Connection

TOM BARANOWSKI to Feeding Behavior

This is a "connection" page, showing publications TOM BARANOWSKI has written about Feeding Behavior.
Connection Strength

8.722
  1. Exploring Determinants of Parent Behaviors During Eating Episodes. J Nutr Educ Behav. 2020 03; 52(3):240-248.
    View in: PubMed
    Score: 0.443
  2. 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: 0.409
  3. Nutrition Education and Dietary Behavior Change Games: A Scoping Review. Games Health J. 2019 Jun; 8(3):153-176.
    View in: PubMed
    Score: 0.407
  4. Predicting habits of vegetable parenting practices to facilitate the design of change programmes. Public Health Nutr. 2016 08; 19(11):1976-82.
    View in: PubMed
    Score: 0.333
  5. Vegetable parenting practices scale. Item response modeling analyses. Appetite. 2015 Aug; 91:190-9.
    View in: PubMed
    Score: 0.319
  6. 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: 0.306
  7. Validation of a web-based questionnaire to assess the dietary intake of Brazilian children aged 7-10 years. J Hum Nutr Diet. 2015 Jan; 28 Suppl 1:93-102.
    View in: PubMed
    Score: 0.305
  8. 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: 0.293
  9. Developing technological solutions for dietary assessment in children and young people. J Hum Nutr Diet. 2014 Jan; 27 Suppl 1:1-4.
    View in: PubMed
    Score: 0.292
  10. 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: 0.286
  11. Influences on children's dietary behavior, and innovative attempts to change it. Ann Nutr Metab. 2013; 62 Suppl 3:38-46.
    View in: PubMed
    Score: 0.284
  12. Dimensions of vegetable parenting practices among preschoolers. Appetite. 2013 Oct; 69:89-93.
    View in: PubMed
    Score: 0.280
  13. School-based obesity-prevention interventions in low- and middle-income countries: do they really work? Am J Clin Nutr. 2012 Aug; 96(2):227-8.
    View in: PubMed
    Score: 0.263
  14. 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: 0.261
  15. How to engage children in self-administered dietary assessment programmes. J Hum Nutr Diet. 2014 Jan; 27 Suppl 1:5-9.
    View in: PubMed
    Score: 0.261
  16. 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: 0.251
  17. Overeating styles and adiposity among multiethnic youth. Appetite. 2011 Feb; 56(1):71-7.
    View in: PubMed
    Score: 0.235
  18. Parental involvement in interventions to improve child dietary intake: a systematic review. Prev Med. 2010 Aug; 51(2):103-11.
    View in: PubMed
    Score: 0.227
  19. Testing theories of dietary behavior change in youth using the mediating variable model with intervention programs. J Nutr Educ Behav. 2009 Sep-Oct; 41(5):309-18.
    View in: PubMed
    Score: 0.216
  20. Impact of child summertime obesity interventions on body mass index and weight-related behaviors: A systematic review and meta-analysis. Obes Rev. 2025 May; 26(5):e13883.
    View in: PubMed
    Score: 0.156
  21. 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: 0.127
  22. Vegetable parenting practices vary by feeding styles among middle class mothers of young children. Appetite. 2022 04 01; 171:105850.
    View in: PubMed
    Score: 0.126
  23. Precision Food Parenting: A Proposed Conceptual Model and Research Agenda. Nutrients. 2021 Oct 19; 13(10).
    View in: PubMed
    Score: 0.125
  24. Validation of three food frequency questionnaires and 24-hour recalls with serum carotenoid levels in a sample of African-American adults. Am J Epidemiol. 2000 Dec 01; 152(11):1072-80.
    View in: PubMed
    Score: 0.118
  25. Calibration of the food parenting practice (FPP) item bank: tools for improving the measurement of food parenting practices of parents of 5-12-year-old children. Int J Behav Nutr Phys Act. 2020 11 16; 17(1):140.
    View in: PubMed
    Score: 0.117
  26. Process evaluations of the 5-a-day projects. Health Educ Behav. 2000 Apr; 27(2):157-66.
    View in: PubMed
    Score: 0.112
  27. Exploring food preparation practices in families with and without school-aged childhood cancer survivors. Public Health Nutr. 2020 02; 23(3):410-415.
    View in: PubMed
    Score: 0.108
  28. Meal planning values impacted by the cancer experience in families with school-aged survivors-a qualitative exploration and recommendations for intervention development. Support Care Cancer. 2020 Mar; 28(3):1305-1313.
    View in: PubMed
    Score: 0.107
  29. Teaching Parents About Responsive Feeding Through a Vicarious Learning Video: A Pilot Randomized Controlled Trial. Health Educ Behav. 2018 04; 45(2):229-237.
    View in: PubMed
    Score: 0.093
  30. 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: 0.092
  31. Development of an item bank for food parenting practices based on published instruments and reports from Canadian and US parents. Appetite. 2016 08 01; 103:386-395.
    View in: PubMed
    Score: 0.086
  32. Assessing Feedback in a Mobile Videogame. Games Health J. 2016 Jun; 5(3):203-8.
    View in: PubMed
    Score: 0.085
  33. Might Video Games Help Remedy Childhood Obesity? Child Obes. 2015 Aug; 11(4):331-4.
    View in: PubMed
    Score: 0.080
  34. 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: 0.079
  35. Validation of the Portuguese self-administered computerised 24-hour dietary recall among second-, third- and fourth-grade children. J Hum Nutr Diet. 2015 Dec; 28(6):666-74.
    View in: PubMed
    Score: 0.078
  36. 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: 0.075
  37. 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: 0.071
  38. A model of goal directed vegetable parenting practices. Appetite. 2012 Apr; 58(2):444-9.
    View in: PubMed
    Score: 0.063
  39. Health professionals' and dietetics practitioners' perceived effectiveness of fruit and vegetable parenting practices across six countries. J Am Diet Assoc. 2010 Jul; 110(7):1065-71.
    View in: PubMed
    Score: 0.057
  40. Parenting practices are associated with fruit and vegetable consumption in pre-school children. Public Health Nutr. 2010 Jan; 13(1):91-101.
    View in: PubMed
    Score: 0.053
  41. Fruit and vegetable availability: a micro environmental mediating variable? Public Health Nutr. 2007 Jul; 10(7):681-9.
    View in: PubMed
    Score: 0.045
  42. Does participation in an intervention affect responses on self-report questionnaires? Health Educ Res. 2006 Dec; 21 Suppl 1:i98-109.
    View in: PubMed
    Score: 0.044
  43. Squire's Quest: intervention changes occurred at lunch and snack meals. Appetite. 2005 Oct; 45(2):148-51.
    View in: PubMed
    Score: 0.041
  44. Physical activity and health enhancing dietary behaviors in young adults: Bogalusa Heart Study. Prev Med. 2005 Jul; 41(1):194-202.
    View in: PubMed
    Score: 0.039
  45. Changes in food group consumption patterns from childhood to young adulthood: the Bogalusa Heart Study. J Am Diet Assoc. 2004 Nov; 104(11):1684-91.
    View in: PubMed
    Score: 0.039
  46. Anthropometric, parental, and psychosocial correlates of dietary intake of African-American girls. Obes Res. 2004 Sep; 12 Suppl:20S-31S.
    View in: PubMed
    Score: 0.038
  47. Children's food consumption patterns have changed over two decades (1973-1994): The Bogalusa heart study. J Am Diet Assoc. 2004 Jul; 104(7):1127-40.
    View in: PubMed
    Score: 0.038
  48. Evaluation of quality control procedures for 24-h dietary recalls: results from the Girls Health Enrichment Multisite Studies. Prev Med. 2004 May; 38 Suppl:S14-23.
    View in: PubMed
    Score: 0.037
  49. Validity and reliability of a behavior-based food coding system for measuring fruit, 100% fruit juice, vegetable, and sweetened beverage consumption: results from the Girls Health Enrichment Multisite Studies. Prev Med. 2004 May; 38 Suppl:S24-33.
    View in: PubMed
    Score: 0.037
  50. Measurement characteristics of diet-related psychosocial questionnaires among African-American parents and their 8- to 10-year-old daughters: results from the Girls' health Enrichment Multi-site Studies. Prev Med. 2004 May; 38 Suppl:S34-42.
    View in: PubMed
    Score: 0.037
  51. Psychometric properties of optimism and pessimism: results from the Girls' Health Enrichment Multisite Studies. Prev Med. 2004 May; 38 Suppl:S69-77.
    View in: PubMed
    Score: 0.037
  52. Social desirability bias in self-reported dietary, physical activity and weight concerns measures in 8- to 10-year-old African-American girls: results from the Girls Health Enrichment Multisite Studies (GEMS). Prev Med. 2004 May; 38 Suppl:S78-87.
    View in: PubMed
    Score: 0.037
  53. Children's meal patterns have changed over a 21-year period: the Bogalusa Heart Study. J Am Diet Assoc. 2004 May; 104(5):753-61.
    View in: PubMed
    Score: 0.037
  54. Goal setting is differentially related to change in fruit, juice, and vegetable consumption among fourth-grade children. Health Educ Behav. 2004 Apr; 31(2):258-69.
    View in: PubMed
    Score: 0.037
  55. Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring. IEEE Trans Cybern. 2024 Feb; 54(2):679-692.
    View in: PubMed
    Score: 0.037
  56. Are precontemplators less likely to change their dietary behavior? A prospective analysis. Health Educ Res. 2003 Dec; 18(6):693-705.
    View in: PubMed
    Score: 0.036
  57. Eating patterns and obesity in children. The Bogalusa Heart Study. Am J Prev Med. 2003 Jul; 25(1):9-16.
    View in: PubMed
    Score: 0.035
  58. The Fun, Food, and Fitness Project (FFFP): the Baylor GEMS pilot study. Ethn Dis. 2003; 13(1 Suppl 1):S30-9.
    View in: PubMed
    Score: 0.034
  59. Ethnic differences in social correlates of diet. Health Educ Res. 2002 Feb; 17(1):7-18.
    View in: PubMed
    Score: 0.032
  60. SmartFeeding4Kids, an online self-guided parenting intervention to promote positive feeding practices and healthy diet in young children: study protocol for a randomized controlled trial. Trials. 2021 Dec 18; 22(1):930.
    View in: PubMed
    Score: 0.032
  61. Eating patterns, dietary quality and obesity. J Am Coll Nutr. 2001 Dec; 20(6):599-608.
    View in: PubMed
    Score: 0.032
  62. Family and child-care provider influences on preschool children's fruit, juice, and vegetable consumption. Nutr Rev. 2001 Jul; 59(7):224-35.
    View in: PubMed
    Score: 0.031
  63. Ecological and socioeconomic correlates of fruit, juice, and vegetable consumption among African-American boys. Prev Med. 2001 Jun; 32(6):476-81.
    View in: PubMed
    Score: 0.030
  64. Using goal setting as a strategy for dietary behavior change. J Am Diet Assoc. 2001 May; 101(5):562-6.
    View in: PubMed
    Score: 0.030
  65. Child-reported family and peer influences on fruit, juice and vegetable consumption: reliability and validity of measures. Health Educ Res. 2001 Apr; 16(2):187-200.
    View in: PubMed
    Score: 0.030
  66. Effect of a la carte and snack bar foods at school on children's lunchtime intake of fruits and vegetables. J Am Diet Assoc. 2000 Dec; 100(12):1482-6.
    View in: PubMed
    Score: 0.029
  67. Gimme 5 fruit, juice, and vegetables for fun and health: outcome evaluation. Health Educ Behav. 2000 Feb; 27(1):96-111.
    View in: PubMed
    Score: 0.028
  68. "5 A Day" achievement badge for urban boy scouts: formative evaluation results. J Cancer Educ. 1998; 13(3):162-8.
    View in: PubMed
    Score: 0.024
  69. 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: 0.018
  70. Food category purchases vary by household education and race/ethnicity: results from grocery receipts. J Am Diet Assoc. 2007 Oct; 107(10):1747-52.
    View in: PubMed
    Score: 0.012
  71. Psychosocial and demographic predictors of fruit, juice and vegetable consumption among 11-14-year-old Boy Scouts. Public Health Nutr. 2007 Dec; 10(12):1508-14.
    View in: PubMed
    Score: 0.012
  72. Influences on diet and physical activity among middle-class African American 8- to 10-year-old girls at risk of becoming obese. J Nutr Educ Behav. 2003 May-Jun; 35(3):115-23.
    View in: PubMed
    Score: 0.009
  73. Socioenvironmental influences on children's fruit, juice and vegetable consumption as reported by parents: reliability and validity of measures. Public Health Nutr. 2000 Sep; 3(3):345-56.
    View in: PubMed
    Score: 0.007
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.