Shanna M Fealy

Dr. Shanna M Fealy


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 August 2019 in Nurse Education Today
Verified
Journal Article
Closed access
SFShanna M Fealy
Shanna M Fealy
DJDonovan Jones
Donovan Jones
AHAlison Hutton
Alison Hutton
KGKristen Graham
Kristen Graham
LMLiz McNeill
Liz McNeill
MHMichael Hazelton
Michael Hazelton

20 November 2017 in Nutrients
Verified
Journal Article
Open access
PDF file
RTRachael Taylor
Rachael Taylor
SFShanna M Fealy
Shanna M Fealy
ABAlessandra Bisquera
Alessandra Bisquera
RSRoger Smith
Roger Smith
CCClare Collins
Clare Collins
AHAlexis Hure
Alexis Hure
Background: Epidemiological studies have demonstrated that folate, iodine and iron intake during pregnancy impacts on foetal brain development and cognitive function. However, in human studies, the relationship with other dietary nutrients is less clear. Objective: This systematic review aims to critically appraise the current literature and meta-analyses results from nutritional interventions during pregnancy that aimed to optimise infant and child cognitive outcomes. Design: Ten electronic databases were searched for articles published up to August 2017. The search was limited to articles published in English. Randomised controlled trials (RCTs) testing the impact of any nutritional intervention (dietary counselling, education, nutrient supplementation, fortified foods and/or foods) during pregnancy on cognitive outcomes of children (<10 years old). Two independent reviewers assessed study eligibility and quality using the American Dietetic Association quality criteria checklist for primary research. Standardised mean differences were used for nine cognitive domains to measure effects for meta-analyses. Results: A total of 34 RCTs were included (21 studies included children aged less than 35 months, 10 studies included children aged 36–60 months and 3 studies included children aged 61–119 months). The types of nutritional interventions included nutrient supplements, whole foods, fortified foods and nutrition education. The following nine cognition outcomes: attention, behaviour, crystallised intelligence, fluid intelligence, global cognition, memory, motor skills, visual processing, and problem solving were not significantly impacted by nutritional interventions, although 65% of studies conducted post-hoc data analyses and were likely to be underpowered. Although, long chain polyunsaturated fatty acids (LCPUFA) supplementation was associated with a marginal increase in crystallised intelligence (Effect size (ES): 0.25; 95% confidence interval (95% CI): −0.04, 0.53), the effect was not statistically significant (p = 0.09), with significant study heterogeneity (p = 0.00). Conclusions: LCPUFA supplementation may be associated with an improvement in child crystallised intelligence, however further research is warranted. The remaining eight cognition domains were not significantly impacted by maternal nutritional interventions.

17 January 2017 in BMC Pregnancy and Childbirth
Verified
Journal Article
Open access
PDF file
SFShanna M Fealy
Shanna M Fealy
RTRachael M. Taylor
Rachael M. Taylor
MFMaralyn Foureur
Maralyn Foureur
JAJohn Attia
John Attia
LELyn Ebert
Lyn Ebert
AHAlexis Hure
Alexis Hure
Excessive gestational weight gain is associated with short and long-term adverse maternal and infant health outcomes, independent of pre-pregnancy body mass index. Weighing pregnant women as a stand-alone intervention during antenatal visits is suggested to reduce pregnancy weight gain. In the absence of effective interventions to reduce excessive gestational gain within the real world setting, this study aims to test if routine weighing as a stand-alone intervention can reduce total pregnancy weight gain and, in particular, excessive gestational weight gain. A systematic review and meta–analysis of randomised controlled trials (RCTs) was conducted between November 2014 and January 2016, and reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Seven databases were searched. A priori eligibility criteria were applied to published literature by at least two independent reviewers. Studies considered methodologically rigorous, as per the Academy of Nutrition and Dietetics Quality Criteria Checklist for Primary Research, were included. Meta-analysis was conducted using fixed-effects models. A total of 5223 (non-duplicated) records were screened, resulting in two RCTs that were pooled for meta-analysis (n = 1068 randomised participants; n = 538 intervention, n = 534 control). No difference in total weight gain per week was observed between intervention and control groups (weighted mean difference (WMD) -0.00 kg/week, 95% confidence interval (CI) -0.03 to 0.02). There was also no reduction in excessive gestational weight gain between intervention and control, according to pre-pregnancy body mass index (BMI). However, total weight gain was lower in underweight women (n = 23, BMI <18.5 kg/m2) in the intervention compared to control group (−0.12 kg/week, 95% CI −0.23 to −0.01). No significant differences were observed for other pregnancy, birth and infant outcomes. Weighing as a stand-alone intervention is not worse nor better at reducing excessive gestational weight gain than routine antenatal care.

27 July 2023 in Virtual Worlds
Verified
Journal Article
Open access
PDF file
SFShanna M Fealy
Shanna M Fealy
PIPauletta Irwin
Pauletta Irwin
ZTZeynep Tacgin
Zeynep Tacgin
ZSZi Siang See
Zi Siang See
DJDonovan Jones
Donovan Jones
This concept paper explores the use of extended reality (XR) technology in nursing education, with a focus on three case studies developed at one regional university in Australia. Tertiary education institutions that deliver nursing curricula are facing challenges around the provision of simulated learning experiences that prepare students for the demands of real-world professional practice. To overcome these barriers, XR technology, which includes augmented, mixed, and virtual reality (AR, MR, VR), offers a diverse media platform for the creation of immersive, hands-on learning experiences, situated within virtual environments that can reflect some of the dynamic aspects of real-world healthcare environments. This document analysis explores the use of XR technology in nursing education, through the narrative and discussion of three applied-use cases. The collaboration and co-design between nursing educators and XR technology experts allows for the creation of synchronous and asynchronous learning experiences beyond traditional nursing simulation media, better preparing students for the demands of real-world professional practice.

1 December 2020 in Eating Behaviors
Verified
Journal Article
Closed access
SFShanna M Fealy
Shanna M Fealy
JAJohn Attia
John Attia
LLLucy Leigh
Lucy Leigh
COChristopher Oldmeadow
Christopher Oldmeadow
MHMichael Hazelton
Michael Hazelton
AHAlexis Hure
Alexis Hure

10 February 2019 in Journal of Advanced Nursing
Verified
Journal Article
Closed access
PDF file
SFShanna M Fealy
Shanna M Fealy
Sally Wai Chi ChanSally Wai Chi Chan
Sally Wai Chi Chan
OWOlivia Wynne
Olivia Wynne
EDEileen Dowse
Eileen Dowse
LELyn Ebert
Lyn Ebert
DJDonovan Jones
Donovan Jones