Citation: Pereira M. Duffey K. Gordon-Larsen P. Niemeier H. Hertzler A. Driskell J. Neumark-Sztainer D. Cusatis Block J. French S. Harris K. Nelson M. C. & Baranowski T. (2008 March 10). Fast food intake: Longitudinal trends during the transition to young adulthood and correlates of intake. Journal Adolescent Health. https://www.sciencedirect.com/science/article/abs/pii/S1054139X07006647 Paragraph One: This study looks at how fast consumption evolves from middle adolescence early adulthood concentrating on baseline this eating habit. Data Project EAT a longitudinal research headquartered in Minnesota was acquired 935 girls 751 males. According findings 24% males 21% females reported regular throughout adolescence. Males an increase follow-up whereas did not. At snack frequency related with Peer support for healthy eating health concern self-efficacy were all inversely associated follow-up consumption. Females' judgments time taste obstacles lunch frequency television viewing availability harmful foods. (Methods used collect data should be identified as surveys. The gap addressed evolution adulthood. EAT gathered these findings.) Two: shows connection between habits their Similar other studies or emphasized importance eating. existing being adolescents which offers further perspective progression topic. A inquiry could why have different towards choices teenage years. methodology within source would surveys weakness you aren’t able confirm accuracy if provided broad group individuals. strengths larger sample is available easier maintain. For my project particular I’m planning using method while asking more demographic along factors unrelated study. Academic Press. (2019 October 25). Adolescents’ engagement unhealthy beverage brands social media. Appetite. https://www.sciencedirect.com/science/article/abs/pii/S0195666319307949 investigates effect food-related advertising teenagers' media participation food/beverage brands. study 75% teens engaged any brand media 35% connecting 5 Non-Hispanic Black Hispanic who less acculturated likely engage emphasizes need into such marketing impacts preferences diets health particularly regard food sugary beverages sweets snacks. comparison broader overall genre. Multivariate logistic regression models conduct surveys study.) racial focusing groups advertisements. exist teenagers among white non-hispanic black hispanic community. division reactions data. family Smit C. R. Buijs L. van Woudenberg Bevelander E. Buijzen December 16). impact influencers children’s dietary behaviors. Frontiers. https://www.frontiersin.org/articles/10.3389/fpsyg.2019.02975/full Food vlogs frequently blamed childhood obesity. These vlogs are by target youthful audiences marketing pushing high-calorie sugary salty items. Obesity noncommunicable illnesses increased Vlogs replaced programming key element children's everyday Sponsoring market items successful technique influencing children since promotion closely interwoven content making it difficult identify advertising. processes that underpin efficacy character may also found influencers. link watching poor has not been established. collection via issued day ages 8 12. vloggers creating content containing advertisements children. MyMovez “Wearable Lab” (a surveying application) data) use additional type can vloggers. limiting actually very interesting insight they view. factor unable monitor what each individual child watched. addressing instead