Evidence map›Paper›PMID 37521714›Full record

ArticleTechnology in society2023

A Social and Ethical Framework for Providing Health Information Obtained from Combining Genetics and Fitness Tracking Data.

Katelyn Esmonde, Stephen M Roth, Alexis Walker

Open access · greenAbstract read
In one paragraph

Article in Technology in society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Ethics of Wearable-Based Out-of-Hospital Cardiac Arrest Detection.Circulation. Arrhythmia and electrophysiology · 2024
    Review
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

3 authors at 3 institutions in 1 country.

Katelyn EsmondeBerman Institute of Bioethics, Johns Hopkins University, 1809 Ashland Avenue, Baltimore, MD, USA, 21205.
Stephen M RothSchool of Public Health, University of Maryland, 4200 Valley Drive, College Park, MD, USA, 20742.
Alexis WalkerDepartment of Medical Humanities and Ethics, Columbia University, 630 West 168 Street, New York, NY, USA, 10032.
Columbia University Irving Medical Center · USJohns Hopkins University · USUniversity of Maryland, College Park · US

Funding

Organizational and Cultural Dynamics in Genomics Companies: Industry Engagement in Navigating Social and Ethical IssuesR00HG010499 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WALKER, ALEXIS · 2021 to 2023
$747k
NHGRI NIH HHS R00 HG010499
6 · The paper itself

Abstract

In this paper we explore a new technological intersection in the "big data revolution": the integration of two forms of data, genetic data and fitness tracking data. For example, a small number of direct-to-consumer (DTC) genetic testing companies have recently begun offering customers the ability to link their fitness tracking data with their genetic profile to get personalized diet and exercise recommendations. In this paper we put forward four ethical considerations that should inform potential uses of this health information. Those considerations are: the heightened risks to privacy resulting from combining sensitive data sets; the poor quality of health information that is possible at present in the realm of precision DTC genomics; the limited usefulness of the recommendations; and finally, the cultural assumptions about health and personal responsibility that are embedded within fitness genetic testing and fitness tracking. To conclude, we offer some guidance on how the benefits and risks of returning this type of health information can be weighed.

Indexed as

big datadirect-to-consumer geneticsethicsfitness trackingphysical activity

Identifiers

PMID37521714
PMCPMC10373508
OpenAlexW4380926823

What OpenQuestion holds

Textmetadata
LicenceTDM
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.