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Factors associated with lower gait speed among the elderly living in a developing country: a cross-sectional population-based study

Overview of attention for article published in BMC Geriatrics, April 2015
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Title
Factors associated with lower gait speed among the elderly living in a developing country: a cross-sectional population-based study
Published in
BMC Geriatrics, April 2015
DOI 10.1186/s12877-015-0031-2
Pubmed ID
Authors

Telma de Almeida Busch, Yeda Aparecida Duarte, Daniella Pires Nunes, Maria Lucia Lebrão, Michel Satya Naslavsky, Anelise dos Santos Rodrigues, Edson Amaro

Abstract

Among community-dwelling older adults, mean values for gait speed vary substantially depending not only on the population studied, but also on the methodology used. Despite the large number of studies published in developed countries, there are few population-based studies in developing countries with socioeconomic inequality and different health conditions, and this is the first study with a representative sample of population. To explore this, the association of lower gait speed with sociodemographic, anthropometric factors, mental status and physical health was incorporated participants' weight (main weight) in the analysis of population of community-dwelling older adults living in a developing country. This was a cross-sectional population based on a sample of 1112 older adults aged 60 years and over from Health, Wellbeing and Aging Study cohort 2010. Usual gait speed (s) to walk 3 meters was stratified by sex and height into quartiles. Multiple regression analysis was performed to investigate the independent effect of each factor associated with a slower usual gait speed. The average walking speed of the elderly was 0.81 m/s - 0.78 m/s among women and 0.86 m/s among men. In the final model, the factors associated with lower gait speed were age (OR = 3.56), literacy (OR = 3.20), difficulty in one or more IADL (OR = 2.74), presence of cardiovascular disease (OR = 2.15) and sedentarism. When we consider the 50% slower, we can add the variables handgrip strength, and the presence of COPD. Gait speed is a clinical marker and an important measure of functional capacity among the elderly. Our findings suggest that lower walking speed is associated with age, education, but especially with modifiable factors such as impairment of IADL, physical inactivity and cardiovascular disease. These results reinforce how important it is for the elderly to remain active and healthy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 2%
United Kingdom 1 <1%
Unknown 216 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 18%
Student > Bachelor 27 12%
Student > Ph. D. Student 18 8%
Researcher 16 7%
Student > Postgraduate 12 5%
Other 43 19%
Unknown 67 30%
Readers by discipline Count As %
Medicine and Dentistry 47 21%
Nursing and Health Professions 32 14%
Sports and Recreations 16 7%
Engineering 9 4%
Social Sciences 7 3%
Other 31 14%
Unknown 80 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 April 2015.
All research outputs
#15,328,338
of 22,797,621 outputs
Outputs from BMC Geriatrics
#2,337
of 3,180 outputs
Outputs of similar age
#157,791
of 264,677 outputs
Outputs of similar age from BMC Geriatrics
#31
of 36 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,180 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.