Connection

TOM BARANOWSKI to Energy Intake

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

3.004
  1. 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: 0.501
  2. Are active video games useful to combat obesity? Am J Clin Nutr. 2015 Jun; 101(6):1107-8.
    View in: PubMed
    Score: 0.388
  3. 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: 0.333
  4. 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: 0.319
  5. 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: 0.287
  6. A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation. Sensors (Basel). 2022 Feb 15; 22(4).
    View in: PubMed
    Score: 0.157
  7. 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: 0.130
  8. Dietary Assessment with a Wearable Camera?among Children: Feasibility and?Intercoder Reliability. J Acad Nutr Diet. 2018 11; 118(11):2144-2153.
    View in: PubMed
    Score: 0.123
  9. 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: 0.097
  10. 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: 0.087
  11. 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: 0.083
  12. 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: 0.077
  13. 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: 0.075
  14. Is there an association between sweetened beverages and adiposity? Nutr Rev. 2006 Apr; 64(4):153-74.
    View in: PubMed
    Score: 0.052
  15. 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: 0.047
  16. 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: 0.046
  17. 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: 0.046
  18. Misclassification associated with measurement error in the assessment of dietary intake. Public Health Nutr. 2003 Jun; 6(4):393-9.
    View in: PubMed
    Score: 0.043
  19. 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: 0.028
  20. 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: 0.026
  21. 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: 0.019
  22. 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: 0.017
  23. Anthropometric, parental, and psychosocial correlates of dietary intake of African-American girls. Obes Res. 2004 Sep; 12 Suppl:20S-31S.
    View in: PubMed
    Score: 0.012
  24. Covariability in diet and physical activity in African-American girls. Obes Res. 2004 Sep; 12 Suppl:46S-54S.
    View in: PubMed
    Score: 0.012
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.