Donate Help Contact The AHA Sign In Home
American Heart Association
Arteriosclerosis, Thrombosis, and Vascular Biology
Search: search_blue_button Advanced Search
Arteriosclerosis, Thrombosis, and Vascular Biology. 1996;16:269-274

This Article
Right arrow Abstract Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kario, K.
Right arrow Articles by Shimada, K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kario, K.
Right arrow Articles by Shimada, K.
(Arteriosclerosis, Thrombosis, and Vascular Biology. 1996;16:269-274.)
© 1996 American Heart Association, Inc.


Articles

Characteristics of the Insulin Resistance Syndrome in a Japanese Population

The Jichi Medical School Cohort Study

Kazuomi Kario; Naoki Nago; Kazunori Kayaba; Tomohiro Saegusa; Hitoshi Matsuo; Tadao Goto; Akizumi Tsutsumi; Shizukiyo Ishikawa; Toshio Kuroda; Takeshi Miyamoto; Takefumi Matsuo; Kazuyuki Shimada; on behalf of the Jichi Medical School Cohort Study Group

From the Department of Internal Medicine, Awaji-Hokudan Public Clinic (K. Kario) and Hyogo Prefectural Awaji Hospital (K. Kario, T. Matsuo), Hyogo, Japan; Department of Community and Family Medicine (N.N., K. Kayaba) and Department of Cardiology (T.K., K.S.), Jichi Medical School, Tochigi, Japan; Department of Internal Medicine, Sakuma Hospital (T.S.), Shizuoka, Japan; Department of Internal Medicine, Takasu National Health Insurance Clinic (H.M.), Gifu, Japan; Department of Internal Medicine, Wara National Health Insurance Hospital (T.G.), Gifu, Japan; Department of Internal Medicine, Akaike Hospital (A.T., S.I.), Fukuoka, Japan; and Department of Internal Medicine, Reihoku Central Hospital (T. Miyamoto), Kohchi, Japan.

Correspondence to Dr Kazuomi Kario, 480 Ikuha, Hokudan, Tsuna, Hyogo, 656-16, Japan.


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowAppendix
down arrowReferences
 
Abstract We investigated the relationships between hyperinsulinemia (a major indicator of the insulin resistance syndrome), blood pressure, dyslipidemia, and coagulation factors in 2606 community-dwelling Japanese individuals as part of the Jichi Medical School Cohort Study. An age-related decrease of the fasting insulin level was found in men but not in women. Body mass index, systolic and diastolic blood pressure, triglyceride and fasting glucose levels, and factor VII activity all increased in both sexes as the insulin level became higher, while the HDL cholesterol level decreased. In addition, total cholesterol and LDL cholesterol levels increased as the insulin level became higher and lipoprotein(a) levels decreased in the men. Fibrinogen levels were not related to the insulin level in either sex. Multiple logistic regression analysis revealed that fasting insulin levels were positively correlated with body mass index and fasting glucose and factor VII activity levels, whereas they were negatively correlated with HDL cholesterol in both sexes. In addition, fasting insulin levels were positively correlated with LDL cholesterol levels in men and with triglyceride levels in women. Our results indicate that hyperinsulinemia is associated with high factor VII activity in a general Japanese population as well as with high blood pressure and dyslipidemia. The accumulation of these cardiovascular risk factors in hyperinsulinemic subjects appears to contribute to cardiovascular events in the Japanese as well as in westerners.


Key Words: insulin resistance syndrome • Japanese • factor VII • dyslipidemia • blood pressure


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowAppendix
down arrowReferences
 
Recently, hyperinsulinemia has come to be considered an independent risk factor for cardiovascular disease,1 2 3 4 although it remains uncertain whether the cardiovascular disease is caused by confounding factors or by acceleration of atherosclerosis due to hyperinsulinemia itself. Hyperinsulinemia is often associated with hypertension, increased triglyceride levels, decreased HDL cholesterol levels, and increased levels of fibrinogen and tissue plasminogen activator inhibitor-1,5 6 7 8 9 10 11 and it precedes the development of these cardiovascular risk factors.12 The clustering of these cardiovascular risk factors on the basis of underlying insulin resistance has been proposed to constitute the "insulin resistance syndrome."5

Factor VII, a vitamin K–dependent glycoprotein, plays an important role in initiation of the tissue factor–induced coagulation pathway. An increase in factor VII activity has been proposed to be an independent risk factor for coronary artery disease.13 14 15 We recently found a close relationship between plasma factor VII levels and cardiovascular disease in elderly Japanese individuals.16 17 18 19 However, the relationship between the insulin level or insulin resistance and factor VII has not been investigated thoroughly.

Another interesting point is that the association between insulin levels and blood pressure apparently shows racial differences.20 The Japanese have a higher salt intake than western populations, and insulin promotes sodium retention,21 but the Japanese also have a lower fat intake. Thus, the relationships between insulin level, blood pressure, lipid levels, and coagulation factors may be different in Japanese and western populations. However, there have been few population-based studies on the linkage of hyperinsulinemia with cardiovascular disease risk factors in Japan, despite the many studies performed in western countries.1 2 3 4 5 6 7 8 9 10 11 12 Accordingly, we investigated the relationships between fasting insulin level, blood pressure, lipid levels, and coagulation factors in a Japanese population.


*    Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Methods
down arrowResults
down arrowDiscussion
down arrowAppendix
down arrowReferences
 
Subjects
We studied 2606 Japanese individuals (1124 men and 1482 women) aged 30 to 90 years who were participants in the Jichi Medical School (JMS) Cohort Study performed from April 1992 to November 1993. The JMS Cohort Study aims to investigate the risk factors for cardiovascular disease in Japan. Entry began in 1992, and ultimately nearly 10 000 Japanese from 12 rural communities located around Japan will have participated in the study.22 23 The subjects of the present study consisted of the residents in 5 rural communities (Wara, Takasu, Sakuma, Ohkawa, and Ainoshima) where fasting insulin levels were measured. This study was carried out with the cooperation of the local government in each community, and letters were sent to all potential subjects inviting them to participate on a voluntary basis. As a result, 1124 men and 1482 women >=30 years old were enrolled in the present study. The overall response rate for all eligible individuals was about 61% (77% for Wara, 58% for Takasu, 46% for Sakuma, 46% for Ohkawa, and 50% for Ainoshima). Of the 2606 subjects, 96 men and 83 women with fasting blood glucose level >=115 mg/dL were excluded from the present study.

Blood pressure was measured in the sitting position with an automated sphygmomanometer (BP203RV-II, Nippon Colin Co, Ltd) after subjects had rested for 5 minutes. Body mass index (BMI) was calculated as weight (kg)/height2 (m2).

Blood Collection
Blood samples were obtained before noon after an overnight fast. Blood samples were drawn from the antecubital vein of the seated subject with minimal tourniquet use. Specimens for the assay of coagulation factors (factor VII activity and fibrinogen) were collected into disposable siliconized vacuum glass tubes containing a 1/10 volume of 3.8% trisodium citrate by the two-syringe method. The specimens for glucose and lipid determinations were collected into tubes containing sodium fluoride and plain tubes, respectively. Samples were centrifuged at 3000g for 15 minutes at room temperature. After separation, the serum samples for lipids were stored at 4°C in refrigerated containers if analysis was to be performed within a few days; otherwise, the samples for insulin were frozen until analysis. Plasma samples were stored in refrigerated containers with dry ice for a maximum of 6 hours, then frozen as rapidly as possible to -80°C for storage until laboratory determinations were performed.

Assay Procedures
Serum insulin levels were determined by use of a radioimmunoassay kit (Dainabot; interassay coefficient of variation [CV], 4.5%). The lower detection limit was 2.5 µU/mL, and insulin levels below this limit were taken as 2.0 µU/mL. Factor VII activity was measured by a chromogenic assay with human placental calcified thromboplastin reagent (Chromoquick; Behringwerke), human factor VII–deficient plasma (Behringwerke), and a chromogenic assay autoanalyzer (Behring Chromotimer; interassay CV, 3.8%).24 Fibrinogen levels were determined with a one-stage clotting assay kit, Data-Fi (Dade; interassay CV, 2.5%). Serum total cholesterol and triglyceride levels were determined by use of enzyme assay kits (Wako; interassay CV, 0.65% for total cholesterol and 0.76% for triglycerides). Serum HDL cholesterol was determined by an enzymatic procedure after precipitation with phosphotungstic acid (Wako; interassay CV, 1.3%). Plasma glucose was determined with a commercial enzyme assay kit (Kanto Chemistry; interassay CV, 0.45%). Lipoprotein(a) levels were measured with an enzyme-linked immunosorbent assay kit (Biopool; interassay CV, 3.5%). The minimum detectable lipoprotein(a) level was 1 mg/dL and undetectable lipoprotein(a) values were recorded as 0.5 mg/dL.

Serum levels of insulin, total cholesterol, triglycerides, and HDL cholesterol and plasma levels of glucose and fibrinogen were determined at the central laboratory of Special Reference Laboratory (Tokyo, Japan). Plasma factor VII activity levels were assayed by a single laboratory specialist at the central laboratory of Hyogo Prefectural Awaji Hospital (Sumoto, Japan). Factor VII activity was not measured in the Sakuma population. LDL cholesterol was calculated according to the Friedewald equation.25

Statistical Analysis
Statistical analysis was performed by use of SAS statistical software (edition 6.08; SAS Institute). The distributions of fasting insulin, triglycerides, and lipoprotein(a) levels were highly skewed; these data were transformed into natural logarithms for parametric analysis. Results are expressed as the arithmetic (or geometric) mean (95% confidence interval).

First, we analyzed the effects of advancing age, sex, and BMI on fasting insulin level (Tables 1 and 2). The unpaired Student's t test was used for comparison of mean insulin values between men and women in each subgroup with the same range of age. To assess age-dependent changes of the fasting insulin level in each sex, the Scheffé's F test was used after ANOVA, and each age subgroup was compared with the group aged <40 years. To study the effect on the insulin level of BMI in addition to age, Scheffé's F test was used after ANOVA for comparison of the mean insulin values in each age subgroup, and each quartile was compared with the lowest quartile (quartile 1) (Table 2Down).


View this table:
[in this window]
[in a new window]
 
Table 2. Effect of Body Mass Index on the Fasting Plasma Insulin Level in the Jichi Medical School Cohort Study in Japan, 1992 to 1993

To study the univariate relations between insulin levels and other cardiovascular risk factors, we divided subjects into three subgroups by insulin tertiles (Tables 3 and 4). The tertile classification was used because the insulin levels of 33% (335 of 1028) of the men were <2.5 µU/mL; thus, we treated those with insulin levels below the detection limit as one group. After ANOVA, tertiles 2 and 3 were compared with the lowest tertile (tertile 1) by Scheffé's F test. For the multivariate analysis, an unconditional multiple logistic model was also used to assess the effect of each variable on the fasting insulin level (Tables 5 and 6). In this analysis, variables (LDL cholesterol and lipoprotein[a] level in women) that did not have a significant relation with insulin levels as assessed by univariate analysis were excluded.

A probability of less than.05 was taken to indicate statistical significance.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
*Results
down arrowDiscussion
down arrowAppendix
down arrowReferences
 
The histograms of the fasting insulin levels in Japanese men and women are shown in the FigureDown. Highly skewed distributions to the left were obtained in both sexes.



View larger version (24K):
[in this window]
[in a new window]
 
Figure 1. Histograms of the fasting insulin levels in Japanese men and women. Highly skewed distributions to the left were obtained in both sexes.

The effect of sex and age on the fasting insulin level is shown in Table 1Down. Fasting insulin levels tended to decrease slightly with advancing age in the men, and a significant difference was observed between the insulin level in the group aged <40 years and that in the group aged 60 to 69 years. However, this age-related pattern of change was absent in the women. The fasting insulin level was significantly higher in women aged >=50 years than in men aged >=50 years, whereas there was no significant sex-related difference in those <50 years old.


View this table:
[in this window]
[in a new window]
 
Table 1. Effect of Sex and Age on Fasting Plasma Insulin Level (µU/mL) in the Jichi Medical School Cohort Study in Japan, 1992 to 1993

Table 2Up shows the effect of BMI on the fasting insulin level in each age group of men and women. In all age groups of both sexes, BMI was positively related to the fasting insulin level.

Tables 3Down and 4Down show the cardiovascular risk factors in three equal subgroups (tertiles) of each sex defined according to the fasting insulin level. In both sexes, BMI, systolic and diastolic blood pressure, and the levels of triglycerides, fasting glucose, and factor VII activity increased along with insulin level, while HDL cholesterol decreased. In men, the total cholesterol and LDL cholesterol levels increased as the insulin level increased (Table 3Down), but the differences between subgroups were not significant for women (Table 4Down). The lipoprotein(a) level decreased significantly in men as the insulin level increased. Fibrinogen levels did not change significantly between subgroups in either sex.


View this table:
[in this window]
[in a new window]
 
Table 3. Cardiovascular Risk Factors Related to the Fasting Plasma Insulin Level in 1028 Men in the Jichi Medical School Cohort Study in Japan, 1992 to 1993


View this table:
[in this window]
[in a new window]
 
Table 4. Cardiovascular Risk Factors Related to the Fasting Plasma Insulin Level in 1399 Women in the Jichi Medical School Cohort Study in Japan, 1992 to 1993

Table 5Down shows the results of multiple logistic regression analysis of the relations between the fasting insulin level and the risk factors with significant associations listed in Tables 3Up and 4Up. The fasting insulin level was positively correlated with BMI, fasting glucose level, and factor VII activity, whereas it was negatively correlated with HDL cholesterol in both sexes. The fasting insulin level was positively correlated with the LDL cholesterol level in men and with the triglyceride level in women. We also performed the same analysis in subgroups (819 men and 1017 women) after excluding subjects who were taking antihypertensive medication, and we obtained similar results (Table 6Down).


View this table:
[in this window]
[in a new window]
 
Table 5. Multiple Logistic Regression Analysis With the Fasting Insulin Level as the Dependent Variable in 913 Men and 1188 Women in the Jichi Medical School Cohort Study in Japan, 1992 to 1993


View this table:
[in this window]
[in a new window]
 
Table 6. Multiple Logistic Regression Analysis With the Fasting Insulin Level as the Dependent Variable in 819 Men and 1017 Women Not on Antihypertensive Therapy in the Jichi Medical School Cohort Study in Japan, 1992 to 1993


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowAppendix
down arrowReferences
 
The present study was performed on a large Japanese community-dwelling population with a high response rate of eligible residents. Thus, it allows us to assess the characteristics of insulin resistance syndrome in a general Japanese population. There are conflicting lines of evidence as to the relative importance of fasting insulin level and of the 2-hour post–glucose load insulin level as a risk factor for coronary artery disease. In both the Helsinki Policemen Study1 and the Paris Prospective Study,4 both fasting and 2-hour post–glucose load insulin levels were demonstrated to be related to coronary artery disease. However, under multivariate analysis, only 2-hour post–glucose load insulin level remained of predictive value in the former study, whereas in the latter study, fasting insulin level remained an independent risk factor. In the present study, fasting insulin level was used as an indicator of insulin resistance syndrome.

The new and most interesting finding of the present study is that hyperinsulinemia is associated with an increase of factor VII activity in both sexes in a Japanese population (Tables 2Up and 3Up). Factor VII activity is known to be positively correlated with advancing age and BMI in the Japanese as well as in whites.15 16 17 18 Factor VII is also well known to have a positive correlation with serum lipids (total cholesterol and triglyceride levels) in various races.15 16 17 18 Thus, we analyzed the relation of the fasting insulin level with various parameters by use of multiple logistic regression analysis and found that the association between fasting insulin and factor VII activity was independent of age, BMI, serum lipids, and sex (Tables 5Up and 6Up). These findings suggest that an increase of factor VII activity may be another important characteristic of the insulin resistance syndrome. As an increased factor VII activity level is considered to predispose to coronary artery disease, this association may contribute to an increase of cardiovascular disease in insulin resistance syndrome.

The direct effect of insulin on factor VII activation and metabolism has not been determined. However, free fatty acids are thought to be a source of factor XII activation in vivo, and factor VII can be subsequently activated by activated factor XII.26 27 28 Free fatty acid levels and hepatic lipase activity are elevated in subjects with insulin resistance.29 30 Thus, factor VII activation mediated via the activation of factor XII by free fatty acids may explain the relationship between factor VII activity, the fasting insulin level, and insulin resistance. Another possibility is that hyperinsulinemia might increase hepatic factor VII synthesis. Previous reports have shown that fibrinogen levels are positively correlated with fasting insulin levels,7 10 although other studies did not confirm this in whites.11 31 The present study showed that fibrinogen levels were not related to hyperinsulinemia in a Japanese population.

The present study also showed that hyperinsulinemia was associated with higher systolic and diastolic blood pressures without any sex-related difference in a Japanese population (Tables 3Up and 4Up). However, this relationship was not independent of other risk factors in multiple logistic regression analysis (Table 5Up), and the result was the same when the subjects on antihypertensive therapy were excluded (Table 6Up). A meta-analysis of recent studies has shown a positive relationship between fasting insulin levels and both systolic and diastolic blood pressure in western populations,6 but racial differences in this relationship have been pointed out.20 A recent study32 also showed that hyperinsulinemia is related to hypertension in a general Japanese population. In a Chinese population, there was a positive correlation between the fasting insulin level and the systolic and diastolic blood pressure in both sexes,33 whereas multivariate analysis disclosed that the fasting insulin level was correlated with systolic pressure independently of age and BMI only in men. Thus, hyperinsulinemia is related to hypertension in Asian populations (Japanese and Chinese) as well as white populations, but some confounding factors might be involved in this association.

A large population-based analysis of the relationship between hyperinsulinemia and dyslipidemia has not previously been reported for the Japanese. The relationship of fasting insulin levels with dyslipidemia showed sex-based differences in our Japanese population (Tables 3 through 6UpUpUpUp). In both sexes, triglyceride levels increased and HDL cholesterol levels decreased as the insulin level became higher (Tables 3Up and 4Up). However, total cholesterol and LDL cholesterol levels were increased only in men with higher insulin levels compared with those with lower insulin levels (Tables 3Up and 4Up). Multiple logistic regression analysis revealed that the fasting insulin level had a positive correlation with LDL cholesterol in men and with triglycerides in women independent of other risk factors and a negative correlation with the HDL cholesterol level in both sexes (Tables 5Up and 6Up). In a study of western nondiabetic individuals, the fasting insulin level was positively correlated with triglyceride values and negatively correlated with HDL cholesterol in both sexes, but it was positively correlated with total cholesterol only in men.8 Thus, the sex-based differences in the relationship between hyperinsulinemia and dyslipidemia appear to be similar in westerners and Japanese, and a low HDL cholesterol level is the most important characteristic of this syndrome common to both sexes.

The Helsinki Policemen Study1 indicated that only the highest quintile of fasting insulin level is predictive of increased coronary artery disease incidence, whereas another study (the Paris Prospective Study4 ) observed a broader association of fasting insulin level with subsequent coronary artery disease across quintiles. In contrast, no threshold of insulin level was demonstrated in the relationships between insulin levels and other cardiovascular risk factors in Japanese of either sex in the present study (Tables 3Up and 4Up).

Finally, an unexpected negative correlation was found between insulin levels and lipoprotein(a) levels in men (Table 3Up). Sex hormones may lead to sex-based differences in the association between fasting insulin and lipid levels, but the precise mechanism involved remains unknown. Women with hyperinsulinemia who do not have a high total cholesterol level may account for the clinical evidence from a prospective study2 that hyperinsulinemia was not associated with an increase of cardiovascular events or death from cardiovascular disease in females.

In conclusion, hyperinsulinemia is associated with high factor VII activity in a general Japanese population, as well as with high blood pressure and dyslipidemia. The accumulation of these cardiovascular risk factors in hyperinsulinemic subjects appears to contribute to cardiovascular events in the Japanese as well as in westerners.


*    Acknowledgments
 
This study was supported by a grant-in-aid from the Foundation for the Development of the Community, Tochigi, Japan.


*    Appendix
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*Appendix
down arrowReferences
 
The JMS Cohort Study Group included the following individuals: Kazunori Kayaba, Masahiro Igarashi, Hiroshi Yanagawa, Atsuhiko Tsukuda, Kazuyuki Shimada, Tadashi Kawai, Takashi Natsume, Ketsumi Iijima, Masaki Nagai, Yoshihisa Itoh, Naoki Nago, Yuri Shiraishi, Ryuichi Kawamoto, Yasuyuki Fujita, Kiyomi Sakata, Kouichi Nakamura, Toshio Kuroda, Yoshihiro Shibano, Hitoshi Matsuo, Tadao Goto, Takashi Yamada, Takeshi Miyamoto, Tatsujiro Gondaira, Tomohiro Saegusa, Jun Hiraoka, Akizumi Tsutsumi, Kazuomi Kario, Mitsukazu Terada, and Sizukiyo Ishikawa.

Received June 12, 1995; accepted November 30, 1995.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
up arrowAppendix
*References
 

  1. Pyörälä K. Relationship of glucose tolerance and plasma insulin to the incidence of coronary heart disease: results from two population studies in Finland. Diabetes Care. 1979;2:131-141. [Abstract]
  2. Welborn TA, Wearne K. Coronary heart disease incidence and cardiovascular mortality in Busselton with reference to glucose and insulin concentrations. Diabetes Care. 1979;2:154-160. [Abstract]
  3. Ducimetiere P, Eschwege E, Papoz L, Richard JL, Claude JR, Rosselin G. Relationship of plasma insulin levels to the incidence of myocardial infarction and coronary heart disease mortality in a middle-aged population. Diabetologia. 1980;19:205-210. [Medline] [Order article via Infotrieve]
  4. Fontbonne A, Charles MA, Thibult N, Richard JL, Claude JR, Warnet JM, Rosselin GE, Eschwege E. Hyperinsulinaemia as a predictor of coronary heart disease mortality in healthy population: the Paris Prospective Study—15-year follow-up. Diabetologia. 1991;34:356-361. [Medline] [Order article via Infotrieve]
  5. Reaven GM. Role of insulin resistance in human disease. Diabetes. 1988;37:1595-1607. [Abstract]
  6. Denker PS, Pollock VE. Fasting serum insulin levels in essential hypertension: a meta-analysis. Arch Intern Med. 1992;152:1649-1651. [Abstract]
  7. Winocour PH, Kaluvya S, Brown L, Farrer M, Millar JP, Neil HAW, Alberti KGMM. The association of different measures of insulinaemia with vascular risk factors in healthy normoglycaemic normotensive non-obese men and women. Q J Med. 1991;79:539-560. [Abstract/Free Full Text]
  8. Winocour PH, Kaluvya S, Ramaiya K, Brown L, Millar JP, Farrer M, Neil HAW, Laker MF, Alberti KGMM. Relation between insulinemia, body mass index, and lipoprotein composition in healthy, nondiabetic men and women. Arterioscler Thromb. 1992;12:393-402. [Abstract/Free Full Text]
  9. Juhan-Vague I, Alessi MC, Vague P. Increased plasma plasminogen activator inhibitor 1 levels: a positive link between insulin-resistance and atherosclerosis. Diabetologia. 1991;34:457-462. [Medline] [Order article via Infotrieve]
  10. Juhan-Vague I, Vague P. Hyperinsulinemia and its effects of coagulation and fibrinolysis in cardiovascular disease. In: Francis RB, ed. Atherosclerotic Cardiovascular Disease, Hemostasis, and Endothelial Function. New York, NY: Marcel Dekker Inc; 1992:141-182.
  11. Negri M, Sheiban I, Arigliano PL, Tonni S, Montresor G, Carlini S, Manzato F. Interregulation between angiographic severity of coronary artery disease and plasma levels of insulin, C-peptide and plasminogen activator inhibitor-1. Am J Cardiol. 1993;72:397-401. [Medline] [Order article via Infotrieve]
  12. Haffner SM, Valdez RA, Hazuda HP, Mitchell BD, Morales PA, Stern MP. Prospective analysis of the insulin-resistance syndrome (syndrome X). Diabetes. 1992;41:715-722. [Abstract]
  13. Meade TW. The epidemiology of atheroma, thrombosis and ischaemic heart disease. In: Bloom AL, Forbes CD, Thomas DP, Tuddenham EGD, eds. Haemostasis and Thrombosis. London, England: Churchill Livingstone Inc; 1994:1199-1227.
  14. Meade TW, Mellows S, Brozovic M, Miller GJ, Chakrabarti RR, North WRS, Haines AP, Stirling Y, Imeson JD, Thompson SG. Haemostatic function and ischaemic heart disease: principal results of the Northwick Park Heart Study. Lancet. 1986;2:533-537. [Medline] [Order article via Infotrieve]
  15. Meade TW, Ruddock V, Stirling Y, Chakrabarti R, Miller GJ. Fibrinolytic activity, clotting factors, and long-term incidence of ischaemic heart disease in the Northwick Park Heart Study. Lancet. 1993;342:1076-1079. [Medline] [Order article via Infotrieve]
  16. Kario K, Matsuo T, Nakao K. Factor VII hyperactivity in the elderly. Thromb Haemost. 1991;65:25-27. [Medline] [Order article via Infotrieve]
  17. Kario K, Matsuo T. Coronary artery disease and factor VII hyperactivity in elderly Japanese. Am J Cardiol. 1992;69:807-809. [Medline] [Order article via Infotrieve]
  18. Kario K, Miyata T, Sakata T, Matsuo T, Kato H. Fluorogenic assay of activated factor VII: plasma factor VIIa levels in relation to arterial cardiovascular diseases in Japanese. Arterioscler Thromb. 1994;14:265-274. [Abstract/Free Full Text]
  19. Kario K, Matsuo T, Sakata T, Miyata T. Factor VII hyperactivity and ischaemic heart disease. Lancet. 1994;343:233.
  20. Saad MF, Lillioja S, Nyomba BL, Castillo C, Ferraro R, De Gregorio M, Ravussin E, Knowler WC, Bennett PH, Howard BV, Bogardus C. Racial differences in the relation between blood pressure and insulin resistance. N Engl J Med. 1991;324:733-739. [Abstract]
  21. DeFronzo RA, Cooke CR, Andres R, Faloona GR, Davis PJ. The effect of insulin on renal handling of sodium, potassium, calcium, and phosphate in men. J Clin Invest. 1975;55:845-855.
  22. Kario K, Matsuo T, Imiya M, Kayaba K, Kuroda T, Nago N, Matsuo H, Shimada K. Close relation between lipoprotein (a) levels and atherothrombotic disease in Japanese subjects >75 years of age. Am J Cardiol. 1994;73:1187-1190. [Medline] [Order article via Infotrieve]
  23. Nago N, Kayaba K, Hiraoka J, Matsuo H, Goto T, Kario K, Tsutsumi A, Nakamura Y, Igarashi M. Lipoprotein (a) levels in the Japanese population: influence of age and sex, and relation to atherosclerotic risk factors—the Jichi Medical School Cohort Study. Am J Epidemiol. 1995;141:815-821.[Abstract/Free Full Text]
  24. Kario K, Matsuo T, Asada R, Sakata T, Kato H, Miyata T. The strongest correlation between factor VII clotting activity using bovine thromboplastin and the activated factor VII. Thromb Haemost. 1995;73:429-434. [Medline] [Order article via Infotrieve]
  25. Friedewald WT, Levy R, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499-502. [Abstract]
  26. Mitropoulos KA, Miller GJ, Watts GF, Durrington PN. Lipolysis of triglyceride-rich lipoproteins activates coagulant factor XII: a study in familial lipoprotein-lipase deficiency. Atherosclerosis. 1992;95:119-125. [Medline] [Order article via Infotrieve]
  27. Mitropoulos KA, Esnouf MP. The autoactivation of factor XII in the presence of long-chain saturated fatty acids: a comparison with the potency of sulphatides and dextran sulphate. Thromb Haemost. 1991;66:446-452. [Medline] [Order article via Infotrieve]
  28. Mitropoulos KA, Martin JC, Burgess AI, Esnouf MP, Stirling Y, Howarth DJ, Reeves BEA. The increased rate of activation of factor XII in late pregnancy can contribute to the increased reactivity of factor VII. Thromb Haemost. 1990;63:349-355. [Medline] [Order article via Infotrieve]
  29. Reaven GM, Hollenbeck C, Jeng C-Y, Wu MS, Chen Y-DI. Measurement of plasma glucose, free fatty acid, lactate, and insulin for 24 h in patients with NIDDM. Diabetes. 1988;37:1020-1024. [Abstract]
  30. Kasim S, Tseng K, Jen K-LC, Khilnani S. Significance of hepatic triglyceride lipase activity in the regulation of serum high density lipoproteins in type II diabetes mellitus. J Clin Endocrinol Metab. 1987;65:183-187. [Abstract]
  31. Landin K, Stigendal L, Eriksson E, Krotkiewski M, Risberg B, Tengborn L, Smith U. Abdominal obesity is associated with an impaired fibrinolytic activity and elevated plasminogen activator-1. Metabolism. 1990;39:1044-1048. [Medline] [Order article via Infotrieve]
  32. Ohmori S, Kiyohara Y, Kato I, Ohmura T, Iwamoto H, Nakayama K, Nomiyama K, Yoshitake T, Ueda K, Fujishima M. Hyperinsulinemia and blood pressure in a general Japanese population: the Hisayama Study. J Hypertens. 1994;12:1191-1197. [Medline] [Order article via Infotrieve]
  33. Woo J, Cockram CS, Lau E, Chan A, Swaminathan R. Association between insulin and blood pressure in a community population with normal glucose tolerance. J Hum Hypertens. 1992;6:343-347.[Medline] [Order article via Infotrieve]



This article has been cited by other articles:


Home page
Am J EpidemiolHome page
S. Yamada, T. Gotoh, Y. Nakashima, K. Kayaba, S. Ishikawa, N. Nago, Y. Nakamura, Y. Itoh, and E. Kajii
Distribution of Serum C-Reactive Protein and Its Association with Atherosclerotic Risk Factors in a Japanese Population : Jichi Medical School Cohort Study
Am. J. Epidemiol., June 15, 2001; 153(12): 1183 - 1190.
[Abstract] [Full Text] [PDF]


Home page
Occup. Environ. Med.Home page
A Tsutsumi, K Kayaba, K Tsutsumi, and M Igarashi
Association between job strain and prevalence of hypertension: a cross sectional analysis in a Japanese working population with a wide range of occupations: the Jichi Medical School cohort study
Occup. Environ. Med., June 1, 2001; 58(6): 367 - 373.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
P. A. Sakkinen, P. Wahl, M. Cushman, M. R. Lewis, and R. P. Tracy
Clustering of Procoagulation, Inflammation, and Fibrinolysis Variables with Metabolic Factors in Insulin Resistance Syndrome
Am. J. Epidemiol., November 15, 2000; 152(10): 897 - 907.
[Abstract] [Full Text] [PDF]


Home page
Arterioscler. Thromb. Vasc. Bio.Home page
M. Pyorala, H. Miettinen, P. Halonen, M. Laakso, and K. Pyorala
Insulin Resistance Syndrome Predicts the Risk of Coronary Heart Disease and Stroke in Healthy Middle-Aged Men : The 22-Year Follow-Up Results of the Helsinki Policemen Study
Arterioscler. Thromb. Vasc. Biol., February 1, 2000; 20(2): 538 - 544.
[Abstract] [Full Text] [PDF]


Home page
Arterioscler. Thromb. Vasc. Bio.Home page
K. Kario, T. Matsuo, H. Kobayashi, R. Asada, and M. Matsuo
`Silent' Cerebral Infarction Is Associated With Hypercoagulability, Endothelial Cell Damage, and High Lp(a) Levels in Elderly Japanese
Arterioscler. Thromb. Vasc. Biol., June 1, 1996; 16(6): 734 - 741.
[Abstract] [Full Text]


This Article
Right arrow Abstract Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kario, K.
Right arrow Articles by Shimada, K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kario, K.
Right arrow Articles by Shimada, K.