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This is a "connection" page, showing publications co-authored by DEBORAH THOMPSON and TOM BARANOWSKI.
DEBORAH THOMPSON
Connection Strength
14.018
TOM BARANOWSKI
  1. Social marketing and the challenges of participant recruitment. Transl Behav Med. 2024 Jul 27; 14(8):499-504.
    View in: PubMed
    Score: 0.965
  2. Diet Quality among Pre-Adolescent African American Girls in a Randomized Controlled Obesity Prevention Intervention Trial. Nutrients. 2023 Jun 12; 15(12).
    View in: PubMed
    Score: 0.893
  3. Descriptive Normative Nutrition Messages to Maximize Effect in a Videogame: Narrative Review. Games Health J. 2020 Aug; 9(4):237-254.
    View in: PubMed
    Score: 0.703
  4. Experimental Design to Systematically Develop a Knowledge Base for Effective Games for Health. Games Health J. 2019 Oct; 8(5):307-312.
    View in: PubMed
    Score: 0.675
  5. Chatbots as extenders of pediatric obesity intervention: an invited commentary on "Feasibility of Pediatric Obesity & Pre-Diabetes Treatment Support through Tess, the AI Behavioral Coaching Chatbot". Transl Behav Med. 2019 05 16; 9(3):448-450.
    View in: PubMed
    Score: 0.673
  6. Getting Research on Games for Health Funded. Games Health J. 2017 Feb; 6(1):1-8.
    View in: PubMed
    Score: 0.571
  7. A Serious Video Game to Increase Fruit and Vegetable Consumption Among Elementary Aged Youth (Squire's Quest! II): Rationale, Design, and Methods. JMIR Res Protoc. 2012 Nov 21; 1(2):e19.
    View in: PubMed
    Score: 0.430
  8. Is Enhanced Physical Activity Possible Using Active Videogames? Games Health J. 2012 Jun; 1(3):228-232.
    View in: PubMed
    Score: 0.416
  9. Selection and use of vegetable parenting practices did not vary by parent feeding styles: Mixed methods investigation. Appetite. 2022 03 01; 170:105883.
    View in: PubMed
    Score: 0.202
  10. Vegetable parenting practices vary by feeding styles among middle class mothers of young children. Appetite. 2022 04 01; 171:105850.
    View in: PubMed
    Score: 0.201
  11. Precision Food Parenting: A Proposed Conceptual Model and Research Agenda. Nutrients. 2021 Oct 19; 13(10).
    View in: PubMed
    Score: 0.199
  12. Beliefs of women of childbearing age on healthy sleep habits: a reasoned action approach elicitation study. Women Health. 2021 09; 61(8):751-762.
    View in: PubMed
    Score: 0.197
  13. Later sleep timing predicts accelerated summer weight gain among elementary school children: a prospective observational study. Int J Behav Nutr Phys Act. 2021 07 12; 18(1):94.
    View in: PubMed
    Score: 0.195
  14. Perceptions About Health, Nutrition Knowledge, and MyPlate Food Categorization Among US Adolescents: A Qualitative Study. J Nutr Educ Behav. 2021 02; 53(2):110-119.
    View in: PubMed
    Score: 0.188
  15. The impact of narratives and active video games on long-term moderate-to-vigorous physical activity: A randomized controlled trial protocol. Contemp Clin Trials. 2020 09; 96:106087.
    View in: PubMed
    Score: 0.183
  16. Exploring Determinants of Parent Behaviors During Eating Episodes. J Nutr Educ Behav. 2020 03; 52(3):240-248.
    View in: PubMed
    Score: 0.176
  17. Food Sources of Shortfall Nutrients Among US Adolescents: National Health and Nutrition Examination Survey (NHANES) 2011-2014. Fam Community Health. 2020 Jan/Mar; 43(1):59-73.
    View in: PubMed
    Score: 0.176
  18. Brazilian Children's Dietary Intake in Relation to Brazil's New Nutrition Guidelines: a Systematic Review. Curr Nutr Rep. 2019 06; 8(2):145-166.
    View in: PubMed
    Score: 0.169
  19. Potential circadian and circannual rhythm contributions to the obesity epidemic in elementary school age children. Int J Behav Nutr Phys Act. 2019 03 07; 16(1):25.
    View in: PubMed
    Score: 0.166
  20. Top food sources of percentage of energy, nutrients to limit and total gram amount consumed among US adolescents: National Health and Nutrition Examination Survey 2011-2014. Public Health Nutr. 2019 03; 22(4):661-671.
    View in: PubMed
    Score: 0.163
  21. "Healthy Habits, Healthy Girls-Brazil": an obesity prevention program with added focus on eating disorders. Eat Weight Disord. 2019 Feb; 24(1):107-119.
    View in: PubMed
    Score: 0.157
  22. Sustained impact of the "Healthy Habits, Healthy Girls - Brazil" school-based randomized controlled trial for adolescents living in low-income communities. Prev Med Rep. 2018 Jun; 10:346-352.
    View in: PubMed
    Score: 0.156
  23. Parents' Qualitative Perspectives on Child Asking for Fruit and Vegetables. Nutrients. 2017 Jun 05; 9(6).
    View in: PubMed
    Score: 0.147
  24. The effectiveness of asking behaviors among 9-11 year-old children in increasing home availability and children's intake of fruit and vegetables: results from the Squire's Quest II self-regulation game intervention. Int J Behav Nutr Phys Act. 2017 Apr 21; 14(1):51.
    View in: PubMed
    Score: 0.146
  25. Physical Activity Behaviors and Influences Among Chinese-American Children Aged 9-13?Years: A Qualitative Study. J Immigr Minor Health. 2017 04; 19(2):358-366.
    View in: PubMed
    Score: 0.145
  26. Culture and Diet Among Chinese American Children Aged 9-13?Years: A Qualitative Study. J Nutr Educ Behav. 2017 04; 49(4):275-284.e1.
    View in: PubMed
    Score: 0.143
  27. Qualitative Analysis of Cognitive Interviews With School Children: A Web-Based Food Intake Questionnaire. JMIR Public Health Surveill. 2016 Nov 28; 2(2):e167.
    View in: PubMed
    Score: 0.142
  28. Texting to Increase Adolescent Physical Activity: Feasibility Assessment. Am J Health Behav. 2016 07; 40(4):472-83.
    View in: PubMed
    Score: 0.138
  29. An educational video game for nutrition of young people: Theory and design. Simul Gaming. 2016 Aug; 47(4):490-516.
    View in: PubMed
    Score: 0.134
  30. Games for Health for Children-Current Status and Needed Research. Games Health J. 2016 Feb; 5(1):1-12.
    View in: PubMed
    Score: 0.130
  31. Creating action plans in a serious video game increases and maintains child fruit-vegetable intake: a randomized controlled trial. Int J Behav Nutr Phys Act. 2015 Mar 18; 12:39.
    View in: PubMed
    Score: 0.126
  32. Predicting use of effective vegetable parenting practices with the Model of Goal Directed Behavior. Public Health Nutr. 2015 Jun; 18(8):1389-96.
    View in: PubMed
    Score: 0.122
  33. Predicting use of ineffective vegetable parenting practices with the Model of Goal Directed Behavior. Public Health Nutr. 2015 Apr; 18(6):1028-35.
    View in: PubMed
    Score: 0.120
  34. Texting to Increase Physical Activity Among Teenagers (TXT Me!): Rationale, Design, and Methods Proposal. JMIR Res Protoc. 2014 Mar 12; 3(1):e14.
    View in: PubMed
    Score: 0.118
  35. Qualitative analysis of the contributions of nutritionists to the development of an online instrument for monitoring the food intake of schoolchildren. J Hum Nutr Diet. 2015 Jan; 28 Suppl 1:65-72.
    View in: PubMed
    Score: 0.117
  36. Psychometric assessment of scales for a Model of Goal Directed Vegetable Parenting Practices (MGDVPP). Int J Behav Nutr Phys Act. 2013 Sep 22; 10:110.
    View in: PubMed
    Score: 0.114
  37. Physical activity and screen-media-related parenting practices have different associations with children's objectively measured physical activity. Child Obes. 2013 Oct; 9(5):446-53.
    View in: PubMed
    Score: 0.114
  38. Butterfly Girls; promoting healthy diet and physical activity to young African American girls online: rationale and design. BMC Public Health. 2013 Aug 02; 13:709.
    View in: PubMed
    Score: 0.113
  39. Developing Games for Health Behavior Change: Getting Started. Games Health J. 2013 Aug; 2(4):183-190.
    View in: PubMed
    Score: 0.113
  40. Adapting a Videogame to the Needs of Pediatric Cancer Patients and Survivors. Games Health J. 2013 Aug; 2(4):213-21.
    View in: PubMed
    Score: 0.112
  41. Child Goal Setting of Dietary and Physical Activity in a Serious Videogame. Games Health J. 2013 Jun; 2(3):150-7.
    View in: PubMed
    Score: 0.111
  42. Feasibility study to objectively assess activity and location of Hispanic preschoolers: a short communication. Geospat Health. 2013 May; 7(2):375-80.
    View in: PubMed
    Score: 0.111
  43. TV parenting practices: is the same scale appropriate for parents of children of different ages? Int J Behav Nutr Phys Act. 2013 Apr 02; 10:41.
    View in: PubMed
    Score: 0.110
  44. Predicting Use of Ineffective Responsive, Structure and Control Vegetable Parenting Practices with the Model of Goal Directed Behavior. J Food Res. 2013; 2(6):80-88.
    View in: PubMed
    Score: 0.108
  45. Fun and Games and Boredom. Games Health J. 2012 Aug; 1(4):257-261.
    View in: PubMed
    Score: 0.105
  46. Alpha Test of a Videogame to Increase Children's Vegetable Consumption. Games Health J. 2012 Jun; 1(3):219-222.
    View in: PubMed
    Score: 0.104
  47. Food Intake Recording Software System, version 4 (FIRSSt4): a self-completed 24-h dietary recall for children. J Hum Nutr Diet. 2014 Jan; 27 Suppl 1:66-71.
    View in: PubMed
    Score: 0.104
  48. Impact of an active video game on healthy children's physical activity. Pediatrics. 2012 Mar; 129(3):e636-42.
    View in: PubMed
    Score: 0.102
  49. Story Immersion in a Health Videogame for Childhood Obesity Prevention. Games Health J. 2012 Feb 15; 1(1):37-44.
    View in: PubMed
    Score: 0.102
  50. Comparison of a Web-based versus traditional diet recall among children. J Acad Nutr Diet. 2012 Apr; 112(4):527-32.
    View in: PubMed
    Score: 0.102
  51. A model of goal directed vegetable parenting practices. Appetite. 2012 Apr; 58(2):444-9.
    View in: PubMed
    Score: 0.101
  52. Identifying and clarifying values and reason statements that promote effective food parenting practices, using intensive interviews. J Nutr Educ Behav. 2011 Nov-Dec; 43(6):531-5.
    View in: PubMed
    Score: 0.100
  53. Effects of goal setting on dietary and physical activity changes in the Boy Scout badge projects. Health Educ Behav. 2011 Oct; 38(5):521-9.
    View in: PubMed
    Score: 0.096
  54. Behavioral science in video games for children's diet and physical activity change: key research needs. J Diabetes Sci Technol. 2011 Mar 01; 5(2):229-33.
    View in: PubMed
    Score: 0.095
  55. Video game play, child diet, and physical activity behavior change a randomized clinical trial. Am J Prev Med. 2011 Jan; 40(1):33-8.
    View in: PubMed
    Score: 0.094
  56. Children's accuracy of portion size estimation using digital food images: effects of interface design and size of image on computer screen. Public Health Nutr. 2011 Mar; 14(3):418-25.
    View in: PubMed
    Score: 0.093
  57. Interactive media for childhood obesity prevention. Health Commun. 2010 Sep; 25(6-7):581-2.
    View in: PubMed
    Score: 0.092
  58. Serious Video Games for Health How Behavioral Science Guided the Development of a Serious Video Game. Simul Gaming. 2010 Aug 01; 41(4):587-606.
    View in: PubMed
    Score: 0.092
  59. Conceptual model for the design of a serious video game promoting self-management among youth with type 1 diabetes. J Diabetes Sci Technol. 2010 May 01; 4(3):744-9.
    View in: PubMed
    Score: 0.090
  60. Self efficacy for fruit, vegetable and water intakes: Expanded and abbreviated scales from item response modeling analyses. Int J Behav Nutr Phys Act. 2010 Mar 29; 7:25.
    View in: PubMed
    Score: 0.089
  61. Tests of the accuracy and speed of categorizing foods into child vs professional categories using two methods of browsing with children. J Am Diet Assoc. 2010 Jan; 110(1):91-4.
    View in: PubMed
    Score: 0.088
  62. Design of Video Games for Children's Diet and Physical Activity Behavior Change. Int J Comput Sci Sport. 2010; 9(2):3-17.
    View in: PubMed
    Score: 0.088
  63. Boy Scout 5-a-Day Badge: outcome results of a troop and Internet intervention. Prev Med. 2009 Dec; 49(6):518-26.
    View in: PubMed
    Score: 0.086
  64. Food, fun, and fitness internet program for girls: pilot evaluation of an e-Health youth obesity prevention program examining predictors of obesity. Prev Med. 2008 Nov; 47(5):494-7.
    View in: PubMed
    Score: 0.080
  65. Playing for real: video games and stories for health-related behavior change. Am J Prev Med. 2008 Jan; 34(1):74-82.
    View in: PubMed
    Score: 0.077
  66. In pursuit of change: youth response to intensive goal setting embedded in a serious video game. J Diabetes Sci Technol. 2007 Nov; 1(6):907-17.
    View in: PubMed
    Score: 0.076
  67. Distance to food stores & adolescent male fruit and vegetable consumption: mediation effects. Int J Behav Nutr Phys Act. 2007 Sep 13; 4:35.
    View in: PubMed
    Score: 0.075
  68. Food, Fun and Fitness Internet program for girls: influencing log-on rate. Health Educ Res. 2008 Apr; 23(2):228-37.
    View in: PubMed
    Score: 0.074
  69. Item response modeling: an evaluation of the children's fruit and vegetable self-efficacy questionnaire. Health Educ Res. 2006 Dec; 21 Suppl 1:i47-57.
    View in: PubMed
    Score: 0.071
  70. eHealth recruitment challenges. Eval Program Plann. 2006 Nov; 29(4):433-40.
    View in: PubMed
    Score: 0.070
  71. Social desirability is associated with some physical activity, psychosocial variables and sedentary behavior but not self-reported physical activity among adolescent males. Health Educ Res. 2007 Jun; 22(3):438-49.
    View in: PubMed
    Score: 0.070
  72. Impact of child summertime obesity interventions on body mass index and weight-related behaviors: A systematic review and meta-analysis. Obes Rev. 2024 Dec 19; e13883.
    View in: PubMed
    Score: 0.062
  73. Covariability in diet and physical activity in African-American girls. Obes Res. 2004 Sep; 12 Suppl:46S-54S.
    View in: PubMed
    Score: 0.061
  74. A social media game to increase physical activity among older adult women: protocol of a randomized controlled trial to evaluate CHALLENGE. BMC Public Health. 2024 Aug 12; 24(1):2172.
    View in: PubMed
    Score: 0.061
  75. Are current health behavioral change models helpful in guiding prevention of weight gain efforts? Obes Res. 2003 Oct; 11 Suppl:23S-43S.
    View in: PubMed
    Score: 0.057
  76. Examination of parent-reported differences in children's daily screen use, sleep, and sleep hygiene behaviors during the school year and summer and their association with BMI. Sleep Health. 2023 06; 9(3):306-313.
    View in: PubMed
    Score: 0.055
  77. How much did it cost to develop and implement an eHealth intervention for a minority children population that overlapped with the COVID-19 pandemic? Contemp Clin Trials. 2023 02; 125:107044.
    View in: PubMed
    Score: 0.054
  78. School-based obesity prevention: a blueprint for taming the epidemic. Am J Health Behav. 2002 Nov-Dec; 26(6):486-93.
    View in: PubMed
    Score: 0.053
  79. Parent-perceived neighbourhood environment, parenting practices and preschool-aged children physical activity and screen time: a cross-sectional study of two culturally and geographically diverse cities. BMC Pediatr. 2022 05 27; 22(1):309.
    View in: PubMed
    Score: 0.052
  80. Evaluation of a Circadian Rhythm and Sleep-Focused Mobile Health Intervention for the Prevention of Accelerated Summer Weight Gain Among Elementary School-Age Children: Protocol for a Randomized Controlled Feasibility Study. JMIR Res Protoc. 2022 May 16; 11(5):e37002.
    View in: PubMed
    Score: 0.052
  81. Seasonality of Children's Height and Weight and Their Contribution to Accelerated Summer Weight Gain. Front Physiol. 2022; 13:793999.
    View in: PubMed
    Score: 0.052
  82. Using the Behaviour Change Wheel Program Planning Model to Design Games for Health: Development Study. JMIR Serious Games. 2021 Dec 03; 9(4):e29964.
    View in: PubMed
    Score: 0.050
  83. Cultural adaptation of 'Healthy Dads, Healthy Kids' for Hispanic families: applying the ecological validity model. Int J Behav Nutr Phys Act. 2020 04 21; 17(1):52.
    View in: PubMed
    Score: 0.045
  84. Obesity and eating disorders in integrative prevention programmes for adolescents: protocol for a systematic review and meta-analysis. BMJ Open. 2018 04 19; 8(4):e020381.
    View in: PubMed
    Score: 0.039
  85. Individual, social and environmental determinants of sleep among women: protocol for a systematic review and meta-analysis. BMJ Open. 2017 06 14; 7(6):e016592.
    View in: PubMed
    Score: 0.037
  86. The Narrative Impact of Active Video Games on Physical Activity Among Children: A Feasibility Study. J Med Internet Res. 2016 10 14; 18(10):e272.
    View in: PubMed
    Score: 0.035
  87. Is Participatory Design Associated with the Effectiveness of Serious Digital Games for Healthy Lifestyle Promotion? A Meta-Analysis. J Med Internet Res. 2016 Apr 29; 18(4):e94.
    View in: PubMed
    Score: 0.034
  88. Places where preschoolers are (in)active: an observational study on Latino preschoolers and their parents using objective measures. Int J Behav Nutr Phys Act. 2016 Feb 29; 13:29.
    View in: PubMed
    Score: 0.034
  89. Fit 5 Kids TV Reduction Program for Latino Preschoolers: A Cluster Randomized Controlled Trial. Am J Prev Med. 2016 May; 50(5):584-592.
    View in: PubMed
    Score: 0.033
  90. A meta-analysis of serious digital games for healthy lifestyle promotion. Prev Med. 2014 Dec; 69:95-107.
    View in: PubMed
    Score: 0.030
  91. What Hispanic parents do to encourage and discourage 3-5 year old children to be active: a qualitative study using nominal group technique. Int J Behav Nutr Phys Act. 2013 Aug 06; 10:93.
    View in: PubMed
    Score: 0.028
  92. Story Immersion of Videogames for Youth Health Promotion: A Review of Literature. Games Health J. 2012 Jun; 1(3):199-204.
    View in: PubMed
    Score: 0.026
  93. Development of new physical activity and sedentary behavior change self-efficacy questionnaires using item response modeling. Int J Behav Nutr Phys Act. 2009 Mar 31; 6:20.
    View in: PubMed
    Score: 0.021
  94. Innovative application of a multidimensional item response model in assessing the influence of social desirability on the pseudo-relationship between self-efficacy and behavior. Health Educ Res. 2006 Dec; 21 Suppl 1:i85-97.
    View in: PubMed
    Score: 0.018
  95. Fit for Life Boy Scout badge: outcome evaluation of a troop and Internet intervention. Prev Med. 2006 Mar; 42(3):181-7.
    View in: PubMed
    Score: 0.017
  96. BMI from 3-6 y of age is predicted by TV viewing and physical activity, not diet. Int J Obes (Lond). 2005 Jun; 29(6):557-64.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.