SynthesisJournal of medical Internet research2016
Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies.
Synthesis in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Behavior change beyond intervention: an activity-theoretical perspective on human-centered design of personal health technology.Frontiers in digital health · 2026Article
- Effect of Self-Quantification on Caregiver Burden and Depression Among Family Caregivers: A SWING-Japan Study.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2025Article
- Participation factors in a self-quantification program for family caregivers of community-dwelling older adults with long-term care in Japan.BMC research notes · 2024Article
- The Effect of Presentation Characteristics of "Quantified Self" Data on Consumers' Continuance Participation Intention: An Empirical Study Based on Health-Related Apps.Psychology research and behavior management · 2022Article
- The Sociological Perspective of Users' Invisible Work: A Qualitative Research Framework for Studying Digital Health Innovations Integration.Journal of medical Internet research · 2021Review
- Research data management in health and biomedical citizen science: practices and prospects.JAMIA open · 2020Article
- Development and Validation of a Taxonomy for Characterizing Measurements in Health Self-Quantification.Journal of medical Internet research · 2017Article
- Patient-driven N-of-1 in Parkinson's Disease. Lessons Learned from a Placebo-controlled Study of the Effect of Nicotine on Dyskinesia.Methods of information in medicine · 2017Article
- Ownership and Use of Commercial Physical Activity Trackers Among Finnish Adolescents: Cross-Sectional Study.JMIR mHealth and uHealth · 2017Article
- Sleep Quality Prediction From Wearable Data Using Deep Learning.JMIR mHealth and uHealth · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSelf-quantification (SQ) is a way of working in which, by using tracking tools, people aim to collect, manage, and reflect on personal health data to gain a better understanding of their own body, health behavior, and interaction with the world around them. However, health SQ lacks a formal framework for describing the self-quantifiers' activities and their contextual components or constructs to pursue these health related goals. Establishing such framework is important because it is the first step to operationalize health SQ fully. This may in turn help to achieve the aims of health professionals and researchers who seek to make or study changes in the self-quantifiers' health systematically.
objectiveThe aim of this study was to review studies on health SQ in order to answer the following questions: What are the general features of the work and the particular activities that self-quantifiers perform to achieve their health objectives? What constructs of health SQ have been identified in the scientific literature? How have these studies described such constructs? How would it be possible to model these constructs theoretically to characterize the work of health SQ?
methodsA systematic review of peer-reviewed literature was conducted. A total of 26 empirical studies were included. The content of these studies was thematically analyzed using Activity Theory as an organizing framework.
resultsThe literature provided varying descriptions of health SQ as data-driven and objective-oriented work mediated by SQ tools. From the literature, we identified two types of SQ work: work on data (ie, data management activities) and work with data (ie, health management activities). Using Activity Theory, these activities could be characterized into 6 constructs: users, tracking tools, health objectives, division of work, community or group setting, and SQ plan and rules. We could not find a reference to any single study that accounted for all these activities and constructs of health SQ activity.
conclusionsA Health Self-Quantification Activity Framework is presented, which shows SQ tool use in context, in relation to the goals, plans, and competence of the user. This makes it easier to analyze issues affecting SQ activity, and thereby makes it more feasible to address them. This review makes two significant contributions to research in this field: it explores health SQ work and its constructs thoroughly and it adapts Activity Theory to describe health SQ activity systematically.
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