Connection

TOM BARANOWSKI to Adolescent

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

1.640
  1. 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: 0.050
  2. 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: 0.047
  3. 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: 0.045
  4. 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: 0.043
  5. Relation Between Lead Exposure and Trends in Blood Pressure in Children. Am J Cardiol. 2018 12 01; 122(11):1890-1895.
    View in: PubMed
    Score: 0.043
  6. Dietary Assessment with a Wearable Camera?among Children: Feasibility and?Intercoder Reliability. J Acad Nutr Diet. 2018 11; 118(11):2144-2153.
    View in: PubMed
    Score: 0.042
  7. "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: 0.042
  8. Utility of eButton images for identifying food preparation behaviors and meal-related tasks in adolescents. Nutr J. 2018 02 24; 17(1):32.
    View in: PubMed
    Score: 0.041
  9. Parents' Qualitative Perspectives on Child Asking for Fruit and Vegetables. Nutrients. 2017 Jun 05; 9(6).
    View in: PubMed
    Score: 0.039
  10. 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: 0.039
  11. 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: 0.038
  12. [Prevention of overweight and obesity in children and adolescents : Critical appraisal of the evidence base]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2016 Nov; 59(11):1423-1431.
    View in: PubMed
    Score: 0.037
  13. Games for Health for Children-Current Status and Needed Research. Games Health J. 2016 Feb; 5(1):1-12.
    View in: PubMed
    Score: 0.034
  14. Might Video Games Help Remedy Childhood Obesity? Child Obes. 2015 Aug; 11(4):331-4.
    View in: PubMed
    Score: 0.034
  15. Games for Increasing Physical Activity: Mechanisms for Change. Games Health J. 2015 Feb; 4(1):1-2.
    View in: PubMed
    Score: 0.033
  16. 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: 0.031
  17. Food insecurity, CD4 counts, and incomplete viral suppression among HIV+ patients from Texas Children's Hospital: a pilot study. AIDS Behav. 2013 Jun; 17(5):1683-7.
    View in: PubMed
    Score: 0.030
  18. Longitudinal associations between BMI, waist circumference, and cardiometabolic risk in US youth: monitoring implications. Obesity (Silver Spring). 2013 Mar; 21(3):E271-9.
    View in: PubMed
    Score: 0.029
  19. The association between acanthosis nigricans and dysglycemia in an ethnically diverse group of eighth grade students. Obesity (Silver Spring). 2013 Mar; 21(3):E328-33.
    View in: PubMed
    Score: 0.029
  20. Lessons learned from the HEALTHY primary prevention trial of risk factors for type 2 diabetes in middle school youth. Curr Diab Rep. 2013 Feb; 13(1):63-71.
    View in: PubMed
    Score: 0.029
  21. Simulated adaptations to an adult dietary self-report tool to accommodate children: impact on nutrient estimates. J Am Coll Nutr. 2013; 32(2):92-7.
    View in: PubMed
    Score: 0.029
  22. 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: 0.027
  23. Let's get technical! Gaming and technology for weight control and health promotion in children. Child Obes. 2012 Feb; 8(1):34-7.
    View in: PubMed
    Score: 0.027
  24. General versus central adiposity and relationship to pediatric metabolic risk. Metab Syndr Relat Disord. 2012 Apr; 10(2):128-36.
    View in: PubMed
    Score: 0.027
  25. Components of the diet associated with child adiposity: a cross-sectional study. J Am Coll Nutr. 2011 Dec; 30(6):536-46.
    View in: PubMed
    Score: 0.027
  26. 6-n-propylthiouracil taster status not related to reported cruciferous vegetable intake among ethnically diverse children. Nutr Res. 2011 Aug; 31(8):594-600.
    View in: PubMed
    Score: 0.026
  27. Active video games for youth: a systematic review. J Phys Act Health. 2011 Jul; 8(5):724-37.
    View in: PubMed
    Score: 0.026
  28. Relationship of fruit and vegetable intake with adiposity: a systematic review. Obes Rev. 2011 May; 12(5):e143-50.
    View in: PubMed
    Score: 0.026
  29. 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: 0.025
  30. Overeating styles and adiposity among multiethnic youth. Appetite. 2011 Feb; 56(1):71-7.
    View in: PubMed
    Score: 0.025
  31. 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: 0.025
  32. Parental involvement in interventions to improve child dietary intake: a systematic review. Prev Med. 2010 Aug; 51(2):103-11.
    View in: PubMed
    Score: 0.024
  33. 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: 0.023
  34. 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: 0.023
  35. Engaging parents to increase youth physical activity a systematic review. Am J Prev Med. 2009 Aug; 37(2):141-9.
    View in: PubMed
    Score: 0.023
  36. Formative research of a quick list for an automated self-administered 24-hour dietary recall. J Am Diet Assoc. 2007 Jun; 107(6):1002-7.
    View in: PubMed
    Score: 0.019
  37. Advances in basic behavioral research will make the most important contributions to effective dietary change programs at this time. J Am Diet Assoc. 2006 Jun; 106(6):808-11.
    View in: PubMed
    Score: 0.018
  38. Presence of diabetes risk factors in a large U.S. eighth-grade cohort. Diabetes Care. 2006 Feb; 29(2):212-7.
    View in: PubMed
    Score: 0.018
  39. The impact of narratives and active video games among black and hispanic children with overweight and obesity: a randomized controlled trial. Int J Behav Nutr Phys Act. 2025 May 26; 22(1):60.
    View in: PubMed
    Score: 0.017
  40. 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: 0.016
  41. Non-curricular approaches for increasing physical activity in youth: a review. Prev Med. 2004 Jul; 39(1):157-63.
    View in: PubMed
    Score: 0.016
  42. 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: 0.015
  43. 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: 0.014
  44. 5 a day Achievement Badge for African-American Boy Scouts: pilot outcome results. Prev Med. 2002 Mar; 34(3):353-63.
    View in: PubMed
    Score: 0.014
  45. 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: 0.013
  46. 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: 0.012
  47. GO GIRLS!: results from a nutrition and physical activity program for low-income, overweight African American adolescent females. Health Educ Behav. 2000 Oct; 27(5):616-31.
    View in: PubMed
    Score: 0.012
  48. The Healthy Cooking Index: Nutrition Optimizing Home Food Preparation Practices across Multiple Data Collection Methods. J Acad Nutr Diet. 2020 07; 120(7):1119-1132.
    View in: PubMed
    Score: 0.012
  49. Process evaluations of the 5-a-day projects. Health Educ Behav. 2000 Apr; 27(2):157-66.
    View in: PubMed
    Score: 0.012
  50. 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: 0.011
  51. 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: 0.011
  52. 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: 0.011
  53. Intergenerational Effects of Health Issues Among Women of Childbearing Age: a Review of the Recent Literature. Curr Nutr Rep. 2018 12; 7(4):274-285.
    View in: PubMed
    Score: 0.011
  54. Advances and Controversies in Diet and Physical Activity Measurement in Youth. Am J Prev Med. 2018 10; 55(4):e81-e91.
    View in: PubMed
    Score: 0.011
  55. 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: 0.010
  56. Association between sleep and overweight/obesity among women of childbearing age in Canada. Can J Public Health. 2018 08; 109(4):516-526.
    View in: PubMed
    Score: 0.010
  57. Individual Correlates of Sleep Among Childbearing Age Women in Canada. Behav Sleep Med. 2019 Sep-Oct; 17(5):634-645.
    View in: PubMed
    Score: 0.010
  58. Item response modeling: a psychometric assessment of the children's fruit, vegetable, water, and physical activity self-efficacy scales among Chinese children. Int J Behav Nutr Phys Act. 2017 09 16; 14(1):126.
    View in: PubMed
    Score: 0.010
  59. Tracing How Normative Messages May Influence Physical Activity Intention. J Sport Exerc Psychol. 2017 Apr; 39(2):89-96.
    View in: PubMed
    Score: 0.010
  60. Psychological Correlates of Self-Reported and Objectively Measured Physical Activity among Chinese Children-Psychological Correlates of PA. Int J Environ Res Public Health. 2016 10 13; 13(10).
    View in: PubMed
    Score: 0.009
  61. Texting to Increase Adolescent Physical Activity: Feasibility Assessment. Am J Health Behav. 2016 07; 40(4):472-83.
    View in: PubMed
    Score: 0.009
  62. Applying the Model of Goal-Directed Behavior, Including Descriptive Norms, to Physical Activity Intentions: A Contribution to Improving the Theory of Planned Behavior. Psychol Rep. 2016 Aug; 119(1):5-26.
    View in: PubMed
    Score: 0.009
  63. Psychosocial aspects of type 1 diabetes in Latino- and Asian-American youth. Pediatr Res. 2016 09; 80(3):347-55.
    View in: PubMed
    Score: 0.009
  64. Parental involvement in exercise and diet interventions for childhood cancer survivors: a systematic review. Pediatr Res. 2016 09; 80(3):338-46.
    View in: PubMed
    Score: 0.009
  65. Influence of behavioral theory on fruit and vegetable intervention effectiveness among children: a meta-analysis. J Nutr Educ Behav. 2014 Nov-Dec; 46(6):506-46.
    View in: PubMed
    Score: 0.008
  66. Is anybody doing it? An experimental study of the effect of normative messages on intention to do physical activity. BMC Public Health. 2014 Jul 31; 14:778.
    View in: PubMed
    Score: 0.008
  67. BMI change, fitness change and cardiometabolic risk factors among 8th grade youth. Pediatr Exerc Sci. 2013 Feb; 25(1):52-68.
    View in: PubMed
    Score: 0.007
  68. Active commuting to school and association with physical activity and adiposity among US youth. J Phys Act Health. 2011 May; 8(4):488-95.
    View in: PubMed
    Score: 0.006
  69. 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: 0.006
  70. Severe obesity and selected risk factors in a sixth grade multiracial cohort: the HEALTHY study. J Adolesc Health. 2010 Dec; 47(6):604-7.
    View in: PubMed
    Score: 0.006
  71. 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: 0.006
  72. Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall. J Am Diet Assoc. 2010 Jan; 110(1):55-64.
    View in: PubMed
    Score: 0.006
  73. 6-n-Propylthiouracil sensitivity and obesity status among ethnically diverse children. Public Health Nutr. 2010 Oct; 13(10):1587-92.
    View in: PubMed
    Score: 0.006
  74. 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: 0.006
  75. Grains are similarly categorized by 8- to 13-year-old children. J Am Diet Assoc. 2008 Nov; 108(11):1921-6.
    View in: PubMed
    Score: 0.005
  76. Fruit and vegetables are similarly categorised by 8-13-year-old children. Public Health Nutr. 2009 Feb; 12(2):175-87.
    View in: PubMed
    Score: 0.005
  77. Diverse food items are similarly categorized by 8- to 13-year-old children. J Nutr Educ Behav. 2008 May-Jun; 40(3):149-59.
    View in: PubMed
    Score: 0.005
  78. Mixed foods are similarly categorized by 8-13 year old children. Appetite. 2008 Mar-May; 50(2-3):316-24.
    View in: PubMed
    Score: 0.005
  79. 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: 0.005
  80. Decision boundaries and receiver operating characteristic curves: new methods for determining accelerometer cutpoints. J Sports Sci. 2007 Jun; 25(8):937-44.
    View in: PubMed
    Score: 0.005
  81. 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: 0.005
  82. Observed, GIS, and self-reported environmental features and adolescent physical activity. Am J Health Promot. 2006 Jul-Aug; 20(6):422-8.
    View in: PubMed
    Score: 0.005
  83. Pedometer reliability, validity and daily activity targets among 10- to 15-year-old boys. J Sports Sci. 2006 Mar; 24(3):241-51.
    View in: PubMed
    Score: 0.004
  84. 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: 0.004
  85. Observed environmental features and the physical activity of adolescent males. Am J Prev Med. 2005 Aug; 29(2):98-104.
    View in: PubMed
    Score: 0.004
  86. Adolescent patterns of physical activity differences by gender, day, and time of day. Am J Prev Med. 2005 Jun; 28(5):447-52.
    View in: PubMed
    Score: 0.004
  87. 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: 0.004
  88. Eating patterns and obesity in children. The Bogalusa Heart Study. Am J Prev Med. 2003 Jul; 25(1):9-16.
    View in: PubMed
    Score: 0.004
  89. Common design elements of the Girls health Enrichment Multi-site Studies (GEMS). Ethn Dis. 2003; 13(1 Suppl 1):S6-14.
    View in: PubMed
    Score: 0.004
  90. Eating patterns, dietary quality and obesity. J Am Coll Nutr. 2001 Dec; 20(6):599-608.
    View in: PubMed
    Score: 0.003
  91. 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: 0.003
  92. Risk factor distribution among sociodemographically diverse African American adults. J Urban Health. 2001 Mar; 78(1):125-40.
    View in: PubMed
    Score: 0.003
  93. "5 A Day" achievement badge for urban boy scouts: formative evaluation results. J Cancer Educ. 1998; 13(3):162-8.
    View in: PubMed
    Score: 0.003
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.