Verification of a comprehensive framework for mobility using data from the Canadian Longitudinal Study on Aging: a structural equation modeling analysis

Abstract Background Mobility within and between life spaces is fundamental for health and well-being. Our objective was to verify a comprehensive framework for mobility. Methods This was a cross-sectional study. We used structural equation modeling to estimate associations between latent factors wit...

Full description

Bibliographic Details
Main Authors: Sandra C. Webber, Yixiu Liu, Depeng Jiang, Jacquie Ripat, Scott Nowicki, Robert Tate, Ruth Barclay
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Geriatrics
Subjects:
Online Access:https://doi.org/10.1186/s12877-023-04566-x
_version_ 1827590334025039872
author Sandra C. Webber
Yixiu Liu
Depeng Jiang
Jacquie Ripat
Scott Nowicki
Robert Tate
Ruth Barclay
author_facet Sandra C. Webber
Yixiu Liu
Depeng Jiang
Jacquie Ripat
Scott Nowicki
Robert Tate
Ruth Barclay
author_sort Sandra C. Webber
collection DOAJ
description Abstract Background Mobility within and between life spaces is fundamental for health and well-being. Our objective was to verify a comprehensive framework for mobility. Methods This was a cross-sectional study. We used structural equation modeling to estimate associations between latent factors with data from the Canadian Longitudinal Study on Aging for participants 65–85 years of age (65+, n = 11,667) and for adults with osteoarthritis (OA) aged 45–85 (n = 5,560). Latent factors included life space mobility, and physical, psychosocial, environmental, financial, and cognitive elements. Personal variables (age, sex, education) were covariates. Results The models demonstrated good fit (65+: CFI = 0.90, RMSEA (90% CI) = 0.025 (0.024, 0.026); OA: CFI = 0.90, RMSEA (90% CI) = 0.032 (0.031, 0.033)). In both models, better psychosocial and physical health, and being less afraid to walk after dark (observed environmental variable) were associated with greater life space mobility. Greater financial status was associated with better psychosocial and physical health. Higher education was related to better cognition and finances. Older age was associated with lower financial status, cognition, and physical health. Cognitive health was positively associated with greater mobility only in the 65 + model. Models generated were equivalent for males and females. Conclusions Associations between determinants described in the mobility framework were verified with adults 65–85 years of age and in an OA group when all factors were considered together using SEM. These results have implications for clinicians and researchers in terms of important outcomes when assessing life space mobility; findings support interdisciplinary analyses that include evaluation of cognition, depression, anxiety, environmental factors, and community engagement, as well as physical and financial health. Public policies that influence older adults and their abilities to access communities beyond their homes need to reflect the complexity of factors that influence life space mobility at both individual and societal levels.
first_indexed 2024-03-09T01:15:26Z
format Article
id doaj.art-2d1a9bbd40534dc39118c8fc443f4a5c
institution Directory Open Access Journal
issn 1471-2318
language English
last_indexed 2024-03-09T01:15:26Z
publishDate 2023-12-01
publisher BMC
record_format Article
series BMC Geriatrics
spelling doaj.art-2d1a9bbd40534dc39118c8fc443f4a5c2023-12-10T12:30:50ZengBMCBMC Geriatrics1471-23182023-12-0123111110.1186/s12877-023-04566-xVerification of a comprehensive framework for mobility using data from the Canadian Longitudinal Study on Aging: a structural equation modeling analysisSandra C. Webber0Yixiu Liu1Depeng Jiang2Jacquie Ripat3Scott Nowicki4Robert Tate5Ruth Barclay6Department of Physical Therapy, College of Rehabilitation Sciences, Rady Faculty of Health Sciences, University of ManitobaDepartment of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of ManitobaDepartment of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of ManitobaDepartment of Occupational Therapy, College of Rehabilitation Sciences, Rady Faculty of Health Sciences, University of ManitobaDepartment of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of ManitobaDepartment of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of ManitobaDepartment of Physical Therapy, College of Rehabilitation Sciences, Rady Faculty of Health Sciences, University of ManitobaAbstract Background Mobility within and between life spaces is fundamental for health and well-being. Our objective was to verify a comprehensive framework for mobility. Methods This was a cross-sectional study. We used structural equation modeling to estimate associations between latent factors with data from the Canadian Longitudinal Study on Aging for participants 65–85 years of age (65+, n = 11,667) and for adults with osteoarthritis (OA) aged 45–85 (n = 5,560). Latent factors included life space mobility, and physical, psychosocial, environmental, financial, and cognitive elements. Personal variables (age, sex, education) were covariates. Results The models demonstrated good fit (65+: CFI = 0.90, RMSEA (90% CI) = 0.025 (0.024, 0.026); OA: CFI = 0.90, RMSEA (90% CI) = 0.032 (0.031, 0.033)). In both models, better psychosocial and physical health, and being less afraid to walk after dark (observed environmental variable) were associated with greater life space mobility. Greater financial status was associated with better psychosocial and physical health. Higher education was related to better cognition and finances. Older age was associated with lower financial status, cognition, and physical health. Cognitive health was positively associated with greater mobility only in the 65 + model. Models generated were equivalent for males and females. Conclusions Associations between determinants described in the mobility framework were verified with adults 65–85 years of age and in an OA group when all factors were considered together using SEM. These results have implications for clinicians and researchers in terms of important outcomes when assessing life space mobility; findings support interdisciplinary analyses that include evaluation of cognition, depression, anxiety, environmental factors, and community engagement, as well as physical and financial health. Public policies that influence older adults and their abilities to access communities beyond their homes need to reflect the complexity of factors that influence life space mobility at both individual and societal levels.https://doi.org/10.1186/s12877-023-04566-xAmbulationCLSALife spaceTransportation
spellingShingle Sandra C. Webber
Yixiu Liu
Depeng Jiang
Jacquie Ripat
Scott Nowicki
Robert Tate
Ruth Barclay
Verification of a comprehensive framework for mobility using data from the Canadian Longitudinal Study on Aging: a structural equation modeling analysis
BMC Geriatrics
Ambulation
CLSA
Life space
Transportation
title Verification of a comprehensive framework for mobility using data from the Canadian Longitudinal Study on Aging: a structural equation modeling analysis
title_full Verification of a comprehensive framework for mobility using data from the Canadian Longitudinal Study on Aging: a structural equation modeling analysis
title_fullStr Verification of a comprehensive framework for mobility using data from the Canadian Longitudinal Study on Aging: a structural equation modeling analysis
title_full_unstemmed Verification of a comprehensive framework for mobility using data from the Canadian Longitudinal Study on Aging: a structural equation modeling analysis
title_short Verification of a comprehensive framework for mobility using data from the Canadian Longitudinal Study on Aging: a structural equation modeling analysis
title_sort verification of a comprehensive framework for mobility using data from the canadian longitudinal study on aging a structural equation modeling analysis
topic Ambulation
CLSA
Life space
Transportation
url https://doi.org/10.1186/s12877-023-04566-x
work_keys_str_mv AT sandracwebber verificationofacomprehensiveframeworkformobilityusingdatafromthecanadianlongitudinalstudyonagingastructuralequationmodelinganalysis
AT yixiuliu verificationofacomprehensiveframeworkformobilityusingdatafromthecanadianlongitudinalstudyonagingastructuralequationmodelinganalysis
AT depengjiang verificationofacomprehensiveframeworkformobilityusingdatafromthecanadianlongitudinalstudyonagingastructuralequationmodelinganalysis
AT jacquieripat verificationofacomprehensiveframeworkformobilityusingdatafromthecanadianlongitudinalstudyonagingastructuralequationmodelinganalysis
AT scottnowicki verificationofacomprehensiveframeworkformobilityusingdatafromthecanadianlongitudinalstudyonagingastructuralequationmodelinganalysis
AT roberttate verificationofacomprehensiveframeworkformobilityusingdatafromthecanadianlongitudinalstudyonagingastructuralequationmodelinganalysis
AT ruthbarclay verificationofacomprehensiveframeworkformobilityusingdatafromthecanadianlongitudinalstudyonagingastructuralequationmodelinganalysis