https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 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:40446 Wed 28 Feb 2024 14:57:57 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37760 Wed 28 Feb 2024 14:54:07 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:42924 Wed 24 May 2023 12:50:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35197 Wed 24 May 2023 12:06:57 AEST ]]> 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:30403 Wed 11 Apr 2018 17:15:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25682 Wed 11 Apr 2018 15:52:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15546 Wed 11 Apr 2018 15:46:26 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:13788 Wed 11 Apr 2018 14:17:57 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:15548 Wed 11 Apr 2018 12:56:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13796 Wed 11 Apr 2018 12:52:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13780 Wed 11 Apr 2018 10:43:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21677 Wed 11 Apr 2018 10:20:05 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:50845 Wed 09 Aug 2023 09:17:57 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38157  3 months. Conclusions: Although differences in outcome effectiveness were identified between gender-targeted and gender-neutral studies, these were not significantly different. This is likely due to an insufficient number of studies to detect a difference. The meta-analysis for fruit and vegetable intake findings should be interpreted with caution due to including only two gender-targeted studies. The findings collectively are suggestive of a potential difference requiring further investigation. To truly determine the effectiveness of gender-targeted interventions, well-designed RCTs comparing gender-targeted interventions with gender-neutral and control are needed. Registration: This systematic review is a secondary analysis of studies included in a systematic review examining the effectiveness of interventions targeting nutrition, physical activity, or overweight/obesity in young adults, for which a predefined protocol was registered with PROSPERO (CRD42017075795).]]> Wed 04 Aug 2021 18:23:54 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:31148 Wed 02 Oct 2019 10:20:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20311 Wed 02 Oct 2019 10:17:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43654 p < 0.001) and more frequent purchase (β = 18.041, p < 0.001 for ≥4 times a week vs. never) of food/drinks on campus. Diet quality was not significantly associated with purchase frequency or expenditure (p > 0.05). Findings are supportive of changes being made to university food environments, as a strategy to improve dietary intake among university students.]]> Tue 27 Sep 2022 14:25:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47675 -2 ) and there was no significant difference in mean Body Mass Index between rural and urban women. Measures of central fat distribution, waist circumference and waist-to-hip ratio were significantly higher in rural residents. Visceral fat area was significantly higher among rural women. After adjustment for age, differences in waist circumference, waist-to-hip ratio and visceral fat area were no longer statistically significant. Conclusion: While we did not find statistically significant differences in body composition among urban and rural women, these results highlight the dramatic effect of age on measures of central adiposity. Population surveillance needs to incorporate measures of excess central adiposity, particularly visceral fat area, to better investigate changes in body composition among women in their 20s and 30s.]]> Tue 24 Jan 2023 16:01:36 AEDT ]]> 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:30162 Tue 02 Apr 2019 10:06:44 AEDT ]]> 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:34460 Thu 28 Oct 2021 13:03:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41189 Thu 28 Jul 2022 11:12:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45344 1 cup of soft drink/week (β = −0.307), having takeaway foods ≥1 time/week (β = −0.130), not consuming breakfast daily (β = −0.261), not meeting sleep recommendations (β = −0.163), exceeding single occasion alcohol consumption risk (β = −0.277), smoking (β = −0.393), and having a higher number of risk factors (β = −0.105). This study identified modest associations between GPA and health risk behaviours, suggesting that further research is warranted into whether strategies to improve university students’ health could modestly improve their academic achievement.]]> Thu 27 Oct 2022 15:19:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37872 Thu 27 May 2021 15:52:03 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:48874 Thu 13 Apr 2023 11:37:46 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:30380 Thu 03 Oct 2019 13:28:54 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38633 Thu 02 Dec 2021 15:37:24 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49224 Sun 07 May 2023 09:44:06 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14502 Sat 24 Mar 2018 08:21:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14616 2, females 41.3 years, 24.0 kg/m². Reproducibility was assessed over six months using Wilcoxon signed-rank tests and comparative validity was assessed by intraclass correlation coefficients (ICC) estimated by fitting a mixed effects model for each nutrient to account for age, sex and BMI to allow estimation of between and within person variance. Results: Reproducibility was found to be good for both WFR and FFQ since there were no significant differences between round 1 and 2 administrations. For comparative validity, FFQ ICCs were at least as large as those for WFR. The ICC of the WFR-FFQ difference for total energy intake was 0.6 (95% CI 0.43, 0.77) and the median ICC for all nutrients was 0.47, with all ICCs between 0.15 (%E from saturated fat) and 0.7 (g/day sugars). Conclusions: Compared to WFR the AES FFQ is suitable for reliably estimating the dietary intakes of Australian adults across a wide range of nutrients.]]> Sat 24 Mar 2018 08:20:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16025 0.05). In the online group there was an increase in %energy from core foods and decrease in %energy from energy-dense nutrient-poor foods (P < 0.05) that was significantly different compared to controls at 3 and 6 months (P < 0.05). Conclusion: Results suggest that men randomised to the SHED-IT intervention arms were able to implement key dietary messages up to 6 months compared to controls. Future interventions should include targeted and gender-tailored messages as a strategy to improve men's dietary intake within weight loss interventions.]]> Sat 24 Mar 2018 08:19:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17872 Sat 24 Mar 2018 07:56:12 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:28331 Sat 24 Mar 2018 07:25:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23654 Sat 24 Mar 2018 07:17:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23924 Sat 24 Mar 2018 07:10:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44133 3 months. There were no differences between interventions focusing on weight loss or weight-gain prevention. Narrative synthesis showed significant between-group differences in weight change, favouring the intervention in 14/43 (33%) studies. In studies assessing BMI and waist circumference, this was 31% (11/36) and 25% (4/16). Two BCTs had a percentage effectiveness ratio >50% in weight loss interventions; social support (unspecified) and self-monitoring behaviour, and one in weight-gain prevention interventions; and goal-setting (outcome). Findings demonstrate initial potential for these types of BCTs and can help build cumulative evidence towards delivering effective, cost-efficient, and replicable interventions.]]> Sat 08 Oct 2022 12:36:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32853 Mon 30 Sep 2019 11:50:18 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:32769 Mon 23 Sep 2019 11:36:52 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: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:46290 Mon 14 Nov 2022 16:30:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50585 Fri 28 Jul 2023 16:14:52 AEST ]]> 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:35699 3 months when compared to control. A meta-analysis (n = 5) on total energy intake found no significant differences between groups. The BCTs with the highest effectiveness ratio were habit formation (100%), salience of consequences (83%) and adding objects to the environment (70%). The review highlights the potential of behavioural interventions to improve young adults’ fruit and vegetable intake but was less convincing for other dietary outcomes. Due to the lack of studies including each BCT, the BCTs imperative to success could not be identified.]]> Fri 25 Oct 2019 13:13:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35697 Fri 25 Oct 2019 12:59:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27363 Fri 25 Mar 2022 15:38:33 AEDT ]]> 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: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:40336 Fri 08 Jul 2022 10:05:40 AEST ]]>