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 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) 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
  68. Ferrante J, Devine K, Bator A, Rodgers A, Ohman-Strickland P, Bandera E, Hwang K. 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 View
  69. LaBrie J, de Rutte J, Boyle S, Tan C, Earle A. Leveraging copresence to increase the effectiveness of gamified personalized normative feedback. Addictive Behaviors 2019;99:106085 View
  70. Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544 View
  71. Quick V, Martin-Biggers J, Povis G, 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 View
  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 View
  73. Soto S, Callahan L, Bahorski S, Altpeter M, Hales D, 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 View
  74. Kim B, Wallington S, Makambi K, Adams-Campbell L. 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 View
  75. Zhen-Duan J, Engebretsen B, Laroche H. 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) View
  76. Falomir Z, Arregui M, Madueño F, Corella D, Coltell Ó. 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 View
  77. Nho J, Kim S, Kwon Y. Depression and appetite: predictors of malnutrition in gynecologic cancer. Supportive Care in Cancer 2014;22(11):3081 View
  78. Eisenberg M, Lipsky L, Dempster K, Liu A, Nansel T. 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 View
  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 View
  80. Cho R, Weng J, Lynch K, Ng P, Brown C, Hoens A, Barry K, Brunham L, 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 View
  81. Oh H, 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 View
  82. Kerrigan S, Clark M, Convertino A, Forman E, Butryn M. 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 View
  83. Morgan P, Scott H, Young M, Plotnikoff R, Collins C, 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) View
  84. Sun P, Huang H, Chu F. Factors instead of demographic characteristics related to nutrition label use. British Food Journal 2015;117(12):3024 View
  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) View
  86. Petersen J, Kemps E, Lewis L, 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 View
  87. 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
  88. Barber F. Social Support and Physical Activity Engagement by Cancer Survivors. Clinical Journal of Oncology Nursing 2012;16(3):E84 View
  89. Oyibo K, Vassileva J. The relationship between personality traits and susceptibility to social influence. Computers in Human Behavior 2019;98:174 View
  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 View
  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 View
  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 View
  93. Kandel P, Lim S, Pirotta S, Skouteris H, Moran L, Hill B. Enablers and barriers to women's lifestyle behavior change during the preconception period: A systematic review. Obesity Reviews 2021;22(7) View
  94. Turner-McGrievy G, Yang C, Monroe C, Pellegrini C, West D. 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 View
  95. Petersen J, Kemps E, Lewis L, 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 View
  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
  97. Cormack E, Hand C. Broadening the participant pool: A novel approach for remote research. Sport & Exercise Psychology Review 2022;17(2):69 View
  98. Tabak I, Mazur J, Nałęcz H. Family and individual predictors and mediators of adolescent physical activity. Health Psychology Report 2017;5(4):333 View
  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
  103. Suminski R, 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 View
  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
  105. Wilderink L, Bakker I, Schuit A, Seidell J, Pop I, Renders C. 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 View
  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 View
  107. Pekmezi D, Motl R. Targeting Physical Inactivity Using Behavioral Theory in Chronic, Disabling Diseases. Exercise and Sport Sciences Reviews 2022;50(3):156 View
  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 View
  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 View
  110. Wade M, Mann S, Copeland R, 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 View
  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 View
  112. Knowlden A, Wilkerson A, Dunlap K, Stellefson M, Elijah O. Systematic review of electronically delivered behavioral obesity prevention interventions targeting men. Obesity Reviews 2022;23(9) View
  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
  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 View
  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
  119. Chen A, Chu W, Peng N. Promoting new users’ online health consultation services usage behavior strategically. Health Marketing Quarterly 2024;41(2):214 View
  120. Marentes-Castillo M, Castillo I, Tomás I, Álvarez O. Towards a Healthy Diet in an Adolescent Population: The Mediating Role of Motivation and Perceived Barriers between Self-Efficacy and Weight Regulation. Healthcare 2024;12(14):1454 View
  121. Annesi J, Powell S. Temporal Aspects of Psychosocial Mediators of the Exercise-Weight Loss Maintenance Relationship Within Scalable Behavior-Change Treatments. Canadian Journal of Nursing Research 2024;56(3):329 View
  122. Nguyen H, Nguyen O, Tran T, Nguyen A, Liamputtong P, Bui L. The impacts of cancer treatment on lifestyle habits and mental health in Vietnamese women: an exploratory qualitative study. Supportive Care in Cancer 2024;32(10) View
  123. Oyibo K, Adaji I, Vassileva J. Social cognitive determinants of exercise behavior in the context of behavior modeling: a mixed method approach. DIGITAL HEALTH 2018;4 View
  124. Ehmann M, Hagerman C, Milliron B, Butryn M. The Role of Household Social Support and Undermining in Dietary Change. International Journal of Behavioral Medicine 2024 View

Books/Policy Documents

  1. Sherwood N, Senso M, Fleming C, Roeder A. Nutrition in the Prevention and Treatment of Disease. View
  2. Esteves D, Pinheiro P, O'Hara K, Brás R. Encyclopedia of E-Health and Telemedicine. View
  3. Seburg E, Crane M, Sherwood N. Nutrition in the Prevention and Treatment of Disease. View
  4. Godinho J, Alves H. Innovations in Social Marketing and Public Health Communication. View
  5. Olanubi G, Tomiyama A. The Wiley Encyclopedia of Health Psychology. View
  6. Koinig I, Diehl S. The Sustainability Communication Reader. View