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Lipoprotein (a) level in the population in Taiwan: relationship to

sociodemographic and atherosclerotic risk factors

Kuo-Liong Chien


, Yuan-Teh Lee


*, Fung-Chang Sung


, Ta-Chen Su


, Hsiu-Ching Hsu



Ruey-Shiung Lin


aDepartment of Internal Medicine, National Taiwan Uni6ersity College of Medicine, National Taiwan Uni6ersity, Taipei100, Taiwan, ROC bCollege of Public Health, National Taiwan Uni6ersity, Taipei100, Taiwan, ROC

Received 26 June 1998; received in revised form 5 September 1998; accepted 3 November 1998


To examine the lipoprotein(a) (Lp(a)) level in the Taiwanese population and its association with cardiovascular risk factors, 1703 men and 1899 women aged 35 years and above were enrolled in a community-based study cohort established between 1990 and 1991. The distributions of Lp(a) levels were skewed to the right, and females were more likely than males to have Lp(a) levels greater than 30 mg/dl (14.3% versus 11.6%, PB0.05). The Lp(a) level increased with age. Socioeconomic status did not seem to have consistent influence on the level of Lp(a). Smoking and alcohol use also had no effect on Lp(a) levels. Multivariate analysis indicated that older age and high level of low-density-lipoprotein cholesterol corresponded to an elevated Lp(a) level, while hypertriglyceridemia, low high-density-lipoprotein cholesterol level, obesity and high insulin resistance corresponded to a lower Lp(a) level. In univariate analysis, hyperinsulinemia was negatively associated with Lp(a) level ( − 0.107, PB0.01) only in males. In females, use of oral contraceptive lowered Lp(a) levels, but menopause did not change Lp(a) levels. We also found that different correlation patterns existed for selected coagulation profiles between sexes. There was a significant correlation between Lp(a) and fibrinogen levels in males (0.154, PB0.001) but not in females (0.007, P\0.05). These data provided clues for investigating atherosclerotic risk factors and coagulation parameters for the Taiwanese population. © 1999 Elsevier Science Ireland Ltd. All rights reserved.

Keywords: Lipoprotein(a); Atherosclerosis; Taiwanese; Population-based

1. Introduction

Lipoprotein(a) (Lp(a)), consisting of low density lipo-protein and apolipolipo-protein(a) with disulfide binding, has been well established as a cardiovascular risk factor [1,2]. Apolipoprotein(a) is a glycoprotein with its DNA locus on the sixth chromosome, near the plasminogen loci that has size polymorphism [3]. The structure of apolipoprotein(a) is similar to plasminogen; it can inter-fere with hemolytic functions and increase the time required for clot hemolysis by competing with the

plasminogen receptor[4]. Found in the arterial walls of patients with coronary artery disease, according to ex-perimental studies, Lp(a) can penetrate the intimal lay-ers of vessel walls to stimulate foamy-cell production and is considered a risk factor in atherogenesis and thrombosis. Along with excess serum low-density lipo-protein cholesterol (LDL-C) or other risk factors, Lp(a) may synergistically contribute to the incidence of car-diovascular disease[5].

Although Lp(a) levels have strong genetic links and are neither affected by life style nor altered by medica-tion[6], factors associated with Lp(a) concentrations and other atherosclerotic risk factors remain elusive. The Framingham offspring study demonstrated that serum Lp(a) concentration increased with age, only in * Corresponding author. Tel.: + 23959911; fax.: +


E-mail (Y.-T. Lee)

0021-9150/99/$ - see front matter © 1999 Elsevier Science Ireland Ltd. All rights reserved. PII: S 0 0 2 1 - 9 1 5 0 ( 9 8 ) 0 0 2 9 8 - 6


women [7]. Correlations with other atherosclerotic risk factors, such as sex, smoking, waist-to-hip ratio, impaired glucose tolerance, selected medications, fibrinogen levels, and blood pressure, have also been demonstrated [8 – 10]. However, most studies are hos-pital-based or employee-based [11] and limited data are available for Asian populations. Only a few stud-ies on Chinese ethnic groups are available and have provided inconsistent data on Lp(a) due to small sample size [12,13].

The Chin-Shan Community Cardiovascular Cohort (CCCC) study is a population-based prospective in-vestigation on the impact of atherosclerotic risk fac-tors in the development of cardiovascular diseases in adults 35 years of age and older. This report at-tempted to determine the Lp(a) distribution for this cohort in which a large number of demographic, car-diovascular, lipid profiles and other hemostatic parameters were available. Evaluations emphasize the correlations between these variables.

2. Materials and methods

2.1. Study design and population

The study cohort, consisting of 1703 men and 1899 women, 35 years old and above, was established in 1990 and 1991. All were recruited based on 1990 resi-dential registration files (N = 4399) in the Chin-Shan community, a suburban community 20 miles outside of metropolitan Taipei. The response rate was 82.8%. Among the non-respondents, 95 were refusals and 652 could not be reached, based on the registration, and were somewhat younger than respondents. The cur-rent report uses baseline data collected in 1990 – 1991, and ultrasound results and coagulation profiles col-lected in 1992 – 1993. The leading causes of deaths, mainly from cardiovascular disease and cancer in this community, mirror national mortality patterns in Tai-wan between 1990 and 1994 [14].

2.2. Data collection and interpretation

A clinic was set up at the Chin-Shan Community Health Center by a study team consisting of 20 senior medical students, two assistant nurses and 10 cardiol-ogists and local practitioners. Trained medical stu-dents canvassed door-to-door with the assistance of community leaders to extend invitations for the base-line survey. Information collected included sociode-mographic characteristics, lifestyle, dietary characteristics, personal and family histories of dis-eases and hospitalizations, etc. With the consent of participants, the team of physicians and students

con-ducted physical examinations and laboratory tests on those participants invited to the clinic. A 12-lead elec-trocardiography was also performed for each par-ticipant, and the result was evaluated by a cardiolo-gist.

2.3. Blood sampling and analytical methods

All venous blood samples were drawn after a 12-h overnight fast, immediately refrigerated and trans-ported to National Taiwan University Hospital within 6 h. Serum samples were then stored at − 70°C prior to batch assay of the concentrations of total choles-terol, triglyceride, LDL-C, high density lipoprotein cholesterol (HDL-C), and Lp(a) [15]. Standard enzy-matic tests for serum cholesterol and triglyceride were used (Merck 14354 and 14366, respectively). HDL-C levels were measured in supernatants after precipita-tion with magnesium chloride phosphotungstate reagents (Merck 14993). LDL-C concentrations were calculated as ‘total cholesterol minus cholesterol in the supernatant’ by the precipitation method [16], since the HDL-C was precipitated using heparin/cit-rate reagent (Merck 14992). Apolipoprotein A1 (apo A1) and apolipoprotein B (apo B) concentrations were measured by turbidimetric immunoassay using commercial kits (Sigma). Lp(a) was determined by en-zyme-linked immunosorbent assay (ELISA) (Organon) regardless of isoforms. The plasma insulin level was determined using the ELISA method in which a reagent kit supplied by Dako is employed. The plate antibody binds A-chains somewhere near the intra-chain disulphide. The conjugate antibody binds very close to the cleavage site in proinsulin and its epitope is partially composed of lysine residue at position 30 on the B-chain. Thus, the assay will not measure in-tact proinsulin, but provides specificity of the insulin assay [17].

2.4. Coagulation profile measurement

The measurements of coagulation profiles were made in the following manner: Tissue plasminogen activator (TPA) was analyzed using enzyme im-munoassay (Asserachrom tPA, Diagnostica Stago, France), and plasminogen activator inhibitor (PAI-1), Factor VII antigen, and fibrinogen were measured us-ing commercial kits. PAI-1 was measured usus-ing en-zyme immunoassay (Asserachrom PAI-1, Diagnostica Stago, France). Factor VII antigen was measured us-ing enzyme immunoassay (Asserachrom VII: Ag, Di-agnostica Stago, France). Fibrinogen was measured using clotting assay (STA-Fibrinogen, Diagnostica Stago, France). Factor VIII concentration was mea-sured using single-stage assay [18].


2.5. Diagnostic criteria

Hypertension was defined according to the criteria established by the Fifth Joint National Committee on Detection, Evaluation and Treatment of High Blood Pressure [19]. We adapted the following criteria: systolic blood pressure higher than 140 mmHg or diastolic blood pressure higher than 90 mmHg, and/or receiving anti-hypertensive medication. The presence of coronary heart disease was defined as the presence of abnormal Q or QS patterns on electrocardiograms, or clinical histories of myocardial infarction or angina pectoris, based on medical records. Stroke was defined as hemi-paresis or hemiplegia histories, and confirmed by a neurologist. Diabetes mellitus was defined as fasting blood sugar levels higher than 140 mg/dl or use of oral hypoglycemic agents or insulin injections. The 90th percentile values of body-mass indices (BMI) and waist-to-hip ratios (WHR) were considered normal for the study population. Hyperinsulinemia was defined as fasting insulin levels greater than the 90th percentile values for each gender. Mathew’s homeostasis modeling formula for insulin resistance were calculated [20]. Women older than 45 years with secondary amenorrhea for longer than 1 year were defined as in menopausal status.

2.6. Statistical analysis

We first compared the distribution pattern of serum Lp(a) concentrations by age and gender. Because of the highly right-skewed distribution of Lp(a) values, the natural logarithm of Lp(a) was used to normalize its distribution to satisfy analysis of covariance

assump-tion. Gender- and age-specific quartiles of Lp(a) values were generated from logarithmically transformed Lp(a). Age-adjusted geometric means of Lp(a) by gender were also calculated to measure the effects of lipid level, BMI, WHR and hyperinsulinemia. The total choles-terol and LDL cholescholes-terol cut-off points were accord-ing to NCEP guidelines. Both the 75th and 90th percentile cut-off points were used for the rest of the variables (Table 2). A Spearman correlation analysis was performed to measure the linear relationship be-tween covariates and L(a) values. One-way analysis of covariance with adjustment for age was employed for comparison of the mean values. When using parametric procedures, triglyceride and Lp(a) levels were trans-formed into natural logarithms. A significant difference was defined at PB0.05. Several optional multivariate analysis models were further developed using either stepwise regression or Mallows’ C(p) method to sum-marize factors contributing to the Lp(a) level [21]. Data analysis was performed using the SAS 6.11 version [22].

3. Results

The empirical distribution of serum Lp(a) levels for the study population clearly demonstrated a right skewed shape, ranging widely from 0.11 to 116.9 mg/dl in men, and from 0.11 to 129.4 mg/dl in women (data not shown). The Lp(a) values were undetectable in 1.0% of the males and 0.8% of the females. Table 1 details the gender- and age-specific distributions and the proportions of Lp(a) greater than 30 mg/dl. As age increased, the Lp(a) levels increased in both genders, peaking at 65 – 74 years of age for men (geometric mean Table 1

The distribution of lipoprotein(a) levels (mg/dl) in the study population by sex and age: the Chin-Shan Community Cardiovascular Cohort Study, 1990–1991

Geometric mean (S.D.) `30 mg/dl (%)


Sex, age Percentile

10 25 50 75 90 Male 381 12.0 (12.9) 1.3 3.3 35–44 7.1 16.3 28.8 8.9 10.1 12.7 (16.1)* 1.0 2.6 7.1 45–54 376 16.0 30.6 12.5 14.4 (16.1) 1.4 3.8 9.6 55–64 473 18.9 35.2 15.1 37.9 21.2 11.2 5.1 65–74 292 16.0 (15.3) 2.3 12.8 102 `75 15.9 (15.9) 1.9 5.4 10.3 22.1 34.3 All 1624 13.8 (15.3) 1.3 3.7 8.6 18.4 32.3 11.6a Female 12.9 13.3 (15.5) 1.5 3.7 35–44 527 8.3 17.0 33.7 498 14.1 (15.4)* 1.4 3.8 45–54 8.6 17.8 36.9 13.9 55–64 439 14.5 (15.5) 1.1 3.5 9.5 19.9 37.3 15.5 1.9 15.3 (16.0) 10.6 20.7 36.8 13.6 286 4.4 65–74 `75 109 18.1 (17.6) 2.8 6.1 12.3 24.4 43.0 19.3 1859 14.4 (15.4) All 1.5 4.0 9.1 19.1 36.2 14.3a

* PB0.05 by the unpaired t-test for males versus females in the 45–54 years age group. aDifference between each sex: 2.7%, 95% confidence interval: (0.6%, 4.9%).


Table 2

Age-adjusted geometric mean of lipoprotein(a) (mg/dl) by atherosclerotic risk factor in the study population: the Chin-Shan Community Cardiovascular Cohort Study, 1990–1991

Risk factor Men Women

S.E.M.b Number Mean S.E.M.

Number Meana Cholesterol le6el 1.04 7.11 968 B200 mg/dl 993 6.80 1.04 524 8.35* 200–240 mg/dl 405 7.96* 1.07 1.06 365 9.29*** ]240 mg/dl 223 8.52* 1.09 1.07 LDL-C le6el 806 7.22 B130 mg/dl 851 6.39 1.05 1.05 1.06 7.74 475 130–160mg/dl 379 8.00** 1.07 578 8.92** ]160 mg/dl 394 8.84*** 1.07 1.06 Body-mass indexc 1.04 854 8.26 B75th% 674 7.85 1.05 1.09 273 6.87* 1.08 ]75th% 223 5.77** 1.04 8.08 1015 B90th% 806 7.69 1.04 112 6.37 ]90th% 91 4.41*** 1.15 1.13 Waist–hip ratioc 1.04 924 7.95 B75th% 734 7.89 1.05 1.09 318 7.53 1.08 ]75th% 251 6.06** 1.04 7.85 1136 B90th% 893 7.61 1.04 1.14 106 7.73 1.14 ]90th% 92 5.43*

Fasting insulin levelc

895 8.13 B75th% 693 7.83 1.05 1.04 1.08 7.19 299 ]75th% 232 5.26*** 1.09 1074 8.11 B90th% 832 7.33 1.05 1.04 120 6.10* ]90th% 93 5.20* 1.15 1.12

Insulin resistance by HOMAc

1.04 8.26 B75th% 693 7.76 1.05 895 1.08 6.81* 298 ]75th% 232 5.40*** 1.09 1072 8.06 B90th% 832 7.37 1.05 1.04 121 6.44 ]90th% 93 4.94** 1.15 1.12 aGeometric mean.

bS.E.M., standard error of mean.

* PB0.05, compared for counterpart stratum by genders. ** PB0.01, compared for counterpart stratum by genders. *** PB0.001, compared for counterpart stratum by genders. cSex-specific 75th or 90th percentile value.

16.0 mg/dl) and 75 years of age or above for women (geometric mean 18.1 mg/dl). Generally, geometric means of Lp(a) levels were higher in females than in males, and the difference was statistically significant for the 45 – 54 age group. The proportion of individuals with 30 mg/dl Lp(a) or greater also increased as age increased and was greater in females than in males (14.3% versus 11.6%, PB0.05), with the greatest differ-ence in the oldest group(19.3% in women and 12.8% in men, PB0.05).

Analyses also attempted to distinguish age-adjusted Lp(a) levels by smoking, drinking, educational attain-ment, marital status and occupation. Decreased levels were found for male government employees, teachers and businessmen (5.80 mg/dl for white-collar workers versus 7.92 mg/dl for blue collar workers, PB0.01; data not shown).

Table 2 shows age-adjusted Lp(a) concentration dis-tributions by gender and selected atherosclerotic risk

factors. The geometric means of Lp(a) were signifi-cantly elevated for both men and women with higher levels of cholesterol, LDL-C and triglyceride or lower HDL-C level. The obese group (BMI 90th percentile) exhibited a significant lower Lp(a) level than the non-obese group, regardless of sex. This association was significant for males only when the central-obesity group was defined as having a waist-to-hip ratio at the 90th percentile or greater that had lower Lp(a) levels (5.43 mg/dl versus 7.61 mg/dl, PB0.05).

Table 2 also shows that individuals with hyperinsu-linemia had much lower Lp(a) levels than non-hyperin-sulinemics, significant for both men (5.20 mg/dl versus 7.33 mg/dl, PB0.05) and women (6.10 mg/dl versus 8.11 mg/dl). The distribution of Lp(a) was relatively unaffected by menopause and cardiovascular disorders, including hypertension, diabetes mellitus, coronary heart disease and stroke. However, women taking oral contraceptives had significantly lower age-adjusted


Table 3

Spearman correlation coefficients,g, between lipoprotein(a) levels and various lipid and obesity profiles in the study population: the Chin-Shan Community Cardiovascular Cohort study, 1990–1991

Female Male Covariates Number g Number g 1859 0.122** 1624 0.078** Age 1127 −0.065* BMI 897 −0.122** −0.063* 1224 WHR 985 0.014 1849 0.018 0.007 1617 Systolic blood


−0.045 1849

Diastolic blood pres- 1617 −0.034 sure 1857 0.131** 0.104** 1621 Cholesterol −0.120** 1857 Triglyceride 1620 −0.090** 0.038 1844 HDL-C 1599 0.045 0.123** 1837 0.117** 1596 LDL-C 1350 0.025 Apo A1 1064 −0.049 −0.014 1350 Apo B 1063 −0.002 * PB0.05. ** PB0.001. Table 5

Multivariate model by Mallows’ C(p) criteria of variable selection S.E. b P value Covariatea 0.042 Intercept 2.071 0.0001 0.164 0.081 Age (65–74 vs. 35–44) 0.0427 TG (`200 mg/dl vs. B200 mg/ −0.349 0.092 0.0002 dl) HDL (B35 mg/dl vs. `35 mg/ −0.166 0.081 0.0403 dl) 0.0001 LDL (`160 mg/dl vs. B160 mg/ 0.310 0.066 dl) 0.029 0.074 −0.162 BMI (`75th percentile vs. B 75th percentile) 0.0141 0.074 HOMA (`75th percentile vs. B −0.182 75th percentile) Intercept 2.039 0.040 0.0001 0.168 Age (65–74 vs. 35–44) 0.081 0.0373 0.0001 −0.365 TG (`200 mg/dl vs. B200 mg/ 0.092 dl) HDL (B35 mg/dl vs. `35 mg/ −0.188 0.080 0.0194 dl) 0.300 0.066 0.0001 LDL (`160 mg/dl vs. B160 mg/ dl) 0.100 BMI (`90th percentile vs. B −0.296 0.0032 90th percentile) 0.1311 0.101 HOM (`90th percentile vs. B −0.152 90th percentile)

aCovariates are: sex, age (45–54 years old versus 35–44 years old), age (55–64 years old versus 35–44 years old), age (64–74 years old versus 35–44 years old), age (`75 years old versus 35–44 years old), hypercholesterolemia, hypertriglyceridemia, low HDL-C, high LDL-C, obesity, high WHR, diabetes status, hypertension status, insulin resistance index by homeostatsis modelling HOMA.

Lp(a) levels than women who did not take them (4.55 mg/dl versus 7.78 mg/dl, PB0.05).

The Spearman correlations between Lp(a) and lipid profiles and other atherosclerotic risk factors are pre-sented by gender in Tables 3 and 4. For both sexes, Lp(a) had significant positive correlations with age, total cholesterol and low-density cholesterol, and sig-nificant negative correlations with body-mass index, triglycerides and plasminogen activator inhibitors

(Table 3). Lp(a) was negatively associated with apo A1 and apo B levels, but was not significant. We also found significant negative relationships between Lp(a) and serum insulin profiles, fasting glucose, TPA and PAI-1 for men, and PAI-1 for women (Table 4). The Lp(a) level was significantly correlated with fibrinogen (0.154, PB0.001) among males only.

The multivariate model obtained from Mallows’ C(p) showed that factors significantly associated with the Lp(a) level included older age groups, triglyceride (200 mg/dl versus B200 mg/dl), HDL-C (B35 mg/dl versus 35 mg/dl), LDL(160 mg/dl versus B160 mg/dl) and high BMI (Table 5). Triglyceride and LDL were the most significant influential factors. Hyperinsulinemia influence would become significant if the cut-off for this variable was set at the 75th percentile in this model.

4. Discussion

The Lp(a) and other blood-chemistry measured for 3602 native Taiwanese men and women in the popula-tion-based study provided a unique opportunity to observe how Lp(a) is associated with other atheroscle-Table 4

Spearman correlation coefficients between lipoprotein(a) levels and various atherosclerotic risk-factor profiles in the study population: the Chin-Shan Community Cardiovascular Cohort study in Taiwan, 1990–1991 Female Covariatesa Male Number g g Number 1194 −0.047 925 AC insulin − 0.140*** −0.037 PC insulin 897 −0.099** 1154 −0.019 −0.107** AC glucose (mg/dl) 933 1195 FVII antigen 1004 −0.000 1171 −0.009 1169 0.033 0.004 1006 FVIII −0.043 TPA 1006 −0.065* 1171 1006 −0.093** PAI 1171 −0.075** 0.007 1171 1006 0.154*** Fibrinogen

aAC, fasting; PC, 2 h post 75 g glucose intake; FVII, factor VII; FVIII, factor VIII; TPA, tissue plasminogen activator; PAI-1, plasmi-nogen activator inhibitor.

* PB0.05. ** PB0.01. *** PB0.001.


rotic risk factors in this Chinese population. The distri-bution of Lp(a) was skewed to the right, similar to that found for Caucasians [1,7], higher in females than in males, and positively correlated with age. The range of Lp(a) levels for this study population seemed similar to that for the Framingham offspring [7], and significantly lower than that for Japanese and black populations [23,24].

A limited number of studies have reported the me-dian values of Lp(a) for other Chinese ethnic groups, ranging from 7.0 mg/dl for Chinese in Singapore to 25.0 mg/dl for Chinese in Hong Kong [3,12]. However, those measures were based on small sample sizes be-tween 30 and 304. To our knowledge, this study was the largest study based on a healthy Chinese commu-nity, and based on a large-scale population.

The relationships between Lp(a) and other atherosclerotic risk factors vary among studies [7,8,23 – 27]. Studies based on the Japanese population have demonstrated significant correlations between Lp(a) and cholesterol and LDL-C levels[23,25]. We did ob-serve striking differences in Lp(a) distributions by lipid profiles; the average Lp(a) levels were elevated for individuals with hypercholesterolemia and high LDL-C levels in both genders. However, several studies report a negative correlation between levels of Lp(a) and triglyc-eride [7,23,28 – 30]. Since hypercholesterolemia, high LDL-C, low HDL-C and/or hypertriglyceridemia have been considered important atherosclerotic risk factors, much of the relationship between Lp(a) and these lipid profiles remains to be understood, particularly concern-ing the control of Lp(a) metabolism and its role in atherosclerosis. The negative correlation between Lp(a) and triglyceride levels and the positive correlation be-tween Lp(a) and LDL-C levels are puzzling and deserve further investigation.

Because of common metabolic pathways for insulin resistance syndrome, including hypertriglyceridemia, low HDL-C, and obesity, we observed a strong nega-tive correlation between Lp(a) and insulin, glucose and insulin-related metabolic factors. Regardless of whether hyperinsulinemia was defined as above the 75th percen-tile or the 90th percenpercen-tile of fasting insulin levels for the population, the average Lp(a) was significantly lower in hyperinsulinemic males than in non-hyperinsulinemic males. A similar pattern was observed for females, but not as significantly as that for males. The Lp(a) level and obesity also exhibited a similar gender-specific pat-tern. This finding may explain the gender difference in the pathogenesis of atherogenesis as noted in other studies [31,32] and may imply that some complex mech-anisms associating Lp(a) with insulin resistance syn-drome deserve further investigation.

In our studies, blood pressure levels and the presence of hypertension, diabetes mellitus, coronary heart dis-ease and stroke status did not have significant

correla-tions with Lp(a) levels. Other studies suggest coronary artery disease events are related to excess Lp(a) levels [33 – 35], but definitive causation is unproved, and may be due to population-specific characteristics.

The Lp(a) level may be elevated for women in the menopause and lowered for those with oral estrogen. The menopausal association was not as significant in the Framingham Offspring study and the Japanese study [7,23], but was significant in the Northern Sweden MONICA study [8]. In our study, menopausal status had no influence on Lp(a) levels. However, women who took oral contraceptives may have been younger and, therefore, had significantly lowered age-adjusted Lp(a) levels than women who did not use oral contraceptives. Similar results were also reported by Lobo et al. [36]. In the coagulation profiles study, we found that in males, the Lp(a) level was closely correlated with fibrinogen levels, but inversely correlated with TPA and PAI-1. In females, only PAI-1 levels were inversely significantly correlated with Lp(a) levels. Lp(a) is pre-sumed to be a dual risk factor for both atherogenesis and thrombosis, and may play different roles in males and females. Other studies reported significant associa-tions between Lp(a) levels and fibrinogen levels in females rather than in males [23,37,38]. In this study, a significant association between Lp(a) and fibrinogen level was found for males only. This gender discrepancy may underscore the pathogenesis of Lp(a) thrombosis in different sexes.

In conclusion, this community-based population study showed that Lp(a) levels were: (i) higher in women than in men; (ii) positively associated with atherosclerotic risk factors such as LDL-C, and nega-tively associated with HDL-C and triglyceride; and (iii) positively associated with selected coagulation profiles such as fibrinogen, and negatively associated with TPA and PAI. Lp(a) levels had no strong association with coronary heart disease, stroke, hypertension, and dia-betes mellitus. However, individuals with the insulin resistance syndrome, including those with high triglyce-ride, low HDL-C, obesity and high insulin levels, levels tended to have lowered Lp(a) level. These relationships in Lp(a) atherosclerosis and thrombosis pathogenesis should be explored further, using longitudinal data that will be available from our Chin-Shan cohort in the next few years.


We thank cardiologists at National Taiwan Univer-sity Hospital, Yu-Jenn Huang and Ching-Chu Chien for their assistance in this study. The study was partly supported by the Department of Health (Grant c DOH82-TD-068) and National Scientific Council (Grant c NSC 83-0412-B002-064).



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