Evidence map›Paper›PMID 41516649›Full record

Observational studySensors (Basel, Switzerland)2025

Assessment of Frailty in Community-Dwelling Older Adults Using Smartphone-Based Digital Lifelogging: A Multi-Center, Prospective Observational Study.

Janghyeon Kim, Namki Hong, Hee-Won Jung, Seungjin Baek, Sang Wouk Cho, Jungheui Kim, Changseok Lee, Subeom Lee, Bo-Young Youn

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Janghyeon KimDepartment of Style Tech, Hwasung Medi-Science University, Hwaseong-si 18274, Republic of Korea.ORCID 0000-0002-0688-5546
Namki HongDepartment of Internal Medicine, Endocrine Research Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0002-8246-1956
Hee-Won JungDivision of Geriatrics, Department of Internal Medicine, Asan Medical Center, College of Medicine, University of Ulsan, Seoul 05505, Republic of Korea.ORCID 0000-0002-2583-3354
Seungjin BaekDepartment of Internal Medicine, Endocrine Research Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0009-0006-9271-4802
Sang Wouk ChoDepartment of Internal Medicine, Endocrine Research Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0001-6780-1070
Jungheui KimInstitute for Innovation in Digital Healthcare, Yonsei University Health System, Seoul 03722, Republic of Korea.ORCID 0009-0001-5863-3818
Changseok LeeDYPHI Research Institute, DYPHI Inc., Songpa-gu, Seoul 05836, Republic of Korea.ORCID 0000-0002-8825-5571
Subeom LeeDYPHI Research Institute, DYPHI Inc., Songpa-gu, Seoul 05836, Republic of Korea.
Bo-Young YounDepartment of Healthcare Management, College of Health and Medical Science, Daejeon University, Daejeon 34520, Republic of Korea.ORCID 0000-0001-5228-6627

Funding

Korea National Institute of Health 2023ER080702
6 · The paper itself

Abstract

Frailty in older adults is a multidimensional syndrome characterized by reduced physiological resilience and heightened vulnerability to adverse outcomes, yet conventional assessments remain largely clinic-based. This study evaluated the feasibility and explanatory utility of smartphone-based digital lifelogs for assessing frailty in community-dwelling older adults. In a prospective observational study, 300 participants (mean age 73.30, SD 5.37 years) from three sites in Seoul, South Korea, used a custom mobile application for two weeks that passively collected sensor-derived gait speed, 30 s sit-to-stand counts, and daily and hourly step counts, alongside self-reported ratings of perceived exertion and subjective health. Frailty Index (FI) scores were computed, and Pearson correlations, hierarchical linear regression, and independent linear regression were applied to examine associations and model explanatory performance. Significant correlations were observed between FI and gait speed, sit-to-stand performance, daily step counts, perceived exertion, and subjective health. Incorporating digital lifelogs significantly improved explained variance in frailty beyond clinical indicators (ΔR

Indexed as

FrailtyGeriatric AssessmentSmartphoneAgedAged, 80 and overFemaleFrail ElderlyGaitHumansIndependent LivingMaleMobile ApplicationsProspective StudiesRepublic of KoreaWalking Speeddigital healthdigital lifelogsfrailtymobile healtholder adults

Identifiers

PMID41516649
PMCPMC12788275

What OpenQuestion holds

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Registered trials

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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.