291 related articles for article (PubMed ID: 23541169)
1. Diurnal eating rhythms: association with long-term development of diabetes in the 1946 British birth cohort.
Almoosawi S; Prynne CJ; Hardy R; Stephen AM
Nutr Metab Cardiovasc Dis; 2013 Oct; 23(10):1025-30. PubMed ID: 23541169
[TBL] [Abstract][Full Text] [Related]
2. Time-of-day and nutrient composition of eating occasions: prospective association with the metabolic syndrome in the 1946 British birth cohort.
Almoosawi S; Prynne CJ; Hardy R; Stephen AM
Int J Obes (Lond); 2013 May; 37(5):725-31. PubMed ID: 22777542
[TBL] [Abstract][Full Text] [Related]
3. The association of energy and macronutrient intake at dinner vs breakfast with the incidence of type 2 diabetes mellitus in a cohort study: The China Health and Nutrition Survey, 1997-2011.
Ren X; Yang X; Jiang H; Han T; Sun C
J Diabetes; 2021 Nov; 13(11):882-892. PubMed ID: 33848061
[TBL] [Abstract][Full Text] [Related]
4. Daily profiles of energy and nutrient intakes: are eating profiles changing over time?
Almoosawi S; Winter J; Prynne CJ; Hardy R; Stephen AM
Eur J Clin Nutr; 2012 Jun; 66(6):678-86. PubMed ID: 22190135
[TBL] [Abstract][Full Text] [Related]
5. Inadequate fat or carbohydrate intake was associated with an increased incidence of type 2 diabetes mellitus in Korean adults: A 12-year community-based prospective cohort study.
Ha K; Joung H; Song Y
Diabetes Res Clin Pract; 2019 Feb; 148():254-261. PubMed ID: 30703429
[TBL] [Abstract][Full Text] [Related]
6. Dietary survey in Japanese patients with type 2 diabetes and the influence of dietary carbohydrate on glycated hemoglobin: The Sleep and Food Registry in Kanagawa study.
Yamakawa T; Sakamoto R; Takahashi K; Suzuki J; Matuura-Shinoda M; Takahashi M; Shigematsu E; Tanaka S; Kaneshiro M; Asakura T; Kawata T; Yamada Y; Osada UN; Isozaki T; Takahashi A; Kadonosono K; Terauchi Y
J Diabetes Investig; 2019 Mar; 10(2):309-317. PubMed ID: 30070047
[TBL] [Abstract][Full Text] [Related]
7. Day-Time Patterns of Carbohydrate Intake in Adults by Non-Parametric Multi-Level Latent Class Analysis-Results from the UK National Diet and Nutrition Survey (2008/09-2015/16).
Wang C; Almoosawi S; Palla L
Nutrients; 2019 Oct; 11(10):. PubMed ID: 31618988
[TBL] [Abstract][Full Text] [Related]
8. Irregularity of energy intake at meals: prospective associations with the metabolic syndrome in adults of the 1946 British birth cohort.
Pot GK; Hardy R; Stephen AM
Br J Nutr; 2016 Jan; 115(2):315-23. PubMed ID: 26548599
[TBL] [Abstract][Full Text] [Related]
9. Diurnal Patterns of Energy Intake Derived via Principal Component Analysis and Their Relationship with Adiposity Measures in Adolescents: Results from the National Diet and Nutrition Survey RP (2008⁻2012).
Palla L; Almoosawi S
Nutrients; 2019 Feb; 11(2):. PubMed ID: 30781551
[TBL] [Abstract][Full Text] [Related]
10. A high-fat, high-glycaemic index, low-fibre dietary pattern is prospectively associated with type 2 diabetes in a British birth cohort.
Pastorino S; Richards M; Pierce M; Ambrosini GL
Br J Nutr; 2016 May; 115(9):1632-42. PubMed ID: 27245103
[TBL] [Abstract][Full Text] [Related]
11. Time-of-day of energy intake: association with hypertension and blood pressure 10 years later in the 1946 British Birth Cohort.
Almoosawi S; Prynne CJ; Hardy R; Stephen AM
J Hypertens; 2013 May; 31(5):882-92. PubMed ID: 23385650
[TBL] [Abstract][Full Text] [Related]
12. Low-carbohydrate and high-fat intake among adult patients with poorly controlled type 2 diabetes mellitus.
Ma Y; Olendzki BC; Hafner AR; Chiriboga DE; Culver AL; Andersen VA; Merriam PA; Pagoto SL
Nutrition; 2006; 22(11-12):1129-36. PubMed ID: 17027229
[TBL] [Abstract][Full Text] [Related]
13. Face Validity of Observed Meal Patterns Reported with 7-Day Diet Diaries in a Large Population-Based Cohort Using Diurnal Variation in Concentration Biomarkers of Dietary Intake.
Lentjes MAH; Oude Griep LM; Mulligan AA; Montgomery S; Wareham NJ; Khaw KT
Nutrients; 2022 Jan; 14(2):. PubMed ID: 35057419
[TBL] [Abstract][Full Text] [Related]
14. Irregular consumption of energy intake in meals is associated with a higher cardiometabolic risk in adults of a British birth cohort.
Pot GK; Hardy R; Stephen AM
Int J Obes (Lond); 2014 Dec; 38(12):1518-24. PubMed ID: 24675713
[TBL] [Abstract][Full Text] [Related]
15. Eating Frequency and Carbohydrate Intake in Adolescents with Type 1 Diabetes Differ from Those in Their Peers and are Associated with Glycemic Control.
Baechle C; Hoyer A; Castillo-Reinado K; Stahl-Pehe A; Kuss O; Holl RW; Kersting M; Rosenbauer J;
Exp Clin Endocrinol Diabetes; 2018 May; 126(5):277-286. PubMed ID: 28895637
[TBL] [Abstract][Full Text] [Related]
16. The Association of Energy and Macronutrient Intake at Dinner Versus Breakfast With Disease-Specific and All-Cause Mortality Among People With Diabetes: The U.S. National Health and Nutrition Examination Survey, 2003-2014.
Han T; Gao J; Wang L; Li C; Qi L; Sun C; Li Y
Diabetes Care; 2020 Jul; 43(7):1442-1448. PubMed ID: 32354697
[TBL] [Abstract][Full Text] [Related]
17. Association of diet with glycated hemoglobin during intensive treatment of type 1 diabetes in the Diabetes Control and Complications Trial.
Delahanty LM; Nathan DM; Lachin JM; Hu FB; Cleary PA; Ziegler GK; Wylie-Rosett J; Wexler DJ;
Am J Clin Nutr; 2009 Feb; 89(2):518-24. PubMed ID: 19106241
[TBL] [Abstract][Full Text] [Related]
18. Lower carbohydrate and higher fat intakes are associated with higher hemoglobin A1c: findings from the UK National Diet and Nutrition Survey 2008-2016.
Churuangsuk C; Lean MEJ; Combet E
Eur J Nutr; 2020 Sep; 59(6):2771-2782. PubMed ID: 31686204
[TBL] [Abstract][Full Text] [Related]
19. Is the Proportion of Carbohydrate Intake Associated with the Incidence of Diabetes Complications?-An Analysis of the Japan Diabetes Complications Study.
Horikawa C; Yoshimura Y; Kamada C; Tanaka S; Tanaka S; Matsunaga S; Hanyu O; Araki A; Ito H; Tanaka A; Ohashi Y; Akanuma Y; Sone H
Nutrients; 2017 Feb; 9(2):. PubMed ID: 28178180
[TBL] [Abstract][Full Text] [Related]
20. Meal analysis for understanding eating behavior: meal- and participant-specific predictors for the variance in energy and macronutrient intake.
Schwedhelm C; Iqbal K; Schwingshackl L; Agogo GO; Boeing H; Knüppel S
Nutr J; 2019 Mar; 18(1):15. PubMed ID: 30845933
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]