Evidence map›Paper›PMID 33292160›Full record

ArticleEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2020

Map-based assessment of older adults' life space: validity and reliability.

Timo Hinrichs, Adriana Zanda, Michelle P Fillekes, Pia Bereuter, Erja Portegijs, Taina Rantanen, Arno Schmidt-Trucksäss, Andreas W Zeller, Robert Weibel

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Article in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Evidence-based yet still challenging! Research on physical activity in old age.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023
    Article
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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.

Timo HinrichsDivision of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland. timo.hinrichs@unibas.ch.ORCID http://orcid.org/0000-0001-6200-307X
Adriana ZandaDepartment of Geography, University of Zurich, Zurich, Switzerland.
Michelle P FillekesDepartment of Geography, University of Zurich, Zurich, Switzerland.
Pia BereuterInstitute of Geomatics Engineering, University of Applied Sciences and Arts, Northwestern Switzerland, Muttenz, Switzerland.
Erja PortegijsFaculty of Sport and Health Sciences and Gerontology Research Center, University of Jyvaskyla, Jyvaskyla, Finland.
Taina RantanenFaculty of Sport and Health Sciences and Gerontology Research Center, University of Jyvaskyla, Jyvaskyla, Finland.
Arno Schmidt-TrucksässDivision of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland.
Andreas W ZellerCentre for Primary Health Care, University of Basel, Basel, Switzerland.
Robert WeibelDepartment of Geography, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMap-based tools have recently found their way into health-related research. They can potentially be used to quantify older adults' life-space. This study aimed to evaluate the validity (vs. GPS) and the test-retest reliability of a map-based life-space assessment (MBA).

methodsLife-space of one full week was assessed by GPS and by MBA. MBA was repeated after approximately 3 weeks. Distance-related (mean and maximum distance from home) and area-related (convex hull, standard deviational ellipse) life-space indicators were calculated. Intraclass correlations (MBA vs. GPS and test-retest) were calculated in addition to Bland-Altman analyses (MBA vs. GPS).

resultsFifty-eight older adults (mean age 74, standard deviation 5.5 years; 39.7% women) participated in the study. Bland-Altman analyses showed the highest agreement between methods for the maximum distance from home. Intraclass correlation coefficients ranged between 0.19 (95% confidence interval 0 to 0.47) for convex hull and 0.72 (95% confidence interval 0.52 to 0.84) for maximum distance from home. Intraclass correlation coefficients for test-retest reliability ranged between 0.04 (95% confidence interval 0 to 0.30) for convex hull and 0.43 (95% confidence interval 0.19 to 0.62) for mean distance from home.

conclusionsWhile acceptable validity and reliability were found for the distance-related life-space parameters, MBA cannot be recommended for the assessment of area-related life-space parameters.

Indexed as

AgedEnvironmentGeographic information systemsMobility

Identifiers

PMID33292160
PMCPMC7700712

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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.