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Tobacco use among Aboriginal and Torres Strait Islander peoples has declined over the past two decades, from 50% of adults smoking daily in 2004–05 to 40% in 2018–19.[sup.1,2] This included [...]

Whole-grain intake is associated with reduced risk of non-communicable diseases. Greater understanding of major food sources of whole grains globally, and how intake has been quantified, is essential to informing accurate strategies aiming to increase consumption and reduce non-communicable disease risk. Therefore, the aim of this review was to identify the primary food sources of whole-grain intake globally and explore how they are quantified and reported within literature, and their recommendation within respective national dietary guidelines. A structured scoping review of published articles and grey literature used a predefined search strategy across electronic databases. Data were extracted and summarised based on identified outcomes (e.g. primary sources of whole-grain intake and quantification methods). Dietary intake values were noted where available. Thirteen records across twenty-four countries identified bread and bread rolls, and ready-to-eat cereals as primary sources of whole-grain intake in Australia, New Zealand, Europe, the UK and Northern America. Elsewhere, sources vary and for large parts of the world (e.g. Africa and Asia), intake data are limited or non-existent. Quantification of whole grain also varied across countries, with some applying different whole-grain food definitions, resulting in a whole-grain intake based on only consumption of select 'whole-grain' foods. National dietary guidelines were consistent in promoting whole-grain intake and providing examples of country-specific whole-grain foods. Consistency in whole-grain calculation methods is needed to support accurate and comparative research informing current intake evidence and promotional efforts. National dietary guidelines are consistent in promoting whole-grain intake; however, there is variability in recommendations. [ABSTRACT FROM AUTHOR]

Objective: The Australian Government Tackling Indigenous Smoking (TIS) program aims to reduce tobacco use among Aboriginal and Torres Strait Islander peoples, delivering locally tailored health promotion messages, including promoting the Quitline. We aimed to analyse data on use of the Quitline by Aboriginal and Torres Strait Islander peoples nationally, specifically in TIS and non-TIS areas. Methods: We analysed usage of the Quitline in seven jurisdictions across Australia in areas with and without TIS teams (TIS areas and non-TIS areas respectively) between 2016–2020. Demographic and usage characteristics were quantified. Clients and referrals as a proportion of the current smoking population were calculated for each year, 2016–2020. Results: From 2016–2020, 12 274 Aboriginal and Torres Strait Islander people were clients of the Quitline in included jurisdictions. Most (69%) clients were living in a TIS area. Two-thirds (66.4%) of referrals were from thirdparty referrers rather than self-referrals. Overall, between 1.25% and 1.62% of Aboriginal and Torres Strait Islander peoples who currently smoked were clients of Quitline (between 1.15–1.57% in TIS areas and 0.82–0.97% in nonTIS areas). Conclusions: The Quitline provided smoking cessation support to approximately 2500–3000 Aboriginal and Torres Strait Islander clients annually between 2016–2020. Referrals from third parties including Aboriginal and Torres Strait Islander services are an important pathway connecting community members to an evidenced-based cessation support service. [ABSTRACT FROM AUTHOR]

: Objective: To quantify the prevalence of known health‐related risk factors for severe COVID‐19 illness among Aboriginal and Torres Strait Islander adults, and their relationship with social determinants. Methods: Weighted cross‐sectional analysis of the 2018‐19 National Aboriginal and Torres Strait Islander Health Survey; Odds Ratios for cumulative risk count category (0, 1, or ≥2 health‐related risk factors) by social factors calculated using ordered logistic regression. Results: Of the adult population, 42.9%(95%CI:40.6,45.2) had none of the examined health‐related risk factors; 38.9%(36.6,41.1) had 1, and 18.2%(16.7,19.7) had ≥2. Adults experiencing relative advantage across social indicators had significantly lower cumulative risk counts, with 30‐70% lower odds of being in a higher risk category. Conclusions: Aboriginal and Torres Strait Islander peoples must continue to be recognised as a priority population in all stages of pandemic preparedness and response as they have disproportionate exposure to social factors associated with risk of severe COVID‐19 illness. Indigeneity itself is not a ‘risk’ factor and must be viewed in the wider context of inequities that impact health Implications for public health: Multi‐sectoral responses are required to improve health during and after the COVID‐19 pandemic that: enable self‐determination; improve incomes, safety, food security and culturally‐safe healthcare; and address discrimination and trauma., The COVID‐19 pandemic has again put a spotlight on health inequities across populations globally, including differential risk of COVID‐19 exposure and transmission, consequences of infection, access to vaccines and consequences [...]

Aim Methods Results Conclusions To modify the Australian and New Zealand Health Star Rating to account for ultra‐processing and compare the alignment of the modified ratings with NOVA classifications and the current Australian Dietary Guidelines classifications of core (recommended foods) and discretionary (foods to limit).Data was cross‐sectionally analysed for 25 486 products. Four approaches were compared to the original Health Star Rating: (1) five ‘negative’ points added to ultra‐processed products (modification 1; inclusion approach); (2) ultra‐processed products restricted to a maximum of 3.0 Health Stars (modification 2; capping approach); (3 and 4) same approach used for modifications 1 and 2 but only applied to products that already exceeded 10 ‘negative’ points from existing Health Star Rating attributes (modifications 3 and 4, respectively; hybrid approaches). Alignment occurred when products (i) received <3.5 Health Stars and were NOVA group 4 (for NOVA comparison) or discretionary (for Dietary Guidelines comparison), or (ii) received ≥3.5 Health Stars and were NOVA groups 1–3 or core.All Health Star Rating modifications resulted in greater alignment with NOVA (ranging from 69% to 88%) compared to the original Health Star Rating (66%). None of the modifications resulted in greater alignment to the Dietary Guidelines classifications overall (69% to 76%, compared with 77% for the original Health Star Rating), but alignment varied considerably by food category.If ultra‐processing were incorporated into the Australian and New Zealand Health Star Rating, consideration of ultra‐processing within the broader dietary guidance framework would be essential to ensure coherent dietary messaging to Australians. [ABSTRACT FROM AUTHOR]

Methods for calculating health indicators profoundly influence understanding of and action on population health and inequities. Age-standardization can be useful and is commonly applied to account for differences in age structures when comparing health indicators across groups. Age-standardized rates have well-acknowledged limitations, including that they are relative indices for comparison, and not accurate measures of actual rates where the age structures of groups diverge. This paper explores these limitations, and demonstrates alternative approaches through a case study quantifying mortality rates within the Aboriginal and Torres Strait Islander (Indigenous) population of Australia and inequities compared with the non-Indigenous population, over 2001-16. Applying the Australian Standard Population, the Aboriginal and Torres Strait Islander age-standardized mortality rate was more than double the crude mortality rate in 2001 and 2016, inflated through high weighting of older age groups. Despite divergent population age structures, age-standardized mortality rates remain a key policy metric for measuring progress in reducing Indigenous-non-Indigenous inequities in Australia. Focusing on outcomes age-standardized to the total population can obscure inequities, and denies Aboriginal and Torres Strait Islander peoples and communities valid, actionable information about their health and well-being. Age-specific statistics convey the true magnitude of health risks and highlight high-risk subgroups. When requiring standardization, standardizing to a population-specific standard (here, an Indigenous standard) generates metrics centred around and reflective of reality for the population of focus, supporting communities' self-determination to identify priorities and informing resource allocation and service delivery. The principles outlined here apply across populations, including Indigenous and other populations internationally. [ABSTRACT FROM AUTHOR]

Context Cereal fiber modulates the gut microbiome and benefits metabolic health. The potential link between these effects is of interest.0 Objective The aim for this systematic review was to assess evidence surrounding the influence of cereal fiber intake on microbiome composition, microbiome diversity, short-chain fatty acid production, and risk factors for metabolic syndrome. Data Sources and Extraction The MEDLINE, PubMed, CINAHL, and Cochrane Library databases were searched systematically, and quality of studies was assessed using the Cochrane Risk of Bias 2.0 tool. Evidence relating to study design, dietary data collection, and outcomes was qualitatively synthesized on the basis of fiber type. Data Analysis Forty-six primary publications and 2 secondary analyses were included. Cereal fiber modulated the microbiome in most studies; however, taxonomic changes indicated high heterogeneity. Short-chain fatty acid production, microbiome diversity, and metabolic-related outcomes varied and did not always occur in parallel with microbiome changes. Poor dietary data were a further limitation. Conclusions Cereal fiber may modulate the gut microbiome; however, evidence of the link between this and metabolic outcomes is limited. Additional research is required with a focus on robust and consistent methodology. Systematic Review Registration PROSPERO registration no. CRD42018107117 [ABSTRACT FROM AUTHOR]

Extensive evidence supports health benefits of cereal fibre, however globally no national intake data exists. This study aimed to determine estimates of intake and food sources of cereal fibre, and relationships to dietary fibre intake in an Australian sample population. A cereal fibre database was applied to dietary intake data from the 2011-12 National Nutrition and Physical Activity Survey (n = 12,153). Usual intake based on 2-day intake data was weighted to infer population results. Median daily cereal fibre intake was 6.4 g/d (9.7 g/10 MJ/d) for adults (19-85 years) and 6.2 g/d (10.2 g/10 MJ/d) for children/adolescents (2-18 years). Individuals with the highest cereal fibre intake were more likely to meet dietary fibre recommendations than those with the lowest intake (males Q4: 17.1% Q1: 3.9%; females Q4: 20.3% Q1: 6.6%). Breakfast cereals, bread and bread rolls provided the most cereal fibre. This study provides first quantification of cereal fibre from all sources in an Australian national sample. [ABSTRACT FROM AUTHOR]