The Australian SKA Pathfinder (ASKAP) offers powerful new capabilities for studying the polarised and magnetised Universe at radio wavelengths. In this paper, we introduce the Polarisation Sky Survey of the Universe’s Magnetism (POSSUM), a groundbreaking survey with three primary objectives: (1) to create a comprehensive Faraday rotation measure (RM) grid of up to one million compact extragalactic sources across the southern ∼ 50 per cent of the sky (20,630 deg2); (2) to map the intrinsic polarisation and RM properties of a wide range of discrete extragalactic and Galactic objects over the same area; and (3) to contribute interferometric data with excellent surface brightness sensitivity, which can be combined with single-dish data to study the diffuse Galactic interstellar medium. Observations for the full POSSUM survey commenced in May 2023 and are expected to conclude by mid-2028. POSSUM will achieve an RM grid density of around 30–50 RMs per square degree with a median measurement uncertainty of ∼1 rad m−2. The survey operates primarily over a frequency range of 800–1088 MHz, with an angular resolution of 20″ and a typical RMS sensitivity in Stokes Q or U of 18 μJy beam−1. Additionally, the survey will be supplemented by similar observations covering 1296–1440 MHz over 38 per cent of the sky. POSSUM will enable the discovery and detailed investigation of magnetized phenomena in a wide range of cosmic environments, including the intergalactic medium and cosmic web, galaxy clusters and groups, active galactic nuclei and radio galaxies, the Magellanic System and other nearby galaxies, galaxy halos and the circumgalactic medium, and the magnetic structure of the Milky Way across a very wide range of scales, as well as the interplay between these components. This paper reviews the current science case developed by the POSSUM Collaboration and provides an overview of POSSUM’s observations, data processing, outputs, and its complementarity with other radio and multi-wavelength surveys, including future work with the SKA.

We undertake a comprehensive investigation into the distribution of in situ stars within Milky Way-like galaxies, leveraging TNG50 simulations and comparing their predictions with data from the H3 survey. Our analysis reveals that 28% of galaxies demonstrate reasonable agreement with H3, while only 12% exhibit excellent alignment in their profiles, regardless of the specific spatial cut employed to define in situ stars. To uncover the underlying factors contributing to deviations between TNG50 and H3 distributions, we scrutinize correlation coefficients among internal drivers(e.g., virial radius, star formation rate [SFR]) and merger-related parameters (such as the effective mass-ratio, mean distance, average redshift, total number of mergers, average spin-ratio and maximum spin alignment between merging galaxies). Notably, we identify significant correlations between deviations from observational data and key parameters such as the median slope of virial radius, mean SFR values, and the rate of SFR change across different redshift scans. Furthermore, positive correlations emerge between deviations from observational data and parameters related to galaxy mergers. We validate these correlations using the Random Forest Regression method. Our findings underscore the invaluable insights provided by the H3 survey in unravelling the cosmic history of galaxies akin to the Milky Way, thereby advancing our understanding of galactic evolution and shedding light on the formation and evolution of Milky Way-like galaxies in cosmological simulations.

Women and children are priority populations in Cambodia, however no dietary intake information exists on breastfeeding women for informing nutritional intervention. The aim was to assess nutritional adequacy of dietary intakes of Cambodian women, by breastfeeding status and locality. A cross-sectional assessment of dietary intake was conducted with non-pregnant women ≥18 years of age with at least one child under 5 years in rural, semi-rural and urban locations in Siem Reap province, Cambodia. Women used a bespoke smartphone application to capture three-day image-voice records on two occasions. Data were analysed using a semi-automated web platform incorporating a tailored Cambodian food composition database. Estimated Average Requirements were used to assess adequacy of nutrient intakes. Of 119 women included in the analysis, 58% were breastfeeding, and 63% were rural or semi-rural. Protein, carbohydrate, vitamin B12, iron, and sodium were adequate for over 65% of women. Less than 10% of women had adequate vitamin A, vitamin C, thiamine, calcium, and zinc intakes, in contrast to low deficiency rates reported for Cambodian women. Despite breastfeeding women recording higher dietary intakes, adequate intakes of protein, carbohydrate, vitamin A, thiamine, and zinc were lower than non-breastfeeding women due to higher requirements. Rural women generally had higher nutrient intakes, and urban women had inadequate folate intake. This study indicates dietary intakes of Cambodian women in Siem Reap province, particularly breastfeeding women, are not nutritionally adequate. Data collected using image-voice dietary assessment could inform nutrition interventions and policies in Cambodia to improve dietary intakes and nutrition-related health outcomes.

We examine the optical counterparts of the 1829 neutral hydrogen (H I) detections in three pilot fields in the Widefield ASKAP L-band Legacy All-sky Blind surveY (WALLABY) using data from the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys DR10. We find that 17 per cent (315) of the detections are optically low surface brightness galaxies (LSBGs; mean g-band surface brightness within 1 Re of > 23 mag arcsec−2) and 3 per cent (55) are optically ‘dark’. We find that the gas-rich WALLABY LSBGs have low star formation efficiencies, and have stellar masses spanning five orders of magnitude, which highlights the diversity of properties across our sample. 75 per cent of the LSBGs and all of the dark H I sources had not been catalogued prior to WALLABY. We examine the optically dark sample of the WALLABY pilot survey to verify the fidelity of the catalogue and investigate the implications for the full survey for identifying dark H I sources. We assess the H I detections without optical counterparts and identify 38 which pass further reliability tests. Of these, we find that 13 show signatures of tidal interactions. The remaining 25 detections have no obvious tidal origin, so are candidates for isolated galaxies with high H I masses, but low stellar masses and star-formation rates. Deeper H I and optical follow-up observations are required to verify the true nature of these dark sources.

We present the Evolutionary Map of the Universe (EMU) survey conducted with the Australian Square Kilometre Array Pathfinder (ASKAP). EMU aims to deliver the touchstone radio atlas of the southern hemisphere. We introduce EMU and review its science drivers and key science goals, updated and tailored to the current ASKAP five-year survey plan. The development of the survey strategy and planned sky coverage is presented, along with the operational aspects of the survey and associated data analysis, together with a selection of diagnostics demonstrating the imaging quality and data characteristics. We give a general description of the value-added data pipeline and data products before concluding with a discussion of links to other surveys and projects and an outline of EMU’s legacy value.

This study aimed to assess the impact of hypertensive disorders of pregnancy on infant neurodevelopment by comparing 6-month and 2-year psychomotor development outcomes of infants exposed to gestational hypertension (GH) or preeclampsia (PE) versus normotensive pregnancy (NTP). Participating infants were children of women enrolled in the Postpartum Physiology, Psychology and Paediatric (P4) cohort study who had NTPs, GH or PE. 6-month and 2-year Ages and Stages Questionnaires (ASQ-3) scores were categorised as passes or fails according to domain-specific values. For the 2-year Bayley Scales of Infant and Toddler Development (BSID-III) assessment, scores > 2 standard deviations below the mean in a domain were defined as developmental delay. Infants (n = 369, male = 190) exposed to PE (n = 75) versus GH (n = 20) and NTP (n = 274) were more likely to be born small for gestational age and premature. After adjustment, at 2 years, prematurity status was significantly associated with failing any domain of the ASQ-3 (p = 0.015), and maternal tertiary education with increased cognitive scores on the BSID-III (p = 0.013). However, PE and GH exposure were not associated with clinically significant risks of delayed infant neurodevelopment in this study. Larger, multicentre studies are required to further clarify early childhood neurodevelopmental outcomes following hypertensive pregnancies.

Dietary nitrate is a precursor to nitric oxide, for which plausible mechanisms exist for both beneficial and detrimental influences in multiple sclerosis (MS)(1,2). Whether dietary nitrate has any role in MS onset is unclear. We aimed to test associations between nitrate intake from food sources (plant, vegetable, animal, processed meat, and unprocessed meat) and likelihood of a first clinical diagnosis of central nervous system demyelination (FCD). We used data from the Ausimmune Study (264 cases, 474 controls). Case participants (aged 19–59 years) presenting to medical professionals in four latitudinally different regions of Australia were referred to the study with an FCD. The Australian Electoral Roll was used to recruit one to four controls per case, matched by age (± 2 years), sex and study region. Habitual dietary intake representing the 12-month period preceding the study interview was assessed to determine dietary nitrate intake. In addition to matching variables, data on education, smoking history, and history of infectious mononucleosis, weight and height were collected. A blood sample was taken for measurement of serum 25-hydroxyvitamin D concentration, which was de-seasonalised. To test associations, we used logistic regression with full propensity score matching. We used two levels of covariate matching: in model 1, cases and controls were matched on the original matching variables (age, sex, and study region); in model 2, cases and controls were additionally matched on well-established/potential risk factors for MS (education, smoking history, and history of infectious mononucleosis) and dietary factors (total energy intake and dietary misreporting). In females only (n = 573; 368 controls and 205 cases), higher nitrate intake (per 60 mg/day) from plant-based foods (fully adjusted odds ratio [aOR] = 0.50, 95% CI, 0.31, 0.81, p < 0.01) or vegetables (aOR = 0.44, 95% CI, 0.27, 0.73, p < 0.01) was statistically significantly associated with lower likelihood of FCD. No association was found between nitrate intake (any sources) and likelihood of FCD in males. To our knowledge, this is the first study to investigate dietary nitrate intake in relation to FCD. Our result that higher intake of nitrate from plant-based foods (mainly vegetables) was associated with lower likelihood of FCD in females supports our previous findings showing that following a Mediterranean diet (rich in vegetables) associates with lower likelihood of FCD(3). The lack of association in males may be due to low statistical power and/or differing food preferences and pathological processes among males and females. Our results support further research to delineate the independent effect of nitrates form other dietary factors and explore a possible beneficial role for plant-derived nitrate in people at high risk of MS.

Claims relating to foods’ nutrition content and potential health benefits have been shown to influence consumer preferences and purchases regardless of the nutritional quality of the product(1). In Australia, permitted claims include nutrition content claims, which refer to the presence or absence of a nutrient, and health claims, which refer to health benefits of foods or nutrients in a product. Health claims include general level health claims, which refer to normal processes and functions, and high level health claims, which refer to a disease or biomarker of a disease. Products that display a health claim must meet the Nutrient Profiling Scoring Criterion (NPSC), however this is not required for products to make a nutrition content claim. The aim of this study was to examine the use of nutrition content and health claims made on Australian ready meal products and assess the proportion of products displaying claims that meet the NPSC. Analysis of the ready meal category in the 2023 FoodSwitch database, a repository of Australian food packaging images and label data for over 28,000 foods developed by The George Institute for Global Health, was conducted(2,3). Foods in the ready meal category were identified and data from the nutrition information panel was collated to calculate whether they met the NPSC. Nutrition content and health claims were extracted from product images and categorised according to claim type (nutrition or health claim) and claimed nutrient or attribute. The proportion of products meeting the NPSC was then calculated overall and by claim type (nutrition content vs health claims). Data were available for 777 ready meal products. Of these, 682 (87.8%) met the NPSC. In total, 2051 nutrition content or health claims were identified across the ready meal products, with 1909 (93.1%) of these categorised as nutrition content claims. The remaining 142 claims identified were general level health claims, with no high level health claims identified. Almost all (n = 1857, 97.3%) nutrition content claims and all general level health claims were made on products which met the NPSC. The most common claims related to protein, energy and fibre content. The use of claims was prevalent across the ready meal food category in Australia, with claims relating to nutrient content being most common. While most claims were made on products that met the NPSC, there is a need for further research to ensure the NPSC appropriately distinguishes between healthy and less healthy food products. This will ensure consumers are equipped to make informed decisions when purchasing food products.

Low vegetable intake is a key contributor to the health burden experienced by young adults in rural communities(1). Digital interventions provide an accessible delivery model that can be personalised to meet the diverse preferences of young adults(2). This study aimed to determine the feasibility, acceptability and efficacy of a personalised digital intervention to increase vegetable intake (Veg4Me), co-designed to meet the needs of young adults living in rural Australian communities(3). A 12-week assessor-blinded, two-arm, parallel randomised controlled trial was undertaken from August 2023 until April 2024. Young adults (18–35 years; consuming < 5 serves of vegetables/day; with an internet-connected device) living in Loddon Campaspe or Colac Otway Shire in Victoria, Australia, were recruited via social media and local government networks. Participants were randomised to receive 12 weeks of personalised (intervention) or non-personalised (control) support via a free web application (app; Veg4Me). Key features included 1) recipes personalised to users’ dietary and cooking preferences, 2) geo-located food environment map, 3) healthy eating resources, 4) goal-setting portal and 5) personalised e-newsletters. The primary outcome was feasibility: recruitment, participation and retention rate. Secondary outcomes were usability and user experience, perceived changed in vegetable intake, self-reported vegetable intake, and confidence to cook fresh green and root vegetables. Regression analyses (adjusted for baseline) were used to test for significant differences between groups. A total of n = 536 individuals registered on the Veg4Me website. After excluding fraudulent and duplicate responses (n = 289), n = 124 were eligible and provided consent to participate, n = 116 were randomised and n = 83 completed postintervention data collection. The recruitment rate was 47%, participation rate was 93% and retention rate was 72%. Compared to the control, more intervention participants were satisfied with Veg4Me (76% vs 52%). Most intervention participants reported that access to personalised recipes gave them confidence to eat a wider variety of vegetables (83%), while 76% accessed the food environment map, 63% accessed the healthy eating resources, 78% accessed the goal-setting function and 90% reported that the e-newsletters prompted them to access Veg4Me. Compared to the control, more intervention participants perceived that their vegetable intake had changed in the last 12 weeks (85% vs 57%; p = 0.013). Mean vegetable intake at 12 weeks in intervention and control participants was 2.7 (SD 1.0) and 2.7 (SD 1.4) serves/day, respectively (p = 0.67). Confidence to cook fresh green vegetables at 12 weeks in intervention and control participants was 93% and 91%, respectively (p = 0.24), while for root vegetables this was 88% and 81%, respectively (p = 0.11). Findings demonstrate the feasibility and acceptability of the Veg4Me intervention, and some evidence of efficacy. This study introduces a new strategy that has promise for addressing diet and health inequities experienced by young adults living in rural communities.

Indirect calorimetry (IC) is regarded as the benchmark for measuring resting energy expenditure (REE)(1) but validity and reliability in adults with overweight or obesity have not been systematically appraised(2). The aim of our research was to evaluate the diagnostic accuracy of IC for REE in adults with overweight or obesity. A rapid systematic review was conducted. PubMed and Web of Science were searched to December 2023. Eligible studies measured REE by IC in adults with overweight or obesity (BMI ≥ 25 kg/m2 or mean BMI > 30 kg/m2) reporting validity and/or reliability. Studies were selected using Covidence and critically appraised using the CASP diagnostic study checklist. From n = 4022 records, n = 21 studies utilising n = 13 different IC devices were included (n = 10 reported concurrent validity, n = 7 reported predictive validity, n = 7 reported reliability). A hand-held IC had poor validity and inconsistent reliability (n = 6 studies). Standard desktop-based ICs (n = 9 devices) were examined by across n = 18 studies; most demonstrated high validity, predictive ability, and good to excellent reliability. An IC accelerometer showed weak validity (n = 1 study); a body composition-based IC showed strong validity (n = 1 study); and a whole-room IC demonstrated excellent reliability (n = 1 study). Standard desktop-based IC demonstrated the most consistent validity, predictive ability, and reliability for REE in adults with overweight or obesity. Hand-held IC may have limited validity and reliability. Accelerometer, body composition-based, and whole-room IC devices require further evaluation. Inconsistent findings are attributed to differing methodologies and reference standards. Further research is needed to examine the diagnostic accuracy of IC in adults with overweight and obesity.

Approximately half of Australian universities offer a degree in nutrition, nutrition science, human nutrition or nutrition combined with another discipline. In the absence of any formal accreditation requirements, the design of nutrition undergraduate courses is guided by national nutrition science competencies(1). Degrees might also include specialisations such as in public health, food industry or animal nutrition, and a range of special interest topics included to enhance the graduate skillset for the workforce. This diversity in degrees develops graduates with broad and transferrable skills, thought to be desirable to industry employers. In an earlier study by the authors(2), it was identified that graduates placed high value on nutrition science theory and practical content, but there was an expressed desire for more work-integrated-learning opportunities and professional skill development for work in private practice. To triangulate the perspectives of students and graduates, there is a need for universities to understand how nutrition graduates are received by employers. This paper will present preliminary findings from the Working in Nutrition Employer (WIN-E) study. The aims of this study were to build on findings from the WIN-G study(2) and explore the perceptions of nutrition graduate employers in Australia regarding aspects of the graduate skillset that were highly valued, and identify training gaps. After being tested for face validity, the purpose-built WIN-E survey was delivered online via Qualtrics between June–December 2022. The survey included a mix of 32 closed- and open-ended questions about employer characteristics, additional education, employment and professional experience, and employers perceived graduate preparedness for the workforce. An interim analysis revealed that 110 participants had given informed consent; of these, 41 completed 75% of the questions, with 32 having relevance to nutrition graduate employment, and were included in the current analyses. Most respondents were female (n = 25, 78%) aged 25–34 years (n = 13, 52%). Respondents predominantly identified as working in education (n = 8), research (n = 5) or in ‘other settings’ (n = 5) such as community aged care, digital media/coaching, food preparation, agriculture or homelessness project work. To a lesser extent domains in retail/hospitality (n = 4), food industry (n = 3), public health/not for profit (n = 2), clinical (n = 2) and sport and fitness (n = 1) were represented. Fifteen (47%) employers felt nutrition graduates had all, or some of the expected skills and attributes at time of employment. More development of skills in written health translation (n = 2), data analysis (n = 1), working collaboratively in health systems (e.g., aged care) (n = 2), marketing (n = 1), and understanding transferable skillsets with the motivation for ongoing professional development were also valued (n = 2). Further data analysis will provide more context around the roles and responsibilities employers typically assign to nutrition graduates, highlighting potential training gaps and opportunities for universities to better prepare graduates for the workforce.

Malnutrition is a major contributor to poorer health outcomes and continues to be sub-optimally identified and managed(1). The collection and availability of healthcare data is growing rapidly, strategies to harness data for optimal care is evolving(2). A hospital nutrition informatics platform that presents food supply and intake data and categorises risk using energy and protein thresholds has shown potential for identifying malnutrition risk(3). This study aimed to determine the Nutrition Dashboard’s capability to predict malnutrition through analysis of multiple energy and protein thresholds. Data were extracted from medical files and food service records for 267 patients over a four-month period, in a 99-bed hospital. Energy (2500 to 8000 kJ) and protein (30 to 90 g) thresholds were applied for Nutrition Dashboard categorisation by supply and intake of food. Deficits in estimated requirements (105 kJ and 0.75 g/kg/day)(4) were also applied as a comparative screening method. The association between Nutrition Dashboard categories and Malnutrition Screening Tool (MST) score was explored using generalised estimating equations. A total of 267 patients and 1908 days of data were analysed. Patients at risk of malnutrition (MST ≥ 2) was 39.2%, of those patients at increased risk, 57% received a dietitian referral. The use of weight based estimated requirements for Nutrition Dashboard categorisation was not statistically significant predictor of MST ≥ 2. Application of energy (≤ 6000 kJ) and protein (≤ 65 g) thresholds for categorisation was significant (X2 = 9.50, df = 3, p = 0.023). When 5000 kJ and 55 g of protein were used for categorisation, patients were more likely to be at nutritional risk (MST ≥ 2) if they were within low supply (OR 2.11, p = 0.002) and low intake (OR 2.23, p < 0.001) categories. When age, length of stay and weight were added to the modelling as covariates, the upper intake and protein thresholds of 5500 kJ and 60 g protein for Nutrition Dashboard categories one (low supply; OR 1.64, p = 0.046) and two (low intake; OR 1.64, p = 0.041) remained statistically significant predictors of at-risk nutrition status as measured by MST ≥ 2. Age and LOS were not significant predictors of MST ≥ 2, a static weight measure was found to be a predictor of at-risk nutrition screening (OR 0.97, CI = 0.95–0.97, p < 0.001). Nutrition Dashboard supply and intake categories were associated with an increased risk of malnutrition when categorised using thresholds up to 6000 kJ and 65 g protein. The Nutrition Dashboard presents nutrition risk surveillance information directly to dietitians with high reliability in an easily accessed, interactive format. Technologies such as the Nutrition Dashboard present innovative opportunities for dietitians to utilise nutrition informatics to enhance and optimise nutrition care.