Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 27.07.09 in Vol 11, No 3 (2009): Jul-Sep

This paper is in the following e-collection/theme issue:

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

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1084):

(note that this is only a small subset of citations)

  1. O’Donoghue G, Perchoux C, Mensah K, Lakerveld J, van der Ploeg H, Bernaards C, Chastin SFM, 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)
    CrossRef
  2. Jerome GJ, McAuley E. Physical activity levels among adult computer users. Computers in Human Behavior 2011;27(3):1207
    CrossRef
  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
    CrossRef
  4. Dario AB, Loureiro Ferreira M, Refshauge K, Luque-Suarez A, Ordoñana JR, Ferreira PH. 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
    CrossRef
  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
    CrossRef
  6. Kim D, Hou W, Wang F, Arcan C. Factors Affecting Obesity and Waist Circumference Among US Adults. Preventing Chronic Disease 2019;16
    CrossRef
  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)
    CrossRef
  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)
    CrossRef
  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
    CrossRef
  10. Júdice P, Silva A, Sardinha LB. Sedentary bout durations are associated with abdominal obesity in older adults. The Journal of nutrition, health and aging 2015;19(8):798
    CrossRef
  11. Rhodes RE, Mark RS, Temmel CP. Adult Sedentary Behavior. American Journal of Preventive Medicine 2012;42(3):e3
    CrossRef
  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
    CrossRef
  13. Prince SA, Reed JL, McFetridge C, Tremblay MS, Reid RD. Correlates of sedentary behaviour in adults: a systematic review. Obesity Reviews 2017;18(8):915
    CrossRef
  14. Fenner Y, Garland SM, Moore EE, Jayasinghe Y, Fletcher A, Tabrizi SN, Gunasekaran B, Wark JD. Web-Based Recruiting for Health Research Using a Social Networking Site: An Exploratory Study. Journal of Medical Internet Research 2012;14(1):e20
    CrossRef
  15. Abasi MH, Eslami AA, 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)
    CrossRef
  16. Xie X, Wu H, Lee T, Wang CM, Zhou X, Lu Y, Yuan Z, Maddock JE. Gender Differences in Home Environments Related to Childhood Obesity in Nanchang, China. Childhood Obesity 2014;10(5):416
    CrossRef
  17. Lau PW, Lau EY, Wang JJ, Choi C, Kim CG. A Pilot Study of the Attractive Features of Active Videogames Among Chinese Primary School Children. Games for Health Journal 2017;6(2):87
    CrossRef
  18. . The Effect of Long - Term Computer Use on Health- Related Physiological Perspectives. International Physiology Journal 2018;1(3):9
    CrossRef
  19. . Über vermeintliche neue Erkenntnisse zu den Risiken und Nebenwirkungen digitaler Informationstechnik. Psychologische Rundschau 2015;66(2):114
    CrossRef
  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
    CrossRef
  21. Canan F, Yildirim O, Ustunel TY, Sinani G, Kaleli AH, 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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 2020;11(2):349
    CrossRef
  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
    CrossRef
  26. Li W, O’Brien JE, Snyder SM, Howard MO, Weinstein AM. Characteristics of Internet Addiction/Pathological Internet Use in U.S. University Students: A Qualitative-Method Investigation. PLOS ONE 2015;10(2):e0117372
    CrossRef
  27. . Prevalence and correlates of adult overweight in the Muslim world: analysis of 46 countries. Clinical Obesity 2015;5(2):87
    CrossRef
  28. O’Brien JE, Gewirtz-Meydan A, Mitchell KJ. 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
    CrossRef
  29. De Cocker K, Duncan MJ, Short C, van Uffelen JG, Vandelanotte C. Understanding occupational sitting: Prevalence, correlates and moderating effects in Australian employees. Preventive Medicine 2014;67:288
    CrossRef
  30. O'Brien JE, Li W, Snyder SM, Howard MO. Problem Internet Overuse Behaviors in College Students: Readiness-to-Change and Receptivity to Treatment. Journal of Evidence-Informed Social Work 2016;13(4):373
    CrossRef
  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
    CrossRef
  32. Júdice PB, Hamilton MT, Sardinha LB, Silva AM. Randomized controlled pilot of an intervention to reduce and break-up overweight/obese adults’ overall sitting-time. Trials 2015;16(1)
    CrossRef
  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
    CrossRef
  34. . Associations of physical activity with sleep satisfaction, perceived stress, and problematic Internet use in Korean adolescents. BMC Public Health 2014;14(1)
    CrossRef
  35. Huang C, Yabiku ST. Digital divide and body size disparities among Chinese adults. Demographic Research 2018;38:109
    CrossRef
  36. Hodge CJ, Zabriskie RB, Fellingham G, Coyne S, Lundberg NR, Padilla-Walker LM, Day RD. The Relationship between Media in the Home and Family Functioning in Context of Leisure. Journal of Leisure Research 2012;44(3):285
    CrossRef
  37. Huang C, Yabiku ST, Kronenfeld JJ. The Effects of Household Technology on Body Mass Index among Chinese Adults. Population Research and Policy Review 2015;34(6):877
    CrossRef
  38. Owen N, Healy GN, Matthews CE, Dunstan DW. Too Much Sitting. Exercise and Sport Sciences Reviews 2010;38(3):105
    CrossRef
  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
    CrossRef
  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
    CrossRef
  41. Yıldız , 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
    CrossRef
  42. Throuvala MA, Griffiths MD, Rennoldson M, Kuss DJ. 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
    CrossRef
  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
    CrossRef
  44. Bouma AJ, van Wilgen P, Dijkstra A. The barrier-belief approach in the counseling of physical activity. Patient Education and Counseling 2015;98(2):129
    CrossRef
  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
    CrossRef
  46. Burton NW, Haynes M, van Uffelen JG, Brown WJ, Turrell G. Mid-Aged Adults' Sitting Time in Three Contexts. American Journal of Preventive Medicine 2012;42(4):363
    CrossRef
  47. Arora T, Hosseini‐Araghi M, Bishop J, Yao GL, Thomas GN, 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
    CrossRef
  48. . TechnoWellness: A New Wellness Construct in the 21st Century. Journal of Counselor Leadership and Advocacy 2014;1(2):113
    CrossRef
  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
    CrossRef
  50. Júdice PB, Silva AM, Magalhães JP, Matias CN, Sardinha LB. Sedentary behaviour and adiposity in elite athletes. Journal of Sports Sciences 2014;32(19):1760
    CrossRef
  51. Li W, Garland EL, O’Brien JE, Tronnier C, McGovern P, Anthony B, Howard MO. 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
    CrossRef
  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)
    CrossRef
  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
    CrossRef
  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
    CrossRef
  55. Ashe MC, Michalowski VI, Chudyk AM, Gerstorf D, Madden KM, Hoppmann CA. Linked Lives: Exploring Gender and Sedentary Behaviors in Older Adult Couples. Journal of Applied Gerontology 2020;39(10):1106
    CrossRef
  56. Li W, O’Brien JE, Snyder SM, Howard MO, Weinstein AM. Diagnostic Criteria for Problematic Internet Use among U.S. University Students: A Mixed-Methods Evaluation. PLOS ONE 2016;11(1):e0145981
    CrossRef
  57. . Iskoláskorúak problémás mértékű internethasználatának következményei és megelőzési lehetőségei. Magyar pedagógia 2016;116(2)
    CrossRef
  58. Liao Y, Shibata A, Ishii K, Koohsari MJ, 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
    CrossRef
  59. Pfirrmann D, Huber Y, Schattenberg JM, 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
    CrossRef
  60. Wang L, 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
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  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)
    CrossRef
  64. Whitacre B, Brooks L. Do broadband adoption rates impact a community's health?. Behaviour & Information Technology 2014;33(7):767
    CrossRef
  65. Júdice PB, Matias CN, Santos DA, Magalhães JP, Hamilton MT, Sardinha LB, Silva AM, Lucia A. Caffeine Intake, Short Bouts of Physical Activity, and Energy Expenditure: A Double-Blind Randomized Crossover Trial. PLoS ONE 2013;8(7):e68936
    CrossRef
  66. Blumer MLC, Hertlein KM, Smith JM, 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
    CrossRef
  67. Alley S, Wellens P, Schoeppe S, de Vries H, Rebar AL, Short CE, Duncan MJ, Vandelanotte C. Impact of increasing social media use on sitting time and body mass index. Health Promotion Journal of Australia 2017;28(2):91
    CrossRef
  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)
    CrossRef
  69. Delahunt JZ, Mische Lawson LA. Relationships between adolescent body mass index, physical activity, and sensory-processing patterns. Canadian Journal of Occupational Therapy 2017;84(3):189
    CrossRef
  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
    CrossRef
  71. Van Dyck D, Cerin E, Conway TL, De Bourdeaudhuij I, Owen N, Kerr J, Cardon G, Frank LD, Saelens BE, Sallis JF. Associations between perceived neighborhood environmental attributes and adults’ sedentary behavior: Findings from the USA, Australia and Belgium. Social Science & Medicine 2012;74(9):1375
    CrossRef
  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
    CrossRef
  73. Duncan MJ, Vandelanotte C, Caperchione C, Hanley C, Mummery WK. Temporal trends in and relationships between screen time, physical activity, overweight and obesity. BMC Public Health 2012;12(1)
    CrossRef
  74. Izzicupo P, Di Baldassarre A, Ghinassi B, Reichert FF, Kokubun E, Nakamura FY. Can Off-Training Physical Behaviors Influence Recovery in Athletes? A Scoping Review. Frontiers in Physiology 2019;10
    CrossRef
  75. Shi Z, Rundle A, Genkinger JM, Cheung YK, Ergas IJ, Roh JM, Kushi LH, Kwan ML, 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  79. Prievara DK, Piko BF, Luszczynska A. Problematic Internet Use, Social Needs, and Social Support Among Youth. International Journal of Mental Health and Addiction 2019;17(4):1008
    CrossRef
  80. Gopalan A, Makelarski JA, Garibay LB, Escamilla V, Merchant RM, Wolfe Sr MB, Holbrook R, Lindau ST. 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
    CrossRef
  81. Mo PK, Chan VW, Wang X, Lau JT. Gender difference in the association between internet addiction, self-esteem and academic aspirations among adolescents: A structural equation modelling. Computers & Education 2020;155:103921
    CrossRef
  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
    CrossRef
  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
    CrossRef
  84. Murphy HC, Chen M. Online Information Sources Used in Hotel Bookings. Journal of Travel Research 2016;55(4):523
    CrossRef
  85. Chaney RA, Bernard AL, Wilson BRA. Characterizing Active Transportation Behavior among College Students Using the Theory of Planned Behavior. International Quarterly of Community Health Education 2014;34(3):283
    CrossRef
  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
    CrossRef
  87. Zhou R, Fong PSW, Tan P, Votruba SB. Internet Use and Its Impact on Engagement in Leisure Activities in China. PLoS ONE 2014;9(2):e89598
    CrossRef
  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
    CrossRef
  89. Yin Z, Moore JB, Johnson MH, Vernon MM, Gutin B. The Impact of a 3-Year After-School Obesity Prevention Program in Elementary School Children. Childhood Obesity 2012;8(1):60
    CrossRef
  90. Trotter MG, Coulter TJ, Davis PA, Poulus DR, Polman R. The Association between Esports Participation, Health and Physical Activity Behaviour. International Journal of Environmental Research and Public Health 2020;17(19):7329
    CrossRef
  91. . Sedentary Behavior and Cancer: A Systematic Review of the Literature and Proposed Biological Mechanisms. Cancer Epidemiology, Biomarkers & Prevention 2010;19(11):2691
    CrossRef
  92. Qiu Y, Xie YJ, Chen L, Wang SL, 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
    CrossRef
  93. Júdice PB, Hetherington‐Rauth M, Magalhães JP, Correia IR, Sardinha LB. Sedentary behaviours and their relationship with body composition of athletes. European Journal of Sport Science 2022;22(3):474
    CrossRef
  94. Chae M, Chung SJ. 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
    CrossRef
  95. Rana J, Islam MM, 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
    CrossRef
  96. Muange EN, Ngigi MW. Dietary quality and overnutrition among adults in Kenya: what role does ICT play?. Food Security 2021;13(4):1013
    CrossRef
  97. Wilkinson KR, Tucker LA, Davidson LE, Bailey BW. Milk-Fat Intake and Differences in Abdominal Adiposity and BMI: Evidence Based on 13,544 Randomly-Selected Adults. Nutrients 2021;13(6):1832
    CrossRef
  98. Woessner MN, Tacey A, Levinger-Limor A, Parker AG, 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
    CrossRef
  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)
    CrossRef
  100. Liu Q, Li X. The Interactions of Media Use, Obesity, and Suboptimal Health Status: A Nationwide Time-Trend Study in China. International Journal of Environmental Research and Public Health 2021;18(24):13214
    CrossRef
  101. . The Nexus between Pollution and Obesity and the Magnifying Role of Media Consumption: International Evidence from GMM Systems Estimates. International Journal of Environmental Research and Public Health 2022;19(16):10260
    CrossRef
  102. Lin B, Teo EW, Yan T. The Impact of Smartphone Addiction on Chinese University Students’ Physical Activity: Exploring the Role of Motivation and Self-Efficacy. Psychology Research and Behavior Management 2022;Volume 15:2273
    CrossRef
  103. Schmidt SCE, Burchartz A, Kolb S, Niessner C, Oriwol D, Woll A. Influence of socioeconomic variables on physical activity and screen time of children and adolescents during the COVID‑19 lockdown in Germany: the MoMo study. German Journal of Exercise and Sport Research 2022;52(3):362
    CrossRef
  104. Raptou E, Papastefanou G. Analyzing the Influence of Wine and Beer Drinking, Smoking, and Leisure Time Screen Viewing Activity on Body Weight: A Cross-Sectional Study in Germany. Nutrients 2021;13(10):3553
    CrossRef
  105. Huang P, Chen J, Potenza MN, Griffiths MD, Pakpour AH, Chen J, Lin Y, Hung C, O'Brien KS, Lin C. Temporal associations between physical activity and three types of problematic use of the internet: A six-month longitudinal study. Journal of Behavioral Addictions 2022;11(4):1055
    CrossRef
  106. Akbar F, Ahsan S, Andleeb SN, Khan S. Mediating Role of Family Relations between Internet Addiction and Aggression Among University Students. Pakistan Journal of Psychological Research 2022;37(3):417
    CrossRef
  107. Mei Y, Lin N. Internet Use and the Happiness of Rural Residents: The Role of Education and Health. International Journal of Environmental Research and Public Health 2023;20(4):3540
    CrossRef
  108. Zhong H, Xu H, Guo E, Li J, Wang Z. Can internet use change sport participation behavior among residents? Evidence from the 2017 Chinese General Social Survey. Frontiers in Public Health 2022;10
    CrossRef
  109. Bácsné Bába , Müller A, Pfau C, Balogh R, Bartha , Szabados G, Bács Z, Ráthonyi-Ódor K, Ráthonyi G. Sedentary Behavior Patterns of the Hungarian Adult Population. International Journal of Environmental Research and Public Health 2023;20(3):2702
    CrossRef
  110. Nayak M, Wills K, Teychenne M, Cleland V. Patterns and Predictors of Television Viewing and Computer Use Among Women Living in Socioeconomically Disadvantaged Neighborhoods: A Prospective Cohort Study. Journal of Physical Activity and Health 2021;18(12):1511
    CrossRef
  111. Wang H, Yang Y, You Q, Wang Y, Wang R. Impacts of Physical Exercise and Media Use on the Physical and Mental Health of People with Obesity: Based on the CGSS 2017 Survey. Healthcare 2022;10(9):1740
    CrossRef
  112. Maltagliati S, Sarrazin P, Isoard-Gautheur S, Rhodes RE, Boisgontier MP, Cheval B. I Sit but I Don’t Know Why: Investigating the Multiple Precursors of Leisure-Time Sedentary Behaviors. Research Quarterly for Exercise and Sport 2022;93(3):548
    CrossRef
  113. Paydar M, Arangua Calzado J, Kamani Fard A. Walking Behavior in Temuco, Chile: The Contribution of Built Environment and Socio-Demographic Factors. Behavioral Sciences 2022;12(5):133
    CrossRef
  114. Apostolakis NI, Antoniou P, Karipidis A, Anastasiades P. Divergent Movement Ability and Digital learning environments. International Journal for Innovation Education and Research 2016;4(12):215
    CrossRef
  115. Vidiasratri AR, Bath PA. Association between Internet Usage and Quality of Life of Elderly People in England: Evidence from the English Longitudinal Study of Ageing (ELSA). International Journal of Environmental Research and Public Health 2022;19(23):15544
    CrossRef
  116. Pape M, Herpertz S, Schroeder S, Seiferth C, Färber T, Wolstein J, Steins-Loeber S. Food Addiction and Its Relationship to Weight- and Addiction-Related Psychological Parameters in Individuals With Overweight and Obesity. Frontiers in Psychology 2021;12
    CrossRef
  117. Le Thanh H, Phuc HN, Xuan NP, Dinh BH. Influences of Digital Transformation on Life Expectancy and the Gender Gap in European Countries. International Journal of Electronic Government Research 2022;18(2):1
    CrossRef
  118. Wang Y, Xu J, Xie T. The Association of Internet Use Intensity and Lifestyle Behaviors During the COVID-19 Pandemic: A Cross-Sectional Study in Chinese Adults. Frontiers in Public Health 2022;10
    CrossRef
  119. Yıldırım Şimşek K, Çevik H. The development and validation of the Leisure Internet Usage Scale (LIUS). Leisure Studies 2024;43(1):76
    CrossRef
  120. Wei W, Liu H, Cheng B, Qin X, He D, Zhang N, Zhao Y, Cai Q, Shi S, Chu X, Wen Y, Jia Y, Zhang F. Association between electronic device use and health status among a middle-aged and elderly population: a cross-sectional analysis in the UK Biobank. Journal of Public Health 2023;
    CrossRef
  121. Júdice PB, Silva H, Teno SC, Monteiro P, Silva MN, Carraça EV, Santos I, Pereira S, Luz F, Viegas PC, Oliveira J, Santos IF, Palmeira AL. Providing office workers with height-adjustable workstation to reduce and interrupt workplace sitting time: protocol for the Stand Up for Healthy Aging (SUFHA) cluster randomized controlled trial. Trials 2023;24(1)
    CrossRef
  122. Zou Y, Huang L, He M, Zhao D, Su D, Zhang R. Sedentary Activities and Food Intake among Children and Adolescents in the Zhejiang Province of China: A Cross-Sectional Study. Nutrients 2023;15(17):3745
    CrossRef
  123. Azizi M, Abbasi B, Aghaei H. Relationship between Internet addiction and body mass index and the predictive role of emotion dysregulation. Frontiers in Psychology 2024;14
    CrossRef
  124. Wu L, Deng H, Hu J, Niu Q, Liang X. Using cell phone usage data to explore the spatial distribution of virtual leisure and the impact on reality leisure. Leisure Studies 2024;:1
    CrossRef
  125. . XYZ Kuşaklarında Boş Zaman İnternet Kullanımı Alışkanlıkları. GSI Journals Serie A: Advancements in Tourism Recreation and Sports Sciences 2024;7(1):301
    CrossRef
  126. Khanum F, Khan AR, Khan A, Aafreen A, Khan AA, Ahmad A, Akhtar SMF, Farooq O, Shaphe MA, Alshehri MM, Shahi FI, Alqahtani AS, Albakri A, Obaidat SM. Predicting mechanical neck pain intensity in computer professionals using machine learning: identification and correlation of key features. Frontiers in Public Health 2024;12
    CrossRef
  127. Wang J, Xu X, Wu Q, Zhou C, Yang G. The mediating effect of subject well-being between physical activity and the internet addiction of college students in China during the COVID-19 pandemic: a cross-sectional study. Frontiers in Public Health 2024;12
    CrossRef
  128. Jeong S, Jung J, Yang YS, Kim W, Cho IY, Lee Y, Park K, Nam GE, Han K. 2023 Obesity Fact Sheet: Prevalence of Obesity and Abdominal Obesity in Adults, Adolescents, and Children in Korea from 2012 to 2021. Journal of Obesity & Metabolic Syndrome 2024;33(1):27
    CrossRef
  129. Deng Z, Liu J, Hong Y, Liu W. The effect of Internet use on nutritional intake and health outcomes: new evidence from rural China. Frontiers in Nutrition 2024;11
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1084):

  1. Bartenschlager A, Nürnberg V. Biotality-Index. 2019. Chapter 3:25
    CrossRef
  2. Walker E, Wolfe BM. The ASMBS Textbook of Bariatric Surgery. 2020. Chapter 54:595
    CrossRef
  3. Flannery JS, Maza MT, Kilic Z, Telzer EH. Developmental Cascades. 2023. :255
    CrossRef
  4. . Exergaming Intervention for Children, Adolescents, and Elderly People. 2023. chapter 12:165
    CrossRef