Header Logo

Connection

TOM BARANOWSKI to Female

Back to Details
This is a "connection" page, showing publications TOM BARANOWSKI has written about Female.
TOM BARANOWSKI
Connection Strength
1.692
Female
  1. 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: 0.033
  2. Vegetable parenting practices vary by feeding styles among middle class mothers of young children. Appetite. 2022 04 01; 171:105850.
    View in: PubMed
    Score: 0.030
  3. Simple Energy Balance or Microbiome for Childhood Obesity Prevention? Nutrients. 2021 Aug 09; 13(8).
    View in: PubMed
    Score: 0.029
  4. 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: 0.029
  5. Exploring Determinants of Parent Behaviors During Eating Episodes. J Nutr Educ Behav. 2020 03; 52(3):240-248.
    View in: PubMed
    Score: 0.026
  6. 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: 0.026
  7. 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: 0.025
  8. 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: 0.024
  9. 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: 0.024
  10. 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: 0.024
  11. "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: 0.023
  12. 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: 0.023
  13. Participant Outcomes from Methods of Recruitment for Videogame Research. Games Health J. 2018 Feb; 7(1):16-23.
    View in: PubMed
    Score: 0.023
  14. Parents' Qualitative Perspectives on Child Asking for Fruit and Vegetables. Nutrients. 2017 Jun 05; 9(6).
    View in: PubMed
    Score: 0.022
  15. 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: 0.022
  16. 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: 0.021
  17. [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: 0.021
  18. Assessing Feedback in a Mobile Videogame. Games Health J. 2016 Jun; 5(3):203-8.
    View in: PubMed
    Score: 0.020
  19. 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: 0.020
  20. Vegetable parenting practices scale. Item response modeling analyses. Appetite. 2015 Aug; 91:190-9.
    View in: PubMed
    Score: 0.019
  21. 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: 0.019
  22. Prose Fiction as a Narrative Companion for a Vegetable Parenting Videogame. Games Health J. 2015 Aug; 4(4):305-11.
    View in: PubMed
    Score: 0.019
  23. Seasonal variability in weight change during elementary school. Obesity (Silver Spring). 2015 Feb; 23(2):422-8.
    View in: PubMed
    Score: 0.019
  24. 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: 0.018
  25. 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: 0.018
  26. 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: 0.018
  27. 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: 0.018
  28. School year versus summer differences in child weight gain: a narrative review. Child Obes. 2014 Feb; 10(1):18-24.
    View in: PubMed
    Score: 0.017
  29. 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: 0.017
  30. 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: 0.017
  31. 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: 0.017
  32. Dimensions of vegetable parenting practices among preschoolers. Appetite. 2013 Oct; 69:89-93.
    View in: PubMed
    Score: 0.017
  33. 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: 0.016
  34. 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: 0.016
  35. 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: 0.016
  36. 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: 0.016
  37. Prospective BMI category change associated with cardiovascular fitness change. Med Sci Sports Exerc. 2013 Feb; 45(2):294-8.
    View in: PubMed
    Score: 0.016
  38. 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: 0.016
  39. 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: 0.016
  40. Correlates of adiposity among Latino preschool children. J Phys Act Health. 2014 Jan; 11(1):195-8.
    View in: PubMed
    Score: 0.016
  41. 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: 0.016
  42. Impact of an active video game on healthy children's physical activity. Pediatrics. 2012 Mar; 129(3):e636-42.
    View in: PubMed
    Score: 0.015
  43. 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: 0.015
  44. 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: 0.015
  45. A model of goal directed vegetable parenting practices. Appetite. 2012 Apr; 58(2):444-9.
    View in: PubMed
    Score: 0.015
  46. General versus central adiposity and relationship to pediatric metabolic risk. Metab Syndr Relat Disord. 2012 Apr; 10(2):128-36.
    View in: PubMed
    Score: 0.015
  47. 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: 0.015
  48. 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: 0.015
  49. 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: 0.015
  50. 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: 0.015
  51. Active video games for youth: a systematic review. J Phys Act Health. 2011 Jul; 8(5):724-37.
    View in: PubMed
    Score: 0.015
  52. Relationship of fruit and vegetable intake with adiposity: a systematic review. Obes Rev. 2011 May; 12(5):e143-50.
    View in: PubMed
    Score: 0.014
  53. 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: 0.014
  54. Overeating styles and adiposity among multiethnic youth. Appetite. 2011 Feb; 56(1):71-7.
    View in: PubMed
    Score: 0.014
  55. 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: 0.014
  56. Parental involvement in interventions to improve child dietary intake: a systematic review. Prev Med. 2010 Aug; 51(2):103-11.
    View in: PubMed
    Score: 0.013
  57. 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: 0.013
  58. 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: 0.013
  59. 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: 0.012
  60. 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: 0.011
  61. 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: 0.011
  62. Parent outcome expectancies for purchasing fruit and vegetables: a validation. Public Health Nutr. 2007 Mar; 10(3):280-91.
    View in: PubMed
    Score: 0.011
  63. 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: 0.011
  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: 0.010
  65. 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: 0.010
  66. The Association Between Father Support and Daughter Physical Activity: Insights From a Study Involving U.S. Latina Pre-Teens. Am J Health Promot. 2025 Jun; 39(5):756-765.
    View in: PubMed
    Score: 0.009
  67. 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: 0.009
  68. 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: 0.009
  69. Non-curricular approaches for increasing physical activity in youth: a review. Prev Med. 2004 Jul; 39(1):157-63.
    View in: PubMed
    Score: 0.009
  70. 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: 0.009
  71. Validation of a fruit, juice, and vegetable availability questionnaire. J Nutr Educ Behav. 2003 Mar-Apr; 35(2):93-7.
    View in: PubMed
    Score: 0.008
  72. Squire's Quest! Dietary outcome evaluation of a multimedia game. Am J Prev Med. 2003 Jan; 24(1):52-61.
    View in: PubMed
    Score: 0.008
  73. 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: 0.008
  74. 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: 0.008
  75. 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: 0.007
  76. 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: 0.007
  77. 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: 0.007
  78. 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: 0.007
  79. 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: 0.007
  80. 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: 0.007
  81. 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: 0.007
  82. 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: 0.007
  83. Process evaluations of the 5-a-day projects. Health Educ Behav. 2000 Apr; 27(2):157-66.
    View in: PubMed
    Score: 0.007
  84. 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: 0.007
  85. 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: 0.007
  86. 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: 0.007
  87. 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: 0.006
  88. 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: 0.006
  89. 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: 0.006
  90. 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: 0.006
  91. 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: 0.006
  92. 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: 0.006
  93. 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.
    View in: PubMed
    Score: 0.006
  94. Individual Correlates of Sleep Among Childbearing Age Women in Canada. Behav Sleep Med. 2019 Sep-Oct; 17(5):634-645.
    View in: PubMed
    Score: 0.006
  95. 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: 0.006
  96. 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: 0.006
  97. 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: 0.006
  98. Tracing How Normative Messages May Influence Physical Activity Intention. J Sport Exerc Psychol. 2017 Apr; 39(2):89-96.
    View in: PubMed
    Score: 0.006
  99. 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
  100. Individual, social and environmental determinants of sleep among women: protocol for a systematic review and meta-analysis. BMJ Open. 2017 06 14; 7(6):e016592.
    View in: PubMed
    Score: 0.005
  101. Behavioral interventions to promote adequate sleep among women: protocol for a systematic review and meta-analysis. Syst Rev. 2017 05 11; 6(1):95.
    View in: PubMed
    Score: 0.005
  102. 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
  103. 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
  104. 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
  105. 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: 0.005
  106. 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: 0.005
  107. Obesity status trajectory groups among elementary school children. BMC Public Health. 2016 07 07; 16:526.
    View in: PubMed
    Score: 0.005
  108. Texting to Increase Adolescent Physical Activity: Feasibility Assessment. Am J Health Behav. 2016 07; 40(4):472-83.
    View in: PubMed
    Score: 0.005
  109. 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: 0.005
  110. 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: 0.005
  111. Psychosocial aspects of type 1 diabetes in Latino- and Asian-American youth. Pediatr Res. 2016 09; 80(3):347-55.
    View in: PubMed
    Score: 0.005
  112. 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.
    View in: PubMed
    Score: 0.005
  113. 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: 0.005
  114. 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: 0.005
  115. 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: 0.005
  116. 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: 0.005
  117. 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: 0.005
  118. 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: 0.005
  119. 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: 0.005
  120. Obesity status transitions across the elementary years: use of Markov chain modelling. Pediatr Obes. 2016 Apr; 11(2):88-94.
    View in: PubMed
    Score: 0.005
  121. 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: 0.005
  122. 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: 0.005
  123. A meta-analysis of serious digital games for healthy lifestyle promotion. Prev Med. 2014 Dec; 69:95-107.
    View in: PubMed
    Score: 0.005
  124. 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
  125. 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
  126. 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
  127. 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
  128. Butterfly Girls; promoting healthy diet and physical activity to young African American girls online: rationale and design. BMC Public Health. 2013 Aug 02; 13:709.
    View in: PubMed
    Score: 0.004
  129. 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: 0.004
  130. 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: 0.004
  131. Shifts in BMI category and associated cardiometabolic risk: prospective results from HEALTHY study. Pediatrics. 2012 Apr; 129(4):e983-91.
    View in: PubMed
    Score: 0.004
  132. 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: 0.004
  133. 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: 0.004
  134. 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: 0.004
  135. 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
  136. 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
  137. Validity of instruments to assess students' travel and pedestrian safety. BMC Public Health. 2010 May 18; 10:257.
    View in: PubMed
    Score: 0.003
  138. 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
  139. 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
  140. 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
  141. 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
  142. Food, fun, and fitness internet program for girls: pilot evaluation of an e-Health youth obesity prevention program examining predictors of obesity. Prev Med. 2008 Nov; 47(5):494-7.
    View in: PubMed
    Score: 0.003
  143. 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: 0.003
  144. 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: 0.003
  145. 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: 0.003
  146. Mixed foods are similarly categorized by 8-13 year old children. Appetite. 2008 Mar-May; 50(2-3):316-24.
    View in: PubMed
    Score: 0.003
  147. 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: 0.003
  148. Food, Fun and Fitness Internet program for girls: influencing log-on rate. Health Educ Res. 2008 Apr; 23(2):228-37.
    View in: PubMed
    Score: 0.003
  149. 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: 0.003
  150. 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: 0.003
  151. Food-purchasing patterns for home: a grocery store-intercept survey. Public Health Nutr. 2006 May; 9(3):384-93.
    View in: PubMed
    Score: 0.003
  152. 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
  153. Effect of 4 weeks of Pilates on the body composition of young girls. Prev Med. 2006 Mar; 42(3):177-80.
    View in: PubMed
    Score: 0.002
  154. Squire's Quest: intervention changes occurred at lunch and snack meals. Appetite. 2005 Oct; 45(2):148-51.
    View in: PubMed
    Score: 0.002
  155. 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
  156. 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
  157. 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
  158. 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.
    View in: PubMed
    Score: 0.002
  159. 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
  160. 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
  161. 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
  162. Anthropometric, parental, and psychosocial correlates of dietary intake of African-American girls. Obes Res. 2004 Sep; 12 Suppl:20S-31S.
    View in: PubMed
    Score: 0.002
  163. Covariability in diet and physical activity in African-American girls. Obes Res. 2004 Sep; 12 Suppl:46S-54S.
    View in: PubMed
    Score: 0.002
  164. Relationship between physical activity and diet among African-American girls. Obes Res. 2004 Sep; 12 Suppl:55S-63S.
    View in: PubMed
    Score: 0.002
  165. Early sexual maturation, body composition, and obesity in African-American girls. Obes Res. 2004 Sep; 12 Suppl:64S-72S.
    View in: PubMed
    Score: 0.002
  166. Assessing weight-related biochemical cardiovascular risk factors in African-American girls. Obes Res. 2004 Sep; 12 Suppl:73S-83S.
    View in: PubMed
    Score: 0.002
  167. 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
  168. Evaluation of quality control procedures for 24-h dietary recalls: results from the Girls Health Enrichment Multisite Studies. Prev Med. 2004 May; 38 Suppl:S14-23.
    View in: PubMed
    Score: 0.002
  169. Validity and reliability of a behavior-based food coding system for measuring fruit, 100% fruit juice, vegetable, and sweetened beverage consumption: results from the Girls Health Enrichment Multisite Studies. Prev Med. 2004 May; 38 Suppl:S24-33.
    View in: PubMed
    Score: 0.002
  170. Measurement characteristics of diet-related psychosocial questionnaires among African-American parents and their 8- to 10-year-old daughters: results from the Girls' health Enrichment Multi-site Studies. Prev Med. 2004 May; 38 Suppl:S34-42.
    View in: PubMed
    Score: 0.002
  171. Physical activity self-report and accelerometry measures from the Girls health Enrichment Multi-site Studies. Prev Med. 2004 May; 38 Suppl:S43-9.
    View in: PubMed
    Score: 0.002
  172. 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.
    View in: PubMed
    Score: 0.002
  173. Psychometric properties of optimism and pessimism: results from the Girls' Health Enrichment Multisite Studies. Prev Med. 2004 May; 38 Suppl:S69-77.
    View in: PubMed
    Score: 0.002
  174. Social desirability bias in self-reported dietary, physical activity and weight concerns measures in 8- to 10-year-old African-American girls: results from the Girls Health Enrichment Multisite Studies (GEMS). Prev Med. 2004 May; 38 Suppl:S78-87.
    View in: PubMed
    Score: 0.002
  175. 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
  176. 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
  177. Influences on diet and physical activity among middle-class African American 8- to 10-year-old girls at risk of becoming obese. J Nutr Educ Behav. 2003 May-Jun; 35(3):115-23.
    View in: PubMed
    Score: 0.002
  178. 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: 0.002
  179. Ethnic differences in social correlates of diet. Health Educ Res. 2002 Feb; 17(1):7-18.
    View in: PubMed
    Score: 0.002
  180. Eating patterns, dietary quality and obesity. J Am Coll Nutr. 2001 Dec; 20(6):599-608.
    View in: PubMed
    Score: 0.002
  181. Family and child-care provider influences on preschool children's fruit, juice, and vegetable consumption. Nutr Rev. 2001 Jul; 59(7):224-35.
    View in: PubMed
    Score: 0.002
  182. 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
  183. Risk factor distribution among sociodemographically diverse African American adults. J Urban Health. 2001 Mar; 78(1):125-40.
    View in: PubMed
    Score: 0.002
  184. 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: 0.002
  185. 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: 0.002
  186. 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: 0.002
  187. Gimme 5 fruit and vegetables for fun and health: process evaluation. Health Educ Behav. 2000 Apr; 27(2):167-76.
    View in: PubMed
    Score: 0.002
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.