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Citing this Article

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Published on 17.03.11 in Vol 13, No 1 (2011): Jan-Mar

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

Works citing "Social Cognitive Determinants of Nutrition and Physical Activity Among Web-Health Users Enrolling in an Online Intervention: The Influence of Social Support, Self-Efficacy, Outcome Expectations, and Self-Regulation"

Eileen Smith Anderson-Bill, Richard A. Winett, Janet R. Wojcik

J Med Internet Res 2011 (Mar 17); 13(1):e28 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1551):

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

  1. Ko LK, Rodriguez E, Yoon J, Ravindran R, Copeland WK. A Brief Community-Based Nutrition Education Intervention Combined With Food Baskets Can Increase Fruit and Vegetable Consumption Among Low-Income Latinos. Journal of Nutrition Education and Behavior 2016;48(9):609
    CrossRef
  2. Fassier P, Chhim A, Andreeva VA, Hercberg S, Latino-Martel P, Pouchieu C, Touvier M. Seeking health- and nutrition-related information on the Internet in a large population of French adults: results of the NutriNet-Santé study. British Journal of Nutrition 2016;115(11):2039
    CrossRef
  3. Lynch SM, Stricker CT, Brown JC, Berardi JM, Vaughn D, Domchek S, Filseth S, Branas A, Weiss‐Trainor E, Schmitz KH, Sarwer DB. Evaluation of a web‐based weight loss intervention in overweight cancer survivors aged 50 years and younger. Obesity Science & Practice 2017;3(1):83
    CrossRef
  4. Turner-McGrievy G, Kalyanaraman S, Campbell MK. Delivering Health Information via Podcast or Web: Media Effects on Psychosocial and Physiological Responses. Health Communication 2013;28(2):101
    CrossRef
  5. Nansel TR, Haynie DL, Lipsky LM, Wang J, Mehta SN, Laffel LM. Relationships among parent and youth healthful eating attitudes and youth dietary intake in a cross-sectional study of youth with type 1 diabetes. International Journal of Behavioral Nutrition and Physical Activity 2013;10(1):125
    CrossRef
  6. Willis LE, Knobloch-Westerwick S. Weighing Women Down: Messages on Weight Loss and Body Shaping in Editorial Content in Popular Women's Health and Fitness Magazines. Health Communication 2014;29(4):323
    CrossRef
  7. Chou T, Bry LJ, Comer JS. Multimedia Field Test: Evaluating the Creative Ambitions of SuperBetter and Its Quest to Gamify Mental Health. Cognitive and Behavioral Practice 2017;24(1):115
    CrossRef
  8. Paech J, Luszczynska A, Lippke S. A Rolling Stone Gathers No Moss–The Long Way from Good Intentions to Physical Activity Mediated by Planning, Social Support, and Self-Regulation. Frontiers in Psychology 2016;7
    CrossRef
  9. Jiang S, Street RL. Pathway Linking Internet Health Information Seeking to Better Health: A Moderated Mediation Study. Health Communication 2017;32(8):1024
    CrossRef
  10. Rivas R, Sadah SA, Guo Y, Hristidis V. Classification of Health-Related Social Media Posts: Evaluation of Post Content–Classifier Models and Analysis of User Demographics. JMIR Public Health and Surveillance 2020;6(2):e14952
    CrossRef
  11. Young MD, Plotnikoff RC, Collins CE, Callister R, Morgan PJ. A Test of Social Cognitive Theory to Explain Men’s Physical Activity During a Gender-Tailored Weight Loss Program. American Journal of Men's Health 2016;10(6):NP176
    CrossRef
  12. Eisenberg MH, Lipsky LM, Gee B, Liu A, Nansel TR. Parent healthful eating attitudes and motivation are prospectively associated with dietary quality among youth with type 1 diabetes. Vulnerable Children and Youth Studies 2017;12(3):226
    CrossRef
  13. Hsu H, Kuo T, Lin J, Hsu W, Yu C, Chen Y, Xie W, Hsu W, Hsu Y, Yu M. A Cross-Disciplinary Successful Aging Intervention and Evaluation: Comparison of Person-to-Person and Digital-Assisted Approaches. International Journal of Environmental Research and Public Health 2018;15(5):913
    CrossRef
  14. Imanaka M, Ando M, Kitamura T, Kawamura T. Effectiveness of Web-Based Self-Disclosure Peer-to-Peer Support for Weight Loss: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(7):e136
    CrossRef
  15. Simpson SA, Matthews L, Pugmire J, McConnachie A, McIntosh E, Coulman E, Hughes K, Kelson M, Morgan-Trimmer S, Murphy S, Utkina-Macaskill O, Moore L. An app-, web- and social support-based weight loss intervention for adults with obesity: the HelpMeDoIt! feasibility RCT. Public Health Research 2020;8(3):1
    CrossRef
  16. Didem EE, Filiz E, Orhan O, Gulnur S, Erdal B. Local decision makers’ awareness of the social determinants of health in Turkey: a cross-sectional study. BMC Public Health 2012;12(1)
    CrossRef
  17. Zhou X, Krishnan A. What Predicts Exercise Maintenance and Well-Being? Examining The Influence of Health-Related Psychographic Factors and Social Media Communication. Health Communication 2019;34(6):589
    CrossRef
  18. O'Brien T, Jenkins C, Amella E, Mueller M, Moore M, Hathaway D. An Internet-Assisted Weight Loss Intervention for Older Overweight and Obese Rural Women. CIN: Computers, Informatics, Nursing 2016;34(11):513
    CrossRef
  19. Tafurt-Cardona Y, Jaramillo-Ruiz LD, Muñoz-Ordoñez W, Muñoz-Benítez SL, Sierra-Torres CH. Mayor frecuencia de aberraciones cromosómicas en linfocitos expuestos o no a mitomicina C, de mujeres post-menopáusicas obesas en comparación con mujeres no obesas del departamento del Cauca, Colombia. Biomédica 2012;32(3)
    CrossRef
  20. Blonstein AC, Lv N, Camargo CA, Wilson SR, Buist AS, Rosas LG, Strub P, Ma J. Acceptability and feasibility of the ‘DASH for Asthma’ intervention in a randomized controlled trial pilot study. Public Health Nutrition 2016;19(11):2049
    CrossRef
  21. Barrett E, Gillespie P, Newell J, Casey D. Feasibility of a physical activity programme embedded into the daily lives of older adults living in nursing homes: protocol for a randomised controlled pilot feasibility study. Trials 2018;19(1)
    CrossRef
  22. Kim SR, Kim JY, Kim HY, Nho J, Kim YH, Min S. Factors related to malnutrition in community‐dwelling patients with schizophrenia. Perspectives in Psychiatric Care 2019;55(3):415
    CrossRef
  23. Grant F, Hogg MA, Crano WD. Yes, we can: physical activity and group identification among healthy adults. Journal of Applied Social Psychology 2015;45(7):383
    CrossRef
  24. van Genugten L, van Empelen P, Boon B, Borsboom G, Visscher T, Oenema A. Results from an Online Computer-Tailored Weight Management Intervention for Overweight Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(2):e44
    CrossRef
  25. Bania TA, Dodd KJ, Baker RJ, Graham HK, Taylor NF. The effects of progressive resistance training on daily physical activity in young people with cerebral palsy: a randomised controlled trial. Disability and Rehabilitation 2016;38(7):620
    CrossRef
  26. Linke SE, Robinson CJ, Pekmezi D. Applying Psychological Theories to Promote Healthy Lifestyles. American Journal of Lifestyle Medicine 2014;8(1):4
    CrossRef
  27. Springvloet L, Lechner L, de Vries H, Candel MJ, Oenema A. Short- and Medium-Term Efficacy of a Web-Based Computer-Tailored Nutrition Education Intervention for Adults Including Cognitive and Environmental Feedback: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(1):e23
    CrossRef
  28. Webber-Ritchey KJ, Taylor-Piliae RE, Loescher LJ. Physical Activity in Parents of Young African American Children: The Application of Social Cognitive Theory. Research and Theory for Nursing Practice 2018;32(1):63
    CrossRef
  29. Fetter DS, Dharmar M, Lawry-Hall S, Pressman J, Chapman J, Scherr RE. The Influence of Gain-Framed and Loss-Framed Health Messages on Nutrition and Physical Activity Knowledge. Global Pediatric Health 2019;6:2333794X1985740
    CrossRef
  30. Shin C, Belyea M. Psychosocial Factors and Dietary Practices in Korean Americans. Clinical Nursing Research 2019;28(3):374
    CrossRef
  31. Dennison RA, Feldman AL, Usher-Smith JA, Griffin SJ. The association between psychosocial factors and change in lifestyle behaviour following lifestyle advice and information about cardiovascular disease risk. BMC Public Health 2018;18(1)
    CrossRef
  32. Paech J, Lippke S. Put two (and two) together to make the most of physical activity and healthy nutrition – A longitudinal online study examining cross-behavioural mechanisms in multiple health behaviour change. Research in Sports Medicine 2017;25(3):357
    CrossRef
  33. Vandelanotte C, Kirwan M, Rebar A, Alley S, Short C, Fallon L, Buzza G, Schoeppe S, Maher C, Duncan MJ. Examining the use of evidence-based and social media supported tools in freely accessible physical activity intervention websites. International Journal of Behavioral Nutrition and Physical Activity 2014;11(1)
    CrossRef
  34. Kaipainen K, Payne CR, Wansink B. Mindless Eating Challenge: Retention, Weight Outcomes, and Barriers for Changes in a Public Web-Based Healthy Eating and Weight Loss Program. Journal of Medical Internet Research 2012;14(6):e168
    CrossRef
  35. King AC, Campero I, Sheats JL, Castro Sweet CM, Garcia D, Chazaro A, Blanco G, Hauser M, Fierros F, Ahn DK, Diaz J, Done M, Fernandez J, Bickmore T. Testing the comparative effects of physical activity advice by humans vs. computers in underserved populations: The COMPASS trial design, methods, and baseline characteristics. Contemporary Clinical Trials 2017;61:115
    CrossRef
  36. Stacey FG, James EL, Chapman K, Courneya KS, Lubans DR. A systematic review and meta-analysis of social cognitive theory-based physical activity and/or nutrition behavior change interventions for cancer survivors. Journal of Cancer Survivorship 2015;9(2):305
    CrossRef
  37. Hardin-Fanning F, Ricks JM. Attitudes, social norms and perceived behavioral control factors influencing participation in a cooking skills program in rural Central Appalachia. Global Health Promotion 2017;24(4):43
    CrossRef
  38. Mieziene B, Emeljanovas A, Novak D, Kawachi I. The Relationship between Social Capital within Its Different Contexts and Adherence to a Mediterranean Diet Among Lithuanian Adolescents. Nutrients 2019;11(6):1332
    CrossRef
  39. López D, Pardo A, Salvador G, González A, Román B, García J, Violán M, Cabezas C. Cumplimiento de la dieta mediterránea y nivel de actividad física de los usuarios de la web PAFES (Plan de Actividad Física, Deporte y Salud). Revista Española de Nutrición Humana y Dietética 2012;16(4):123
    CrossRef
  40. Young MD, Plotnikoff RC, Collins CE, Callister R, Morgan PJ. Social cognitive theory and physical activity: a systematic review and meta‐analysis. Obesity Reviews 2014;15(12):983
    CrossRef
  41. Cassimatis M, Kavanagh DJ, Hills AP, Smith AC, Scuffham PA, Gericke C, Parham S. The OnTrack Diabetes Web-Based Program for Type 2 Diabetes and Dysphoria Self-Management: A Randomized Controlled Trial Protocol. JMIR Research Protocols 2015;4(3):e97
    CrossRef
  42. Dewar DL, Plotnikoff RC, Morgan PJ, Okely AD, Costigan SA, Lubans DR. Testing Social-Cognitive Theory to Explain Physical Activity Change in Adolescent Girls From Low-Income Communities. Research Quarterly for Exercise and Sport 2013;84(4):483
    CrossRef
  43. Peels DA, Bolman C, Golsteijn RHJ, De Vries H, Mudde AN, van Stralen MM, Lechner L. Differences in Reach and Attrition Between Web-Based and Print-Delivered Tailored Interventions Among Adults over 50 Years of Age: Clustered Randomized Trial. Journal of Medical Internet Research 2012;14(6):e179
    CrossRef
  44. Hartman SJ, Dunsiger SI, Bock BC, Larsen BA, Linke S, Pekmezi D, Marquez B, Gans KM, Mendoza-Vasconez AS, Marcus BH. Physical activity maintenance among Spanish-speaking Latinas in a randomized controlled trial of an Internet-based intervention. Journal of Behavioral Medicine 2017;40(3):392
    CrossRef
  45. Rosenkranz RR, Geller KS, Duncan MJ, Caperchione CM, Vandelanotte C, Maeder AJ, Savage TN, Van Itallie A, Kolt GS. Validity and reliability of measures assessing social-cognitive determinants of physical activity in low-active Australian adults. Measurement in Physical Education and Exercise Science 2018;22(4):322
    CrossRef
  46. Wang T, Ren M, Shen Y, Zhu X, Zhang X, Gao M, Chen X, Zhao A, Shi Y, Chai W, Liu X, Sun X. The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects. JMIR mHealth and uHealth 2019;7(9):e12606
    CrossRef
  47. Beatty TK, Nanney MS, Tuttle C. Time to eat? The relationship between food security and food-related time use. Public Health Nutrition 2014;17(1):66
    CrossRef
  48. Peng C, Wu T, Chen Y, Atkin DJ. Comparing and modeling via social media: The social influences of fitspiration on male instagram users’ work out intention. Computers in Human Behavior 2019;99:156
    CrossRef
  49. Vandelanotte C, Kolt GS, Caperchione CM, Savage TN, Rosenkranz RR, Maeder AJ, Van Itallie A, Tague R, Oldmeadow C, Mummery WK, Duncan MJ. Effectiveness of a Web 2.0 Intervention to Increase Physical Activity in Real-World Settings: Randomized Ecological Trial. Journal of Medical Internet Research 2017;19(11):e390
    CrossRef
  50. Greaney ML, Puleo E, Sprunck-Harrild K, Haines J, Houghton SC, Emmons KM. Social Support for Changing Multiple Behaviors: Factors Associated With Seeking Support and the Impact of Offered Support. Health Education & Behavior 2018;45(2):198
    CrossRef
  51. McCully SN, Don BP, Updegraff JA. Using the Internet to Help With Diet, Weight, and Physical Activity: Results From the Health Information National Trends Survey (HINTS). Journal of Medical Internet Research 2013;15(8):e148
    CrossRef
  52. Oyibo K, Vassileva J. Investigation of the moderating effect of race-based personalization of behavior model design in fitness application. SN Applied Sciences 2019;1(9)
    CrossRef
  53. Silveira P, van de Langenberg R, van het Reve E, Daniel F, Casati F, de Bruin ED. Tablet-Based Strength-Balance Training to Motivate and Improve Adherence to Exercise in Independently Living Older People: A Phase II Preclinical Exploratory Trial. Journal of Medical Internet Research 2013;15(8):e159
    CrossRef
  54. Sadah SA, Shahbazi M, Wiley MT, Hristidis V. Demographic-Based Content Analysis of Web-Based Health-Related Social Media. Journal of Medical Internet Research 2016;18(6):e148
    CrossRef
  55. Lubans DR, Plotnikoff RC, Morgan PJ, Dewar D, Costigan S, Collins CE. Explaining dietary intake in adolescent girls from disadvantaged secondary schools. A test of Social Cognitive Theory. Appetite 2012;58(2):517
    CrossRef
  56. Plotnikoff R, Morgan PJ, Lubans DR, Rhodes R, Costigan SA. The Intersect of Theory, Methods, and Translation in Guiding Interventions for the Promotion of Physical Activity: A Case Example of a Research Programme. Australian Psychologist 2014;49(2):110
    CrossRef
  57. Prestwich A, Conner MT, Lawton RJ, Ward JK, Ayres K, McEachan RRC. Partner‐ and planning‐based interventions to reduce fat consumption: Randomized controlled trial. British Journal of Health Psychology 2014;19(1):132
    CrossRef
  58. Ungar N, Wiskemann J, Weißmann M, Knoll A, Steindorf K, Sieverding M. Social support and social control in the context of cancer patients’ exercise: A pilot study. Health Psychology Open 2016;3(2):205510291668099
    CrossRef
  59. Cox-Martin E, Cox MG, Basen-Engquist K, Bradley C, Blalock JA. Changing multiple health behaviors in cancer survivors: smoking and exercise. Psychology, Health & Medicine 2020;25(3):331
    CrossRef
  60. Monroe CM, Bassett DR, Fitzhugh EC, Raynor HA, Thompson DL. Effect of Adding Online Social Support Tools to an Adult Walking Program. Health Promotion Practice 2017;18(1):84
    CrossRef
  61. Robbins LB, Wen F, Ling J. Mediators of Physical Activity Behavior Change in the “Girls on the Move” Intervention. Nursing Research 2019;68(4):257
    CrossRef
  62. Paech J, Fleig L, Pomp S, Lippke S. Soziale Unterstützung als Wegbereiter für Planungsprozesse. Zeitschrift für Gesundheitspsychologie 2014;22(2):39
    CrossRef
  63. Rahmati Najarkolaei F, Tavafian SS, Gholami Fesharaki M, Jafari MR. Factors Predicting Nutrition and Physical Activity Behaviors Due to Cardiovascular Disease in Tehran University Students: Application of Health Belief Model. Iranian Red Crescent Medical Journal 2015;17(3)
    CrossRef
  64. Jo G, Rossow-Kimball B, Lee Y. Effects of 12-week combined exercise program on self-efficacy, physical activity level, and health related physical fitness of adults with intellectual disability. Journal of Exercise Rehabilitation 2018;14(2):175
    CrossRef
  65. Plotnikoff RC, Costigan SA, Karunamuni N, Lubans DR. Social cognitive theories used to explain physical activity behavior in adolescents: A systematic review and meta-analysis. Preventive Medicine 2013;56(5):245
    CrossRef
  66. van Genugten L, van Empelen P, Oenema A. Intervention Use and Action Planning in a Web-Based Computer-Tailored Weight Management Program for Overweight Adults: Randomized Controlled Trial. JMIR Research Protocols 2014;3(3):e31
    CrossRef
  67. Horton SEB, Timmerman GM, Brown A. Factors influencing dietary fat intake among black emerging adults. Journal of American College Health 2018;66(3):155
    CrossRef
  68. Ferrante JM, Devine KA, Bator A, Rodgers A, Ohman-Strickland PA, Bandera EV, Hwang KO. Feasibility and potential efficacy of commercial mHealth/eHealth tools for weight loss in African American breast cancer survivors: pilot randomized controlled trial. Translational Behavioral Medicine 2020;10(4):938
    CrossRef
  69. LaBrie JW, de Rutte JL, Boyle SC, Tan CN, Earle AM. Leveraging copresence to increase the effectiveness of gamified personalized normative feedback. Addictive Behaviors 2019;99:106085
    CrossRef
  70. . Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544
    CrossRef
  71. Quick V, Martin-Biggers J, Povis GA, Worobey J, Hongu N, Byrd-Bredbenner C. Long-term follow-up effects of the HomeStyles randomized controlled trial in families with preschool children on social cognitive theory constructs associated with physical activity cognitions and behaviors. Contemporary Clinical Trials 2018;68:79
    CrossRef
  72. Lee J, Hoornbeek J, Oh N. Social Cognitive Orientations, Social Support, and Physical Activity among at-Risk Urban Children: Insights from a Structural Equation Model. International Journal of Environmental Research and Public Health 2020;17(18):6745
    CrossRef
  73. Soto SH, Callahan LF, Bahorski S, Altpeter M, Hales DP, Phillips A, Carthron D, Rini C. The Role of Cohabitating Partner and Relationship Characteristics on Physical Activity among Individuals with Osteoarthritis. International Journal of Behavioral Medicine 2019;26(5):522
    CrossRef
  74. Kim BH, Wallington SF, Makambi KH, Adams-Campbell LL. Social Networks and Physical Activity Behaviors Among Cancer Survivors: Data From the 2005 Health Information National Trends Survey. Journal of Health Communication 2015;20(6):656
    CrossRef
  75. Zhen-Duan J, Engebretsen B, Laroche HH. Diet and physical activity changes among low-income families: perspectives of mothers and their children. International Journal of Qualitative Studies on Health and Well-being 2019;14(1)
    CrossRef
  76. Falomir Z, Arregui M, Madueño F, Corella D, Coltell . Automation of Food Questionnaires in Medical Studies: A state-of-the-art review and future prospects. Computers in Biology and Medicine 2012;42(10):964
    CrossRef
  77. Nho J, Kim SR, Kwon YS. Depression and appetite: predictors of malnutrition in gynecologic cancer. Supportive Care in Cancer 2014;22(11):3081
    CrossRef
  78. Eisenberg MH, Lipsky LM, Dempster KW, Liu A, Nansel TR. I Should but I Can't: Controlled Motivation and Self-Efficacy Are Related to Disordered Eating Behaviors in Adolescents With Type 1 Diabetes. Journal of Adolescent Health 2016;59(5):537
    CrossRef
  79. Nour M, Chen J, Allman-Farinelli M. Young Adults’ Engagement With a Self-Monitoring App for Vegetable Intake and the Impact of Social Media and Gamification: Feasibility Study. JMIR Formative Research 2019;3(2):e13324
    CrossRef
  80. Cho RY, Weng J, Lynch K, Ng P, Brown C, Hoens AM, Barry K, Brunham LR, Pimstone S. Priorities for Services in Young Patients With Atherosclerotic Cardiovascular Disease and Their Family Members: An Exploratory Mixed-Methods Study. CJC Open 2019;1(3):107
    CrossRef
  81. Oh HJ, Lauckner C, Boehmer J, Fewins-Bliss R, Li K. Facebooking for health: An examination into the solicitation and effects of health-related social support on social networking sites. Computers in Human Behavior 2013;29(5):2072
    CrossRef
  82. Kerrigan SG, Clark M, Convertino A, Forman EM, Butryn ML. The association between previous success with weight loss through dietary change and success in a lifestyle modification program. Journal of Behavioral Medicine 2018;41(2):152
    CrossRef
  83. Morgan PJ, Scott HA, Young MD, Plotnikoff RC, Collins CE, Callister R. Associations between program outcomes and adherence to Social Cognitive Theory tasks: process evaluation of the SHED-IT community weight loss trial for men. International Journal of Behavioral Nutrition and Physical Activity 2014;11(1)
    CrossRef
  84. Sun P, Huang H, Chu F. Factors instead of demographic characteristics related to nutrition label use. British Food Journal 2015;117(12):3024
    CrossRef
  85. Springvloet L, Lechner L, de Vries H, Oenema A. Long-term efficacy of a Web-based computer-tailored nutrition education intervention for adults including cognitive and environmental feedback: a randomized controlled trial. BMC Public Health 2015;15(1)
    CrossRef
  86. Petersen JM, Kemps E, Lewis LK, Prichard I. Psychological mechanisms underlying the relationship between commercial physical activity app use and physical activity engagement. Psychology of Sport and Exercise 2020;51:101719
    CrossRef
  87. 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
  88. . Social Support and Physical Activity Engagement by Cancer Survivors. Clinical Journal of Oncology Nursing 2012;16(3):E84
    CrossRef
  89. Oyibo K, Vassileva J. The relationship between personality traits and susceptibility to social influence. Computers in Human Behavior 2019;98:174
    CrossRef
  90. Walsh A, Washington T, Petrunoff N, Heesch K. Commuter Choices: A clustered, quasi-experimental trial of a social cognitive approach to increasing active commuting among office workers. Journal of Transport & Health 2021;20:100998
    CrossRef
  91. Egilsson E, Bjarnason R, Njardvik U. Usage and Weekly Attrition in a Smartphone-Based Health Behavior Intervention for Adolescents: Pilot Randomized Controlled Trial. JMIR Formative Research 2021;5(2):e21432
    CrossRef
  92. Urell C, Hellström K, Johansson H, Breidenskog M, Hagström E, Bring A. Reliability of the Swedish version of the multidimensional outcome expectations for exercise scale (MOEES-SW) in a cardiac population. Physiotherapy Theory and Practice 2022;38(11):1779
    CrossRef
  93. Kandel P, Lim S, Pirotta S, Skouteris H, Moran LJ, Hill B. Enablers and barriers to women's lifestyle behavior change during the preconception period: A systematic review. Obesity Reviews 2021;22(7)
    CrossRef
  94. Turner-McGrievy GM, Yang C, Monroe C, Pellegrini C, West DS. Is Burden Always Bad? Emerging Low-Burden Approaches to Mobile Dietary Self-monitoring and the Role Burden Plays with Engagement. Journal of Technology in Behavioral Science 2021;6(3):447
    CrossRef
  95. Petersen JM, Kemps E, Lewis LK, Prichard I. Promoting physical activity during the COVID-19 lockdown in Australia: The roles of psychological predictors and commercial physical activity apps. Psychology of Sport and Exercise 2021;56:102002
    CrossRef
  96. Ferrante JM, Lulla A, Williamson JD, Devine KA, Ohman-Strickland P, Bandera EV. Patterns of Fitbit Use and Activity Levels Among African American Breast Cancer Survivors During an eHealth Weight Loss Randomized Controlled Trial. American Journal of Health Promotion 2022;36(1):94
    CrossRef
  97. Cormack EE, Hand CJ. Broadening the participant pool: A novel approach for remote research. Sport & Exercise Psychology Review 2022;17(2):69
    CrossRef
  98. Tabak I, Mazur J, Nałęcz H. Family and individual predictors and mediators of adolescent physical activity. Health Psychology Report 2017;5(4):333
    CrossRef
  99. Taani MH, Strath SJ, Schiffman R, Fendrich M, Harley A, Cho CC, Yamada Y, Kovach CR. Self-management processes, sedentary behavior, physical activity and dietary self-management behaviors: impact on muscle outcomes in continuing care retirement community residents. BMC Geriatrics 2022;22(1)
    CrossRef
  100. Howell P, Abdelhamid M. Protection Motivation Perspective Regarding the Use of COVID-19 Mobile Tracing Apps Among Public Users: Empirical Study. JMIR Formative Research 2023;7:e36608
    CrossRef
  101. Gao Y, Gong L, Liu H, Kong Y, Wu X, Guo Y, Hu D. Research on the influencing factors of users’ information processing in online health communities based on heuristic-systematic model. Frontiers in Psychology 2022;13
    CrossRef
  102. Bramblett PN, Fasczewski KS, Powell SM. Do it for the cause: Feasibility of a theory-based virtual 5 K walk/run program to increase physical activity behavior. Evaluation and Program Planning 2023;98:102272
    CrossRef
  103. Suminski RR, Leonard T, Obrusnikova I, Kelly K. The Impact of Health Coaching on Weight and Physical Activity in Obese Adults: A Randomized Control Trial. American Journal of Lifestyle Medicine 2024;18(2):233
    CrossRef
  104. Sakib AS, Mukta MSH, Huda FR, Islam AKMN, Islam T, Ali ME. Identifying Insomnia From Social Media Posts: Psycholinguistic Analyses of User Tweets. Journal of Medical Internet Research 2021;23(12):e27613
    CrossRef
  105. Wilderink L, Bakker I, Schuit AJ, Seidell JC, Pop IA, Renders CM. A Theoretical Perspective on Why Socioeconomic Health Inequalities Are Persistent: Building the Case for an Effective Approach. International Journal of Environmental Research and Public Health 2022;19(14):8384
    CrossRef
  106. Zeng Q, Cao H, Ma Q, Chen J, Shi H, Li J. Appetite loss, death anxiety and medical coping modes in COVID‐19 patients: a cross‐sectional study. Nursing Open 2021;8(6):3242
    CrossRef
  107. Pekmezi D, Motl R. Targeting Physical Inactivity Using Behavioral Theory in Chronic, Disabling Diseases. Exercise and Sport Sciences Reviews 2022;50(3):156
    CrossRef
  108. Lahtio H, Rintala A, Immonen J, Sjögren T. The Effectiveness of Physical Activity-Promoting Web- and Mobile-Based Distance Weight Loss Interventions on Body Composition in Rehabilitation Settings: Systematic Review, Meta-analysis, and Meta-Regression Analysis. Journal of Medical Internet Research 2022;24(3):e25906
    CrossRef
  109. Zhou P, Zhao Y, Xiao S, Zhao K. The impact of online health community engagement on lifestyle changes: A serially mediated model. Frontiers in Public Health 2022;10
    CrossRef
  110. Wade M, Mann S, Copeland RJ, Steele J. Effect of exercise referral schemes upon health and well-being: initial observational insights using individual patient data meta-analysis from the National Referral Database. Journal of Epidemiology and Community Health 2020;74(1):32
    CrossRef
  111. Liu J, Wang J. Users’ Intention to Continue Using Online Mental Health Communities: Empowerment Theory Perspective. International Journal of Environmental Research and Public Health 2021;18(18):9427
    CrossRef
  112. Knowlden AP, Wilkerson AH, Dunlap KB, Stellefson M, Elijah OA. Systematic review of electronically delivered behavioral obesity prevention interventions targeting men. Obesity Reviews 2022;23(9)
    CrossRef
  113. Liu J, Zeng M, Wang D, Zhang Y, Shang B, Ma X. Applying Social Cognitive Theory in Predicting Physical Activity Among Chinese Adolescents: A Cross-Sectional Study With Multigroup Structural Equation Model. Frontiers in Psychology 2022;12
    CrossRef
  114. Johnson CM, D'Eramo Melkus G, Reagan L, Pan W, Amarasekara S, Pereira K, Hassell N, Nowlin S, Vorderstrasse A. Learning in a Virtual Environment to Improve Type 2 Diabetes Outcomes: Randomized Controlled Trial. JMIR Formative Research 2023;7:e40359
    CrossRef
  115. Lin M, Chu M, Li X, Ma H, Fang Z, Mao L, Wang P, Chen T, Chiang Y. Factors influencing adolescent experimental and current smoking behaviors based on social cognitive theory: A cross-sectional study in Xiamen. Frontiers in Public Health 2023;11
    CrossRef
  116. Wilroy J, Kim Y, Lai B, Young H, Giannone J, Powell D, Thirumalai M, Mehta T, Rimmer J. Increasing Physical Activity in Persons With Spinal Cord Injury With an eHealth-Based Adaptive Exercise Intervention: Protocol for a Sequential Multiple Assignment Randomized Trial. JMIR Research Protocols 2023;12:e47665
    CrossRef
  117. Borah P, Lorenzano K, Yel E, Austin E. Social Cognitive Theory and Willingness to Perform Recommended Health Behavior: The Moderating Role of Misperceptions. Journal of Health Communication 2024;29(1):49
    CrossRef
  118. Martin-Vicario L, Martínez-Sánchez ME, Nicolas-Sans R. Factors influencing perceived usefulness of a branded weight-loss app. British Food Journal 2024;126(4):1725
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  1. Sherwood NE, Senso MM, Fleming CK, Roeder AM. Nutrition in the Prevention and Treatment of Disease. 2013. :479
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  2. Esteves D, Pinheiro P, O'Hara K, Brás R. Encyclopedia of E-Health and Telemedicine. 2016. chapter 49:634
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  3. Seburg EM, Crane MM, Sherwood NE. Nutrition in the Prevention and Treatment of Disease. 2017. :515
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