A comparison of the healthiness of packaged foods and beverages from 12 countries using the Health Star Rating nutrient profiling system, 2013-2018.
Elizabeth K DunfordCliona Ni MhurchuLiping HuangStefanie VandevijvereBoyd A SwinburnIgor PravstLizbeth Tolentino-MayoMarcela Reyes JedlickiMary L'AbbéBruce C NealPublished in: Obesity reviews : an official journal of the International Association for the Study of Obesity (2019)
We compared the healthiness of packaged foods and beverages between selected countries using the Health Star Rating (HSR) nutrient profiling system. Packaged food and beverage data collected 2013-2018 were obtained for Australia, Canada, Chile, China, India, Hong Kong, Mexico, New Zealand, Slovenia, South Africa, the UK, and USA. Each product was assigned to a food or beverage category and mean HSR was calculated overall by category and by country. Median energy density (kJ/100 g), saturated fat (g/100 g), total sugars (g/100 g) and sodium (mg/100 g) contents were calculated. Countries were ranked by mean HSR and median nutrient levels. Mean HSR for all products (n = 394,815) was 2.73 (SD 1.38) out of 5.0 (healthiest profile). The UK, USA, Australia and Canada ranked highest for overall nutrient profile (HSR 2.74-2.83) and India, Hong Kong, China and Chile ranked lowest (HSR 2.27-2.44). Countries with higher overall HSR generally ranked better with respect to nutrient levels. India ranked consistently in the least healthy third for all measures. There is considerable variability in the healthiness of packaged foods and beverages in different countries. The finding that packaged foods and beverages are less healthy in middle-income countries such as China and India suggests that nutrient profiling is an important tool to enable policymakers and industry actors to reformulate products available in the marketplace to reduce the risk of obesity and NCDs among populations.
Keyphrases
- south africa
- healthcare
- mental health
- public health
- single cell
- type diabetes
- metabolic syndrome
- adipose tissue
- insulin resistance
- physical activity
- weight loss
- human health
- body mass index
- health information
- machine learning
- hepatitis c virus
- artificial intelligence
- human immunodeficiency virus
- fatty acid
- big data
- social media
- antiretroviral therapy
- high fat diet induced