BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 17444191)

  • 1. Using a height-weight classification for analysis of food energy and main nutrient contents in 24-hours menus of 17-23-year-old Estonian female students.
    Peterson J; Kaarma H; Koskel S
    Anthropol Anz; 2007 Mar; 65(1):51-9. PubMed ID: 17444191
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Body build classification for ordinary schoolgirls (aged 7-18 years) and volleyball girls (aged 13-16 years).
    Kaarma H; Stamm R; Kasmel J; Koskel S
    Anthropol Anz; 2005 Mar; 63(1):77-92. PubMed ID: 15830589
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Simple obesity in children. A study on the role of nutritional factors].
    Weker H
    Med Wieku Rozwoj; 2006; 10(1):3-191. PubMed ID: 16733288
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Five-class height-weight mean and SD system applying Estonian reference values of height-weight mean and SD for systematization of seventeen-year-old conscripts' anthropometric data.
    Lintsi M; Kaarma H; Aunapuu M; Arend A
    Anthropol Anz; 2007 Mar; 65(1):37-49. PubMed ID: 17444190
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Five-class height-weight model for systematization of seventeen-year-old recruits' anthropometric data.
    Lintsi M; Kaarma H
    Anthropol Anz; 2003 Dec; 61(4):435-43. PubMed ID: 14717536
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Systematisation of anthropometric data of 17-year-old schoolgirls from Tartu, Estonia.
    Saluvere K; Peterson J; Saluste L; Koskel S
    Anthropol Anz; 1998 Sep; 56(3):267-80. PubMed ID: 9816429
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A possibility of systematisation of anthropometric data of girls aged 12-15.
    Veldre G; Stamm R; Koskel S
    Anthropol Anz; 2002 Dec; 60(4):369-82. PubMed ID: 12529959
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Complex statistical characterization of women's body measurements.
    Kaarma H
    Anthropol Anz; 1995 Sep; 53(3):239-44. PubMed ID: 7486883
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Body build classes as a method for systematization of age-related anthropometric changes in girls aged 7-8 and 17-18 years.
    Kasmel J; Kaarma H; Koskel S; Tiit EM
    Anthropol Anz; 2004 Mar; 62(1):93-106. PubMed ID: 15109038
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Beverage intake among preschool children and its effect on weight status.
    O'Connor TM; Yang SJ; Nicklas TA
    Pediatrics; 2006 Oct; 118(4):e1010-8. PubMed ID: 17015497
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Daily calorie and macronutrient consumption in girls of different somatotypes with different shares of body fat, muscle and bone components].
    Fefelova VV; Fefelova YA; Koloskova TP; Kazakova TV; Sergeeva EY
    Vopr Pitan; 2016; 85(2):24-30. PubMed ID: 27455598
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Lactation performance of rural Mesoamerindians.
    Villalpando SF; Butte NF; Wong WW; Flores-Huerta S; Hernandez-Beltran MJ; Smith EO; Garza C
    Eur J Clin Nutr; 1992 May; 46(5):337-48. PubMed ID: 1600932
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Evaluation of the nutritional status and feeding patterns of 3-7 year old children --results of a questionnaire].
    Weker H
    Med Wieku Rozwoj; 2000; 4(3 Suppl 1):41-52. PubMed ID: 11381151
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Monitoring food consumption and nutritional status of Moscow schoolchildren in 1992-1994. 2. Anthropometric evaluation of nutritional status, effect of social factors on the character and status of nutrition].
    Martinchik AN; Baturin AK; Feoktistova AI; Zemlianskaia TA; Azizbekian GA; Baeva VS; Larina TI; Peskova EV; Trofimenko LS
    Vopr Pitan; 1997; (1):3-9. PubMed ID: 9214141
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Differences in eating behaviours, dietary intake and body weight status between male and female Malaysian University students.
    Gan WY; Mohd NM; Zalilah MS; Hazizi AS
    Malays J Nutr; 2011 Aug; 17(2):213-28. PubMed ID: 22303575
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Nutritional status of women in Bangladesh: comparison of energy intake and nutritional status of a low income rural group with a high income urban group.
    Islam MZ; Akhtaruzzaman M; Lamberg-Allardt C
    Asia Pac J Clin Nutr; 2004; 13(1):61-8. PubMed ID: 15003916
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Eveningness is associated with skipping breakfast and poor nutritional intake in Brazilian undergraduate students.
    Teixeira GP; Mota MC; Crispim CA
    Chronobiol Int; 2018 Mar; 35(3):358-367. PubMed ID: 29219626
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fast food restaurant use among adolescents: associations with nutrient intake, food choices and behavioral and psychosocial variables.
    French SA; Story M; Neumark-Sztainer D; Fulkerson JA; Hannan P
    Int J Obes Relat Metab Disord; 2001 Dec; 25(12):1823-33. PubMed ID: 11781764
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Evaluation of energy intake and the nourishment status of women aged 19-25 with different physical activity].
    Gacek M
    Rocz Panstw Zakl Hig; 2007; 58(4):649-55. PubMed ID: 18578347
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Competitive foods increase the intake of energy and decrease the intake of certain nutrients by adolescents consuming school lunch.
    Templeton SB; Marlette MA; Panemangalore M
    J Am Diet Assoc; 2005 Feb; 105(2):215-20. PubMed ID: 15668677
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.