Dietary vitamin D may compensate for inadequate sun exposure; however, there have been few investigations into the vitamin D content of Australian foods. We measured vitamin D₃ and 25-hydroxyvitamin D₃ (25(OH)D₃) in four species of white fish (barramundi, basa, hoki and king dory), and chicken eggs (cage and free-range), purchased from five Australian cities. Samples included local, imported and wild-caught fish, and eggs of varying size from producers with a range of hen stocking densities. Raw and cooked samples were analysed using high performance liquid chromatography with photodiode array. Limits of reporting were 0.2 and 0.1 μg/100 g for vitamin D₃ and 25(OH)D₃, respectively. The vitamin D₃ content of cooked white fish ranged from <0.1 to 2.3 μg/100 g, and the 25(OH)D₃ content ranged from 0.3 to 0.7 μg/100 g. The vitamin D₃ content of cooked cage eggs ranged from 0.4 to 0.8 μg/100 g, and the 25(OH)D₃ content ranged from 0.4 to 1.2 μg/100 g. The vitamin D₃ content of cooked free-range eggs ranged from 0.3 to 2.2 μg/100 g, and the 25(OH)D₃ content ranged from 0.5 to 0.8 μg/100 g. If, as has been suggested, 25(OH)D₃ has five times greater bioactivity than vitamin D₃, one cooked serve (100 g) of white fish, and one cooked serve of cage or free-range eggs (120 g) may provide 50% or 100%, respectively, of the current guidelines for the adequate intake of vitamin D (5 µg) for Australians aged 1–50 years. Full article

The purpose of the study was to examine temporal changes in meat/poultry/fish consumption patterns between 1995 and 2011–2012 in the Australian population. Meat/poultry/fish consumption from all food sources, including recipes, was analysed by gender, age group, and socio-economic status using 24-h recall data from the 1995 National Nutrition Survey (n = 13,858) and the 2011–2012 National Nutrition and Physical Activity Survey (n = 12,153). The overall proportion of people consuming meat/poultry/fish remained stable (91.7% versus 91.3%, p = 0.55), but a shift in the type of meat consumed was observed. Red meat, including beef and lamb, was consumed by fewer people over the time period (from 56% to 49%), whereas poultry consumption increased (from 29% to 38%). Amounts of all meat/poultry/fish consumed were reportedly higher in 2011–2012 compared with 1995. This resulted in similar (red meat, and processed meat) or slightly higher (poultry, and fish) per-capita intakes in 2011–2012. The magnitude of change of consumption varied between children and adults, and by gender. Monitoring trends in consumption is particularly relevant to policy makers, researchers and other health professionals for the formulation of dietary recommendations and estimation of potential health outcomes. Full article

Some nutrient data for beef sausages in Australia’s food composition table, NUTTAB 2010, is over 25 years old and may no longer reflect the composition of this popular food. To update this, 41 retail samples of fresh beef sausages were purchased in Melbourne, Australia, in May 2015. Each purchase was analysed, uncooked, for moisture, protein and fat. Sausages were then grouped by fat content into one of three composites and analysed for a wide range of nutrients, before and after dry heat cooking, the most popular sausage cooking method. Fat content in raw sausages averaged 14.9 g/100 g, 30% lower than NUTTAB values, varying from 7.3 to 22.6 g/100 g. This indicates it is possible to formulate leaner sausages that meet consumer expectations and may qualify for certain nutrition labelling statements. Under current Australian labelling requirements, two low fat sausages contain sufficient protein, B12, niacin, phosphorus and zinc to qualify as a good source of these nutrients and sufficient iron, selenium and vitamin A to qualify as a source of these. Sodium levels are higher than fresh beef, ranging from 680 to 840 mg/100 g. These data will be used to update NUTTAB and support product labelling and consumer education. Full article

Nutrient composition data, representative of the retail supply, is required to support labelling and dietetic practice. Because beef mince represents approximately 30% of all beef dishes prepared in Australian households, a national survey of the different types of mince available for purchase in representative retail outlets was conducted. Sixty-one samples of beef mince from 24 retail outlets in New South Wales, Queensland, Victoria and Western Australia were collected in 2010 and analysed for moisture, protein, total fat and fatty acid profile. A variety of 18 different descriptors were used at point of sale with “Premium” (n = 15) and “Regular” (n = 8) the most commonly used terms. The analysed fat content of “Premium” samples varied from 2.2 g/100 g to 8.0 g/100 g. Forty-eight percent (n = 29) of the samples were categorised as low fat (<5 g/100 g; mean 4.1 g/100 g), 21% as medium fat (5–10 g/100 g; mean 8.9 g/100 g) and 31% as high fat (>10 g/100 g; mean 10.4 g/100 g). There was no significant difference between the types of mince available for purchase in low versus high socio-economic suburbs (Chi-square, p > 0.05). In conclusion, the fat content of the majority of retail beef mince in Australia is <10 g/100 g and a variety of descriptors are used at point of sale, all of which do not necessarily reflect analysed fat content. Full article

The approach used by food regulation agencies to examine the literature and forecast the impact of possible food regulations has many similar features to the approach used in nutritional epidemiological research. We outline the Risk Analysis Framework described by FAO/WHO, in which there is formal progression from identification of the nutrient or food chemical of interest, through to describing its effect on health and then assessing whether there is a risk to the population based on dietary exposure estimates. We then discuss some important considerations for the dietary modeling component of the Framework, including several methodological issues that also exist in research nutritional epidemiology. Finally, we give several case studies that illustrate how the different methodological components are used together to inform decisions about how to manage the regulatory problem. Full article