Analysis and perception of Instagram posts referring to diastasis recti abdominis, exercise and sports-related content: a mixed-method study protocol
Giagio, S.; Rial Rebullido, T.; Salvioli, S.; Innocenti, T.; Pillastrini, P.; Moore, I.; Donnelly, G.
Show abstract
ObjectivesThis study will evaluate the health information posted in Instagram (IG) concerning in diastasis recti abdominis (DRA), exercise and sports, and it will explore how IG content is perceived and impacts the daily lives of women with DRA. MethodsA convergent parallel mixed methods design will be used. Through an observational study, public IG posts content written in English language will be descriptively analysed and reviewed using the QUality Evaluation Scoring Tool (QUEST) criteria. We will extract data on exercise and sport suggestions for women with DRA, along with any proposed indications and contraindications. Eligible women with a diagnosis of DRA will be recruited via a worldwide e-survey using Qualtrics, and invited to take part to one-to-one interviews via Microsoft Teams. Semi-structured interviews will aim to explore their IG use and their perceptions on information related to DRA, exercise, and sports. Descriptive and thematic analysis will be conducted. ImplicationsThe availability and quality of information on social media are becoming increasingly important aspects of patient care. For sports medicine and womens health clinicians, the findings of the present study will give an overview of DRA content that are easily accessible to women, underscoring the related posts characteristics. Furthermore, results could impact clinical practice by providing clinicians with a better understanding of patients perceptions and beliefs from IG DRA content, with the ultimate aim of better engaging with them and dispelling any potential misconceptions.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Lower limb chronic edema management program: Perspectives of disengaged patients on challenges, enablers and barriers to program attendance and adherence 95%
- Evaluating the effectiveness of mindfulness alone compared to exercise and mindfulness on fatigue in women with gynaecology cancer (GEMS): Protocol for a randomised feasibility trial 95%
- Menopause education of healthcare professionals: A scoping review protocol 94%
Similar papers in this journal
- Athletes’ access to, attitudes towards, and experiences of help-seeking for mental health: A scoping review protocol 95%
- Taking a participatory research approach within workplace health promotion research to improve physical activity levels in office-based workers: a scoping review protocol 94%
- Long Covid and the role of physical activity: a qualitative study 94%
Similar papers in this journal
- Developing a psychological support intervention to help injured athletes get Back in the Game 94%
- The Validity of the Parsley Symptom Index: an e-PROM designed for Telehealth 92%
- Individual factors influencing public’s perceptions about the importance of COVID-19 immunity certificates: a cross-sectional online questionnaire survey in the UK 92%
Similar papers in this journal
- How can digital citizen science approaches improve ethical smartphone use surveillance among youth: traditional surveys versus ecological momentary assessments 93%
- Defining Destigmatizing Design Guidelines for Use in Sexual Health-Related Digital Technologies: A Delphi Study 93%
- Views and experiences of young people on using mHealth platforms for sexual and reproductive health services in rural low- and middle-income countries: a qualitative systematic review 93%
Similar papers in this journal
- Gynaecological health patterns and motherhood experiences of female professional football players 95%
- Impostor Phenomenon in the Nutrition and Dietetics Profession: An Online Cross-Sectional Survey 94%
- Practical recommendations for staying physically active during the COVID-19 pandemic: A systematic literature review 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.