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Sociodemographic features associated with the MoCA, SPPB, and GDS scores in a community-dwelling elderly population

BACKGROUND: An accurate evaluation of cognitive function, physical health, and psychological health is fundamental for assessing health problems in the elderly population, and it is important to identify the necessity of early therapeutic intervention. The objective of this study was to evaluate the...

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Autores principales: Zhang, Peng, Abudukelimu, Nazhakaiti, Sali, Ayijiamal, Chen, Jin-Xia, Li, Min, Mao, Yan-Yan, Zhu, Yi, Zhu, Qian-Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500811/
https://www.ncbi.nlm.nih.gov/pubmed/37704972
http://dx.doi.org/10.1186/s12877-023-04162-z
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author Zhang, Peng
Abudukelimu, Nazhakaiti
Sali, Ayijiamal
Chen, Jin-Xia
Li, Min
Mao, Yan-Yan
Zhu, Yi
Zhu, Qian-Xi
author_facet Zhang, Peng
Abudukelimu, Nazhakaiti
Sali, Ayijiamal
Chen, Jin-Xia
Li, Min
Mao, Yan-Yan
Zhu, Yi
Zhu, Qian-Xi
author_sort Zhang, Peng
collection PubMed
description BACKGROUND: An accurate evaluation of cognitive function, physical health, and psychological health is fundamental for assessing health problems in the elderly population, and it is important to identify the necessity of early therapeutic intervention. The objective of this study was to evaluate the states of mental and physical functions and to investigate the relationships between sociodemographic features and these functions in a community-dwelling elderly population. METHODS: This community-based cross-sectional study was conducted in a suburban district of Shanghai, China. A total of 1025 participants aged 60–89 years underwent investigations of demographic and lifestyle features and a multidimensional geriatric evaluation comprising the Montreal Cognitive Assessment (MoCA), Short Physical Performance Battery (SPPB), and Geriatric Depression Scale (GDS). RESULTS: The results of the multivariate linear regression models demonstrated that the MoCA and SPPB scores decreased with advancing age (all P < 0.01). However, the GDS score did not exhibit an age-related decrease (P = 0.09). Both sex and living alone influenced the MoCA score (P < 0.01 and P = 0.04, respectively), SPPB score (P < 0.01 and P = 0.04, respectively), and GDS score (P < 0.01 and P < 0.01, respectively). A higher education level was related to better MoCA and SPPB scores (all P < 0.01). Furthermore, age and sex had interactive effects on the MoCA score (P = 0.03) and SPPB score (P < 0.01). The kernel-weighted local polynomial smoothing curves exhibited similar trends. CONCLUSIONS: It is imperative to develop a more sensitive evaluation of physical function, and to encourage various intellectually and emotionally stimulating social activity strategies to promote healthy aging, especially in elderly women and those living alone who have a low education level.
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spelling pubmed-105008112023-09-15 Sociodemographic features associated with the MoCA, SPPB, and GDS scores in a community-dwelling elderly population Zhang, Peng Abudukelimu, Nazhakaiti Sali, Ayijiamal Chen, Jin-Xia Li, Min Mao, Yan-Yan Zhu, Yi Zhu, Qian-Xi BMC Geriatr Research BACKGROUND: An accurate evaluation of cognitive function, physical health, and psychological health is fundamental for assessing health problems in the elderly population, and it is important to identify the necessity of early therapeutic intervention. The objective of this study was to evaluate the states of mental and physical functions and to investigate the relationships between sociodemographic features and these functions in a community-dwelling elderly population. METHODS: This community-based cross-sectional study was conducted in a suburban district of Shanghai, China. A total of 1025 participants aged 60–89 years underwent investigations of demographic and lifestyle features and a multidimensional geriatric evaluation comprising the Montreal Cognitive Assessment (MoCA), Short Physical Performance Battery (SPPB), and Geriatric Depression Scale (GDS). RESULTS: The results of the multivariate linear regression models demonstrated that the MoCA and SPPB scores decreased with advancing age (all P < 0.01). However, the GDS score did not exhibit an age-related decrease (P = 0.09). Both sex and living alone influenced the MoCA score (P < 0.01 and P = 0.04, respectively), SPPB score (P < 0.01 and P = 0.04, respectively), and GDS score (P < 0.01 and P < 0.01, respectively). A higher education level was related to better MoCA and SPPB scores (all P < 0.01). Furthermore, age and sex had interactive effects on the MoCA score (P = 0.03) and SPPB score (P < 0.01). The kernel-weighted local polynomial smoothing curves exhibited similar trends. CONCLUSIONS: It is imperative to develop a more sensitive evaluation of physical function, and to encourage various intellectually and emotionally stimulating social activity strategies to promote healthy aging, especially in elderly women and those living alone who have a low education level. BioMed Central 2023-09-13 /pmc/articles/PMC10500811/ /pubmed/37704972 http://dx.doi.org/10.1186/s12877-023-04162-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Zhang, Peng
Abudukelimu, Nazhakaiti
Sali, Ayijiamal
Chen, Jin-Xia
Li, Min
Mao, Yan-Yan
Zhu, Yi
Zhu, Qian-Xi
Sociodemographic features associated with the MoCA, SPPB, and GDS scores in a community-dwelling elderly population
title Sociodemographic features associated with the MoCA, SPPB, and GDS scores in a community-dwelling elderly population
title_full Sociodemographic features associated with the MoCA, SPPB, and GDS scores in a community-dwelling elderly population
title_fullStr Sociodemographic features associated with the MoCA, SPPB, and GDS scores in a community-dwelling elderly population
title_full_unstemmed Sociodemographic features associated with the MoCA, SPPB, and GDS scores in a community-dwelling elderly population
title_short Sociodemographic features associated with the MoCA, SPPB, and GDS scores in a community-dwelling elderly population
title_sort sociodemographic features associated with the moca, sppb, and gds scores in a community-dwelling elderly population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500811/
https://www.ncbi.nlm.nih.gov/pubmed/37704972
http://dx.doi.org/10.1186/s12877-023-04162-z
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