Gait speed correlates in a multiracial population of community-dwelling older adults living in Brazil: a cross-sectional population-based study
Gait speed is a strong predictor of a wide range of adverse health outcomes in older adults. Mean values for gait speed in community-dwelling older adults vary substantially depending on population characteristics, suggesting that social, biological, or health factors might explain why certain groups tend to self-select their gait speed in different patterns. The vast majority of studies reported in the literature present data from North American and European populations. There are few population-based studies from other regions with a different ethnicity and/or social and health conditions. To address this, the present study identified the mean usual and fast gait speeds in a representative multiracial population of community-dwelling older adults living in a developing country, and explored their association with sociodemographic, mental and physical health characteristics.
This was a cross-sectional population-based study of a sample of 137 men and 248 women, aged 65 years and over. Usual gait speed and fast gait speed were measured on a 4.6 m path. Participants were classified into slow, intermediate, and faster groups by cluster analysis. Logistic regression analysis was used to estimate the independent effect of each factor on the odds of presenting with a slower usual and slower fast gait speeds.
Participants had a mean (SD) usual gait speed of 1.11 (0.27) m/s and a mean fast gait speed of 1.39 (0.34) m/s. We did not observe an independent association between gait speed and race/ethnicity, educational level, or income. The main contributors to present a slower usual gait speed were low physical activity level, stroke, diabetes, urinary incontinence, high concern about falling, and old age. A slower fast gait speed was associated with old age, low physical activity, urinary incontinence and high concern about falling.
A multiracial population of older adults living in a developing country showed a similar mean gait speed to that observed in previously studied populations. The results suggest that low physical activity, urinary incontinence and high concern about falling should not be neglected and may help identify those who might benefit from early intervention.
- [Show abstract] [Hide abstract]
ABSTRACT: Objectives Gait speed (GS) is an important predictor of disability, falls, institutionalization and death among elderly people. Our aim was to assess which factors are associated with higher GS in a sample of physically active elderly. Subjects and methods A cross-sectional study was performed in a sample of 43 self-sufficient and active elderly (12 men and 31 women) aged 65–82 years. Anthropometric features (weight and height), mobility (Tinetti test), physical and mental health (Short Form 12 - SF12 questionnaire), physical activity (Physical Activity Scale for Elderly - PASE questionnaire), strength and power of lower limbs (Myotest Pro accelerometer) and GS were measured. A multivariable linear regression model was built in order to identify which variables were associated with higher GS. Results The final multivariable linear regression model included gender, fall in the previous year, hypertension, age, BMI and Mental Health score. Furthermore, it explained nearly 2/3 of the variability in GS (R2 = 0.64). Male sex, hypertension and a higher Mental Health score were associated with higher GS, whereas fall in the previous year and higher values of both age and BMI were associated with lower GS. A further model which included an interaction between sex and BMI (R2 = 0.68) revealed that the negative association between GS and BMI was found among women but not among men. Conclusions In addition to the well-known associations between GS and demographic and anthropometric characteristics, we reported a positive association between mental health and GS among generally healthy and physically active community-dwelling elderly.European geriatric medicine 04/2014; 5(2). DOI:10.1016/j.eurger.2013.12.001 · 0.55 Impact Factor
- [Show abstract] [Hide abstract]
ABSTRACT: The aim of our study was to investigate the effects of subclinical brain lesions and cognitive function on gait performance with or without concurrent cognitive task in community-dwelling elderly subjects. Participants without dementia (92 men and 109 women with a mean age of 67.8 years) underwent brain magnetic resonance imaging, neuropsychologic tests, and gait measurements. Impaired gait velocity of the Timed Up and Go test was associated with deep white matter lesions (odds ratio [OR], 2.338; 95% confidence interval [CI], 1.120-4.880) and diabetes mellitus (OR, 2.725; 95% CI, 1.120-6.630) after adjusted for age, sex, education, and cognitive function tests. Impaired gait velocity of dual task walking was associated with age and the score of Rivermead Behavioral Memory Test (OR, .899/1 point higher; 95% CI, .813-.994), whereas deep white matter lesions were not significantly associated with dual task walking. The present study showed that gait represents not only physical functioning but also subclinical cognitive dysfunction particularly memory impairment in healthy elderly subjects.Journal of stroke and cerebrovascular diseases: the official journal of National Stroke Association 06/2014; 23(7). DOI:10.1016/j.jstrokecerebrovasdis.2014.05.008 · 1.99 Impact Factor
- Journal of the American Geriatrics Society 08/2014; 62(8). DOI:10.1111/jgs.12959 · 4.22 Impact Factor