Connection

TOM BARANOWSKI to Male

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

1.306
  1. Simple Energy Balance or Microbiome for Childhood Obesity Prevention? Nutrients. 2021 Aug 09; 13(8).
    View in: PubMed
    Score: 0.025
  2. 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: 0.025
  3. Exploring Determinants of Parent Behaviors During Eating Episodes. J Nutr Educ Behav. 2020 03; 52(3):240-248.
    View in: PubMed
    Score: 0.022
  4. 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: 0.022
  5. Videogames That Encourage Healthy Behavior Did Not Alter Fasting Insulin or Other Diabetes Risks in Children: Randomized Clinical Trial. Games Health J. 2019 Aug; 8(4):257-264.
    View in: PubMed
    Score: 0.021
  6. 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: 0.021
  7. 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: 0.020
  8. 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: 0.020
  9. 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: 0.020
  10. Participant Outcomes from Methods of Recruitment for Videogame Research. Games Health J. 2018 Feb; 7(1):16-23.
    View in: PubMed
    Score: 0.019
  11. Parents' Qualitative Perspectives on Child Asking for Fruit and Vegetables. Nutrients. 2017 Jun 05; 9(6).
    View in: PubMed
    Score: 0.019
  12. 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: 0.018
  13. 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: 0.018
  14. [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: 0.018
  15. Assessing Feedback in a Mobile Videogame. Games Health J. 2016 Jun; 5(3):203-8.
    View in: PubMed
    Score: 0.017
  16. Vegetable parenting practices scale. Item response modeling analyses. Appetite. 2015 Aug; 91:190-9.
    View in: PubMed
    Score: 0.016
  17. The Automated Self-Administered 24-Hour Dietary Recall for Children, 2012 Version, for Youth Aged 9 to 11 Years: A Validation Study. J Acad Nutr Diet. 2015 Oct; 115(10):1591-8.
    View in: PubMed
    Score: 0.016
  18. Prose Fiction as a Narrative Companion for a Vegetable Parenting Videogame. Games Health J. 2015 Aug; 4(4):305-11.
    View in: PubMed
    Score: 0.016
  19. Are active video games useful to combat obesity? Am J Clin Nutr. 2015 Jun; 101(6):1107-8.
    View in: PubMed
    Score: 0.016
  20. Seasonal variability in weight change during elementary school. Obesity (Silver Spring). 2015 Feb; 23(2):422-8.
    View in: PubMed
    Score: 0.016
  21. 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: 0.015
  22. 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: 0.015
  23. Environmental and cultural correlates of physical activity parenting practices among Latino parents with preschool-aged children: Ni?os Activos. BMC Public Health. 2014 Jul 10; 14:707.
    View in: PubMed
    Score: 0.015
  24. 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: 0.015
  25. 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: 0.015
  26. School year versus summer differences in child weight gain: a narrative review. Child Obes. 2014 Feb; 10(1):18-24.
    View in: PubMed
    Score: 0.015
  27. 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: 0.014
  28. 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: 0.014
  29. 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: 0.014
  30. Dimensions of vegetable parenting practices among preschoolers. Appetite. 2013 Oct; 69:89-93.
    View in: PubMed
    Score: 0.014
  31. 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: 0.014
  32. 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: 0.014
  33. 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: 0.014
  34. 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: 0.014
  35. Prospective BMI category change associated with cardiovascular fitness change. Med Sci Sports Exerc. 2013 Feb; 45(2):294-8.
    View in: PubMed
    Score: 0.014
  36. 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: 0.014
  37. Convergent validity of preschool children's television viewing measures among low-income Latino families: a cross-sectional study. Child Obes. 2013 Feb; 9(1):29-34.
    View in: PubMed
    Score: 0.014
  38. Correlates of adiposity among Latino preschool children. J Phys Act Health. 2014 Jan; 11(1):195-8.
    View in: PubMed
    Score: 0.014
  39. 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: 0.013
  40. Impact of an active video game on healthy children's physical activity. Pediatrics. 2012 Mar; 129(3):e636-42.
    View in: PubMed
    Score: 0.013
  41. The Children's Behavior Questionnaire very short scale: psychometric properties and development of a one-item temperament scale. Psychol Rep. 2012 Feb; 110(1):197-217.
    View in: PubMed
    Score: 0.013
  42. 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: 0.013
  43. A model of goal directed vegetable parenting practices. Appetite. 2012 Apr; 58(2):444-9.
    View in: PubMed
    Score: 0.013
  44. General versus central adiposity and relationship to pediatric metabolic risk. Metab Syndr Relat Disord. 2012 Apr; 10(2):128-36.
    View in: PubMed
    Score: 0.013
  45. 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: 0.013
  46. 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: 0.013
  47. Understanding the behavioral linkages needed for designing effective interventions to increase fruit and vegetable intake in diverse populations. J Am Diet Assoc. 2011 Oct; 111(10):1472-5.
    View in: PubMed
    Score: 0.013
  48. 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: 0.012
  49. Active video games for youth: a systematic review. J Phys Act Health. 2011 Jul; 8(5):724-37.
    View in: PubMed
    Score: 0.012
  50. Relationship of fruit and vegetable intake with adiposity: a systematic review. Obes Rev. 2011 May; 12(5):e143-50.
    View in: PubMed
    Score: 0.012
  51. 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: 0.012
  52. 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: 0.012
  53. Overeating styles and adiposity among multiethnic youth. Appetite. 2011 Feb; 56(1):71-7.
    View in: PubMed
    Score: 0.012
  54. 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: 0.012
  55. Parental involvement in interventions to improve child dietary intake: a systematic review. Prev Med. 2010 Aug; 51(2):103-11.
    View in: PubMed
    Score: 0.011
  56. 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: 0.011
  57. 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: 0.011
  58. Social support is a primary influence on home fruit, 100% juice, and vegetable availability. J Am Diet Assoc. 2008 Jul; 108(7):1231-5.
    View in: PubMed
    Score: 0.010
  59. Home fruit, juice, and vegetable pantry management and availability scales: a validation. Appetite. 2008 Mar-May; 50(2-3):266-77.
    View in: PubMed
    Score: 0.009
  60. 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: 0.009
  61. Parent outcome expectancies for purchasing fruit and vegetables: a validation. Public Health Nutr. 2007 Mar; 10(3):280-91.
    View in: PubMed
    Score: 0.009
  62. Fruit and vegetable shopping practices and social support scales: A validation. J Nutr Educ Behav. 2006 Nov-Dec; 38(6):340-51.
    View in: PubMed
    Score: 0.009
  63. 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: 0.009
  64. 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: 0.008
  65. Non-curricular approaches for increasing physical activity in youth: a review. Prev Med. 2004 Jul; 39(1):157-63.
    View in: PubMed
    Score: 0.008
  66. 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: 0.007
  67. Validation of a fruit, juice, and vegetable availability questionnaire. J Nutr Educ Behav. 2003 Mar-Apr; 35(2):93-7.
    View in: PubMed
    Score: 0.007
  68. Squire's Quest! Dietary outcome evaluation of a multimedia game. Am J Prev Med. 2003 Jan; 24(1):52-61.
    View in: PubMed
    Score: 0.007
  69. The food intake recording software system is valid among fourth-grade children. J Am Diet Assoc. 2002 Mar; 102(3):380-5.
    View in: PubMed
    Score: 0.006
  70. 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: 0.006
  71. A motivational interviewing intervention to increase fruit and vegetable intake through Black churches: results of the Eat for Life trial. Am J Public Health. 2001 Oct; 91(10):1686-93.
    View in: PubMed
    Score: 0.006
  72. A 7-item versus 31-item food frequency questionnaire for measuring fruit, juice, and vegetable intake among a predominantly African-American population. J Am Diet Assoc. 2001 Jul; 101(7):774-9.
    View in: PubMed
    Score: 0.006
  73. Pap?s Saludables, Ni?os Saludables: Perspectives From Hispanic Parents and Children in a Culturally Adapted Father-Focused Obesity Program. J Nutr Educ Behav. 2021 03; 53(3):246-253.
    View in: PubMed
    Score: 0.006
  74. 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: 0.006
  75. Feasibility of Targeting Hispanic Fathers and Children in an Obesity Intervention: Pap?s Saludables Ni?os Saludables. Child Obes. 2020 09; 16(6):379-392.
    View in: PubMed
    Score: 0.006
  76. 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: 0.006
  77. 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: 0.006
  78. Process evaluations of the 5-a-day projects. Health Educ Behav. 2000 Apr; 27(2):157-66.
    View in: PubMed
    Score: 0.006
  79. Model of goal directed behavior for limiting Latino preschoolers' television viewing: validity and reliability. BMC Public Health. 2020 Feb 05; 20(1):185.
    View in: PubMed
    Score: 0.006
  80. 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: 0.006
  81. Dietary change through African American churches: baseline results and program description of the eat for life trial. J Cancer Educ. 2000; 15(3):156-63.
    View in: PubMed
    Score: 0.006
  82. 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: 0.005
  83. 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: 0.005
  84. 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: 0.005
  85. 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: 0.005
  86. What do US and Canadian parents do to encourage or discourage physical activity among their 5-12?Year old children? BMC Public Health. 2017 Dec 01; 17(1):920.
    View in: PubMed
    Score: 0.005
  87. 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: 0.005
  88. Association Between Sleep Duration and Body Mass Index Among US Low-Income Preschoolers. Obesity (Silver Spring). 2017 10; 25(10):1770-1775.
    View in: PubMed
    Score: 0.005
  89. Tracing How Normative Messages May Influence Physical Activity Intention. J Sport Exerc Psychol. 2017 Apr; 39(2):89-96.
    View in: PubMed
    Score: 0.005
  90. Conceptualizing physical activity parenting practices using expert informed concept mapping analysis. BMC Public Health. 2017 06 14; 17(1):574.
    View in: PubMed
    Score: 0.005
  91. 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: 0.005
  92. Story Immersion May Be Effective in Promoting Diet and Physical Activity in Chinese Children. J Nutr Educ Behav. 2017 04; 49(4):321-329.e1.
    View in: PubMed
    Score: 0.005
  93. Acculturation and weight change in Asian-American children: Evidence from the ECLS-K:2011. Prev Med. 2017 Jun; 99:286-292.
    View in: PubMed
    Score: 0.005
  94. 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: 0.004
  95. 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: 0.004
  96. Obesity status trajectory groups among elementary school children. BMC Public Health. 2016 07 07; 16:526.
    View in: PubMed
    Score: 0.004
  97. Texting to Increase Adolescent Physical Activity: Feasibility Assessment. Am J Health Behav. 2016 07; 40(4):472-83.
    View in: PubMed
    Score: 0.004
  98. 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: 0.004
  99. 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: 0.004
  100. Psychosocial aspects of type 1 diabetes in Latino- and Asian-American youth. Pediatr Res. 2016 09; 80(3):347-55.
    View in: PubMed
    Score: 0.004
  101. Validation of the Physical Activity Questionnaire for Older Children (PAQ-C) among Chinese Children. Biomed Environ Sci. 2016 Mar; 29(3):177-86.
    View in: PubMed
    Score: 0.004
  102. 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: 0.004
  103. Acculturation and Plasma Fatty Acid Concentrations in Hispanic and Chinese-American Adults: The Multi-Ethnic Study of Atherosclerosis. PLoS One. 2016; 11(2):e0149267.
    View in: PubMed
    Score: 0.004
  104. Children's Cognitive and Affective Responses About a Narrative Versus a Non-Narrative Cartoon Designed for an Active Videogame. Games Health J. 2016 Apr; 5(2):114-9.
    View in: PubMed
    Score: 0.004
  105. The IDEFICS intervention trial to prevent childhood obesity: design and study methods. Obes Rev. 2015 Dec; 16 Suppl 2:4-15.
    View in: PubMed
    Score: 0.004
  106. 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: 0.004
  107. Acceptability and Applicability of an American Health Videogame with Story for Childhood Obesity Prevention Among Hong Kong Chinese Children. Games Health J. 2015 Dec; 4(6):513-9.
    View in: PubMed
    Score: 0.004
  108. Obesity status transitions across the elementary years: use of Markov chain modelling. Pediatr Obes. 2016 Apr; 11(2):88-94.
    View in: PubMed
    Score: 0.004
  109. 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: 0.004
  110. 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: 0.004
  111. A meta-analysis of serious digital games for healthy lifestyle promotion. Prev Med. 2014 Dec; 69:95-107.
    View in: PubMed
    Score: 0.004
  112. 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: 0.004
  113. Cardiometabolic risk assessments by body mass index z-score or waist-to-height ratio in a multiethnic sample of sixth-graders. J Obes. 2014; 2014:421658.
    View in: PubMed
    Score: 0.004
  114. Psychometrics of the preschooler physical activity parenting practices instrument among a Latino sample. Int J Behav Nutr Phys Act. 2014 Jan 15; 11:3.
    View in: PubMed
    Score: 0.004
  115. 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: 0.004
  116. Development and feasibility of an objective measure of patient-centered communication fidelity in a pediatric obesity intervention. J Nutr Educ Behav. 2013 Jul-Aug; 45(4):349-54.
    View in: PubMed
    Score: 0.003
  117. 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: 0.003
  118. Shifts in BMI category and associated cardiometabolic risk: prospective results from HEALTHY study. Pediatrics. 2012 Apr; 129(4):e983-91.
    View in: PubMed
    Score: 0.003
  119. Feasibility of an obesity intervention for paediatric primary care targeting parenting and children: Helping HAND. Child Care Health Dev. 2013 Jan; 39(1):141-9.
    View in: PubMed
    Score: 0.003
  120. The walking school bus and children's physical activity: a pilot cluster randomized controlled trial. Pediatrics. 2011 Sep; 128(3):e537-44.
    View in: PubMed
    Score: 0.003
  121. 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: 0.003
  122. 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: 0.003
  123. 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: 0.003
  124. Validity of instruments to assess students' travel and pedestrian safety. BMC Public Health. 2010 May 18; 10:257.
    View in: PubMed
    Score: 0.003
  125. 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: 0.003
  126. 6-n-Propylthiouracil sensitivity and obesity status among ethnically diverse children. Public Health Nutr. 2010 Oct; 13(10):1587-92.
    View in: PubMed
    Score: 0.003
  127. 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: 0.003
  128. 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: 0.003
  129. 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: 0.003
  130. 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: 0.002
  131. 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: 0.002
  132. 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: 0.002
  133. Mixed foods are similarly categorized by 8-13 year old children. Appetite. 2008 Mar-May; 50(2-3):316-24.
    View in: PubMed
    Score: 0.002
  134. 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: 0.002
  135. Measures of self-efficacy and norms for low-fat milk consumption are reliable and related to beverage consumption among 5th graders at school lunch. Public Health Nutr. 2008 Apr; 11(4):421-6.
    View in: PubMed
    Score: 0.002
  136. 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: 0.002
  137. Self-efficacy and norm measures for lunch fruit and vegetable consumption are reliable and valid among fifth grade students. J Nutr Educ Behav. 2007 Jan-Feb; 39(1):2-7.
    View in: PubMed
    Score: 0.002
  138. 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: 0.002
  139. 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: 0.002
  140. 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: 0.002
  141. 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: 0.002
  142. Food-purchasing patterns for home: a grocery store-intercept survey. Public Health Nutr. 2006 May; 9(3):384-93.
    View in: PubMed
    Score: 0.002
  143. 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: 0.002
  144. 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: 0.002
  145. Evaluation of internal medicine residents as exercise role models and associations with self-reported counseling behavior, confidence, and perceived success. Teach Learn Med. 2006; 18(3):215-21.
    View in: PubMed
    Score: 0.002
  146. Squire's Quest: intervention changes occurred at lunch and snack meals. Appetite. 2005 Oct; 45(2):148-51.
    View in: PubMed
    Score: 0.002
  147. Observed environmental features and the physical activity of adolescent males. Am J Prev Med. 2005 Aug; 29(2):98-104.
    View in: PubMed
    Score: 0.002
  148. 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: 0.002
  149. 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: 0.002
  150. 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: 0.002
  151. 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: 0.002
  152. Comparison of dietary intakes associated with metabolic syndrome risk factors in young adults: the Bogalusa Heart Study. Am J Clin Nutr. 2004 Oct; 80(4):841-8.
    View in: PubMed
    Score: 0.002
  153. Parental cultural perspectives in relation to weight-related behaviors and concerns of African-American girls. Obes Res. 2004 Sep; 12 Suppl:7S-19S.
    View in: PubMed
    Score: 0.002
  154. 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: 0.002
  155. 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: 0.002
  156. Eating patterns and obesity in children. The Bogalusa Heart Study. Am J Prev Med. 2003 Jul; 25(1):9-16.
    View in: PubMed
    Score: 0.002
  157. Ethnic differences in social correlates of diet. Health Educ Res. 2002 Feb; 17(1):7-18.
    View in: PubMed
    Score: 0.002
  158. Eating patterns, dietary quality and obesity. J Am Coll Nutr. 2001 Dec; 20(6):599-608.
    View in: PubMed
    Score: 0.002
  159. Using goal setting as a strategy for dietary behavior change. J Am Diet Assoc. 2001 May; 101(5):562-6.
    View in: PubMed
    Score: 0.002
  160. Risk factor distribution among sociodemographically diverse African American adults. J Urban Health. 2001 Mar; 78(1):125-40.
    View in: PubMed
    Score: 0.002
  161. 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: 0.001
  162. Social-environmental influences on children's diets: results from focus groups with African-, Euro- and Mexican-American children and their parents. Health Educ Res. 2000 Oct; 15(5):581-90.
    View in: PubMed
    Score: 0.001
  163. 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: 0.001
  164. Gimme 5 fruit and vegetables for fun and health: process evaluation. Health Educ Behav. 2000 Apr; 27(2):167-76.
    View in: PubMed
    Score: 0.001
  165. "5 A Day" achievement badge for urban boy scouts: formative evaluation results. J Cancer Educ. 1998; 13(3):162-8.
    View in: PubMed
    Score: 0.001
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.