Association between metabolic syndrome and chronic kidney disease and sex specific difference among community elder population in Beijing / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 411-415, 2015.
Artículo
en Chino
| WPRIM
| ID: wpr-240082
ABSTRACT
<p><b>OBJECTIVE</b>To evaluate the association between metabolic syndrome (MS) and chronic kidney disease (CKD) and its sex specific difference among community elder population in China.</p><p><b>METHODS</b>A population-based cross-sectional study was conducted among the old people aged ≥60 years and selected through a two stage cluster random sampling in a community in Beijing from September 2009 to Jun 2010. The standard international case definitions of MS (2009) and CKD (2012) were used.</p><p><b>RESULTS</b>A total of 2 102 old people aged 60-95 years, including 848 males and 1 254 females, were surveyed. The prevalence of MS and CKD were 59.1% and 12.6% respectively. The prevalence of CKD increased from 2.9% to 18.3% with the increase of the forms of MS. Multivariate logistic regression analysis showed the ORs of MS for decreased renal function, albuminuria and CKD were 2.13 (95% CI 1.39-2.26), 1.99 (95% CI 1.41-2.82) and 2.03 (95% CI 1.52-2.71) respectively, and the risk of CKD increased with the forms of MS. The impact of MS on decreased renal function was stronger in females (OR 2.19 vs. 1.89), but the impact of MS on albuminuria was stronger in males (OR 1.22 vs. 2.13).</p><p><b>CONCLUSION</b>There was a strong and sex specific association between MS and CKD among the community elder population in Beijing.</p>
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
China
/
Epidemiología
/
Prevalencia
/
Estudios Transversales
/
Recolección de Datos
/
Distribución por Sexo
/
Síndrome Metabólico
/
Albuminuria
/
Insuficiencia Renal Crónica
Tipo de estudio:
Estudio observacional
/
Estudio de prevalencia
/
Factores de riesgo
Límite:
Anciano
/
Femenino
/
Humanos
/
Masculino
País/Región como asunto:
Asia
Idioma:
Chino
Revista:
Chinese Journal of Epidemiology
Año:
2015
Tipo del documento:
Artículo
Similares
MEDLINE
...
LILACS
LIS