Evidence map›Paper›PMID 40307713›Full record

ArticleBMC geriatrics2025

Life-space mobility trajectory patterns and associated characteristics in older cancer survivors: a secondary data analysis.

Richard A Taylor, Marie Bakitas, Rachel Wells, J Nicholas Odom, Richard Kennedy, Grant R Williams, Jennifer Frank, Peng Li

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In one paragraph

Article in BMC geriatrics, 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

8 authors.

Richard A TaylorSchool of Nursing, University of Alabama at Birmingham, 1701 University Boulevard, Birmingham, Al, USA. rtaylor@uabmc.edu.
Marie BakitasSchool of Nursing, University of Alabama at Birmingham, 1701 University Boulevard, Birmingham, Al, USA.
Rachel WellsSchool of Nursing, University of Alabama at Birmingham, 1701 University Boulevard, Birmingham, Al, USA.
J Nicholas OdomSchool of Nursing, University of Alabama at Birmingham, 1701 University Boulevard, Birmingham, Al, USA.
Richard KennedyDepartment of Medicine, Division of Gerontology, Geriatrics, and Palliative Care, University of Alabama at Birmingham, Birmingham, Al, USA.
Grant R WilliamsDepartment of Medicine, Division of Hematology & Oncology, University of Alabama at Birmingham, Birmingham, Al, USA.
Jennifer FrankSchool of Nursing, University of Alabama at Birmingham, 1701 University Boulevard, Birmingham, Al, USA.
Peng LiSchool of Nursing, University of Alabama at Birmingham, 1701 University Boulevard, Birmingham, Al, USA.

Funding

The American Cancer Society Doctoral Degree Scholarship No Number
6 · The paper itself

Abstract

backgroundLife-space mobility (LSM) measures the size of the real-world geographic area an individual purposely transverses in their daily life. While older cancer survivors often have declines in LSM that negatively affects their quality of life, independence, and social engagement the factors that predispose to adverse outcomes are unknown. Understanding different patterns of LSM and its decline can help identify those needing support. The purpose of this study was to identify: (1) LSM trajectory patterns and (2) factors associated with those patterns in older cancer survivors.

methodsThis paper reports a secondary data analysis of 153 participants with cancer ≥ 65 years from the University of Alabama Study of Aging. LSM was assessed using the UAB Life-Space Assessment-Composite score (LSA-C) at study entry and every 6 months for 96 months (LSA-C < 60 = restricted LSM). LSM trajectory patterns based on the LSA-C were determined using group-based trajectory analysis. A classification tree analysis revealed factors that predicted the trajectory patterns.

resultsParticipants (n = 153) were a mean age of 76.1 (SD 6.33), mostly male (58%), White (58%), married (55%) or widowed (37%), and had a diagnosis of prostate (37.3%), breast (20.3%), or colon (11.8%) cancer. Three LSM trajectory patterns were identified: (1) high start and stable (37.3%) with unrestricted LSM (LSA-C = 81.2) at study entry, which remained stable over time, (2) high start progressive decline (27.5%) with unrestricted LSM (LSA-C = 78.0) at study entry that progressively declined, and (3) low start progressive decline (35.3%) with restricted LSM level (LSA-C = 42.0) at study entry, which progressively declined. Each pattern was associated with a unique set of demographic and clinical characteristics. Baseline physical performance score was the most important predictor of the LSM trajectory patterns.

conclusionsThree distinct LSM trajectory patterns, each with unique demographic and clinical characteristics, were identified. Because older cancer survivors have distinct LSM patterns, interventions should be tailored to address specific characteristics and clinical needs. LSM measurement can contribute to assessment of older adults generally and should become part of standard assessment in older cancer survivors.

Indexed as

Activities of Daily LivingCancer SurvivorsMobility LimitationNeoplasmsQuality of LifeAgedAged, 80 and overFemaleHumansMaleSecondary Data AnalysisCancerCross-lag path modelGroup-based trajectory modelLife-space mobilityOlder adult cancer survivorsQuality of life

Identifiers

PMID40307713
PMCPMC12042436

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LicenceCC BY-NC-ND
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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.