Evidence map›Paper›PMID 38881838›Full record

ArticlePNAS nexus2024

N-of-1 health optimization: Digital monitoring of biomarker dynamics to gamify adherence to metabolic switching.

Peter Wang, Xavier Tadeo, Han Shi Jocelyn Chew, Yoann Sapanel, Yoong Hun Ong, Nicole Yong Ting Leung, Edward Kai-Hua Chow, Dean Ho

Registry-linked trialAbstract read
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06630637 (Intermittent Fasting Monitoring for Human Optimization Utilizing Wearable Technology), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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.

NCT06630637 nacompletednot on this map

Intermittent Fasting Monitoring for Human Optimization Utilizing Wearable Technology: an N-of-1 Prospective Study

TypeinterventionalSponsorInstitute for Digital Medicine (WisDM)Ran2024 to 2025Enrolled1ConditionsIntermittent Fasting, Healthy, Digital HealthArmsGlucose-Ketone Index (GKI) monitoring, Continuous Glucose Monitoring (CGM), Digital dynamometer, Wearables, Blood tests
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. 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

8 authors.

Peter WangDepartment of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583, Singapore.ORCID https://orcid.org/0000-0002-4925-1738
Xavier TadeoInstitute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore.ORCID https://orcid.org/0000-0003-0356-826X
Han Shi Jocelyn ChewAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.ORCID https://orcid.org/0000-0002-4209-1647
Yoann SapanelInstitute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore.ORCID https://orcid.org/0000-0001-6797-7850
Yoong Hun OngInstitute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore.
Nicole Yong Ting LeungInstitute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore.ORCID https://orcid.org/0009-0001-5129-5801
Edward Kai-Hua ChowDepartment of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583, Singapore.
Dean HoDepartment of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583, Singapore.ORCID https://orcid.org/0000-0002-7337-296X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The digital health field is experiencing substantial growth due to its potential for sustained and longitudinal deployment. In turn, this may drive improved monitoring and intervention as catalysts for behavioral change compared to traditional point-of-care practices. In particular, the increase in incidence of population health challenges such as diabetes, heart disease, fatty liver disease, and other disorders coupled with rising healthcare costs have emphasized the importance of exploring technical, economics, and implementation considerations, among others in the decentralization of health and healthcare innovations. Both healthy individuals and patients stand to benefit from continued technical advances and studies in these domains. To address these points, this study reports a N-of-1 study comprised of sustained regimens of intermittent fasting, fitness (strength and cardiovascular training), and high protein, low carbohydrate diet and parallel monitoring. These regimens were paired with serial blood ketone, blood glucose (wearable and finger stick) and blood pressure readings, as well as body weight measurements using a collection of devices. Collectively this suite of platforms and approaches were used to monitor metabolic switching from glucose to ketones as energy sources-a process associated with potential cardio- and neuroprotective functions. In addition to longitudinal biomarker dynamics, this work discusses user perspectives on the potential role of harnessing digital devices to these dynamics as potential gamification factors, as well as considerations for the role of biomarker monitoring in health regimen development, user stratification, and potentially informing downstream population-scale studies to address metabolic disease, healthy aging and longevity, among other indications.

Indexed as

biomarkergamificationintermittent fastingmetabolic switchingN-of-1 health

Identifiers

PMID38881838
PMCPMC11179112

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.