Objectives: Explore the level of general nutrition knowledge and demographic influences of knowledge levels in a community sample.Design and setting: A sample of volunteers, recruited from community centres in two suburbs of differing socio-economic status, in Adelaide, South Australia.Subjects: Two hundred and one people, aged 18 years and older, completed a modified and validated version of the General Nutrition Knowledge Questionnaire (113 items). The questionnaire was self-administered and completed under supervision.Results: Basic messages about eating more fruit, vegetables and fibre, and less fatty and salty foods were best understood. Confusion was evident with more detailed nutrition information. For example, 90 % of the people were aware of the recommendations to eat more fruit and vegetables, but 56 % and 62 % knew the recommended number of servings of fruit and vegetables, respectively. Descriptive statistics showed significant demographic variation in nutrition knowledge levels; multiple regression analysis confirmed the significant independent effects of gender, age, highest level of education and employment status on nutrition knowledge level (P< 0·01 level). The model accounted for 40 % of the variance in nutrition knowledge scores.Conclusions: There is demographic variation in nutrition knowledge levels and a broad lack of awareness of some public health nutrition recommendations. Having a detailed understanding of the deficiencies in community knowledge should allow for future nutrition education programmes to target subgroups of the population or particular areas of nutrition education, to more efficiently improve knowledge and influence dietary behaviour.

The food system is a major source of environmental impact, and dietary change has been recommended as an important and necessary strategy to reduce t

Diet quality indices reflect overall dietary patterns better than single nutrients or food groups. The study aims were to develop a measure of adhere

Population dietary guidelines have started to include information about the environmental impacts of food choices, but more quantifiable evidence is needed, particularly about the impacts associated with discretionary foods. This paper utilised the 2011–2012 Australian Health Survey food intake data along with a highly disaggregated input–output model to estimate the greenhouse gas emissions (GHGe) of Australians’ dietary intake, and compare current patterns of eating which vary in diet quality and GHGe to the recommended diet. The average dietary GHGe were 18.72 ± 12.06 and 13.73 ± 8.72 kg CO₂e/day for male and female adults, respectively. The correlation between total energy and GHGe was r = 0.54 (p < 0.001). Core foods contributed 68.4% and discretionary foods 29.4%. Within core foods, fresh meat and alternatives (33.9%) was the greatest contributor. The modelling of current dietary patterns showed the contribution of discretionary foods to GHGe was 121% greater in the average diet and 307% greater in the “lower quality, higher GHGe” diet compared to the recommended diet. Reducing discretionary food intake would allow for small increases in emissions from core foods (in particular vegetables, dairy and grains), thereby providing a nutritional benefit at little environmental expense. Public health messages that promote healthy eating, eating to one’s energy needs and improved diet quality will also contribute to lowering GHGe.