ArticleGeroScience2026
Distinct factors explain life space mobility below and above the age of 75 years old in older adults.
Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- Neighborhood greenspace and brain imaging outcomes in older adults without dementia from three US Alzheimer's Disease Research Centers.Health & place · 2026Article
- Understanding temporal changes in intrinsic capacity: analysis of domain-specific intrinsic capacity using SHARE data.GeroScience · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Life space mobility (LSM) is important for participation in daily life. It is influenced by individual and environmental factors and tends to decline with age. Although LSM has been studied in older adults, stratification of this population into age subgroups has not been performed, creating a gap in understanding the factors associated with LSM in a more granular manner. This cross-sectional study aimed to identify the factors associated with LSM in community-dwelling older adults below and above the age of 75. Participants aged 65 and older without neurological conditions or dementia were recruited. LSM was assessed using the Life Space Assessment (LSA), mobility with the Timed Up and Go test (TUG), cognition with the Montreal Cognitive Assessment (MoCA), fear of falling with the Activities-specific Balance Confidence scale (ABC), and depression with the Hospital Anxiety and Depression Scale (HADS). Additional self-reported data included employment/volunteering, frequency of leaving the house, functional status, and number of medications. Separate regression models were conducted for each age subgroup. Two-hundred forty-two older adults (28.9% men) were recruited (mean (SD) age 73.7(6.4) years), with 40.9% aged over 75. In the younger subgroup, sex, frequency of leaving the house, TUG, and employment/volunteer status significantly explained 42.8% of the variance in LSM. In the older subgroup, sex, age, ABC, MoCA, and TUG significantly explained 46.9% of the variance in LSM. Distinct factors are associated with LSM in each age subgroup. Accordingly, future interventions should be tailored for each subgroup individually.
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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.