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Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review

Background: Aging is widely known to be associated with changes in standing posture. Recent advancements in the field of computerized image processing have allowed for improved analyses of several health conditions using photographs. However, photogrammetry’s potential for assessing aging-associated...

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Autores principales: Dilian, Omer, Kimmel, Ron, Tezmah-Shahar, Roy, Agmon, Maayan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459795/
https://www.ncbi.nlm.nih.gov/pubmed/36081099
http://dx.doi.org/10.3390/s22176640
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author Dilian, Omer
Kimmel, Ron
Tezmah-Shahar, Roy
Agmon, Maayan
author_facet Dilian, Omer
Kimmel, Ron
Tezmah-Shahar, Roy
Agmon, Maayan
author_sort Dilian, Omer
collection PubMed
description Background: Aging is widely known to be associated with changes in standing posture. Recent advancements in the field of computerized image processing have allowed for improved analyses of several health conditions using photographs. However, photogrammetry’s potential for assessing aging-associated postural changes is yet unclear. Thus, the aim of this review is to evaluate the potential of photogrammetry in quantifying age-related postural changes. Materials and Methods: We searched the databases PubMed Central, Scopus, Embase, and SciELO from the beginning of records to March 2021. Inclusion criteria were: (a) participants were older adults aged ≥60; (b) standing posture was assessed by photogrammetric means. PRISMA guidelines were followed. We used the Newcastle–Ottawa Scale to assess methodological quality. Results: Of 946 articles reviewed, after screening and the removal of duplicates, 11 reports were found eligible for full-text assessment, of which 5 full studies met the inclusion criteria. Significant changes occurring with aging included deepening of thoracic kyphosis, flattening of lumbar lordosis, and increased sagittal inclination. Conclusions: These changes agree with commonly described aging-related postural changes. However, detailed quantification of these changes was not found; the photogrammetrical methods used were often unvalidated and did not adhere to known protocols. These methodological difficulties call for further studies using validated photogrammetrical methods and improved research methodologies.
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spelling pubmed-94597952022-09-10 Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review Dilian, Omer Kimmel, Ron Tezmah-Shahar, Roy Agmon, Maayan Sensors (Basel) Systematic Review Background: Aging is widely known to be associated with changes in standing posture. Recent advancements in the field of computerized image processing have allowed for improved analyses of several health conditions using photographs. However, photogrammetry’s potential for assessing aging-associated postural changes is yet unclear. Thus, the aim of this review is to evaluate the potential of photogrammetry in quantifying age-related postural changes. Materials and Methods: We searched the databases PubMed Central, Scopus, Embase, and SciELO from the beginning of records to March 2021. Inclusion criteria were: (a) participants were older adults aged ≥60; (b) standing posture was assessed by photogrammetric means. PRISMA guidelines were followed. We used the Newcastle–Ottawa Scale to assess methodological quality. Results: Of 946 articles reviewed, after screening and the removal of duplicates, 11 reports were found eligible for full-text assessment, of which 5 full studies met the inclusion criteria. Significant changes occurring with aging included deepening of thoracic kyphosis, flattening of lumbar lordosis, and increased sagittal inclination. Conclusions: These changes agree with commonly described aging-related postural changes. However, detailed quantification of these changes was not found; the photogrammetrical methods used were often unvalidated and did not adhere to known protocols. These methodological difficulties call for further studies using validated photogrammetrical methods and improved research methodologies. MDPI 2022-09-02 /pmc/articles/PMC9459795/ /pubmed/36081099 http://dx.doi.org/10.3390/s22176640 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Systematic Review
Dilian, Omer
Kimmel, Ron
Tezmah-Shahar, Roy
Agmon, Maayan
Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review
title Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review
title_full Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review
title_fullStr Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review
title_full_unstemmed Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review
title_short Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review
title_sort can we quantify aging-associated postural changes using photogrammetry? a systematic review
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459795/
https://www.ncbi.nlm.nih.gov/pubmed/36081099
http://dx.doi.org/10.3390/s22176640
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