ArticleDigital health
"You get what you need when you need it": A mixed methods examination of the feasibility and acceptability of a tailored digital tool to promote physical activity among women in midlife.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Association Between Behavioral Phenotypes and Paid Subscription and Renewal Among New mHealth App Users: Six-Month Prospective Cohort Study.Journal of medical Internet research · 2026Article
- Physical activity partners for women with cardiovascular disease risk: Proof-of-concept trial with daily assessment.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026Article
- Social comparison target selections as health information preferences: exploring contextual influences among women in midlife with elevated risk for cardiovascular disease.Health psychology and behavioral medicine · 2026Article
- Physical Activity Volume, Exercise Guidance, and Depressive Symptoms in Young-Old Adults: The Role of Internet Use Frequency and Self-Perceived Digital Proficiency.Depression and anxiety · 2026Article
- Preferences and responses for physical activity partnerships among women in midlife with elevated risk for cardiovascular disease: a digital, mixed methods approach.Psychology & health · 2025Article
- Personalized and adaptive physical activity-based social comparison opportunities for women with health risks: Insights from a real-time test of the identification/contrast model.Journal of health psychology · 2025Article
- Predictors of physical activity in daily life among women of reproductive age: a scoping review.mHealth · 2025Review
- Digital, Social Micro-Interventions to Promote Physical Activity Among Midlife Adults With Elevated Cardiovascular Risk: An Ambulatory Feasibility Study With Momentary Randomization.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2024Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
During midlife (ages 40-60), women experience myriad changes that elevate their risk for cardiovascular disease (CVD), including decreased physical activity (PA). Women cite lack of social support for PA and lack of active peers who can serve as role models as key barriers. Digital tools such as web applications can provide exposure to these social inputs; they are also accessible in daily life and require modest time investment. However, as few tools have been designed to meet the unique needs of women in midlife with CVD risk, our research team previously built a web application that is tailored for this population. In the present study, we used a convergent mixed methods design to develop a deep understanding of the feasibility, usability, and acceptability of this web application in a sample of identified end users. Participants (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.