BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 25920426)

  • 21. Attitudinal and demographic determinants of diet quality and implications for policy targeting.
    Traill WB; Chambers SA; Butler L
    J Hum Nutr Diet; 2012 Feb; 25(1):87-94. PubMed ID: 22077492
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Sociodemographic differences in dietary habits described by food frequency questions--results from Denmark.
    Dynesen AW; Haraldsdóttir J; Holm L; Astrup A
    Eur J Clin Nutr; 2003 Dec; 57(12):1586-97. PubMed ID: 14647224
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Making time for meals: meal structure and associations with dietary intake in young adults.
    Larson NI; Nelson MC; Neumark-Sztainer D; Story M; Hannan PJ
    J Am Diet Assoc; 2009 Jan; 109(1):72-9. PubMed ID: 19103325
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Food insecurity is inversely associated with diet quality of lower-income adults.
    Leung CW; Epel ES; Ritchie LD; Crawford PB; Laraia BA
    J Acad Nutr Diet; 2014 Dec; 114(12):1943-53.e2. PubMed ID: 25091796
    [TBL] [Abstract][Full Text] [Related]  

  • 25. The CSIRO Healthy Diet Score: An Online Survey to Estimate Compliance with the Australian Dietary Guidelines.
    Hendrie GA; Baird D; Golley RK; Noakes M
    Nutrients; 2017 Jan; 9(1):. PubMed ID: 28075355
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Healthy eating in European elderly: concepts, barriers and benefits.
    de Almeida MD; Graça P; Afonso C; Kearney JM; Gibney MJ
    J Nutr Health Aging; 2001; 5(4):217-9. PubMed ID: 11753481
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Associations between watching TV during family meals and dietary intake among adolescents.
    Feldman S; Eisenberg ME; Neumark-Sztainer D; Story M
    J Nutr Educ Behav; 2007; 39(5):257-63. PubMed ID: 17826345
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Sociodemographic determinants of diet quality of the EU elderly: a comparative analysis in four countries.
    Irz X; Fratiglioni L; Kuosmanen N; Mazzocchi M; Modugno L; Nocella G; Shakersain B; Traill WB; Xu W; Zanello G
    Public Health Nutr; 2014 May; 17(5):1177-89. PubMed ID: 23659466
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Consumption of ready-made meals and increased risk of obesity: findings from the Observation of Cardiovascular Risk Factors in Luxembourg (ORISCAV-LUX) study.
    Alkerwi A; Crichton GE; Hébert JR
    Br J Nutr; 2015 Jan; 113(2):270-7. PubMed ID: 25488071
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Dietary patterns and whole grain cereals in the Scandinavian countries--differences and similarities. The HELGA project.
    Engeset D; Hofoss D; Nilsson LM; Olsen A; Tjønneland A; Skeie G
    Public Health Nutr; 2015 Apr; 18(5):905-15. PubMed ID: 24901310
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Time orientation and eating behavior: Unhealthy eaters consider immediate consequences, while healthy eaters focus on future health.
    Dassen FC; Houben K; Jansen A
    Appetite; 2015 Aug; 91():13-9. PubMed ID: 25814191
    [TBL] [Abstract][Full Text] [Related]  

  • 32. The associations of meals and snacks on family meals among a sample of grade 7 students from Southwestern Ontario.
    Woodruff SJ; Campbell K; Campbell T; Cole M
    Appetite; 2014 Nov; 82():61-6. PubMed ID: 25038406
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Relationship between attitudes towards healthy eating and dietary behaviour, lifestyle and demographic factors in a representative sample of Irish adults.
    Hearty AP; McCarthy SN; Kearney JM; Gibney MJ
    Appetite; 2007 Jan; 48(1):1-11. PubMed ID: 17049407
    [TBL] [Abstract][Full Text] [Related]  

  • 34. The social distribution of dietary patterns. Traditional, modern and healthy eating among women in a Latin American city.
    Bojorquez I; Unikel C; Cortez I; Cerecero D
    Appetite; 2015 Sep; 92():43-50. PubMed ID: 25975967
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Low compliance with dietary recommendations for food intake among adults.
    de Abreu D; Guessous I; Vaucher J; Preisig M; Waeber G; Vollenweider P; Marques-Vidal P
    Clin Nutr; 2013 Oct; 32(5):783-8. PubMed ID: 23260749
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Multiple sociodemographic and socioenvironmental characteristics are correlated with major patterns of dietary intake in adolescents.
    Cutler GJ; Flood A; Hannan P; Neumark-Sztainer D
    J Am Diet Assoc; 2011 Feb; 111(2):230-40. PubMed ID: 21272697
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Sleep deprivation is associated with lower diet quality indices and higher rate of general and central obesity among young female students in Iran.
    Haghighatdoost F; Karimi G; Esmaillzadeh A; Azadbakht L
    Nutrition; 2012; 28(11-12):1146-50. PubMed ID: 22951155
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Daily eating frequency and cardiometabolic risk factors in young Australian adults: cross-sectional analyses.
    Smith KJ; Blizzard L; McNaughton SA; Gall SL; Dwyer T; Venn AJ
    Br J Nutr; 2012 Sep; 108(6):1086-94. PubMed ID: 22177728
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Eating practices and habitus in mothers. A Brazilian population-based survey.
    de Morais Sato P; da Rocha Pereira P; de Carvalho Stelmo I; Unsain RF; Ulian MD; Sabatini F; Martins PA; Scagliusi FB
    Appetite; 2014 Nov; 82():16-28. PubMed ID: 25014744
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Attitudes and beliefs of Australian adults on reality television cooking programmes and celebrity chefs. Is there cause for concern? Descriptive analysis presented from a consumer survey.
    Villani AM; Egan T; Keogh JB; Clifton PM
    Appetite; 2015 Aug; 91():7-12. PubMed ID: 25819603
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.