The association of adiponectin and low-grade inflammation with the course of metabolic syndrome.

BACKGROUND AND AIMS: Metabolic syndrome (MetS) is associated with low-grade inflammation. The connections of adiponectin and inflammatory cytokines with the course of MetS are not well-known. The aim of this study was to investigate the relation of adiponectin and low-grade inflammation with the development or resolution of MetS. METHODS AND RESULTS: In the town of Pieksämäki, Finland, five complete age groups (n = 1.294) were invited for health check-ups in 1997-1998 for the first time and in 2003-2004 for the second time. The final study population included 284 men and 396 women. MetS was defined according to the National Cholesterol Education Program criteria in the beginning and at the end of the 6-year research period, and adiponectin, high-sensitivity C-reactive protein (hs-CRP), interleukin-1 receptor antagonist (IL-1Ra) and interleukin-1 beta (IL-1ß) levels were determined from baseline samples. Both male and female study subjects were divided into four groups according to the diagnosis of MetS in the two check-ups: not diagnosed at either check-up (No MetS), diagnosed only at the second check-up (Incident MetS), diagnosed only at the first check-up (Resolute MetS), and diagnosed at both check-ups (Persistent MetS). Baseline adiponectin, IL-1Ra and IL-1ß levels and IL-1ß/IL-1Ra -ratio were found to predict Incident MetS, when adjusted for the change in BMI, age, smoking status and physical activity. Our data also suggested that a high adiponectin level and low hs-CRP and IL-1Ra levels predict the resolution of MetS. CONCLUSION: Adiponectin and inflammatory markers can predict the course of MetS.

Ageing and associations of fasting plasma glucose and 2 h plasma glucose with HbA(1C) in apparently healthy population. "FIN-D2D" study.

OBJECTIVE: In this FIN-D2D cross-sectional survey the relationship of age with HbA(1c) and fasting and 2h glucose in the oral glucose tolerance test (OGTT) was explored in apparently randomly selected healthy population. PATIENTS AND METHODS: The glycaemic parameters were measured in 1344 men and 1482 women (aged 45-74 years), and among them we excluded all subjects with known diabetes, hypertension or dyslipidaemia. The final analyses for HbA(1c) and the ratios of fasting glucose/HbA(1c) and 2h glucose/HbA(1c) included 649 men and 804 women. RESULTS: Mean age was 57 years and BMI 26.1kg/m(2) for both genders. HbA(1c) increased in both genders with age (p<0.001). For a particular fasting glucose level HbA(1c) level was higher in older age groups (p<0.001 for linearity). By contrast, a particular 2h plasma glucose value in OGTT implied significantly lower HbA(1c) in the elderly (p<0.001 for linearity). CONCLUSION: In apparently healthy population, screened with OGTT, in older individuals compared with younger ones a particular HbA(1c) value implies slightly lower fasting glucose, but relatively higher 2h glucose. These results need to be verified in different populations. The effects of age on relation between HbA(1c) and plasma glucose should be taken into account in classifying people into different dysglycaemia categories.

Relative weight gain and obesity as a child predict metabolic syndrome as an adult.

OBJECTIVE: To examine whether birth weight, weight gain from birth to the age of seven or body-mass index at the age of seven have any association with metabolic syndrome as an adult. DESIGN: A population study. SUBJECTS: 210 men and 218 women out of a total 712 subjects aged 36, 41 or 46 years in Pieksämäki town, Finland. MAIN OUTCOME MEASURES: Weight at birth and weight and height at the age of seven and metabolic syndrome defined as a clustering of hypertension, dyslipidemia (hypertriglyceridaemia or low high-density-lipoprotein cholesterol), and insulin resistance (inferred by abnormal glucose tolerance or hyperinsulinaemia). RESULTS: No association was found between birth weight and the metabolic syndrome as an adult. Among obese children at the age of seven (body-mass index in the highest quartile), the odds ratio (OR) for the metabolic syndrome in adulthood was 4.4 (95% CI 2.1-9.5) as compared to the other children (the three other quartiles combined). After adjustment for age, sex and current obesity, the risk of the syndrome still was 2.4 (95% CI 2.1-9.5). CONCLUSION: We could not replicate the close association between low birth weight and the metabolic syndrome in adulthood as has been shown in some earlier studies. Obesity at the age of seven predicts the metabolic syndrome in adulthood.

Hyperinsulinaemia in hypertensive subjects: validity of a test for the detection of insulin resistance in clinical practice.

OBJECTIVES: To determine the prevalence of hyperinsulinaemia in non-diabetic hypertensive subjects and to investigate the validity of a simple test for the detection of insulin resistance/hyperinsulinaemia. The test consisted of five markers: (1) obesity (body-mass index, BMI > or =30 kg/m2); (2) central adiposity (waist-to-hip ratio, WHR > or =1.00 in men and > or =0.88 in women); (3) hypertriglyceridaemia (> or =1.70 mmol/l); (4) low high-density lipoprotein (HDL) cholesterol (<1.00 mmol/l in men and <1.20 mmol/l in women); and (5) impaired glucose tolerance according to the WHO criteria. The test was defined to be positive for subjects who had simultaneously at least two of the five markers. DESIGN AND SETTING: A community-based screening programme for hypertension carried out at Pieksämäki District Health Centre, and the Community Health Centre of the City of Tampere, Finland. SUBJECTS: The 161 hypertensives who were detected by screening all subjects aged 36, 41, 46 and 51 years (n = 1148) in Pieksämäki town, and a randomly selected normotensive control group of 177 men and women aged 40 and 45 years in the City of Tampere. MAIN OUTCOME MEASURES: Hyperinsulinaemia defined by using two different cut-off points of the fasting plasma insulin (> or =13.0 mU/l and > or =18.0 mU/l). RESULTS: Hyperinsulinaemia > or =13.0 mU/l was present in 45% of hypertensive men and in 25% of hypertensive women. The sex difference was statistically significant (P < 0.01). The corresponding rates of hyperinsulinaemia > or =18.0 mU/l were 18% and 16%. The sensitivity of the test for hyperinsulinaemia > or =13.0 mU/l was 77% and specificity 73% in men, and 100% and 70% in women. The corresponding figures for hyperinsulinaemia > or =18.0 mU/l were 94% and 60% in men, and 100% and 63% in women. CONCLUSION: Our results suggest that hyperinsulinaemia/insulin resistance in hypertensives becomes identifiable by using simple measurements of BMI, WHR, serum triglycerides and HDL cholesterol as well as the oral glucose tolerance test as means.

Obesity type and clustering of insulin resistance-associated cardiovascular risk factors in middle-aged men and women.

OBJECTIVE: To examine different clusterings of the insulin resistance-associated cardiovascular risk factors with respect to different types of obesity. DESIGN: A screening programme for obesity (body mass index; BMI> or =30 kg/m2) and abdominal adiposity (waist-to-hip ratio; WHR > or = 1.00 in men and > or = 0.88 in women). SETTINGS: Pieksämäki District Health Centre and the Community Health Centre of the City of Tampere, Finland. SUBJECTS: All volunteers were either aged 36, 41, 46 or 51 y (n=1148) and living in the town of Pieksämäki, with a control population of 162 subjects in the City of Tampere. MAIN OUTCOME MEASURES: Different clusterings of: 1) hypertension (a systolic blood pressure > or = 160 mmHg and/or a diastolic blood pressure > or = 95 mmHg or concurrent drug treatment for hypertension); 2) hypertriglyceridaemia > or = 1.70 mmol/l; 3) a low level of high-density-lipoprotein (HDL) cholesterol; < 1.00 mmol/l in men, < 1.20 mmol/l in women; 4) abnormal glucose metabolism (impaired glucose tolerance or non-insulin-dependent diabetes) and 5) hyperinsulinaemia with a fasting plasma insulin > or = 13.0 mU/l. RESULTS: The prevalence of a cluster consisting of dyslipidaemia (hypertriglyceridaemia and/or low HDL-cholesterol) and insulin resistance (abnormal glucose metabolism and/or hyperinsulinaemia) was found to be 4% in the control subjects, 18% in the abdominal adipose subjects (WHR > or = 1.00 in men and > or = 0.88 in women with a BMI < 30 kg/m2), 28% in the 'pure' obese subjects (BMI> or = 30 kg/m2 with WHR < 1.00 in men and < 0.88 in women), and 46% in the central obese subjects (subjects showing both 'pure' obesity and abdominal adiposity). The prevalence rates of the other clusterings of abnormalities varied similarly according to the type of obesity. CONCLUSION: Clusterings of insulin resistance-associated abnormalities were related to the type of obesity in both middle-aged men and middle-aged women.

Effect of smoking on the prevalence of insulin resistance-associated cardiovascular risk factors among Finnish men in military service.

BACKGROUND: Obesity, central obesity, hypertension, dyslipidemia and hyperinsulinemia tend to cluster in the same individuals as a metabolic syndrome; smoking has an adverse effect on insulin resistance. The aim of our study was to examine the occurrence of clusters of insulin-resistance-associated abnormalities and the effect of smoking on this clustering in young men. METHODS: In 1995 we invited all the 1268 servicemen attending military service in the Ostrobothnian Brigade, Finland, for screening of the metabolic syndrome. The first phase consisted of an interview concerning smoking and measurements of blood pressure, weight, height, waist and hip circumferences. If diastolic pressure was > 85 mmHg, body mass index > 27 or waist-to-hip ratio > 0.98, these participants were invited to blood samples for the measurements of fasting serum lipids, plasma glucose and insulin. These results were obtained from 144 screening-positive men (120%) and from their 79(7%) randomly selected controls. RESULTS: The metabolic syndrome, defined as plasma insulin > or = 13.0 mU/l and serum triglycerides > or = 1.70 mmol/l and/or total cholesterol/high-density lipoprotein cholesterol > 5.0, was present in 10% (n = 1 4) of the screening-positive participants. None of the randomly selected controls had the metabolic syndrome. The metabolic syndrome was present in 12% (n = 11) of 93 smokers and in 2% (n = 3) of 1 28 non-smokers (P= 0.004). CONCLUSIONS: We conclude that clusters of metabolic abnormalities associated with insulin resistance are already present in young men, and that the prevalence of these clusters in smokers is sixfold compared with non-smokers.

Metabolic syndrome' in a middle-aged Finnish population.

OBJECTIVE: To investigate methods for the detection of different clusterings of the insulin-resistant abnormalities consistent with the concept of the 'metabolic syndrome' in clinical practice, and to research the occurrence of these clusters in a middle-aged Finnish population. METHODS: We studied a random sample of 207 middle-aged subjects in the city of Tampere, and all 1148 subjects of four middle-aged age groups in Pieksamaki town, in central Finland. Clusterings of the following eight markers of insulin resistance were recorded as the main outcome measures: 1) at least one first-degree relative with non-insulin-dependent diabetes (NIDDM); 2) obesity: body mass index (BMI) > or = 30 kg/m2; 3) central adiposity: waist-to-hip ratio (WHR) > or = 1.00 in men and > or = 0.88 in women; 4) hypertension: systolic blood pressure > or = 160 mmHg or diastolic blood pressure > or = 95 mmHg, or receiving drug treatment for hypertension; 5) hypertriglyceridaemia > or = 1.70 mmol/l; 6) low high-density lipoprotein (HDL) cholesterol: < 1.0 mmol/l in men and < 1.20 mmol/l in women; 7) abnormal glucose metabolism according to WHO criteria and 8) hyperinsulinaemia: fasting plasma insulin > or = 13.0 mU/l. RESULTS: The metabolic syndrome, defined as a clustering of dyslipidaemia (hypertriglyceridaemia, low HDL cholesterol, or both) and insulin resistance (abnormal glucose tolerance, hyperinsulinaemia, or both) was present in 17% of men and in 8% of women; this sex difference was statistically significant (P< .001). The syndrome was detectable with a sensitivity of 96% and a specificity of 55% by the combined four markers of insulin resistance (NIDDM in a close relative, obesity, central adiposity and hypertension). CONCLUSION: In clinical practice, the metabolic syndrome can be detected during normal clinical examination. The occurrence of the syndrome is already high by middle age.

Hyperinsulinemia and clustering of cardiovascular risk factors in middle-aged hypertensive Finnish men and women.

OBJECTIVE: To examine the relationship between hyperinsulinemia and clusters of cardiovascular risk factors in middle-aged hypertensive patients. DESIGN: A population-based study. SETTING: Pieksämäki District Health Center, and the Community health Center of the city of Tampere, in central Finland. SUBJECTS: Hypertensive men and women aged 36, 41, 46, and 51 years (n = 18) in the town of Pieksämäki, and a normotensive control population of 177 subjects aged 40 and 45 years in the city of Tampere. MAIN OUTCOME MEASURES: Clusters of obesity (body mass index > 30.0 kg/m2), abdominal adiposity (waist:hip ratio > 1.00 for men and > 0.88 for women), hypertriglyceridemia (> 1.70 mmol/l), a low level of high-density lipoprotein cholesterol (< 1.0 mmol/l in men and < 1.20 mmol/l in women) and abnormal glucose metabolism (impaired glucose tolerance or noninsulin-dependent diabetes as defined by World Health Organization criteria) according to statistical quartiles of the fasting plasma insulin concentration. RESULTS: Among the hypertensives, there was a 2.0- to 3.6-fold higher risk of having a clustering of the insulin-resistance associated cardiovascular risk factors compared with that of the normotensives. Among the hypertensive subjects in the highest quartile of fasting plasma insulin there was a six- to 12-fold increase in risk associated with having two or more insulin resistance-associated cardiovascular risk factors compared with the subjects in the lowest quartile. There was a positive correlation between a high number of ascertained risk factors and high levels of fasting plasma insulin. CONCLUSION: In clinical practice, knowledge of the close relationship between risk-factor cluster status and fasting plasma insulin levels offers a tool to evaluate the occurrence of hyperinsulinemia in middle-aged hypertensive men and women.