LDL cholesterol as a strong predictor of coronary heart disease in diabetic individuals with insulin resistance and low LDL: The Strong Heart Study.

Diabetes has been shown to increase the risk of coronary heart disease in all populations studied. However, there is a lack of information on the relative importance of diabetes-associated risk factors for cardiovascular disease (CVD), especially the role of lipid levels, because low density lipoprotein (LDL) cholesterol often is not elevated in diabetic individuals. The objective of this analysis was to evaluate CVD risk factors in a large cohort of diabetic individuals and to compare the importance of dyslipidemia (ie, elevated triglycerides and low levels of high density lipoprotein [HDL] cholesterol) and LDL cholesterol in determining CVD risk in diabetic individuals. The Strong Heart Study assesses coronary heart disease and its risk factors in American Indians in Arizona, Oklahoma, and South/North Dakota. The baseline clinical examinations (July 1989 to January 1992) consisted of a personal interview, physical examination, and drawing of blood samples for 4549 study participants (2034 with diabetes), 45 to 74 years of age. Follow-up averaged 4.8 years. Fatal and nonfatal CVD events were confirmed by standardized record review. Participants with diabetes, compared with those with normal glucose tolerance, had lower LDL cholesterol levels but significantly elevated triglyceride levels, lower HDL cholesterol levels, and smaller LDL particle size. Significant independent predictors of CVD in those with diabetes included age, albuminuria, LDL cholesterol, HDL cholesterol (inverse), fibrinogen, and percent body fat (inverse). A 10-mg/dL increase in LDL cholesterol was associated with a 12% increase in CVD risk. Thus, even at concentrations well below the National Cholesterol Education Program target of 130 mg/dL, LDL cholesterol is a strong independent predictor of coronary heart disease in individuals with diabetes, even when components of diabetic dyslipidemia are present. These results support recent recommendations for aggressive control of LDL cholesterol in diabetic individuals, with a target level of <100 mg/dL.

Rising tide of cardiovascular disease in American Indians. The Strong Heart Study.

BACKGROUND: Although cardiovascular disease (CVD) used to be rare among American Indians, Indian Health Service data suggest that CVD mortality rates vary greatly among American Indian communities and appear to be increasing. The Strong Heart Study was initiated to investigate CVD and its risk factors in American Indians in 13 communities in Arizona, Oklahoma, and South/North Dakota. METHODS AND RESULTS: A total of 4549 participants (1846 men and 2703 women 45 to 74 years old) who were seen at the baseline (1989 to 1991) examination were subjected to surveillance (average 4.2 years, 1991 to 1995), and 88% of those remaining alive underwent a second examination (1993 to 1995). The medical records of all participants were exhaustively reviewed to ascertain nonfatal cardiovascular events that occurred since the baseline examination or to definitively determine cause of death. CVD morbidity and mortality rates were higher in men than in women and were similar in the 3 geographic areas. Coronary heart disease (CHD) incidence rates among American Indian men and women were almost 2-fold higher than those in the Atherosclerosis Risk in Communities Study. Significant independent predictors of CVD in women were diabetes, age, obesity (inverse), LDL cholesterol, albuminuria, triglycerides, and hypertension. In men, diabetes, age, LDL cholesterol, albuminuria, and hypertension were independent predictors of CVD. CONCLUSIONS: At present, CHD rates in American Indians exceed rates in other US populations and may more often be fatal. Unlike other ethnic groups, American Indians appear to have an increasing incidence of CHD, possibly related to the high prevalence of diabetes. In the general US population, the rising prevalence of obesity and diabetes may reverse the decline in CVD death rates. Therefore, aggressive programs to control diabetes and its risk factors are needed.

Low fasting insulin levels in Eskimos compared to American Indians: are Eskimos less insulin resistant?

The prevalence of diabetes is relatively low among Eskimo people in contrast to that in other Native American populations. The reasons for this may be partially explained by differences in the occurrence of insulin resistance. In this report we compare fasting insulin levels, which correlate with insulin resistance, in Alaskan Eskimo subjects to those among American Indians. After adjusting for age, gender, and body mass index, and using identical laboratory methods, we found significantly lower insulin levels among Eskimo compared with Indian participants with normal glucose tolerance. Among Eskimos insulin levels increased with increasing body mass index, were higher for women than men, and did not appreciably change with age. Our data suggest that among Eskimo people insulin resistance may be less prevalent or severe than among American Indians, but that obesity is associated with increased insulin resistance. Future analyses will examine the association between insulin levels and other correlates of the insulin resistance syndrome. We hope that by further characterizing insulin resistance or sensitivity among Eskimo people, specific recommendations can be made that will lead to cardiovascular risk factor reduction.

Diabetes and impaired glucose tolerance in three Alaskan Eskimo populations. The Alaska-Siberia Project.

OBJECTIVE: The objectives of this study were to determine the prevalence of diabetes and impaired glucose tolerance (IGT) in three Alaskan Eskimo populations, using standardized diagnostic criteria, and to evaluate family history and obesity as risk factors. RESEARCH DESIGN AND METHODS: This cross-sectional study involved men and women > or = 25 years of age from three Eskimo ethnic groups (Siberian Yupik, Central Yupik, and Inupiat) residing in northwestern Alaska. Glucose tolerance status was defined by World Health Organization criteria and was based on a 75-g oral glucose tolerance test. Data on age, family history of diabetes, and degree of Eskimo ancestry were obtained from a personal interview. Obesity was assessed using BMI. RESULTS: A total of 454 of 899 (50.5%) eligible participants were examined for diabetic status (239 Siberian Yupik, 106 Central Yupik, and 109 Inupiat participants). The prevalence of diabetes was more than twice as high among the Siberian Yupik (9.6%) as among the Central Yupik (2.8%) and Inupiat participants (3.7%). Diabetes was more prevalent in women than men (8.8 vs. 4.2%). IGT was found in an additional 11.7% of the women and 4.7% of the men. The combined prevalence of diabetes and IGT in the population > or = 55 years of age was 30.4% (diabetes 12.0%, IGT 18.4%). Of the people identified with diabetes, 47% had not been previously diagnosed. Age-specific prevalences were similar to those found in U.S. whites in the National Health and Nutrition Examination Survey II. After adjustment for age, family history of diabetes was associated with diabetes in study participants with an odds ratio of 4.4, while obesity was associated with diabetes with an odds ratio of 2.6. CONCLUSIONS: These prevalences of diabetes are the highest yet reported among Eskimo populations. Obesity and family history of diabetes are associated with increased odds of developing diabetes. These data underscore the need to further examine risk factors and to design effective interventions.

Parity, postmenopausal estrogen use, and cardiovascular disease risk factors in American Indian women: the Strong Heart Study.

Studies have suggested that high parity is related to an increased risk of cardiovascular disease (CVD). Reasons for an increased risk are unclear but may include influences of child-bearing on levels of CVD risk factors. The present study examined the associations of parity and CVD risk factors in American Indian women, among whom large families are common. Estrogen use and CVD risk factors also were assessed. The study included 1982 ever-married, postmenopausal women aged 45 through 74 years who participated in the Strong Heart Study (SHS), a large study of American Indians in three geographic areas of the United States. Information was obtained during a physical examination and interview. Parity ranged from 0 to 18 (median 5). Current estrogen use varied from 5% in Arizona to 21% in Oklahoma. Multivariable analyses found a statistically significant, inverse association between parity and high-density lipoprotein (HDL) cholesterol, although the difference with increasing parity was small (-0.26 mg/dl per additional live birth). Estrogen users had significantly lower levels of low-density lipoprotein cholesterol (-6.4 mg/dl) and fibrinogen (-26.2 mg/dl) and a lower waist/hip ratio (-0.02), and higher values of HDL (5 mg/dl) and logarithm (ln) triglyceride (0.13 mg/dl). Current users were slightly more likely to be hypertensive (prevalence odds ratio, 1.56). Relations between parity and CVD risk factors in American Indian women with high parity suggested only small differences with increasing parity. Associations with estrogen use are much stronger and are similar to those observed in other groups of women.

Survival analysis in public health research.

This paper reviews the common statistical techniques employed to analyze survival data in public health research. Due to the presence of censoring, the data are not amenable to the usual method of analysis. The improvement in statistical computing and wide accessibility of personal computers led to the rapid development and popularity of nonparametric over parametric procedures. The former required less stringent conditions. But, if the assumptions for parametric methods hold, the resulting estimates have smaller standard errors and are easier to interpret. Nonparametric techniques include the Kaplan-Meier method for estimating the survival function and the Cox proportional hazards model to identify risk factors and to obtain adjusted risk ratios. In cases where the assumption of proportional hazards is not tenable, the data can be stratified and a model fitted with different baseline functions in each stratum. Parametric modeling such as the accelerated failure time model also may be used. Hazard functions for the exponential, Weibull, gamma, Gompertz, lognormal, and log-logistic distributions are described. Examples from published literature are given to illustrate the various methods. The paper is intended for public health professionals who are interested in survival data analysis.

Regional differences in albuminuria among American Indians: an epidemic of renal disease.

Albuminuria is a risk factor for renal and cardiovascular disease. We conducted a cross sectional survey of 4549 older American Indians in Arizona, Oklahoma and North and South Dakota of (micro)albuminuria. A range of 20.1 to 48.3% of all participants had either micro- (> or = 30 to < 300 mg albumin/g creatinine) or macroalbuminuria (> or = 300 mg albumin/g creatinine). A total of 53% of the participants were diabetic, and the prevalence in Arizona (65 to 70%) was significantly greater than the other two sites. Prevalence of micro- and macroalbuminuria were significantly higher among those who were older, diabetic or hypertensive, and participants from Arizona. Even normotensive, nondiabetic Arizona Indians had higher prevalence rates than similar participants elsewhere. Higher prevalence rates of micro- and macroalbuminuria were also found among Arizona participants than participants with similar degrees of glucose intolerance from the other two sites. Indians reporting the greatest degree of Indian blood were more likely to have abnormal albuminuria (P < 0.0001). The duration of diabetes, fasting plasma glucose, systolic blood pressure, fibrinogen and Indian heritage were independently associated with micro- or macroalbuminuria. The association of albuminuria with subsequent ESRD, cardiovascular morbidity and overall mortality suggests that these American Indians will face a large disease burden. The correlation with reported Indian blood implies a strong component of genetic susceptibility, possibly independent of diabetes.