Evidence map›Paper›PMID 41418285›Full record

ArticleJMIR research protocols2025

Elderly Activity Life-Space Envelopes (EASE): Development and Feasibility of a Comprehensive, Integrated Protocol for Life-Space Mobility Research in Population Health.

Yee Sien Ng, Fang Zhao, Lynn Yi-Ching Ho, Laura Tay, Eugene Shum, Aisyah Latib, Silvana Choo, Sharon Chew, Teresa Leong, Yong Hao Pua and 13 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

23 authors.

Yee Sien NgCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0000-0003-1377-5852
Fang ZhaoMobile Market Monitor, Boston, MA, United States.ORCID 0000-0002-3434-6689
Lynn Yi-Ching HoCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0000-0001-6317-8525
Laura TayCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0000-0002-9330-8172
Eugene ShumCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0000-0002-7246-4045
Aisyah LatibCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0009-0005-3570-7561
Silvana ChooCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0000-0002-2839-2830
Sharon ChewCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0000-0002-5338-3151
Teresa LeongCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0009-0007-3227-5825
Yong Hao PuaCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0000-0003-2313-9665
Belinda YuenSingapore University of Technology and Design, Singapore, Singapore.ORCID 0000-0003-0823-4269
Sam Conrad JoyceSingapore University of Technology and Design, Singapore, Singapore.ORCID 0000-0001-6637-4193
Xin YangSingapore University of Technology and Design, Singapore, Singapore.ORCID 0000-0002-4767-2475
Angelique ChanDuke-NUS Medical School, Singapore, Singapore.ORCID 0000-0001-8979-5142
Ad MaulodDuke-NUS Medical School, Singapore, Singapore.ORCID 0000-0002-7266-5218
Yunjie WongDuke-NUS Medical School, Singapore, Singapore.ORCID 0009-0007-4883-6885
Donny SohSingapore Institute of Technology, Singapore, Singapore.ORCID 0000-0002-5505-7501
Rajesh Krishna BalanSingapore Management University, Singapore, Singapore.ORCID 0000-0001-6289-9902
Lian Leng LowCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0000-0003-4228-2862
Julian ThumbooCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0000-0001-6712-5535
Yew Yoong DingGeriatric Education and Research Institute, Singapore, Singapore.ORCID 0000-0002-3128-8954
Helen Marie HoenigDuke University, Durham, NC, United States.ORCID 0000-0002-6682-2627
Sapphire LinCentre for Population Health Research and Implementation, SingHealth, 10 Hospital Blvd, Singapore, 168582, Singapore, 1 63266667.ORCID 0000-0002-9430-1239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Life-space mobility (LSM) refers to the movement of people over time and the areas through which they move to achieve life goals of health, employment, security, and participation for active aging. Objective: The Elderly Activity Life-Space Envelopes program is a large interdisciplinary mixed methods LSM study in older adults of 50 years and above. The overarching aims were to discover why, where, and when older adults travel and how they get to their destinations. Methods: In this paper, we focus on the methodology of the main quantitative phase. This community-based study comprised an in-person multidomain geriatric assessment with physical performance measures, followed by a 14-day travel diary. For the multidomain geriatric assessment, we structurally underpinned important population health constructs including the WHO International Classification of Functioning, Disability and Health, Frailty, and Intrinsic Capacity. We also described home meso-environments by incorporating authoritative open-source environmental attributes. These facilitated the categorization of LSM determinants into health, social, and environmental domains. The LSM outcomes include self-reported and objective geographical information science LSM measures. We further developed a suite of geographical information science LSM outcomes in alignment with our overarching aims. Quota sampling based on age groups, housing typology, and frailty status was applied. A customized, smartphone-based digital travel diary was designed, and barometric sensors were enabled to capture 3D LSM in capable smartphones. Results: We recruited 1131 older adults with an average age of 63.8 (SD 7.6) years. The large majority (n=1062, 95%) successfully documented their travel diary on their smartphones with the rest on paper-based travel diaries. For the digital data, a total of 88,166 node points were recorded. There were 76,741 trips and 106,323 trip legs documented through the e-travel diary platform. Valid vertical LSM data were obtained from 228 participants. The majority (n=842, 75%) lived in public apartments, and 29% (n=326) were prefrail or frail. Conclusions: We provide a practical, feasible yet comprehensive protocol integrating LSM within important population health themes. Also, the development of an objective, systematic outcomes framework will form the basis for future LSM studies in the field. We aim to analyze the interactions between LSM outcomes, explore its diverse determinants, and identify senior travel phenotypes. We hope to develop interdisciplinary policy-driven interventions to ultimately improve the quality of life in older adults.

Indexed as

Geriatric AssessmentPopulation HealthTravelActivities of Daily LivingAgedAged, 80 and overFeasibility StudiesFemaleHumansMaleMiddle AgedResearch Designcommunity mobilitycommunity participationgeospatial analysispreventative healthtravel behavior

Identifiers

PMID41418285
PMCPMC12716834

What OpenQuestion holds

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LicenceCC BY
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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.