{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T22:12:26Z","timestamp":1791324746692,"version":"4.3.1"},"reference-count":44,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background and Objectives<\/jats:title>\n                  <jats:p>In 2010, Webber and colleagues conceptualized the interrelationships between mobility determinants, and researchers tested Webber\u2019s framework using data from developed countries. No studies have tested this model using data from developing nations (e.g., Nigeria). This study aimed to simultaneously explore the cognitive, environmental, financial, personal, physical, psychological, and social influences and their interaction effects on the mobility outcomes among community-dwelling older adults in Nigeria.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Research Design and Methods<\/jats:title>\n                  <jats:p>This cross-sectional study recruited 227 older adults (mean age [standard deviation] = 66.6 [6.8] years). Performance-based mobility outcomes included gait speed, balance, and lower extremity strength, and were assessed using the Short Physical Performance Battery, whereas the self-reported mobility outcomes included inability to walk 0.5 km, 2 km, or climb a flight of stairs, assessed using the Manty Preclinical Mobility Limitation Scale. Regression analysis was used to determine the predictors of mobility outcomes.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The number of comorbidities (physical factor) negatively predicted all mobility outcomes, except the lower extremity strength. Age (personal factor) negatively predicted gait speed (\u03b2 = \u22120.192), balance (\u03b2 = \u22120.515), and lower extremity strength (\u03b2 = \u22120.225), and a history of no exercise (physical factor) positively predicted inability to walk 0.5 km (B = 1.401), 2 km (B = 1.295). Interactions between determinants improved the model, explaining the most variations in all the mobility outcomes. Living arrangement is the only factor that consistently interacted with other variables to improve the regression model for all mobility outcomes, except balance and self-reported inability to walk 2 km.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Discussion and Implications<\/jats:title>\n                  <jats:p>Interactions between determinants explain the most variations in all mobility outcomes, highlighting the complexity of mobility. This finding highlighted that factors predicting self-reported and performance-based mobility outcomes might differ, but this should be confirmed with a large data set.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/geroni\/igad019","type":"journal-article","created":{"date-parts":[[2023,3,2]],"date-time":"2023-03-02T13:16:34Z","timestamp":1677762994000},"source":"Crossref","is-referenced-by-count":8,"title":["Testing the Webber\u2019s Comprehensive Mobility Framework Using Self-Reported and Performance-Based Mobility Outcomes Among Community-Dwelling Older Adults in Nigeria"],"prefix":"10.1093","volume":"7","author":[{"given":"Ernest C","family":"Nwachuwku","sequence":"first","affiliation":[{"name":"Emerging Researchers & Professionals in Aging- African Network , Nigeria and Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Rayner","sequence":"additional","affiliation":[{"name":"Faculty of Health Science, McMaster University , Hamilton, Ontario , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael C","family":"Ibekaku","sequence":"additional","affiliation":[{"name":"Emerging Researchers & Professionals in Aging- African Network , Nigeria and Canada"},{"name":"School of Physiotherapy, Dalhousie University , Halifax, Nova Scotia , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ekezie C","family":"Uduonu","sequence":"additional","affiliation":[{"name":"Emerging Researchers & Professionals in Aging- African Network , Nigeria and Canada"},{"name":"Department of Medical Rehabilitation, Faculty of Health Science and Technology, University of Nigeria , Nsukka, Enugu State , Nigeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles I","family":"Ezema","sequence":"additional","affiliation":[{"name":"Department of Medical Rehabilitation, Faculty of Health Science and Technology, University of Nigeria , Nsukka, Enugu State , Nigeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2070-2213","authenticated-orcid":false,"given":"Michael E","family":"Kalu","sequence":"additional","affiliation":[{"name":"Emerging Researchers & Professionals in Aging- African Network , Nigeria and Canada"},{"name":"School of Physiotherapy, Dalhousie University , Halifax, Nova Scotia , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,3,1]]},"reference":[{"issue":"2","key":"2023051902210218700_CIT0001","first-page":"38","article-title":"Reliability and concurrent validity of the International Personality Item Pool (IPIP) Big-Five factor markers in Nigeria","volume":"10","author":"Abiola","year":"2012","journal-title":"Nigerian Journal of Psychiatry"},{"key":"2023051902210218700_CIT0002","author":"African Academy of Sciences.","year":"2020"},{"issue":"12","key":"2023051902210218700_CIT0003","doi-asserted-by":"crossref","first-page":"1804","DOI":"10.2522\/ptj.20100417","article-title":"Performance-based versus patient-reported physical function: What are the underlying predictors?","volume":"91","author":"Bean","year":"2011","journal-title":"Physical Therapy"},{"issue":"10033","key":"2023051902210218700_CIT0004","doi-asserted-by":"crossref","first-page":"2145","DOI":"10.1016\/S0140-6736(15)00516-4","article-title":"The world report on ageing and health: A policy framework for healthy ageing","volume":"387","author":"Beard","year":"2016","journal-title":"Lancet"},{"key":"2023051902210218700_CIT0005","doi-asserted-by":"crossref","first-page":"1304","DOI":"10.4102\/sajpsychiatry.v24i0.1304","article-title":"Validation of the Montreal cognitive assessment against the RBANS in a healthy South African cohort","volume":"24","author":"Beath","year":"2018","journal-title":"The South African Journal of Psychiatry"},{"key":"2023051902210218700_CIT0006","doi-asserted-by":"crossref","first-page":"2619","DOI":"10.2147\/COPD.S94377","article-title":"The Short Physical Performance Battery is a discriminative tool for identifying patients with COPD at risk of disability","volume":"10","author":"Bernabeu-Mora","year":"2015","journal-title":"International Journal of Chronic Obstructive Pulmonary Disease"},{"issue":"4","key":"2023051902210218700_CIT0007","first-page":"371","article-title":"The Lower Extremity Functional Scale (LEFS): Scale development, measurement properties, and clinical application. 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