Journal Articles and Reports

DIET programme output

We aimed to evaluate the effects of 2 interpretive nutrition labels compared with a noninterpretive label on consumer food purchases.

The Price ExaM study aims to derive accurate and precise food PE values, quantify the impact of price changes on quantity and quality of discrete food group purchases and model the potential health and disease impacts of a range of food taxes and subsidies.

This study sought to develop a sodium reduction model to determine the reductions required in the sodium content of packaged foods and other dietary sources of sodium to reduce adult population salt intake by ~ 30% toward the optimal WHO target of 5 g/d.

The aim of this study was to compare estimates of nutrient exposure from a store survey of packaged food with those from household panel food purchases.

This study aimed to identify health gain and cost impacts of achieving national targets for sodium reduction by using an established dietary sodium intervention model to study 10 interventions designed to meet the targets.

The Food Label Trial (FLT) smartphone app is one of the first apps to enable conduct of fully automated, randomised controlled trials, including remote delivery of intervention, and collection of individual-level data on food purchases. This paper describes the development and functionality of the FLT app which was used for two trials (in NZ and Australia), provides an overview of the end product, and reports preliminary usage statistics and common technical issues.

Interpretive front-of-pack nutrition labels are better understood than non-interpretive labels. However, robust evidence on the effects of such labels on consumer food purchases in the real-world is lacking. The aim of this trial is to assess the effects of two interpretive front-of-pack nutrition labels, compared with a non-interpretive label, on the healthiness of consumer food purchases.

Since 2011, The National Institute for Health Innovation (NIHI) at the University of Auckland has been undertaking annual systematic surveys of the nutrient composition of packaged foods available in New Zealand supermarkets and fast food restaurants (the Nutritrack database). NIHI recently combined Nielsen Homescan® and Nutritrack data to (1) assess population exposure to sodium, saturated fat, and sugar in New Zealand, and (2) identify key opportunities for reformulation of processed foods with the largest potential population health benefits.

Other related DIET team research

Ni Mhurchu C, Mackenzie T, Vandevijvere S. Protecting New Zealand children from exposure to the marketing of unhealthy foods and drinks: a comparison of three nutrient profiling systems for food classification. New Zealand Medical Journal, September 9, 2016

Al-Ani H.H., Devi A, Eyles H, Swinburn B, Vandevijvere S.  Nutrition and health claims on healthy and less healthy packaged food products in New Zealand.  British Journal of Nutrition, August 9, 2016; doi: 10.1017/S0007114516002981

Gemming L, Ni Mhurchu C. Dietary under-reporting: what foods and which meals are typically under-reported? European Journal of Clinical Nutrition 2015; advance online publication, December 16, 2015; doi: 10.1038/ejcn.2015.204

Luiten C, Steenhuis I, Eyles H, Ni Mhurchu C, Waterlander W. Ultra-processed foods have the worst nutrient profile, yet they are the most available packaged products in a sample of New Zealand supermarkets. Public Health Nutrition, July 2015. doi:10.1017/S1368980015002177.

Maartje P Poelman, Helen Eyles, Elizabeth Dunford, Alyssa Schermel, Mary R L’Abbe, Bruce Neal, Jacob C Seidell, Ingrid HM Steenhuis and Cliona Ni Mhurchu. Package size and manufacturer-recommended serving size of sweet beverages: a cross-sectional study across four high-income countries. Public Health Nutrition, available on CJO2015. doi:10.1017/S1368980015001974.

Ni Mhurchu C, Eyles H, Genc M, Scarborough P, Rayner M, Mizdrak A, Nnoaham K, Blakely T. Effects of health-related food taxes and subsidies on mortality from diet-related disease in New Zealand: an econometric-epidemiologic modelling study. PLOS ONE 2015; published online 8 July 2015 doi: 10.1371/journal.pone.0128477

Monro D, Ni Mhurchu C, Jiang Y, Gorton D and Eyles H. Changes in the Sodium Content of New Zealand Processed Foods: 2003–2013. Nutrients 2015, 7(6), 4054-4067; doi:10.3390/nu7064054

[Image courtesy of Mister GC at FreeDigitalPhotos.net]

Waterlander WE, Jiang Y, Steenhuis IHM, Ni Mhurchu C. Using a 3D Virtual Supermarket to Measure Food Purchase Behavior: A Validation Study. J Med Internet Res 2015;17(4):e107

Ni Mhurchu C, Brown R, Jiang Y, Eyles H, Dunford E and Neal B. Nutrient profile of 23,596 packaged supermarket foods and non-alcoholic beverages in Australia and New Zealand. Public Health Nutrition, available on CJO2015. doi:10.1017/S1368980015000968.

Wilma Waterlander and Shannon Zenk (2015). Food labelling, food retail availability and food pricing – moving from research to action?. Public Health Nutrition, 18, pp 2-7. doi:10.1017/S1368980014002638.

Volkova E, Ni Mhurchu C. The Influence of nutrition labeling and point-of-purchase information on food behaviours. Current Obesity Reports, , Volume 4, Issue 1, pp 19-29 DOI 10.1007/s13679-014-0135-6

Wilson N, Nghiem N, Eyles H, Ni Mhurchu C, Cobiac, LJ, Pearson AL, Cleghorn C, Blakely T.  Possible impact of the Tick programme in New Zealand on selected nutrient intakes:  tentative estimates and methodological complexities.  New Zealand Medical Journal 2014, 127 (1399); p 85-88