https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40760 Wed 28 Feb 2024 14:59:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47159 Wed 28 Feb 2024 14:59:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41578 Wed 28 Feb 2024 14:59:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39600 Wed 28 Feb 2024 14:58:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36814 Wed 28 Feb 2024 14:58:24 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41777 Wed 28 Feb 2024 14:58:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36533 20 cm, SOC became increasingly homogenous for both datasets with little difference observed. The results suggest that the influence of the exclusion area on SOC accumulation at the site was only within the top 10-20 cm of the soil profile. The results highlight the importance of soil depth in quantifying SOC within the soil profile and SOC sequestration potential for sites at depth.]]> Wed 28 Feb 2024 14:57:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39088 Wed 28 Feb 2024 14:57:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41187 Wed 28 Feb 2024 14:57:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48651 Wed 28 Feb 2024 14:57:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38821 DNAJB11 were recently described in seven pedigrees with atypical clinical presentations of autosomal dominant polycystic kidney disease. DNAJB11 encodes one of the main cofactors of the endoplasmic reticulum chaperon BiP, a heat-shock protein required for efficient protein folding and trafficking. Here we conducted an international collaborative study to better characterize the DNAJB11-associated phenotype. Thirteen different loss-of-function variants were identified in 20 new pedigrees (54 affected individuals) by targeted next-generation sequencing, whole-exome sequencing or whole-genome sequencing. Amongst the 77 patients (27 pedigrees) now in total reported, 32 reached end stage kidney disease (range, 55-89 years, median age 75); without a significant difference between males and females. While a majority of patients presented with non-enlarged polycystic kidneys, renal cysts were inconsistently identified in patients under age 45. Vascular phenotypes, including intracranial aneurysms, dilatation of the thoracic aorta and dissection of a carotid artery were present in four pedigrees. We accessed Genomics England 100,000 genomes project data, and identified pathogenic variants of DNAJB11 in nine of 3934 probands with various kidney and urinary tract disorders. The clinical diagnosis was cystic kidney disease for eight probands and nephrocalcinosis for one proband. No additional pathogenic variants likely explaining the kidney disease were identified. Using the publicly available GnomAD database, DNAJB11 genetic prevalence was calculated at 0.85/10.000 individuals. Thus, establishing a precise diagnosis in atypical cystic or interstitial kidney disease is crucial, with important implications in terms of follow-up, genetic counseling, prognostic evaluation, therapeutic management, and for selection of living kidney donors.]]> Wed 28 Feb 2024 14:57:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54094 Wed 28 Feb 2024 14:57:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39632 Wed 28 Feb 2024 14:56:57 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40418 Wed 28 Feb 2024 14:56:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53481 Wed 28 Feb 2024 14:56:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41151 Wed 28 Feb 2024 14:56:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47214 Zea mays L.) fields and 9% of soybean (Glycine max L.) fields in 2008 to 89% of corn fields and 46% of soybean fields in 2016. Satellite remote sensing of wintertime ground cover detected increased wintertime vegetation following corn crops, in comparison to full season and double cropped soybean, consistent with patterns of cover crop implementation. Although interannual variation in climate strongly affected observed levels of vegetation, with warm winters resulting in increased vegetative cover, a 30-year analysis of wintertime greenness revealed significant increases in wintertime vegetation associated with increased adoption of WCC. The MACS WCC enrollment data were combined with output from the SWAT model, calibrated to streamflow and nutrient loading from the Upper Tuckahoe watershed, to estimate water quality impacts based on known distribution of cover crop species and planting dates (2008 to 2017). Results indicated a 25% overall 10-year reduction in nitrate (NO₃⁻) leaching from cropland attributable to cover crop adoption, rising to an estimated 38% load reduction in 2016 when 64% of fields were planted to cover crops. Results suggest that increased environmental benefits would be achieved by shifting agronomic methods away from late-planted wheat (Triticum aestivum L.), which comprised 34.7% of all WCC planted between 2008 and 2017.]]> Wed 28 Feb 2024 14:55:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47134 Wed 28 Feb 2024 14:55:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40543 Wed 28 Feb 2024 14:55:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43935 Wed 28 Feb 2024 14:55:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37722 0.7). Grid-scale ET estimates are improved after incorporating heterogeneous agricultural land use (NSC > 0.55 and R² > 0.55) throughout the period of 1998-2010. This study improves our understanding on how the change in agricultural land use in the model settings alters the basin hydrological characteristics, and to provide model-based approaches for best management practices in irrigation scheduling, crop water requirement, and management strategies in the absence of flux towers, eddy covariance, and lysimeters in the basin.]]> Wed 28 Feb 2024 14:54:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44504 n = 1460, n = 37 schools) aged 7–12 years. Nutrition knowledge and FV consumption were measured using a student questionnaire, and presence of school food policies was measured in the teachers’ questionnaire. A quasi-experimental design with three arms compared: (1) schools that implemented both programs: FV provision + education (n = 15), (2) schools that implemented the FV provision program only (n = 12), (3) schools that did not implement either program (n = 10). Outcomes were assessed pre-intervention (T0), during the intervention (T1), and 6 months post-intervention (T2). Results indicated a significant increase in nutrition knowledge for children attending schools that had participated in both programs, compared to control schools (p < 0.01), but no significant increase in FV intake. In schools without food policies, FV provision alone contributed to an increase in child FV intake (p < 0.05).]]> Wed 28 Feb 2024 14:54:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39627 Wed 28 Feb 2024 14:54:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39789 Wed 28 Feb 2024 14:54:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40105 Wed 28 Feb 2024 14:54:24 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37760 Wed 28 Feb 2024 14:54:07 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41562 Wed 28 Feb 2024 14:53:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44357 Wed 28 Feb 2024 14:53:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46177 10% weight loss at three months post-treatment than HPV-negative participants (OR = 49.68, 95% CI (2.7, 912.86) p ≤ 0.01). Conclusions: The nutritional status of HPV positive and negative patients were both negatively affected by treatment and require similarly intense nutritional intervention. In acute recovery, HPV positive patients may require more intense intervention. At 3- months post treatment, both groups still showed nutritional symptoms that require nutritional intervention so ongoing nutritional support is essential.]]> Wed 28 Feb 2024 14:53:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49641 Wed 28 Feb 2024 14:52:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45370 Wed 28 Feb 2024 14:52:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51658 pure citral > LSTT, with 1000 μL L−1 LM EO the optimal treatment. The greater response of LM over LSTT EO was attributed to its higher concentration of citral but the greater effect over citral suggested some minor constituent(s) of LM EO also had antifungal activity. While the 120 sec dips caused severe rind injury, a 30 sec dip in 1000 µL L−1 LM EO generated only slight injury and inhibited fungal wastage in Valencia and Navel oranges, mandarins and lemons. A 10 sec dip did not cause rind injury but was less effective for mould inhibition. The findings suggest LM EO as an alternative to synthetic fungicides to inhibit wastage in citrus during storage, particularly for organic produce.]]> Wed 28 Feb 2024 14:52:11 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46382 Wed 28 Feb 2024 14:51:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45291 Wed 28 Feb 2024 14:51:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48206 Wed 28 Feb 2024 14:51:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41938 Wed 28 Feb 2024 14:51:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46301 −1 lamb meat, and 0.28 pg g(⁻¹-2.75 ng g⁻¹ bovine meat), heavy metals (0.5–33.0 mg kg⁻¹ lettuce), organochlorine pesticides (11–199 μg g⁻¹ carrots), cyclodienes, hexachlorocyclohexanes, hexabromocyclododecane (2–3 times higher than in conventionally produced porcine meat), hexachlorobenzene (1.38–14.49 ng g⁻¹ fat in milk), and non-brominated flame retardants (1.3–3.2 times higher than in conventional produce of greenhouse-grown tomato and cucumber). Moreover, some pollutants like per- and polyfluoroalkyl substances with a longer half-life (1.50–9.10 yrs) are reported to occur in several organic products. In fact, several legacy persistent organic pollutants are known for their significant trophic magnification in an urban terrestrial ecosystem. In addition, many plant functionalities are adversely affected in organic farming. Therefore, the long-term usage of organic products containing such pollutants poses a significant threat to human health. The major limitation in organic livestock production is the severe shortage of organic feed. Several variable standards and technical regulations set by the government and private agencies are the major obstacles in the global marketing of organic products. The present review critically addresses the impact of organic farming on hidden risks due to the use of composts as the amendment resources that enhance the phytoaccumulation and trophic transfer of pollutants, the functional diversity of the ecosystems, and poor harmonization among the policies and regulations in different countries for organic farming. The future directions of research have been suggested to mitigate unintended flows of pollutants into the organic products.]]> Wed 28 Feb 2024 14:51:33 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42785 Wed 28 Feb 2024 14:51:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42905 Wed 28 Feb 2024 14:51:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54041 Wed 28 Feb 2024 14:51:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49143 Wed 28 Feb 2024 14:51:18 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53886 Wed 28 Feb 2024 14:50:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51986 Wed 28 Feb 2024 14:50:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51503 Wed 28 Feb 2024 14:50:10 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49747 Wed 28 Feb 2024 14:50:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47083 Wed 28 Feb 2024 14:49:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45349 Wed 28 Feb 2024 14:49:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49070 Wed 28 Feb 2024 14:49:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46637 Wed 28 Feb 2024 14:49:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47252 Wed 28 Feb 2024 14:49:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53417 Wed 28 Feb 2024 14:49:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52883 Wed 28 Feb 2024 14:49:07 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46246 Wed 28 Feb 2024 14:48:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49315 Wed 28 Feb 2024 14:48:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50627 Wed 28 Feb 2024 14:48:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49711 Wed 28 Feb 2024 14:48:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50869 Wed 28 Feb 2024 14:47:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49037 Wed 28 Feb 2024 14:47:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45551 Wed 28 Feb 2024 14:47:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45995 P > S > C. While in the black soil, it suggested that there is increasing microbial demand for only N and S. In the warmer months (May to Sep.), the microbial nutrient demands in the two soils were opposite to the colder months. The results suggested differential changes in microbial nutrient limitation with warming, which has significant implications for the carbon stocks management in farmlands under the changing global climate.]]> Wed 28 Feb 2024 14:47:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39224 Wed 28 Feb 2024 14:47:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46408 P < 0.001). An increase of one fast-food outlet corresponded with four additional cases of MI per 100 000 people per year (4.07, 95% confidence interval, 3.86-4.28). Conclusions: FFD was positively associated with incidence of MI in both rural and metropolitan areas of NSW. This relationship remained consistent after multivariate adjustment for standard cardiovascular risk factors, highlighting the importance of an individual's food environment as a potential contributor towards their health.]]> Wed 28 Feb 2024 14:47:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53252 Wed 28 Feb 2024 14:46:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39229 Wed 28 Feb 2024 14:46:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50381 Wed 28 Feb 2024 14:46:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50062 Wed 28 Feb 2024 14:46:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51155 Wed 28 Feb 2024 14:46:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50114 Wed 28 Feb 2024 14:46:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52881 Wed 28 Feb 2024 14:46:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49120 Wed 28 Feb 2024 14:46:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53945 Wed 28 Feb 2024 14:46:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51801 Wed 28 Feb 2024 14:45:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53428 Wed 28 Feb 2024 14:45:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52734 3/m³) when a second-order polynomial function was considered as the representative of the soil moisture profile.]]> Wed 28 Feb 2024 14:45:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50714 n = 108; 71.3% female, median age 28; 28.7% food insecure) had a mean (standard deviation) Cooking Skills score 70.2 (17.5)/98, and median (interquartile range) Food Skills score 96.0 (83.5-107.5)/133. The main challenges regarding healthy eating were (1) time and (2) cost, and the main resources to support healthy eating were (1) online resources (e.g., websites, Google) and (2) recipes. Findings identify possible targets for future interventions to support healthy eating in this vulnerable group (e.g., supporting cooking and food skills).]]> Wed 28 Feb 2024 14:45:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48238 Wed 28 Feb 2024 14:45:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52737 Wed 28 Feb 2024 14:45:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41044 Wed 28 Feb 2024 14:45:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43947 Wed 28 Feb 2024 14:45:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49203 n = 3,517). The prevalence of "at-risk" patients (NRS 2002 scores of 3+) was highest in patients with cardiac conditions (31.5%) and lowest in patients with diseases of the respiratory system (6.9%). Controlling for sex, age, education, type of insurance, smoking status, the main diagnosed disease, and Charlson comorbidity index (CCI), the multivariate analysis showed that the NRS 2002 score = 3 [hazard ratio (HR): 1.376, 95% CI: 1.031-1.836] were associated with approximately a 1.5-fold higher likelihood of death. NRS 2002 scores = 4 (HR: 1.982, 95% CI: 1.491-2.633) and NRS scores ≥ 5 (HR: 1.982, 95% CI: 1.498-2.622) were associated with a 2-fold higher likelihood of death, compared with NRS 2002 scores <3. An NRS 2002 score of 3 (percentage change: 16.4, 95% CI: 9.6-23.6), score of 4 (32.4, 95% CI: 24-41.4), and scores of ≥ 5 (36.8, 95% CI 28.3-45.8) were associated with a significantly (16.4, 32.4, and 36.8%, respectively) higher likelihood of increased LoS compared with an NRS 2002 scores <3. The NRS 2002 score = 3 group (17.8, 95% CI: 8.6-27.7) was associated with a 17.8%, the NRS 2002 score = 4 group (31.1, 95% CI: 19.8-43.5) a 31.1%, and the NRS 2002 score ≥ 5 group (44.3, 95% CI: 32.3-57.4) a 44.3%, higher likelihood of increased hospital costs compared with a NRS 2002 scores <3 group. Specifically, the most notable mortality-specific comorbidity and LoS-specific comorbidity was injury, while the most notable cost-specific comorbidity was diseases of the digestive system. Conclusions: This study demonstrated the high burden of undernutrition at the time of hospital admission on the health and hospital cost outcomes for older immobile inpatients. These findings underscore the need for nutritional risk screening in all Chinese hospitalized patients, and improved diagnosis, treatment, and nutritional support to improve immobile patient outcomes and to reduce healthcare costs.]]> Wed 28 Feb 2024 14:45:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53780 Wed 28 Feb 2024 14:45:11 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43543 Wed 28 Feb 2024 14:45:06 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49443 Wed 28 Feb 2024 14:45:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49772 Wed 28 Feb 2024 14:44:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55755 Wed 19 Jun 2024 16:05:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42764 Wed 13 Mar 2024 19:14:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48906 Wed 13 Mar 2024 19:14:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51436 Wed 13 Mar 2024 19:08:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54248 Wed 13 Mar 2024 19:08:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50554 Wed 13 Mar 2024 19:04:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53215 Wed 13 Mar 2024 19:03:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53379 Wed 13 Mar 2024 08:54:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39346 Tue 14 May 2024 08:37:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55639 Tue 11 Jun 2024 18:50:47 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55007 Thu 28 Mar 2024 13:58:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54809 65 years) was 32.4 (SD=9.8). As the severity of household food insecurity increased, ARFS total decreased. Marginally food insecure respondents reported a mean ARFS score three points lower than food-secure adults (B=-2.7; 95%CI [-5.11, -0.34]; p=0.03), and reduced by six points for moderately (B=-5.6; 95%CI [-7.26, -3.90]; p<0.001) and twelve points for severely food insecure respondents (B=-11.5; 95%CI [-13.21, -9.78]; p<0.001). Marginally food insecure respondents had significantly lower vegetable sub-scale scores, moderately food insecure respondents had significantly lower sub-scale scores for all food groups except dairy, severely food insecure respondents had significantly lower scores for all sub-scale scores. Conclusions: Poorer diet quality is evident in marginally, moderately, and severely food insecure adults. Interventions to reduce food insecurity and increase diet quality are required to prevent poorer nutrition-related health outcomes in food-insecure populations in Australia.]]> Thu 14 Mar 2024 14:10:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55691 Mon 17 Jun 2024 10:25:35 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51196 Mon 13 May 2024 10:04:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55352 Fri 17 May 2024 15:57:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54847 Fri 15 Mar 2024 17:00:44 AEDT ]]>