https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35762 Wed 27 Apr 2022 14:49:28 AEST ]]> 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:36475 18 y. Where possible, studies were pooled for meta-analysis using RevMan 5.2. The principle summary measure was the mean difference between groups calculated using the random-effects model. Results: Eleven eligible crossover and 1 parallel trial were identified with a total of 299 participants [weighted mean ± SD age: 38 ± 3 y; weighted mean ± SD body mass index (kg/m²): 24 ± 2]. All studies were pooled for the meta-analysis. Diets enriched with MCFAs led to significantly higher high-density lipoprotein (HDL) cholesterol concentrations than diets enriched with LCSFAs (0.11 mmol/L; 95% CI: 0.07, 0.15 mmol/L) with no effect on triglyceride, low-density lipoprotein (LDL) cholesterol, and total cholesterol concentrations. Consumption of diets rich in MCFAs significantly increased apolipoprotein A-I (apoA-I) concentrations compared with diets rich in LCSFAs (0.08 g/L; 95% CI: 0.02, 0.14 g/L). There was no evidence of statistical heterogeneity for HDL cholesterol, apoA-I, and triglyceride concentrations; however, significant heterogeneity was observed for the total cholesterol (I² = 49%) and LDL cholesterol analysis (I² = 58%). Conclusion: The findings of this research demonstrate a differential effect of MCFAs and LCSFAs on HDL cholesterol concentrations. Further investigations are warranted to elucidate the mechanism by which the lipid profile is altered. This trial was registered at www.crd.york.ac.uk/PROSPERO as CRD42017078277.]]> Wed 24 Nov 2021 15:51:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42460 FTO) single-nucleotide polymorphism (SNP) rs9939609 is a major SNP associated with obesity and has been used as an instrumental variable for obesity in a Mendelian randomization (MR) approach. An interaction between the FTO SNP and macronutrient intake for obesity was suggested previously. Objective: The aim of this study was to assess the associations between obesity and cataract, using FTO SNP rs9939609 as an instrumental variable in an MR approach, and explore interactions of this SNP with macronutrient intake in relation to risk of cataract in a population-based cohort. Methods: The Blue Mountains Eye Study (BMES) is a longitudinal population-based study of common eye disease. Of 3654 baseline participants of the BMES (1992-1994), 2334 (75.8% of survivors) and 1952 (76.7% of survivors) were followed 5 and 10 y later. During the 5-y follow-up, 1174 new participants were examined. Cumulative cataract was defined as the presence of cortical, nuclear, or posterior subcapsular (PSC) cataract at any visit, following the Wisconsin Cataract Grading System. Imputed dosage of the FTO SNP rs9939609 was used. Quintiles of macronutrient intake (carbohydrates, protein, fats) were derived from an FFQ. ORs and 95% CIs were estimated using multivariable-adjusted logistic regression models. Results: After multivariable adjustment, there were no associations between BMI and any cataract types in MR models using rs9939609 as an instrumental variable. However, an interaction between rs9939609 and protein intake for PSC cataract risk was suggested (P = 0.03). In analyses stratified by quintiles of protein intake, each minor allele of rs9939609 was associated with increased odds of PSC (OR: 2.14; 95% CI: 1.27, 3.60) in the lowest quintile subgroup only. Conclusions: Obesity was not causally associated with age-related cataract. However, among persons in the lowest quintile of protein intake, obesity may be associated with PSC cataract.]]> Wed 24 Aug 2022 11:18:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16924 Wed 11 Apr 2018 10:15:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39272 n = 12, 2 with supplemental photos of food items consumed), estimated food records (EFRs; n = 11), FFQs (n = 10), weighed food records (WFRs, n = 5), and diet histories (n = 2). Meta-analyses identified underestimation of TEI by females and males, ranging from −1318 kJ/d (95% CI: −1967, −669) for FFQ to −2650 kJ/d (95% CI: −3492, −1807) for 24-h recalls for females, and from −1764 kJ/d (95% CI: −2285, −1242) for FFQ to −3438 kJ/d (95% CI: −5382, −1494) for WFR for males. There was no difference in the level of underestimation by sex, except when using EFR, for which males underestimated energy intake more than females (by 590 kJ/d, 95% CI: 35, 1,146). Conclusion: Substantial underestimation of TEI across a range of dietary assessment methods was identified, similar by sex. These underestimations should be considered when assessing TEI and interpreting diet–disease relations.]]> Wed 10 Aug 2022 10:51:27 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47084 Tue 13 Dec 2022 16:35:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41092 Thu 25 Jan 2024 15:57:18 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30850 Thu 21 Oct 2021 12:51:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32882 0.05) after adjustment for pretreatment values, treatment period, and treatment order. Similarly, no differences were observed between treatments for arterial stiffness measures (P > 0.05). Conclusion: Increased intake of nitrate-rich vegetables did not lower blood pressure in prehypertensive or untreated grade 1 hypertensive individuals when compared with increased intake of nitrate-poor vegetables and no increase in vegetables.]]> Thu 13 Oct 2022 17:10:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52439 Thu 12 Oct 2023 08:42:05 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1803 Sat 24 Mar 2018 08:27:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13870 40% of energy), and low carbohydrate (<40% of energy) intakes. Conclusion: Fetal body composition may be modifiable via nutritional intervention in the mother and thus may play an important role in influencing the offspring's risk of future disease.]]> Sat 24 Mar 2018 08:25:48 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11400 Sat 24 Mar 2018 08:09:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16921 Sat 24 Mar 2018 08:00:32 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16922 Sat 24 Mar 2018 08:00:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16926 Sat 24 Mar 2018 08:00:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16914 Sat 24 Mar 2018 07:58:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16937 Sat 24 Mar 2018 07:51:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16936 Sat 24 Mar 2018 07:51:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24117 Sat 24 Mar 2018 07:11:43 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:33965 Fri 25 Jan 2019 14:42:22 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37059 Fri 21 Aug 2020 11:53:43 AEST ]]>