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The sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute?

BACKGROUND: This study explores whether a sex difference in sensitivity to (strength of the association) and/or in exposure to (prevalence) determinants of gait speed contributes to the observed lower gait speed among older women compared to men. METHODS: Data from the Longitudinal Aging Study Amste...

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Autores principales: Sialino, Lena D., Schaap, Laura A., van Oostrom, Sandra H., Picavet, H. Susan J., Twisk, Johannes W.R., Verschuren, W. M. Monique, Visser, Marjolein, Wijnhoven, Hanneke A.H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173843/
https://www.ncbi.nlm.nih.gov/pubmed/34078276
http://dx.doi.org/10.1186/s12877-021-02279-7
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author Sialino, Lena D.
Schaap, Laura A.
van Oostrom, Sandra H.
Picavet, H. Susan J.
Twisk, Johannes W.R.
Verschuren, W. M. Monique
Visser, Marjolein
Wijnhoven, Hanneke A.H.
author_facet Sialino, Lena D.
Schaap, Laura A.
van Oostrom, Sandra H.
Picavet, H. Susan J.
Twisk, Johannes W.R.
Verschuren, W. M. Monique
Visser, Marjolein
Wijnhoven, Hanneke A.H.
author_sort Sialino, Lena D.
collection PubMed
description BACKGROUND: This study explores whether a sex difference in sensitivity to (strength of the association) and/or in exposure to (prevalence) determinants of gait speed contributes to the observed lower gait speed among older women compared to men. METHODS: Data from the Longitudinal Aging Study Amsterdam (LASA) were used. In total 2407 men and women aged 55–81 years were included, with baseline measurements in 1992/2002 and follow-up measurements every 3–4 years for 15/25 years. Multivariable mixed model analysis was used to investigate sex differences in sensitivity (interaction term with sex) and in exposure to (change of the sex difference when adjusted) socio-demographic, lifestyle, social and health determinants of gait speed. RESULTS: Women had a 0.054 m/s (95 % CI: 0.076 − 0.033, adjusted for height and age) lower mean gait speed compared to men. In general, men and women had similar determinants of gait speed. However, higher BMI and lower physical activity were more strongly associated with lower gait speed in women compared to men (i.e. higher sensitivity). More often having a lower educational level, living alone and having more chronic diseases, pain and depressive symptoms among women compared to men also contributed to observed lower gait speed in women (i.e. higher exposure). In contrast, men more often being a smoker, having a lower physical activity and a smaller personal network size compared to women contributed to a lower gait speed among men (i.e. higher exposure). CONCLUSIONS: Both a higher sensitivity and higher exposure to determinants of gait speed among women compared to men contributes to the observed lower gait speed among older women. The identified (modifiable) contributing factors should be taken into account when developing prevention and/or treatment strategies aimed to enhance healthy physical aging. This might require a sex-specific approach in both research and clinical practice, which is currently often lacking. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02279-7.
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spelling pubmed-81738432021-06-03 The sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute? Sialino, Lena D. Schaap, Laura A. van Oostrom, Sandra H. Picavet, H. Susan J. Twisk, Johannes W.R. Verschuren, W. M. Monique Visser, Marjolein Wijnhoven, Hanneke A.H. BMC Geriatr Research BACKGROUND: This study explores whether a sex difference in sensitivity to (strength of the association) and/or in exposure to (prevalence) determinants of gait speed contributes to the observed lower gait speed among older women compared to men. METHODS: Data from the Longitudinal Aging Study Amsterdam (LASA) were used. In total 2407 men and women aged 55–81 years were included, with baseline measurements in 1992/2002 and follow-up measurements every 3–4 years for 15/25 years. Multivariable mixed model analysis was used to investigate sex differences in sensitivity (interaction term with sex) and in exposure to (change of the sex difference when adjusted) socio-demographic, lifestyle, social and health determinants of gait speed. RESULTS: Women had a 0.054 m/s (95 % CI: 0.076 − 0.033, adjusted for height and age) lower mean gait speed compared to men. In general, men and women had similar determinants of gait speed. However, higher BMI and lower physical activity were more strongly associated with lower gait speed in women compared to men (i.e. higher sensitivity). More often having a lower educational level, living alone and having more chronic diseases, pain and depressive symptoms among women compared to men also contributed to observed lower gait speed in women (i.e. higher exposure). In contrast, men more often being a smoker, having a lower physical activity and a smaller personal network size compared to women contributed to a lower gait speed among men (i.e. higher exposure). CONCLUSIONS: Both a higher sensitivity and higher exposure to determinants of gait speed among women compared to men contributes to the observed lower gait speed among older women. The identified (modifiable) contributing factors should be taken into account when developing prevention and/or treatment strategies aimed to enhance healthy physical aging. This might require a sex-specific approach in both research and clinical practice, which is currently often lacking. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02279-7. BioMed Central 2021-06-02 /pmc/articles/PMC8173843/ /pubmed/34078276 http://dx.doi.org/10.1186/s12877-021-02279-7 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
Sialino, Lena D.
Schaap, Laura A.
van Oostrom, Sandra H.
Picavet, H. Susan J.
Twisk, Johannes W.R.
Verschuren, W. M. Monique
Visser, Marjolein
Wijnhoven, Hanneke A.H.
The sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute?
title The sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute?
title_full The sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute?
title_fullStr The sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute?
title_full_unstemmed The sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute?
title_short The sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute?
title_sort sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173843/
https://www.ncbi.nlm.nih.gov/pubmed/34078276
http://dx.doi.org/10.1186/s12877-021-02279-7
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