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1.
Diabetes Care ; 24(9): 1629-33, 2001 Sep.
Article in English | MEDLINE | ID: mdl-11522711

ABSTRACT

OBJECTIVE: To investigate whether cardiovascular risk factors cluster with hyperinsulinemia in elderly type 2 diabetic subjects and, if so, whether this clustering predicts coronary heart disease (CHD) events during a 7-year follow-up. RESEARCH DESIGN AND METHODS: Clustering of cardiovascular risk factors was analyzed by factor analysis. Cox regression models were used to investigate whether these clusters (factors) predict CHD events (CHD death or nonfatal myocardial infarction) during a 7-year follow-up in 229 type 2 diabetic subjects aged 65-74 years. RESULTS: There were 70 CHD events (21 in men and 49 in women) during the follow-up period. In diabetic men, components of the insulin resistance syndrome (IRS) loaded on Factor 1 (the insulin resistance factor), which reflected high fasting insulin, obesity (high BMI), central obesity (high waist-to-hip ratio), high total triglycerides, and a short duration of diabetes. Only this IRS factor predicted CHD events in multivariate Cox regression analysis (hazard ratio [HR] 1.71, 95% CI 1.08-2.71, P = 0.022). In diabetic women, components of IRS loaded on two factors, none of which predicted CHD events. In women, only Factor 4, characterized by advanced age, left ventricular hypertrophy on electrocardiogram, high alcohol consumption, high systolic blood pressure, and albuminuria, predicted CHD events in multivariate Cox regression analysis (1.34, 1.03-1.74, P = 0.03). CONCLUSIONS: IRS is a risk factor for CHD in elderly type 2 diabetic men.


Subject(s)
Coronary Disease/epidemiology , Diabetes Mellitus, Type 2/physiopathology , Insulin Resistance/physiology , Aged , Alcohol Drinking , Blood Glucose/metabolism , Blood Pressure , Body Mass Index , Chest Pain/epidemiology , Cholesterol/blood , Cholesterol, HDL/blood , Cohort Studies , Coronary Disease/physiopathology , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/complications , Diabetic Angiopathies/epidemiology , Diabetic Angiopathies/physiopathology , Electrocardiography , Female , Follow-Up Studies , Humans , Hypertension/epidemiology , Insulin/blood , Longitudinal Studies , Male , Proportional Hazards Models , Regression Analysis , Risk Factors , Sex Characteristics , Smoking , Surveys and Questionnaires , Time Factors
2.
Neuroepidemiology ; 19(6): 327-32, 2000.
Article in English | MEDLINE | ID: mdl-11060507

ABSTRACT

Apolipoprotein E4 (ApoE4) phenotype is a known risk factor for development of Alzheimer's disease (AD). Contradictory results exist concerning the role of ApoE4 in the rate of decline and mortality in AD. Conflicting findings have also been reported about ApoE and gender interactions with respect to survival. We examined the survival of subjects with AD and non-AD controls with respect to ApoE phenotype and gender in a population-based longitudinal study. Cognitive evaluation was performed for a total of 980 subjects (then aged 69-78 years), and 48 cases with AD were identified. ApoE4 phenotype was more frequently present among subjects with AD. In the whole study population, survival was not related to the presence of AD or ApoE4 phenotype. Risk of death was increased for men compared to women, independently of the ApoE4 phenotype (HR 0.5, 95% confidence interval 0.44-0.69). In subjects with AD, the presence of ApoE4 alone did not influence survival. However, in the AD group, ApoE4-negative men had significantly increased risk of mortality compared to the risk in ApoE4-negative women (p < 0.01). We conclude that the presence of ApoE4 phenotype or AD did not influence mortality in the aged population. Once AD had become manifest, ApoE4 alone did not relate to survival. However, in subjects with AD not carrying ApoE4, men had reduced survival compared to women.


Subject(s)
Alzheimer Disease/genetics , Apolipoproteins E/genetics , Population Surveillance , Aged , Alzheimer Disease/mortality , Catchment Area, Health , Cognition Disorders/diagnosis , Cohort Studies , Female , Finland/epidemiology , Follow-Up Studies , Humans , Male , Neuropsychological Tests , Survival Rate
3.
Circulation ; 100(2): 123-8, 1999 Jul 13.
Article in English | MEDLINE | ID: mdl-10402440

ABSTRACT

BACKGROUND: The role of a cluster of risk factors characteristic for the insulin resistance syndrome as a predictor for coronary heart disease (CHD) has not been studied previously. METHODS AND RESULTS: Clustering of cardiovascular risk factors was analyzed by factor analysis to investigate whether these clusters (factors) predict CHD events (CHD death or nonfatal myocardial infarction) in a nondiabetic population of 1069 subjects 65 to 74 years old from eastern Finland followed up for 7 years. There were 151 CHD events (92 for men, 59 for women) during the follow-up period. In men, factor 1 (the insulin resistance factor, which reflected primarily body mass index, waist-to-hip ratio, triglycerides, fasting plasma glucose, and insulin) (hazards ratio [HR] with 95% CI, 1.33, CI 1.08, 1.65, P=0.008), factor 2 (alcohol consumption, high HDL cholesterol, low triglycerides) (HR 0.78, CI 0.63, 0.96, P=0.020), factor 3 (age, systolic blood pressure, urinary albumin/creatinine ratio, left ventricular hypertrophy) (HR 1.52, CI 1.26, 1.83, P<0.001), and factor 4 (high total cholesterol and triglycerides) (HR 1.42, CI 1. 15, 1.77, P=0.002) predicted CHD events in multivariate Cox regression analysis. In women, the insulin resistance factor did not predict CHD events (HR 1.06, CI 0.82, 1.36), but factor 2 (previous stroke, low HDL cholesterol and high triglycerides) (HR 1.34, CI 1. 06, 1.69, P=0.014) and factor 3 (age, systolic blood pressure, urinary albumin/creatinine ratio, left ventricular hypertrophy) (HR 1.44, CI 1.15, 1.82, P=0.002) predicted CHD events. CONCLUSIONS: Our study supports the notion that the insulin resistance syndrome is a risk factor for CHD in elderly men.


Subject(s)
Aging/physiology , Coronary Disease/etiology , Insulin Resistance/physiology , Aged , Coronary Disease/mortality , Factor Analysis, Statistical , Female , Forecasting , Humans , Male , Multivariate Analysis , Myocardial Infarction/etiology , Risk Factors , Syndrome
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