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Exploring life-space in the nursing home. An observational longitudinal study

BACKGROUND: Traditional performance-based measurements of mobility fail to recognize the interaction between the individual and their environment. Life-space (LS) forms a central element in the broader context of mobility and has received growing attention in gerontology. Still, knowledge on LS in t...

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Autores principales: Sverdrup, Karen, Bergh, Sverre, Selbæk, Geir, Benth, Jūratė Šaltytė, Husebø, Bettina, Røen, Irene Mari, Thingstad, Pernille, Tangen, Gro Gujord
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243900/
https://www.ncbi.nlm.nih.gov/pubmed/34187380
http://dx.doi.org/10.1186/s12877-021-02345-0
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author Sverdrup, Karen
Bergh, Sverre
Selbæk, Geir
Benth, Jūratė Šaltytė
Husebø, Bettina
Røen, Irene Mari
Thingstad, Pernille
Tangen, Gro Gujord
author_facet Sverdrup, Karen
Bergh, Sverre
Selbæk, Geir
Benth, Jūratė Šaltytė
Husebø, Bettina
Røen, Irene Mari
Thingstad, Pernille
Tangen, Gro Gujord
author_sort Sverdrup, Karen
collection PubMed
description BACKGROUND: Traditional performance-based measurements of mobility fail to recognize the interaction between the individual and their environment. Life-space (LS) forms a central element in the broader context of mobility and has received growing attention in gerontology. Still, knowledge on LS in the nursing home (NH) remains sparse. The aim of this study was to identify LS trajectories in people with dementia from time of NH admission, and explore characteristics associated with LS over time. METHODS: In total, 583 people with dementia were included at NH admission and assessed biannually for 3 years. LS was assessed using the Nursing Home Life-Space Diameter. Association with individual (age, sex, general medical health, number of medications, pain, physical performance, dementia severity, and neuropsychiatric symptoms) and environmental (staff-to-resident ratio, unit size, and quality of the physical environment) characterises was assessed. We used a growth mixture model to identify LS trajectories and linear mixed model was used to explore characteristics associated with LS over time. RESULTS: We identified four groups of residents with distinct LS trajectories, labelled Group 1 (n = 19, 3.5%), Group 2 (n = 390, 72.1%), Group 3 (n = 56, 10.4%), Group 4 (n = 76, 14.0%). Being younger, having good compared to poor general medical health, less severe dementia, more agitation, less apathy, better physical performance and living in a smaller unit were associated with a wider LS throughout the study period. CONCLUSION: From NH admission most NH residents’ LS trajectory remained stable (Group 2), and their daily lives unfolded within their unit. Better physical performance and less apathy emerged as potentially modifiable characteristics associated with wider LS over time. Future studies are encouraged to determine whether LS trajectories in NH residents are modifiable, and we suggest that future research further explore the impact of environmental characteristics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02345-0.
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spelling pubmed-82439002021-06-30 Exploring life-space in the nursing home. An observational longitudinal study Sverdrup, Karen Bergh, Sverre Selbæk, Geir Benth, Jūratė Šaltytė Husebø, Bettina Røen, Irene Mari Thingstad, Pernille Tangen, Gro Gujord BMC Geriatr Research BACKGROUND: Traditional performance-based measurements of mobility fail to recognize the interaction between the individual and their environment. Life-space (LS) forms a central element in the broader context of mobility and has received growing attention in gerontology. Still, knowledge on LS in the nursing home (NH) remains sparse. The aim of this study was to identify LS trajectories in people with dementia from time of NH admission, and explore characteristics associated with LS over time. METHODS: In total, 583 people with dementia were included at NH admission and assessed biannually for 3 years. LS was assessed using the Nursing Home Life-Space Diameter. Association with individual (age, sex, general medical health, number of medications, pain, physical performance, dementia severity, and neuropsychiatric symptoms) and environmental (staff-to-resident ratio, unit size, and quality of the physical environment) characterises was assessed. We used a growth mixture model to identify LS trajectories and linear mixed model was used to explore characteristics associated with LS over time. RESULTS: We identified four groups of residents with distinct LS trajectories, labelled Group 1 (n = 19, 3.5%), Group 2 (n = 390, 72.1%), Group 3 (n = 56, 10.4%), Group 4 (n = 76, 14.0%). Being younger, having good compared to poor general medical health, less severe dementia, more agitation, less apathy, better physical performance and living in a smaller unit were associated with a wider LS throughout the study period. CONCLUSION: From NH admission most NH residents’ LS trajectory remained stable (Group 2), and their daily lives unfolded within their unit. Better physical performance and less apathy emerged as potentially modifiable characteristics associated with wider LS over time. Future studies are encouraged to determine whether LS trajectories in NH residents are modifiable, and we suggest that future research further explore the impact of environmental characteristics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02345-0. BioMed Central 2021-06-29 /pmc/articles/PMC8243900/ /pubmed/34187380 http://dx.doi.org/10.1186/s12877-021-02345-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sverdrup, Karen
Bergh, Sverre
Selbæk, Geir
Benth, Jūratė Šaltytė
Husebø, Bettina
Røen, Irene Mari
Thingstad, Pernille
Tangen, Gro Gujord
Exploring life-space in the nursing home. An observational longitudinal study
title Exploring life-space in the nursing home. An observational longitudinal study
title_full Exploring life-space in the nursing home. An observational longitudinal study
title_fullStr Exploring life-space in the nursing home. An observational longitudinal study
title_full_unstemmed Exploring life-space in the nursing home. An observational longitudinal study
title_short Exploring life-space in the nursing home. An observational longitudinal study
title_sort exploring life-space in the nursing home. an observational longitudinal study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243900/
https://www.ncbi.nlm.nih.gov/pubmed/34187380
http://dx.doi.org/10.1186/s12877-021-02345-0
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