https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27497 Wed 31 Jul 2019 09:42:43 AEST ]]> 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:48707 Wed 29 Mar 2023 15:32:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47702 n = 2), Indonesia (n = 1), and Kenya (n = 1). All articles evaluated the use of nutrient supplements; iron supplements (n = 1), vitamin supplements (composition not mentioned; n = 1), or calcium supplements (n = 1). This review suggests that mHealth interventions can be used to improve intake of micronutrient supplementation and nutritional status of pregnant women in LLMIC. Further studies are needed to address the limited evidence base related to mHealth nutrition interventions targeting dietary intakes of pregnant women in LLMIC.]]> Wed 28 Feb 2024 14:53:59 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:32227 Wed 27 Apr 2022 14:46:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45104 Wed 26 Oct 2022 13:16:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45058 n = 46 RCTs, n = 2 systematic reviews), preventing postpartum weight retention (n = 18 RCTs) or a combination of the two (n = 14 RCTs, n = 1 systematic review). The RCTs predominantly evaluated interventions that aimed to change both diet and physical activity behaviors (n = 84) and were delivered in-person (n = 85). Conclusions: This scoping review identified an increasing volume of research over time undertaken to support women of childbearing age to prevent and treat overweight and obesity. It highlights, however, that little research is being undertaken to support the young adult female population unrelated to pregnancy or preconception.]]> Wed 26 Oct 2022 12:08:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44673 Wed 19 Oct 2022 14:29:24 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38719 Wed 19 Jan 2022 08:47:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36144 Wed 17 Nov 2021 16:20:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32350 Wed 15 Dec 2021 16:07:57 AEDT ]]> 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:35856 Wed 11 Dec 2019 14:51:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30403 Wed 11 Apr 2018 17:15:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29727 P<.001) and all selected micronutrients (iron, calcium, zinc, folate, and iodine, ρ range .510-.955, all P<.05), both with and without vitamin and mineral supplements included in the analysis. Cohen kappa showed moderate to substantial agreement for selected micronutrients when supplements were included (kappa range .488-.803, all P ≤.001) and for calcium, iodine, and zinc when excluded (kappa range .554-.632, all P<.001). A total of 17 women reported changing their diet as a result of the personalized nutrition advice. Conclusions: The SNaQ tool demonstrated acceptable validity for assessing adequacy of key pregnancy nutrient intakes and preliminary evidence of utility to support dietitians in providing women with personalized advice to optimize nutrition during pregnancy.]]> Wed 11 Apr 2018 16:51:52 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22735 Wed 11 Apr 2018 15:22:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30200 Wed 11 Apr 2018 14:51:59 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15463 Wed 11 Apr 2018 13:43:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26539 Wed 11 Apr 2018 13:23:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20530 Wed 11 Apr 2018 13:07:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26853 Wed 11 Apr 2018 10:14:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30201 Wed 09 Mar 2022 15:59:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49065 Wed 03 May 2023 16:01:34 AEST ]]> 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:28149 Wed 02 Oct 2019 10:21:06 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27292 Wed 02 Oct 2019 10:20:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30432 0.89, p < 0.001) and between nutrient profile scores (Rs > 0.75, p < 0.001). However, mean perceptions significantly differed for 18 out of 20 foods with the largest difference for yoghurts (p < 0.05). There are discrepancies between expert and lay perceptions of snack foods and the definition of the term “nutritious”. The results highlight the need for an agreed definition and the potential regulation of the term “nutritious” in food marketing.]]> Wed 02 Oct 2019 10:18:25 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30434 Wed 02 Oct 2019 10:17:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25772 Wed 02 Oct 2019 10:16:01 AEST ]]> 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:49175 Tue 30 Apr 2024 09:33:20 AEST ]]> 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:39346 Tue 14 May 2024 08:37:30 AEST ]]> 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:42877 Tue 06 Sep 2022 10:34:20 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34974 Tue 03 Sep 2019 18:17:52 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34433 Tue 03 Sep 2019 18:17:07 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51339 Thu 30 May 2024 10:58:39 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39945 Thu 30 Jun 2022 14:22:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39931 p < 0.05) between-group differences in dietary changes favored the high personalization group for total ARFS (5.6 points (95% CI 1.3 to 10.0)) and ARFS sub-scales of meat (0.9 points (0.4 to 1.6)), vegetarian alternatives (0.8 points (0.1 to 1.4)), and dairy (1.3 points (0.3 to 2.3)). Additional significant changes in favor of the high personalization group occurred for proportion of energy intake derived from energy-dense, nutrient-poor foods (-7.2% (-13.8% to -0.5%)) and takeaway foods sub-group (-3.4% (-6.5% to 0.3%). Significant within-group changes were observed for 12 dietary variables in the high personalization group vs one variable for low personalization. A higher level of personalized support combining the AES report with one-on-one dietitian video calls and dietary self-monitoring resulted in greater dietary change compared to the AES report alone. These findings suggest nutrition-related web and mobile technologies in combination with personalized dietitian delivered advice have a greater impact compared to when used alone.]]> Thu 30 Jun 2022 13:19:32 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:27496 Thu 21 Oct 2021 12:51:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29487 Thu 17 Feb 2022 09:31:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48432 Thu 16 Mar 2023 14:17:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38697 Thu 13 Jan 2022 14:41:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48844 Thu 13 Apr 2023 09:45:53 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49328 Thu 11 May 2023 15:00:04 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:31193 Sat 24 Mar 2018 08:42:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27127 Sat 24 Mar 2018 07:41:34 AEDT ]]> https://nova.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://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29530 Sat 24 Mar 2018 07:32:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28331 Sat 24 Mar 2018 07:25:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32354 Mon 30 Sep 2019 13:54:54 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:30842 5 years. Forty-five percent of patients were classified as obese (BMI ≥ 30 kg/m2, mean (SD) BMI was 31 ± 7 kg/m2), with a mean waist circumference of 104 ± 19.4 cm (SD). The most frequent patient nominated treatment goals related to physical activity (39%), followed by nutritional goals (23%). Traditionally, pain management programs have included physical, psychosocial, and medical, but not nutritional, interventions. By contrast, patients identified and reported important nutrition-related treatment goals. There is a need to test nutrition treatment pathways, including an evaluation of dietary intake and nutrition support. This will help to optimize dietary behaviors and establish nutrition as an important component of multidisciplinary chronic pain management.]]> Mon 26 Sep 2022 14:38:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32815 Mon 23 Sep 2019 10:19:00 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39176 P <.05. Results: Older respondents and females reported higher levels of both cooking and food skills confidence compared to younger and male participants, all P <.001. Cooking and food skills confidence scores were highly correlated (r =.70, P <.001), but weakly correlated with ARFS (r =.22, P <.001; r =.31, P <.001, respectively). Participants with higher diet quality scores had greater cooking and food skills confidence and they consumed less takeaway food (P <.001 and P =.006, respectively). Sixteen percent of the variance in ARFS was accounted for, with age, sex, food creativity and food skills confidence contributing the most variability. Conclusions: Strategies to improve food skills confidence could potentially enhance diet quality and variety to a greater degree than focusing on cooking skills alone. However, development of both skills sets should be encouraged within education programs and targeted to differing aspects of diet quality. Tailoring interventions to specific population groups with low confidence in their skills, including younger adults and males, may facilitate individuals in making healthy food choices.]]> Mon 23 May 2022 14:54:04 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:37432 Mon 16 Nov 2020 17:04:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41231 Fri 29 Jul 2022 13:41:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45468 Fri 28 Oct 2022 14:30:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35707 TM application (mFR^TM) and assessed to formulate two tailored feedback text messages on fruit and vegetables and energy-dense nutrient-poor (EDNP) foods and beverages. At 6-months 143 participants completed a second mFR^TM and a questionnaire evaluating the dietary feedback. Participants who agreed the text messages made them think about how much vegetables they ate were more likely to increase their intake by at least half a serve than those who disagreed [odds ratio (OR) = 4.28, 95% Confidence Interval (CI): 1.76 to 10.39]. Those who agreed the text messages made them think about how much EDNP foods they ate, were twice as likely to decrease their intake by over half a serve (OR = 2.39, 95%CI: 1.12 to 5.25) than those who disagreed. Undertaking detailed dietary assessment ensured the tailored feedback was constructive and relevant. Personal contemplation about vegetable and EDNP food intake appears to be a mediator of dietary change in young adults.]]> Fri 25 Oct 2019 15:05:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35694 Fri 25 Oct 2019 12:31:21 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:29922 Fri 24 Aug 2018 09:03:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30165 Fri 14 Aug 2020 14:34:00 AEST ]]> 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:36859 Fri 10 Jul 2020 19:14:42 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:29549 Fri 03 Dec 2021 10:33:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36380 Fri 03 Apr 2020 16:45:31 AEDT ]]>