Courtney Barnes

Ms. Courtney Barnes


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 November 2021 in Nutrients
Verified
Journal Article
Open access
PDF file
KOKate Maree O'Brien
Kate Maree O'Brien
CBCourtney Barnes
Courtney Barnes
Serene YoongSerene Yoong
Serene Yoong
ECElizabeth Campbell
Elizabeth Campbell
RWRebecca Wyse
Rebecca Wyse
RHRebecca K. Hodder
Rebecca K. Hodder
Schools are identified as a key setting to influence children’s and adolescents’ healthy eating. This umbrella review synthesised evidence from systematic reviews of school-based nutrition interventions designed to improve dietary intake outcomes in children aged 6 to 18 years. We undertook a systematic search of six electronic databases and grey literature to identify relevant reviews of randomized controlled trials. The review findings were categorised for synthesis by intervention type according to the World Health Organisation Health Promoting Schools (HPS) framework domains: nutrition education; food environment; all three HPS framework domains; or other (not aligned to HPS framework domain). Thirteen systematic reviews were included. Overall, the findings suggest that school-based nutrition interventions, including nutrition education, food environment, those based on all three domains of the HPS framework, and eHealth interventions, can have a positive effect on some dietary outcomes, including fruit, fruit and vegetables combined, and fat intake. These results should be interpreted with caution, however, as the quality of the reviews was poor. Though these results support continued public health investment in school-based nutrition interventions to improve child dietary intake, the limitations of this umbrella review also highlight the need for a comprehensive and high quality systematic review of primary studies.

3 June 2021 in Translational Behavioral Medicine
Verified
Journal Article
Open access
PDF file
CBCourtney Barnes
Courtney Barnes
SMSam McCrabb
Sam McCrabb
FSFiona Stacey
Fiona Stacey
NNNicole Nathan
Nicole Nathan
SYSze Lin Yoong
Sze Lin Yoong
LWLuke Wolfenden
Luke Wolfenden
Although best practice recommendations exist regarding school-based healthy eating and physical activity policies, practices, and programs, research indicates that implementation is poor. As the field of implementation science is rapidly evolving, an update of the recent review of strategies to improve the implementation of healthy eating and physical activity interventions in schools published in the Cochrane Library in 2017 was required. The primary aim of this review was to examine the effectiveness of strategies that aim to improve the implementation of school‐based policies, practices, or programs to address child diet, physical activity, or obesity. A systematic review of articles published between August 31, 2016 and April 10, 2019 utilizing Cochrane methodology was conducted. In addition to the 22 studies included in the original review, eight further studies were identified as eligible. The 30 studies sought to improve the implementation of healthy eating (n = 16), physical activity (n = 11), or both healthy eating and physical activity (n = 3). The narrative synthesis indicated that effect sizes of strategies to improve implementation were highly variable across studies. For example, among 10 studies reporting the proportion of schools implementing a targeted policy, practice, or program versus a minimal or usual practice control, the median unadjusted effect size was 16.2%, ranging from –0.2% to 66.6%. Findings provide some evidence to support the effectiveness of strategies in enhancing the nutritional quality of foods served at schools, the implementation of canteen policies, and the time scheduled for physical education.

30 June 2021 in Nutrients
Verified
Journal Article
Open access
PDF file
RWRebecca Wyse
Rebecca Wyse
JJJacklyn Jackson
Jacklyn Jackson
TDTessa Delaney
Tessa Delaney
AGAlice Grady
Alice Grady
FSFiona Stacey
Fiona Stacey
Serene YoongSerene Yoong
Serene Yoong
Digital food environments are now commonplace across many food service and retail settings, influencing how the population orders and accesses foods. As such, digital food environments represent a novel platform to deliver strategies to improve public health nutrition. The purpose of this review was to explore the impact of dietary interventions embedded within online food ordering systems, on user selection and purchase of healthier foods and beverages. A systematic search of eight electronic databases and grey literature sources was conducted up to October 2020. Eligible studies were randomized controlled trials and controlled trials, designed to encourage the selection and purchase of healthier products and/or discourage the selection and purchase of less-healthy products using strategies delivered via real-world online food ordering systems. A total of 9441 articles underwent title and abstract screening, 140 full-text articles were assessed for eligibility, and 11 articles were included in the review. Meta-analysis of seven studies indicated that interventions delivered via online food ordering systems are effective in reducing the energy content of online food purchases (standardized mean difference (SMD): −0.34, p = 0.01). Meta-analyses including three studies each suggest that these interventions may also be effective in reducing the fat (SMD: −0.83, p = 0.04), saturated fat (SMD: −0.7, p = 0.008) and sodium content (SMD: −0.43, p = 0.01) of online food purchases. Given the ongoing growth in the use of online food ordering systems, future research to determine how we can best utilize these systems to support public health nutrition is warranted.

19 December 2023 in Journal of Medical Internet Research
Verified
Journal Article
Open access
AGAlice Grady
Alice Grady
NPNicole Pearson
Nicole Pearson
HLHannah Lamont
Hannah Lamont
LLLucy Leigh
Lucy Leigh
LWLuke Wolfenden
Luke Wolfenden
Serene YoongSerene Yoong
Serene Yoong
Background: Digital health interventions (DHIs) are effective in improving poor nutrition, physical inactivity, overweight and obesity. There is evidence suggesting that the impact of DHIs may be enhanced by improving user engagement. However, little is known about the overall effectiveness of strategies on engagement with DHIs. Objective: This study aims to assess the overall effectiveness of strategies to improve engagement with DHIs targeting nutrition, physical activity, and overweight or obesity and explore associations between strategies and engagement outcomes. The secondary aim was to explore the impact of these strategies on health risk outcomes. Methods: The MEDLINE, Embase, PsycINFO, CINAHL, CENTRAL, Scopus, and Academic Source Complete databases were searched up to July 24, 2023. Eligible studies were randomized controlled trials that evaluated strategies to improve engagement with DHIs and reported on outcomes related to DHI engagement (use or user experience). Strategies were classified according to behavior change techniques (BCTs) and design features (eg, supplementary emails). Multiple-variable meta-analyses of the primary outcomes (usage and user experience) were undertaken to assess the overall effectiveness of strategies. Meta-regressions were conducted to assess associations between strategies and use and user experience outcomes. Synthesis of secondary outcomes followed the “Synthesis Without Meta-Analysis” guidelines. The methodological quality and evidence was assessed using the Cochrane risk-of-bias tool, and the Grading of Recommendations Assessment, Development, and Evaluation tool respectively. Results: Overall, 54 studies (across 62 publications) were included. Pooled analysis found very low-certainty evidence of a small-to-moderate positive effect of the use of strategies to improve DHI use (standardized mean difference=0.33, 95% CI 0.20-0.46; P<.001) and very low-certainty evidence of a small-to-moderate positive effect on user experience (standardized mean difference=0.29, 95% CI 0.07-0.52; P=.01). A significant positive association was found between the BCTs social support (effect size [ES]=0.40, 95% CI 0.14-0.66; P<.001) and shaping knowledge (ES=0.39, 95% CI 0.03-0.74; P=.03) and DHI use. A significant positive association was found among the BCTs social support (ES=0.70, 95% CI 0.18-1.22; P=.01), repetition and substitution (ES=0.29, 95% CI 0.05-0.53; P=.03), and natural consequences (ES=0.29, 95% CI 0.05-0.53; P=.02); the design features email (ES=0.29, 95% CI 0.05-0.53; P=.02) and SMS text messages (ES=0.34, 95% CI 0.11-0.57; P=.01); and DHI user experience. For secondary outcomes, 47% (7/15) of nutrition-related, 73% (24/33) of physical activity–related, and 41% (14/34) of overweight- and obesity-related outcomes reported an improvement in health outcomes. Conclusions: Although findings suggest that the use of strategies may improve engagement with DHIs targeting such health outcomes, the true effect is unknown because of the low quality of evidence. Future research exploring whether specific forms of social support, repetition and substitution, natural consequences, emails, and SMS text messages have a greater impact on DHI engagement is warranted. Trial Registration: PROSPERO CRD42018077333; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=77333

4 February 2020 in Journal of Medical Internet Research
Verified
Journal Article
Open access
AGAlice Grady
Alice Grady
LWLuke Wolfenden
Luke Wolfenden
JWJohn Wiggers
John Wiggers
CRChris Rissel
Chris Rissel
MFMeghan Finch
Meghan Finch
Serene YoongSerene Yoong
Serene Yoong
Background: Foods provided in childcare services are not consistent with dietary guideline recommendations. Web-based systems offer unique opportunities to support the implementation of such guidelines. Objective: This study aimed to assess the effectiveness of a Web-based menu planning intervention in increasing the mean number of food groups on childcare service menus that comply with dietary guidelines. Secondary aims were to assess the impact of the intervention on the proportion of service menus compliant with recommendations for (1) all food groups; (2) individual food groups; and (3) mean servings of individual food groups. Childcare service use and acceptability of the Web-based program were also assessed. Methods: A single-blind, parallel-group randomized controlled trial was undertaken with 54 childcare services in New South Wales, Australia. Services were randomized to a 12-month intervention or usual care control. Intervention services received access to a Web-based menu planning program linked to their usual childcare management software system. Childcare service compliance with dietary guidelines and servings of food groups were assessed at baseline, 3-month follow-up, and 12-month follow-up. Results: No significant differences in the mean number of food groups compliant with dietary guidelines and the proportion of service menus compliant with recommendations for all food groups, or for individual food groups, were found at 3- or 12-month follow-up between the intervention and control groups. Intervention service menus provided significantly more servings of fruit (P<.001), vegetables (P=.03), dairy (P=.03), and meat (P=.003), and reduced their servings of discretionary foods (P=.02) compared with control group at 3 months. This difference was maintained for fruit (P=.03) and discretionary foods (P=.003) at 12 months. Intervention childcare service staff logged into the Web-based program an average of 40.4 (SD 31.8) times and rated the program as highly acceptable. Conclusions: Although improvements in childcare service overall menu and individual food group compliance with dietary guidelines were not statistically significant, findings indicate that a Web-based menu planning intervention can improve the servings for some healthy food groups and reduce the provision of discretionary foods. Future research exploring the effectiveness of differing strategies in improving the implementation of dietary guidelines in childcare services is warranted. Trial Registration: Australian New Zealand Clinical Trial Registry (ANZCTR): 16000974404; http://www.anzctr.org.au/ACTRN12616000974404.aspx

1 December 2021 in Preventive Medicine
Verified
Journal Article
Open access
CBCourtney Barnes
Courtney Barnes
AHAlix Hall
Alix Hall
NNNicole Nathan
Nicole Nathan
RSRachel Sutherland
Rachel Sutherland
NMNicole McCarthy
Nicole McCarthy
LWLuke Wolfenden
Luke Wolfenden
Despite the benefits of factorial designs in quantifying the relative benefits of different school-based approaches to prevent unhealthy weight gain among students, few have been undertaken. The aims of this 2 × 2 cluster randomized factorial trial was to evaluate the impact of a physical activity and nutrition intervention on child weight status and quality of life. Twelve primary schools in New South Wales, Australia randomly allocated to one of four groups: (i.) physical activity (150 min of planned in-school physical activity); (ii.) nutrition (a healthy school lunch-box); (iii.) combined physical activity and nutrition; or (iv.) control. Outcome data assessing child weight and quality of life were collected at baseline and 9-months post-baseline. Within Grades 4-6 in participating schools, 742 students participated in anthropometric measurements, including child body mass index (BMI) and waist circumference, at baseline and follow-up. Findings indicated that students that received the nutrition intervention had higher odds of being classified in the BMI category of underweight/healthy weight (OR 1.64 95%CI 1.07, 2.50; p = 0.0220), while those who received the physical activity intervention reported a lower waist circumference (mean difference - 1.86 95%CI -3.55, -0.18; p = 0.030). There were no significant effects of the nutrition or physical activity intervention on child BMI scores or child quality of life, and no significant synergistic effects of the two interventions combined. Future research assessing the longer-term impact of both intervention strategies, alone and combined, is warranted to better understand their potential impact on child health. TRIAL REGISTRATION: Australian Clinical Trials Registry ACTRN: ACTRN12616001228471.