O'Driscoll R - Search Results

1

Postprandial glycaemic dips predict appetite and energy intake in healthy individuals.

Wyatt P, Berry SE, Finlayson G, O'Driscoll R, Hadjigeorgiou G, Drew DA, Khatib HA, Nguyen LH, Linenberg I, Chan AT, Spector TD, Franks PW, Wolf J, Blundell J, Valdes AM. Wyatt P, et al. Nat Metab. 2021 Apr;3(4):523-529. doi: 10.1038/s42255-021-00383-x. Epub 2021 Apr 12. Nat Metab. 2021. PMID: 33846643 Free PMC article.

2

How well do activity monitors estimate energy expenditure? A systematic review and meta-analysis of the validity of current technologies.

O'Driscoll R, Turicchi J, Beaulieu K, Scott S, Matu J, Deighton K, Finlayson G, Stubbs J. O'Driscoll R, et al. Br J Sports Med. 2020 Mar;54(6):332-340. doi: 10.1136/bjsports-2018-099643. Epub 2018 Sep 7. Br J Sports Med. 2020. PMID: 30194221 Free article.

3

Associations between the rate, amount, and composition of weight loss as predictors of spontaneous weight regain in adults achieving clinically significant weight loss: A systematic review and meta-regression.

Turicchi J, O'Driscoll R, Finlayson G, Beaulieu K, Deighton K, Stubbs RJ. Turicchi J, et al. Obes Rev. 2019 Jul;20(7):935-946. doi: 10.1111/obr.12849. Epub 2019 Mar 29. Obes Rev. 2019. PMID: 30925026 Free article.

4

Associations between the proportion of fat-free mass loss during weight loss, changes in appetite, and subsequent weight change: results from a randomized 2-stage dietary intervention trial.

Turicchi J, O'Driscoll R, Finlayson G, Duarte C, Hopkins M, Martins N, Michalowska J, Larsen TM, van Baak MA, Astrup A, Stubbs RJ. Turicchi J, et al. Am J Clin Nutr. 2020 Mar 1;111(3):536-544. doi: 10.1093/ajcn/nqz331. Am J Clin Nutr. 2020. PMID: 31950141 Free article. Clinical Trial.

5

Improving energy expenditure estimates from wearable devices: A machine learning approach.

O'Driscoll R, Turicchi J, Hopkins M, Horgan GW, Finlayson G, Stubbs JR. O'Driscoll R, et al. J Sports Sci. 2020 Jul;38(13):1496-1505. doi: 10.1080/02640414.2020.1746088. Epub 2020 Apr 6. J Sports Sci. 2020. PMID: 32252598 Free article.

6

Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study.

Turicchi J, O'Driscoll R, Finlayson G, Duarte C, Palmeira AL, Larsen SC, Heitmann BL, Stubbs RJ. Turicchi J, et al. JMIR Mhealth Uhealth. 2020 Sep 11;8(9):e17977. doi: 10.2196/17977. JMIR Mhealth Uhealth. 2020. PMID: 32915155 Free PMC article.

7

The impact of early body-weight variability on long-term weight maintenance: exploratory results from the NoHoW weight-loss maintenance intervention.

Turicchi J, O'Driscoll R, Lowe M, Finlayson G, Palmeira AL, Larsen SC, Heitmann BL, Stubbs J. Turicchi J, et al. Int J Obes (Lond). 2021 Mar;45(3):525-534. doi: 10.1038/s41366-020-00706-0. Epub 2020 Nov 3. Int J Obes (Lond). 2021. PMID: 33144700

8

Author Correction: Postprandial glycaemic dips predict appetite and energy intake in healthy individuals.

Wyatt P, Berry SE, Finlayson G, O'Driscoll R, Hadjigeorgiou G, Drew DA, Khatib HA, Nguyen LH, Linenberg I, Chan AT, Spector TD, Franks PW, Wolf J, Blundell J, Valdes AM. Wyatt P, et al. Among authors: o driscoll r. Nat Metab. 2021 Jul;3(7):1032. doi: 10.1038/s42255-021-00436-1. Nat Metab. 2021. PMID: 34253908 No abstract available.

9

Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study.

O'Driscoll R, Turicchi J, Hopkins M, Duarte C, Horgan GW, Finlayson G, Stubbs RJ. O'Driscoll R, et al. JMIR Mhealth Uhealth. 2021 Aug 4;9(8):e23938. doi: 10.2196/23938. JMIR Mhealth Uhealth. 2021. PMID: 34346890 Free PMC article.

10

Developing evidence-based behavioural strategies to overcome physiological resistance to weight loss in the general population.

Stubbs RJ, Duarte C, O'Driscoll R, Turicchi J, Michalowska J. Stubbs RJ, et al. Proc Nutr Soc. 2019 Nov;78(4):576-589. doi: 10.1017/S0029665119001083. Proc Nutr Soc. 2019. PMID: 31670628 Free article.

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