XXXX based on serum @entity1011 levels in a Brazilian community: the Bambu   Health and Ageing Study.

@entity1 @entity662 @entity8 @entity101 @entity613 @entity1011 @entity583
There are few population-based studies of @entity8 and none conducted in developing countries. In the present study the prevalence and predictors of elevated serum @entity1011 levels (SCr > or = 1.3 mg/dl for @entity1 and 1.1 mg/dl for @entity1 ) were determined among Brazilian adults (18-59 years) and older adults (>60 years). @entity1 included all older adults (N = 1742) and a probabilistic sample of adults (N = 818) from Bambu town, MG, Southeast Brazil. Predictors were investigated using multiple logistic regression. Mean SCr levels were 0.77 +/- 0.15 mg/dl for adults, 1.02 +/- 0.39 mg/dl for older @entity1 , and 0.81 +/- 0.17 mg/dl for older @entity1 . Because there were only 4 cases (0.48%) with elevated SCr levels among adults, the analysis of elevated SCr levels was restricted to older adults. The overall prevalence of elevated SCr levels among the elderly was 5.09% (76/1494). The prevalence of hypercreatinemia increased significantly with age (chi = 26.17, P = 0.000), being higher for older @entity1 (8.19%) than for older @entity1 (5.29%, chi = 5.00, P = 0.02). Elevated SCr levels were associated with age 70-79 years (odds ratio [OR] = 2.25, 95% confidence interval [CI]: 1.15-4.42), @entity101 (OR = 3.04, 95% CI: 1.34-6.92), use of antihypertensive drugs (OR = 2.46, 95% CI: 1.26-4.82), @entity662 (OR = 3.37, 95% CI: 1.31-8.74), and @entity613 (OR = 3.43, 95% CI: 1.30-9.09) among @entity1 , and with age >80 years (OR = 4.88, 95% CI: 2.24-10.65), use of antihypertensive drugs (OR = 4.06, 95% CI: 1.67-9.86), physical inactivity (OR = 2.11, 95% CI: 1.11-4.02) and @entity583 (OR = 3.89, 95% CI: 1.58-9.62) among @entity1 . The prevalence of @entity8 observed was much lower than that reported in other population-based studies, but predictors were similar. New investigations are needed to confirm the variability in prevalence and associated factors of @entity8 among populations.
