OBJECTIVE: To describe the nutritional quality of community-level diets in remote northern Australian communities. DESIGN, SETTING AND PARTICIPANTS: A multisite 12-04 assessment (July 2010 to June 2011) of community-level diet in three remote Aboriginal communities in the Northern Territory, linking data from food outlets and food services to the Australian Food and Nutrient Database. MAIN OUTCOME MEASURES: Contribution of food groups to total food expenditure; macronutrient contribution to energy and nutrient density relative to requirements; and food sources of key nutrients. RESULTS: One-quarter (24.8%; SD, 1.4%) of total food expenditure was on non-alcoholic beverages; 15.6% (SD, 1.2%) was on sugar-sweetened drinks. 2.2% (SD, 0.2%) was spent on fruit and 5.4% (SD, 0.4%) on vegetables. Sugars contributed 25.7%-34.3% of dietary energy, 71% of which was table sugar and sugar-sweetened beverages. Dietary protein contributed 12.5%-14.1% of energy, lower than the recommended 15%-25% optimum. Furthermore, white bread was a major source of energy and most nutrients in all three communities. CONCLUSION: Very poor dietary quality continues to be a characteristic of remote Aboriginal community nutrition profiles since the earliest studies almost three decades ago. Significant proportions of key nutrients are provided from poor-quality nutrient-fortified processed foods. Further evidence regarding the impact of the cost of food on food purchasing in this context is urgently needed and should include cost-benefit analysis of improved dietary intake on health outcomes.
OBJECTIVE: To describe the nutritional quality of community-level diets in remote northern Australian communities. DESIGN, SETTING AND PARTICIPANTS: A multisite 12-04 assessment (July 2010 to June 2011) of community-level diet in three remote Aboriginal communities in the Northern Territory, linking data from food outlets and food services to the Australian Food and Nutrient Database. MAIN OUTCOME MEASURES: Contribution of food groups to total food expenditure; macronutrient contribution to energy and nutrient density relative to requirements; and food sources of key nutrients. RESULTS: One-quarter (24.8%; SD, 1.4%) of total food expenditure was on non-alcoholic beverages; 15.6% (SD, 1.2%) was on sugar-sweetened drinks. 2.2% (SD, 0.2%) was spent on fruit and 5.4% (SD, 0.4%) on vegetables. Sugars contributed 25.7%-34.3% of dietary energy, 71% of which was table sugar and sugar-sweetened beverages. Dietary protein contributed 12.5%-14.1% of energy, lower than the recommended 15%-25% optimum. Furthermore, white bread was a major source of energy and most nutrients in all three communities. CONCLUSION: Very poor dietary quality continues to be a characteristic of remote Aboriginal community nutrition profiles since the earliest studies almost three decades ago. Significant proportions of key nutrients are provided from poor-quality nutrient-fortified processed foods. Further evidence regarding the impact of the cost of food on food purchasing in this context is urgently needed and should include cost-benefit analysis of improved dietary intake on health outcomes.
Authors: Kathleen M Wright; Joanne Dono; Aimee L Brownbill; Odette Pearson Nee Gibson; Jacqueline Bowden; Thomas P Wycherley; Wendy Keech; Kerin O'Dea; David Roder; Jodie C Avery; Caroline L Miller Journal: BMJ Open Date: 2019-02-27 Impact factor: 2.692
Authors: Hannah Beks; Marley J Binder; Constance Kourbelis; Geraldine Ewing; James Charles; Yin Paradies; Robyn A Clark; Vincent L Versace Journal: BMC Public Health Date: 2019-08-14 Impact factor: 3.295
Authors: Julie Brimblecombe; Megan Ferguson; Selma C Liberato; Kylie Ball; Marjory L Moodie; Anne Magnus; Edward Miles; Amanda J Leach; Mark D Chatfield; Cliona Ni Mhurchu; Kerin O'Dea; Ross S Bailie Journal: BMC Public Health Date: 2013-08-12 Impact factor: 3.295
Authors: Clare Brown; Cara Laws; Dympna Leonard; Sandy Campbell; Lea Merone; Melinda Hammond; Kani Thompson; Karla Canuto; Julie Brimblecombe Journal: Int J Environ Res Public Health Date: 2019-01-03 Impact factor: 3.390