Connection

THERESA NICKLAS to Adult

This is a "connection" page, showing publications THERESA NICKLAS has written about Adult.
Connection Strength

1.139
  1. 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: 0.038
  2. 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: 0.036
  3. 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: 0.032
  4. 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: 0.030
  5. Maternal depression, stress and feeding styles: towards a framework for theory and research in child obesity. Br J Nutr. 2015 Jan; 113 Suppl:S55-71.
    View in: PubMed
    Score: 0.029
  6. Differing statistical approaches affect the relation between egg consumption, adiposity, and cardiovascular risk factors in adults. J Nutr. 2015 Jan; 145(1):170S-6S.
    View in: PubMed
    Score: 0.029
  7. Snacking patterns, diet quality, and cardiovascular risk factors in adults. BMC Public Health. 2014 Apr 23; 14:388.
    View in: PubMed
    Score: 0.027
  8. 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: 0.026
  9. Food sources of energy and nutrients among adults in the US: NHANES 2003?2006. Nutrients. 2012 Dec 19; 4(12):2097-120.
    View in: PubMed
    Score: 0.025
  10. Characterizing dinner meals served and consumed by low-income preschool children. Child Obes. 2012 Dec; 8(6):561-71.
    View in: PubMed
    Score: 0.025
  11. Diet quality is inversely related to cardiovascular risk factors in adults. J Nutr. 2012 Dec; 142(12):2112-8.
    View in: PubMed
    Score: 0.025
  12. 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: 0.024
  13. Contribution of beef consumption to nutrient intake, diet quality, and food patterns in the diets of the US population. Meat Sci. 2012 Jan; 90(1):152-8.
    View in: PubMed
    Score: 0.023
  14. Self-perceived lactose intolerance results in lower intakes of calcium and dairy foods and is associated with hypertension and diabetes in adults. Am J Clin Nutr. 2011 Jul; 94(1):191-8.
    View in: PubMed
    Score: 0.022
  15. Candy consumption was not associated with body weight measures, risk factors for cardiovascular disease, or metabolic syndrome in US adults: NHANES 1999-2004. Nutr Res. 2011 Feb; 31(2):122-30.
    View in: PubMed
    Score: 0.022
  16. Whole grain and fiber consumption are associated with lower body weight measures in US adults: National Health and Nutrition Examination Survey 1999-2004. Nutr Res. 2010 Dec; 30(12):815-22.
    View in: PubMed
    Score: 0.022
  17. 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: 0.021
  18. Lean beef contributes significant amounts of key nutrients to the diets of US adults: National Health and Nutrition Examination Survey 1999-2004. Nutr Res. 2010 Jun; 30(6):375-81.
    View in: PubMed
    Score: 0.021
  19. Tree nut consumption improves nutrient intake and diet quality in US adults: an analysis of National Health and Nutrition Examination Survey (NHANES) 1999-2004. Asia Pac J Clin Nutr. 2010; 19(1):142-50.
    View in: PubMed
    Score: 0.020
  20. Nutrient profiling: the new environment. J Am Coll Nutr. 2009 Aug; 28(4):416S-420S.
    View in: PubMed
    Score: 0.020
  21. The role of dairy in meeting the recommendations for shortfall nutrients in the American diet. J Am Coll Nutr. 2009 Feb; 28 Suppl 1:73S-81S.
    View in: PubMed
    Score: 0.019
  22. Menu modeling with MyPyramid food patterns: incremental dietary changes lead to dramatic improvements in diet quality of menus. J Am Diet Assoc. 2008 Dec; 108(12):2077-83.
    View in: PubMed
    Score: 0.019
  23. Are energy dense diets also nutrient dense? J Am Coll Nutr. 2008 Oct; 27(5):553-60.
    View in: PubMed
    Score: 0.019
  24. Diet quality varies by race/ethnicity of Head Start mothers. J Am Diet Assoc. 2008 Apr; 108(4):651-9.
    View in: PubMed
    Score: 0.018
  25. 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: 0.018
  26. Food-purchasing patterns for home: a grocery store-intercept survey. Public Health Nutr. 2006 May; 9(3):384-93.
    View in: PubMed
    Score: 0.016
  27. Minority mothers' perceptions of children's body size. Int J Pediatr Obes. 2006; 1(2):96-102.
    View in: PubMed
    Score: 0.015
  28. Cross-cultural equivalence of feeding beliefs and practices: the psychometric properties of the child feeding questionnaire among Blacks and Hispanics. Prev Med. 2005 Aug; 41(2):521-31.
    View in: PubMed
    Score: 0.015
  29. Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake. Nat Food. 2025 Jan; 6(1):58-71.
    View in: PubMed
    Score: 0.014
  30. Decline in Isotope Dilution Space Ratio Above Age 60 Could Affect Energy Estimates Using the Doubly Labeled Water Method. J Nutr. 2024 Dec; 154(12):3824-3831.
    View in: PubMed
    Score: 0.014
  31. Monounsaturated fatty acid intake by children and adults: temporal trends and demographic differences. Nutr Rev. 2004 Apr; 62(4):132-41.
    View in: PubMed
    Score: 0.014
  32. Calcium intake trends and health consequences from childhood through adulthood. J Am Coll Nutr. 2003 Oct; 22(5):340-56.
    View in: PubMed
    Score: 0.013
  33. Greater male variability in daily energy expenditure develops through puberty. Biol Lett. 2023 09; 19(9):20230152.
    View in: PubMed
    Score: 0.013
  34. Eating patterns and obesity in children. The Bogalusa Heart Study. Am J Prev Med. 2003 Jul; 25(1):9-16.
    View in: PubMed
    Score: 0.013
  35. Variation in human water turnover associated with environmental and lifestyle factors. Science. 2022 11 25; 378(6622):909-915.
    View in: PubMed
    Score: 0.012
  36. Variability in energy expenditure is much greater in males than females. J Hum Evol. 2022 10; 171:103229.
    View in: PubMed
    Score: 0.012
  37. Tracking of serum lipids and lipoproteins from childhood to dyslipidemia in adults: the Bogalusa Heart Study. Int J Sports Med. 2002 May; 23 Suppl 1:S39-43.
    View in: PubMed
    Score: 0.012
  38. Total energy expenditure is repeatable in adults but not associated with short-term changes in body composition. Nat Commun. 2022 01 10; 13(1):99.
    View in: PubMed
    Score: 0.012
  39. Eating patterns, dietary quality and obesity. J Am Coll Nutr. 2001 Dec; 20(6):599-608.
    View in: PubMed
    Score: 0.012
  40. Physical activity and fat-free mass during growth and in later life. Am J Clin Nutr. 2021 11 08; 114(5):1583-1589.
    View in: PubMed
    Score: 0.012
  41. 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: 0.011
  42. 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: 0.010
  43. Impact of breakfast consumption on nutritional adequacy of the diets of young adults in Bogalusa, Louisiana: ethnic and gender contrasts. J Am Diet Assoc. 1998 Dec; 98(12):1432-8.
    View in: PubMed
    Score: 0.009
  44. Atherosclerosis: a nutritional disease of childhood. Am J Cardiol. 1998 Nov 26; 82(10B):22T-29T.
    View in: PubMed
    Score: 0.009
  45. 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: 0.009
  46. 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: 0.009
  47. Individual Correlates of Sleep Among Childbearing Age Women in Canada. Behav Sleep Med. 2019 Sep-Oct; 17(5):634-645.
    View in: PubMed
    Score: 0.009
  48. 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: 0.009
  49. Assessing Feedback in a Mobile Videogame. Games Health J. 2016 Jun; 5(3):203-8.
    View in: PubMed
    Score: 0.008
  50. Dietary studies of children and young adults (1973-1988): the Bogalusa Heart Study. Am J Med Sci. 1995 Dec; 310 Suppl 1:S101-8.
    View in: PubMed
    Score: 0.008
  51. Total nutrient intake and ready-to-eat cereal consumption of children and young adults in the Bogalusa Heart Study. Nutr Rev. 1995 Sep; 53(9 Pt 2):S39-45.
    View in: PubMed
    Score: 0.008
  52. Impact of meat consumption on nutritional quality and cardiovascular risk factors in young adults: the Bogalusa Heart Study. J Am Diet Assoc. 1995 Aug; 95(8):887-92.
    View in: PubMed
    Score: 0.007
  53. Dietary fiber intake of children and young adults: the Bogalusa Heart Study. J Am Diet Assoc. 1995 Feb; 95(2):209-14.
    View in: PubMed
    Score: 0.007
  54. Candy consumption patterns, effects on health, and behavioral strategies to promote moderation: summary report of a roundtable discussion. Adv Nutr. 2015 Jan; 6(1):139S-46S.
    View in: PubMed
    Score: 0.007
  55. Nutrient intake, diet quality, and weight/adiposity parameters in breakfast patterns compared with no breakfast in adults: National Health and Nutrition Examination Survey 2001-2008. J Acad Nutr Diet. 2014 Dec; 114(12 Suppl):S27-43.
    View in: PubMed
    Score: 0.007
  56. Parents' perceptions of preschool children's ability to regulate eating. Feeding style differences. Appetite. 2014 May; 76:166-74.
    View in: PubMed
    Score: 0.007
  57. 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: 0.007
  58. 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: 0.007
  59. Ideal cardiovascular health in young adult populations from the United States, Finland, and Australia and its association with cIMT: the International Childhood Cardiovascular Cohort Consortium. J Am Heart Assoc. 2013 Jun 19; 2(3):e000244.
    View in: PubMed
    Score: 0.006
  60. Fort Polk Heart Smart Program. Part III: Assessment of dietary intake of military wives. Mil Med. 1993 May; 158(5):312-6.
    View in: PubMed
    Score: 0.006
  61. 100% orange juice consumption is associated with better diet quality, improved nutrient adequacy, decreased risk for obesity, and improved biomarkers of health in adults: National Health and Nutrition Examination Survey, 2003-2006. Nutr J. 2012 Dec 12; 11:107.
    View in: PubMed
    Score: 0.006
  62. 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: 0.006
  63. Nutrition issues in Codex: health claims, nutrient reference values and WTO agreements: a conference report. Eur J Nutr. 2012 Mar; 51 Suppl 1:S1-7.
    View in: PubMed
    Score: 0.006
  64. Out-of-hand nut consumption is associated with improved nutrient intake and health risk markers in US children and adults: National Health and Nutrition Examination Survey 1999-2004. Nutr Res. 2012 Mar; 32(3):185-94.
    View in: PubMed
    Score: 0.006
  65. Nut consumption is associated with decreased health risk factors for cardiovascular disease and metabolic syndrome in U.S. adults: NHANES 1999-2004. J Am Coll Nutr. 2011 Dec; 30(6):502-10.
    View in: PubMed
    Score: 0.006
  66. Cardiovascular risk factors in children and prevention of adult atherosclerosis. Bol Asoc Med P R. 1991 Nov; 83(11):502-4.
    View in: PubMed
    Score: 0.006
  67. Emotional climate, feeding practices, and feeding styles: an observational analysis of the dinner meal in Head Start families. Int J Behav Nutr Phys Act. 2011 Jun 10; 8:60.
    View in: PubMed
    Score: 0.006
  68. Diet quality is positively associated with 100% fruit juice consumption in children and adults in the United States: NHANES 2003-2006. Nutr J. 2011 Feb 13; 10:17.
    View in: PubMed
    Score: 0.005
  69. Whole-grain consumption is associated with diet quality and nutrient intake in adults: the National Health and Nutrition Examination Survey, 1999-2004. J Am Diet Assoc. 2010 Oct; 110(10):1461-8.
    View in: PubMed
    Score: 0.005
  70. Test-retest reliability and comparison of children's reports with parents' reports of young children's fruit and vegetable preferences. Appetite. 2010 Dec; 55(3):574-81.
    View in: PubMed
    Score: 0.005
  71. 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: 0.005
  72. 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: 0.005
  73. 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: 0.005
  74. A multivariate model for assessing eating patterns and their relationship to cardiovascular risk factors: the Bogalusa Heart Study. Am J Clin Nutr. 1989 Jun; 49(6):1320-7.
    View in: PubMed
    Score: 0.005
  75. Eating patterns and overweight status in young adults: the Bogalusa Heart Study. Int J Food Sci Nutr. 2009; 60 Suppl 3:14-25.
    View in: PubMed
    Score: 0.005
  76. 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: 0.005
  77. 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: 0.005
  78. A dynamic family approach for the prevention of cardiovascular disease. J Am Diet Assoc. 1988 Nov; 88(11):1438-40.
    View in: PubMed
    Score: 0.005
  79. Indulgent feeding style and children's weight status in preschool. J Dev Behav Pediatr. 2008 Oct; 29(5):403-10.
    View in: PubMed
    Score: 0.005
  80. 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: 0.005
  81. 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: 0.004
  82. 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: 0.004
  83. Parent outcome expectancies for purchasing fruit and vegetables: a validation. Public Health Nutr. 2007 Mar; 10(3):280-91.
    View in: PubMed
    Score: 0.004
  84. Does food group consumption vary by differences in socioeconomic, demographic, and lifestyle factors in young adults? The Bogalusa Heart Study. J Am Diet Assoc. 2007 Feb; 107(2):223-34.
    View in: PubMed
    Score: 0.004
  85. Association of calcium intake, dairy product consumption with overweight status in young adults (1995-1996): the Bogalusa Heart Study. J Am Coll Nutr. 2006 Dec; 25(6):523-32.
    View in: PubMed
    Score: 0.004
  86. 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: 0.004
  87. Tracking of overweight status from childhood to young adulthood: the Bogalusa Heart Study. Eur J Clin Nutr. 2006 Jan; 60(1):48-57.
    View in: PubMed
    Score: 0.004
  88. The nutritional impact of dairy product consumption on dietary intakes of adults (1995-1996): the Bogalusa Heart Study. J Am Diet Assoc. 2005 Sep; 105(9):1391-400.
    View in: PubMed
    Score: 0.004
  89. 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: 0.004
  90. 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: 0.004
  91. 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: 0.004
  92. 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: 0.004
  93. Longitudinal changes in intake and food sources of calcium from childhood to young adulthood: the bogalusa heart study. J Am Coll Nutr. 2004 Aug; 23(4):341-50.
    View in: PubMed
    Score: 0.003
  94. Stages of change for increasing fruit and vegetable consumption among adults and young adults participating in the national 5-a-Day for Better Health community studies. Health Educ Behav. 1999 Aug; 26(4):513-34.
    View in: PubMed
    Score: 0.002
  95. Cardiovascular risk factors and behavior lifestyles of young women: implications from findings of the Bogalusa Heart Study. Am J Med Sci. 1997 Dec; 314(6):385-95.
    View in: PubMed
    Score: 0.002
  96. Marginal vitamin and mineral intakes of young adults: the Bogalusa Heart Study. J Adolesc Health. 1996 Jul; 19(1):39-47.
    View in: PubMed
    Score: 0.002
  97. Epidemiology of early primary hypertension and implications for prevention: the Bogalusa Heart Study. J Hum Hypertens. 1994 May; 8(5):303-11.
    View in: PubMed
    Score: 0.002
  98. 5 a day for better health: a new research initiative. J Am Diet Assoc. 1994 Jan; 94(1):32-6.
    View in: PubMed
    Score: 0.002
  99. Cardiovascular intervention for high-risk families: the Heart Smart Program. South Med J. 1991 Nov; 84(11):1305-12.
    View in: PubMed
    Score: 0.001
  100. Prevention of adult heart disease beginning in the pediatric age. Cardiovasc Clin. 1990; 20(3):21-45.
    View in: PubMed
    Score: 0.001
  101. "Heart Smart"--a staff development model for a school-based cardiovascular health intervention. Health Educ. 1988 Apr-May; 19(2):12-20.
    View in: PubMed
    Score: 0.001
  102. Cardiovascular risk in parents of children with elevated blood pressure. "Heart Smart"--family health promotion. J Clin Hypertens. 1987 Dec; 3(4):559-66.
    View in: PubMed
    Score: 0.001
  103. Racial difference in hemoglobin concentration of young adults. Prev Med. 1987 Sep; 16(5):659-69.
    View in: PubMed
    Score: 0.001
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.