There is an epidemic of @entity8 among the Zuni Indians. In contrast to most other American-Indian communities, the epidemic of @entity8 among the Zuni Indians reflects high rates of @entity2316 . Almost every Zuni Indian has a relative with @entity454 . This epidemic offers a unique opportunity to advance our understanding of the risk factors for the susceptibility and/or progression of @entity8 . Thus, Zuni Tribal leaders formed a research partnership with the University of New Mexico Health Sciences Center, Indian Health Service, Southwest Foundation for Biomedical Research and Dialysis Clinic Inc., to establish the Zuni Kidney Project (ZKP). The ZKP conducted a population-based, cross-sectional survey of the Zuni Pueblo. Age and gender distributions among survey @entity1 were similar to those of the eligible Zuni population. Among @entity6 the prevalence (95% confidence interval) of incipient @entity633 (IA) was 32.3% (25.1, 39.5) in @entity1 and 36.1% (24.7, 47.5) in @entity1 . The prevalence of IA among nondiabetics was 9.3% (6.9, 11.7) in @entity1 and 12.2% (9.7, 14.7) in @entity1 . Among @entity6 , the prevalence of @entity633 ( @entity633 ) was 17.7% (11.9, 23.5) in @entity1 and 20.8% (11.4, 30.2) in @entity1 . Among nondiabetics, @entity633 was present in 1.2% (0.3, 2.1) of @entity1 and 2.3% (1.1, 3.5) of @entity1 . Although IA and @entity633 were each more common among @entity6 , the majority of @entity1 with @entity633 were nondiabetics. @entity811 was common among both @entity6 and nondiabetics. Among @entity6 , the crude prevalence of @entity811 was similar among @entity1 and @entity1 . Among nondiabetics, however, @entity811 was more common among @entity1 . @entity6 and @entity28 were more common among @entity1 than @entity1 . In contrast, @entity101 and @entity1007 were more common among @entity1 than @entity1 . The ZKP is incorporating these preliminary data into planning for the development and implementation of primary and secondary prevention programs.

The Zuni kidney project: a collaborative approach to an XXXX .

@entity1 :: ('9606', 'Species') :: ['participants', 'women', 'men'] @entity8 :: ('MESH:D007674', 'Disease') :: ['renal disease'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertension'] @entity6 :: ('MESH:D003920', 'Disease') :: ['Diabetes', 'diabetics'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obesity'] @entity2316 :: ('MESH:D003928', 'Disease') :: ['diabetic and nondiabetic renal disease'] @entity1007 :: ('MESH:D006937', 'Disease') :: ['hypercholesterolemia'] @entity633 :: ('MESH:D000419', 'Disease') :: ['albuminuria', 'overt albuminuria', 'OA'] @entity811 :: ('MESH:D006417', 'Disease') :: ['hematuria', 'Hematuria'] @entity454 :: ('MESH:D007676', 'Disease') :: ['end-stage renal disease']
@entity8 :: (MESH:D007674,Disease) :: ['epidemic of kidney disease']
