https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54979 Wed 27 Mar 2024 09:31:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33815 Wed 19 Jan 2022 15:18:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30673 Wed 17 Nov 2021 16:32:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45429 Wed 13 Mar 2024 15:49:55 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:22788 Tue 24 Aug 2021 14:32:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14054 Tue 11 Dec 2018 15:34:45 AEDT ]]> 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:38413 Tue 07 Sep 2021 16:15:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45227 Thu 27 Oct 2022 12:13:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47025 Thu 06 Jul 2023 14:09:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7627 Sat 24 Mar 2018 10:44:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13790 Sat 24 Mar 2018 10:40:33 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14488 Sat 24 Mar 2018 08:25:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14535 Sat 24 Mar 2018 08:21:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11062 25 kg/m2 [odds ratio (OR) 4.50, 95% confidence interval (CI) (3.12, 6.51)], a family history of diabetes [OR 3.80, 95% CI (2.67, 5.33)] and use of insulin during pregnancy [OR 1.92, 95% CI (1.31, 2.61)]. Conclusions: Although women with known risk factors for Type 2 diabetes were more likely to perceive their risk as high, we found that one third still considered themselves to be at low or very low risk for the development of diabetes. These results suggest a need for increased awareness of gestational diabetes as a strong predictor of Type 2 diabetes risk.]]> Sat 24 Mar 2018 08:13:33 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18125 Sat 24 Mar 2018 08:04:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:4973 Sat 24 Mar 2018 07:46:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29378 Sat 24 Mar 2018 07:36:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29173 N = 149 049). Women with GDM (N = 49 684) were matched on age and year of giving birth, in a ratio of 1:2, to pregnant women without diabetes (N = 99 365). Results: Over a median 8-year follow-up, there were a total of 2927 (1.5%) cancers. After adjustment for covariates, we found no significant difference in overall risk of cancer between women with GDM and matched control subjects; however, GDM was associated with a significantly greater risk of thyroid cancer (adjusted hazard ratio 1.24, 95% CI 1.05, 1.46) and a significantly lower risk of premenopausal breast cancer (hazard ratio 0.86, 95% CI 0.75, 0.98) compared with matched control subjects. Conclusions: This large population-based study did not find a greater risk of cancers among women with GDM during the first decade postpartum; however, GDM was associated with a higher risk of thyroid cancer and a lower risk of premenopausal breast cancer. Further studies are needed to confirm these findings.]]> Sat 24 Mar 2018 07:35:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29323 4500 g). Results: On average, women with a normal BMI gained 1 kg/m² between first and second pregnancies, while women who were overweight or obese gained 1.37 kg/m². Among women with a normal BMI in their first pregnancy, a BMI increase of ≥4 kg/m² was associated with increased risk of developing GDM (aRR 1.97; 95% CI 1.22–3.19), a macrosomic (aRR 4.06; 95% CI 2.25–7.34) or LGA infant (aRR 1.31 0.96–1.78) in the second pregnancy, while a reduction in BMI (≤–2 kg/m²) was associated with an increased risk of SGA (aRR 1.94; 1.19–3.16). Among women who were overweight or obese in their first pregnancy, a BMI increase of ≥2–4 and ≥4 kg/m² was associated with increased risks of developing GDM in the second pregnancy (aRR 1.39; 95% CI 1.01–1.91 and aRR 1.64 95% CI 1.16–2.31; _Ptrend< 0.001), while no associations were observed for a BMI increase and risk of a macrosomic, SGA, or LGA infant. In contrast, reduction in BMI (≤–2 kg/m²) was associated with a reduced risk of GDM (aRR 0.58 95% CI 0.37–0.90) and SGA (aRR 0.47; 95% CI 0.25–0.87). Conclusion: Increases in BMI between pregnancies is associated with an increased risk for perinatal complications, even in normal-weight women, while a reduction in BMI is associated with improved perinatal outcomes among women who are overweight/obese. Inter-pregnancy weight control is an important target to reduce the risk of an adverse perinatal outcome in a subsequent pregnancy.]]> Sat 24 Mar 2018 07:34:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38271 Mon 29 Jan 2024 18:51:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44183 Mon 10 Oct 2022 10:48:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45561 Fri 04 Nov 2022 14:44:44 AEDT ]]>