180 related articles for article (PubMed ID: 23364487)
1. Under-reporting of energy intake in elderly Australian women is associated with a higher body mass index.
Meng X; Kerr DA; Zhu K; Devine A; Solah VA; Wright J; Binns CW; Prince RL
J Nutr Health Aging; 2013 Feb; 17(2):112-8. PubMed ID: 23364487
[TBL] [Abstract][Full Text] [Related]
2. Validation of dietary intakes of protein and energy against 24 hour urinary N and DLW energy expenditure in middle-aged women, retired men and post-obese subjects: comparisons with validation against presumed energy requirements.
Black AE; Bingham SA; Johansson G; Coward WA
Eur J Clin Nutr; 1997 Jun; 51(6):405-13. PubMed ID: 9192200
[TBL] [Abstract][Full Text] [Related]
3. Dietary underreporting is prevalent in middle-aged British women and is not related to adiposity (percentage body fat).
Samaras K; Kelly PJ; Campbell LV
Int J Obes Relat Metab Disord; 1999 Aug; 23(8):881-8. PubMed ID: 10490791
[TBL] [Abstract][Full Text] [Related]
4. Characteristics of women who frequently under report their energy intake: a doubly labelled water study.
Scagliusi FB; Ferriolli E; Pfrimer K; Laureano C; Cunha CS; Gualano B; Lourenço BH; Lancha AH
Eur J Clin Nutr; 2009 Oct; 63(10):1192-9. PubMed ID: 19603055
[TBL] [Abstract][Full Text] [Related]
5. The degree of misreporting of the energy-adjusted intake of protein, potassium, and sodium does not differ among under-, acceptable, and over-reporters of energy intake.
Murakami K; Sasaki S; Uenishi K;
Nutr Res; 2012 Oct; 32(10):741-50. PubMed ID: 23146770
[TBL] [Abstract][Full Text] [Related]
6. Characteristics of under- and over-reporters of energy intake among 18-20-year-old males: the Gothenburg Osteoporosis and Obesity Determinants (GOOD) study.
Klingberg S; Hallenberg E; Lorentzon M; Mellström D; Ohlsson C; Hulthén L
Public Health Nutr; 2008 Nov; 11(11):1117-23. PubMed ID: 18167169
[TBL] [Abstract][Full Text] [Related]
7. Alcohol and macronutrient intake patterns are related to general and central adiposity.
Brandhagen M; Forslund HB; Lissner L; Winkvist A; Lindroos AK; Carlsson LM; Sjöström L; Larsson I
Eur J Clin Nutr; 2012 Mar; 66(3):305-13. PubMed ID: 22085868
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Relations of nutritional intake to age, sex and body mass index in Japanese elderly patients with type 2 diabetes: the Japanese Elderly Diabetes Intervention Trial.
Yoshimura Y; Kamada C; Takahashi K; Kaimoto T; Iimuro S; Ohashi Y; Araki A; Umegaki H; Sakurai T; Ito H;
Geriatr Gerontol Int; 2012 Apr; 12 Suppl 1():29-40. PubMed ID: 22435938
[TBL] [Abstract][Full Text] [Related]
10. Bias in food intake reporting in children and adolescents with type 1 diabetes: the role of body size, age and gender.
Maffeis C; Schutz Y; Fornari E; Marigliano M; Tomasselli F; Tommasi M; Chini V; Morandi A
Pediatr Diabetes; 2017 May; 18(3):213-221. PubMed ID: 26990505
[TBL] [Abstract][Full Text] [Related]
11. Sugar intake, soft drink consumption and body weight among British children: further analysis of National Diet and Nutrition Survey data with adjustment for under-reporting and physical activity.
Gibson S; Neate D
Int J Food Sci Nutr; 2007 Sep; 58(6):445-60. PubMed ID: 17710589
[TBL] [Abstract][Full Text] [Related]
12. Dietary factors associated with obesity indicators and level of sports participation in Flemish adults: a cross-sectional study.
Duvigneaud N; Wijndaele K; Matton L; Philippaerts R; Lefevre J; Thomis M; Delecluse C; Duquet W
Nutr J; 2007 Sep; 6():26. PubMed ID: 17883880
[TBL] [Abstract][Full Text] [Related]
13. Associations of body mass index and waist circumference with: energy intake and percentage energy from macronutrients, in a cohort of Australian children.
Elliott SA; Truby H; Lee A; Harper C; Abbott RA; Davies PS
Nutr J; 2011 May; 10():58. PubMed ID: 21615883
[TBL] [Abstract][Full Text] [Related]
14. Sociodemographic, lifestyle, mental health and dietary factors associated with direction of misreporting of energy intake.
Lutomski JE; van den Broeck J; Harrington J; Shiely F; Perry IJ
Public Health Nutr; 2011 Mar; 14(3):532-41. PubMed ID: 20707944
[TBL] [Abstract][Full Text] [Related]
15. Characteristics of under- and over-reporters of energy intake among young Japanese women.
Murakami K; Sasaki S; Okubo H;
J Nutr Sci Vitaminol (Tokyo); 2012; 58(4):253-62. PubMed ID: 23132309
[TBL] [Abstract][Full Text] [Related]
16. Accuracy of energy intake reporting: comparison of energy intake and resting metabolic rate and their relation to anthropometric and sociodemographic factors among Iranian women.
Shaneshin M; Rashidkhani B; Rabiei S
Arch Iran Med; 2012 Nov; 15(11):681-7. PubMed ID: 23102244
[TBL] [Abstract][Full Text] [Related]
17. Use of accelerometer data in prediction equations for capturing implausible dietary intakes in adolescents.
Noel SE; Mattocks C; Emmett P; Riddoch CJ; Ness AR; Newby PK
Am J Clin Nutr; 2010 Dec; 92(6):1436-45. PubMed ID: 20881064
[TBL] [Abstract][Full Text] [Related]
18. Prevalence and characteristics of energy intake under-reporting among Australian adults in 1995 and 2011 to 2012.
Tam KW; Veerman JL
Nutr Diet; 2019 Nov; 76(5):546-559. PubMed ID: 31257717
[TBL] [Abstract][Full Text] [Related]
19. The sugar-fat relationship revisited: differences in consumption between men and women of varying BMI.
Macdiarmid JI; Vail A; Cade JE; Blundell JE
Int J Obes Relat Metab Disord; 1998 Nov; 22(11):1053-61. PubMed ID: 9822942
[TBL] [Abstract][Full Text] [Related]
20. Characteristics of under- and over-reporters of energy intake among Japanese children and adolescents: The Ryukyus Child Health Study.
Murakami K; Miyake Y; Sasaki S; Tanaka K; Arakawa M
Nutrition; 2012 May; 28(5):532-8. PubMed ID: 22113067
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]