Samantha Van Beurden

Dr. Samantha Van Beurden

College of Medicine and Health, University of Exeter, Exeter EX1 2LU, UK

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

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10 March 2016 in International Journal of Behavioral Nutrition and Physical Activity
Verified
Journal Article
Open access
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Marco BardusMarco Bardus
Marco Bardus
SBSamantha Van Beurden
Samantha Van Beurden
JSJane R. Smith
Jane R. Smith
CACharles Abraham
Charles Abraham
There are thousands of apps promoting dietary improvement, increased physical activity (PA) and weight management. Despite a growing number of reviews in this area, popular apps have not been comprehensively analysed in terms of features related to engagement, functionality, aesthetics, information quality, and content, including the types of change techniques employed. The databases containing information about all Health and Fitness apps on GP and iTunes (7,954 and 25,491 apps) were downloaded in April 2015. Database filters were applied to select the most popular apps available in both stores. Two researchers screened the descriptions selecting only weight management apps. Features, app quality and content were independently assessed using the Mobile App Rating Scale (MARS) and previously-defined categories of techniques relevant to behaviour change. Inter-coder reliabilities were calculated, and correlations between features explored. Of the 23 popular apps included in the review 16 were free (70 %), 15 (65 %) addressed weight control, diet and PA combined; 19 (83 %) allowed behavioural tracking. On 5-point MARS scales, apps were of average quality (Md = 3.2, IQR = 1.4); “functionality” (Md = 4.0, IQR = 1.1) was the highest and “information quality” (Md = 2.0, IQR = 1.1) was the lowest domain. On average, 10 techniques were identified per app (range: 1–17) and of the 34 categories applied, goal setting and self-monitoring techniques were most frequently identified. App quality was positively correlated with number of techniques included (rho = .58, p < .01) and number of “technical” features (rho = .48, p < .05), which was also associated with the number of techniques included (rho = .61, p < .01). Apps that provided tracking used significantly more techniques than those that did not. Apps with automated tracking scored significantly higher in engagement, aesthetics, and overall MARS scores. Those that used change techniques previously associated with effectiveness (i.e., goal setting, self-monitoring and feedback) also had better “information quality”. Popular apps assessed have overall moderate quality and include behavioural tracking features and a range of change techniques associated with behaviour change. These apps may influence behaviour, although more attention to information quality and evidence-based content are warranted to improve their quality.

1 August 2016 in Health Psychology
Verified
Journal Article
Closed access
SBSamantha Van Beurden
Samantha Van Beurden
CGColin J. Greaves
Colin J. Greaves
JSJane R. Smith
Jane R. Smith
CACharles Abraham
Charles Abraham
This systematic review aimed to (a) identify and categorize techniques used to modify or manage impulsive processes associated with unhealthy eating behavior, (b) describe the mechanisms targeted by such techniques, and (c) summarize available evidence on the effectiveness of these techniques. Searches of 5 bibliographic databases identified studies, published in English since 1993, that evaluated at least 1 technique to modify impulsive processes affecting eating in adults. Data were systematically extracted on study characteristics, population, study quality, intervention techniques, proposed mechanisms of action, and outcomes. Effectiveness evidence was systematically collated and described without meta-analysis. Ninety-two studies evaluated 17 distinct impulse management techniques. They were categorized according to whether they aimed to (a) modify the strength of impulses or (b) engage the reflective system or other resources in identifying, suppressing, or otherwise managing impulses. Although higher quality evidence is needed to draw definitive conclusions, promising changes in unhealthy food consumption and food cravings were observed for visuospatial loading, physical activity, and if-then planning, typically for up to 1-day follow-up. A wide range of techniques have been evaluated and some show promise for use in weight management interventions. However, larger-scale, more methodologically robust, community-based studies with longer follow-up times are needed to establish whether such techniques can have a long-term impact on eating patterns. (PsycINFO Database Record

14 March 2022 in Health Psychology Review
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Journal Article
Open access
Dominika KwasnickaDominika Kwasnicka
Dominika Kwasnicka
JKJan Keller
Jan Keller
OPOlga Perski
Olga Perski
SPSebastian Potthoff
Sebastian Potthoff
Gill Ten HoorGill Ten Hoor
Gill Ten Hoor
RSRobbert Sanderman
Robbert Sanderman
In this White Paper, we outline recommendations from the perspective of health psychology and behavioural science, addressing three research gaps: (1) What methods in the health psychology research toolkit can be best used for developing and evaluating digital health tools? (2) What are the most feasible strategies to reuse digital health tools across populations and settings? (3) What are the main advantages and challenges of sharing (openly publishing) data, code, intervention content and design features of digital health tools? We provide actionable suggestions for researchers joining the continuously growing Open Digital Health movement, poised to revolutionise health psychology research and practice in the coming years. This White Paper is positioned in the current context of the COVID-19 pandemic, exploring how digital health tools have rapidly gained popularity in 2020-2022, when world-wide health promotion and treatment efforts rapidly shifted from face-to-face to remote delivery. This statement is written by the Directors of the not-for-profit Open Digital Health Initiative (n = 6), Experts attending the European Health Psychology Society Synergy Expert Meeting (n = 17), and the initiative consultant following a two-day meeting (19-20th August 2021).

20 February 2020 in BMJ Open
Verified
Journal Article
Open access
PDF file
SDSarah Denford
Sarah Denford
SBSamantha Van Beurden
Samantha Van Beurden
POPaul O'HAlloran
Paul O'HAlloran
Craig Anthony WilliamsCraig Anthony Williams
Craig Anthony Williams
Objectives Physical activity is widely recommended in the treatment and management of cystic fibrosis (CF). Despite the numerous physical and psychological benefits, many young people with CF are not achieving the recommended levels of physical activity. The aim of this systematic review was to identify and synthesise available qualitative investigations exploring the motives for, barriers to and facilitators of physical activity among young people with CF. Methods The following six electronic databases were systematically searched: Applied Social Sciences Index and Abstracts (ASSIA), CINAH, EMBASE, MEDLINE, MEDLINE-in-process, PsycINFO up to August 2019. Keywords were used to identify qualitative research that explored engagement in physical activity among young people with CF. Titles and abstracts were screened by two independent reviewers, and potentially relevant articles were retrieved in full. Articles were eligible for inclusion if they employed any qualitative method and recruited participants under the age of 24 years with CF. Risk of bias of included studies was assessed via the Critical Appraisal Skills Programme. Results were synthesised using a thematic approach. Results Seven studies met our inclusion criteria and were included in the review. Overall, studies were of moderate to high quality. Thematic synthesis identified nine main themes that encompass motives for, barriers to and facilitators of physical activity among young people with CF. These were (1) Perceptions of physical activity. (2) Value attributed to physical activity. (3) Social influences. (4) Competing priorities. (5) Fluctuating health. (6) Normality. (7) Control beliefs. (8) Coping strategies. (9) Availability of facilities. Previous reviews have been unable to identify intervention characteristics that influence physical activity behaviour. Conclusions This review provides detailed information on the physical (biological—clinical), psychological, social and environmental influences on physical activity behaviour, thus providing numerous targets for future interventions. This in turn could facilitate promotion of physical activity among young people with CF.

30 April 2019 in JMIR Formative Research
Verified
Journal Article
Open access
SBSamantha Van Beurden
Samantha Van Beurden
JSJane R Smith
Jane R Smith
NLNatalia S Lawrence
Natalia S Lawrence
CACharles Abraham
Charles Abraham
CGColin J Greaves
Colin J Greaves
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Obesity remains a key global health priority. Impulsive processes driving eating behaviour can often undermine peoples’ attempts to lose weight and maintain weight loss. ImpulsePal is a theory-driven (dual-process), evidence-informed, and person-centred smartphone app intervention designed to help people manage impulsive processes that prompt unhealthy eating to facilitate dietary change and weight loss. Objective: This study aimed to (a) assess the feasibility of trial procedures for evaluation of the ImpulsePal intervention, (b) estimate standard deviations of outcomes, and (c) assess usability of, and satisfaction with, ImpulsePal. Methods: We conducted an individually randomised parallel two-arm non-blinded feasibility trial. Eligibility criteria included: being ≥16 years old, having a Body Mass Index of ≥25kg/m2, and access to an android-based device. Weight was measured (as the proposed primary outcome for a full-scale trial) at baseline, 1-month and 3-months of follow-up. Participants were randomised in a 2:1 allocation ratio to the ImpulsePal intervention or a waiting list control group. A nested action-research study allowed for data-driven refinement of the intervention across two cycles of feedback. Results: 179 participants were screened for eligibility and 58 were randomised to the intervention group and 30 to the control group. Data were available for 74 (84%) participants at 1 month and 67 (76%) participants at 3 months. The intervention group (n=43) lost 1.03 kg (95% CI 0.33 to 1.74), more than controls (n=26) at one month, and 1.01kg (95% CI -0.45 to 2.47) more than controls (n=43, n=24 respectively) at three months. Feedback suggested changes to intervention design were required to (a) improve receipt and understanding of instructions, and (b) facilitate further engagement with the app and its strategies. Conclusions: The evaluation methods are feasible and initial findings suggest that addressing impulsive processes may be helpful for those wishing to lose weight. The intervention is acceptable and satisfactory to users. Clinical Trial: Retrospectively registered with the ISRCTN (ref: ISRCTN14886370)

12 February 2018 in BMC Obesity
Verified
Journal Article
Open access
PDF file
SBSamantha Van Beurden
Samantha Van Beurden
SSSally I. Simmons
Sally I. Simmons
JTJason C. H. Tang
Jason C. H. Tang
AMAvril J. Mewse
Avril J. Mewse
CACharles Abraham
Charles Abraham
CGColin J. Greaves
Colin J. Greaves
The internet is a potentially promising medium for delivering weight loss interventions. The current study sought to explore factors that might influence primary care patients’ initial uptake and continued use (up to four-weeks) of such programmes to help inform the development of novel, or refinement of existing, weight management interventions. Semi-structured interviews were conducted with 20 patients purposively sampled based on age, gender and BMI from a single rural general practice. The interviews were conducted 4 weeks after recruitment at the general practice and focused on experiences with using one of three freely available weight loss websites. Thematic Analysis was used to analyse the data. Findings suggested that patients were initially motivated to engage with internet-based weight loss programmes by their accessibility and novelty. However, continued use was influenced by substantial facilitators and barriers, such as time and effort involved, reaction to prompts/reminders, and usefulness of information. Facilitation by face-to-face consultations with the GP was reported to be helpful in supporting change. Although primary care patients may not be ready yet to solely depend on online interventions for weight loss, their willingness to use them shows potential for use alongside face–to-face weight management advice or intervention. Recommendations to minimise barriers to engagement are provided.