Literature DB >> 28069086

Fluctuations in money availability within an income cycle impacts diet quality of remote Indigenous Australians.

Thomas P Wycherley1, Brita Ak Pekarsky2, Megan M Ferguson3, Kerin O'Dea1, Julie K Brimblecombe3.   

Abstract

OBJECTIVE: To consider the plausible nutritional impacts of fluctuations in money availability within an income cycle for remote Indigenous Australians.
DESIGN: Community-level dietary intake (energy, micro/macronutrients) and expenditure on foods and beverages (F&B) were estimated over one year for three remote Indigenous Australian communities (Northern Territory, Australia) using monthly F&B transaction data. F&B that were likely to be consumed during a period within an income cycle when money was relatively limited (low money period (LMP) foods) were identified by panel consensus and scenario modelling was conducted to simulate the nutritional outcomes of a range of F&B selection responses to having an LMP.
RESULTS: All scenarios resulted in reduced diet quality during the LMP relative to overall average diet values. Protein and fat energy percentages were reduced and carbohydrate energy percentage increased. Despite reduced expenditure, declines in energy intake were typically buffered due to the reduced energy cost ($AU/MJ) of the LMP diet. The micronutrient profile of the LMP diet was substantially poorer, such that additional key micronutrients dropped below population-weighted Estimated Average Requirements/Adequate Intakes.
CONCLUSIONS: The modelling undertaken herein suggests that even a short period of low money within an income cycle may noticeably contribute to the reduced diet quality of remote Indigenous Australians and exacerbate lifestyle disease risk. Dietary strategies that are designed to respond to diets and expenditure during different income cycle periods, rather than the overall average diet and expenditure, should be considered for improving diet quality and reducing cardiometabolic disease risk in remote Indigenous Australians.

Entities:  

Keywords:  Aboriginal Health; CVD risk; Nutrition

Mesh:

Substances:

Year:  2017        PMID: 28069086     DOI: 10.1017/S1368980016003360

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  5 in total

Review 1.  Sugar-sweetened beverage (SSB) consumption, correlates and interventions among Australian Aboriginal and Torres Strait Islander communities: a scoping review.

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

Review 2.  The Retail Food Sector and Indigenous Peoples in High-Income Countries: A Systematic Scoping Review.

Authors:  Tiff-Annie Kenny; Matthew Little; Tad Lemieux; P Joshua Griffin; Sonia D Wesche; Yoshitaka Ota; Malek Batal; Hing Man Chan; Melanie Lemire
Journal:  Int J Environ Res Public Health       Date:  2020-11-27       Impact factor: 3.390

3.  Daily Food Insecurity Predicts Lower Positive and Higher Negative Affect: An Ecological Momentary Assessment Study.

Authors:  Muzi Na; Nan Dou; Yujie Liao; Sara Jimenez Rincon; Lori A Francis; Jennifer E Graham-Engeland; Laura E Murray-Kolb; Runze Li
Journal:  Front Nutr       Date:  2022-03-25

4.  The Relative Validity of the Menzies Remote Short-Item Dietary Assessment Tool (MRSDAT) in Aboriginal Australian Children Aged 6⁻36 Months.

Authors:  Emma Tonkin; Dani Kennedy; Rebecca Golley; Rebecca Byrne; Athira Rohit; Therese Kearns; Sarah Hanieh; Beverley-Ann Biggs; Julie Brimblecombe
Journal:  Nutrients       Date:  2018-05-10       Impact factor: 5.717

5.  Dietary intake of Aboriginal Australian children aged 6-36 months in a remote community: a cross-sectional study.

Authors:  Emma Tonkin; Dani Kennedy; Sarah Hanieh; Beverley-Ann Biggs; Therese Kearns; Veronica Gondarra; Roslyn Dhurrkay; Julie Brimblecombe
Journal:  Nutr J       Date:  2020-04-15       Impact factor: 3.271

  5 in total

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