Connection

Co-Authors

This is a "connection" page, showing publications co-authored by THERESA NICKLAS and YAN LIU.
Connection Strength

2.718
  1. Intake of added sugars is not associated with weight measures in children 6 to 18 years: National Health and Nutrition Examination Surveys 2003-2006. Nutr Res. 2011 May; 31(5):338-46.
    View in: PubMed
    Score: 0.392
  2. Validity of the Remote Food Photography Method Against Doubly Labeled Water Among Minority Preschoolers. Obesity (Silver Spring). 2017 09; 25(9):1633-1638.
    View in: PubMed
    Score: 0.151
  3. Motivational theater to increase consumption of vegetable dishes by preschool children. Int J Behav Nutr Phys Act. 2017 02 07; 14(1):16.
    View in: PubMed
    Score: 0.146
  4. Breakfast consumption has no effect on neuropsychological functioning in children: a repeated-measures clinical trial. Am J Clin Nutr. 2016 Sep; 104(3):715-21.
    View in: PubMed
    Score: 0.141
  5. Association between barriers and facilitators to meeting the Dietary Guidelines for Americans and body weight status of caregiver-child dyads: the Healthy Eating and Lifestyle for Total Health Study. Am J Clin Nutr. 2016 Jul; 104(1):143-54.
    View in: PubMed
    Score: 0.139
  6. Removing Potatoes from Children's Diets May Compromise Potassium Intake. Adv Nutr. 2016 Jan; 7(1):247S-253S.
    View in: PubMed
    Score: 0.136
  7. Parent emotional distress and feeding styles in low-income families. The role of parent depression and parenting stress. Appetite. 2015 Sep; 92:337-42.
    View in: PubMed
    Score: 0.130
  8. Barriers and facilitators to following the Dietary Guidelines for Americans reported by rural, Northern Plains American-Indian children. Public Health Nutr. 2015 Feb; 18(3):482-9.
    View in: PubMed
    Score: 0.120
  9. Barriers and facilitators for consumer adherence to the dietary guidelines for Americans: the HEALTH study. J Acad Nutr Diet. 2013 Oct; 113(10):1317-31.
    View in: PubMed
    Score: 0.114
  10. Characterizing lunch meals served and consumed by pre-school children in Head Start. Public Health Nutr. 2013 Dec; 16(12):2169-77.
    View in: PubMed
    Score: 0.113
  11. Characterizing dinner meals served and consumed by low-income preschool children. Child Obes. 2012 Dec; 8(6):561-71.
    View in: PubMed
    Score: 0.109
  12. The relationship of breakfast skipping and type of breakfast consumed with overweight/obesity, abdominal obesity, other cardiometabolic risk factors and the metabolic syndrome in young adults. The National Health and Nutrition Examination Survey (NHANES): 1999-2006. Public Health Nutr. 2013 Nov; 16(11):2073-82.
    View in: PubMed
    Score: 0.108
  13. Validity and feasibility of a digital diet estimation method for use with preschool children: a pilot study. J Nutr Educ Behav. 2012 Nov-Dec; 44(6):618-23.
    View in: PubMed
    Score: 0.106
  14. Resemblance of dietary intakes of snacks, sweets, fruit, and vegetables among mother-child dyads from low income families. Appetite. 2012 Oct; 59(2):316-23.
    View in: PubMed
    Score: 0.105
  15. Do breakfast skipping and breakfast type affect energy intake, nutrient intake, nutrient adequacy, and diet quality in young adults? NHANES 1999-2002. J Am Coll Nutr. 2010 Aug; 29(4):407-18.
    View in: PubMed
    Score: 0.093
  16. Prevalence of metabolic syndrome and obesity in adolescents aged 12 to 19 years: comparison between the United States and Korea. J Korean Med Sci. 2010 Jan; 25(1):75-82.
    View in: PubMed
    Score: 0.089
  17. Predictors of calcium intake at dinner meals of ethnically diverse mother-child dyads from families with limited incomes. J Am Diet Assoc. 2009 Oct; 109(10):1744-50.
    View in: PubMed
    Score: 0.088
  18. Are energy dense diets also nutrient dense? J Am Coll Nutr. 2008 Oct; 27(5):553-60.
    View in: PubMed
    Score: 0.082
  19. Diet quality varies by race/ethnicity of Head Start mothers. J Am Diet Assoc. 2008 Apr; 108(4):651-9.
    View in: PubMed
    Score: 0.079
  20. A comparison of the prevalence of the metabolic syndrome in the United States (US) and Korea in young adults aged 20 to 39 years. Asia Pac J Clin Nutr. 2008; 17(3):471-82.
    View in: PubMed
    Score: 0.078
  21. Portion sizes for children are predicted by parental characteristics and the amounts parents serve themselves. Am J Clin Nutr. 2014 Apr; 99(4):763-70.
    View in: PubMed
    Score: 0.030
  22. Candy consumption in childhood is not predictive of weight, adiposity measures or cardiovascular risk factors in young adults: the Bogalusa Heart Study. J Hum Nutr Diet. 2015 Feb; 28 Suppl 2:59-69.
    View in: PubMed
    Score: 0.029
  23. 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: 0.028
  24. General versus central adiposity and relationship to pediatric metabolic risk. Metab Syndr Relat Disord. 2012 Apr; 10(2):128-36.
    View in: PubMed
    Score: 0.026
  25. Dietary patterns associated with metabolic syndrome, sociodemographic and lifestyle factors in young adults: the Bogalusa Heart Study. Public Health Nutr. 2009 Dec; 12(12):2493-503.
    View in: PubMed
    Score: 0.022
  26. Associations among parental feeding styles and children's food intake in families with limited incomes. Int J Behav Nutr Phys Act. 2009 Aug 13; 6:55.
    View in: PubMed
    Score: 0.022
  27. Impact of dairy and sweetened beverage consumption on diet and weight of a multiethnic population of head start mothers. J Am Diet Assoc. 2009 May; 109(5):874-82.
    View in: PubMed
    Score: 0.021
  28. The impact of dairy product consumption on nutrient adequacy and weight of Head Start mothers. Public Health Nutr. 2009 Oct; 12(10):1693-701.
    View in: PubMed
    Score: 0.021
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.