https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33455 Healthy Dads, Healthy Kids” randomized controlled trials, which tested the efficacy and effectiveness of a socio-culturally targeted program that engages fathers to improve their own health and the health of their children. The paper concludes with a series of recommendations for recruiting and engaging fathers and a summary of directions for future research.]]> Wed 31 Aug 2022 09:54:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43613 Wed 28 Jun 2023 14:17:51 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40460 Wed 27 Jul 2022 11:50:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47701 d = 0.6), when compared with controls. Intervention daughters were also more likely to show clinically meaningful improvements in well-being (54%) than controls (18%). Medium-to-large effects were observed for: seven of eight social-emotional competencies (e.g., personal responsibility, d = 0.4-0.9), father-daughter relationship quality (d = 0.8, father-report; d = 0.5, daughter-report), daughters' prosocial behavior (d = 0.3) and several indicators of father involvement. Most outcomes had improved by 9 months. No effects were observed for daughters' emotional difficulties or global self-perception. Conclusions: This study provided the first experimental evidence that father-daughter physical activity programs may improve girls' well-being and the father-daughter relationship.]]> Wed 25 Jan 2023 10:06:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48953 Wed 19 Apr 2023 12:42:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35716 Wed 17 Jun 2020 11:10:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24278 Wed 11 Apr 2018 18:17:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15776 Wed 11 Apr 2018 16:59:53 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9374 Wed 11 Apr 2018 16:18:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22735 Wed 11 Apr 2018 15:22:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13548 Wed 11 Apr 2018 15:16:53 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14180 Wed 11 Apr 2018 15:03:10 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30200 Wed 11 Apr 2018 14:51:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23076 SHED-IT Weight Loss Program were randomly allocated to receive (1) the SCT-based SHED-IT WLM Program; or (2) no additional resources (self-help control group). The 6-month gender-tailored SHED-IT WLM Program was completely self-administered and operationalized SCT behaviour change principles to assist men to increase moderate-to-vigorous physical activity (MVPA) and decrease energy-dense, nutrient-poor (discretionary) food consumption after initial weight loss. After randomization (WLM baseline), men were reassessed at 6 months (WLM post-test) and 12 months (6-month WLM follow-up). SCT cognitions (e.g., self-efficacy, goal setting), MVPA, and discretionary food consumption were assessed with validated measures. Results: Following significant improvements in cognitions, MVPA and discretionary food consumption during the weight loss phase, intention-to-treat, linear mixed models revealed no significant group-by-time differences in cognitions or behaviours during the WLM phase. Initial improvements in MVPA and some cognitions (e.g., goal setting, planning, and social support) were largely maintained by both groups at the end of the study. Dietary effects were not as strongly maintained, with the intervention and control groups maintaining 57% and 75% of the Phase I improvements in discretionary food intake, respectively. Conclusions: An additional SCT-based WLM programme did not elicit further improvements over a self-help control in the cognitions or behaviours for MVPA or discretionary food intake of men who had lost weight with a SCT-based weight loss programme.]]> Wed 11 Apr 2018 14:32:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13785 2, ≥ 30 kg/m²). Assessments occurred at 'study entry' (start of Phase I), 'baseline' (start of Phase II), '6 months' (post-test) and will occur at '12 months' (follow-up; primary endpoint). The primary outcome is weight change in Phase II (i.e. from 'baseline' at 12 months after randomization). Secondary outcomes include waist circumference (umbilicus and narrowest), blood pressure, body composition, objectively measured physical activity, sedentary time, portion size, dietary intake, quality of life, depressive symptoms, and behavioural cognitions. Costing data will be collected for cost-effectiveness analysis. Generalised linear mixed models (intention-to-treat) will assess outcomes for treatment (maintenance vs. control), time (baseline, 6-month and 12-month) and the treatment-by-time interaction. This will be the first study to evaluate a male-only, gender-targeted weight loss maintenance program. Results will provide evidence regarding feasible and theoretically-driven obesity treatments for men with potential for long-term impact and widespread dissemination.]]> Wed 11 Apr 2018 13:39:49 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15547 Wed 11 Apr 2018 10:43:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22686 2] assessed at baseline, 3 months (post-test) and 6 months (follow-up). Results: In an intention-to-treat, multiple-mediator model, the significant intervention effect on weight at 6 months (-3.70 kg; p < 0.001) was mediated by increases in physical activity (steps/day) and decreases in takeaway meals (kJ/day) and portion size at 3 months. The largest mediation effect was for physical activity (-0.6 kg; 95% confidence interval -1.4, -0.1). Overall, the targeted mediators accounted for 47.0% of the intervention's effect on weight. Conclusion: Step counts, takeaway food consumption, and portion sizes may be key areas to target in future weight loss programs for men (ACTRN12610000699066).]]> Wed 11 Apr 2018 09:15:52 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30381 Wed 09 Feb 2022 15:55:43 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25400 Wed 06 Apr 2022 14:05:22 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25739 Wed 02 Oct 2019 10:16:17 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54055 2 to lose weight and positively influence physical activity and dietary behaviors of their children. There is a need to better understand the broader impact of father-focused, healthy lifestyle programs from the perspectives of other family members. This qualitative study explored the impact of a HDHK by gathering insights from the family unit (fathers, mothers/partners and children). Fathers and children who participated in the HDHK dissemination trial from the Maitland local government area (New South Wales, Australia) (n = 33) and all mothers/partners of participating HDHK were invited to take part in this qualitative study. Eleven focus groups were undertaken with 25 fathers (41.9 ± 6.3 years, 32.4 ± 5.1 kg/m2), 15 mothers/partners’ (38.1 ± 6.6 years), and 41 children (51% male, 8.2 ± 2.1 years). Audio recordings were transcribed and analyzed by an independent researcher using a standard general inductive approach to qualitative analysis with thematic analysis applied. Three key themes emerged, demonstrating several personal and family program impacts. These included a positive impact on: (i) the father-child relationship, (ii) new family habits (e.g., lifestyle changes within the family unit) and (iii) fathers’ involvement and parenting practices (e.g., increase in fathers’ household responsibilities). Improving the knowledge and skills of fathers and children through evidence-based strategies may be a useful approach to strengthen their relationship, enhance parenting strategies, and optimize health behaviors. Notably, findings showed the changes made by the fathers and children positively impacted the wider family unit.]]> Tue 30 Jan 2024 13:58:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53959 Tue 23 Jan 2024 12:32:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51139 Tue 22 Aug 2023 15:58:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48545 Tue 21 Mar 2023 15:23:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39906 SD) age: 41.4 (4.8) years) participated in semi-structured telephone interviews. Audio recordings were transcribed and analyzed by an independent researcher using a mixed inductive and deductive thematic approach. Seven themes were identified highlighting improvements in: (i) daughters’ social-emotional well-being, (ii) father involvement and engagement with their daughter, (iii) fathers’ parenting skills, (iv) the father–daughter relationship, (v) co-parenting, (vi) family relationship dynamics, and (vii) knowledge and understanding of gender stereotypes and gender bias. A number of strategies were also identified as to how the program improved these outcomes. Engaging fathers and daughters in physical activity programs may have substantive benefits for daughters’ mental health as well as broader outcomes for fathers and families. Enhancing fathers’ and daughters’ knowledge and skills through evidence-based strategies may be a useful approach to optimize the well-being of families.]]> Tue 05 Sep 2023 14:58:55 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55501 Tue 04 Jun 2024 20:54:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33756 Tue 03 Sep 2019 17:57:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34975 Tue 03 Sep 2019 17:57:22 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34487 Tue 03 Sep 2019 17:55:04 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33456 Thu 27 Jan 2022 15:56:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46228 Thu 23 Mar 2023 09:45:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39919 Thu 14 Jul 2022 12:18:18 AEST ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12896 Sat 24 Mar 2018 10:36:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15485 Sat 24 Mar 2018 08:21:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14524 Sat 24 Mar 2018 08:19:45 AEDT ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21334 P < .001, d= 0.24), with HDHK fathers losing more weight (- 3.3. kg; 95%CI, - 4.3, - 2.4) than control fathers (0.1. kg; 95%CI, - 0.9,1.0). Significant treatment effects (P < .05) were also found for fathers' waist (d= 0.41), BMI (d= 0.26), resting heart rate (d= 0.59), energy intake (d= 0.49) and physical activity (d= 0.46) and for children's physical activity (d= 0.50) and adiposity (d= 0.07). Discussion: HDHK significantly improved health outcomes and behaviors in fathers and children, providing evidence for program effectiveness when delivered in a community setting.]]> Sat 24 Mar 2018 07:52:48 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32880 Mon 23 Sep 2019 13:54:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25456 Mon 23 Sep 2019 12:57:08 AEST ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41524 n = 40) completed an Implicit Association Test and explicit attitude measures pre- and post-course. Focus group interviews were conducted with preservice and inservice teachers (n = 24). Preservice teachers reduced their negative implicit and explicit attitudes towards girls and activity. Preservice and inservice teachers also improved their awareness and gained skills to address gender-related issues in schools. Targeted teacher education courses have the potential to improve gender equity in schools.]]> Fri 05 Aug 2022 12:24:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30382 Fri 03 Dec 2021 10:34:10 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24091 50 years) and BMI category (25.0-29.9, 30.0-35.9, and 35.0-40 kg/m²) and individually randomized (1:1 ratio) to the intervention (n=53) or waitlist control groups (n=48). Intervention: The intervention group received the PULSE Program, which contained print and video resources on weight loss (Self-Help, Exercise and Diet using Internet Technology [SHED-IT] Weight Loss Program), diet modification, and exercise for Type 2 diabetes mellitus prevention. The waitlist control group received no information until 6 months. Main outcome measures: Data were collected from September 2012 to September 2013 and analyzed in 2014-2015. Linear mixed models (intention-to-treat) were used to determine group X time interactions (differences between groups in changes over time) at 6 months for the primary outcome (weight), glycated hemoglobin, and several secondary outcomes (significance level, p<0.05). Results: Differences between groups in mean changes from baseline to 6 months (group x time interaction) favored the intervention over control group for weight loss (-5.50 kg, 95% CI=-7.40 kg, -3.61 kg, p<0.001, Cohen's d=1.15), glycated hemoglobin (-0.2%, 95% CI=-0.3%, -0.1%, p=0.002, d=0.64), and BMI, waist circumference, body fat percentage, aerobic fitness, and lower body muscular fitness (all p<0.05). No group × time effects were observed for fasting plasma glucose, upper body muscular fitness, physical activity, or energy intake. Conclusions: The PULSE Program improved several Type 2 diabetes mellitus risk factors in men, including weight and glycated hemoglobin. These findings provide evidence for a self-administered and gender-tailored lifestyle intervention, which has potential for dissemination in community settings.]]> Fri 03 Dec 2021 10:33:45 AEDT ]]>