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

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

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

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

Journals

  1. Ko L, Rodriguez E, Yoon J, Ravindran R, Copeland W. 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 View
  2. Fassier P, Chhim A, Andreeva V, 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 View
  3. Lynch S, Stricker C, Brown J, Berardi J, Vaughn D, Domchek S, Filseth S, Branas A, Weiss‐Trainor E, Schmitz K, Sarwer D. Evaluation of a web‐based weight loss intervention in overweight cancer survivors aged 50 years and younger. Obesity Science & Practice 2017;3(1):83 View
  4. Turner-McGrievy G, Kalyanaraman S, Campbell M. Delivering Health Information via Podcast or Web: Media Effects on Psychosocial and Physiological Responses. Health Communication 2013;28(2):101 View
  5. Nansel T, Haynie D, Lipsky L, Wang J, Mehta S, Laffel L. 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 View
  6. Willis L, 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 View
  7. Chou T, Bry L, Comer J. Multimedia Field Test: Evaluating the Creative Ambitions of SuperBetter and Its Quest to Gamify Mental Health. Cognitive and Behavioral Practice 2017;24(1):115 View
  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 View
  9. Jiang S, Street R. Pathway Linking Internet Health Information Seeking to Better Health: A Moderated Mediation Study. Health Communication 2017;32(8):1024 View
  10. Rivas R, Sadah S, 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 View
  11. Young M, Plotnikoff R, Collins C, Callister R, Morgan P. 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 View
  12. Eisenberg M, Lipsky L, Gee B, Liu A, Nansel T. 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 View
  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 View
  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 View
  15. Simpson S, 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 View
  16. Didem E, 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) View
  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 View
  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 View
  19. Tafurt-Cardona Y, Jaramillo-Ruiz L, Muñoz-Ordoñez W, Muñoz-Benítez S, Sierra-Torres C. 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) View
  20. Blonstein A, Lv N, Camargo C, Wilson S, Buist A, Rosas L, 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 View
  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) View
  22. Kim S, Kim J, Kim H, Nho J, Kim Y, Min S. Factors related to malnutrition in community‐dwelling patients with schizophrenia. Perspectives in Psychiatric Care 2019;55(3):415 View
  23. Grant F, Hogg M, Crano W. Yes, we can: physical activity and group identification among healthy adults. Journal of Applied Social Psychology 2015;45(7):383 View
  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 View
  25. Bania T, Dodd K, Baker R, Graham H, Taylor N. 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 View
  26. Linke S, Robinson C, Pekmezi D. Applying Psychological Theories to Promote Healthy Lifestyles. American Journal of Lifestyle Medicine 2014;8(1):4 View
  27. Springvloet L, Lechner L, de Vries H, Candel M, 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 View
  28. Webber-Ritchey K, Taylor-Piliae R, Loescher L. 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 View
  29. Fetter D, Dharmar M, Lawry-Hall S, Pressman J, Chapman J, Scherr R. The Influence of Gain-Framed and Loss-Framed Health Messages on Nutrition and Physical Activity Knowledge. Global Pediatric Health 2019;6:2333794X1985740 View
  30. Shin C, Belyea M. Psychosocial Factors and Dietary Practices in Korean Americans. Clinical Nursing Research 2019;28(3):374 View
  31. Dennison R, Feldman A, Usher-Smith J, Griffin S. 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) View
  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 View
  33. Vandelanotte C, Kirwan M, Rebar A, Alley S, Short C, Fallon L, Buzza G, Schoeppe S, Maher C, Duncan M. 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) View
  34. Kaipainen K, Payne C, 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 View
  35. King A, Campero I, Sheats J, Castro Sweet C, Garcia D, Chazaro A, Blanco G, Hauser M, Fierros F, Ahn D, 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 View
  36. Stacey F, James E, Chapman K, Courneya K, Lubans D. 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 View
  37. Hardin-Fanning F, Ricks J. 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 View
  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 View
  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 View
  40. Young M, Plotnikoff R, Collins C, Callister R, Morgan P. Social cognitive theory and physical activity: a systematic review and meta‐analysis. Obesity Reviews 2014;15(12):983 View
  41. Cassimatis M, Kavanagh D, Hills A, Smith A, Scuffham P, 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 View
  42. Dewar D, Plotnikoff R, Morgan P, Okely A, Costigan S, Lubans D. 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 View
  43. Peels D, Bolman C, Golsteijn R, De Vries H, Mudde A, van Stralen M, 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 View
  44. Hartman S, Dunsiger S, Bock B, Larsen B, Linke S, Pekmezi D, Marquez B, Gans K, Mendoza-Vasconez A, Marcus B. 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 View
  45. Rosenkranz R, Geller K, Duncan M, Caperchione C, Vandelanotte C, Maeder A, Savage T, Van Itallie A, Kolt G. 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 View
  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 View
  47. Beatty T, Nanney M, Tuttle C. Time to eat? The relationship between food security and food-related time use. Public Health Nutrition 2014;17(1):66 View
  48. Peng C, Wu T, Chen Y, Atkin D. 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 View
  49. Vandelanotte C, Kolt G, Caperchione C, Savage T, Rosenkranz R, Maeder A, Van Itallie A, Tague R, Oldmeadow C, Mummery W, Duncan M. 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 View
  50. Greaney M, Puleo E, Sprunck-Harrild K, Haines J, Houghton S, Emmons K. Social Support for Changing Multiple Behaviors: Factors Associated With Seeking Support and the Impact of Offered Support. Health Education & Behavior 2018;45(2):198 View
  51. McCully S, Don B, Updegraff J. 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 View
  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) View
  53. Silveira P, van de Langenberg R, van het Reve E, Daniel F, Casati F, de Bruin E. 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 View
  54. Sadah S, Shahbazi M, Wiley M, Hristidis V. Demographic-Based Content Analysis of Web-Based Health-Related Social Media. Journal of Medical Internet Research 2016;18(6):e148 View
  55. Lubans D, Plotnikoff R, Morgan P, Dewar D, Costigan S, Collins C. Explaining dietary intake in adolescent girls from disadvantaged secondary schools. A test of Social Cognitive Theory. Appetite 2012;58(2):517 View
  56. Plotnikoff R, Morgan P, Lubans D, Rhodes R, Costigan S. 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 View
  57. Prestwich A, Conner M, Lawton R, Ward J, Ayres K, McEachan R. Partner‐ and planning‐based interventions to reduce fat consumption: Randomized controlled trial. British Journal of Health Psychology 2014;19(1):132 View
  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 View
  59. Cox-Martin E, Cox M, Basen-Engquist K, Bradley C, Blalock J. Changing multiple health behaviors in cancer survivors: smoking and exercise. Psychology, Health & Medicine 2020;25(3):331 View
  60. Monroe C, Bassett D, Fitzhugh E, Raynor H, Thompson D. Effect of Adding Online Social Support Tools to an Adult Walking Program. Health Promotion Practice 2017;18(1):84 View
  61. Robbins L, Wen F, Ling J. Mediators of Physical Activity Behavior Change in the “Girls on the Move” Intervention. Nursing Research 2019;68(4):257 View
  62. Paech J, Fleig L, Pomp S, Lippke S. Soziale Unterstützung als Wegbereiter für Planungsprozesse. Zeitschrift für Gesundheitspsychologie 2014;22(2):39 View
  63. Rahmati Najarkolaei F, Tavafian S, Gholami Fesharaki M, Jafari M. 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) View
  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 View
  65. Plotnikoff R, Costigan S, Karunamuni N, Lubans D. Social cognitive theories used to explain physical activity behavior in adolescents: A systematic review and meta-analysis. Preventive Medicine 2013;56(5):245 View
  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 View
  67. Horton S, Timmerman G, Brown A. Factors influencing dietary fat intake among black emerging adults. Journal of American College Health 2018;66(3):155 View
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  96. Ferrante J, Lulla A, Williamson J, Devine K, Ohman-Strickland P, Bandera E. 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 View
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  99. Taani M, Strath S, Schiffman R, Fendrich M, Harley A, Cho C, Yamada Y, Kovach C. 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) View
  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 View
  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 View
  102. Bramblett P, Fasczewski K, Powell S. 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 View
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  104. Sakib A, Mukta M, Huda F, Islam A, Islam T, Ali M. Identifying Insomnia From Social Media Posts: Psycholinguistic Analyses of User Tweets. Journal of Medical Internet Research 2021;23(12):e27613 View
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  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 View
  114. Johnson C, 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 View
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  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 View
  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 View
  118. Martin-Vicario L, Martínez-Sánchez M, Nicolas-Sans R. Factors influencing perceived usefulness of a branded weight-loss app. British Food Journal 2024;126(4):1725 View
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