Seventeen-Year Associations between Diet Quality Defined by the Health Star Rating and Mortality in Australians: The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)

Author:

Pan Xiong-Fei12,Magliano Dianna J3,Zheng Miaobing4ORCID,Shahid Maria1,Taylor Fraser1,Julia Chantal56ORCID,Ni Mhurchu Cliona17,Pan An2,Shaw Jonathan E3,Neal Bruce18,Wu Jason H Y1ORCID

Affiliation:

1. The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia

2. Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China

3. Diabetes and Population Health Unit, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia

4. Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Victoria, Australia

5. Sorbonne Paris Nord University, Inserm, Inrae, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre – University of Paris (CRESS), Bobigny, France

6. Department of Public Health, Avicenne Hospital (AP-HP), Bobigny, France

7. National Institute for Health Innovation, University of Auckland, Auckland, New Zealand

8. School of Public Health, Imperial College London, London, United Kingdom

Abstract

ABSTRACT Background The Health Star Rating (HSR) is the government-endorsed front-of-pack labeling system in Australia and New Zealand. Objectives We aimed to examine prospective associations of a dietary index (DI) based on the HSR, as an indicator of overall diet quality, with all-cause and cardiovascular disease (CVD) mortality. Methods We utilized data from the national population-based Australian Diabetes, Obesity and Lifestyle Study. The HSR-DI at baseline (1999–2000) was constructed by 1) calculation of the HSR points for individual foods in the baseline FFQ, and 2) calculation of the HSR-DI for each participant based on pooled HSR points across foods, weighted by the proportion of energy contributed by each food. Vital status was ascertained by linkage to the Australian National Death Index. Associations of HSR-DI with mortality risk were assessed by Cox proportional hazards regression. Results Among 10,025 eligible participants [baseline age: 51.6 ± 14.3 y (mean ± standard deviation)] at entry, higher HSR-DI (healthier) was associated with higher consumption of healthy foods such as fruits, vegetables, and nuts, and lower consumption of discretionary foods such as processed meats and confectionery (P-trend < 0.001 for each). During a median follow-up of 16.9 y, 1682 deaths occurred with 507 CVD deaths. In multivariable models adjusted for demographic characteristics, lifestyle factors, and medical conditions, higher HSR-DI was associated with lower risk of all-cause mortality, with a hazard ratio (95% confidence interval) of 0.80 (0.69, 0.94; P-trend < 0.001) comparing the fifth with the first HSR-DI quintile. A corresponding inverse association was observed for CVD mortality (0.71; 0.54, 0.94; P-trend = 0.008). Conclusions Better diet quality as defined by the HSR-DI was associated with lower risk of all-cause and CVD mortality among Australian adults. Our findings support the use of the HSR nutrient profiling algorithm as a valid tool for guiding consumer food choices.

Funder

China Postdoctoral Council International Postdoctoral Exchange Fellowship

National Key Research and Development Program of China

University of New South Wales

Publisher

Oxford University Press (OUP)

Subject

Nutrition and Dietetics,Food Science,Medicine (miscellaneous)

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