Yvonne Laird

Yvonne Laird


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

View All Publications
7 July 2016 in International Journal of Behavioral Nutrition and Physical Activity
Verified
Journal Article
Open access
PDF file
YLYvonne Laird
Yvonne Laird
SFSamantha Fawkner
Samantha Fawkner
PKPaul Kelly
Paul Kelly
LMLily McNamee
Lily McNamee
ANAilsa Niven
Ailsa Niven
Adolescent girls have been targeted as a priority group for promoting physical activity levels however it is unclear how this can be achieved. There is some evidence to suggest that social support could impact the physical activity levels of adolescent girls, although the relationship is complex and not well understood. We aimed to systematically review and meta-analyse the relationship between social support and physical activity in adolescent girls, exploring how different types and providers of social support might influence the relationship. Articles were identified through a systematic search of the literature using 14 electronic databases, personal resources, grey literature, and reference lists of included studies and previous reviews. Search terms representing social support, physical activity and adolescent girls were identified and used in various combinations to form a search strategy which was adapted for different databases. Cross-sectional or longitudinal articles published in English that reported an association between social support and physical activity in adolescent girls between the ages of 10 to 19 years were included. Studies that focused only on clinical or overweight populations were excluded. Data extraction was carried out by one reviewer using an electronic extraction form. A random 25 % of included articles were selected for data extraction by a second reviewer to check fidelity. Risk of bias was assessed using a custom tool informed by the Critical Appraisal Skills Programme Cohort Study Checklist in conjunction with data extraction. Cross-sectional results were meta-analysed and longitudinal results were presented narratively. Small but significant associations between all available providers of total social support (except teachers) and physical activity were found (r = .14-.24). Small but significant associations were also identified for emotional, instrumental and modelling support for some providers of support (r = .10-.21). Longitudinal research supported the cross-sectional analyses. Many of the meta-analysis results suggested high heterogeneity and there was some evidence of publication bias, therefore, the meta-analysis results should be interpreted with caution. In conclusion, the meta-analysis results suggest that social support is not a strong predictor of physical activity in adolescent girls though parents and friends may have a role in enhancing PA. PROSPERO 2014: CRD42014006738

2 March 2018 in Cochrane Database of Systematic Reviews
Verified
Journal Article
Open access
PDF file
AMAnne Martin
Anne Martin
JBJosephine N Booth
Josephine N Booth
YLYvonne Laird
Yvonne Laird
JSJohn Sproule
John Sproule
JRJohn J Reilly
John J Reilly
DSDavid H Saunders
David H Saunders
The global prevalence of childhood and adolescent obesity is high. Lifestyle changes towards a healthy diet, increased physical activity and reduced sedentary activities are recommended to prevent and treat obesity. Evidence suggests that changing these health behaviours can benefit cognitive function and school achievement in children and adolescents in general. There are various theoretical mechanisms that suggest that children and adolescents with excessive body fat may benefit particularly from these interventions. To assess whether lifestyle interventions (in the areas of diet, physical activity, sedentary behaviour and behavioural therapy) improve school achievement, cognitive function (e.g. executive functions) and/or future success in children and adolescents with obesity or overweight, compared with standard care, waiting-list control, no treatment, or an attention placebo control group. In February 2017, we searched CENTRAL, MEDLINE and 15 other databases. We also searched two trials registries, reference lists, and handsearched one journal from inception. We also contacted researchers in the field to obtain unpublished data. We included randomised and quasi-randomised controlled trials (RCTs) of behavioural interventions for weight management in children and adolescents with obesity or overweight. We excluded studies in children and adolescents with medical conditions known to affect weight status, school achievement and cognitive function. We also excluded self- and parent-reported outcomes. Four review authors independently selected studies for inclusion. Two review authors extracted data, assessed quality and risks of bias, and evaluated the quality of the evidence using the GRADE approach. We contacted study authors to obtain additional information. We used standard methodological procedures expected by Cochrane. Where the same outcome was assessed across different intervention types, we reported standardised effect sizes for findings from single-study and multiple-study analyses to allow comparison of intervention effects across intervention types. To ease interpretation of the effect size, we also reported the mean difference of effect sizes for single-study outcomes. We included 18 studies (59 records) of 2384 children and adolescents with obesity or overweight. Eight studies delivered physical activity interventions, seven studies combined physical activity programmes with healthy lifestyle education, and three studies delivered dietary interventions. We included five RCTs and 13 cluster-RCTs. The studies took place in 10 different countries. Two were carried out in children attending preschool, 11 were conducted in primary/elementary school-aged children, four studies were aimed at adolescents attending secondary/high school and one study included primary/elementary and secondary/high school-aged children. The number of studies included for each outcome was low, with up to only three studies per outcome. The quality of evidence ranged from high to very low and 17 studies had a high risk of bias for at least one item. None of the studies reported data on additional educational support needs and adverse events. Compared to standard practice, analyses of physical activity-only interventions suggested high-quality evidence for improved mean cognitive executive function scores. The mean difference (MD) was 5.00 scale points higher in an after-school exercise group compared to standard practice (95% confidence interval (CI) 0.68 to 9.32; scale mean 100, standard deviation 15; 116 children, 1 study). There was no statistically significant beneficial effect in favour of the intervention for mathematics, reading, or inhibition control. The standardised mean difference (SMD) for mathematics was 0.49 (95% CI -0.04 to 1.01; 2 studies, 255 children, moderate-quality evidence) and for reading was 0.10 (95% CI -0.30 to 0.49; 2 studies, 308 children, moderate-quality evidence). The MD for inhibition control was -1.55 scale points (95% CI -5.85 to 2.75; scale range 0 to 100; SMD -0.15, 95% CI -0.58 to 0.28; 1 study, 84 children, very low-quality evidence). No data were available for average achievement across subjects taught at school. There was no evidence of a beneficial effect of physical activity interventions combined with healthy lifestyle education on average achievement across subjects taught at school, mathematics achievement, reading achievement or inhibition control. The MD for average achievement across subjects taught at school was 6.37 points lower in the intervention group compared to standard practice (95% CI -36.83 to 24.09; scale mean 500, scale SD 70; SMD -0.18, 95% CI -0.93 to 0.58; 1 study, 31 children, low-quality evidence). The effect estimate for mathematics achievement was SMD 0.02 (95% CI -0.19 to 0.22; 3 studies, 384 children, very low-quality evidence), for reading achievement SMD 0.00 (95% CI -0.24 to 0.24; 2 studies, 284 children, low-quality evidence), and for inhibition control SMD -0.67 (95% CI -1.50 to 0.16; 2 studies, 110 children, very low-quality evidence). No data were available for the effect of combined physical activity and healthy lifestyle education on cognitive executive functions. There was a moderate difference in the average achievement across subjects taught at school favouring interventions targeting the improvement of the school food environment compared to standard practice in adolescents with obesity (SMD 0.46, 95% CI 0.25 to 0.66; 2 studies, 382 adolescents, low-quality evidence), but not with overweight. Replacing packed school lunch with a nutrient-rich diet in addition to nutrition education did not improve mathematics (MD -2.18, 95% CI -5.83 to 1.47; scale range 0 to 69; SMD -0.26, 95% CI -0.72 to 0.20; 1 study, 76 children, low-quality evidence) and reading achievement (MD 1.17, 95% CI -4.40 to 6.73; scale range 0 to 108; SMD 0.13, 95% CI -0.35 to 0.61; 1 study, 67 children, low-quality evidence). Despite the large number...

1 January 2018 in International Journal of Qualitative Studies on Health and Well-being
Verified
Journal Article
Open access
YLYvonne Laird
Yvonne Laird
SFSamantha Fawkner
Samantha Fawkner
ANAilsa Niven
Ailsa Niven
Purpose: Adolescent girls are not sufficiently active to achieve health benefits. Social support from friends and family has been positively associated with physical activity in adolescent girls; however it is unclear how social support influences physical activity behaviour. This study aimed to develop a grounded theory of how social support influences physical activity in adolescent girls. Methods: A qualitative, constructivist grounded theory approach was adopted. Individual interviews explored adolescent girls’ perspectives of how significant others’ influenced their physical activity through providing social support, and through modelling physical activity. Results: Participants perceived social support to influence physical activity behaviour through performance improvements, self-efficacy, enjoyment, motivation and by enabling physical activity. Improvements in performance and self-efficacy were also linked to motivation to be active. Girls perceived modelling to influence behaviour through providing opportunities for them to be physically active, and by inspiring them to be active. Conclusion: The grounded theory outlines adolescent girls’ perceptions of how significant others influence their physical activity and provides a framework for future research examining the role of social support on physical activity.

25 February 2020 in Health Psychology Review
Verified
Journal Article
Closed access
ANAilsa Niven
Ailsa Niven
YLYvonne Laird
Yvonne Laird
DSDavid H. Saunders
David H. Saunders
SPShaun M. Phillips
Shaun M. Phillips
There is evidence for the physical health benefits of high intensity interval exercise (HIIE), but its public health potential has been challenged. It is purported that compared with moderate-intensity continuous exercise (MICE) the high intensity nature of HIIE may lead to negative affective responses. This systematic review (PROSPERO CRD42017058203) addressed this proposition and synthesised research that compares affective responses to HIIE with MICE and vigorous intensity continuous exercise (VICE), during-, end-, and post-exercise. Searches were conducted on five databases, and findings from 33 studies were meta-analysed using random effects models or narratively synthesised. A meta-analysis of affect showed a significant effect in favour of MICE vs HIIE at the lowest point, during and post-exercise, but not at end, and the narrative synthesis supported this for other affective outcomes. Differences on affect between VICE vs HIIE were limited. Pooled data showed arousal levels were consistently higher during HIIE. For enjoyment there was a significant effect in favour of HIIE vs MICE, no difference for HIIE vs VICE at post-exercise, and mixed findings for during-exercise. Although the findings are clouded by methodological issues they indicate that compared to MICE, HIIE is experienced less positively but post-exercise is reported to be more enjoyable.

20 May 2022 in eClinicalMedicine
Verified
Journal Article
Open access
JKJames Kite
James Kite
BHBo-Huei Huang
Bo-Huei Huang
YLYvonne Laird
Yvonne Laird
AGAnne Grunseit
Anne Grunseit
BMBronwyn McGill
Bronwyn McGill
MTMargaret Thomas
Margaret Thomas
The lack of a comprehensive understanding of the role of mass media in perpetuating weight stigma hinders policy formulation. We reviewed the influence of mass media on weight stigmatisation and the effectiveness of media-based interventions designed to prevent or reduce stigma. We conducted a systematic review across seven databases from inception to December 2021. Included studies assessed exposure to or impact of weight stigma in mass media or examined interventions to reduce stigma through media in populations 12+ years. We synthesised data narratively, categorising studies based on similarity in focus to produce a set of integrated findings. The systematic review is registered in PROSPERO (No. CRD42020176306). One-hundred-and-thirteen records were eligible for inclusion from 2402 identified; 95 examined the prevalence of stigmatising content in mass media and its impact on stigma. Weight stigma was prevalent across media types, with the dominant discourse viewing overweight and obesity as an individual responsibility and overlooking systemic factors. Exposure to stigmatising content was found to negatively influence attitudes towards people with overweight or obesity. Few studies considered methods of reducing stigma in the media, with only two testing media-based interventions; their results were promising but limited. Weight stigma in media content is prevalent and harmful, but there is little guidance on reducing it. Future research focus needs to shift from assessing prevalence and impacts to weight stigma interventions. None.

18 July 2020 in Health Research Policy and Systems
Verified
Journal Article
Open access
PDF file
YLYvonne Laird
Yvonne Laird
JMJillian Manner
Jillian Manner
LBLouise Baldwin
Louise Baldwin
RHRuth Hunter
Ruth Hunter
JMJohn McAteer
John McAteer
RJRuth G Jepson
Ruth G Jepson
Background: The importance of engaging stakeholders in the research process is well recognised. Whilst engagement is important, guidelines and practices vary for how stakeholders should be involved in research and how to facilitate effective collaborative relationships. Methods: This study aimed to explore the perspectives and experiences of stakeholders involved in the policy and practice area of outdoor space and non-communicable disease prevention. Stakeholders interviewed included academics, practitioners, policy-makers, knowledge brokers and a funder. Results: The findings suggest that stakeholders had positive experiences when engaged meaningfully in the research process, where research projects were carefully planned and managed with attention to context and culture, and where the research team was effective, respectful and communicative. These factors help to facilitate the translation of research into policy and practice. However, multiple challenges of collaborative research were identified which related to structural and systemic challenges, building and maintaining relationships, use and collection of data and information, cultural perceptions of research and research generation, and getting evidence into action. Participants felt that changing the funding system, exploring more collaborative research methodologies, improved research translation, and more effective collaborative relationships at all stages of the research process could address some of these challenges. Conclusions: The findings highlight that, whilst stakeholder engagement in research was considered important, structural, cultural and individual practices impacted how this worked in practice. Identifying and testing solutions to address these challenges could improve synergies between research, policy, and practice and lead to the production of impactful research that reduces wastage of public funding, improves implementation of findings and ultimately improves public health outcomes.