Rene Urquidez-Romero1, Julian Esparza-Romero2, Lisa S Chaudhari3, R Cruz Begay3, Mario Giraldo4, Eric Ravussin5, William C Knowler6, Robert L Hanson6, Peter H Bennett6, Leslie O Schulz3, Mauro E Valencia7. 1. Departamento de Ciencias de la Salud, Instituto de Ciencias Biomédicas, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, México. 2. Departamento de Nutrición Pública y Salud. Coordinación de Nutrición. Centro de Investigación en Alimentación y Desarrollo, A.C. Hermosillo, Sonora, México. 3. College of Health and Human Services, Northern Arizona University, Flagstaff, AZ, USA. 4. Department of Geography, California State University, Northridge, CA, USA. 5. Pennington Biomedical Research Center, Baton Rouge, LA, USA. 6. Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA. 7. Departamento de Nutrición Pública y Salud. Coordinación de Nutrición. Centro de Investigación en Alimentación y Desarrollo, A.C. Hermosillo, Sonora, México. mauro@ciad.mx.
Abstract
OBJECTIVE: To focus on the rationale and methods of the Maycoba Project. METHODS: Study population included Mexican Pima Indians (MPI) and Blancos aged ≥20-years, living in the village of Maycoba and surrounding area. Surveys in 1995 and 2010 included a medical history, biochemical and anthropomet- ric measurements. Additionally, socio- economic, physical activity, and dietary interviews were conducted. The 2010 study incorporated investigations on type 2 diabetes (T2D) and obesity-associated genetic alleles and human-envi- ronment changes. RESULTS: The study results are limited to demographic data and description of the eligible and ex- amined sample. CONCLUSIONS: This study may yield important information on T2D and obesity etiology in a traditional population exposed to environmental changes.
OBJECTIVE: To focus on the rationale and methods of the Maycoba Project. METHODS: Study population included Mexican Pima Indians (MPI) and Blancos aged ≥20-years, living in the village of Maycoba and surrounding area. Surveys in 1995 and 2010 included a medical history, biochemical and anthropomet- ric measurements. Additionally, socio- economic, physical activity, and dietary interviews were conducted. The 2010 study incorporated investigations on type 2 diabetes (T2D) and obesity-associated genetic alleles and human-envi- ronment changes. RESULTS: The study results are limited to demographic data and description of the eligible and ex- amined sample. CONCLUSIONS: This study may yield important information on T2D and obesity etiology in a traditional population exposed to environmental changes.
Authors: A M Kriska; W C Knowler; R E LaPorte; A L Drash; R R Wing; S N Blair; P H Bennett; L H Kuller Journal: Diabetes Care Date: 1990-04 Impact factor: 19.112
Authors: Paul W Franks; Robert L Hanson; William C Knowler; Maurice L Sievers; Peter H Bennett; Helen C Looker Journal: N Engl J Med Date: 2010-02-11 Impact factor: 91.245
Authors: Robert L Hanson; Clifton Bogardus; David Duggan; Sayuko Kobes; Michele Knowlton; Aniello M Infante; Leslie Marovich; Deb Benitez; Leslie J Baier; William C Knowler Journal: Diabetes Date: 2007-09-10 Impact factor: 9.461
Authors: Wen-Chi Hsueh; Peter H Bennett; Julian Esparza-Romero; Rene Urquidez-Romero; Mauro E Valencia; Eric Ravussin; Robert C Williams; William C Knowler; Leslie J Baier; Leslie O Schulz; Robert L Hanson Journal: Ann Hum Genet Date: 2018-05-17 Impact factor: 2.180
Authors: Julian Esparza-Romero; Mauro E Valencia; Rene Urquidez-Romero; Lisa S Chaudhari; Robert L Hanson; William C Knowler; Eric Ravussin; Peter H Bennett; Leslie O Schulz Journal: Diabetes Care Date: 2015-08-05 Impact factor: 19.112