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Psychology & Health|October 14, 2025
Can cultural facemasks enhance public health communication? Testing a theory-grounded messaging approachRotem Perach, Ekaterina Kostyuk, Deborah Husbands, et al.
Digital Health|July 31, 2019
Implementation of the goal-setting components in popular physical activity apps: Review and content analysisDario Baretta, Paulina Bondaronek, Artur Direito, et al.
JMIR Formative Research|January 26, 2025
Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group StudyPaulina Bondaronek, Jingfeng Li, Henry W W Potts
BMJ Open|November 16, 2019
Relationship between popularity and the likely efficacy: an observational study based on a random selection on top-ranked physical activity appsPaulina Bondaronek, April Slee, Fiona L Hamilton, et al.
Clinical Epidemiology|July 17, 2025
Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for EpidemiologistsLaura J Horsfall, Paulina Bondaronek, Julia Ive, et al.
British Journal of Health Psychology|October 22, 2025
Living well? The unintended consequences of highly popular commercial fitness apps through social listening using Machine-Assisted Topic Analysis: Evidence from XFlorence Sheen, Lucy Porter, Trisevgeni Papakonstantinou, et al.
JMIR Mhealth and Uhealth|March 23, 2018
Quality of Publicly Available Physical Activity Apps: Review and Content AnalysisPaulina Bondaronek, Ghadah Alkhaldi, April Slee, et al.
Lancet (London, England)|February 5, 2019
Pharmacological treatments for generalised anxiety disorder: a systematic review and network meta-analysisApril Slee, Irwin Nazareth, Paulina Bondaronek, et al.
JMIR Human Factors|August 30, 2022
Barriers to and Facilitators of the Use of Digital Tools in Primary Care to Deliver Physical Activity Advice: Semistructured Interviews and Thematic AnalysisPaulina Bondaronek, Samuel J Dicken, Seth Singh Jennings, et al.
Frontiers in Public Health|November 29, 2023
Applying machine-learning to rapidly analyze large qualitative text datasets to inform the COVID-19 pandemic response: comparing human and machine-assisted topic analysis techniquesLauren Towler, Paulina Bondaronek, Trisevgeni Papakonstantinou, et al.
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