https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50114 Wed 28 Feb 2024 14:46:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30070 Wed 24 Nov 2021 15:53:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35669 Wed 24 Nov 2021 15:51:43 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35679 Wed 24 Jun 2020 09:57:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17078 Wed 19 Apr 2023 13:36:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35716 Wed 17 Jun 2020 11:10:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32350 Wed 15 Dec 2021 16:07:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49608 Wed 14 Jun 2023 18:15:45 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44378 n = 12) aged 18–35 years completed two fMRI scans (fasted and fed) while viewing high-calorie food images and low-calorie food images. Food addiction symptoms were assessed using the Yale Food Addiction Scale. Associations between FA symptoms and activation of the BLA and central amygdala were tested using bilateral masks and small-volume correction procedures in multiple regression models, controlling for BMI. Participants were 24.1 ± 2.6 years, with mean BMI of 27.4 ± 5.0 kg/m2 and FA symptom score of 4.1 ± 2.2. A significant positive association was identified between FA symptoms and higher activation of the left BLA to high-calorie versus low-calorie foods in the fasted session, but not the fed session. There were no significant associations with the central amygdala in either session. This exploratory study provides pilot data to inform future studies investigating the neural mechanisms underlying FA.]]> Wed 12 Oct 2022 11:14:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43537 Wed 11 Oct 2023 15:47:38 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35856 Wed 11 Dec 2019 14:51:22 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13783 Wed 11 Apr 2018 16:00:09 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16799 Wed 11 Apr 2018 14:58:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13794 0.05). Independent of age, sex, energy intake, and waist circumference z-score, sedentary behavior and LPA were associated with HDL-C (β = −0.23, 95% CI −0.42 to −0.04, P = 0.020; β = 0.20, 95% CI 0.14 to 0.39, P = 0.036, respectively). The strength of the associations remained after additionally adjusting for MVPA (sedentary behavior: β = −0.22, 95% CI −0.44 to 0.006, P = 0.056; LPA: β = 0.19, 95% CI −0.005 to 0.38, P = 0.056, respectively). Conclusion: Substituting at least LPA for sedentary time may contribute to the development of healthy HDL-C levels among overweight and obese children, independent of their adiposity. Comprehensive prevention and treatment strategies to improve plasma HDL-C among overweight and obese children should target reductions in total sedentary time and promote the benefits of LPA, in addition to promoting healthy levels of adiposity, healthy dietary behaviors, and MVPA.]]> Wed 11 Apr 2018 14:51:53 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21268 10% indigenous population. Methods: Baseline and 3-month dietary intake and social cognitive theory (SCT) constructs were collected in 51 children, mean age 9 years, 61% female. McNemar tests were used for comparison of proportions between categorical variables. Cohen's d was used to compare effect sizes across different measures. Results: Consumption of one or more fruit servings per day significantly increased from 41% to 67% (P = 0.02, d = 0.13) and there was a trend for increasing the weekly variety of fruit and vegetables. The SCT constructs assessed within the current study improved significantly (P < 0.05), with moderate to large effect sizes (d = 0.33-0.78). Conclusion: This study documents that a previous efficacious healthy lifestyle program can be adapted for use as an obesity prevention program addressing improvements in vegetable and fruit intakes in a low income community with a relatively high indigenous population.]]> Wed 11 Apr 2018 14:37:06 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14514 trend = 0.11). Conclusions: In addition to increasing MVPA, targeting reduced SED and limiting bouts of SED to <30 min may contribute to improved HDL cholesterol levels and cardio-metabolic health in overweight/obese children.]]> Wed 11 Apr 2018 14:01:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19217 Wed 11 Apr 2018 13:21:12 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22632 Wed 11 Apr 2018 12:53:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27129 in-vivo measurement of brain biochemistry. The objective of this study was to explore the effects of a commercial energy drink (ED) on brain metabolites in adult males using MRS. Methods: Ten males (18 to 30 years), of mean body mass index 23.8±2.2 kg/m² [range 21.4-27.8 kg/m²] were recruited and randomized to either the intervention group (n=5) or control group (n=5). The intervention group were asked to consume two 250ml cans of Red Bull and the control group consumed no drink. One dimensional MRS on a 1.5T Achieva MRI scanner was obtained of bi-occipital gray matter. Subjects were placed in the scanner and a spectrum acquired every 5.75 minutes for 60 minutes. Linear mixed models were generated to determine the main effects due to differences between groups and times and the interaction. Results: There was a significant group by time effect for N-acetylaspartate (NAA) (P= .02, d= 0.7) and a statistical trend for macromolecule 20 (MM20) (P= .06 d= 0.1) with the control group having higher concentrations than that of the intervention. Mean differences from baseline to 45 minutes for NAA in the intervention group were -0.8 mM (-12%) compared with 0.15 mM (<1%) for control and for MM20 -0.12 mM (<1%) in the intervention group compared with 0.03 mM (<1%) for control. Conclusions: Consumption of two cans of ED was found to produce few changes in brain metabolites with moderate effect sizes. Changes detected in this study demonstrate the sensitivity of the MRS method to explore nutrition related variables with 1.5T clinical MRI unit. The study provides some insight into an understudied, topical area of research.]]> Wed 11 Apr 2018 12:09:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11501 Wed 11 Apr 2018 11:46:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14513 Wed 11 Apr 2018 11:01:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14529 18 years old, reported weight status, and included fMRI outcomes. Sixty studies were identified that investigated the neural responses of healthy weight participants (n = 26), healthy weight compared to obese participants (n = 17), and weight-loss interventions (n = 12). High-calorie food images were used in the majority of studies (n = 36), however, image selection justification was only provided in 19 studies. Obese individuals had increased activation of reward-related brain areas including the insula and orbitofrontal cortex in response to visual food cues compared to healthy weight individuals, and this was particularly evident in response to energy dense cues. Additionally, obese individuals were more responsive to food images when satiated. Meta-analysis of changes in neural activation post-weight loss revealed small areas of convergence across studies in brain areas related to emotion, memory, and learning, including the cingulate gyrus, lentiform nucleus, and precuneus. Differential activation patterns to visual food cues were observed between obese, healthy weight, and weight-loss populations. Future studies require standardization of nutrition variables and fMRI outcomes to enable more direct comparisons between studies.]]> Wed 11 Apr 2018 10:57:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50845 Wed 09 Aug 2023 09:17:57 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28370 Wed 06 Apr 2022 13:59:43 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55534 Wed 05 Jun 2024 09:23:36 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29571 18 years) who completed an Australian family-based CVD risk reduction program were invited to a semi-structured telephone interview. Responses were recorded, transcribed verbatim and analysed using a systematic deductive approach with coding derived from key concepts developed as part of the interview structure. Seventeen participants from eight families were interviewed (aged 18-70 years, 47% male, five with CVD diagnosis). Key themes indicated both intrinsic and extrinsic motivations to improve heart health, variations in risk perception, recognition of the role diet plays in heart health, and the extent of family influences on eating patterns. Discrepancies between perceived and actual CVD risk perception impacted on perceived "need" to modify current dietary patterns towards heart health recommendations. Therefore, strategies not reliant on risk perception are needed to engage those with low risk perception. This could involve identifying and accessing the family "ringleader" to influence involvement and capitalising on personal accountability to other family members.]]> Wed 02 Oct 2019 10:22:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28149 Wed 02 Oct 2019 10:21:06 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27292 Wed 02 Oct 2019 10:20:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30433 Wed 02 Oct 2019 10:19:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25738 Wed 02 Oct 2019 10:16:56 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25739 Wed 02 Oct 2019 10:16:17 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25772 Wed 02 Oct 2019 10:16:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53963 Tue 23 Jan 2024 12:39:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54345 Tue 20 Feb 2024 16:22:36 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54318 Tue 20 Feb 2024 15:51:10 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52965 Tue 14 Nov 2023 12:58:28 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39346 Tue 14 May 2024 08:37:30 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53628 Tue 12 Dec 2023 15:26:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42861 n = 309) were predominantly female (61%), from the obese BMI category (67%) and had accessed a range of services for weight loss (97%). Using multiple logistic regression, participants with higher mYFAS scores were more likely to engage in treatment (AOR 1.68; 95% CI 1.12–2.52), while participants with higher DASS total scores were less likely to engage in treatment (AOR 0.97; 95% CI 0.95–0.99). Conclusion: This study indicates considerable interest from consumers in seeking addictive eating treatment. Individuals who did not engage in treatment displayed higher mental health comorbidity, suggesting that higher mental health symptomatology may be a barrier to treatment. Future qualitative research is needed to provide an in-depth understanding of the reasons for seeking and engaging in addictive eating treatment, as well as to identify the optimal treatments and referral pathways. Level of evidence: Level IV.]]> Tue 06 Sep 2022 09:10:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30162 Tue 02 Apr 2019 10:06:44 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39945 Thu 30 Jun 2022 14:22:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35681 Thu 28 Oct 2021 13:04:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45357 Thu 27 Oct 2022 14:06:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24494 Thu 24 Mar 2022 11:32:04 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45006 Thu 23 Mar 2023 13:24:35 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14516 Thu 20 Sep 2018 15:15:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:18914 35 years, females, and overweight/obese participants. Additionally, YFAS diagnosis and symptom score was higher in clinical samples compared to non-clinical counterparts. YFAS outcomes were related to a range of other eating behavior measures and anthropometrics. Further research is required to explore YFAS outcomes across a broader spectrum of ages, other types of eating disorders and in conjunction with weight loss interventions to confirm the efficacy of the tool to assess for the presence of FA.]]> Thu 20 Sep 2018 15:13:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24422 Thu 20 Sep 2018 14:53:11 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50868 Thu 17 Aug 2023 11:21:47 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45422 Thu 10 Nov 2022 11:07:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47845 Thu 02 Feb 2023 15:50:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9451 Sat 24 Mar 2018 10:44:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7040 Sat 24 Mar 2018 08:37:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14502 Sat 24 Mar 2018 08:21:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14616 2, females 41.3 years, 24.0 kg/m². Reproducibility was assessed over six months using Wilcoxon signed-rank tests and comparative validity was assessed by intraclass correlation coefficients (ICC) estimated by fitting a mixed effects model for each nutrient to account for age, sex and BMI to allow estimation of between and within person variance. Results: Reproducibility was found to be good for both WFR and FFQ since there were no significant differences between round 1 and 2 administrations. For comparative validity, FFQ ICCs were at least as large as those for WFR. The ICC of the WFR-FFQ difference for total energy intake was 0.6 (95% CI 0.43, 0.77) and the median ICC for all nutrients was 0.47, with all ICCs between 0.15 (%E from saturated fat) and 0.7 (g/day sugars). Conclusions: Compared to WFR the AES FFQ is suitable for reliably estimating the dietary intakes of Australian adults across a wide range of nutrients.]]> Sat 24 Mar 2018 08:20:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14527 18 years. Types of intervention(s)/phenomena of interest: Intervention programs were required to have a parental component, to target eating and/or exercise behaviors for the prevention or treatment of obesity, and child weight status reported. Types of studies: All intervention studies were included in the review including: randomized controlled trials (RCTs); non-randomized controlled trials, longitudinal studies, cohort (both retrospective and prospective), case control and time series studies which had been conducted in a community setting. Types of outcomes: This review considered studies that included overweight/obesity related outcomes, eating behavior outcomes, physical activity behaviour outcomes, and sedentary behavior outcomes and constructs. Search strategy: A literature search of community-based parent-centred intervention studies to promote nutrition and physical activity for the prevention and treatment and of childhood overweight and obesity was performed in eight electronic databases dating from 1975 to April 2009. Methodological quality: Studies were critically appraised for methodological quality using standardized tools. Data collection: Data was extracted by one reviewer using a standardized data extraction form developed by the researchers and checked for accuracy and consistency by a second reviewer. Data synthesis: Data in relation to setting, methodology, intervention components and effect on weight, dietary intake and physical activity was extracted, and described in a narrative synthesis. Where possible a meta-analysis was undertaken. Results: Of the home-based interventions, five of nine studies reported statistically significant changes in anthropometric outcomes post intervention. Of the 10 studies in the before and after school care setting, seven reported a significant decrease in a weight-related outcome post intervention, with only one reporting an increase. Conclusions: Results from the review support the after-school setting as the most promising for community intervention setting for targeting parents as agents of change within child obesity prevention and treatment programs.]]> Sat 24 Mar 2018 08:19:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12428 .05). Some metabolic outcomes improved at 24 months, although there were no between-group differences (P > .05). Conclusions: A reduction in BMI z score was sustained at 24 months by treatment with either program combination. The greatest effects were achieved through inclusion of a parent-centered diet program, indicating the importance of targeting parents within treatment and the possibility of targeting them exclusively in treating obese prepubertal children.]]> Sat 24 Mar 2018 08:17:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13472 Sat 24 Mar 2018 08:15:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12314 0.05). Children’s intakes of fruit and some energy-dense nutrient-poor foods but not vegetables were related to their father’s intakes. The targeting of fathers should be tested in experimental studies as a potential strategy to improve child and family eating habits.]]> Sat 24 Mar 2018 08:11:35 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17872 Sat 24 Mar 2018 07:56:12 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29906 P=0.42) and vegetable (P=0.17) intakes between HCFV and LCFV groups. Dietary alpha carotene, beta carotene, lutein, and beta cryptoxanthin intakes were significantly different between the two groups (P<0.01). Following HCFV there was a significantly greater increase in skin yellowness (b*) in both sun-exposed (P<0.001) and unexposed areas, (P<0.001), with no change in skin lightness (L*) or redness (a*). Significantly higher plasma alpha carotene (P=0.004), beta carotene (P=0.001), and lutein (P=0.028) concentrations were found following the HCFV intervention. Skin yellowness correlated with alpha carotene and beta carotene. Conclusions: Skin yellowness (b*) and fasting plasma carotenoid concentrations were significantly higher following HCFV than LCFV over 4 weeks.]]> Sat 24 Mar 2018 07:40:58 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28148 12 years were identified. Key words were chosen to identify apps applicable to children, focusing on nutrition. Results: A total of 27 apps were included. Most apps (24/27) were not based on evidence-informed recommendations. A third of apps were developed in the USA (n = 10; 37%) and were free (67%), nine apps required upfront payment, with a mean cost of $A2.80 (range $A0.99-$A7.49). The most common nutrition features were the promotion of energy balance (n = 12 apps) and guidance on appropriate portion size (n = 15). The most common behaviour change feature was goal setting (n = 15). The five apps that scored most highly against the characteristics reviewed were: Calorie Counter Pro by My Net Diary, Weight Watchers, Swap It Don't Stop It, Control My Weight by CalorieKing and Rate What I Ate-Photo Diet Tracker. Conclusions: Very few apps were identified that could be used in education or support behavioural interventions for child obesity. There is a need to harness this technology and evaluate the applicability and use within childhood obesity research interventions.]]> Sat 24 Mar 2018 07:36:38 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26150 Sat 24 Mar 2018 07:35:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26597 Sat 24 Mar 2018 07:34:00 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30949 2) aged 18–40 years who had given birth in the previous 5 years Measurements: women self-reported socio-demographic, weight status and pregnancy characteristics. Those who reported being unhappy at their current weight ranked their most to least important reasons for wanting to change their weight from a list of nine options. Weight control methods used in the previous two years were reported from a list of 12 options. Perceived healthy eating and physical activity factors influencing weight management were assessed across 20 items using a five-point Likert scale. Findings: the most prevalent motivators reported for weight change were to improve health (26.1%) and lift mood (20.3%). Three-quarters (75.7%) of women reported having used at least one weight loss method in the previous two years. Time constraints due to family commitments, enjoyment of physical activity and healthy eating, motivation and cost were factors most commonly reported to influence weight management. Body mass index, parity, education, household income and time since last birth were related to motivations for weight change, weight loss methods used and/or factors perceived to influence weight management. Implications for practice: weight management support provided by health professionals should consider women's expressed motivators and factors influencing weight management, along with differences in sociodemographic, pregnancy and weight status characteristics, in order to engage women at this life-stage and facilitate adoption of healthy lifestyle behaviours.]]> Sat 24 Mar 2018 07:33:39 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28331 Sat 24 Mar 2018 07:25:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38396 Mon 29 Jan 2024 17:47:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51258 0.870, p<0.002). Participants with BMI in ranges 30-34.9 and 35-39.9kg/m2 ranges were less likely to provide an image. Conclusions: This study demonstrates the method concordance of image-based collection methods with self-reported weight in online research.]]> Mon 28 Aug 2023 13:42:54 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35803 Mon 25 May 2020 12:29:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39178 Mon 23 May 2022 16:23:30 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39179 Mon 23 May 2022 16:16:27 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39180 n = 29/32) were included in the current analysis (male: n = 22, 36.07%). DHA-enriched fish oil supplementation increased total testosterone levels in males after adjusting for baseline levels, age and BMI. There was no treatment effect in females. Changes in testosterone levels in males were positively associated with changes to omega-3 PUFAs EPA and DHA and inversely correlated with omega-6 PUFA, arachidonic acid and dihomo-gamma-linolenic acid content in erythrocyte membranes, and was associated with beneficial changes to fasting insulin and HOMA-IR across the course of the study. DHA-enriched fish oil supplementation increases testosterone levels in overweight and obese men. Further research is warranted to substantiate these findings with a larger sample size and a longer follow-up period.]]> Mon 23 May 2022 16:16:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39174 n = 65 indices). Some indices were age specific: infant (< 24-months; n = 8 indices), child (2–12-years; n = 16), adolescent (13–18 years; n = 8), and child/adolescent (n = 14). Thirty-seven indices evaluated for validity and/or reliability. Eleven of the 15 indices which investigated associations with prospective health outcomes reported significant results, such as improved IQ, quality of life, blood pressure, body composition, and prevalence of metabolic syndrome. Conclusions: Research utilising diet quality indices in paediatric populations is rapidly expanding internationally. However, few indices have been evaluated for validity, reliability, or association with health outcomes. Further research is needed to determine the validity, reliability, and association with health of frequently utilised diet quality indices to ensure data generated by an index is useful, applicable, and relevant. Registration: PROSPERO number: CRD42018107630.]]> Mon 23 May 2022 14:38:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40669 Mon 18 Jul 2022 08:25:13 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37432 Mon 16 Nov 2020 17:04:51 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46439 Fri 25 Nov 2022 15:28:35 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46436 Fri 25 Nov 2022 12:43:22 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33057 Fri 24 Aug 2018 11:32:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29922 Fri 24 Aug 2018 09:03:14 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37792 Food-pics and internet sources), representative of healthy and hyperpalatable foods commonly consumed in Australia, was compiled by research dietitians. Ten male and female adults volunteered to view the images. Participants categorised each image as either healthy food or 'junk food' (i.e. hyperpalatable food), and rated each image according to three criteria: 1) familiarity of the food displayed; 2) recognisability of the food; and 3) appetisingness of the food. Overall, agreement with a priori categories was high for both healthy and hyperpalatable food images, 87.3% and 87.7% respectively. The food images with the lowest overall ratings (score <7 out of possible 9) were removed from the dataset and the final paradigms each contain 75 images. The healthy food paradigm contains foods from the five core food groups (fruit, vegetables, grains and cereals, meat and meat alternatives, dairy foods), and the hyperpalatable food paradigm contains non-core foods (sweet and savoury discretionary choice foods). The paradigms represent a broad range of commonly consumed foods that will be relevant for prospective projects utilising food cues in Australian adults.]]> Fri 23 Apr 2021 14:55:22 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37785 2 = 0.32, p = 0.021) at baseline. Oxytocin levels were higher, and cholecystokinin levels lower, in food addicted (n = 6) vs. non-food addicted females (p = 0.015 and p<0.001, respectively). There were no significant changes (p>0.05) in plasma oxytocin levels in response to either healthy or hyperpalatable food images. Given that endogenous oxytocin administration tends to suppress eating behaviour; these data indicate that oxytocin receptor desensitization or oxytocin resistance may be important factors in the pathogenesis of obesity and food addiction. However, further studies in larger samples are needed to determine if peripheral oxytocin is responsive to visual food cues.]]> Fri 23 Apr 2021 14:41:22 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37784  0.05) through altered diet or behaviors (neutral effect); in contrast, significant (P < 0.05) differences (increases and decreases) were identified in clinical samples. Exogenous oxytocin studies (n = 13) found reduced indices of food intake (positive effect) in clinical and nonclinical samples. Conclusions: Overall, few studies included comprehensive investigation of dietary intakes through the use of validated assessment tools. Dietary intake and behaviors appear to have some influence on oxytocin, with more pronounced effects found with exogenously administered oxytocin.]]> Fri 23 Apr 2021 14:34:22 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40335 Fri 22 Jul 2022 14:44:35 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40751 Fri 22 Jul 2022 14:30:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36859 Fri 10 Jul 2020 19:14:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40336 Fri 08 Jul 2022 10:05:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37431 Fri 03 Dec 2021 10:32:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36380 Fri 03 Apr 2020 16:45:31 AEDT ]]>