Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where John O’Reilly is active.

Publication


Featured researches published by John O’Reilly.


Sports Medicine | 2010

Glycaemic index, glycaemic load and exercise performance.

John O’Reilly; Stephen H. Wong; Yajun Chen

The concept of the glycaemic index (GI) was first introduced in the early 1980s as a method of functionally ranking carbohydrate foods based on their actual postprandial blood glucose response compared with a reference food (either glucose or white bread). Although the GI is a debatable topic among many exercise and health professionals, nutritional recommendations to improve exercise performance and enhance exercise capacity are regularly based on information related to the GI.Studies focusing on the consumption of a pre-exercise GI meal have provided evidence that a benefit exists in relation to endurance performance and substrate utilization when a low GI meal is compared with a high GI meal. However, other investigations have shown that when nutritional strategies incorporating GI are applied to multiple meals, there is no clear advantage to the athlete in terms of exercise performance and capacity. It has been suggested that carbohydrate ingestion during endurance exercise negates the effect of the consumption of pre-exercise GI meals.The glycaemic load (GL) is a relatively novel concept in the area of sports nutrition, and has not been widely investigated. Its premise is that the effect, if any, on exercise performance is determined by the overall glycaemic effect of a diet and not by the amount of carbohydrate alone. The claims for GL have been disputed by a number of sports nutrition specialists, and have gone largely unrecognized by professional and scientific bodies. Research on the effect of the GL on exercise performance and capacity is still at an early stage, but recent studies have shown that the concept may have some merit as far as sports nutrition is concerned. It has been suggested that the GL may be a better predictor of glycaemic responses than the GI alone.


Nutrition Reviews | 2017

Influence of adipose tissue mass on bone mass in an overweight or obese population: systematic review and meta-analysis

Eimear Dolan; Paul Alan Swinton; Craig Sale; Aoife Healy; John O’Reilly

Context: The scientific literature shows conflicting evidence about the relationship between adiposity and bone mass in overweight and obese populations. Objective: The aim of this review was to quantify the correlation between adipose mass (absolute and relative) and bone mineral density (BMD) in overweight and obese populations. Data Sources: Three databases were searched electronically. In addition, reference lists of relevant articles were screened. Study Selection: A total of 16 studies, comprising 2587 participants and 75 correlation coefficients were selected for inclusion in the review. Data Extraction: Data were extracted from each study using a standardized form. Results: Multilevel modeling indicated opposing relationships between BMD and adiposity: absolute adiposity correlated positively, and relative adiposity negatively, with BMD. Sex and age were the primary moderators of these relationships. Strong evidence supported a negative relationship between relative adipose mass and BMD in men (R = −0.37; 95%CI, −0.57 to −0.12) and in those aged less than 25 years (R = −0.28; 95%CI, −0.45 to −0.08). Conclusion: To prevent bone loss in overweight and obese populations, nutrition‐ and exercise‐based interventions that focus on a controlled reduction of adipose mass with concomitant preservation of lean mass are recommended. Systematic Review Registration: PROSPERO no. CRD42015024313.


International Journal of Food Sciences and Nutrition | 2013

Effect of the glycemic index of pre-exercise snack bars on substrate utilization during subsequent exercise

Feng-Hua Sun; John O’Reilly; Liang Li; Stephen H. Wong

Abstract Purpose: To investigate the effect of the glycemic index (GI) of pre-exercise snack bars on substrate utilization during subsequent moderate intensity exercise. Methods: Fourteen male participants (Age: 27 ± 5 yr; BMI: 22.5 ± 2.7 kg m−2; : 48.7 ± 6.1 mL kg−1 min−1) completed two trials in a randomized and counterbalanced crossover design. Two iso-caloric snack bars with different GI values (20, LGI versus 68, HGI) were provided to the participants. Ninety minutes later, all participants completed 45 minutes of ergometer cycling at 65% . Substrate utilization was measured using indirect calorimetry. Results: During exercise, higher fat oxidation and lower carbohydrate (CHO) oxidation were observed in the LGI trial (LGI versus HGI: CHO, 87.3 ± 20.1 versus 99.2 ± 19.0 g, p < 0.05; Fat, 15.0 ± 5.8 versus 9.7 ± 7.0 g, p < 0.05). Conclusion: Compared with an iso-caloric HGI snack bar, pre-exercise LGI snack bar consumption may facilitate a shift of substrate utilization from CHO to fat during subsequent moderate intensity exercise.


Journal of Sports Sciences | 2017

New insights in professional horse racing; “in-race” heart rate data, elevated fracture risk, hydration, nutritional and lifestyle analysis of elite professional jockeys

John O’Reilly; Hoi Lun Cheng; Eric Tsz-Chun Poon

ABSTRACT Weight-making practices have been shown to impair musculoskeletal and physiological function of jockeys. This study investigated the “in-race” heart rate (HR) responses and hydration status during competitive racing, as well as selected physiological and lifestyle parameters of professional jockeys based in Hong Kong. “In-race” HR responses and early morning hydration status of 20 male jockeys were examined in hot and moderate climactic occasions. Additionally, bone mineral density (BMD), dietary intake and lifestyle choices were assessed. Osteopenia was observed in the calcanei of jockeys (left: 0.51 ± 0.06; right: 0.46 ± 0.12 g · cm−2). Energy and protein intake were significantly lower on a race day compared to a non-race day (P < 0.05). “In-race” HRmax values were similar to those from VO2max laboratory tests (186 ± 14 vs. 185 ± 8 bpm). Hypohydration was observed on both racing days. (USG: 1.0247 ± 0.006 and 1.0256 ± 0.0258 mg · L−1 for hot and moderate conditions, respectively). Sauna usage (25.5%) and food restriction (20.4%) were the most common weight-making practices. Current lifestyle choices of jockeys result in suboptimal bone health, hydration status and nutritional intake, which can significantly enhance the fracture risk. Further research should develop exercise and nutrition guidelines for optimising their skeletal health.


BMC Public Health | 2015

Relationship of BMI to the incidence of hypertension: a 4 years’ cohort study among children in Guangzhou, 2007–2011

Jiao Wang; Yanna Zhu; Jin Jing; Yajun Chen; Jincheng Mai; Stephen H. Wong; John O’Reilly; Lu Ma


Medicine and Science in Sports and Exercise | 2017

Does Adipose Tissue Mass Positively Or Negatively Influence BMD In An Overweight Or Obese Population? A Systematic Review And Meta-Analysis: 1540 Board #215 June 1 9

Eimear Dolan; Aoife Healy; John O’Reilly; Craig Sale; Paul Alan Swinton


International Journal of Sport Nutrition and Exercise Metabolism | 2017

Markers of Bone Health, Bone-Specific Physical Activities, Nutritional Intake, and Quality of Life of Professional Jockeys in Hong Kong

Eric Tsz-Chun Poon; John O’Reilly; Sinead Sheridan; Michelle Mingjing Cai; Stephen H. Wong


Medicine and Science in Sports and Exercise | 2016

Wearing Compression Garment Enhances Cardiac Efficiency from Supine to Head Up Tilt: 3724 Board #163 June 4, 9

Daniel Chi Wo Lee; Kim S. Khaw; S.W.Y. Lee; Ali Ajmol; John O’Reilly; Stephen H. Wong


Medicine and Science in Sports and Exercise | 2016

Bone Health, Nutritional Intake, Physical Activity and Quality of Life: Professional Jockeys in Hong Kong

Eric Tsz-Chun Poon; John O’Reilly; Stephen H. Wong


Medicine and Science in Sports and Exercise | 2015

Effect Of An Electrolyte Beverage On Blood Hydration Markers Following 45 Minutes Of High-intensity Exercise: 2859 Board #174 May 29, 3

Daniel C. Lee; John O’Reilly; Feng-Hua Sun; Stephen H. Wong

Collaboration


Dive into the John O’Reilly's collaboration.

Top Co-Authors

Avatar

Stephen H. Wong

The Chinese University of Hong Kong

View shared research outputs
Top Co-Authors

Avatar

Eric Tsz-Chun Poon

The Chinese University of Hong Kong

View shared research outputs
Top Co-Authors

Avatar

Feng-Hua Sun

University of Hong Kong

View shared research outputs
Top Co-Authors

Avatar

Yajun Chen

Sun Yat-sen University

View shared research outputs
Top Co-Authors

Avatar

Eimear Dolan

University of São Paulo

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Craig Sale

Nottingham Trent University

View shared research outputs
Top Co-Authors

Avatar

Kim S. Khaw

The Chinese University of Hong Kong

View shared research outputs
Top Co-Authors

Avatar

Liang Li

The Chinese University of Hong Kong

View shared research outputs
Top Co-Authors

Avatar

S.W.Y. Lee

The Chinese University of Hong Kong

View shared research outputs
Researchain Logo
Decentralizing Knowledge