Published on in Vol 11, No 3 (2009): Jul-Sep

Associations of Leisure-Time Internet and Computer Use With Overweight and Obesity, Physical Activity and Sedentary Behaviors: Cross-Sectional Study

Associations of Leisure-Time Internet and Computer Use With Overweight and Obesity, Physical Activity and Sedentary Behaviors: Cross-Sectional Study

Associations of Leisure-Time Internet and Computer Use With Overweight and Obesity, Physical Activity and Sedentary Behaviors: Cross-Sectional Study

Journals

  1. O’Donoghue G, Perchoux C, Mensah K, Lakerveld J, van der Ploeg H, Bernaards C, Chastin S, Simon C, O’Gorman D, Nazare J. A systematic review of correlates of sedentary behaviour in adults aged 18–65 years: a socio-ecological approach. BMC Public Health 2016;16(1) View
  2. Jerome G, McAuley E. Physical activity levels among adult computer users. Computers in Human Behavior 2011;27(3):1207 View
  3. Wang Y, Su C, Ouyang Y, Jia X, Zhang B, Wang Z, Wang H. Secular trends in sedentary behaviors and associations with weight indicators among Chinese reproductive-age women from 2004 to 2015: findings from the China Health and Nutrition Survey. International Journal of Obesity 2020;44(11):2267 View
  4. Dario A, Loureiro Ferreira M, Refshauge K, Luque-Suarez A, Ordoñana J, Ferreira P. Obesity does not increase the risk of chronic low back pain when genetics are considered. A prospective study of Spanish adult twins. The Spine Journal 2017;17(2):282 View
  5. Sacco P, Ferilli G, Tavano Blessi G. From Culture 1.0 to Culture 3.0: Three Socio-Technical Regimes of Social and Economic Value Creation through Culture, and Their Impact on European Cohesion Policies. Sustainability 2018;10(11):3923 View
  6. Kim D, Hou W, Wang F, Arcan C. Factors Affecting Obesity and Waist Circumference Among US Adults. Preventing Chronic Disease 2019;16 View
  7. Kearns A, Whitley E. Associations of internet access with social integration, wellbeing and physical activity among adults in deprived communities: evidence from a household survey. BMC Public Health 2019;19(1) View
  8. Van Dyck D, Cardon G, Deforche B, Owen N, De Cocker K, Wijndaele K, De Bourdeaudhuij I. Socio-demographic, psychosocial and home-environmental attributes associated with adults' domestic screen time. BMC Public Health 2011;11(1) View
  9. Watson A, Bickmore T, Cange A, Kulshreshtha A, Kvedar J. An Internet-Based Virtual Coach to Promote Physical Activity Adherence in Overweight Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(1):e1 View
  10. Júdice P, Silva A, Sardinha L. Sedentary bout durations are associated with abdominal obesity in older adults. The journal of nutrition, health & aging 2015;19(8):798 View
  11. Rhodes R, Mark R, Temmel C. Adult Sedentary Behavior. American Journal of Preventive Medicine 2012;42(3):e3 View
  12. Kreuser F, Kromeyer-Hauschild K, Gollhofer A, Korsten-Reck U, Röttger K. “Obese Equals Lazy?” Analysis of the Association between Weight Status and Physical Activity in Children. Journal of Obesity 2013;2013:1 View
  13. Prince S, Reed J, McFetridge C, Tremblay M, Reid R. Correlates of sedentary behaviour in adults: a systematic review. Obesity Reviews 2017;18(8):915 View
  14. Fenner Y, Garland S, Moore E, Jayasinghe Y, Fletcher A, Tabrizi S, Gunasekaran B, Wark J. Web-Based Recruiting for Health Research Using a Social Networking Site: An Exploratory Study. Journal of Medical Internet Research 2012;14(1):e20 View
  15. Abasi M, Eslami A, Rakhshani F. Introducing an Outcome Expectation Questionnaire and Its Psychometric Properties Regarding Leisure Time Physical Activity for Iranian Male Adolescent. Iranian Red Crescent Medical Journal 2015;17(3) View
  16. Xie X, Wu H, Lee T, Wang C, Zhou X, Lu Y, Yuan Z, Maddock J. Gender Differences in Home Environments Related to Childhood Obesity in Nanchang, China. Childhood Obesity 2014;10(5):416 View
  17. Lau P, Lau E, Wang J, Choi C, Kim C. A Pilot Study of the Attractive Features of Active Videogames Among Chinese Primary School Children. Games for Health Journal 2017;6(2):87 View
  18. Habibzadeh N. The Effect of Long - Term Computer Use on Health- Related Physiological Perspectives. International Physiology Journal 2018;1(3):9 View
  19. Spitzer M. Über vermeintliche neue Erkenntnisse zu den Risiken und Nebenwirkungen digitaler Informationstechnik. Psychologische Rundschau 2015;66(2):114 View
  20. Hyska J, Mersini E, Mone I, Burazeri G. Prevalence and Demographic Correlates of Overweight and Obesity Among Children in a Transitional Southeastern European Population. Journal of Community Health 2014;39(5):828 View
  21. Canan F, Yildirim O, Ustunel T, Sinani G, Kaleli A, Gunes C, Ataoglu A. The Relationship Between Internet Addiction and Body Mass Index in Turkish Adolescents. Cyberpsychology, Behavior, and Social Networking 2014;17(1):40 View
  22. Christiansen C, Moore C, Schenkman M, Kluger B, Kohrt W, Delitto A, Berman B, Hall D, Josbeno D, Poon C, Robichaud J, Wellington T, Jain S, Comella C, Corcos D, Melanson E. Factors Associated With Ambulatory Activity in De Novo Parkinson Disease. Journal of Neurologic Physical Therapy 2017;41(2):93 View
  23. Yu B, Gu Y, Bao X, Meng G, Wu H, Zhang Q, Liu L, Sun S, Wang X, Zhou M, Jia Q, Song K, Niu K. Distinct associations of computer/mobile devices use and TV watching with depressive symptoms in adults: A large population study in China. Depression and Anxiety 2019;36(9):879 View
  24. Aghasi M, Matinfar A, Golzarand M, Salari-Moghaddam A, Ebrahimpour-Koujan S. Internet Use in Relation to Overweight and Obesity: A Systematic Review and Meta-Analysis of Cross-Sectional Studies. Advances in Nutrition 2019 View
  25. Park S, Lee Y. Associations of body weight perception and weight control behaviors with problematic internet use among Korean adolescents. Psychiatry Research 2017;251:275 View
  26. Li W, O’Brien J, Snyder S, Howard M, Weinstein A. Characteristics of Internet Addiction/Pathological Internet Use in U.S. University Students: A Qualitative-Method Investigation. PLOS ONE 2015;10(2):e0117372 View
  27. Kahan D. Prevalence and correlates of adult overweight in the Muslim world: analysis of 46 countries. Clinical Obesity 2015;5(2):87 View
  28. O’Brien J, Gewirtz-Meydan A, Mitchell K. Online Requests to Run Away: Prevalence from a Nationally Representative Sample of Youth. International Journal on Child Maltreatment: Research, Policy and Practice 2019;2(3):183 View
  29. De Cocker K, Duncan M, Short C, van Uffelen J, Vandelanotte C. Understanding occupational sitting: Prevalence, correlates and moderating effects in Australian employees. Preventive Medicine 2014;67:288 View
  30. O'Brien J, Li W, Snyder S, Howard M. Problem Internet Overuse Behaviors in College Students: Readiness-to-Change and Receptivity to Treatment. Journal of Evidence-Informed Social Work 2016;13(4):373 View
  31. Räihä T, Tossavainen K, Enkenberg J, Turunen H. Implementation of an ICT‐based learning environment in a nutrition health project. Health Education 2012;112(3):217 View
  32. Júdice P, Hamilton M, Sardinha L, Silva A. Randomized controlled pilot of an intervention to reduce and break-up overweight/obese adults’ overall sitting-time. Trials 2015;16(1) View
  33. Naeem F, Gire N, Xiang S, Yang M, Syed Y, Shokraneh F, Adams C, Farooq S. Reporting and understanding the safety and adverse effect profile of mobile apps for psychosocial interventions: An update. World Journal of Psychiatry 2016;6(2):187 View
  34. Park S. Associations of physical activity with sleep satisfaction, perceived stress, and problematic Internet use in Korean adolescents. BMC Public Health 2014;14(1) View
  35. Huang C, Yabiku S. Digital divide and body size disparities among Chinese adults. Demographic Research 2018;38:109 View
  36. Hodge C, Zabriskie R, Fellingham G, Coyne S, Lundberg N, Padilla-Walker L, Day R. The Relationship between Media in the Home and Family Functioning in Context of Leisure. Journal of Leisure Research 2012;44(3):285 View
  37. Huang C, Yabiku S, Kronenfeld J. The Effects of Household Technology on Body Mass Index among Chinese Adults. Population Research and Policy Review 2015;34(6):877 View
  38. Owen N, Healy G, Matthews C, Dunstan D. Too Much Sitting. Exercise and Sport Sciences Reviews 2010;38(3):105 View
  39. Räihä T, Tossavainen K, Enkenberg J, Turunen H. Pupils’ views on an ICT-based learning environment in health learning. Technology, Pedagogy and Education 2014;23(2):181 View
  40. Andrade-Gómez E, García-Esquinas E, Ortolá R, Martínez-Gómez D, Rodríguez-Artalejo F, Borras C. Watching TV has a distinct sociodemographic and lifestyle profile compared with other sedentary behaviors: A nationwide population-based study. PLOS ONE 2017;12(12):e0188836 View
  41. Yıldız İ, Yıldırım F. The relation between problematic Internet use and healthy lifestyle behaviours in high school students. Advances in School Mental Health Promotion 2012;5(2):93 View
  42. Throuvala M, Griffiths M, Rennoldson M, Kuss D. The Role of Recreational Online Activities in School-Based Screen Time Sedentary Behaviour Interventions for Adolescents: A Systematic and Critical Literature Review. International Journal of Mental Health and Addiction 2021;19(4):1065 View
  43. Liao Y, Shibata A, Ishii K, Oka K. Independent and Combined Associations of Physical Activity and Sedentary Behavior with Depressive Symptoms Among Japanese Adults. International Journal of Behavioral Medicine 2016;23(4):402 View
  44. Bouma A, van Wilgen P, Dijkstra A. The barrier-belief approach in the counseling of physical activity. Patient Education and Counseling 2015;98(2):129 View
  45. Kikuchi H, Inoue S, Fukushima N, Takamiya T, Odagiri Y, Ohya Y, Amagasa S, Oka K, Owen N. Social participation among older adults not engaged in full- or part-time work is associated with more physical activity and less sedentary time. Geriatrics & Gerontology International 2017;17(11):1921 View
  46. Burton N, Haynes M, van Uffelen J, Brown W, Turrell G. Mid-Aged Adults' Sitting Time in Three Contexts. American Journal of Preventive Medicine 2012;42(4):363 View
  47. Arora T, Hosseini-Araghi M, Bishop J, Yao G, Thomas G, Taheri S. The complexity of obesity in UK adolescents: relationships with quantity and type of technology, sleep duration and quality, academic performance and aspiration. Pediatric Obesity 2013;8(5):358 View
  48. Kennedy S. TechnoWellness: A New Wellness Construct in the 21st Century. Journal of Counselor Leadership and Advocacy 2014;1(2):113 View
  49. Matuska K, Bass J. Life Balance and Stress in Adults With Medical Conditions or Obesity. OTJR: Occupation, Participation and Health 2016;36(2):74 View
  50. Júdice P, Silva A, Magalhães J, Matias C, Sardinha L. Sedentary behaviour and adiposity in elite athletes. Journal of Sports Sciences 2014;32(19):1760 View
  51. Li W, Garland E, O’Brien J, Tronnier C, McGovern P, Anthony B, Howard M. Mindfulness-Oriented Recovery Enhancement for Video Game Addiction in Emerging Adults: Preliminary Findings from Case Reports. International Journal of Mental Health and Addiction 2018;16(4):928 View
  52. De Cocker K, Veldeman C, De Bacquer D, Braeckman L, Owen N, Cardon G, De Bourdeaudhuij I. Acceptability and feasibility of potential intervention strategies for influencing sedentary time at work: focus group interviews in executives and employees. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1) View
  53. Ishii K, Shibata A, Oka K. Association between recommended levels of physical activity and depressive symptoms among Japanese adults: A cross-sectional study. Mental Health and Physical Activity 2011;4(2):57 View
  54. Baroni S, Marazziti D, Mucci F, Diadema E, Dell’Osso L. Problematic Internet use in drugs addicts under treatment in public rehab centers. World Journal of Psychiatry 2019;9(3):55 View
  55. Ashe M, Michalowski V, Chudyk A, Gerstorf D, Madden K, Hoppmann C. Linked Lives: Exploring Gender and Sedentary Behaviors in Older Adult Couples. Journal of Applied Gerontology 2020;39(10):1106 View
  56. Li W, O’Brien J, Snyder S, Howard M, Weinstein A. Diagnostic Criteria for Problematic Internet Use among U.S. University Students: A Mixed-Methods Evaluation. PLOS ONE 2016;11(1):e0145981 View
  57. Prievara D. Iskoláskorúak problémás mértékű internethasználatának következményei és megelőzési lehetőségei. Magyar pedagógia 2016;116(2) View
  58. Liao Y, Shibata A, Ishii K, Koohsari M, Oka K. Cross-sectional and prospective associations of neighbourhood environmental attributes with screen time in Japanese middle-aged and older adults. BMJ Open 2018;8(3):e019608 View
  59. Pfirrmann D, Huber Y, Schattenberg J, Simon P. Web-Based Exercise as an Effective Complementary Treatment for Patients With Nonalcoholic Fatty Liver Disease: Intervention Study. Journal of Medical Internet Research 2019;21(1):e11250 View
  60. Wang L, Luo J, Luo J, Gao W, Kong J. The effect of Internet use on adolescents’ lifestyles: A national survey. Computers in Human Behavior 2012;28(6):2007 View
  61. Gill E, Goldenberg M, Starnes H, Phelan S. Outdoor adventure therapy to increase physical activity in young adult cancer survivors. Journal of Psychosocial Oncology 2016;34(3):184 View
  62. Varela C, Saldaña C. En_Línea. An online treatment to change lifestyle in overweight and obesity: study protocol for a randomized controlled trial. BMC Public Health 2019;19(1) View
  63. Thomée S, Lissner L, Hagberg M, Grimby-Ekman A. Leisure time computer use and overweight development in young adults – a prospective study. BMC Public Health 2015;15(1) View
  64. Whitacre B, Brooks L. Do broadband adoption rates impact a community's health?. Behaviour & Information Technology 2014;33(7):767 View
  65. Júdice P, Matias C, Santos D, Magalhães J, Hamilton M, Sardinha L, Silva A, Lucia A. Caffeine Intake, Short Bouts of Physical Activity, and Energy Expenditure: A Double-Blind Randomized Crossover Trial. PLoS ONE 2013;8(7):e68936 View
  66. Blumer M, Hertlein K, Smith J, Allen H. How Many Bytes Does It Take? A Content Analysis of Cyber Issues in Couple and Family Therapy Journals. Journal of Marital and Family Therapy 2014;40(1):34 View
  67. Alley S, Wellens P, Schoeppe S, de Vries H, Rebar A, Short C, Duncan M, Vandelanotte C. Impact of increasing social media use on sitting time and body mass index. Health Promotion Journal of Australia 2017;28(2):91 View
  68. Nicolson G, Hayes C, Darker C. Examining total and domain-specific sedentary behaviour using the socio-ecological model – a cross-sectional study of Irish adults. BMC Public Health 2019;19(1) View
  69. Delahunt J, Mische Lawson L. Relationships between adolescent body mass index, physical activity, and sensory-processing patterns. Canadian Journal of Occupational Therapy 2017;84(3):189 View
  70. Du H, Bennett D, Li L, Whitlock G, Guo Y, Collins R, Chen J, Bian Z, Hong L, Feng S, Chen X, Chen L, Zhou R, Mao E, Peto R, Chen Z. Physical activity and sedentary leisure time and their associations with BMI, waist circumference, and percentage body fat in 0.5 million adults: the China Kadoorie Biobank study. The American Journal of Clinical Nutrition 2013;97(3):487 View
  71. Van Dyck D, Cerin E, Conway T, De Bourdeaudhuij I, Owen N, Kerr J, Cardon G, Frank L, Saelens B, Sallis J. Associations between perceived neighborhood environmental attributes and adults’ sedentary behavior: Findings from the USA, Australia and Belgium. Social Science & Medicine 2012;74(9):1375 View
  72. Raptou E, Papastefanou G, Mattas K. Investigating the influence of eating habits, body weight and television programme preferences on television viewing time and domestic computer usage. Perspectives in Public Health 2017;137(1):59 View
  73. Duncan M, Vandelanotte C, Caperchione C, Hanley C, Mummery W. Temporal trends in and relationships between screen time, physical activity, overweight and obesity. BMC Public Health 2012;12(1) View
  74. Izzicupo P, Di Baldassarre A, Ghinassi B, Reichert F, Kokubun E, Nakamura F. Can Off-Training Physical Behaviors Influence Recovery in Athletes? A Scoping Review. Frontiers in Physiology 2019;10 View
  75. Shi Z, Rundle A, Genkinger J, Cheung Y, Ergas I, Roh J, Kushi L, Kwan M, Greenlee H. Distinct trajectories of moderate to vigorous physical activity and sedentary behavior following a breast cancer diagnosis: the Pathways Study. Journal of Cancer Survivorship 2020;14(3):393 View
  76. Gao L, Gan Y, Whittal A, Lippke S. Problematic Internet Use and Perceived Quality of Life: Findings from a Cross-Sectional Study Investigating Work-Time and Leisure-Time Internet Use. International Journal of Environmental Research and Public Health 2020;17(11):4056 View
  77. Faltýnková A, Blinka L, Ševčíková A, Husarova D. The Associations between Family-Related Factors and Excessive Internet Use in Adolescents. International Journal of Environmental Research and Public Health 2020;17(5):1754 View
  78. Wennman H, Vasankari T, Borodulin K. Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score. AIMS Public Health 2016;3(3):577 View
  79. Prievara D, Piko B, Luszczynska A. Problematic Internet Use, Social Needs, and Social Support Among Youth. International Journal of Mental Health and Addiction 2019;17(4):1008 View
  80. Gopalan A, Makelarski J, Garibay L, Escamilla V, Merchant R, Wolfe Sr M, Holbrook R, Lindau S. Health-Specific Information and Communication Technology Use and Its Relationship to Obesity in High-Poverty, Urban Communities: Analysis of a Population-Based Biosocial Survey. Journal of Medical Internet Research 2016;18(6):e182 View
  81. Mo P, Chan V, Wang X, Lau J. Gender difference in the association between internet addiction, self-esteem and academic aspirations among adolescents: A structural equation modelling. Computers & Education 2020;155:103921 View
  82. Martínez-Ramos E, Beltran A, Martín-Borràs C, Lasaosa-Medina L, Real J, Trujillo J, Solà-Gonfaus M, Puigdomenech E, Castillo-Ramos E, Puig-Ribera A, Giné-Garriga M, Serra-Paya N, Rodriguez-Roca B, Gascón-Catalán A, Martín-Cantera C, Tanaka S. Patterns of sedentary behavior in overweight and moderately obese users of the Catalan primary-health care system. PLOS ONE 2018;13(1):e0190750 View
  83. Knutson A, de Soysa I. Does social globalisation through access to information communication technologies drive obesity among youth? An empirical analysis, 1990–2013. Global Public Health 2019;14(12):1911 View
  84. Murphy H, Chen M. Online Information Sources Used in Hotel Bookings. Journal of Travel Research 2016;55(4):523 View
  85. Chaney R, Bernard A, Wilson B. Characterizing Active Transportation Behavior among College Students Using the Theory of Planned Behavior. International Quarterly of Community Health Education 2014;34(3):283 View
  86. Zheng Y, Wei D, Li J, Zhu T, Ning H. Internet Use and Its Impact on Individual Physical Health. IEEE Access 2016;4:5135 View
  87. Zhou R, Fong P, Tan P, Votruba S. Internet Use and Its Impact on Engagement in Leisure Activities in China. PLoS ONE 2014;9(2):e89598 View
  88. Kikuchi H, Inoue S, Sugiyama T, Owen N, Oka K, Nakaya T, Shimomitsu T. Distinct associations of different sedentary behaviors with health-related attributes among older adults. Preventive Medicine 2014;67:335 View
  89. Yin Z, Moore J, Johnson M, Vernon M, Gutin B. The Impact of a 3-Year After-School Obesity Prevention Program in Elementary School Children. Childhood Obesity 2012;8(1):60 View
  90. Trotter M, Coulter T, Davis P, Poulus D, Polman R. The Association between Esports Participation, Health and Physical Activity Behaviour. International Journal of Environmental Research and Public Health 2020;17(19):7329 View
  91. Lynch B. Sedentary Behavior and Cancer: A Systematic Review of the Literature and Proposed Biological Mechanisms. Cancer Epidemiology Biomarkers & Prevention 2010;19(11):2691 View
  92. Qiu Y, Xie Y, Chen L, Wang S, Yang H, Huang Z, Liu P, Mo B. Electronic Media Device Usage and Its Associations With BMI and Obesity in a Rapidly Developing City in South China. Frontiers in Public Health 2021;8 View
  93. Júdice P, Hetherington-Rauth M, Magalhães J, Correia I, Sardinha L. Sedentary behaviours and their relationship with body composition of athletes. European Journal of Sport Science 2021:1 View
  94. Chae M, Chung S. Clustering of South Korean Adolescents’ Health-Related Behaviors by Gender: Using a Latent Class Analysis. International Journal of Environmental Research and Public Health 2021;18(6):3129 View
  95. Rana J, Islam M, Oldroyd J, Samad N, Islam R. Sex Differences in the Association between Internet Usage and Overweight/Obesity: Evidence from a Nationally Representative Survey in Nepal. Sexes 2021;2(1):132 View
  96. Muange E, Ngigi M. Dietary quality and overnutrition among adults in Kenya: what role does ICT play?. Food Security 2021;13(4):1013 View
  97. Wilkinson K, Tucker L, Davidson L, Bailey B. Milk-Fat Intake and Differences in Abdominal Adiposity and BMI: Evidence Based on 13,544 Randomly-Selected Adults. Nutrients 2021;13(6):1832 View
  98. Woessner M, Tacey A, Levinger-Limor A, Parker A, Levinger P, Levinger I. The Evolution of Technology and Physical Inactivity: The Good, the Bad, and the Way Forward. Frontiers in Public Health 2021;9 View
  99. Dor-Haim H, Katzburg S, Revach P, Levine H, Barak S. The impact of COVID-19 lockdown on physical activity and weight gain among active adult population in Israel: a cross-sectional study. BMC Public Health 2021;21(1) View

Books/Policy Documents

  1. Bartenschlager A, Nürnberg V. Biotality-Index. View
  2. Walker E, Wolfe B. The ASMBS Textbook of Bariatric Surgery. View