Connection

TOM BARANOWSKI to Humans

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

2.032
  1. Social marketing and the challenges of participant recruitment. Transl Behav Med. 2024 Jul 27; 14(8):499-504.
    View in: PubMed
    Score: 0.026
  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: 0.024
  3. 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: 0.022
  4. Vegetable parenting practices vary by feeding styles among middle class mothers of young children. Appetite. 2022 04 01; 171:105850.
    View in: PubMed
    Score: 0.022
  5. Precision Food Parenting: A Proposed Conceptual Model and Research Agenda. Nutrients. 2021 Oct 19; 13(10).
    View in: PubMed
    Score: 0.021
  6. Simple Energy Balance or Microbiome for Childhood Obesity Prevention? Nutrients. 2021 Aug 09; 13(8).
    View in: PubMed
    Score: 0.021
  7. 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: 0.021
  8. 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: 0.020
  9. 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: 0.020
  10. Exploring Determinants of Parent Behaviors During Eating Episodes. J Nutr Educ Behav. 2020 03; 52(3):240-248.
    View in: PubMed
    Score: 0.019
  11. 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: 0.019
  12. 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: 0.019
  13. Public Health Procedures, Alone, Will Not Prevent Child Obesity. Child Obes. 2019 09; 15(6):359-362.
    View in: PubMed
    Score: 0.018
  14. Scoping Review of Pok?mon Go: Comprehensive Assessment of Augmented Reality for Physical Activity Change. Games Health J. 2020 Apr; 9(2):71-84.
    View in: PubMed
    Score: 0.018
  15. 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: 0.018
  16. 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: 0.018
  17. 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: 0.018
  18. Behavioral Research Agenda in a Multietiological Approach to Child Obesity Prevention. Child Obes. 2019 May/Jun; 15(4):223-226.
    View in: PubMed
    Score: 0.018
  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: 0.018
  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: 0.017
  21. Nutrition Education and Dietary Behavior Change Games: A Scoping Review. Games Health J. 2019 Jun; 8(3):153-176.
    View in: PubMed
    Score: 0.017
  22. 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: 0.017
  23. 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: 0.017
  24. "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: 0.017
  25. 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: 0.017
  26. Reliability and validity of food portion size estimation from images using manual flexible digital virtual meshes. Public Health Nutr. 2019 05; 22(7):1153-1159.
    View in: PubMed
    Score: 0.017
  27. Participant Outcomes from Methods of Recruitment for Videogame Research. Games Health J. 2018 Feb; 7(1):16-23.
    View in: PubMed
    Score: 0.017
  28. Childhood Obesity Prevention: Changing the Focus. Child Obes. 2018 01; 14(1):1-3.
    View in: PubMed
    Score: 0.016
  29. Parents' Qualitative Perspectives on Child Asking for Fruit and Vegetables. Nutrients. 2017 Jun 05; 9(6).
    View in: PubMed
    Score: 0.016
  30. 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: 0.016
  31. Getting Research on Games for Health Funded. Games Health J. 2017 Feb; 6(1):1-8.
    View in: PubMed
    Score: 0.015
  32. 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: 0.015
  33. [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: 0.015
  34. Types of Articles for Publishing Your G4H. Games Health J. 2016 Aug; 5(4):237-40.
    View in: PubMed
    Score: 0.015
  35. Assessing Feedback in a Mobile Videogame. Games Health J. 2016 Jun; 5(3):203-8.
    View in: PubMed
    Score: 0.015
  36. 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: 0.014
  37. Fun and Games. Games Health J. 2015 Dec; 4(6):421-2.
    View in: PubMed
    Score: 0.014
  38. The IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS) trial outcomes and process evaluations. Obes Rev. 2015 Dec; 16 Suppl 2:2-3.
    View in: PubMed
    Score: 0.014
  39. Should the IDEFICS outcomes have been expected? Obes Rev. 2015 Dec; 16 Suppl 2:162-72.
    View in: PubMed
    Score: 0.014
  40. Games for Health for Children-Current Status and Needed Research. Games Health J. 2016 Feb; 5(1):1-12.
    View in: PubMed
    Score: 0.014
  41. Might Video Games Help Remedy Childhood Obesity? Child Obes. 2015 Aug; 11(4):331-4.
    View in: PubMed
    Score: 0.014
  42. Vegetable parenting practices scale. Item response modeling analyses. Appetite. 2015 Aug; 91:190-9.
    View in: PubMed
    Score: 0.014
  43. 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: 0.014
  44. Prose Fiction as a Narrative Companion for a Vegetable Parenting Videogame. Games Health J. 2015 Aug; 4(4):305-11.
    View in: PubMed
    Score: 0.014
  45. Sexual Health in the 21st Century. Games Health J. 2015 Apr; 4(2):67-8.
    View in: PubMed
    Score: 0.014
  46. Are active video games useful to combat obesity? Am J Clin Nutr. 2015 Jun; 101(6):1107-8.
    View in: PubMed
    Score: 0.014
  47. Seasonal variability in weight change during elementary school. Obesity (Silver Spring). 2015 Feb; 23(2):422-8.
    View in: PubMed
    Score: 0.013
  48. Games for Increasing Physical Activity: Mechanisms for Change. Games Health J. 2015 Feb; 4(1):1-2.
    View in: PubMed
    Score: 0.013
  49. 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: 0.013
  50. 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: 0.013
  51. 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: 0.013
  52. 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: 0.013
  53. 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: 0.013
  54. 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: 0.012
  55. School year versus summer differences in child weight gain: a narrative review. Child Obes. 2014 Feb; 10(1):18-24.
    View in: PubMed
    Score: 0.012
  56. 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: 0.012
  57. 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: 0.012
  58. 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: 0.012
  59. Houston... We have a problem! Measurement of parenting. Child Obes. 2013 Aug; 9 Suppl:S1-4.
    View in: PubMed
    Score: 0.012
  60. 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: 0.012
  61. Dimensions of vegetable parenting practices among preschoolers. Appetite. 2013 Oct; 69:89-93.
    View in: PubMed
    Score: 0.012
  62. 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: 0.012
  63. 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: 0.012
  64. 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: 0.012
  65. 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: 0.012
  66. Prospective BMI category change associated with cardiovascular fitness change. Med Sci Sports Exerc. 2013 Feb; 45(2):294-8.
    View in: PubMed
    Score: 0.012
  67. 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: 0.012
  68. 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: 0.012
  69. 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: 0.012
  70. Correlates of adiposity among Latino preschool children. J Phys Act Health. 2014 Jan; 11(1):195-8.
    View in: PubMed
    Score: 0.012
  71. 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: 0.011
  72. 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: 0.011
  73. 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: 0.011
  74. Impact of an active video game on healthy children's physical activity. Pediatrics. 2012 Mar; 129(3):e636-42.
    View in: PubMed
    Score: 0.011
  75. 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: 0.011
  76. 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: 0.011
  77. 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: 0.011
  78. A model of goal directed vegetable parenting practices. Appetite. 2012 Apr; 58(2):444-9.
    View in: PubMed
    Score: 0.011
  79. General versus central adiposity and relationship to pediatric metabolic risk. Metab Syndr Relat Disord. 2012 Apr; 10(2):128-36.
    View in: PubMed
    Score: 0.011
  80. 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: 0.011
  81. 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: 0.011
  82. 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: 0.011
  83. 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: 0.011
  84. Active video games for youth: a systematic review. J Phys Act Health. 2011 Jul; 8(5):724-37.
    View in: PubMed
    Score: 0.010
  85. Relationship of fruit and vegetable intake with adiposity: a systematic review. Obes Rev. 2011 May; 12(5):e143-50.
    View in: PubMed
    Score: 0.010
  86. 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: 0.010
  87. 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: 0.010
  88. 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: 0.010
  89. Overeating styles and adiposity among multiethnic youth. Appetite. 2011 Feb; 56(1):71-7.
    View in: PubMed
    Score: 0.010
  90. 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: 0.010
  91. Interactive media for childhood obesity prevention. Health Commun. 2010 Sep; 25(6-7):581-2.
    View in: PubMed
    Score: 0.010
  92. Parental involvement in interventions to improve child dietary intake: a systematic review. Prev Med. 2010 Aug; 51(2):103-11.
    View in: PubMed
    Score: 0.010
  93. Need for technological innovation in dietary assessment. J Am Diet Assoc. 2010 Jan; 110(1):48-51.
    View in: PubMed
    Score: 0.009
  94. 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: 0.009
  95. 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: 0.009
  96. Engaging parents to increase youth physical activity a systematic review. Am J Prev Med. 2009 Aug; 37(2):141-9.
    View in: PubMed
    Score: 0.009
  97. How many days was that? We're still not sure, but we're asking the question better! Med Sci Sports Exerc. 2008 Jul; 40(7 Suppl):S544-9.
    View in: PubMed
    Score: 0.008
  98. 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: 0.008
  99. 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: 0.008
  100. Pediatric obesity: finding the causes and contexts. Int J Pediatr Obes. 2008; 3(4):194-5.
    View in: PubMed
    Score: 0.008
  101. 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: 0.008
  102. 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: 0.008
  103. Parent outcome expectancies for purchasing fruit and vegetables: a validation. Public Health Nutr. 2007 Mar; 10(3):280-91.
    View in: PubMed
    Score: 0.008
  104. 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: 0.008
  105. 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: 0.008
  106. 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: 0.007
  107. 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: 0.007
  108. Understanding the mechanisms of change in children's physical activity programs. Exerc Sport Sci Rev. 2005 Oct; 33(4):163-8.
    View in: PubMed
    Score: 0.007
  109. The 'new nutrition' and physical activity. Public Health Nutr. 2005 Oct; 8(7):805-7.
    View in: PubMed
    Score: 0.007
  110. Integration of two models, or dominance of one? J Health Psychol. 2005 Jan; 10(1):19-21; discussion 37-43.
    View in: PubMed
    Score: 0.007
  111. Validation studies of the FLASH-TV system to passively measure children's TV viewing. Sci Rep. 2024 11 30; 14(1):29805.
    View in: PubMed
    Score: 0.007
  112. 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 08 12; 24(1):2172.
    View in: PubMed
    Score: 0.006
  113. Non-curricular approaches for increasing physical activity in youth: a review. Prev Med. 2004 Jul; 39(1):157-63.
    View in: PubMed
    Score: 0.006
  114. Measurement of outcomes, mediators, and moderators in behavioral obesity prevention research. Prev Med. 2004 May; 38 Suppl:S1-13.
    View in: PubMed
    Score: 0.006
  115. 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: 0.006
  116. 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: 0.006
  117. Evaluation of Acceptability, Functionality, and Validity of a Passive Image-Based Dietary Intake Assessment Method in Adults and Children of Ghanaian and Kenyan Origin Living in London, UK. Nutrients. 2023 Sep 20; 15(18).
    View in: PubMed
    Score: 0.006
  118. Validated assessment tools for screen media use: A systematic review. PLoS One. 2023; 18(4):e0283714.
    View in: PubMed
    Score: 0.006
  119. Validation of a fruit, juice, and vegetable availability questionnaire. J Nutr Educ Behav. 2003 Mar-Apr; 35(2):93-7.
    View in: PubMed
    Score: 0.006
  120. 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: 0.006
  121. Squire's Quest! Dietary outcome evaluation of a multimedia game. Am J Prev Med. 2003 Jan; 24(1):52-61.
    View in: PubMed
    Score: 0.006
  122. 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: 0.006
  123. 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: 0.006
  124. 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: 0.006
  125. Measurement and health locus of control among children. J Dev Behav Pediatr. 2002 Jun; 23(3):163-5; discussion 166.
    View in: PubMed
    Score: 0.006
  126. 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: 0.006
  127. 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: 0.005
  128. 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: 0.005
  129. A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation. Sensors (Basel). 2022 Feb 15; 22(4).
    View in: PubMed
    Score: 0.005
  130. Ethnicity and children's health: hope for the future. Ethn Dis. 2002; 12(2):174-6.
    View in: PubMed
    Score: 0.005
  131. 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: 0.005
  132. 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: 0.005
  133. 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: 0.005
  134. 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: 0.005
  135. 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: 0.005
  136. 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: 0.005
  137. 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: 0.005
  138. The physical activity parenting practices (PAPP) item Bank: a psychometrically validated tool for improving the measurement of physical activity parenting practices of parents of 5-12-year-old children. Int J Behav Nutr Phys Act. 2020 11 04; 17(1):134.
    View in: PubMed
    Score: 0.005
  139. 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: 0.005
  140. How many days was that? Intra-individual variability and physical activity assessment. Res Q Exerc Sport. 2000 Jun; 71(2 Suppl):S74-8.
    View in: PubMed
    Score: 0.005
  141. 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: 0.005
  142. 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: 0.005
  143. 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: 0.005
  144. Process evaluations of the 5-a-day projects. Health Educ Behav. 2000 Apr; 27(2):157-66.
    View in: PubMed
    Score: 0.005
  145. 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: 0.005
  146. 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: 0.005
  147. 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: 0.005
  148. 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
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  149. Best Practices for Conducting and Interpreting Studies to Validate Self-Report Dietary Assessment Methods. J Acad Nutr Diet. 2019 11; 119(11):1801-1816.
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  150. Childhood obesity intervention studies: A narrative review and guide for investigators, authors, editors, reviewers, journalists, and readers to guard against exaggerated effectiveness claims. Obes Rev. 2019 11; 20(11):1523-1541.
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  151. 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.
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  152. 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.
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  153. 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.
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  154. Establishing Validity and Cross-Context Equivalence of Measures and Indicators. J Acad Nutr Diet. 2019 11; 119(11):1817-1830.
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  155. Role of Digital Games in Self-Management of Cardiovascular Diseases: A Scoping Review. Games Health J. 2019 Apr; 8(2):65-73.
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  156. Advances and Controversies in Diet and Physical Activity Measurement in Youth. Am J Prev Med. 2018 10; 55(4):e81-e91.
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  157. 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.
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  158. Association between sleep and overweight/obesity among women of childbearing age in Canada. Can J Public Health. 2018 08; 109(4):516-526.
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  159. Associations Among Sleep, Body Mass Index, Waist Circumference, and Risk of Type 2 Diabetes Among U.S. Childbearing-Age Women: National Health and Nutrition Examination Survey. J Womens Health (Larchmt). 2018 11; 27(11):1400-1407.
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  160. Automatic food detection in egocentric images using artificial intelligence technology. Public Health Nutr. 2019 05; 22(7):1168-1179.
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  161. Individual Correlates of Sleep Among Childbearing Age Women in Canada. Behav Sleep Med. 2019 Sep-Oct; 17(5):634-645.
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  162. 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.
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  163. Impact of child summertime obesity interventions on body mass index, and weight-related behaviours: a systematic review and meta-analysis protocol. BMJ Open. 2017 Oct 22; 7(10):e017144.
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  164. 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.
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  165. Food parenting practices for 5 to 12?year old children: a concept map analysis of parenting and nutrition experts input. Int J Behav Nutr Phys Act. 2017 09 11; 14(1):122.
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  166. Association Between Sleep Duration and Body Mass Index Among US Low-Income Preschoolers. Obesity (Silver Spring). 2017 10; 25(10):1770-1775.
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  167. Tracing How Normative Messages May Influence Physical Activity Intention. J Sport Exerc Psychol. 2017 Apr; 39(2):89-96.
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  168. Conceptualizing physical activity parenting practices using expert informed concept mapping analysis. BMC Public Health. 2017 06 14; 17(1):574.
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  169. 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.
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  170. Teaching Parents About Responsive Feeding Through a Vicarious Learning Video: A Pilot Randomized Controlled Trial. Health Educ Behav. 2018 04; 45(2):229-237.
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  171. Behavioral interventions to promote adequate sleep among women: protocol for a systematic review and meta-analysis. Syst Rev. 2017 05 11; 6(1):95.
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  172. 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.
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  173. 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.
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  174. Acculturation and weight change in Asian-American children: Evidence from the ECLS-K:2011. Prev Med. 2017 Jun; 99:286-292.
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  175. 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.
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  176. 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).
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  177. Are the Physical Activity Parenting Practices Reported by US and Canadian Parents Captured in Currently Published Instruments? J Phys Act Health. 2016 10; 13(10):1070-1078.
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  178. Obesity status trajectory groups among elementary school children. BMC Public Health. 2016 07 07; 16:526.
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  179. Texting to Increase Adolescent Physical Activity: Feasibility Assessment. Am J Health Behav. 2016 07; 40(4):472-83.
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  180. 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.
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  181. 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.
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  182. 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.
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  183. Psychosocial aspects of type 1 diabetes in Latino- and Asian-American youth. Pediatr Res. 2016 09; 80(3):347-55.
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  184. Parental involvement in exercise and diet interventions for childhood cancer survivors: a systematic review. Pediatr Res. 2016 09; 80(3):338-46.
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  185. Testing the effects of narrative and play on physical activity among breast cancer survivors using mobile apps: study protocol for a randomized controlled trial. BMC Cancer. 2016 Mar 09; 16:202.
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  186. Validation of the Physical Activity Questionnaire for Older Children (PAQ-C) among Chinese Children. Biomed Environ Sci. 2016 Mar; 29(3):177-86.
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  187. 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.
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  188. Acculturation and Plasma Fatty Acid Concentrations in Hispanic and Chinese-American Adults: The Multi-Ethnic Study of Atherosclerosis. PLoS One. 2016; 11(2):e0149267.
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  189. 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.
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  190. The IDEFICS intervention trial to prevent childhood obesity: design and study methods. Obes Rev. 2015 Dec; 16 Suppl 2:4-15.
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  191. Fit 5 Kids TV Reduction Program for Latino Preschoolers: A Cluster Randomized Controlled Trial. Am J Prev Med. 2016 May; 50(5):584-592.
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  192. 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.
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  193. Obesity status transitions across the elementary years: use of Markov chain modelling. Pediatr Obes. 2016 Apr; 11(2):88-94.
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  194. An adaptive Hidden Markov model for activity recognition based on a wearable multi-sensor device. J Med Syst. 2015 May; 39(5):57.
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  195. 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.
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  196. An exploratory study on a chest-worn computer for evaluation of diet, physical activity and lifestyle. J Healthc Eng. 2015; 6(1):1-22.
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  197. 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.
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  198. 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.
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  199. A meta-analysis of serious digital games for healthy lifestyle promotion. Prev Med. 2014 Dec; 69:95-107.
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  200. 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.
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  201. 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.
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  202. Psychometrics of the preschooler physical activity parenting practices instrument among a Latino sample. Int J Behav Nutr Phys Act. 2014 Jan 15; 11:3.
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  203. 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.
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  204. 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.
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  205. 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.
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  206. BMI change, fitness change and cardiometabolic risk factors among 8th grade youth. Pediatr Exerc Sci. 2013 Feb; 25(1):52-68.
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  207. The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute. J Acad Nutr Diet. 2012 Aug; 112(8):1134-7.
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  208. Shifts in BMI category and associated cardiometabolic risk: prospective results from HEALTHY study. Pediatrics. 2012 Apr; 129(4):e983-91.
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  209. Impact of a pilot walking school bus intervention on children's pedestrian safety behaviors: a pilot study. Health Place. 2012 Jan; 18(1):24-30.
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  210. Recommendations to improve the accuracy of estimates of physical activity derived from self report. J Phys Act Health. 2012 Jan; 9 Suppl 1:S76-84.
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  211. 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.
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  212. The walking school bus and children's physical activity: a pilot cluster randomized controlled trial. Pediatrics. 2011 Sep; 128(3):e537-44.
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  214. 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.
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  216. Validity of instruments to assess students' travel and pedestrian safety. BMC Public Health. 2010 May 18; 10:257.
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  217. 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.
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  218. 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.
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  219. 6-n-Propylthiouracil sensitivity and obesity status among ethnically diverse children. Public Health Nutr. 2010 Oct; 13(10):1587-92.
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  220. Boy Scout 5-a-Day Badge: outcome results of a troop and Internet intervention. Prev Med. 2009 Dec; 49(6):518-26.
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  221. Parenting practices are associated with fruit and vegetable consumption in pre-school children. Public Health Nutr. 2010 Jan; 13(1):91-101.
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  222. Grains are similarly categorized by 8- to 13-year-old children. J Am Diet Assoc. 2008 Nov; 108(11):1921-6.
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  223. 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.
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  224. Fruit and vegetables are similarly categorised by 8-13-year-old children. Public Health Nutr. 2009 Feb; 12(2):175-87.
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  225. Diverse food items are similarly categorized by 8- to 13-year-old children. J Nutr Educ Behav. 2008 May-Jun; 40(3):149-59.
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  226. Food category purchases vary by household education and race/ethnicity: results from grocery receipts. J Am Diet Assoc. 2007 Oct; 107(10):1747-52.
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  227. Mixed foods are similarly categorized by 8-13 year old children. Appetite. 2008 Mar-May; 50(2-3):316-24.
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  228. 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.
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  229. 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.
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  230. Food, Fun and Fitness Internet program for girls: influencing log-on rate. Health Educ Res. 2008 Apr; 23(2):228-37.
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  231. Decision boundaries and receiver operating characteristic curves: new methods for determining accelerometer cutpoints. J Sports Sci. 2007 Jun; 25(8):937-44.
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  232. Fruit and vegetable availability: a micro environmental mediating variable? Public Health Nutr. 2007 Jul; 10(7):681-9.
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  233. 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.
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  234. Improving psychometric methods in health education and health behavior research. Health Educ Res. 2006 Dec; 21 Suppl 1:i1-3.
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  235. 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.
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  236. 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.
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  237. 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.
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  238. Observed, GIS, and self-reported environmental features and adolescent physical activity. Am J Health Promot. 2006 Jul-Aug; 20(6):422-8.
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  239. Food-purchasing patterns for home: a grocery store-intercept survey. Public Health Nutr. 2006 May; 9(3):384-93.
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  240. Is there an association between sweetened beverages and adiposity? Nutr Rev. 2006 Apr; 64(4):153-74.
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  241. Pedometer reliability, validity and daily activity targets among 10- to 15-year-old boys. J Sports Sci. 2006 Mar; 24(3):241-51.
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  242. Fit for Life Boy Scout badge: outcome evaluation of a troop and Internet intervention. Prev Med. 2006 Mar; 42(3):181-7.
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  243. 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.
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  244. Effect of 4 weeks of Pilates on the body composition of young girls. Prev Med. 2006 Mar; 42(3):177-80.
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  245. Squire's Quest: intervention changes occurred at lunch and snack meals. Appetite. 2005 Oct; 45(2):148-51.
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  246. Observed environmental features and the physical activity of adolescent males. Am J Prev Med. 2005 Aug; 29(2):98-104.
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  247. 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.
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  248. Adolescent patterns of physical activity differences by gender, day, and time of day. Am J Prev Med. 2005 Jun; 28(5):447-52.
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  249. A physician fitness program: enhancing the physician as an "exercise" role model for patients. Teach Learn Med. 2005; 17(1):27-35.
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  250. Physical activity and health enhancing dietary behaviors in young adults: Bogalusa Heart Study. Prev Med. 2005 Jul; 41(1):194-202.
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  251. Relationships between maternal and child cardiovascular risk factors: ethnic differences and lack of influence of physical activity. Arch Pediatr Adolesc Med. 2004 Dec; 158(12):1125-31.
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  252. 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.
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  253. 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.
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  254. Parental cultural perspectives in relation to weight-related behaviors and concerns of African-American girls. Obes Res. 2004 Sep; 12 Suppl:7S-19S.
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  255. Anthropometric, parental, and psychosocial correlates of dietary intake of African-American girls. Obes Res. 2004 Sep; 12 Suppl:20S-31S.
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  256. Covariability in diet and physical activity in African-American girls. Obes Res. 2004 Sep; 12 Suppl:46S-54S.
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  257. Relationship between physical activity and diet among African-American girls. Obes Res. 2004 Sep; 12 Suppl:55S-63S.
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  258. Early sexual maturation, body composition, and obesity in African-American girls. Obes Res. 2004 Sep; 12 Suppl:64S-72S.
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  259. Assessing weight-related biochemical cardiovascular risk factors in African-American girls. Obes Res. 2004 Sep; 12 Suppl:73S-83S.
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  260. 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.
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  261. 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.
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  262. 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.
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  263. 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.
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  264. Physical activity self-report and accelerometry measures from the Girls health Enrichment Multi-site Studies. Prev Med. 2004 May; 38 Suppl:S43-9.
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  265. Measurement characteristics of activity-related psychosocial measures in 8- to 10-year-old African-American girls in the Girls Health Enrichment Multisite Study (GEMS). Prev Med. 2004 May; 38 Suppl:S60-8.
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  266. Psychometric properties of optimism and pessimism: results from the Girls' Health Enrichment Multisite Studies. Prev Med. 2004 May; 38 Suppl:S69-77.
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  267. 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.
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  268. 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.
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  269. 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.
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  270. Availability, accessibility, and preferences for fruit, 100% fruit juice, and vegetables influence children's dietary behavior. Health Educ Behav. 2003 Oct; 30(5):615-26.
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  271. Eating patterns and obesity in children. The Bogalusa Heart Study. Am J Prev Med. 2003 Jul; 25(1):9-16.
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  272. Misclassification associated with measurement error in the assessment of dietary intake. Public Health Nutr. 2003 Jun; 6(4):393-9.
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  273. 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.
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  274. Common design elements of the Girls health Enrichment Multi-site Studies (GEMS). Ethn Dis. 2003; 13(1 Suppl 1):S6-14.
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  275. Ethnic differences in social correlates of diet. Health Educ Res. 2002 Feb; 17(1):7-18.
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  276. Eating patterns, dietary quality and obesity. J Am Coll Nutr. 2001 Dec; 20(6):599-608.
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  277. Family and child-care provider influences on preschool children's fruit, juice, and vegetable consumption. Nutr Rev. 2001 Jul; 59(7):224-35.
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  278. Ecological and socioeconomic correlates of fruit, juice, and vegetable consumption among African-American boys. Prev Med. 2001 Jun; 32(6):476-81.
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  279. Using goal setting as a strategy for dietary behavior change. J Am Diet Assoc. 2001 May; 101(5):562-6.
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  280. 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.
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  281. Risk factor distribution among sociodemographically diverse African American adults. J Urban Health. 2001 Mar; 78(1):125-40.
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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.