Evidence map›Paper›PMID 41064239›Full record

ArticlePNAS nexus2025

American Life in Realtime: Benchmark, publicly available person-generated health data for equity in precision health.

Ritika R Chaturvedi, Marco Angrisani, Wendy M Troxel, Monika Jain, Tania Gutsche, Eva Ortega, Adrien Boch, Citina Liang, Shiyang Sima, Aziz Mezlini and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PNAS nexus, 2025. 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
–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

2 citing papers in PubMed.

  1. Observational
  2. 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

17 authors.

Ritika R ChaturvediCenter for Economic and Social Research, University of Southern California, 635 Downey Way, Verna and Peter Dauterive Hall (VPD), Los Angeles, CA 90089, USA.ORCID https://orcid.org/0000-0002-0416-6134
Marco AngrisaniCenter for Economic and Social Research, University of Southern California, 635 Downey Way, Verna and Peter Dauterive Hall (VPD), Los Angeles, CA 90089, USA.ORCID https://orcid.org/0000-0002-6084-6388
Wendy M TroxelDivision of Social and Economic Wellbeing, RAND Corporation, 4570 Fifth Avenue, Pittsburgh, PA 15213, USA.
Monika JainEvidation Health, Inc., 63 Bovet Road #146, San Mateo, CA 94402, USA.ORCID https://orcid.org/0009-0005-9257-403X
Tania GutscheCenter for Economic and Social Research, University of Southern California, 635 Downey Way, Verna and Peter Dauterive Hall (VPD), Los Angeles, CA 90089, USA.ORCID https://orcid.org/0000-0003-4047-7287
Eva OrtegaCenter for Economic and Social Research, University of Southern California, 635 Downey Way, Verna and Peter Dauterive Hall (VPD), Los Angeles, CA 90089, USA.
Adrien BochEvidation Health, Inc., 63 Bovet Road #146, San Mateo, CA 94402, USA.
Citina LiangViterbi School of Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.ORCID https://orcid.org/0009-0001-5039-1973
Shiyang SimaDaniels School of Business, Purdue University, 403 Mitch Daniels Blvd, West Lafayette, IN 47907, USA.ORCID https://orcid.org/0009-0004-6213-3914
Aziz MezliniEvidation Health, Inc., 63 Bovet Road #146, San Mateo, CA 94402, USA.
Eric J DazaEvidation Health, Inc., 63 Bovet Road #146, San Mateo, CA 94402, USA.
Miad BoodaghidizajiCollege of Engineering, Purdue University, 701 W Stadium Ave #3000, West Lafayette, IN 47907, USA.
Sze-Chuan SuenViterbi School of Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.ORCID https://orcid.org/0000-0001-9453-5863
Alok R ChaturvediDaniels School of Business, Purdue University, 403 Mitch Daniels Blvd, West Lafayette, IN 47907, USA.ORCID https://orcid.org/0000-0003-4666-0197
Hossein GhasemkhaniDaniels School of Business, Purdue University, 403 Mitch Daniels Blvd, West Lafayette, IN 47907, USA.ORCID https://orcid.org/0000-0001-9018-1295
Arezoo M ArdekaniCollege of Engineering, Purdue University, 701 W Stadium Ave #3000, West Lafayette, IN 47907, USA.ORCID https://orcid.org/0000-0003-3301-3193
Arie KapteynCenter for Economic and Social Research, University of Southern California, 635 Downey Way, Verna and Peter Dauterive Hall (VPD), Los Angeles, CA 90089, USA.ORCID https://orcid.org/0000-0002-1855-5528

Funding

Enhancing engagement and participation of marginalized community residents in the UASU01AG077280 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arie Kapteyn · 2023 to 2026
$50.9M
Toward Next Generation Data on Health and Life Changes at Older Ages: Administrative Supplement to track the effects of the COVID-19 pandemic on American familiesU01AG054580 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2017 to 2022
$27.3M
Using passively collected person-generated health data to explore population-specific relationships between social determinants of health, sleep patterns, and cognitive outcomesR01LM013237 · NLM · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHATURVEDI, RITIKA RATNAM · 2020 to 2023
$1.4M
NIA NIH HHS U01 AG054580NIA NIH HHS U01 AG077280NLM NIH HHS R01 LM013237
6 · The paper itself

Abstract

Person-generated health data (PGHD) from smartphones/wearables are invaluable for precision health, a field promoting health equity through tailored disease prevention, detection, and intervention strategies. However, pervasive convenience sampling in extant PGHD research introduces selection biases that systematically underrepresent disadvantaged groups, limit model generalizability, and risk exacerbating health disparities. Benchmark PGHD (representative, validated, longitudinal, and frequently repeated) are urgently needed to support model equity. To address this fieldwide limitation, we established American Life in Realtime (ALiR), a longitudinal population health study involving PGHD collected from a probability-based, nationally representative cohort using study-provided Fitbits and (as needed) 4G tablets. As a result, ALiR's 1,038 participants are broadly representative across comprehensive sociodemographic, behavioral, and health-related US population norms, overcoming disparities in established convenience samples (e.g. NIH's

Indexed as

Biologicaldigital healthHealthhealth equityMedical Sciences/Public Health and Epidemiologymodel generalizabilityperson-generated health dataprecision health

Identifiers

PMID41064239
PMCPMC12501968

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.