012.01028.x · DOI
- Pearson, 2011, Sedentary behavior and dietary intake in children, adolescents, and adults a systematic review, Am J Prev Med, 41, 178, 10.1016/j.amepre.2011.05.002 · DOI · Paper page
- Boynton-Jarrett, 2003, Impact of television viewing patterns on fruit and vegetable consumption among adolescents, Pediatrics, 112, 1321, 10.1542/peds.112.6.1321 · DOI
- Larson, 2008, Fast food intake: longitudinal trends during the transition to young adulthood and correlates of intake, J Adolesc Health, 43, 79, 10.1016/j.jadohealth.2007.12.005 · DOI
- Barr-Anderson, 2009, Does television viewing predict dietary intake five years later in high school students and young adults?, Int J Behav Nutr Phys Act, 6, 7, 10.1186/1479-5868-6-7 · DOI
- Wiecha, 2006, When children eat what they watch: impact of television viewing on dietary intake in youth, Arch Pediatr Adolesc Med, 160, 436, 10.1001/archpedi.160.4.436 · DOI
- Sonneville, 2008, Total energy intake, adolescent discretionary behaviors and the energy gap, Int J Obes (Lond), 32, S19, 10.1038/ijo.2008.203 · DOI
- Pearson, 2011, Mediators of longitudinal associations between television viewing and eating behaviours in adolescents, Int J Behav Nutr Phys Act, 8, 23, 10.1186/1479-5868-8-23 · DOI
- Gebremariam, 2013, Are screen-based sedentary behaviors longitudinally associated with dietary behaviors and leisure-time physical activity in the transition into adolescence?, Int J Behav Nutr Phys Act, 10, 9, 10.1186/1479-5868-10-9 · DOI
- Halford, 2007, Beyond-brand effect of television (TV) food advertisements/commercials on caloric intake and food choice of 5-7-year-old children, Appetite, 49, 263, 10.1016/j.appet.2006.12.003 · DOI
- Anschutz, 2009, Side effects of television food commercials on concurrent nonadvertised sweet snack food intakes in young children, Am J Clin Nutr, 89, 1328, 10.3945/ajcn.2008.27075 · DOI
- Berkey, 2008, Weight gain in older adolescent females: the internet, sleep, coffee, and alcohol, J Pediatr, 153, 635, 10.1016/j.jpeds.2008.04.072 · DOI
- O’Loughlin, 2000, One- and two-year predictors of excess weight gain among elementary schoolchildren in multiethnic, low-income, inner-city neighborhoods, Am J Epidemiol, 152, 739, 10.1093/aje/152.8.739 · DOI
- Zimmerman, 2010, Associations of television content type and obesity in children, Am J Public Health, 100, 334, 10.2105/AJPH.2008.155119 · DOI
- Janz, 2005, Tracking of activity and sedentary behaviors in childhood: the Iowa Bone Development Study, Am J Prev Med, 29, 171, 10.1016/j.amepre.2005.06.001 · DOI
- Ustjanauskas AE, Harris JL, Schwartz MB. Food and beverage advertising on childrenaposs web sites. Pediatr Obes (Epub ahead of print 2 July 2013). · DOI
- Folkvord, 2013, The effect of playing advergames that promote energy-dense snacks or fruit on actual food intake among children, Am J Clin Nutr, 97, 239, 10.3945/ajcn.112.047126 · DOI
- Hu, 2010, Sugar-sweetened beverages and risk of obesity and type 2 diabetes: epidemiologic evidence, Physiol Behav, 100, 47, 10.1016/j.physbeh.2010.01.036 · DOI · Paper page
- Rosenheck, 2008, Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk, Obes Rev, 9, 535, 10.1111/j.1467-789X.2008.00477.x · DOI · Paper page
- Culp, 2010, Characteristics of food industry web sites and “advergames” targeting children, J Nutr Educ Behav, 42, 197, 10.1016/j.jneb.2009.07.008 · DOI
- Henry, 2009, Food and beverage brands that market to children and adolescents on the internet: a content analysis of branded web sites, J Nutr Educ Behav, 41, 353, 10.1016/j.jneb.2008.08.004 · DOI
- Batada, 2008, Nine out of 10 food advertisements shown during Saturday morning children’s television programming are for foods high in fat, sodium, or added sugars, or low in nutrients, J Am Diet Assoc, 108, 673, 10.1016/j.jada.2008.01.015 · DOI
- Batada, 2007, Nickelodeon markets nutrition-poor foods to children, Am J Prev Med, 33, 48, 10.1016/j.amepre.2007.02.035 · DOI
- Bell, 2009, Frequency and types of foods advertised on Saturday morning and weekday afternoon English- and Spanish-language American television programs, J Nutr Educ Behav, 41, 406, 10.1016/j.jneb.2008.05.008 · DOI
- Fairclough, 2009, Associations between children’s socioeconomic status, weight status, and sex, with screen-based sedentary behaviours and sport participation, Int J Pediatr Obes, 4, 299, 10.3109/17477160902811215 · DOI
- Rockett, 1997, Validation of a youth/adolescent food frequency questionnaire, Prev Med, 26, 808, 10.1006/pmed.1997.0200 · DOI
- Rosner, 1983, Percentage points for a generalized ESD many-outlier procedure, Technometrics, 25, 165, 10.1080/00401706.1983.10487848 · DOI
- Gortmaker, 1999, Reducing obesity via a school-based interdisciplinary intervention among youth: Planet Health, Arch Pediatr Adolesc Med, 153, 409, 10.1001/archpedi.153.4.409 · DOI
- Ainsworth, 2000, Compendium of physical activities: an update of activity codes and MET intensities, Med Sci Sports Exerc, 32, S498, 10.1097/00005768-200009001-00009 · DOI · Paper page
- Cole, 2000, Establishing a standard definition for child overweight and obesity worldwide: international survey, BMJ, 320, 1240, 10.1136/bmj.320.7244.1240 · DOI
- Hanley, 2003, Statistical analysis of correlated data using generalized estimating equations: an orientation, Am J Epidemiol, 157, 364, 10.1093/aje/kwf215 · DOI · Paper page
- McCullough, 2002, Diet quality and major chronic disease risk in men and women: moving toward improved dietary guidance, Am J Clin Nutr, 76, 1261, 10.1093/ajcn/76.6.1261 · DOI · Paper page
- Borzekowski, 2001, The 30-second effect: an experiment revealing the impact of television commercials on food preferences of preschoolers, J Am Diet Assoc, 101, 42, 10.1016/S0002-8223(01)00012-8 · DOI
- Sutherland, 2010, Prevalence of food and beverage brands in movies: 1996–2005, Pediatrics, 125, 468, 10.1542/peds.2009-0857 · DOI
- Speers, 2011, Child and adolescent exposure to food and beverage brand appearances during prime-time television programming, Am J Prev Med, 41, 291, 10.1016/j.amepre.2011.04.018 · DOI
- Harris, 2012, Food company branded games on the internet: children’s exposure and effects on snack consumption, J Children Media, 6, 51, 10.1080/17482798.2011.633405 · DOI
- Pempek, 2009, Tipping the balance: use of advergames to promote consumption of nutritious foods and beverages by low-income African American children, Arch Pediatr Adolesc Med, 163, 633, 10.1001/archpediatrics.2009.71 · DOI
- Powell, 2013, Food marketing expenditures aimed at youth: putting the numbers in context, Am J Prev Med, 45, 453, 10.1016/j.amepre.2013.06.003 · DOI
- Bellissimo, 2007, Effect of television viewing at mealtime on food intake after a glucose preload in boys, Pediatr Res, 61, 745, 10.1203/pdr.0b013e3180536591 · DOI
- Temple, 2007, Television watching increases motivated responding for food and energy intake in children, Am J Clin Nutr, 85, 355, 10.1093/ajcn/85.2.355 · DOI · Paper page
- Higgs, 2009, Television watching during lunch increases afternoon snack intake of young women, Appetite, 52, 39, 10.1016/j.appet.2008.07.007 · DOI
- Oldham-Cooper, 2011, Playing a computer game during lunch affects fullness, memory for lunch, and later snack intake, Am J Clin Nutr, 93, 308, 10.3945/ajcn.110.004580 · DOI
- Blass, 2006, On the road to obesity: Television viewing increases intake of high-density foods, Physiol Behav, 88, 597, 10.1016/j.physbeh.2006.05.035 · DOI
- Chaput, 2011, Do active video games increase food intake?, Am J Clin Nutr, 94, 1155, 10.3945/ajcn.111.022400 · DOI
- Ng, 2014, Turning point for US diets? Recessionary effects or behavioral shifts in foods purchased and consumed, Am J Clin Nutr, 99, 609, 10.3945/ajcn.113.072892 · DOI
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Falbe, J., Davison, K. K., Franckle, R. L., Ganter, C., Gortmaker, S. L., Smith, L., Land, T., & Taveras, E. M. (2015) · PEDIATRICS · doi:10.1542/peds.2014-2306 · Cited by 237
Franckle, R. L., Falbe, J., Gortmaker, S., Ganter, C., Taveras, E. M., Land, T., & Davison, K. K. (2015) · Preventive Medicine · doi:10.1016/j.ypmed.2015.02.007 · Cited by 88
Self-citationMedia and information literacy: a measurement instrument for adolescents
Cuervo Sánchez, S. L., Foronda Rojo, A., Rodríguez Martínez, A., & Medrano Samaniego, C. (2021) · Educational Review · doi:10.1080/00131911.2019.1646708 · Cited by 42
Mazur, A., Caroli, M., Radziewicz‐Winnicki, I., Nowicka, P., Weghuber, D., Neubauer, D., Dembiński, Ł., Crawley, F. P., White, M., & Hadjipanayis, A. (2018) · Acta Paediatrica · doi:10.1111/apa.14136 · Cited by 38
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Associations of Contemporary Screen Time Modalities With Early Adolescent Nutrition
Nagata, J. M., Weinstein, S., Bashir, A., Lee, S., Al-shoaibi, A. A. A., Shao, I. Y., Ganson, K. T., Testa, A., He, J., & Garber, A. K. (2024) · Academic Pediatrics · doi:10.1016/j.acap.2024.01.023 · Cited by 12
Metadata
- Authors
- Falbe, J., Willett, W. C., Rosner, B., Gortmaker, S. L., Sonneville, K. R., & Field, A. E.
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 100
- Issue
- 4
- Pages
- 1173-1181
- ISSN
- 0002-9165
- Cited by
- 95
- References
- 9
- Language
- en
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