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This is a "connection" page, showing publications co-authored by TOM BARANOWSKI and THERESA NICKLAS.
TOM BARANOWSKI
Connection Strength
4.038
THERESA NICKLAS
  1. Perceptions About Health, Nutrition Knowledge, and MyPlate Food Categorization Among US Adolescents: A Qualitative Study. J Nutr Educ Behav. 2021 02; 53(2):110-119.
    View in: PubMed
    Score: 0.191
  2. Food Sources of Shortfall Nutrients Among US Adolescents: National Health and Nutrition Examination Survey (NHANES) 2011-2014. Fam Community Health. 2020 Jan/Mar; 43(1):59-73.
    View in: PubMed
    Score: 0.179
  3. 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: 0.166
  4. Top food sources of percentage of energy, nutrients to limit and total gram amount consumed among US adolescents: National Health and Nutrition Examination Survey 2011-2014. Public Health Nutr. 2019 03; 22(4):661-671.
    View in: PubMed
    Score: 0.165
  5. "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: 0.159
  6. Sustained impact of the "Healthy Habits, Healthy Girls - Brazil" school-based randomized controlled trial for adolescents living in low-income communities. Prev Med Rep. 2018 Jun; 10:346-352.
    View in: PubMed
    Score: 0.159
  7. 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: 0.158
  8. Parents' Qualitative Perspectives on Child Asking for Fruit and Vegetables. Nutrients. 2017 Jun 05; 9(6).
    View in: PubMed
    Score: 0.149
  9. Assessing Feedback in a Mobile Videogame. Games Health J. 2016 Jun; 5(3):203-8.
    View in: PubMed
    Score: 0.138
  10. 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: 0.135
  11. 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: 0.134
  12. 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: 0.113
  13. 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: 0.110
  14. Correlates of adiposity among Latino preschool children. J Phys Act Health. 2014 Jan; 11(1):195-8.
    View in: PubMed
    Score: 0.110
  15. Alpha Test of a Videogame to Increase Children's Vegetable Consumption. Games Health J. 2012 Jun; 1(3):219-222.
    View in: PubMed
    Score: 0.106
  16. 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: 0.103
  17. General versus central adiposity and relationship to pediatric metabolic risk. Metab Syndr Relat Disord. 2012 Apr; 10(2):128-36.
    View in: PubMed
    Score: 0.102
  18. 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: 0.098
  19. 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: 0.080
  20. 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: 0.076
  21. Parent outcome expectancies for purchasing fruit and vegetables: a validation. Public Health Nutr. 2007 Mar; 10(3):280-91.
    View in: PubMed
    Score: 0.073
  22. 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: 0.072
  23. Food-purchasing patterns for home: a grocery store-intercept survey. Public Health Nutr. 2006 May; 9(3):384-93.
    View in: PubMed
    Score: 0.069
  24. Is there an association between sweetened beverages and adiposity? Nutr Rev. 2006 Apr; 64(4):153-74.
    View in: PubMed
    Score: 0.069
  25. 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: 0.061
  26. 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: 0.060
  27. 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: 0.058
  28. Eating patterns and obesity in children. The Bogalusa Heart Study. Am J Prev Med. 2003 Jul; 25(1):9-16.
    View in: PubMed
    Score: 0.057
  29. Misclassification associated with measurement error in the assessment of dietary intake. Public Health Nutr. 2003 Jun; 6(4):393-9.
    View in: PubMed
    Score: 0.057
  30. 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: 0.056
  31. 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: 0.055
  32. 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: 0.054
  33. Eating patterns, dietary quality and obesity. J Am Coll Nutr. 2001 Dec; 20(6):599-608.
    View in: PubMed
    Score: 0.051
  34. 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: 0.050
  35. 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: 0.043
  36. 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: 0.040
  37. 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: 0.040
  38. Individual Correlates of Sleep Among Childbearing Age Women in Canada. Behav Sleep Med. 2019 Sep-Oct; 17(5):634-645.
    View in: PubMed
    Score: 0.039
  39. Mommio's Recipe Box: Assessment of the Cooking Habits of Mothers of Preschoolers and Their Perceptions of Recipes for a Video Game. JMIR Serious Games. 2017 Oct 17; 5(4):e20.
    View in: PubMed
    Score: 0.038
  40. 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: 0.038
  41. 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: 0.037
  42. 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: 0.037
  43. 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: 0.029
  44. 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.
    View in: PubMed
    Score: 0.026
  45. 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: 0.025
  46. Ethnic Minority Children's Active Commuting to School and Association with Physical Activity and Pedestrian Safety Behaviors. J Appl Res Child. 2010 Sep 30; 1(1):1-23.
    View in: PubMed
    Score: 0.024
  47. 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: 0.023
  48. Validity of instruments to assess students' travel and pedestrian safety. BMC Public Health. 2010 May 18; 10:257.
    View in: PubMed
    Score: 0.023
  49. 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: 0.021
  50. 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: 0.019
  51. 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: 0.016
  52. 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: 0.016
  53. 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: 0.016
  54. 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: 0.016
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.