Logo do repositório
 
Publicação

The role of postural and plantar pressure asymmetries predicting pain in aging adults

datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorDikhtyarenko, Svitlana
dc.contributor.authorEncarnação, Samuel
dc.contributor.authorEsteves, Dulce
dc.contributor.authorForte, Pedro
dc.date.accessioned2025-06-06T11:11:05Z
dc.date.available2025-06-06T11:11:05Z
dc.date.issued2025
dc.description.abstractResearch lacks an integrated approach that incorporates body composition, postural asymmetries, plantar pressure distribution, and sex comparisons to comprehensively understand the complex relationship between these variables and pain levels. The study employed an observational cross-sectional design. The study sample comprised 52 participants of both sexes. The average age of participants was 57.35 years for males and 64.69 years for females. Pain levels were assessed using the numeric pain rating scale. Group comparisons (t-test) and machine learning algorithms were employed for analysis. The results indicated sex differences in height, weight, lean mass percentage, basal metabolism, shoe size, left foot area, podal axis, and distance between foot and body center of pressure (COPs). Significant differences between sexes were also observed in shoulder angles (p = 0.002). Machine learning analysis revealed that neck left deviation and left knee angle were predictive of participants’ pain levels. In conclusion, this study highlights differences in baropodometry and anthropometrics between sexes, with neck deviation and left knee angle identified as predictors of pain levels.eng
dc.identifier.citationDikhtyarenko, Svitlana; Encarnação, Samuel; Esteves, Dulce; Forte, Pedro. (2025). The role of postural and plantar pressure asymmetries predicting pain in aging adults. AIMS Biophysics. ISSN 2377-9098. 12:2, p. 144-163
dc.identifier.doi10.3934/biophy.2025009
dc.identifier.issn2377-9098
dc.identifier.urihttp://hdl.handle.net/10198/34564
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAmerican Institute of Mathematical Sciences
dc.relation.ispartofAIMS Biophysics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBaropodometry
dc.subjectBioimpedance
dc.subjectArtificial intelligence
dc.subjectPhysical suffering
dc.titleThe role of postural and plantar pressure asymmetries predicting pain in aging adultseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage163
oaire.citation.issue2
oaire.citation.startPage144
oaire.citation.titleAIMS Biophysics
oaire.citation.volume12
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameEncarnação
person.familyNameForte
person.givenNameSamuel
person.givenNamePedro
person.identifier.ciencia-id9416-E2F5-E660
person.identifier.ciencia-id351B-B16B-79C7
person.identifier.orcid0000-0003-2965-2777
person.identifier.orcid0000-0003-0184-6780
relation.isAuthorOfPublicationd38d4c9f-84d5-4562-9482-5322ded17d3d
relation.isAuthorOfPublication3ecc6d1b-07a4-40d7-81f4-df6fd7b3d5b0
relation.isAuthorOfPublication.latestForDiscoveryd38d4c9f-84d5-4562-9482-5322ded17d3d

Ficheiros

Principais
A mostrar 1 - 1 de 1
A carregar...
Miniatura
Nome:
10.3934_biophy.2025009.pdf
Tamanho:
839.8 KB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.75 KB
Formato:
Item-specific license agreed upon to submission
Descrição: