Recruiting and Engaging Women of Reproductive Age with Obesity: Insights from A Mixed-Methods Study within A Trial Article Swipe
Sarah Louise Killeen
,
David Byrne
,
Aisling A. Geraghty
,
Cara A. Yelverton
,
Douwe van Sinderen
,
Paul D. Cotter
,
Eileen F. Murphy
,
Sharleen O’Reilly
,
Fionnuala M. McAuliffe
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph192113832
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph192113832
Engaging women with obesity in health-related studies during preconception is challenging. Limited data exists relating to their participation. The aim of this study is to explore the experiences and opinions of women participating in a weight-related, preconception trial. This is an explanatory sequential (quan-QUAL) mixed-methods Study Within A Trial, embedded in the GetGutsy randomized controlled trial (ISRCTN11295995). Screened participants completed an online survey of eight questions (single or multiple choice and Likert scale) on recruitment, motivations and opinions on study activities. Participants with abdominal obesity (waist circumference ≥ 80 cm) were invited to a subsequent semi-structured, online focus group (n = 2, 9 participants) that was transcribed and analyzed using inductive thematic analysis, with a pragmatic epistemological approach. The survey (n = 102) showed the main research participation motivations were supporting health research (n = 38, 37.3%) and wanting health screening (n = 30, 29.4%). Most participants were recruited via email (n = 35, 34.7%) or social media (n = 15, 14.7%). In the FGs, participants valued flexibility, convenience and. research methods that aligned with their lifestyles. Participants had an expanded view of health that considered emotional well-being and balance alongside more traditional medical assessments. Clinical trialists should consider well-being, addressing the interconnectedness of health and incorporate a variety of research activities to engage women of reproductive age with obesity.
Related Topics
Concepts
Thematic analysis
Likert scale
Focus group
Psychology
Reproductive health
Social media
Waist
Flexibility (engineering)
Medicine
Randomized controlled trial
Obesity
Qualitative research
Gerontology
Family medicine
Developmental psychology
Environmental health
Population
Statistics
Internal medicine
Social science
Political science
Marketing
Surgery
Business
Sociology
Law
Mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijerph192113832
- https://www.mdpi.com/1660-4601/19/21/13832/pdf?version=1667297220
- OA Status
- gold
- Cited By
- 4
- References
- 70
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4307167598
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4307167598Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijerph192113832Digital Object Identifier
- Title
-
Recruiting and Engaging Women of Reproductive Age with Obesity: Insights from A Mixed-Methods Study within A TrialWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-24Full publication date if available
- Authors
-
Sarah Louise Killeen, David Byrne, Aisling A. Geraghty, Cara A. Yelverton, Douwe van Sinderen, Paul D. Cotter, Eileen F. Murphy, Sharleen O’Reilly, Fionnuala M. McAuliffeList of authors in order
- Landing page
-
https://doi.org/10.3390/ijerph192113832Publisher landing page
- PDF URL
-
https://www.mdpi.com/1660-4601/19/21/13832/pdf?version=1667297220Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1660-4601/19/21/13832/pdf?version=1667297220Direct OA link when available
- Concepts
-
Thematic analysis, Likert scale, Focus group, Psychology, Reproductive health, Social media, Waist, Flexibility (engineering), Medicine, Randomized controlled trial, Obesity, Qualitative research, Gerontology, Family medicine, Developmental psychology, Environmental health, Population, Statistics, Internal medicine, Social science, Political science, Marketing, Surgery, Business, Sociology, Law, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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70Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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