Format
Items per page
Sort by

Send to:

Choose Destination

Search results

Items: 1 to 20 of 38

1.
2.

Consumption of a healthy dietary pattern results in significant reductions in C-reactive protein levels in adults: a meta-analysis.

Neale EP, Batterham MJ, Tapsell LC.

Nutr Res. 2016 May;36(5):391-401. doi: 10.1016/j.nutres.2016.02.009. Epub 2016 Feb 22. Review.

PMID:
27101757
3.

Identification of dietary patterns associated with blood pressure in a sample of overweight Australian adults.

Anil S, Charlton KE, Tapsell LC, Probst Y, Ndanuko R, Batterham MJ.

J Hum Hypertens. 2016 Mar 24. doi: 10.1038/jhh.2016.10. [Epub ahead of print]

PMID:
27011257
4.

Comparison of Resting Energy Expenditure Between Cancer Subjects and Healthy Controls: A Meta-Analysis.

Nguyen TY, Batterham MJ, Edwards C.

Nutr Cancer. 2016 Apr;68(3):374-87. doi: 10.1080/01635581.2016.1153667. Epub 2016 Mar 23.

PMID:
27007947
5.

Improved interpretation of studies comparing methods of dietary assessment: combining equivalence testing with the limits of agreement.

Batterham MJ, Van Loo C, Charlton KE, Cliff DP, Okely AD.

Br J Nutr. 2016 Apr;115(7):1273-80. doi: 10.1017/S0007114516000040. Epub 2016 Feb 16.

PMID:
26879342
6.

Dietary Patterns and Blood Pressure in Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Ndanuko RN, Tapsell LC, Charlton KE, Neale EP, Batterham MJ.

Adv Nutr. 2016 Jan 15;7(1):76-89. doi: 10.3945/an.115.009753. Print 2016 Jan. Review.

PMID:
26773016
7.

Interdisciplinary lifestyle intervention for weight management in a community population (HealthTrack study): Study design and baseline sample characteristics.

Tapsell LC, Lonergan M, Martin A, Batterham MJ, Neale EP; HealthTrack Study Team.

Contemp Clin Trials. 2015 Nov;45(Pt B):394-403. doi: 10.1016/j.cct.2015.10.008. Epub 2015 Oct 21.

PMID:
26498404
8.

Weight loss effects from vegetable intake: a 12-month randomised controlled trial.

Tapsell LC, Batterham MJ, Thorne RL, O'Shea JE, Grafenauer SJ, Probst YC.

Eur J Clin Nutr. 2014 Jul;68(7):778-85. doi: 10.1038/ejcn.2014.39. Epub 2014 Mar 26.

9.

Development and validation of a Food Choices Score for use in weight-loss interventions.

Grafenauer SJ, Tapsell LC, Beck EJ, Batterham MJ.

Br J Nutr. 2014 May 28;111(10):1862-70. doi: 10.1017/S0007114514000063. Epub 2014 Feb 6.

PMID:
24503141
10.

Intraindividual variation in urinary iodine concentrations: effect of adjustment on population distribution using two and three repeated spot urine collections.

Charlton KE, Batterham MJ, Buchanan LM, Mackerras D.

BMJ Open. 2014 Jan 8;4(1):e003799. doi: 10.1136/bmjopen-2013-003799.

11.

Foods, nutrients or whole diets: effects of targeting fish and LCn3PUFA consumption in a 12mo weight loss trial.

Tapsell LC, Batterham MJ, Charlton KE, Neale EP, Probst YC, O'Shea JE, Thorne RL, Zhang Q, Louie JC.

BMC Public Health. 2013 Dec 26;13:1231. doi: 10.1186/1471-2458-13-1231.

12.

Addressing the deficiencies in the evidence-base for primary practice in regional Australia - sentinel practices data sourcing (SPDS) project: a pilot study.

Ghosh A, Charlton KE, Girdo L, Batterham MJ, McDonald K.

BMC Fam Pract. 2013 Aug 1;14:109. doi: 10.1186/1471-2296-14-109.

13.

Analyzing weight loss intervention studies with missing data: which methods should be used?

Batterham MJ, Tapsell LC, Charlton KE.

Nutrition. 2013 Jul-Aug;29(7-8):1024-9. doi: 10.1016/j.nut.2013.01.017. Epub 2013 May 2.

PMID:
23644010
14.

Baseline dietary patterns are a significant consideration in correcting dietary exposure for weight loss.

Grafenauer SJ, Tapsell LC, Beck EJ, Batterham MJ.

Eur J Clin Nutr. 2013 Apr;67(4):330-6. doi: 10.1038/ejcn.2013.26. Epub 2013 Feb 13.

PMID:
23403877
15.

Short-term effects of fish and fish oil consumption on total and high molecular weight adiponectin levels in overweight and obese adults.

Neale EP, Muhlhausler B, Probst YC, Batterham MJ, Fernandez F, Tapsell LC.

Metabolism. 2013 May;62(5):651-60. doi: 10.1016/j.metabol.2012.10.014. Epub 2012 Nov 26.

PMID:
23190874
16.

A school-based intervention to promote physical activity among adolescent girls: rationale, design, and baseline data from the Girls in Sport group randomised controlled trial.

Okely AD, Cotton WG, Lubans DR, Morgan PJ, Puglisi L, Miller J, Wright J, Batterham MJ, Peralta LR, Perry J.

BMC Public Health. 2011 Aug 19;11:658. doi: 10.1186/1471-2458-11-658.

17.

Effect of 6 weeks' consumption of β-glucan-rich oat products on cholesterol levels in mildly hypercholesterolaemic overweight adults.

Charlton KE, Tapsell LC, Batterham MJ, O'Shea J, Thorne R, Beck E, Tosh SM.

Br J Nutr. 2012 Apr;107(7):1037-47. doi: 10.1017/S0007114511003850. Epub 2011 Aug 3.

PMID:
21810288
18.

Validity of the BodyGem calorimeter and prediction equations for the assessment of resting energy expenditure in overweight and obese Saudi males.

Almajwal AM, Williams PG, Batterham MJ.

Saudi Med J. 2011 Jul;32(7):718-24. Erratum in: Saudi Med J. 2011 Sep;32(9):972.

PMID:
21748210
19.

Diet high in oat β-glucan activates the gut-hypothalamic (PYY₃₋₃₆-NPY) axis and increases satiety in diet-induced obesity in mice.

Huang XF, Yu Y, Beck EJ, South T, Li Y, Batterham MJ, Tapsell LC, Chen J.

Mol Nutr Food Res. 2011 Jul;55(7):1118-21. doi: 10.1002/mnfr.201100095. Epub 2011 Jun 20.

PMID:
21688388
20.

Pork, beef and chicken have similar effects on acute satiety and hormonal markers of appetite.

Charlton KE, Tapsell LC, Batterham MJ, Thorne R, O'Shea J, Zhang Q, Beck EJ.

Appetite. 2011 Feb;56(1):1-8. doi: 10.1016/j.appet.2010.10.013. Epub 2010 Nov 5.

PMID:
21056606
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Loading ...
Write to the Help Desk