Effects of Traditional and Western Environments on Prevalence of Type 2 Diabetes in Pima Indians in Mexico and the U.S.
Open accessAbstract
OBJECTIVE—Type 2 diabetes and obesity have genetic and environmental determinants. We studied the effects of different environments on these diseases in Pima Indians in Mexico and the U.S. RESEARCH DESIGN AND METHODS—Adult Pima-Indian and non-Pima populations in the Sierra Madre mountains of Mexico were examined using oral glucose tolerance tests and assessments for obesity, physical activity, and other risk factors. Results were compared with those from Pima Indians in Arizona. Both Pima populations were typed for DNA polymorphisms to establish their genetic similarity. RESULTS—The age- and sex-adjusted prevalence of type 2 diabetes in the Mexican Pima Indians (6.9%) was less than one-fifth that in the U.S. Pima Indians (38%) and similar to that of non-Pima Mexicans (2.6%). The prevalence of obesity was similar in the Mexican Pima Indians (7% in men and 20% in women) and non-Pima Mexicans (9% in men and 27% in women) but was much lower than in the U.S. Pima Indians. Levels of physical activity were much higher in both Mexican groups than in the U.S. Pima Indians. The two Pima groups share considerable genetic similarity relative to other Native Americans. CONCLUSIONS—The much lower prevalence of type 2 diabetes and obesity in the Pima Indians in Mexico than in the U.S. indicates that even in populations genetically prone to these conditions, their development is determined mostly by environmental circumstances, thereby suggesting that type 2 diabetes is largely preventable. This study provides compelling evidence that changes in lifestyle associated with Westernization play a major role in the global epidemic of type 2 diabetes.
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Written from the paper’s full text.
TL;DR
Pima Indians in a traditional Mexican environment had much lower type 2 diabetes and obesity prevalence than genetically similar Pima Indians in the U.S., despite sharing a similar gene pool. The findings suggest that environmental/lifestyle factors associated with Westernization largely determine whether genetically susceptible populations develop type 2 diabetes.
Key findings
- Age- and sex-adjusted type 2 diabetes prevalence was 6.9% in Mexican Pima Indians, 38% in U.S. Pima Indians, and 2.6% in non-Pima Mexicans; the U.S. Pima prevalence was 5.5 times higher than Mexican Pima and 16 times higher than non-Pima Mexicans (P < 0.01).
- Obesity was similar in Mexican Pima Indians (7% men, 20% women) and non-Pima Mexicans (9% men, 27% women) but much higher in U.S. Pima Indians (63.8% men, 74.8% women).
- Physical activity was much higher in both Mexican groups than in U.S. Pima Indians: moderate-to-heavy activity was ~2.5-fold higher in Mexican men and 7-fold higher in Mexican women than in their U.S. Pima counterparts.
- The two Pima groups clustered together genetically relative to other Native Americans, with a bootstrap support value of 95% (947 of 1,000), indicating a very similar gene pool.
Methods
- Cross-sectional study of adult Pima and non-Pima Mexicans in the Sierra Madre mountains of Mexico, examined with oral glucose tolerance tests, anthropometry, physical activity questionnaires, and 24-h dietary recalls; results were compared with U.S. Pima Indians from the Gila River Indian Community in Arizona examined during June 1995–June 1996.
- Diabetes and impaired glucose tolerance were defined by 1999 WHO criteria; obesity was defined as BMI ≥30 kg/m², with body fat estimated by bioelectrical impedance.
- Genetic similarity was assessed by typing 309 independent DNA markers in 52 unrelated full Pima Indians from Mexico and 52 full Pima Indians from the U.S.; prevalence rates were directly standardized for age and sex.
Limitations
- The paper states that cause and effect cannot be proven from this cross-sectional study, although it proposes that low diabetes prevalence in the Mexican populations is largely due to lesser obesity.
- The paper states that a difference between the Pima populations in frequencies of unidentified diabetes susceptibility genes due to genetic drift or founder effects cannot be excluded.
- The paper notes that dietary intake was not evaluated in the U.S. Pima sample used for comparison; an earlier U.S. Pima dietary study was cited instead. Evident from the text: participation was 77% of eligible Mexican Pima Indians and 71% of non-Pima Mexicans, and the diabetes difference between Mexican Pima and non-Pima Mexicans was not statistically significant.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
Claims the paper makes
0 of 13 cited sources checked · 0 supported · 0 flagged
- Findingown data
The age-and sex-adjusted prevalence of type 2 diabetes in Mexican Pima Indians was 6.9%.
“The age-and sex-adjusted prevalence of type 2 diabetes in the Mexican Pima Indians (6.9%) was less than one-fifth that in the U.S. Pima Indians (38%) and similar to that of non-Pima Mexicans (2.6%).”
Quote in the paperSubstantial claim - Findingown data
The age-and sex-adjusted prevalence of type 2 diabetes in non-Pima Mexicans was 2.6%.
“The age-and sex-adjusted prevalence of type 2 diabetes in the Mexican Pima Indians (6.9%) was less than one-fifth that in the U.S. Pima Indians (38%) and similar to that of non-Pima Mexicans (2.6%).”
Quote in the paperSubstantial claim - Findingown data
The age-and sex-adjusted prevalence of type 2 diabetes in U.S. Pima Indians was 38%.
“The age-and sex-adjusted prevalence of type 2 diabetes in the Mexican Pima Indians (6.9%) was less than one-fifth that in the U.S. Pima Indians (38%) and similar to that of non-Pima Mexicans (2.6%).”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Findingown data
The two Pima groups share considerable genetic similarity relative to other Native Americans.
“The two Pima groups share considerable genetic similarity relative to other Native Americans.”
Quote in the paperSubstantial claim - Findingown data
Levels of physical activity were much higher in both Mexican groups than in U.S. Pima Indians.
“Levels of physical activity were much higher in both Mexican groups than in the U.S. Pima Indians.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Findingown data
The age-and sex-adjusted prevalence of type 2 diabetes in Mexican Pima Indians was less than one-fifth that in U.S. Pima Indians.
“The age-and sex-adjusted prevalence of type 2 diabetes in the Mexican Pima Indians (6.9%) was less than one-fifth that in the U.S. Pima Indians (38%) and similar to that of non-Pima Mexicans (2.6%).”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Findingown data
The age-and sex-adjusted prevalence of type 2 diabetes in Mexican Pima Indians was similar to that in non-Pima Mexicans.
“The age-and sex-adjusted prevalence of type 2 diabetes in the Mexican Pima Indians (6.9%) was less than one-fifth that in the U.S. Pima Indians (38%) and similar to that of non-Pima Mexicans (2.6%).”
Quote in the paperSubstantial claim - Premisecitation
Total energy expenditure is higher in Mexican Pima Indians than in U.S. Pima Indians.
“Total energy expenditure is higher in Mexican Pima Indians than in U.S. Pima Indians.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] Esparza J, Fox C, Harper IT, Bennett PH, Schulz LO, Valencia ME, Ravussin E: Daily energy expenditure in Mexican and USA Pima Indians: low physical activity as a possible cause of obesity. Int J Obes Relat Metab Disord 24:55–59, 2000 source
Not checked in the free run.
- Interpretationreasoning
Changes in lifestyle associated with Westernization play a major role in the global epidemic of type 2 diabetes.
“This study provides compelling evidence that changes in lifestyle associated with Westernization play a major role in the global epidemic of type 2 diabetes.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Interpretationreasoning
Type 2 diabetes is largely preventable.
“The much lower prevalence of type 2 diabetes and obesity in the Pima Indians in Mexico than in the U.S. indicates that even in populations genetically prone to these conditions, their development is determined mostly by environmental circumstances, thereby suggesting that type 2 diabetes is largely preventable.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Rests on an assumption: The cross-sectional prevalence differences reflect lifetime risk of diabetes.
- Premisecitation
Type 2 diabetes results from an interaction between genetic predisposition and lifestyles associated with unfavorable environments.
“These observations, together with strong evidence of the importance of genetic susceptibility in type 2 diabetes (8), indicate that type 2 diabetes results from an interaction between genetic predisposition and lifestyles associated with unfavorable environments.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] Baier LJ, Hanson RL: Genetic studies of the etiology of type 2 diabetes in Pima Indians: hunting for pieces to a complicated puzzle. Diabetes 53:1181–1186, 2004 source
Not checked in the free run.
- Premisecitation
Mexican Pima Indians have experienced relatively little recent change in environmental conditions.
“In contrast with the U.S. Pima Indians, they have experienced relatively little recent change in environmental conditions (9,10).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [9] Ravussin E, Valencia ME, Esparza J, Bennett PH, Schulz LO: Effects of a traditional lifestyle on obesity in Pima Indians. Diabetes Care 17:1067–1074, 1994 source
Not checked in the free run.
- cites [10] Esparza J, Fox C, Harper IT, Bennett PH, Schulz LO, Valencia ME, Ravussin E: Daily energy expenditure in Mexican and USA Pima Indians: low physical activity as a possible cause of obesity. Int J Obes Relat Metab Disord 24:55–59, 2000 source
Not checked in the free run.
- Interpretationown data
The much lower prevalence of type 2 diabetes and obesity in Mexican Pima than U.S. Pima indicates that even in populations genetically prone to these conditions, their development is determined mostly by environmental circumstances.
“The much lower prevalence of type 2 diabetes and obesity in the Pima Indians in Mexico than in the U.S. indicates that even in populations genetically prone to these conditions, their development is determined mostly by environmental circumstances, thereby suggesting that type 2 diabetes is largely preventable.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Rests on an assumption: The cross-sectional prevalence differences reflect lifetime risk of diabetes.
- Interpretationown data
The lifestyle of Mexican Pima Indians may result in life-long protection from type 2 diabetes, even among the majority of those genetically susceptible.
“The much lower prevalence of diabetes in the Mexican Pima Indians aged Ն55 years (9%) compared with that in the U.S. Pima Indians (77%) suggests that the lifestyle of the Mexican Pima Indians may result in life-long protection from type 2 diabetes, even among the majority of those who are genetically susceptible.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Rests on an assumption: The cross-sectional prevalence differences reflect lifetime risk of diabetes.
- Interpretationreasoning
The low prevalence of type 2 diabetes in the two Mexican populations is largely, if not entirely, the result of their lesser obesity.
“Although cause and effect cannot be proven from a crosssectional study, we propose that the low prevalence of type 2 diabetes in the two Mexican populations is largely, if not entirely, the result of their lesser obesity.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Rests on an assumption: The cross-sectional prevalence differences reflect lifetime risk of diabetes.
- Interpretationreasoning
The fivefold difference in diabetes prevalence between Mexican and U.S. Pima can be attributed only to differences in lifestyles and environments.
“Given the similar genetic background of the Mexican and U.S. Pima-Indian populations, it is most likely that the fivefold difference in diabetes prevalence can be attributed only to differences in lifestyles and environments.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Interpretationreasoning
Differences in physical activity between the Mexican populations and the U.S. Pima Indians are largely environmentally determined.
“The differences in physical activity between the Mexican populations and the U.S. Pima Indians are largely environmentally determined.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Premisecitation
Randomized controlled clinical trials have shown that weight loss and increased physical activity reduce the incidence of type 2 diabetes in high-risk individuals, including American Indians with IGT.
“Furthermore, randomized controlled clinical trials have shown that weight loss and increased physical activity reduce the incidence of type 2 diabetes in high-risk individuals, including American Indians, who have IGT (27,28).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [27] Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, Keinanen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M: Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 344:1343–1350, 2001 source
Not checked in the free run.
- cites [28] Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM: Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 346:393–403, 2002 source
Not checked in the free run.
- May combine two claims. 9
- Classified as probably not a substantial claim. 6
May combine two claims.
Findingown dataThe two Pima groups are not identical but cluster together and share common ancestry distinct from other Native Americans with a supporting bootstrap value of 95% (947 of 1,000).
“The two Pima groups are not identical but cluster together and share common ancestry distinct from other Native Americans with a supporting bootstrap value of 95% (947 of 1,000).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBMI, waist and hip circumference, and percent body fat were similar in Pima and non-Pima Mexican men and women, but markedly greater in the U.S. Pima group.
“BMI, waist and hip circumference, and percent body fat were similar in the Pima and non-Pima Mexican men and women, respectively, but markedly greater in the U.S. Pima group.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
May combine two claims.
Findingown dataThe prevalence of obesity was similar in Mexican Pima Indians and non-Pima Mexicans but much lower than in U.S. Pima Indians.
“The prevalence of obesity was similar in the Mexican Pima Indians (7% in men and 20% in women) and non-Pima Mexicans (9% in men and 27% in women) but was much lower than in the U.S. Pima Indians.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
May combine two claims.
Findingown dataLevels of moderate to heavy physical activity were ~2.5-fold higher in Mexican men and 7-fold higher in Mexican women than in their U.S. Pima-Indian counterparts.
“The levels of moderate to heavy physical activity were ϳ2.5-fold higher in the Mexican men and 7-fold higher in the Mexican women than in their U.S. Pima-Indian counterparts.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
May combine two claims.
PremisecitationObesity and physical inactivity are major behavioral risk factors for type 2 diabetes.
“Obesity and physical inactivity are major behavioral risk factors for the disease (22,23), although other factors such as low birth weight, breast-feeding, and the intrauterine environment also play a role (24 -26).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [22] Knowler WC, Pettitt DJ, Savage PJ, Bennett PH: Diabetes incidence in Pima Indians: contributions of obesity and parental diabetes. Am J Epidemiol 113:144–156, 1981 source
Not checked in the free run.
- cites [23] Kriska AM, Saremi A, Hanson RL, Bennett PH, Kobes S, Williams DE, Knowler WC: Physical activity, obesity, and the incidence of type 2 diabetes in a high-risk population. Am J Epidemiol 158:669–675, 2003 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationAll subjects were administered an activity questionnaire.
“All subjects were administered an activity questionnaire (13).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Kriska AM, Knowler WC, LaPorte RE, Drash AL, Wing RR, Blair SN, Bennett PH, Kuller LH: Development of questionnaire to examine relationship of physical activity and diabetes in Pima Indians. Diabetes Care 13:401–411, 1990 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenA difference between these Pima populations in frequencies of as yet unidentified diabetes susceptibility genes resulting from genetic drift or founder effects cannot be excluded.
“Nonetheless, a difference between these Pima populations in frequencies of as yet unidentified diabetes susceptibility genes resulting from genetic drift or founder effects cannot be excluded.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationPercent body fat was estimated from bioelectrical impedance using an equation developed for the U.S. Pima Indians.
“Percent body fat was estimated from bioelectrical impedance (BIA-103; RJL Systems) using an equation developed for the U.S. Pima Indians (12).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] Rising R, Swinburn B, Larson K, Ravussin E: Body composition in Pima Indians: validation of bioelectrical resistance. Am J Clin Nutr 53:594–598, 1991 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataComplete glucose tolerance data were obtained for 77.2% of the eligible Mexican Pima Indians and for 71.5% of the non-Pima Mexicans.
“Complete glucose tolerance data were obtained for 77.2% of the eligible Mexican Pima Indians and for 71.5% of the non-Pima Mexicans.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationU.S. Pima Indians have the world's highest recorded prevalence and incidence of type 2 diabetes.
“The Pima Indians in the U.S. reside mainly in the desert regions of Arizona and have the world's highest recorded prevalence and incidence of type 2 diabetes (5,6).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [5] Bennett PH, Burch TA, Miller M: Diabetes mellitus in American (Pima) Indians. Lancet 2:125–128, 1971 source
Not checked in the free run.
- cites [6] Knowler WC, Pettitt DJ, Saad MF, Bennett PH: Diabetes mellitus in the Pima Indians: incidence, risk factors and pathogenesis. Diabetes Metab Rev 6:1–27, 1990 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningEven in a genetically highly susceptible population, type 2 diabetes is not inevitable and is preventable in environments that promote low levels of obesity and high levels of physical activity.
“The findings indicate that, even in a genetically highly susceptible population, type 2 diabetes is not inevitable and is preventable in environments that promote low levels of obesity and high levels of physical activity.”
Quote in the paperSubstantial claim- Rests on an assumption: The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
- Rests on an assumption: The cross-sectional prevalence differences reflect lifetime risk of diabetes.
May combine two claims.
Interpretationown dataBased on genetic data, U.S. Pima and Mexican Pima Indians are closely related to each other and share a very similar gene pool.
“Based on these data, the U.S. Pima and the Mexican Pima Indians are closely related to each other and share a very similar gene pool.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataDirectly standardized age- and sex-adjusted prevalence rates of diabetes were compared among the populations, using the combined Mexican Pima and non-Pima samples as the reference population.
“Directly standardized age-and age-and sex-adjusted prevalence rates of diabetes were compared among the populations, using the combined Mexican Pima and non-Pima samples (within the age and sex groups shown in Table 1) as the reference population.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationDiabetes and impaired glucose tolerance were defined using 1999 World Health Organization criteria.
“Diabetes and impaired glucose tolerance were defined using 1999 World Health Organization criteria (11).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] World Health Organization Consultation-Group: Definition, Diagnosis and Classification of Diabetes Mellitus and Its Complications. Part 1. Diagnosis and Classification of Diabetes Mellitus. Geneva, World Health Org., 1999, p. 59
Not checked in the free run.
The paper relies on this without support.
The U.S. Pima-Indian sample used for comparison is typical of the larger Pima population examined in the ongoing longitudinal study.
“The data in the U.S. Pima-Indian sample used for comparison are typical of those seen in the larger Pima population examined in the ongoing longitudinal study.”
The paper relies on this without support.
The 24-h dietary recall accurately represents the usual diet of the Mexican populations.
“A 24-h dietary recall was conducted in the Mexican populations.”
The paper relies on this without support.
The non-Pima Mexicans have no parental Amerindian heritage.
“The non-Pima Mexicans reported no parental Amerindian heritage.”
The paper relies on this without support.
The Pima heritage classification accurately identifies full and part Pima individuals.
“Subjects were considered full Pima if they reported that both their parents were full Pima and part Pima if one parent was Pima.”
The paper relies on this without support.
The cross-sectional prevalence differences reflect lifetime risk of diabetes.
“The much lower prevalence of diabetes in the Mexican Pima Indians aged Ն55 years (9%) compared with that in the U.S. Pima Indians (77%) suggests that the lifestyle of the Mexican Pima Indians may result in life-long protection from type 2 diabetes, even among the majority of those who are genetically susceptible.”
Claims other papers make about this one
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Large disparities in both the prevalence of established risk factors and the rates of cardiovascular events in genetically similar populations both over time and across regions confirm that genetic effects are subordinate to lifestyle and environmental influences.
“large disparities in both the prevalence of established risk factors and the rates of cardiovascular events in genetically similar populations both over time and across regions confirm that genetic effects are subordinate to lifestyle and environmental influences.50 -52,57-59”
From Beyond Established and Novel Risk Factors: Lifestyle Risk Factors for Cardiovascular Disease (2008) · cites this paper as [52]
Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011 · see citing works
Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1047 · Cited by 15,297 · see citing works
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873 · cited 5× · see citing works
“Abbreviations: IGT, impaired glucose tolerance.”
BackgroundInfluentialStatistics with Confidence: Confidence Intervals and Statistical Guidelines.
JOLLIFFE, F. R., Gardner, M. J., & Altman, D. G. (1990) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.2307/2982808 · Cited by 1,319 · see citing works
Dabelea, D., Hanson, R. L., Lindsay, R. S., Pettitt, D. J., Imperatore, G., Gabir, M. M., Roumain, J., Bennett, P. H., & Knowler, W. C. (2000) · Diabetes · doi:10.2337/diabetes.49.12.2208 · Cited by 1,277 · see citing works
Self-citationSources of data for developing and maintaining a nutrient database.
Schakel, S., Sievert, Y. A., & Buzzard, I. M. (1988) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(21)07997-9 · Cited by 757 · see citing works
Kriska, A. M., Knowler, W. C., LaPorte, R. E., Drash, A. L., Wing, R. R., Blair, S. N., Bennett, P. H., & Kuller, L. H. (1990) · Diabetes Care · doi:10.2337/diacare.13.4.401 · Cited by 755 · cited 1× · see citing works
“All subjects were administered an activity questionnaire (13).”
BackgroundSelf-citationThe theory of gene frequencies
Wright, S. (1969) · University of Chicago Press eBooks · Cited by 755 · see citing works
Diabetes mellitus in the Pima Indians: Incidence, risk factors and pathogenesis
Knowler, W. C., Pettitt, D. J., Saad, M. F., & Bennett, P. H. (1990) · Diabetes/Metabolism Reviews · doi:10.1002/dmr.5610060101 · Cited by 578 · see citing works
Self-citationDIABETES INCIDENCE IN PIMA INDIANS: CONTRIBUTIONS OF OBESITY AND PARENTAL DIABETES1
KNOWLER, W. C., PETTITT, D. J., SAVAGE, P. J., & BENNETT, P. H. (1981) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113079 · Cited by 561 · see citing works
Self-citationImplications of biogeography of human populations for 'race' and medicine
Tishkoff, S., & Kidd, K. (2004) · Nature Genetics · doi:10.1038/ng1438 · Cited by 468 · see citing works
Self-citationEffects of a Traditional Lifestyle on Obesity in Pima Indians
Ravussin, E., Valencia, M. E., Esparza, J., Bennett, P. H., & Schulz, L. O. (1994) · Diabetes Care · doi:10.2337/diacare.17.9.1067 · Cited by 376 · cited 1× · see citing works
“Pima Indians, they have experienced relatively little recent change in environmental conditions (9,10).”
BackgroundSelf-citationBreastfeeding and incidence of non-insulin-dependent diabetes mellitus in Pima Indians
Pettitt, D. J., Forman, M. R., Hanson, R. L., Knowler, W. C., & Bennett, P. H. (1997) · The Lancet · doi:10.1016/s0140-6736(96)12103-6 · Cited by 357 · see citing works
Self-citationDIABETES MELLITUS IN AMERICAN (PIMA) INDIANS
Bennett, P., Burch, T., & Miller, M. (1971) · The Lancet · doi:10.1016/s0140-6736(71)92303-8 · Cited by 338 · see citing works
Self-citationHAPLO: A Program Using the EM Algorithm to Estimate the Frequencies of Multi-site Haplotypes
Hawley, M. E., & Kídd, K. K. (1995) · Journal of Heredity · doi:10.1093/oxfordjournals.jhered.a111613 · Cited by 323 · see citing works
Self-citationBirth weight, type 2 diabetes, and insulin resistance in Pima Indian children and young adults.
Dabelea, D., Pettitt, D. J., Hanson, R. L., Imperatore, G., Bennett, P. H., & Knowler, W. C. (1999) · Diabetes Care · doi:10.2337/diacare.22.6.944 · Cited by 272 · see citing works
Self-citationPhysical Activity, Obesity, and the Incidence of Type 2 Diabetes in a High-Risk Population
Kriska, A. M. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwg191 · Cited by 259 · see citing works
The epidemiology and natural history of NIDDM—lessons from the South Pacific
Zimmet, P., Dowse, G., Finch, C., Serjeantson, S., & King, H. (1990) · Diabetes/Metabolism Reviews · doi:10.1002/dmr.5610060203 · Cited by 214 · see citing works
Esparza, J., Fox, C., Harper, I., Bennett, P., Schulz, L., Valencia, M., & Ravussin, E. (2000) · International Journal of Obesity · doi:10.1038/sj.ijo.0801085 · Cited by 184 · see citing works
Self-citationGenetic and Environmental Determinants of Type II Diabetes in Mexico City and San Antonio
D, M. P. S. M., González, C., Mitchell, B. D., Villalpando, E., Haffner, S. M., & Hazuda, H. P. (1992) · Diabetes · doi:10.2337/diab.41.4.484 · Cited by 178 · see citing works
Increased Incidence of Type II Diabetes Mellitus in Mexican Americans
Haffner, S. M., Hazuda, H. P., Mitchell, B. D., Patterson, J. K., & D, M. P. S. M. (1991) · Diabetes Care · doi:10.2337/diacare.14.2.102 · Cited by 171 · see citing works
Westernisation, insulin resistance and diabetes in Australian Aborigines
O’Dea, K. (1991) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1991.tb142236.x · Cited by 166 · see citing works
Genetic Studies of the Etiology of Type 2 Diabetes in Pima Indians
Baier, L. J., & Hanson, R. L. (2004) · Diabetes · doi:10.2337/diabetes.53.5.1181 · Cited by 109 · see citing works
Understanding human DNA sequence variation.
Kidd, K., Pakstis, A., Speed, W. C., & Kidd, J. (2004) · Journal of Heredity · doi:10.1093/jhered/esh060 · Cited by 91 · see citing works
Self-citationSurvey of the Diet of Pima Indians Using Quantitative Food Frequency Assessment and 24-Hour Recall
Smith, C. J., Nelson, R. G., Hardy, S. A., Manahan, E. M., Bennett, P. H., & Knowler, W. C. (1996) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(96)00216-7 · Cited by 88 · see citing works
Self-citationBody composition in Pima Indians: validation of bioelectrical resistance
Rising, R., Swinburn, B., Larson, K., & Ravussin, E. (1991) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/53.3.594 · Cited by 77 · see citing works
Self-citationALFRED: An allele frequency database for anthropology.
Osier, M., Cheung, K.-H., Kidd, J., Pakstis, A., Miller, P., & Kidd, K. (2002) · American Journal of Physical Anthropology · doi:10.1002/ajpa.10094 · Cited by 64 · see citing works
Self-citationHaro, M. I. G., Caire, G., Sánchez, A., et al. (1995) · PubMed · Cited by 7 · see citing works
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Obesity: global epidemiology and pathogenesis
Blüher, M. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0176-8 · Cited by 5,126 · see citing works
Epidemiology of Diabetes and Diabetes-Related Complications
Deshpande, A. D., Harris-Hayes, M., & Schootman, M. (2008) · Physical Therapy · doi:10.2522/ptj.20080020 · Cited by 1,773 · see citing works
Role of Inactivity in Chronic Diseases: Evolutionary Insight and Pathophysiological Mechanisms
Booth, F. W., Roberts, C. K., Thyfault, J. P., Ruegsegger, G. N., & Toedebusch, R. G. (2017) · Physiological Reviews · doi:10.1152/physrev.00019.2016 · Cited by 696 · see citing works
Chater, N., & Loewenstein, G. (2023) · Behavioral and Brain Sciences · doi:10.1017/s0140525x22002023 · Cited by 710 · see citing works
An Environment-Wide Association Study (EWAS) on Type 2 Diabetes Mellitus
Patel, C. J., Bhattacharya, J., & Butte, A. J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010746 · Cited by 581 · see citing works
Bays, H. E., González-Campoy, J. M., Bray, G. A., Kitabchi, A. E., Bergman, D. A., Schorr, A. B., Rodbard, H. W., & Henry, R. R. (2008) · Expert Review of Cardiovascular Therapy · doi:10.1586/14779072.6.3.343 · Cited by 531 · see citing works
Personal Responsibility And Obesity: A Constructive Approach To A Controversial Issue
Brownell, K. D., Kersh, R., Ludwig, D. S., Post, R. C., Puhl, R. M., Schwartz, M. B., & Willett, W. C. (2010) · Health Affairs · doi:10.1377/hlthaff.2009.0739 · Cited by 455 · see citing works
Beyond Established and Novel Risk Factors: Lifestyle Risk Factors for Cardiovascular Disease
Mozaffarian, D., Wilson, P. W. F., & Kannel, W. B. (2008) · Circulation · doi:10.1161/circulationaha.107.738732 · Cited by 456 · see citing works
Energy metabolism, fuel selection and body weight regulation
Galgani, J. E., & Ravussin, É. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.246 · Cited by 372 · see citing works
Self-citationPima Indians diabetes mellitus classification based on machine learning (ML) algorithms
Chang, V. I. C., Bailey, J., Xu, Q. A., et al. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07049-z · Cited by 326 · see citing works
Misrepresenting Race — The Role of Medical Schools in Propagating Physician Bias
Amutah, C., Greenidge, K., Mante, A., Munyikwa, M. R., Surya, S. L., Higginbotham, E. J., Jones, D. S., Lavizzo‐Mourey, R. J., Roberts, D. E., Tsai, J. W., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmms2025768 · Cited by 324 · see citing works
Genomics of disease risk in globally diverse populations
Gurdasani, D., Barroso, I., Zeggini, E., & Sandhu, M. S. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0144-0 · Cited by 299 · see citing works
Diabetes and apoptosis: lipotoxicity
Kusminski, C. M., Shetty, S., Orci, L., Unger, R. H., & Scherer, P. E. (2009) · Apoptosis · doi:10.1007/s10495-009-0352-8 · Cited by 302 · see citing works
Hyperinsulinemia: An Early Indicator of Metabolic Dysfunction
Thomas, D. D., Corkey, B. E., Istfan, N. W., & Apovian, C. M. (2019) · Journal of the Endocrine Society · doi:10.1210/js.2019-00065 · Cited by 261 · see citing works
“Detailed metabolic studies have shown the important contribution of hyperinsulinemia in Pima Indians, who have a remarkably high prevalence of T2D of 38% [64].”
BackgroundThe thrifty epigenotype: An acquired and heritable predisposition for obesity and diabetes?
Stöger, R. J. (2008) · BioEssays · doi:10.1002/bies.20700 · Cited by 249 · see citing works
The anti-obesity effects of green tea in human intervention and basic molecular studies
Huang, J., Wang, Y., Xie, Z., Zhou, Y., Zhang, Y., & Wan, X. (2014) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2014.143 · Cited by 227 · see citing works
Current insights and emerging trends in early-onset type 2 diabetes
Misra, S., Ke, C., Srinivasan, S., Goyal, A., Nyrienda, M. J., Florez, J. C., Khunti, K. K., Magliano, D. J., & Luk, A. O. Y. (2023) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(23)00225-5 · Cited by 239 · see citing works
Forman, E. M., & Butryn, M. L. (2015) · Appetite · doi:10.1016/j.appet.2014.10.004 · Cited by 208 · see citing works
“…and be at rest suggest that overeating and sedentariness are default positions, i.e., the decisions we will make (whether implicitly or explicitly) unless we deliberately apply psychological skills designed to resist the powerful forces at work (Schulz et al., 2006; Tordoff, 2002; Wansink, 2006).”
The prevalence of metabolic syndrome in Latin America: a systematic review
Márquez‐Sandoval, F., Ojeda, G. M., Hörner, D. V., Fernandez-Ballart, J. D., Salas‐Salvadó, J., & Vizmanos-Lamotte, B. (2011) · Public Health Nutrition · doi:10.1017/s1368980010003320 · Cited by 203 · see citing works
Maternal and Child Obesity: The Causal Link
Oken, E. (2009) · Obstetrics and Gynecology Clinics of North America · doi:10.1016/j.ogc.2009.03.007 · Cited by 203 · see citing works
Normal weight individuals who develop Type 2 diabetes: the personal fat threshold
Taylor, R., & Holman, R. R. (2014) · Clinical Science · doi:10.1042/cs20140553 · Cited by 190 · see citing works
Ruggeri, K., Tutuska, O. S., Ladini, G. A. R., Al-Zahli, N., Alexander, N., Andersen, M., Bibilouri, K., Chen, J., Doubravová, B., Dugue, T. M., et al. (2022) · Behavioral and Brain Sciences · doi:10.2139/ssrn.4046264 · Cited by 512 · see citing works
Physical Activity in Culturally and Linguistically Diverse Migrant Groups to Western Society
Caperchione, C. M., Kolt, G. S., & Mummery, W. K. (2009) · Sports Medicine · doi:10.2165/00007256-200939030-00001 · Cited by 186 · see citing works
Nutrigenetics and Metabolic Disease: Current Status and Implications for Personalised Nutrition
Phillips, C. M. (2013) · Nutrients · doi:10.3390/nu5010032 · Cited by 179 · see citing works
“Indeed, the much lower prevalence of metabolic disease observed in Pima Indians in Mexico compared to their counterparts in America illustrates that even in populations who are genetically predisposed to these conditions, their development is largely determined by environmental factors [107,108].”
BackgroundWeight control and prevention of metabolic syndrome by green tea
Sae‐tan, S., Grove, K. A., & Lambert, J. D. (2010) · Pharmacological Research · doi:10.1016/j.phrs.2010.12.013 · Cited by 178 · see citing works
“Epidemiological studies have shown that obesity is generally more prevalent in societies that consume a Western-style diet, which, in addition to being deficient in several nutrients, is also high in fat (30-40% of kcal in diet) [6-8].”
Type 2 Diabetes: The Pathologic Basis of Reversible β-Cell Dysfunction
White, M. G., Shaw, J. A. M., & Taylor, R. (2016) · Diabetes Care · doi:10.2337/dc16-0619 · Cited by 174 · see citing works
“ethnically identical Pima Indians living in Mexico under nutritional conditions that limit adult weight gain (8).”
BackgroundVillalpando, S., de la Cruz, V., Rojas, R., Shamah-Levy, T., Ávila, M., Gaona, B., Rebollar, R., & Hernández, L. (2010) · Salud Pública de México · doi:10.1590/s0036-36342010000700005 · Cited by 163 · see citing works
Phytochemicals and their impact on adipose tissue inflammation and diabetes
Leiherer, A., Muendlein, A., & Drexel, H. (2012) · Vascular Pharmacology · doi:10.1016/j.vph.2012.09.002 · Cited by 169 · see citing works
“This is underscored in some native populations in the pacific, Australia or the U.S., displaying a disproportionately elevated prevalence of diabetes after switching to Western diet (Zimmet et al., 1990; O'Dea, 1991; Schulz et al., 2006).”
BackgroundInfluentialIsolated populations and complex disease gene identification
Kristiansson, K., Naukkarinen, J., & Peltonen, L. (2008) · Genome biology · doi:10.1186/gb-2008-9-8-109 · Cited by 165 · see citing works
“[63], and establishing whether this variation in disease”
BackgroundValeggia, C. R., & Snodgrass, J. J. (2015) · Annual Review of Anthropology · doi:10.1146/annurev-anthro-102214-013831 · Cited by 171 · see citing works
Ectopic fat and cardiovascular disease: What is the link?
Gastaldelli, A., & Basta, G. (2010) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2010.05.005 · Cited by 162 · see citing works
How evolutionary principles improve the understanding of human health and disease
Gluckman, P. D., Low, F. M., Buklijaš, T., Hanson, M. A., & Beedle, A. S. (2011) · Evolutionary Applications · doi:10.1111/j.1752-4571.2010.00164.x · Cited by 161 · see citing works
“The long historical exposure of humans to microorganisms such as helminthic worms is the basis of the ‘hygiene hypothesis’, which argues that since humans have begun to be reared in more hygienic circumstances, the incidence of certain diseases has risen (Bresciani et al. 2005).”
BackgroundEvolutionary mutant models for human disease
Albertson, R. C., Cresko, W. A., Detrich, H. W., & Postlethwait, J. H. (2008) · Trends in Genetics · doi:10.1016/j.tig.2008.11.006 · Cited by 158 · see citing works
Gene-Environment and Gene-Treatment Interactions in Type 2 Diabetes
Franks, P. W., Pearson, E. R., & Florez, J. C. (2013) · Diabetes Care · doi:10.2337/dc12-2211 · Cited by 154 · see citing works
Ethnic and population differences in the genetic predisposition to human obesity
Stryjecki, C., Alyass, A., & Meyre, D. (2017) · Obesity Reviews · doi:10.1111/obr.12604 · Cited by 142 · see citing works
“women respectively), are a living example of the transition from a traditional to a modern, sedentary lifestyle (23).”
BackgroundInfluentialChanging Patterns of Type 2 Diabetes Incidence Among Pima Indians
Pavkov, M. E., Hanson, R. L., Knowler, W. C., Bennett, P. H., Krakoff, J. A., & Nelson, R. G. (2007) · Diabetes Care · doi:10.2337/dc06-2010 · Cited by 143 · see citing works
Self-citationPhysical exercise for the prevention and treatment of type 2 diabetes
Sanz, C., Gautier, J., & Hanaire, H. P. (2010) · Diabetes & Metabolism · doi:10.1016/j.diabet.2010.06.001 · Cited by 138 · see citing works
Steele, C. B., Cardinez, C. J., Richardson, L. C., Tom-Orme, L., & Shaw, K. M. (2008) · Cancer · doi:10.1002/cncr.23727 · Cited by 131 · see citing works
“Increases in the prevalence of diabetes are expected to occur similar to other subpopulations in the Southwestern US as they adopt a more Western lifestyle and diet.(27) The prevalence is increasing faster in Alaska than in the continental US.”
BackgroundMechanisms of Kaempferol in the treatment of diabetes: A comprehensive and latest review
Yang, Y., Chen, Z., Zhao, X., Xie, H., Du, L., Gao, H. L., & Xie, C. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.990299 · Cited by 133 · see citing works
Epidemiology of diabetes mellitus in Mexico
Bello-Chavolla, O. Y., Rojas-Martínez, R., Aguilar-Salinas, C., & Hernández-Ávila, M. (2017) · Nutrition reviews · doi:10.1093/nutrit/nuw030 · Cited by 104 · see citing works
Brown Adipose Tissue: Mechanisms and Potential Therapeutic Targets
Tam, C. S., Lecoultre, V., & Ravussin, E. (2012) · Circulation · doi:10.1161/circulationaha.111.042929 · Cited by 116 · see citing works
Self-citationType 2 diabetes mellitus: epidemiology, pathophysiology, unmet needs and therapeutical perspectives
Virally, M., Blickle, J., Girard, J. R., Halimi, S., Simon, D., & Guillausseau, P.-J. (2007) · Diabetes & Metabolism · doi:10.1016/j.diabet.2007.07.001 · Cited by 118 · see citing works
Lawlor, D. A. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dys209 · Cited by 114 · see citing works
Socioeconomic Position and Type 2 Diabetes Mellitus in Europe 1999- 2009: a Panorama of Inequalities
Espelt, A., Arriola, L., Borrell, C., Larrañaga, I., Vázquez, M. S., & Escolar-Pujolar, A. (2011) · Current Diabetes Reviews · doi:10.2174/157339911795843131 · Cited by 111 · see citing works
“Thus for example, immigrant populations from countries such as India, Singapore, or Fiji in the United Kingdom and other Western countries present prevalences as much as 8 times higher than those corresponding to their country of origin [3, 58] and this increase may be due in part to their worse socioeconomic position…”
BackgroundSpreadbury, I. (2012) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s33473 · Cited by 112 · see citing works
Schipf, S., Werner, A., Tamayo, T., et al. (2012) · Diabetic Medicine · doi:10.1111/j.1464-5491.2012.03578.x · Cited by 109 · see citing works
Gene-Environment Interactions in Obesity
Hetherington, M. M., & Cecil, J. E. (2009) · Forum of nutrition/Bibliotheca Nutritio et dieta · doi:10.1159/000264407 · Cited by 108 · see citing works
Obesity: Pathophysiology and Clinical Management
Gurevich-Panigrahi, T., Panigrahi, S., Wiecheć, E., & Łoś, M. (2009) · Current Medicinal Chemistry · doi:10.2174/092986709787315568 · Cited by 109 · see citing works
“They are on average 57 pounds he avier t han t he Mexican group a nd ha ve a hi gher incidence of early onset NIDDM [69] [70].”
BackgroundDiabetes Detection Using Machine Learning Classification Methods
Abdulhadi, N., & Al-Mousa, A. A. (2021) · doi:10.1109/icit52682.2021.9491788 · Cited by 106 · see citing works
Schootman, M., Andresen, E. M., Wolinsky, F. D., Malmstrom, T. K., Miller, J. P., Yan, Y., & Miller, D. K. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm190 · Cited by 104 · see citing works
Because its power remains naturalized: introducing the settler colonial determinants of health
Wispelwey, B. P., Tanous, O., Asi, Y., Hammoudeh, W., & Mills, D. E. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1137428 · Cited by 127 · see citing works
“Despite dubious reference to susceptible genetics and the lack of terminological specificity in the proposed driver of “Westernization,” researchers identified a much lower prevalence of diabetes in Pima Indians living in Mexico than in the pioneering settler state of the US (180).”
BackgroundRacialized Genetics and the Study of Complex Diseases: The Thrifty Genotype Revisited
Paradies, Y., Montoya, M. J., & Fullerton, S. M. (2007) · Perspectives in biology and medicine · doi:10.1353/pbm.2007.0020 · Cited by 98 · see citing works
Genotype-by-Diet Interactions Drive Metabolic Phenotype Variation inDrosophila melanogaster
Reed, L. K., Williams, S., Springston, M., Brown, J., Freeman, K., DESROCHES, C. E., Sokolowski, M. B., & Gibson, G. C. (2010) · Genetics · doi:10.1534/genetics.109.113571 · Cited by 94 · see citing works
Corona, E., Chen, R., Sikora, M., Morgan, A. A., Patel, C. J., Ramesh, A., Bustamante, C. D., & Butte, A. J. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003447 · Cited by 92 · see citing works
Toward Precision Approaches for the Prevention and Treatment of Obesity
Yanovski, S. Z., & Yanovski, J. A. (2018) · JAMA · doi:10.1001/jama.2017.20051 · Cited by 91 · see citing works
Li, Y., Xu, X., Liang, Y., Liu, S., Xiao, H., Li, F., Cheng, H., & Zu-zhi, F. (2010) · PubMed Central · Cited by 83 · see citing works
Type 2 diabetes and remission: practical management guided by pathophysiology
Taylor, R. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13214 · Cited by 84 · see citing works
Archer, E. (2014) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2014.08.006 · Cited by 78 · see citing works
Understanding the cause of type 2 diabetes
Taylor, R. (2024) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(24)00157-8 · Cited by 83 · see citing works
Adult‐onset diabetes among Arabs and Jews in Israel: a population‐based study
Kalter‐Leibovici, O., Chetrit, A., Lubin, F., Atamna, A., Alpert, G., Ziv, A., Abu-Saad, K., Murad, H., Eilat-Adar, S., & Goldbourt, U. (2011) · Diabetic Medicine · doi:10.1111/j.1464-5491.2011.03516.x · Cited by 78 · see citing works
Castro, F. G., Shaibi, G. Q., & Boehm-Smith, E. (2008) · Journal of Behavioral Medicine · doi:10.1007/s10865-008-9194-z · Cited by 78 · see citing works
Matzkin, L. M., Johnson, S., Paight, C., et al. (2011) · Journal of Nutrition · doi:10.3945/jn.111.138438 · Cited by 75 · see citing works
“Some human populations have responded to rather sudden increases in dietary carbohydrates by developing metabolic disorders such as type 2 diabetes (29).”
BackgroundArcher, E., Lavie, C. J., & Hill, J. O. (2018) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2018.06.002 · Cited by 76 · see citing works
Celis-Morales, C. A., Pérez‐Bravo, F., Ibañes, L., Sanzana, R., Hormazabal, E., Natalia Ulloa, M., Calvo, C., Bailey, M. E. S., & Gill, J. M. R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024690 · Cited by 74 · see citing works
Satterfield, D., Debruyn, L., Santos, M., Alonso, L., & Frank, M. (2016) · MMWR Supplements · doi:10.15585/mmwr.su6501a3 · Cited by 73 · see citing works
Systems Genomics of Metabolic Phenotypes in Wild-TypeDrosophila melanogaster
Reed, L. K., Lee, K. C., Zhang, Z., Rashid, L. H., Poe, A. R., Hsieh, B., Deighton, N., Glassbrook, N., Bodmer, R., & Gibson, G. C. (2014) · Genetics · doi:10.1534/genetics.114.163857 · Cited by 71 · see citing works
“The dramatic increase in MetS and its related diseases in westernized nations can be largely blamed on environmental (lifestyle) effects rather than genetic effects alone (Schulz et al. 2006).”
BackgroundUmpierrez, G. E., Gonzalez, A., Umpierrez, D., & Pimentel, D. (2007) · The American Journal of the Medical Sciences · doi:10.1097/maj.0b013e3180a6efe3 · Cited by 71 · see citing works
The Epidemiology of Obesity and Gastrointestinal and Other Diseases: An Overview
Moayyedi, P. (2008) · Digestive Diseases and Sciences · doi:10.1007/s10620-008-0410-z · Cited by 71 · see citing works
“the former group compared with the latter despite genetic similarities [ 70 ].”
ResultHarding, J. L., Weber, M. B., & Shaw, J. E. (2024) · Wiley eBooks · doi:10.1002/9781119697473.ch3 · Cited by 78 · see citing works
Early-onset type 2 diabetes: the next major diabetes transition
Luk, A. O. Y., Wild, S. H., Jones, S., Anjana, R. M., Hivert, M., McCaffrey, J., Gregg, E. W., & Misra, S. (2025) · The Lancet · doi:10.1016/s0140-6736(25)00830-x · Cited by 85 · see citing works
High-Risk Populations: The Pimas of Arizona and Mexico
Schulz, L. O., & Chaudhari, L. S. (2015) · Current Obesity Reports · doi:10.1007/s13679-014-0132-9 · Cited by 71 · see citing works
“Most importantly, a genetic analysis was conducted and concluded that Arizona and Mexican Pimas are closely related and share a similar gene pool [20].”
InfluentialSelf-citationImproving Metabolic Health Through Precision Dietetics in Mice
Barrington, W. T., Wulfridge, P., Wells, A., Rojas, C. M., Howe, S., Perry, A. L., Hua, K., Pellizzon, M., Hansen, K. D., Voy, B. H., et al. (2017) · Genetics · doi:10.1534/genetics.117.300536 · Cited by 64 · see citing works
“However, as in humans (O’Dea1992; Schulz et al. 2006), the severity of the effects varied across genetic backgrounds.”
BackgroundPhysical Activity and Incident Diabetes in American Indians: The Strong Heart Study
Fretts, A. M., Howard, B. V., Kriska, A. M., Smith, N., Lumley, T., Lee, E. T., Russell, M., & Siscovick, D. S. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp181 · Cited by 66 · see citing works
Garvey, W. T. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2021.11.082 · Cited by 66 · see citing works
Inhibition of Succinate Dehydrogenase by Pesticides (SDHIs) and Energy Metabolism
Bouillaud, F. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24044045 · Cited by 68 · see citing works
Sommerweiss, D., Gorski, T., Richter, S., Garten, A., & Kieß, W. (2013) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2013.10.130 · Cited by 65 · see citing works
“A key element in the development of diabetes is obesity [8, 9].”
BackgroundMetabolic syndrome in indigenous communities in Mexico: a descriptive and cross-sectional study
Mendoza‐Caamal, E., Barajas-Olmos, F. M., Garcia‐Ortíz, H., Cicerón-Arellano, I., Martínez-Hernández, A. G., Córdova, E. J., Esparza‐Aguilar, M., Contreras-Cubas, C., Centeno-Cruz, F., Cid-Soto, M. A., et al. (2020) · BMC Public Health · doi:10.1186/s12889-020-8378-5 · Cited by 63 · see citing works
Thearle, M. S., Muller, Y. L., Hanson, R. L., Mullins, M., Abdussamad, M., Tran, J., Knowler, W. C., Bogardus, C., Krakoff, J. A., & Baier, L. J. (2011) · Diabetes · doi:10.2337/db11-0708 · Cited by 62 · see citing works
Physical fitness and anthropometric normative values among Colombian-Indian schoolchildren
Ramos-Sepúlveda, J. A., Ramírez‐Vélez, R., Correa‐Bautista, J. E., Izquierdo, M., & García‐Hermoso, A. (2016) · BMC Public Health · doi:10.1186/s12889-016-3652-2 · Cited by 62 · see citing works
“The classic example of this is the Pima Indians, who when living a traditional rural lifestyle in Mexico are lean, active and have a low diabetes prevalence, but when living in the US, are generally obese and have prevalence of diabetes mellitus and other noncommunicable diseases in the adult population of ~40 % [52].”
BackgroundKattelmann, K. K., Conti, K., & Ren, C. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2010.03.003 · Cited by 61 · see citing works
The sedentary (r)evolution: Have we lost our metabolic flexibility?
Freese, J., Klement, R. J., Ruiz-Núñez, B., Schwarz, S., & Lötzerich, H. (2017) · F1000Research · doi:10.12688/f1000research.12724.2 · Cited by 74 · see citing works
The Israel Diabetes and Cognitive Decline (IDCD) study: Design and baseline characteristics
Beeri, M. S., Ravona‐Springer, R., Moshier, E. L., Schmeidler, J., Godbold, J., Karpati, T., LeRoith, D., Koifman, K., Kravitz, E., Price, R., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.06.002 · Cited by 59 · see citing works
Physical activity, ethnicity and cardio-metabolic health: Does one size fit all?
Gill, J. M. R., Celis-Morales, C. A., & Ghouri, N. (2013) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2013.11.039 · Cited by 57 · see citing works
“5-fold and w7-fold higher physical activity levels than the US Pima counterparts [92,93].”
BackgroundReducing Diabetes Risk in American Indian Women
Thompson, J. L., Allen, P. M., Helitzer, D., Qualls, C., Whyte, A. N., Wolfe, V. K., & Herman, C. J. (2008) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.11.014 · Cited by 55 · see citing works
Glasofer, D. R., Haaga, D. A. F., Hannallah, L. M., Field, S. E., Kozlosky, M., Reynolds, J. C., Yanovski, J. A., & Tanofsky‐Kraff, M. (2013) · International Journal of Eating Disorders · doi:10.1002/eat.22160 · Cited by 54 · see citing works
Kattelmann, K. K., Conti, K., & Ren, C. (2009) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.06.362 · Cited by 53 · see citing works
Díaz-Apodaca, B. A., Ebrahim, S. B. J., McCormack, V., de Cosio, F. G., & Ruiz-Holguín, R. (2010) · Revista Panamericana de Salud Pública · doi:10.1590/s1020-49892010000900007 · Cited by 52 · see citing works
Afable, A., Mayeda, E. R., Pérez‐Stable, E. J., & Haan, M. N. (2013) · American Journal of Public Health · doi:10.2105/ajph.2012.300969 · Cited by 50 · see citing works
“The Mexican-origin population and higher event rate populations present unique opportunities to disentangle and study the role of genetics and how it may interact with chronic stressors and change in environments and behaviors.(78) RESEARCH AND PRACTICE”
From a glucocentric to a lipocentric approach towards metabolic syndrome
Mittra, S., Bansal, V. S., & Bhatnagar, P. K. (2008) · Drug Discovery Today · doi:10.1016/j.drudis.2008.01.006 · Cited by 48 · see citing works
Okumiya, K., Sakamoto, R., Ishimoto, Y., Kimura, Y., Fukutomi, E., Ishikawa, M., Suwa, K., Imai, H., Chen, W., Kato, E., et al. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-009728 · Cited by 47 · see citing works
Planning the Human Variome Project: The Spain report
Kaput, J., Cotton, R. G. H., Hardman, L., Watson, M. S., Aqeel, A. I. A., Al-Aama, J. Y., Al‐Mulla, F., Alonso, S., Aretz, S., Auerbach, A. D., et al. (2009) · Human Mutation · doi:10.1002/humu.20972 · Cited by 48 · see citing works
Dietary Transitions and Health Outcomes in Four Populations – Systematic Review
Pressler, M., Devinsky, J., Duster, M., Lee, J. H., Glick, C. S., Wiener, S., Laze, J., Friedman, D., Roberts, T. R., & Devinsky, O. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.748305 · Cited by 47 · see citing works
Enang, O., Otu, A. A., Essien, O., Okpara, H., Fasanmade, O. A., Ohwovoriole, A. E., & Searle, J. (2014) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2014-000032 · Cited by 47 · see citing works
Tale of two Indians: Heterogeneity in type 2 diabetes pathophysiology
Staimez, L. R., Deepa, M., Ali, M. K., Mohan, V., Hanson, R. L., & Narayan, K. M. V. (2019) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3192 · Cited by 46 · see citing works
Western Diseases: An Evolutionary Perspective
Pollard, T. M. (2008) · Durham Research Online (Durham University) · Cited by 48 · see citing works
Esparza‐Romero, J., Valencia, M. E., Urquídez-Romero, R., Chaudhari, L. S., Hanson, R. L., Knowler, W. C., Ravussin, É., Bennett, P. H., & Schulz, L. O. (2015) · Diabetes Care · doi:10.2337/dc15-0089 · Cited by 49 · see citing works
Self-citationHigh prevalence of type 2 diabetes mellitus in Xavante Indians from Mato Grosso, Brazil.
Fabbro, A. L. D., Franco, L. J., da Silva, A. S., et al. (2014) · PubMed · Cited by 45 · see citing works
Phillips-Beck, W., Sinclair, S., Campbell, R., Star, L., Cidro, J., Wicklow, B., Guillemette, L., Morris, M. I., & McGavock, J. M. (2019) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174418000661 · Cited by 44 · see citing works
Do gene–environment interactions have implications for the precision prevention of type 2 diabetes?
Sørensen, T. I. A., Metz, S., & Kilpeläinen, T. O. (2022) · Diabetologia · doi:10.1007/s00125-021-05639-5 · Cited by 43 · see citing works
Rosinger, A. Y., Tanner, S. N., & Leonard, W. R. (2013) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.05.022 · Cited by 42 · see citing works
- Authors
- Schulz, L. O., Bennett, P. H., Ravussin, E., Kidd, J. R., Kidd, K. K., Esparza, J., & Valencia, M. E.
- Affiliations
- University of Wisconsin–Milwaukee (US)
- National Institutes of Health (US)
- Pennington Biomedical Research Center, Baton Rouge, Louisiana
- Yale University (US)
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut
- Centro de Investigacion en Alimentación y Desarrollo A.C., Hermosillo, Mexico
- Centro de Investigación en Alimentación y Desarrollo (MX)
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2006-08-01
- Volume
- 29
- Issue
- 8
- Pages
- 1866-1871
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2098164111
- Semantic Scholar
- f27562df093bb1339566f61b0f3a457411b4880f
- Cited by
- 420
- References
- 28
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 22 · 2023: 21 · 2022: 20 · 2021: 15 · 2020: 29 · 2019: 17 · 2018: 11 · 2017: 19 · 2016: 16 · 2015: 16 · 2014: 24 · 2013: 31 · 2012: 21
- FWCI
- 41.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (GM 57672, P01GM057672)
- National Institute of Diabetes and Digestive and Kidney Diseases (76-DK-0256, DK-49957)
- Topics
- Health Sciences › Health Professions › General Health Professions › Indigenous Health and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- type 2 diabetes, Pima Indians, diabetes prevalence, obesity, physical activity, Westernization, lifestyle modification, genetic susceptibility, Sierra Madre, diabetes prevention, Native Americans, DNA polymorphism
- MeSH terms
- Adult, Culture, Diabetes Mellitus, Type 2, Diet, Female, Humans, Indians, North American, Male, Mexico, Middle Aged, Motor Activity, Obesity, Sex Characteristics, United States, Age Distribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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