BACKGROUND: The extent to which relevant confounding variables influence the recognized association between @entity177 and @entity3147 is not known. This study examined whether @entity177 was associated with @entity3147 , independent of relevant demographic, social, and medical conditions in noninstitutionalized adults 60 years of age and older. METHODS: @entity1 (5248) in the United States Third National Health and Nutrition Examination Survey (NHANES III, 1988 to 1994), a cross-sectional study, were examined in a multivariate logistic regression model. @entity1 were stratified into three groups of glomerular filtration rate (GFR) by serum @entity1011 . Dietary and nutritional factors were estimated from 24-hour dietary recall, biochemistry measurements, anthropometry, and bioelectrical impedance. @entity1 were malnourished if they demonstrated at least three of the following five criteria: (1) serum albumin < or =37 g/L, (2) male weight < or =63.9 kg, female weight < or =51.8 kg, (3) serum @entity165 <4.1 mmol/L, (4) energy intake <15 kcal/kg/day, and (5) protein intake <0.5 g/kg/day. RESULTS: A GFR <30 mL/ @entity1009 .73 m(2) was present in 2.3% of @entity1 and 2.6% of @entity1 ; these @entity1 demonstrated low energy and protein intake and higher serum markers of @entity32 . Thirty-one percent of individuals with @entity3147 demonstrated a GFR <60 mL/ @entity1009 .73 m(2). In multivariate analysis, a GFR <30 mL/ @entity1009 .73 m(2) was independently associated with @entity3147 [odds ratio 3.6 (2.0 to 6.6)] after adjustment for relevant demographic, social and medical conditions. CONCLUSIONS: It is probable that @entity177 is an important independent risk factor for @entity3147 in older adults. @entity3147 should be considered, prevented, and treated as possible in @entity1 with clinically important @entity177 . These results should be confirmed in a prospective longitudinal cohort study.

Association between XXXX and @entity3147 in older adults: results from the NHANES III.

@entity1 :: ('9606', 'Species') :: ['participants', 'women', 'Participants', 'persons', 'men'] @entity32 :: ('MESH:D007249', 'Disease') :: ['inflammation'] @entity1009 :: ('966', 'Gene') :: ['min/1'] @entity177 :: ('MESH:D051437', 'Disease') :: ['renal insufficiency'] @entity3147 :: ('MESH:D044342', 'Disease') :: ['malnutrition', 'Malnutrition'] @entity1011 :: ('MESH:D003404', 'Chemical') :: ['creatinine'] @entity165 :: ('MESH:D002784', 'Chemical') :: ['cholesterol']
@entity177 :: (MESH:D051437,Disease) :: ['renal insufficiency']
