An exploratory study of time spent with interactive technology and body mass among young adults

Explored connection between young adult BMI and time spent on interactive technology.We used technology time as independent variable and BMI as dependent variable.Young adult access to interactive technology was not related to BMI.Time with video chat, social networking, and email higher among obese young adults. Young adulthood (18-25years old) is a risky time period for the development of obesity and is an understudied population in terms of identifying weight-related determinates. Previous research has identified correlations between Body Mass Index (BMI) and sedentary behaviors, including television, among children and adolescents. Young adults have an affinity for interactive technologies (i.e., email, cell phones, social networking and video chat), but at present no studies have investigated the association between BMI and interactive technologies. A major contribution from this study was the conceptualization of time spent with interactive technology as the dependent variable and Body Mass Index and the independent variable. Young adults (N=802) reported their height, weight, and weekly time spent with interactive technology. Obese participants reported significantly more time spent with email, social networking, video chat, and total technology time than their non-obese peers. It is proposed that obese young adults use interactive technologies more frequently than non-obese young adults because interactive technologies facilitate unobtrusive interactions and a mechanism to control social interactions.

[1]  D. Neumark-Sztainer,et al.  Emerging Adulthood and College‐aged Youth: An Overlooked Age for Weight‐related Behavior Change , 2008, Obesity.

[2]  James A. Roberts,et al.  The invisible addiction: Cell-phone activities and addiction among male and female college students , 2014, Journal of behavioral addictions.

[3]  Craig Partridge,et al.  The Technical Development of Internet Email , 2008, IEEE Annals of the History of Computing.

[4]  A. Mokdad,et al.  The spread of the obesity epidemic in the United States, 1991-1998. , 1999, JAMA.

[5]  S. Daniels,et al.  Obesity, physical activity, and blood pressure , 2015 .

[6]  G. Thomas,et al.  Exploring the complex pathways among specific types of technology, self-reported sleep duration and body mass index in UK adolescents , 2013, International Journal of Obesity.

[7]  Gail M. Williams,et al.  Television watching from adolescence to adulthood and its association with BMI, waist circumference, waist-to-hip ratio and obesity: a longitudinal study , 2012, Public Health Nutrition.

[8]  S. Virtanen,et al.  Use of information and communication technology and prevalence of overweight and obesity among adolescents , 2005, International Journal of Obesity.

[9]  José Carlos Ribeiro,et al.  Obesity, Physical Activity, Computer Use, and TV Viewing in Portuguese Adolescents , 2006 .

[10]  J. M. Wober.  Uses and Gratifications : Some Thoughts on Research Methods( Uses and Gratifications from the Mass Media : New Perspectives) , 1996 .

[11]  Crispin Thurlow,et al.  Profiling "New" Communication Technologies In Adolescence , 2003 .

[12]  A. Jordan,et al.  Does adolescent media use cause obesity and eating disorders? , 2005, Adolescent medicine: state of the art reviews.

[13]  Richard Larouche,et al.  Systematic review of sedentary behaviour and health indicators in school-aged children and youth , 2011, The international journal of behavioral nutrition and physical activity.

[14]  C. rd,et al.  Healthy Weight - it's not a diet, it's a lifestyle! , 2014 .

[15]  Jennifer L. Gibbs,et al.  The Role of Anticipated Future Interaction, Self-Disclosure, and Perceived Success in Internet Dating , 2006 .

[16]  G. Dunton,et al.  Media Use and Obesity in Adolescent Females , 2007, Obesity.

[17]  Megan E. Patrick,et al.  Daily Associations Between Drinking and Sex Among College Students: A Longitudinal Measurement Burst Design. , 2015, Journal of research on adolescence : the official journal of the Society for Research on Adolescence.

[18]  Sven Ehlert,et al.  Analysis and Signature of Skype VoIP Session Traffic , 2006 .

[19]  Jing Wang,et al.  Patterns of physical activity, sedentary behavior, and diet in U.S. adolescents. , 2013, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[20]  S. Leatherdale,et al.  Factors associated with communication-based sedentary behaviors among youth: are talking on the phone, texting, and instant messaging new sedentary behaviors to be concerned about? , 2010, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[21]  L. Cupples,et al.  Television viewing and change in body fat from preschool to early adolescence: The Framingham Children's Study , 2003, International Journal of Obesity.

[22]  Jennifer Utter,et al.  Couch potatoes or french fries: are sedentary behaviors associated with body mass index, physical activity, and dietary behaviors among adolescents? , 2003, Journal of the American Dietetic Association.

[23]  M. Gillmore,et al.  The Relative Costs and Benefits of Telephone Interviews Versus Self-Administered Diaries for Daily Data Collection , 2000, Evaluation review.

[24]  Stephanie M. Reich,et al.  Online and Offline Social Networks: Use of Social Networking Sites by Emerging Adults , 2008 .

[25]  Lee Rainie.  A Biography of the Pew Research Center’s Internet & American Life Project , 2012 .

[26]  John A. H. Lee.  Health: United States , 1986 .

[27]  Soraya Mehdizadeh,et al.  Self-Presentation 2.0: Narcissism and Self-Esteem on Facebook , 2010, Cyberpsychology Behav. Soc. Netw..

[28]  J. Holmes,et al.  Health, United States, 2013 : with special feature on prescription drugs , 2014 .

[29]  M. Zack,et al.  Health-related quality of life and body mass index among US adolescents , 2014, Quality of Life Research.

[30]  M. Rich,et al.  Characteristics of Screen Media Use Associated With Higher BMI in Young Adolescents , 2013, Pediatrics.

[31]  J. Fulton,et al.  Television viewing and its associations with overweight, sedentary lifestyle, and insufficient consumption of fruits and vegetables among US high school students: differences by race, ethnicity, and gender. , 2002, The Journal of school health.

[32]  Thomas E. Ruggiero.  Uses and Gratifications Theory in the 21st Century , 2000 .

[33]  Alexander von Eye,et al.  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 , 2011, Comput. Hum. Behav..

[34]  Shelia R. Cotten,et al.  No A 4 U: The relationship between multitasking and academic performance , 2012, Comput. Educ..

[35]  A. Adachi-Mejia,et al.  Children with a TV in their bedroom at higher risk for being overweight , 2007, International Journal of Obesity.

[36]  J. Vaterlaus,et al.  Early adolescent Body Mass Index and the constructed environment. , 2014, Journal of adolescence.

[37]  Susannah Fox,et al.  Generations online in 2009 , 2009 .

[38]  Clare Stroud,et al.  Investing in the health and well-being of young adults. , 2015, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[39]  D. Crawford,et al.  Television viewing, physical inactivity and obesity , 1999, International Journal of Obesity.

[40]  T. Robinson,et al.  Overweight in children and adolescents: pathophysiology, consequences, prevention, and treatment. , 2005, Circulation.

[41]  Jason Martin,et al.  Identity construction on Facebook: Digital empowerment in anchored relationships , 2008, Comput. Hum. Behav..

[42]  J. Arnett.  Emerging adulthood. A theory of development from the late teens through the twenties. , 2000, The American psychologist.

[43]  J. Mitchell Vaterlaus,et al.  #Gettinghealthy: The perceived influence of social media on young adult health behaviors , 2015, Comput. Hum. Behav..

[44]  Nicole B. Ellison,et al.  Self-Presentation in Online Personals , 2006, Commun. Res..

[45]  Keith J. Anderson.  Internet Use Among College Students: An Exploratory Study , 2001, Journal of American college health : J of ACH.

[46]  S. McGuire.  Frayar, D.C., Ervin, R.B. Caloric intake from fast food among adults: United States, 2007-2010. NCHS Data Brief, No. 114, February 2013. Hyattsville, MD: National Center for Health Statistics, 2013. , 2013, Advances in nutrition.

[47]  L. Moreno,et al.  Sedentary behaviour and obesity development in children and adolescents. , 2008, Nutrition, metabolism, and cardiovascular diseases : NMCD.