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Items: 1 to 20 of 46

1.

Deriving the Dietary Approaches to Stop Hypertension (DASH) Score in Women from Seven Pregnancy Cohorts from the European ALPHABET Consortium.

Aubert AM, Forhan A, de Lauzon-Guillain B, Chen LW, Polanska K, Hanke W, Jankowska A, Mensink-Bout SM, Duijts L, Suderman M, Relton CL, Crozier SR, Harvey NC, Cooper C, McAuliffe FM, Kelleher CC, Phillips CM, Heude B, Bernard JY.

Nutrients. 2019 Nov 8;11(11). pii: E2706. doi: 10.3390/nu11112706.

2.

Predictors of the dietary inflammatory index in children and associations with childhood weight status: A longitudinal analysis in the Lifeways Cross-Generation Cohort Study.

Navarro P, Shivappa N, Hébert JR, Mehegan J, Murrin CM, Kelleher CC, Phillips CM; Lifeways Cross-Generation Cohort Study.

Clin Nutr. 2019 Sep 19. pii: S0261-5614(19)33049-3. doi: 10.1016/j.clnu.2019.09.004. [Epub ahead of print]

PMID:
31606243
3.

Dietary Inflammatory Index and Non-Communicable Disease Risk: A Narrative Review.

Phillips CM, Chen LW, Heude B, Bernard JY, Harvey NC, Duijts L, Mensink-Bout SM, Polanska K, Mancano G, Suderman M, Shivappa N, Hébert JR.

Nutrients. 2019 Aug 12;11(8). pii: E1873. doi: 10.3390/nu11081873. Review.

4.

Maternal, but not paternal or grandparental, caffeine intake is associated with childhood obesity and adiposity: The Lifeways Cross-Generation Cohort Study.

Chen LW, Murrin CM, Mehegan J, Kelleher CC, Phillips CM; Cross-Generation Cohort Study for the Lifeways.

Am J Clin Nutr. 2019 Jun 1;109(6):1648-1655. doi: 10.1093/ajcn/nqz019.

PMID:
31136661
5.

Maternal Dietary Glycemic and Insulinemic Indexes Are Not Associated with Birth Outcomes or Childhood Adiposity at 5 Years of Age in an Irish Cohort Study.

Chen LW, Navarro P, Murrin CM, Mehegan J, Kelleher CC, Phillips CM; The Lifeways Cross-Generation Cohort Study.

J Nutr. 2019 Jun 1;149(6):1037-1046. doi: 10.1093/jn/nxz025.

PMID:
31049568
6.

Adherence to the Healthy Eating Index-2015 across Generations Is Associated with Birth Outcomes and Weight Status at Age 5 in the Lifeways Cross-Generation Cohort Study.

Navarro P, Mehegan J, Murrin CM, Kelleher CC, Phillips CM.

Nutrients. 2019 Apr 25;11(4). pii: E928. doi: 10.3390/nu11040928.

7.

Associations of maternal caffeine intake with birth outcomes: results from the Lifeways Cross Generation Cohort Study.

Chen LW, Fitzgerald R, Murrin CM, Mehegan J, Kelleher CC, Phillips CM; Lifeways Cross Generation Cohort Study.

Am J Clin Nutr. 2018 Dec 1;108(6):1301-1308. doi: 10.1093/ajcn/nqy219.

PMID:
30339199
8.

Relationship between dietary quality, determined by DASH score, and cardiometabolic health biomarkers: A cross-sectional analysis in adults.

Phillips CM, Harrington JM, Perry IJ.

Clin Nutr. 2019 Aug;38(4):1620-1628. doi: 10.1016/j.clnu.2018.08.028. Epub 2018 Sep 1.

PMID:
30219609
9.

Dietary Inflammatory Index and Biomarkers of Lipoprotein Metabolism, Inflammation and Glucose Homeostasis in Adults.

Phillips CM, Shivappa N, Hébert JR, Perry IJ.

Nutrients. 2018 Aug 8;10(8). pii: E1033. doi: 10.3390/nu10081033.

10.

Replacement of Sedentary Time with Physical Activity: Effect on Lipoproteins.

Phillips CM, Dillon CB, Perry IJ.

Med Sci Sports Exerc. 2018 May;50(5):967-976. doi: 10.1249/MSS.0000000000001511.

PMID:
29219943
11.

Does replacing sedentary behaviour with light or moderate to vigorous physical activity modulate inflammatory status in adults?

Phillips CM, Dillon CB, Perry IJ.

Int J Behav Nutr Phys Act. 2017 Oct 11;14(1):138. doi: 10.1186/s12966-017-0594-8.

12.

Dietary inflammatory index and mental health: A cross-sectional analysis of the relationship with depressive symptoms, anxiety and well-being in adults.

Phillips CM, Shivappa N, Hébert JR, Perry IJ.

Clin Nutr. 2018 Oct;37(5):1485-1491. doi: 10.1016/j.clnu.2017.08.029. Epub 2017 Sep 5.

PMID:
28912008
13.
14.

Metabolically healthy obesity across the life course: epidemiology, determinants, and implications.

Phillips CM.

Ann N Y Acad Sci. 2017 Mar;1391(1):85-100. doi: 10.1111/nyas.13230. Epub 2016 Oct 10. Review.

PMID:
27723940
15.

Number of Days Required to Estimate Habitual Activity Using Wrist-Worn GENEActiv Accelerometer: A Cross-Sectional Study.

Dillon CB, Fitzgerald AP, Kearney PM, Perry IJ, Rennie KL, Kozarski R, Phillips CM.

PLoS One. 2016 May 5;11(5):e0109913. doi: 10.1371/journal.pone.0109913. eCollection 2016.

16.

Metabolically Healthy Obesity: Personalised and Public Health Implications.

Phillips CM.

Trends Endocrinol Metab. 2016 Apr;27(4):189-191. doi: 10.1016/j.tem.2016.02.001. Epub 2016 Feb 23.

PMID:
26915289
17.

Assessing cardiometabolic risk in middle-aged adults using body mass index and waist-height ratio: are two indices better than one? A cross-sectional study.

Millar SR, Perry IJ, Phillips CM.

Diabetol Metab Syndr. 2015 Sep 7;7:73. doi: 10.1186/s13098-015-0069-5. eCollection 2015.

18.

Lipoprotein particle subclass profiles among metabolically healthy and unhealthy obese and non-obese adults: does size matter?

Phillips CM, Perry IJ.

Atherosclerosis. 2015 Oct;242(2):399-406. doi: 10.1016/j.atherosclerosis.2015.07.040. Epub 2015 Jul 23.

PMID:
26277632
19.

HbA1c alone is a poor indicator of cardiometabolic risk in middle-aged subjects with pre-diabetes but is suitable for type 2 diabetes diagnosis: a cross-sectional study.

Millar SR, Perry IJ, Phillips CM.

PLoS One. 2015 Aug 12;10(8):e0134154. doi: 10.1371/journal.pone.0134154. eCollection 2015.

20.

Depressive symptoms, anxiety and well-being among metabolic health obese subtypes.

Phillips CM, Perry IJ.

Psychoneuroendocrinology. 2015 Dec;62:47-53. doi: 10.1016/j.psyneuen.2015.07.168. Epub 2015 Jul 17.

PMID:
26232649

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