Evidence map›Paper›PMID 39737610›Full record

ArticleJournal of the American Geriatrics Society2025

Life-Space Mobility Is Related to Loneliness Among Living-Alone Older Adults: Longitudinal Analysis With Motion Sensor Data.

Kexin Yu, Chao-Yi Wu, Lisa L Barnes, Lisa C Silbert, Zachary Beattie, Raina Croff, Lyndsey Miller, Hiroko H Dodge, Jeffrey A Kaye

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. 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

9 authors.

Kexin YuDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0003-4201-5270
Chao-Yi WuNIA-Layton Aging & Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Lisa L BarnesRush University Medical Center, Chicago, Illinois, USA.
Lisa C SilbertNIA-Layton Aging & Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Zachary BeattieNIA-Layton Aging & Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Raina CroffNIA-Layton Aging & Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Lyndsey MillerNIA-Layton Aging & Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Hiroko H DodgeNIA-Layton Aging & Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Jeffrey A KayeNIA-Layton Aging & Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KEVIN M DUFF, Lisa C Silbert · 2020 to 2026
$28.6M
Outreach, Recruitment and Education CoreP30AG008017 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI BEATTIE, ZACHARY · 1990 to 2019
$27.7M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
Risk Factors for Cognitive Decline in African-AmericansR01AG022018 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BARNES, LISA L · 2004 to 2025
$18.2M
Pilot CoreP30AG024978 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2004 to 2023
$9.0M
Resource CoreU2CAG054397 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2016 to 2019
$7.0M
Intelligent Systems for Detection of Aging ChangesR01AG024059 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2006 to 2010
$6.7M
Conversational Engagement as a Means to Delay Onset AD: Phase II Administrative SupplementR01AG051628 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI DODGE, HIROKO HAYAMA · 2016 to 2020
$4.8M
Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I Administrative SupplementR01AG056102 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI DODGE, HIROKO HAYAMA · 2017 to 2021
$4.6M
Examining the Longitudinal Influence of the Physical and Social Environments on Social Isolation and Cognitive Health: contextualizing the role of technology.K00AG068492 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI YU, KEXIN · 2022 to 2025
$345k
NIA NIH HHS K00 AG068492NIA NIH HHS K00AG068492NIA NIH HHS P30 AG008017NIA NIH HHS P30AG008017NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG024978NIA NIH HHS P30AG024978NIA NIH HHS P30 AG066518NIA NIH HHS P30AG066518NIA NIH HHS P30 AG072975NIA NIH HHS P30AG10161NIA NIH HHS P30AG72975NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG022018NIA NIH HHS R01 AG024059NIA NIH HHS R01AG024059NIA NIH HHS R01 AG051628NIA NIH HHS R01AG051628NIA NIH HHS R01 AG056102NIA NIH HHS R01AG056102NIA NIH HHS R01AG17917NIA NIH HHS R01AG22018NIA NIH HHS U2C AG054397NIA NIH HHS U2CAG054397U.S. Department of Veterans Affairs IIR 17-144
6 · The paper itself

Abstract

backgroundLife-space mobility can be a behavioral indicator of loneliness. This study examined the association between life-space mobility measured with motion sensors and weekly vs. annually reported loneliness.

methodsParticipants were older adults who lived alone. Passive infrared motion sensors were placed in the bathroom, bedroom, kitchen, and living room. Time spent in each room and out-of-home across the day was derived and used as the measure of life-space mobility. Participants reported via weekly questionnaires whether they felt lonely. In annual visits, the UCLA loneliness scale was administered to a subsample (n = 71), and the scores were categorized into high, moderate, and low groups. We used generalized estimating equations (GEE) to correlate life-space mobility with weekly and yearly loneliness. Repeated observations from each individual were bootstrapped for 1000 rounds to associate annual and weekly loneliness measures.

resultsWe analyzed 4995 weeks of data from 139 participants (age = 78.1 ± 8.6, 74% female, 23% African Americans, 14% with MCI diagnosis). An additional hour in the bedroom in the afternoon was associated with a 21.4% increased odds (OR = 1.214, p = 0.049) of experiencing loneliness in the week. An additional hour out-of-home in the morning and in the afternoon was associated with 18.2% (OR = 0.818, p = 0.040) and 15.3% (OR = 0.847, p = 0.018) fewer odds of experiencing weekly loneliness. In the subsample with annual loneliness assessments, an additional hour out-of-home was associated with 38.1% (OR = 0.619, p = 0.006) fewer odds of being in the high UCLA loneliness group. Compared with the low UCLA group, those with high UCLA scores were five times more likely to report loneliness weekly (OR = 5.260, p = 0.0004).

conclusionsFrequent and objective measurements of mobility combined with self-reported social wellbeing information can offer new insights into the experience of loneliness and provide opportunities for timely interventions.

Indexed as

Activities of Daily LivingIndependent LivingLonelinessAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleSurveys and Questionnairesenvironmental technologyliving alonelong‐term carelong‐term monitoringmeasurement frequency

Identifiers

PMID39737610
PMCPMC11970225

What OpenQuestion holds

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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.