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      Gait speed and its associated factors among older black adults in Sub-Saharan Africa: Evidence from the WHO study on Global AGEing in older adults (SAGE)

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          Abstract

          Gait speed is an essential predictor of functional and cognitive decline in older adults. The study aimed to investigate the gait speed of older adults in Ghana and South Africa and to determine its associated factors, as the Sub-Saharan representatives in the World Health Organization’s Study on Global AGEing in Older Adults (SAGE). A secondary analysis of data from the SAGE study which consists of nationally representative data involving participants aged ≥50+ years with smaller samples of younger adults aged 18–49 years in Ghana and South Africa was conducted. SAGE study employed a multistage, stratified clustered sample design and involved the use of a standardised questionnaire to obtain participants’ (n = 5808) demographic, anthropometric and gait speed information. The standard 4 metre-gait speed was used. Median gait speed for the study group, which comprised African/Black participants aged ≥50+ years was 0.769(Q1 = 0.571, Q3 = 0.952)m/s for males and 0.667 (Q1 = 0.500,Q3 = 0.833)m/s for females. For every unit increase in age, the odds of being in a higher-ranked gait speed category was 0.96(95%CI 0·96, 0·97, p<0. 001) times that of the previous age. Females had odds of 0.55 (95%CI 0.50, 0.61, p<0. 001) of recording higher gait speed, as compared to males. Rural dwellers had odds of 1.43 (95%CI 1.29, 1.58, p < 0. 001) of being in a higher-ranked category of gait speed compared to urban dwellers. Underweight (OR = 0.85, 95%C1 = 0.73–1.00, p<0. 05) and obesity (OR = 0.53, 95%CI = 0.46–0.61, p<0. 001) were associated with slower gait speed. Amongst functional indices, the World Health Organization Disability Assessment Schedule (WHODAS) score was the biggest determinant of gait speed. Having a “Severe/Extreme” WHODAS score had the strongest association with gait speed (OR = 0.18, 95%CI = 0.14–0.23, p<0. 001). These gait speed results provide an essential reference for older adults’ care in Ghana and South Africa.

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          Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants.

          to establish reference values for both comfortable and maximum gait speed and to describe the reliability of the gait speed measures and the correlation of selected variables with them. descriptive and cross-sectional. subjects were 230 healthy volunteers. Gait was timed over a 7.62 m expanse of floor. Actual and height normalized speed were determined. Lower extremity muscle strength was measured with a hand-held dynamometer. mean comfortable gait speed ranged from 127.2 cm/s for women in their seventies to 146.2 cm/s for men in their forties. Mean maximum gait speed ranged from 174.9 cm/s for women in their seventies to 253.3 cm/s for men in their twenties. Both gait speed measures were reliable (coefficients > or = 0.903) and correlated significantly with age (r > or = -0.210), height (r > or = 0.220) and the strengths of four measured lower extremity muscle actions (r = 0.190-0.500). The muscle action strengths most strongly correlated with gait speed were nondominant hip abduction (comfortable speed) and knee extension (maximum speed). these normative values should give clinicians a reference against which patient performance can be compared in a variety of settings. Gait speed can be expected to be reduced in individuals of greater age and of lesser height and lower extremity muscle strength.
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            Prognostic value of usual gait speed in well-functioning older people--results from the Health, Aging and Body Composition Study.

            To define clinically relevant cutpoints for usual gait speed and to investigate their predictive value for health-related events in older persons. Prospective cohort study. Health, Aging and Body Composition Study. Three thousand forty-seven well-functioning older persons (mean age 74.2). Usual gait speed on a 6-m course was assessed at baseline. Participants were randomly divided into two groups to identify (Sample A; n=2,031) and then validate (Sample B; n=1,016) usual gait-speed cutpoints. Rates of persistent lower extremity limitation events (mean follow-up 4.9 years) were calculated according to gait speed in Sample A. A cutpoint (defining high- ( or = 1 m/s) groups) was identified based on persistent lower extremity limitation events. The predictive value of the identified cutpoints for major health-related events (persistent severe lower extremity limitation, death, and hospitalization) was evaluated in Sample B using Cox regression analyses. A graded response was seen between risk groups and health-related outcomes. Participants in the high-risk group had a higher risk of persistent lower extremity limitation (rate ratio (RR)=2.20, 95% confidence interval (CI)=1.76-2.74), persistent severe lower extremity limitation (RR=2.29, 95% CI=1.63-3.20), death (RR=1.64, 95% CI=1.14-2.37), and hospitalization (RR=1.48, 95% CI=1.02-2.13) than those in the low-risk group. Usual gait speed of less than 1 m/s identifies persons at high risk of health-related outcomes in well-functioning older people. Provision of a clinically meaningful cutpoint for usual gait speed may facilitate its use in clinical and research settings.
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              Nutritional Considerations for Healthy Aging and Reduction in Age-Related Chronic Disease.

              A projected doubling in the global population of people aged ≥60 y by the year 2050 has major health and economic implications, especially in developing regions. Burdens of unhealthy aging associated with chronic noncommunicable and other age-related diseases may be largely preventable with lifestyle modification, including diet. However, as adults age they become at risk of "nutritional frailty," which can compromise their ability to meet nutritional requirements at a time when specific nutrient needs may be high. This review highlights the role of nutrition science in promoting healthy aging and in improving the prognosis in cases of age-related diseases. It serves to identify key knowledge gaps and implementation challenges to support adequate nutrition for healthy aging, including applicability of metrics used in body-composition and diet adequacy for older adults and mechanisms to reduce nutritional frailty and to promote diet resilience. This review also discusses management recommendations for several leading chronic conditions common in aging populations, including cognitive decline and dementia, sarcopenia, and compromised immunity to infectious disease. The role of health systems in incorporating nutrition care routinely for those aged ≥60 y and living independently and current actions to address nutritional status before hospitalization and the development of disease are discussed.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                18 April 2024
                2024
                : 19
                : 4
                : e0295520
                Affiliations
                [1 ] Department of Medicine, School of Medicine and Dentistry, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
                [2 ] University Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
                [3 ] Komfo Anokye Teaching Hospital, Kumasi, Ghana
                [4 ] Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
                [5 ] School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
                [6 ] Department of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
                Instituto Nacional de Geriatria, MEXICO
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-2641-8865
                https://orcid.org/0000-0002-0570-5662
                https://orcid.org/0000-0002-5941-9733
                https://orcid.org/0000-0001-7682-766X
                https://orcid.org/0000-0002-5342-5825
                Article
                PONE-D-23-09911
                10.1371/journal.pone.0295520
                11025960
                38635683
                4be2c01c-ea69-4c29-8c71-7f5be41f58b2
                © 2024 Tawiah et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 25 April 2023
                : 22 November 2023
                Page count
                Figures: 5, Tables: 4, Pages: 19
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000049, National Institute on Aging;
                Award ID: grants R01-AG034479 and R21-AG034263
                The authors would like to state that this work was a secondary analysis of the WHO SAGE WAVE 1 data. Even though funding was provided for the data collection, the authors of this manuscript received no funding for this present work.
                Categories
                Research Article
                People and Places
                Geographical Locations
                Africa
                Ghana
                People and Places
                Population Groupings
                Age Groups
                Adults
                Elderly
                People and places
                Geographical locations
                Africa
                South Africa
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Earth Sciences
                Geography
                Human Geography
                Urban Geography
                Urban Areas
                Social Sciences
                Human Geography
                Urban Geography
                Urban Areas
                Earth Sciences
                Geography
                Geographic Areas
                Urban Areas
                Medicine and Health Sciences
                Vascular Medicine
                Angina
                People and Places
                Population Groupings
                Age Groups
                Custom metadata
                The data underlying the results presented in the study are available from http://apps.who.int/healthinfo/systems/surveydata.

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