Incidence of Diabetes in American Indians of Three ... - Diabetes Care

3 downloads 3 Views 105KB Size Report
fasting plasma glucose, 2-h glucose, BMI, degree of American Indian blood, and albuminuria. ... down the rapid increase of this disease in the American Indian population, preventive programs ..... onstrates that diabetes, already an epidemic.

Epidemiology/Health Services/Psychosocial Research O R I G I N A L


Incidence of Diabetes in American Indians of Three Geographic Areas The Strong Heart Study ELISA T. LEE, PHD1 THOMAS K. WELTY, MD, MPH2 LINDA D. COWAN, PHD3 WENYU WANG, PHD1 DOROTHY A. RHOADES, MD4


OBJECTIVE — To estimate incidence rates of diabetes and associated risk factors among participants of the Strong Heart Study. RESEARCH DESIGN AND METHODS — Of the 4,549 Strong Heart Study participants examined at baseline, 3,638 returned for a similar examination after an average of 4 years. The 1985 World Health Organization criteria for diabetes were used to identify new diabetes cases. Rates of diabetes among participants who did not have diabetes at baseline examination were determined. The relationships between the incidence rates of diabetes and a number of risk factors measured at baseline examination were studied. RESULTS — Significant variables associated with the development of diabetes included triglycerides, obesity, fasting plasma glucose, insulin, and degree of American Indian blood among participants with NGT at baseline. For those with IGT at baseline, significant predictors included fasting plasma glucose, 2-h glucose, BMI, degree of American Indian blood, and albuminuria. CONCLUSIONS — The high incidence rates found in this study were alarming. To slow down the rapid increase of this disease in the American Indian population, preventive programs must be designed and implemented. Patients with IGT should be treated with diabetes medication or put on a rigid weight-reduction program to reduce the risk of progression to diabetes. Diabetes Care 25:49 –54, 2002


iabetes is a major cause of morbidity and mortality in American Indians, in whom the prevalence rates are several times higher than those in the general U.S. population. Previous reports showed that age-adjusted prevalence rates of diabetes in American Indians (aged 45–74 years) from Arizona, Oklahoma, and South/North Dakota ranged

from 38 to 72% (1). Rates were higher in women than in men. Most of the available data have been from cross-sectional studies. To obtain a thorough understanding of the etiology of diabetes, well-designed longitudinal studies are needed. Except for the longitudinal study of Pima Indians, there is a paucity of longitudinal studies and incidence data among

● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●

From the 1Center for American Indian Health Research, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma; the 2Aberdeen Area Tribal Chairmen’s Health Board, Aberdeen, South Dakota; the 3Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma; the 4University of Colorado, Denver, Colorado; the 5Cornell University Medical Center, New York, New York; 6The National Heart, Lung, and Blood Institute, Bethesda, Maryland; and the 7MedStar Research Institute, Washington, DC. Address correspondence and reprint requests to Elisa T. Lee, PhD, College of Public Health, University of Oklahoma Health Sciences Center, P. O. Box 26901, Oklahoma City, OK 73190. E-mail: [email protected] Received for publication 27 April 2001 and accepted in revised form 4 October 2001. Abbreviations: CVD, cardiovascular disease; IGT, impaired glucose tolerance; NGT, normal glucose tolerance; SHS, Strong Heart Study. A table elsewhere in this issue shows conventional and Syste`me International (SI) units and conversion factors for many substances.


American Indians; this has impeded the understanding of the cause of diabetes in this population. Moreover, existing published incidence data are difficult to compare because of the nonuniform methodologies used in sampling and ascertaining cases of diabetes. Differences in criteria used to define “American Indian” also add to the problem of comparing incidence data. The Strong Heart Study (SHS) was conducted to estimate the prevalence and incidence of cardiovascular disease (CVD) in 13 Indian communities/tribes in three geographic areas (Arizona, Oklahoma, and South/North Dakota) and to identify its risk factors. The baseline examination of the SHS was conducted between 1988 and 1991. Personal data and clinical information, including fasting glucose and 2-h glucose tolerance test, were obtained from a personal interview and physical examination. The participants were followed and a second personal interview and physical examination were conducted between 1993 and 1995. The average follow-up time between the baseline examination and the second examination was ⬃4 years. A large number of potential etiologic factors were assessed in both examinations and thus provided an excellent opportunity to investigate the etiology of diabetes as well as CVD. This paper reports the 4-year cumulative incidence rates of diabetes found at the second examination among the SHS participants. The relations of diabetes and a number of potential risk factors and markers were examined. RESEARCH DESIGN AND METHODS — The design and methods of the SHS have been described elsewhere (2). At the time of the baseline examination (1989 –1991),⬃1,500 tribal members, aged 45–74 years, were recruited from each of the three centers: Arizona (AZ), Oklahoma (OK), and South/ North Dakota (SD/ND). A personal interview was conducted to obtain demo-


Incidence of diabetes in American Indians

Table 1—Outcome of study participants at second examination

Baseline Diabetes IGT NGT Undetermined Total




Second examination undetermined


Lost to follow-up


1,514 (1,028) 198 (132) 128 (78) 48 (35) 1,888 (1,273)

46 (28) 187 (142) 256 (143) 37 (20) 526 (333)

33 (11) 147 (87) 748 (364) 59 (34) 987 (496)

45 (36) 42 (26) 115 (66) 35 (24) 237 (152)

254 (123) 47 (26) 82 (31) 30 (11) 413 (191)

206 (114) 72 (33) 183 (91) 37 (20) 498 (258)

2,098 (1,340) 693 (446) 1,512 (773) 246 (144) 4,549 (2,703)

The numbers within parentheses are the numbers of women.

graphic data, personal medical history, health habits, and family history of CVD and diabetes. A physical examination was performed, a fasting blood sample was collected for measurement of lipids, lipoproteins, apolipoproteins, insulin, glucose, and glycated hemoglobin, and a morning urine sample was collected for measurements of creatinine and albumin. The 2-h glucose tolerance test was performed only if the participant was not taking insulin or any oral hypoglycemic medication for known diabetes and if the participant had a fasting glucose value ⬍225 mg/dl as determined using Acucek II (Baxter Healthcare, Grand Prairie, TX). Participants were classified into five diabetes status groups at the baseline examination: known diabetes, new diabetes, impaired glucose tolerance (IGT), normal glucose tolerance (NGT), and diabetes status undetermined. Detailed criteria for each group have been described elsewhere (1). Criteria used for newly identified diabetes, IGT, and NGT followed the 1985 World Health Organization recommendations (3,4). In 1993–1995, the surviving participants were invited to a second personal interview and physical examination, which were similar to those of the baseline examination. Several additional procedures were added to the second examination, including an echocardiogram, a pulmonary function test, and a 24-hrecall dietary survey. The average follow-up time between the baseline and second examinations was ⬃4 years. Participants were classified as an incident cases of diabetes if they were classified at baseline examination as NGT or IGT and if they satisfied the criteria for diabetes at the second examination. The 4-year cumulative incidence was obtained by dividing the number of incident diabetes cases by the number of participants at risk for diabetes at baseline. Base50

line characteristics considered as possible risk factors include age, sex, family history of diabetes, degree of Indian blood, BMI, waist-to-hip ratio, percentage of body fat, physical activity level, hypertension status, fasting plasma glucose, 2-h glucose, HbA1c, fasting insulin, fibrinogen, total cholesterol, HDL cholesterol, LDL cholesterol, total triglyceride, albumincreatinine ratio, apoprotein A1, and apoprotein B. Statistical methods used included the ␹2 test, the Student’s t test, analysis of variance with Tukey’ s method of multiple comparison (5), and stepwise linear logistic regression methods. When a continuous variable had a skewed distribution (e.g., triglyceride), logarithmic transformation was used to stabilize the variance (6,7). A statistically significance level of 0.05 was used unless otherwise indicated. RESULTS — Of the 4,549 participants examined at baseline, 413 died during the follow-up period, 498 were lost to followup, and 3,638 (1,206 in AZ, 1,255 in OK, and 1,177 in SD/ND) returned for the sec-

ond examination (1,384 men and 2,254 women). Participants who died had significantly higher mean age (59 vs. 56 years), higher average degree of Indian blood (93.3 vs. 87.7%), higher average fasting plasma glucose (164.7 vs. 151.3 mg/dl), and higher rate of albuminuria (51 vs. 29%) but lower BMI (29.9 vs. 31.1 kg/m2) at baseline than those who participated in the second examination. Compared with the follow-up participants, those lost to follow-up had significantly lower mean log(insulin) (2.66 vs. 2.78) and BMI (30.3 vs. 31.1 kg/m2). Glucose tolerance status was determined in 3,401 (93%) of the 3,638 participants who underwent the second examination. The outcome of study participants at the second examination is summarized in Table 1. Overall, of the 1,664 participants who were free of diabetes at baseline examination and were reexamined, 326 (19.6%) developed diabetes during the 4-year follow-up period (average annual incidence rate 4.9%). Specifically, 128 (11.3%) of the 1,132 participants with NGT developed diabe-


Figure 1—Four-year cumulative incidence of diabetes by diabetes status at baseline examination: ;;;, AZ; , OK; , SD/ND; , Total. Strong Heart Study. ;;; ;;; DIABETES CARE, VOLUME 25, NUMBER 1, JANUARY 2002

Lee and Associates

Table 2—Cumulative incidence of diabetes for those who were NGT/IGT at baseline Women

NGT Obesity status (BMI) Normal, BMI ⬍25 Overweight Obese, BMI ⱖ30 P value Waist-to-hip ratio Low, ⬍0.89 (women), 0.93 (men) Medium High, ⱖ 0.95 (women), 0.98 (men) P value Fasting glucose Low, ⬍96 (women), 97 (men) Medium High, ⱖ105 (women), 106 (men) P value Insulin Low, ⬍8.89 (women), 7.32 (men) Medium High, ⱖ 14.97 (women), 14.18 (men) P value Albuminuria Absence (normal) Presence (micro ⫹ macro) P value IGT Degree of Indian blood not full blooded, ⬍ 100% full blooded, 100% P value 2-h glucose Low, ⬍153 (women), 151 (men) Medium High, ⱖ 171 (women), 169 (men) P value Insulin Low, ⬍12.32 (women), 13.3 (men) Medium High, ⱖ20.73 (women), 22.18 (men) P value HbA1c Low, ⬍5.1 (women), 5.2 (men) Medium High, ⱖ5.5 (women), 5.6 (men) P value

Case subjects



7 26 45

132 200 253

15 30 33

Men Inc. ratio

95% CI

Case subjects



Inc. ratio

95% CI

5.3% 13.0% 17.8% 0.003

1.0 2.5 3.4

1.1–5.5 1.6–7.2

6 18 26

126 241 179

4.8% 7.5% 14.5% 0.007

1.0 1.6 3.1

0.64–3.85 1.29–7.19

195 194 194

7.7% 15.5% 17.0% 0.015

1.0 2.0 2.2

1.12–3.62 1.24–3.94

8 18 24

178 184 177

4.5% 9.8% 13.6% 0.012

1.0 2.2 3.0

0.97–4.88 1.39–6.53

19 22 37

193 199 193

9.8% 11.1% 19.2% 0.013

1.0 1.1 1.9

0.63–2.01 1.16–3.26

12 14 24

185 183 179

6.5% 7.7% 13.4% 0.050

1.0 1.2 2.1

0.56–2.48 1.07–4.01

11 26 41

195 195 195

5.6% 13.3% 21.0% ⬍0.001

1.0 2.4 3.7

1.20–4.65 1.97–7.04

4 20 26

182 182 182

2.2% 11.0% 14.3% ⬍0.001

1.0 5.0 6.5

1.74–14.34 2.31–18.25

66 12

530 54

12.5% 22.2% 0.044

1.0 1.8


42 8

500 43

8.4% 18.6% 0.026

1.0 2.2


30 102

115 246

26.1% 41.5% 0.005

1.0 1.6


13 53

52 119

25.0% 44.5% 0.016

1.0 1.8


32 44 56

123 118 120

26.0% 37.3% 46.7% 0.004

1.0 1.4 1.8

0.98–2.09 1.26–2.56

10 25 31

58 56 57

17.2% 44.6% 54.4% ⬍0.001

1.0 2.6 3.2

1.37–4.89 1.71–5.82

35 38 59

120 121 120

29.2% 31.4% 49.2% 0.002

1.0 1.1 1.7

0.73–1.58 1.21–2.35

13 24 29

57 57 57

22.8% 42.1% 50.9% 0.007

1.0 1.8 2.2

1.05–3.25 1.30–3.83

33 34 58

120 98 121

27.5% 34.7% 47.9% 0.004

1.0 1.3 1.7

0.85–1.88 1.23–2.46

18 16 29

59 50 56

30.5% 32.0% 51.8% 0.035

1.0 1.0 1.7

0.60–1.83 1.07–2.69

P values from ␹2 tests.

tes (average annual incidence rate 2.8%). Among those who had IGT at baseline, 37% (198/532, average annual incidence rate 9.3%) progressed to diabetes and 27.6% (147/532, average annual rate 6.9%) reverted to NGT. During the 4 DIABETES CARE, VOLUME 25, NUMBER 1, JANUARY 2002

years, a small fraction of the participants who were initially diagnosed as having diabetes but who were not taking medication reverted to IGT (2.9%) and NGT (2.0%). Among the 46 participants who reverted to IGT, 43 were newly diagnosed

diabetes cases, and 3 were known to have diabetes at the baseline examination. Of the 33 diabetic patients who reverted to NGT, 26 were new diabetes cases diagnosed by the SHS at baseline examination, and 7 were known diabetics at 51

Incidence of diabetes in American Indians

Table 3—Significant variables associated with incidence of diabetes by sex and baseline glucose tolerance status (logistic regression) Men Variable* NGT only BMI (5 kg/m2) Ln(TG) (0.6 mg/dl) IGT only BMI (5 kg/m2) Percentage Indian blood (27%) 2-h glucose (34 mg/dl) All participants with NGT or IGT at the baseline examination IGT (yes/no) Age (5 years) Percentage Indian blood (26%) FPG (12 mg/dl) 2h glucose (35 mg/dl) Ln(insulin) (0.7 ␮U/ml) Albuminuria (yes/no)


Odds Coefficient P value ratio†

Odds Coefficient P value ratio†

95% CI†

Variablec NGT only Ln(insulin) (0.7 ␮U/ml)









0.129 0.020

0.001 0.021

1.90 1.74

1.33–2.82 1.12–2.87




0.567 ⫺0.020 0.007 0.023 0.012 0.498 0.784

0.016 0.024 0.025 0.000 0.001 0.000 0.000

1.76 0.90 1.20 1.32 1.52 1.42 2.19

IGT only FPG (12 mg/dl) 2-h glucose (34 mg/dl) 1.88–8.49 Albuminuria (yes/no)

95% CI†





0.037 0.026

0.000 0.000

1.56 2.42

1.25–1.96 1.52–3.89





1.12–2.80 0.83–0.99 1.03–1.40 1.14–1.52 1.18–1.97 1.22–1.65 1.48–3.21

*Number in parenthesis is approximately 1 SD for the distribution of the continuous variables (stratified by sex); †odds ratio and its 95% CI are derived from a change of 1 SD (the number inside the parentheses).

baseline. No substantial changes were found in BMI, percentage of body fat, or waist-to-hip ratio in these participants. The incidence rates of diabetes by center, gender, and baseline diabetes status are shown in Fig. 1. The overall 4-year incidence rate was 19.7%. In men, ⬃9% (average annual rate 2.3%) of those who had NGT developed diabetes during the 4-year period. Incidence rates were higher among women than men. The differences between centers were not statistically significant in either men or women. Among the participants who had IGT at baseline, the overall rates of conversion to diabetes were 38.6% (average annual rate 9.7%) and 36.6% (average annual rate 9.2%) in men and women, respectively. The AZ men had a higher conversion rate (52.8%) than OK and SD/ND men, but the difference was significant only between AZ and SD/ND. In women, the conversion rate from IGT to diabetes was not significantly different among the three centers. When the participants with NGT and IGT at baseline were combined, diabetes developed in 16.2% (average annual rate 4.1%) of the men and 22.2% (average annual rate 5.6%) of the women during the 4-year follow-up period. 52

Among the three centers, AZ men had significantly higher 4-year incidence rates of diabetes than OK and SD/ND men. In women, AZ had the highest 4-year incidence rate of diabetes, which was followed by SD/ND and OK. However, only the difference between AZ and OK was statistically significant. The cumulative incidence rates of diabetes among participants with NGT at baseline were significantly higher in those with higher baseline values of BMI, waistto-hip ratio, fasting glucose, and fasting insulin as well as in those with albuminuria in both men and women (Table 2). Degree of Indian blood was significantly associated with the development of diabetes only in women. In men only, percentage of body fat and total triglyceride levels were significantly positively related to the development of diabetes, whereas HDL cholesterol and apoprotein A1 were inversely related to risk. Among participants who had IGT at baseline, those with 100% Indian blood and higher 2-h glucose, fasting insulin, and HbA1c had significantly higher rates of conversion to diabetes in both men and women. Fasting glucose and albuminuria were significantly associated with conversion to dia-

betes in women only, and BMI and percentage of body fat were significantly associated with conversion to diabetes in men only. Variables included in the logistic regression analysis were age, BMI, percentage of Indian blood, fasting plasma glucose, 2-h glucose, fasting insulin, total triglyceride, and albuminuria (present or absent). These variables were chosen for the multivariate analysis because of their significance in the univariate analysis. Stepwise selection procedure was used to select those variables that were significantly associated with incident diabetes after adjusting for the other variables. The variables that were identified as significantly associated with the development of diabetes are shown in Table 3 by sex and baseline glucose tolerance status. In men, the most predictive variables for development of diabetes in participants with NGT were BMI and triglycerides. The odds ratios indicated that for every 0.6-mg/dl increase in log(triglyceride) and every 5-unit increase in BMI, the risk of developing diabetes in men increased 40 and 38%, respectively. In women with NGT, fasting insulin was the only significant variable related to the risk DIABETES CARE, VOLUME 25, NUMBER 1, JANUARY 2002

Lee and Associates

of developing diabetes. For every 0.7␮U/dl increase in ln(insulin), the risk for women to develop diabetes increased 91%. Similar results were obtained when 2-h glucose was excluded in the analysis. For men with IGT at baseline, the significant predictive variables were BMI, 2-h glucose, and percentage of Indian blood. For every 5-unit increase in BMI and every 27% increase in Indian blood, the risk of converting to diabetes increased 90 and 74%, respectively. However, for every 34-mg/dl increase in 2-h glucose, the risk increased nearly fourfold. BMI and percentage of Indian blood were the only significant variables identified by the regression method when 2-h glucose was excluded. For women with IGT, fasting glucose, 2-h glucose, and albuminuria were the most significant independent predictors. A 12-mg/dl increase in fasting glucose increased the risk of diabetes by 54%. However, the presence of albuminuria or a 34-mg/dl increase in 2-h glucose increased the risk of diabetes by 2.4-fold. When 2-h glucose was excluded in the regression analysis, fasting insulin was identified as a significant risk factor, along with fasting glucose and the presence of albuminuria. When all of the participants with NGT and IGT at baseline were combined, IGT, percentage of Indian blood, fasting glucose, 2-h glucose, fasting insulin, and presence of albuminuria were found to be positively related to the development of diabetes, and age was negatively related. Sex was not a significant variable (Table 3). CONCLUSIONS — The prevalence of diabetes has increased in the U.S., particularly in some minority populations, such as Mexican-Americans and American Indians (8,9). The high incidence rates found in the SHS further confirmed that diabetes is one of the most severe health problems in this population. Nearly all of the diabetic patients had type 2 diabetes. The incidence rates in the SHS seem to be reasonably comparable to those reported earlier in the Pima Indians (10,11) but much higher than those reported in other populations, for example, middle-aged Swedish men, MexicanAmerican and non-Hispanic whites, and Korean men and women (12–14). Similar to previous reports (15–20), individuals with IGT had a higher risk of developing diabetes than individuals with DIABETES CARE, VOLUME 25, NUMBER 1, JANUARY 2002

NGT. In reviewing results from several population based studies, Harris (16) found that rates of conversion from IGT to type 2 diabetes ranged from 1.5% per year in Bedford, U.K. to 7% in both U.S. Mexican-Americans in Colorado and Japanese-American men (17–22). The overall average annual rate of conversion from IGT to diabetes found in the SHS was an alarming 8.4% (almost 10% in men), which exceeds all of these reported conversion rates. However, compared with a South-African Indian cohort (annual rate 12.6%), our conversion rates were lower (23). Results from several longitudinal studies have shown that fasting glucose or glucose tolerance is a significant predictor of the development of diabetes (12,14,22–24). In the SHS, baseline fasting glucose was an independent predictor of diabetes after adjusting for other variables only for women with IGT. Twohour glucose levels were an independent predictor of conversion to diabetes from IGT in both men and women. Hyperinsulinemia was common among individuals in whom diabetes developed. In our study, fasting insulin, which is frequently used as a measure of insulin sensitivity, was found to be an independent predictor of diabetes risk in women with NGT. Moreover, fasting triglyceride, a reflection of insulin resistance, was predictive in men with NGT. The Whitehall Study (24) showed that high triglyceride levels were predictive of diabetes in individuals with impaired glucose tolerance. In the SHS, we found triglyceride to be an independent predictor of diabetes in men with NGT. Obesity, measured by BMI or waist-to-hip ratio, has been found to have significant predictive power in several studies (10,12,13,25). In our study, BMI was a significant independent predictor of diabetes among men with NGT or IGT at baseline. Age was found to have an inverse association with risk of diabetes. This may be because many of the older participants had died during the follow-up period and diagnosis of type 2 diabetes occurred most often in the fourth and fifth decades of life in this population (1). We also found that women with IGT and albuminuria had a nearly threefold increased risk of developing diabetes than those without albuminuria. In conclusion, this study, although limited to adults aged 45–74 years, dem-

onstrates that diabetes, already an epidemic in the Native-American population, continues to increase. The incidence rates of diabetes in this population were several times higher than in other ethnic groups. Recent data also showed that type 2 diabetes is increasingly diagnosed among children and adolescents in this population (26). Regular screening of plasma glucose, insulin, and albuminuria is necessary to ensure early detection and timely treatment. The high progression rates from IGT to diabetes were particularly alarming. A recent Finnish study (27) of individuals with IGT concluded that reducing weight and increasing physical activity could prevent type 2 diabetes. Therefore, patients with IGT should be put on a rigid weight-reduction program including diet and exercise or should be treated with diabetes medication to reduce the risk of progression to diabetes. Acknowledgments — This study was supported by Grants U01 HL-41642, U01 HL41652, and U01 HL-41654 from the National Heart, Lung and Blood Institute. We thank the 13 participating AmericanIndian tribes/communities, Indian Health Service, and participants for their support and assistance; the SHS field center coordinators Beverly Blake and Alan Crawford of SD/ND, Betty Jarvis of AZ, and Dr. Tauqeer Ali of OK; and the SHS staff for collecting the data. References 1. Lee ET, Howard BV, Savage PJ, Cowan LD, Fabsitz RR, Oopik AJ, Yeh JL, Go O, Robbins DC, Welty TK: Diabetes and impaired glucose tolerance in three American Indian populations aged 45–74 years: the Strong Heart Study. Diabetes Care 18: 599 – 610, 1995 2. Lee ET, Welty TK, Fabsitz R, Cowan LD, Le NA, Oopik AJ, Cucchiara AJ, Savage PJ, Howard BV: The Strong Heart Study, a study of cardiovascular disease in American Indians: design and methods. Am J Epidemiol 136:1141–1155, 1990 3. World Health Organization: WHO Expert Committee on Diabetes Mellitus. Second Report. Geneva, World Health Org., 1980 (Tech. Rep. Ser., no. 646) 4. World Health Organization: Diabetes Mellitus: Report of a WHO Study Group. Geneva, World Health Org., 1985 (Tech. Rep. Ser., no. 727) 5. Zar JH: Biostatistical Analysis. 2nd ed. Englewood Cliffs, NJ, Prentice-Hall, 1984 6. Cox DR: Analysis of Binary Data. London, Methuen & Co., 1970 7. Lee ET: Statistical Methods for Survival


Incidence of diabetes in American Indians

Data Analysis. New York, Wiley, 1992 8. Harris MI, Flegal KM, Cowie CC, Eberhardt MS, Goldstein DE, Little RR, Wiedmeyer HM, Byrd-Holt DD: Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in U.S. adults: the Third National Health and Nutrition Examination Survey, 1988 –1994. Diabetes Care 21:518 –525, 1998 9. Burke JP, Williams K, Gaskill SP, Hazuda HP, Haffner SM, Stern MP: Rapid rise in the incidence of type 2 diabetes from 1987–1996: results from the San Antonio Heart Study. Arch Intern Med 159:1450 – 1455, 1999 10. Knowler WC, Saad MF, Pettitt DJ, Nelson RG, Bennett PH: Determinants of diabetes mellitus in the Pima Indians. Diabetes Care 16 (Suppl. 1):216 –227, 1993 11. Knowler WC, Pettitt DJ, Saad MF, Bennett PH: Incidence, risk factors and pathogenesis. Diabetes Metab Rev 6:1–27, 1990 12. Eriksson KF, Lindgarde F: Poor physical fitness and impaired early insulin response, but late hyperinsulinaemia, as predictor of NIDDM in middle-aged Swedish men. Diabetologia 39:573–579, 1966 13. Morales PA, Mitchell BD, Valdez RA, Hazuda HP, Stern MP, Haffner SM: Incidence of NIDDM and impaired glucose tolerance in hypertensive subjects: the San Antonio Heart Study. Diabetes 42:154 –161, 1993 14. Shin CS, Lee HK, Koh CS, Kim YI, Shin YS, Yoo KY, Paik HY, Park YS, Yang BG:



16. 17.





Risk factors for the development of NIDDM in Yonchon County, Korea. Diabetes Care 20:1842–1846, 1997 Shaw JE, Zimmet PZ, De Courten M, Dowse GK, Chitson P, Gareebo H, Hemruj F, Fareed D, Tuomilehto J, Alberti KG: Impaired fasting glucose or impaired glucose tolerance: what best predict future diabetes in Mauritius? Diabetes Care 22: 399 – 402, 1999 Harris MI: Impaired glucose tolerance: prevalence and conversion to NIDDM. Diabet Med 13:S9 –S11, 1996 Keen H, Jarrett RJ, McCartney P: The tenyear follow-up of the Bedford survey (1962–1972): glucose tolerance and diabetes. Diabetologia 22:73–78, 1982 King H, Rewers M, WHO Ad Hoc Diabetes Reporting Group: Global estimates for prevalence of diabetes mellitus and impaired glucose tolerance in adults. Diabetes Care 16:157–177, 1993 Dowse GK, Zimmet PA, Finch CF, Collins VR: Decline in incidence of epidemic glucose intolerance in Nauruans: implications for the ‘thrifty genotype’. Am J Epidemiol 133:1093–1104, 1991 Sicree RA, Zimmett PZ, King HOM, Coventry JS: Plasma insulin response among Nauruans, prediction of deterioration in glucose tolerance over 6 years. Diabetes 36:179 –186, 1987 Little RR, England JD, Wiedmeyer HM, Madsen RW, Pettitt DJ, Knowler WC, Goldstein DE: Glycated haemoglobin pre-

22. 23.





dicts progression to diabetes mellitus in Pima Indians with impaired glucose tolerance. Diabetologia 37:252–256, 1994 Harris MI: Impaired glucose tolerance in theU.S.population.DiabetesCare12:464 – 474, 1989 Motala AA, Omar MAK, Gouws E: High risk of progression to NIDDM in SouthAfrica Indians with impaired glucose tolerance. Diabetes 42:556 –563, 1993 Jarrett RJ, Keen H, McCartney P: The Whitehall Study: ten-year follow-up report on men with impaired glucose tolerance with reference to worsening to diabetes and predictors of death. Diabet Med 1:279 –283, 1984 Chan JM, Rimm EB, Colditz GA, Stampfer MJ, Willett WC: Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Diabetes Care 17:961– 969, 1994 Dabelea D, Pettitt DJ, Hanson RL, Imeratore G, Bennett PH, Knowler WC: Birth weight, type 2 diabetes, and insulin resistance in Pima Indian children and young adults. Diabetes Care 22:944 –950, 1999 Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, Keinanen-Kiukoanniemi S, Laakso M, Louheranta A, Rastas M, Salmenen V, Uusitupa M, Finnish Diabetes Prevention Study Group: Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 344:1343–1350, 2001


Suggest Documents