Evidence map›Paper›PMID 34546176›Full record

SynthesisJournal of medical Internet research2021

How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review.

Shan Feng, Matti Mäntymäki, Amandeep Dhir, Hannu Salmela

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. An Apple-watch all day keeps your life astray-or does it?Scandinavian journal of public health · 2026
    Article
  5. Article
  6. Rethinking Ethics for an Era of Trusted Computational Tools.The Psychiatric clinics of North America · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Commitment to Self-Tracking Among Wearable-Device Users: Validation of the C2ST Scale and Known-Groups Evidence.European journal of investigation in health, psychology and education · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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 · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shan FengDepartment of Management and Entrepreneurship, Turku School of Economics, University of Turku, Turku, Finland.ORCID 0000-0002-6979-6938
Matti MäntymäkiDepartment of Management and Entrepreneurship, Turku School of Economics, University of Turku, Turku, Finland.ORCID 0000-0002-1981-566X
Amandeep DhirDepartment of Management, School of Business and Law, University of Agder, Kristiansand, Norway.ORCID 0000-0002-6006-6058
Hannu SalmelaDepartment of Management and Entrepreneurship, Turku School of Economics, University of Turku, Turku, Finland.ORCID 0000-0002-8302-1397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-tracking technologies are widely used in people's daily lives and health care. Academic research on self-tracking and the quantified self has also accumulated rapidly in recent years. Surprisingly, there is a paucity of research that reviews, classifies, and synthesizes the state of the art with respect to self-tracking and the quantified self.

objectiveOur objective was to identify the state of the art of self-tracking and the quantified self in terms of health and well-being.

methodsWe have undertaken a systematic literature review on self-tracking and the quantified self in promoting health and well-being. After a rigorous literature search, followed by inclusions, exclusions, and the application of article quality assessment protocols, 67 empirical studies qualified for the review.

resultsOur results demonstrate that prior research has focused on 3 stakeholders with respect to self-tracking and the quantified self, namely end users, patients and people with illnesses, and health care professionals and caregivers. We used these stakeholder groups to cluster the research themes of the reviewed studies. We identified 11 research themes. There are 6 themes under the end-user cluster: user motivation and goal setting, usage and effects of self-tracking, continuance intention and long-term usage, management of personal data, rejection and discontinuance, and user characteristics. The patient and people with illnesses cluster contains three themes: usage experience of patients and people with illnesses, management of patient-generated data, and advantages and disadvantages in the clinical context. The health care professional and caregiver cluster contains two themes: collaboration among patients, health care professionals, and caregivers, and changes in the roles of patients and professionals. Moreover, we classified the future research suggestions given in the literature into 5 directions in terms of research designs and research topics. Finally, based on our reflections on the observations from the review, we suggest four future research directions: (1) users' cognitions and emotions related to processing and interpreting the information produced by tracking devices and apps; (2) the dark side of self-tracking (eg, its adverse psychosocial consequences); (3) self-tracking as a societal phenomenon; and (4) systemic impacts of self-tracking on health care and the actors involved.

conclusionsThis systematic literature review contributes to research and practice by assisting future research activities and providing practitioners with a concise overview of the state of the art of self-tracking and the quantified self.

Indexed as

Health PromotionMotivationDelivery of Health CareHealth PersonnelHumanshealthliterature reviewquantified selfself-trackingsystematic literature reviewwell-being

Identifiers

PMID34546176
PMCPMC8493454

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.