The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Prevalence and associated factors of sarcopenia among elderly in Brazil: Findings from the SABE study
Open accessAbstract
OBJECTIVES: The aim of the present study was to examine the prevalence and factors associated with sarcopenia in older residents in São Paulo, Brazil. DESIGN: Cross-sectional study. SETTING: São Paulo, Brazil. PARTICIPANTS: 1,149 older individuals from the second wave of the Saúde, Bem-Estar e Envelhecimento (SABE) study from 2006. MEASUREMENTS: The definition of sarcopenia was based on the consensus of the European Working Group on Sarcopenia in Older People (EWGSOP), which include three components: low muscle mass, assessed by a skeletal muscle mass index of ≤8.90 kg/m2 for men and ≤6.37 kg/m2 for women; low muscle strength, assessed by handgrip strength <30 kg for men and <20 kg for women; and low physical performance, assessed by gait speed <0.8 m/s. Diagnosis of sarcopenia required presence of low muscle mass plus low muscle strength or low physical performance. Socio-demographic and behavioral characteristics, medical conditions and nutritional status were considered as independent variables to determine the associated factors using a logistic regression model. RESULTS: The prevalence of sarcopenia was 16.1% in women and 14.4% in men. Advanced age with a dose response effect, cognitive impairment, lower income, smoking, undernutrition and risk for undernutrition (p<0.05) were factors associated with sarcopenia. CONCLUSIONS: The EWGSOP algorithm is useful to define sarcopenia. The prevalence of sarcopenia in the Brazilian elderly population is high and several associated factors show that this syndrome is affected by multiple domains. No differences were observed by gender in any age groups.
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Cites
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601
Guralnik, J. M., Simonsick, E. M., Ferrucci, L., Glynn, R. J., Berkman, L. F., Blazer, D. G., Scherr, P. A., & Wallace, R. B. (1994) · Journal of Gerontology · doi:10.1093/geronj/49.2.m85 · Cited by 9,792
Sheikh (1986) · doi:10.1300/j018v05n01_09 · Cited by 7,236
Epidemiology of Sarcopenia among the Elderly in New Mexico
Baumgartner, R. N., Koehler, K. M., Gallagher, D., Romero, L., Heymsfield, S. B., Ross, R. R., Garry, P. J., & Lindeman, R. D. (1998) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009520 · Cited by 4,004
Janssen, I., Heymsfield, S. B., & Ross, R. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50216.x · Cited by 3,139 · cited 2×
“For example, several studies have found increasing age associated with sarcopenia (1, 7, 8, 11, 12).”
Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
Janssen, I., Heymsfield, S. B., Wang, Z., & Ross, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.89.1.81 · Cited by 3,087
Walston, J., Hadley, E. C., Ferrucci, L., Guralnik, J. M., Newman, A. B., Studenski, S. A., Ershler, W. B., Harris, T., & Fried, L. P. (2006) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2006.00745.x · Cited by 1,605
Sarcopenia: alternative definitions and associations with lower extremity function
Newman, A. B., Kupelian, V., Visser, M., Simonsick, E., Goodpaster, B., Nevitt, M., Kritchevsky, S. B., Tylavsky, F. A., Rubin, S. M., Harris, T. B., et al. (2003) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2003.51534.x · Cited by 981
Prevalence of sarcopenia and predictors of skeletal muscle mass in healthy, older men and women
Iannuzzi-Sucich, M., Prestwood, K. M., & Kenny, A. M. (2002) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/57.12.m772 · Cited by 890 · cited 3×
“…(6). based on skeletal mass index, the prevalence of sarcopenia has been reported between 22.6% and 51.9% in women and 26.8% and 50.4% in men (2, 7). using data from China, lau et al. (8) found a 12.3% prevalence of sarcopenia in men and 7.6% in women, while Tichet et al. (9) used data from a…”
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Association Between Sarcopenia and Cognitive Impairment: A Systematic Review and Meta-Analysis
Chang, K.-V., Hsu, T.-H., Wu, W.-T., Huang, K.-C., & Han, D.-S. (2016) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2016.09.013 · Cited by 448
Jung, S., Yabushita, N., Kim, M., Seino, S., Nemoto, M., Osuka, Y., Okubo, Y., Figueroa, R., & Tanaka, K. (2016) · The Journal of nutrition, health and aging · doi:10.1007/s12603-016-0672-7 · Cited by 18
Metadata
- Authors
- da Silva Alexandre, T., de Oliveira Duarte, Y. A., Ferreira Santos, J. L., Wong, R., & Lebrão, M. L.
- Venue
- The Journal of nutrition, health and aging
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 18
- Issue
- 3
- Pages
- 284-290
- ISSN
- 1279-7707 (ISSN-L)
- OpenAlex
- W2064752203
- Cited by
- 217
- References
- 12
- FWCI
- 7.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- da Silva Alexandre, T., de Oliveira Duarte, Y. A., Ferreira Santos, J. L., Wong, R., & Lebrão, M. L. (2014). Prevalence and associated factors of sarcopenia among elderly in Brazil: Findings from the SABE study. The Journal of nutrition, health and aging. https://doi.org/10.1007/s12603-013-0413-0
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