https://nova.newcastle.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:51194 0·05). The proportion of participants who visited the thirteen website pages ranged from 0·6 % to 75 %. Half (Group 2 = 53 %, Group 3 = 52 %) of participants who completed the process evaluation (Group 2, n 111; Group 3, n 90) were satisfied with the programme. Conclusion: Recruiting and retaining young adults in web-based dietary interventions are challenging. Future research should consider ways to optimise these interventions, including co-design methods.]]> Wed 30 Aug 2023 10:06:52 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53818 Wed 28 Feb 2024 16:04:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52435 Wed 28 Feb 2024 15:36:33 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52475 Wed 28 Feb 2024 15:33:43 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:39346 Wed 28 Feb 2024 14:55:19 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: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:47298 Wed 26 Jul 2023 11:09:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38805 Wed 24 May 2023 13:11:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:43519 Wed 21 Sep 2022 11:25:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:40817 Wed 20 Jul 2022 13:44:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:48953 Wed 19 Apr 2023 12:42:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:49649 Wed 14 Jun 2023 18:46:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:49608 Wed 14 Jun 2023 18:15:45 AEST ]]> 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:49321 Wed 13 Mar 2024 08:52:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:45794 Wed 13 Mar 2024 08:49:18 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:43537 Wed 11 Oct 2023 15:47:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53683 Wed 10 Jan 2024 10:27:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:40647 Wed 10 Aug 2022 12:06:25 AEST ]]> https://nova.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://nova.newcastle.edu.au/vital/access/manager/Repository/uon:43981 Wed 05 Oct 2022 14:29:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:47388 Wed 05 Jul 2023 16:04:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38655 Wed 04 May 2022 15:19:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38551 Wed 03 Nov 2021 14:23:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:49033 Wed 03 May 2023 13:41:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38913 TM”) model, using the PRECEDE-PROCEED model as the underlying Cook-EdTM framework. A review of the food and cooking skills education literature informed the content of the Cook-Ed^TM model. Cook-Ed^TM was critiqued by experts in consumer behaviour, cooking and nutrition education research and education until consensus on model content and format was reached. Cook-Ed^TM leads cooking program developers through eight distinct stages, engaging key stakeholders in a co-design process from the outset to tailor programs to address the need of individuals and inform the development of program content, program delivery, and evaluation. A Cook-Ed^TM scenario applied in practice is described. The proposed Cook-Ed^TM model has potential to be adapted for use in domestic cooking education programs delivered in clinical, community, school or research settings. Further research will establish Cook-Ed^TM’s utility in enhancing program development and in improving food and cooking skills, dietary patterns and health outcomes.]]> Wed 02 Mar 2022 14:40:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38123 Wed 02 Aug 2023 15:08:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52871 Tue 31 Oct 2023 10:16:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:50438 Tue 25 Jul 2023 19:15:28 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53963 Tue 23 Jan 2024 12:39:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:51138 12 months (0.58 kg/m2, 95% CI = 0.01 to 1.16, p = 0.05), and systolic blood pressure (mmHg) at ≤ 6 months (3.51, p < 0.001). Conclusions: Lifestyle interventions are important for the prevention of CVD in women, specifically to reduce systolic blood pressure in the short term (≤ 6 months) and BMI long term (>12 months). Systematic review registration: https://osf.io/bkwqm, identifier: osf-registrations-bkwqm-v1.]]> Tue 22 Aug 2023 15:58:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:51139 Tue 22 Aug 2023 15:58:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:51123 Tue 22 Aug 2023 15:50:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:48545 Tue 21 Mar 2023 15:23:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:54375 Tue 20 Feb 2024 20:24:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:54368 Tue 20 Feb 2024 19:58:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:54355 Tue 20 Feb 2024 16:20:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:54318 Tue 20 Feb 2024 15:51:10 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38233 Tue 17 Aug 2021 08:35:47 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:44301 Tue 11 Oct 2022 16:05:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:44293 Tue 11 Oct 2022 15:51:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:39116 Tue 10 May 2022 15:01:34 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:42877 Tue 06 Sep 2022 10:34:20 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:54133 Tue 06 Feb 2024 11:37:17 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:50556 Tue 01 Aug 2023 10:28:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:44559 Thu 29 Feb 2024 11:11:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:39504 Thu 28 Jul 2022 15:11:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:45400 Thu 27 Oct 2022 17:36:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:45357 Thu 27 Oct 2022 14:06:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:45302 Thu 27 Oct 2022 13:56:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:45425 Thu 27 Jul 2023 10:07:40 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:51183 Thu 24 Aug 2023 14:37:28 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52647 Thu 19 Oct 2023 15:19:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38265 Thu 19 Aug 2021 16:26:50 AEST ]]> 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:49314 Thu 11 May 2023 14:39:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:45422 Thu 10 Nov 2022 11:07:07 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:45421 Thu 10 Nov 2022 10:30:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:37939 60%), attendance (80%), retention (≥85%), and program acceptability (≥4 out of 5). Acceptability of data collection procedures, research team program/resource management, home-program compliance, and preliminary intervention outcomes were also assessed. Results: Feasibility benchmarks were surpassed for recruitment (24 dyads), eligibility rate (61.5%), attendance (89%), retention (100%), and program acceptability (4.6 out of 5). Data collection procedures were acceptable. Challenges included mothers reporting their own dietary intake rather than their child’s, children moving during body composition measurement, and resetting pedometers. Resource and program management were excellent. Most families met home-program requirements (83%). Preliminary intervention outcomes were encouraging for fathers and children. Conclusion: Program feasibility was demonstrated by excellent recruitment, attendance, acceptability, retention, program administration, and promising preliminary intervention outcomes. A few data collection difficulties were identified. A larger scale efficacy trial is warranted.]]> Thu 08 Jul 2021 16:41:31 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:40266 Thu 07 Jul 2022 12:09:36 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52204 Thu 05 Oct 2023 10:15:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:49221 Sun 07 May 2023 09:37:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:50607 Mon 31 Jul 2023 12:43:54 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38358 Mon 30 Aug 2021 16:34:38 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38860 Mon 29 Jan 2024 17:51:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:49583 3 months. Narrative synthesis identified that 34 RCTs (52%) reported significant between group differences favouring the intervention for one or more PA outcome. BCTs with the highest effectiveness were material reward, valued self-identity and habit formation. However, the overall test of significance demonstrated no significant relationship between type or number of BCTs and effectiveness. This review identified interventions that improve steps, moderate-vigorous and total PA in young adults in the shorter-term, and BCTs associated with greater effectiveness. Further research is needed to determine strategies to achieve longer-term effectiveness of PA interventions in young adults.]]> Mon 22 May 2023 12:08:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53924 Mon 22 Jan 2024 16:42:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:39754 Mon 20 Jun 2022 12:01:11 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:47382 Mon 16 Jan 2023 13:46:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38223 Mon 16 Aug 2021 15:49:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:46239 Mon 14 Nov 2022 13:07:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52332 Mon 09 Oct 2023 14:49:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:55070 Mon 08 Apr 2024 13:27:57 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:51408 Mon 04 Sep 2023 14:53:10 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:51407 Mon 04 Sep 2023 14:51:07 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53544 Mon 04 Dec 2023 15:58:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:45412 Fri 28 Oct 2022 12:25:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:45416 Fri 28 Oct 2022 10:03:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:46439 Fri 25 Nov 2022 15:28:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:46436 Fri 25 Nov 2022 12:43:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:46535 Fri 25 Nov 2022 11:04:57 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38991 Healthy Youngsters, Healthy Dads, on change in dietary intake in fathers and their preschool-aged children post-intervention (10 weeks) and at 9 months follow-up compared to a waitlist control group and (ii) investigate associations in father-child dietary intakes. Methods: Linear mixed models estimated group-by-time effects for all dietary outcomes, measured by food frequency questionnaires. Cohen's d determined effect sizes, while correlation tests determined associations in father-child dietary intakes. Results: For children, medium group-by-time effects sizes were identified at 10 weeks for sodium intake (d = 0.38) and percentage energy from core foods (d = 0.43), energy-dense, nutrient-poor (EDNP) foods (d = 0.43) and prepacked snacks (d = 0.45). These findings were sustained at 9 months follow-up. For fathers, medium to large, group-by-time effect sizes were identified at 10 weeks for energy intake (d = 0.55), sodium intake (d = 0.64) and percentage energy from core foods (d = 0.49), EDNP foods (d = 0.49), and confectionary (d = 0.36). For all of these dietary variables, except sodium, effects were sustained at 9 months. Moderate to strong associations existed in father-child dietary intakes for some of the dietary variables. Conclusions: Although further research is required, this study provides preliminary support for targeting fathers as agents of change to improve dietary intakes in their preschool-aged children.]]> Fri 25 Mar 2022 15:52:33 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:40335 Fri 22 Jul 2022 14:44:35 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53130 Fri 17 Nov 2023 11:58:06 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:53069 50% of their time working with individuals with overweight/obesity, usually in private practice (47%). Two thirds of respondents had accessed best practice guidelines, but only 12% had completely read best practice guidelines. General healthy eating was the most frequent dietary approach used (77%). Seventy-five percent (n = 56) of dietitians reported that dietary interventions were selected based on client preference. Almost half of dietitians rated their knowledge and level of skill in management of obesity as good. Approximately 60% (n = 41) dietitians reported their skill gap was related to providing behavioural therapy/counselling. Results of the current survey indicate that use of best practice guidelines is low. However, dietitians surveyed reported that they had a good understanding of obesity management and choose a client centred approach to management, which is in line with current recommendations. Professional development activities, particularly regarding behavioural counselling are of particular interest to dietitians working with individuals with obesity.]]> Fri 17 Nov 2023 11:46:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:39683 Fri 17 Jun 2022 15:46:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:47239 Fri 16 Dec 2022 12:15:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:51742 Fri 15 Sep 2023 18:14:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:48894 Fri 14 Apr 2023 15:39:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:47282 Fri 13 Jan 2023 10:24:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:47286 Fri 13 Jan 2023 10:24:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:49374 Fri 12 May 2023 14:13:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:49373 6-month follow-up. Results: From 21 582 manuscripts identified, 107 RCT were included. Universities were the most common recruitment setting used in eighty-four studies (79 %). Less than half (46 %) of the studies provided sufficient information to evaluate whether individual recruitment strategies met sample size goals, with 77 % successfully achieving recruitment targets. Reporting for retention was slightly better with 69 % of studies providing sufficient information to determine whether individual retention strategies achieved adequate retention rates. Of these, 65 % had adequate retention. Conclusions: This review highlights poor reporting of recruitment and retention information across trials. Findings may not be applicable outside a university setting. Guidance on how to improve reporting practices to optimise recruitment and retention strategies within young adults could assist researchers in improving outcomes.]]> Fri 12 May 2023 13:45:28 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:39083 1=.778 ). As for data preprocessing, results show that applying a consecutive combination of mirroring, removing gravity effect, and standardization was beneficial for model performance, while smoothing had adverse effects. We further investigate the effectiveness of using different combinations of sensor modalities (i.e., accelerometer and/or gyroscope) and sensor positions (i.e., dominant intake hand and/or non-dominant intake hand).]]> Fri 06 May 2022 15:21:38 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:49175 Fri 05 May 2023 15:37:46 AEST ]]> https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:51339 Fri 01 Sep 2023 13:35:37 AEST ]]>