https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53985 9 years, mean HbA1c of 55.4 mmol/mol) answered the questionnaire. We found that most participants (79.3%) who learn ACC, at onset or later, continue to use the method. A higher level of empowerment was associated with lower HbA1c (p = 0.021), making patient empowerment an important factor in achieving optimal glycemic outcomes. No associations were found between ACC and empowerment or glycemic outcomes. A mixed strategy, only using ACC sometimes when insulin dosing for meals, was associated with the lowest empowerment score and highest HbA1c and should warrant extra education and support from the diabetes team to reinforce a dosing strategy.]]> Wed 28 Feb 2024 15:45:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35468 0.05). HbA1c was significantly higher in children offered food in a grazing pattern compared with those offered regular meals (mean 61 mmol/mol vs 43 mmol/mol (7.7% vs 6.1%), p=0.01). Conclusions: Dietary quality is a concern in young children with T1D with excessive saturated fat and inadequate vegetable intake. Our results suggest that young children meeting glycemic targets give insulin before meals and follow a routine eating pattern.]]> Wed 24 Nov 2021 15:51:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50104 60% of respondents reported dietary interventions aiming for >45% energy from carbohydrate, 15%–25% energy from protein and 15%–30% energy from fat. Many variations in MNT found in 2009 continued to be evident in 2019, including the percentage of energy from carbohydrate aimed for (30%–65% in 2019 vs. 20%–75% in 2009) and the wide range in the recommended minimum daily carbohydrate intake (40–220 and 60–300 g). Few dietitians reported aiming for the NPG minimum of 175 g of carbohydrate daily in both surveys (32% in 2019 vs. 26% in 2009). There were, however, some significant increases in MNT consistent with NPG recommendations in 2019 vs. 2009, including the minimum frequency of visits provided (49%, n = 61 vs. 33%, n = 69; p < 0.001) and provision of gestational weight gain advice (59%, n = 95 vs. 40%, n = 195; p < 0.05). Conclusions: Although many dietitians continue to provide MNT consistent with existing NPG, there is a need to support greater uptake, especially for recommendations regarding carbohydrate intake.]]> Wed 12 Jul 2023 13:56:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54433 Tue 27 Feb 2024 14:05:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52728 Tue 24 Oct 2023 08:38:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55172 Tue 23 Apr 2024 09:38:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49963 Tue 20 Jun 2023 14:36:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54313 Tue 20 Feb 2024 14:29:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41944 Tue 16 Aug 2022 14:25:07 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45992 Tue 08 Nov 2022 15:15:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25825 30 years, family history of diabetes, pre-pregnancy obesity (BMI ≥30kg/m²), prior GDM, early diagnosis of GDM (<24 weeks gestation), fasting venous blood glucose level (≥5.3 mmol/l) and HbA_1c at GDM diagnosis ≥5.5% (≥37 mmol/mol). The requirement for MNT+I could be estimated according to the number of predictors present: 85.7-93.1% of women with 6-7 predictors required MNT+I compared with 9.3-14.7% of women with 0-1 predictors. This model predicted the likelihood of several adverse outcomes, including Caesarean delivery, early delivery, large for gestational age and an abnormal postpartum OGTT. The model was validated in a separate clinic population. Conclusions/interpretation: This validated model has been shown to predict therapy type and the likelihood of several adverse perinatal outcomes in women with GDM.]]> Thu 28 Oct 2021 12:35:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39347 20%, while eight reported rates < 5%. All clinics used the routine clinical interview as the primary method of screening for disordered eating. Only one used screening tools; these were not diabetes-specific or routinely used. Barriers to use of screening tools included shortage of time and lack of staff confidence around use (n = 7, 70%). Enablers included staff training in disordered eating. Conclusions: Screening tools for disordered eating are not utilised by most Australasian paediatric T1D clinics. Overall, low reported rates of disordered eating suggest that it may be undetected, potentially missing an opportunity for early intervention.]]> Thu 28 Jul 2022 15:20:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30981 Thu 27 Jan 2022 15:56:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33671 Thu 27 Jan 2022 15:56:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51868 75 mmol/mol (>9.0%) in 2004 (p = .873), 2010 (p = .10) or 2016 (p = .630). Mean HbA1c decreased from 2004 to 2016 in the 10-13 year (69 mmol/mol (8.4%) vs. 57 mmol/mol (7.4%), p = <.001) and 14-17 year group (72 mmol/mol (8.7%) vs. 63 mmol/mol (7.9%), p = <.001). Prior to the implementation of MDI and CSII in 2004 only 10% of 10-13 year olds and 8% of 14-17 year olds achieved the international target for glycemic control (HbA1c 53 mmol/mol [<7.0%]). In 2016, this increased to 31% of 10-13 year olds and 21% of 14-17 year olds. CONCLUSIONS: BMI-SDS did not increase with the change to intensive insulin therapy despite a doubling in the number of adolescents achieving the recommended glycemic target of <7.0% (53 mmol/mol). HbA1c was not associated with weight gain.]]> Thu 21 Sep 2023 10:24:57 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49335 Thu 11 May 2023 15:21:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49334 Thu 11 May 2023 15:21:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30992 Thu 09 Dec 2021 11:05:01 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46812 n = 44 articles) and few studies comparing to the reference standard (n = 10 articles) of a diagnostic interview. This review shows that a variety of tools have been used to screen and identify disordered eating behaviours and eating disorders in people with T1D. Future research including comparison to a gold standard diagnostic interview is warranted to further evaluate the validity and reliability of available tools.]]> Thu 01 Dec 2022 10:32:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12458 Sat 24 Mar 2018 08:17:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20448 Sat 24 Mar 2018 08:06:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5388 Sat 24 Mar 2018 07:43:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28288 Sat 24 Mar 2018 07:41:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26704 Sat 24 Mar 2018 07:26:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:4621 Sat 24 Mar 2018 07:21:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22661 Sat 24 Mar 2018 07:15:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49565 Mon 22 May 2023 09:20:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36297 Mon 15 Apr 2024 10:40:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54598 Mon 04 Mar 2024 08:42:34 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40039 Fri 22 Jul 2022 13:13:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48914 Fri 14 Apr 2023 18:21:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46124 P < 0.01), after adjusting for confounders, and more often received insulin therapy (47.0% vs. 33.6%; P < 0.0001), with an adjusted odds ratio (aOR) of 1.4 (95% CI 1.1–1.7; P < 0.01). aORs for each 2-kg increment of cEGWG were a 1.3-fold higher use of insulin therapy (95% CI 1.1–1.5; P < 0.001), an 8-unit increase in final daily insulin dose (95% CI 5.4–11.0; P < 0.0001), and a 1.4-fold increase in the rate of delivery of LGA infants (95% CI 1.2–1.7; P < 0.0001). Conclusions: The absence of EGWG and restricting cEGWG in GDM have a mitigating effect on oGTT-based FPG, the risk of having an LGA infant, and insulin requirements.]]> Fri 11 Nov 2022 15:08:06 AEDT ]]>