The association between metabolic syndrome and asymptomatic carotid artery stenosis in menopausal women: a cross-sectional study in a Chinese population

Abstract

Background

To examine the association of metabolic syndrome (MetS) with carotid artery stenosis (CAS), especially in menopausal women in China.

Materials and methods

A cross-sectional study of menopause women aged ≥40 years were enrolled from the Jidong community of Tangshan City between 2013 and 2014 to examine the association between MetS and CAS. Logistic regression analyses were performed to analyze the association between MetS and the presence of CAS.

Results

A total of 762 menopause women with mean age 59.3±5.6 years were enrolled in our analysis. Of all the people, 111 participants in CAS group (n=159) and 297 participants in no CAS group (n=603) were diagnosed with MetS meantime. Menopausal women with MetS had increased risk of CAS (OR, 2.383; 95% CI, 1.639–3.464), and the association was further verified by adjusting for confounding factors (OR, 1.949; 95% CI, 1.269–2.994). In addition, age, physical activity (never or moderate), body mass index (>24 kg/m²), and family income (<3,000 RMB) were independent important factors to CAS development in those with MetS.

Conclusion

MetS is associated with CAS especially in women after menopause.

Keywords:

• metabolic syndrome
• carotid artery stenosis
• cross-sectional study
• Jidong community
• menopause

Introduction

Extracranial carotid artery stenosis (CAS), a common form of atherosclerotic vascular disease, is a major risk factor for vascular death, ischemic stroke, and myocardial infarction.^1,2 It is generally prevalent in the aging population and increases with age. Epidemiological studies have demonstrated that metabolic syndrome (MetS) is an independent risk factor for CAS, especially in those over 40 years old. As a major public health problem, MetS is characterized by a clustering of risk factors, including abdominal obesity, low high-density lipoprotein (HDL) cholesterol, hypertriglyceridemia, high blood pressure, and hyperglycemia.^3,4 Each of these abnormalities can lead to inflammation and fatty deposits, thus causing arterial stiffness and endothelial damage.⁵

MetS exhibits a significant increase with age, especially after menopause.^6,7 As one of the physiological stages in women’s lives, menopause causes a decline in estrogen production leading to several significant metabolic complications, such as dyslipidemia, insulin resistance, and hypertension.⁸ Gurka et al reported that menopausal women exhibit a higher prevalence of MetS as well as a higher risk of cardiovascular disease.⁹ Meanwhile, Hodis et al found that the use of estrogen and sex hormone-binding globulin can decrease the risk of subclinical atherosclerosis in postmenopausal women.¹⁰ However, few studies have focused on the relationship between MetS and asymptomatic CAS in menopausal women. Thus, our aim was to investigate this association in a cross-sectional study of a northern Chinese cohort.

Materials and methods

Design and study population

This was a community-based observational study aiming to investigate the epidemiological association of asymptomatic CAS with MetS among menopausal women in China. The study population was derived from the Jidong community, which mainly comprises of employees of the Jidong Oil Field, located in Tangshan in northern China, and their families.^11–13 The Jidong cohort included 9,078 participants, and a total of 762 postmenopausal women over 40 years old were randomly selected between July 2013 and August 2014 for this study. The inclusion and exclusion of study participants are illustrated in Figure 1. The study was performed according to the guidelines of the Helsinki Declaration, with the approval of the Ethics Committee of the Jidong Oilfield Hospital. Written informed consent forms were obtained from all participants.

Figure 1 Flow chart of the enrolled participants.

Assessment of MetS

MetS was defined as the presence of least three of the following five criteria: elevated waist circumference (≥88 cm), elevated triglycerides (≥1.7 mmol/L or ≥150 mg/dL), low HDL cholesterol (<1.29 mmol/L or <50 mg/dL), hypertension (systolic blood pressure ≥130 and/or diastolic blood pressure ≥85 mmHg), and impaired fasting glucose (≥5.5 mmol/L or ≥100 mg/dL).^14,15

Assessment of CAS

All participants underwent high-resolution B-mode ultra-sonography of their extracranial arteries. All arterials scans were performed by two independent sonographers using the iU-22 system (Philips Medical Systems, Bothell, WA, USA). The sonographers were blinded to the participants’ baseline information. CAS was defined according to the diagnostic criteria of the Radiological Society of North America.¹⁶ Briefly, stenosis was defined as peak systolic velocity (PSV) ≥125 cm/s in the presence of an atherosclerotic lesion or a maximum diameter reduction of ≥50%. Participants with PSV <125 cm/s and no signs of atherosclerotic lesions were considered to be without stenosis.¹⁷

Assessment of menopause status

All female participants were required to answer a questionnaire about their menopausal status. Postmenopausal women were defined as women who reported an absence of menstrual periods for 12 consecutive months. For women who had experienced a natural menopause, age at menopause was defined as the self-reported age at the time of the last menstruation.¹⁸ Menopause was defined as early (40–44 years), normal (45–50 years), and late (>51 years).

Statistical analyses

Statistical analyses were performed using SAS software, version 9.4 (SAS Institute, Cary, NC, USA). Descriptive analyses were used to summarize the baseline characteristics of participants based on questionnaire and biochemical results. Continuous variables were presented as mean ± SD and compared using ANOVA. Categorical variables were presented as percentages and compared using the chi-squared test. Logistic regression analyses were performed to analyze the association between MetS and the presence of CAS by calculating the ORs and 95% CIs. We adjusted for potential confounders of the risk factors for CAS in four different models: age (Model 1); age and body mass index (BMI) (Model 2); age, BMI, parity, and previous miscarriage (Model 3); age, BMI, parity, previous miscarriage, education, family income (monthly), and physical activity (Model 4). All statistical tests were two-sided, and a P-value ≤0.05 was considered to be significant.

Results

Characteristics of the study population

A total of 762 menopause women with mean age of 59.3±5.6 years were enrolled in the final analysis. The participant selection process is illustrated in Figure 1. There were 159 participants with CAS (average age, 59. 4±6.0 years) and 603 (average age, 59.3±5.6 years) without CAS. Among these, 111 participants in the CAS group and 297 in the no CAS group had concurrent MetS. All participants with CAS were asymptomatic. The basic characteristics of the cohort are shown in Table 1.

Table 1 The characteristics of the participants

Characteristics	Total, N (%)	No carotid artery stenosis, N (%)	Carotid artery stenosis, N (%)	P-value
Number, N (%)	762	603 (79.13)	159 (20.87)
Age	59.3±5.6	59.3±5.6	59.4±6.0	0.8405
Married (%)	757 (99.3)	599 (99.3)	158 (99.4)	0.9619
BMI (kg/m^2)	25.2±3.4	24.8±3.3	26.4±3.7	<0.0001
Waist circumference, cm	86.1±9.5	85.1±9.0	89.7±10.4	<0.0001
Diabetes, N (%)	103 (13.5)	76 (12.6)	27 (17.0)	0.1510
Hypertension, N (%)	378 (49.6)	291 (48.3)	87 (54.7)	0.1474
Dyslipidemia, N (%)	498 (65.4)	384 (63.7)	114 (71.7)	0.0588
SBP (mmHg)	135.8±20.7	135.0±20.1	139.1±22.6	0.0262
DBP (mmHg)	81.5±12.4	81.0±12.0	83.6±13.4	0.0179
TG (mmol/L)	1.7±1.2	1.6±1.2	1.9±1.2	0.0148
LDL-C (mmol/L)	2.8±0.6	2.8±0.6	2.9±0.6	0.3498
HDL-C (mmol/L)	1.3±0.3	1.3±0.3	1.2±0.2	<0.0001
Total cholesterol (mmol/L)	5.0±1.0	5.0±1.0	5.0±1.0	0.8131
Fasting blood glucose (mmol/L)	5.6±1.5	5.5±1.4	5.9±1.8	0.0105
Education level				0.9363
Low	135 (17.7)	108 (17.9)	27 (17.0)
Intermediate	552 (72.4)	435 (72.1)	117 (73.6)
High	75 (9.8)	60 (10.0)	15 (9.4)
Income, ¥/month, N (%)				0.6665
<¥3,000	533 (69.95)	424 (70.32)	109 (68.55)
≥¥3,000	229 (30.05)	179 (29.68)	50 (31.45)
Age of menopause (years), N (%)				0.6975
≤45	75 (9.8)	59 (9.8)	16 (10.1)
45–50	358 (47.0)	279 (46.3)	79 (49.7)
>52	329 (43.2)	265 (43.9)	64 (40.3)
Current smokers (%)	16 (2.1)	11 (1.8)	5 (3.1)	0.3016
Current drinkers (%)	22 (2.9)	17 (2.8)	5 (3.1)	0.8274
Physical activity (yes, %)				0.0056
Never or moderate	260 (34.1)	191 (31.7)	69 (43.4)
Heavy	502 (65.9)	412 (68.3)	90 (56.6)
Parity				0.1805
0 or 1	377 (49.48)	306 (50.75)	71 (44.65)
2	292 (38.32)	221 (36.65)	71 (44.65)
≥3	93 (12.20)	76 (12.60)	17 (10.69)
Miscarriage (yes, %)				0.9189
0	350 (46.4)	274 (45.9)	76 (48.1)
1	213 (28.2)	169 (28.3)	44 (27.8)
2	147 (19.5)	119 (19.9)	28 (17.7)
≥3	45 (6.0)	35 (5.9)	10 (6.3)
Metabolic syndrome disease				<0.0001
No	354 (46.5)	306 (50.7)	48 (30.2)
Yes	408 (53.5)	297 (49.3)	111 (69.8)

Notes: Data are shown as mean ± SD, or median (interquartile range), or n (%) where indicated; Compared with no carotid artery stenosis group, P<0.05 means difference was statistically significant.

Abbreviations: BMI, body mass index; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; TG, triglyceride.

A stepwise logistic regression was performed to detect any independent risk factors associated with CAS. The crude model showed that menopausal women with MetS had a greatly increased risk of CAS (OR, 2.383; 95% CI, 1.639–3.464). After adjustment for age, BMI, parity, previous miscarriage, education, family income, and physical activity, the association remained significant (OR, 1.949; 95% CI, 1.269–2.994) (Figure 2). In addition, stratification by age of menopause showed that the association between CAS and the presence of MetS was significant regardless of early, normal, or late menopause (Table 2).

Figure 2 The association between carotid artery stenosis and MetS.

Abbreviation: MetS, metabolic syndrome.

Table 2 Multivariable analyses of relationship between CAS and MetS stratified by age

Models	Ref	Age <45 years	45 years ≤ Age ≤ 50 years	Age >50 years
		OR (95% CI)	OR (95% CI)	OR (95% CI)
Crude model	1	3.917 (1.219–12.583)	2.238 (1.343–3.730)	2.742 (1.570–4.786)
Model 1	1	3.678 (1.092–12.390)	2.224 (1.329–3.721)	3.054 (1.720–5.424)
Model 2	1	5.041 (1.230–20.66)	2.347 (1.376–4.004)	3.033 (1.681–5.470)
Model 3	1	7.432 (1.437–38.431)	2.359 (1.357–4.100)	3.051 (1.677–5.553)

Notes: Crude model, unadjusted; Model 1, adjust for BMI; Model 2, model 2 with additional adjustment for parity and miscarriage; Model 3, model 3 with additional adjustment for education, family income, and physical activity.

Abbreviations: BMI, body mass index; CAS, carotid artery stenosis; MetS, metabolic syndrome.

To further elucidate the correlations between MetS and CAS, confounding factors, including age, physical activity, BMI, and family income, were investigated by logistic regression. Compared with those without MetS, postmenopausal women with MetS were more likely to develop CAS (≤50 years, OR, 1.81; 95% CI, 1.045–3.136; >50 years, OR, 2.125; 95% CI, 1.034–4.368). In addition, physical activity (never or moderate), BMI (>24 kg/m²), and family income (<3,000 RMB) were also independent risk factors for CAS development in women with MetS (Table 3).

Table 3 The logistic regression analyses of age, physical activity, BMI, and family income to the development of CAS in those with MetS

Characteristics	Carotid artery stenosis		P-value for interaction
	Without MetS	MetS (95% CI)
Age (years)			0.4635
≤50	Ref	1.810 (1.045–3.136)
>50	Ref	2.125 (1.034–4.368)
Physical activity			0.9079
Never or moderate	Ref	2.165 (1.107–4.232)
Heavy	Ref	1.718 (0.967–3.051)
BMI (kg/m^2)			0.1269
≤24	Ref	1.146 (0.533–2.466)
>24	Ref	2.470 (1.409–4.330)
Income			0.0002
<3,000	Ref	3.557 (1.995–6.340)
≥3,000	Ref	0.980 (0.931–1.032)

Note: Data are OR (95% CIs).

Abbreviations: BMI, body mass index; CAS, carotid artery stenosis; MetS, metabolic syndrome.

Discussion

Menopause is a cascade of physiological and psychological change involving sex hormone levels, hemodynamics, and oxidative stress whose complex effect on the endocrine system may lead to long-term implications for women’s health including dyslipidemia, insulin resistance, and hypertension.⁸ These changes make postmenopausal women significantly more susceptible to MetS.¹⁹ Arthur et al had found that the prevalence of MetS increased with an overall prevalence of 30.4% in postmenopausal women.²⁰ Maiello et al had discovered that nearly 66.4% postmenopausal women have had MetS.²¹ Our results are in accordance with previous studies with MetS found in 53.5% of our population. Postmenopausal women affected by MetS have an increased aortic stiffness, which is associated with CAS and is an important marker of early atherosclerosis and high risk of stroke.

The individual abnormalities involved in MetS are traditional risk factors for cardiovascular disease. Epidemiological studies have demonstrated that postmenopausal women are at a higher risk of MetS. Our community-based study showed that MetS is significantly associated with CAS in postmenopausal women. In addition, our results also showed that there was no correlation between age at menopause and the development of CAS in women with MetS.

The reason several risk factors for CAS are clustered together in patients with MetS has not yet been determined. Two or more cardiovascular risk factors were found more frequently; hypertension and lipid abnormalities, which are associated with elevated cardiovascular risk, were found in 80.5% and 91.8% of participants with MetS in our study, respectively.²² The results suggest that a simple clinical evaluation for the presence of MetS should play a key role in CAS prevention.

In this community-based observational study, we compared CAS prevalence in postmenopausal women with and without MetS. The results showed that women with MetS had a higher CAS prevalence even after adjusting for risk factors (age, BMI, parity, previous miscarriage, education, family income, and physical activity). In addition, it was noteworthy that family income was significantly correlated with the development of CAS, which had not been mentioned in previous reports. We believe this maybe a reflection of the participants’ socioeconomic conditions. As people with low family incomes may have less access to physical training and periodic physical examinations, their risk of CAS may be increased. In addition, we should also note that patients with CAS tended to be younger. We speculate that this may be related to the environment, lifestyle, and diet among other factors.

A few limitations of the current study are acknowledged. First, this was a cross-sectional study and might be affected by reverse causality and survivor bias. We had excluded the participants with serious cardiovascular and cerebrovascular diseases from the analysis. Therefore, determining the outcomes of the relationship in question was not possible. Second, this was a cohort study in which the participants were not matched by age at its baseline. Therefore, the results may have been biased. Furthermore, our results cannot be generalized to all Asian women as the participants, employees, retirees, and relatives of persons associated with the Jidong coal mine industry do not represent a typical Asian population. Third, CAS was defined as PSV ≥125 cm/s, which may reflect the presence of calcific lesions but overlook soft or lipoid lesions. Fourth, in addition to the small sample size, the number of participants at each period of menopause (early, normal, and late) was not equal across the subgroups.

Conclusion

In conclusion, the finding that menopausal women with MetS are more susceptible to CAS is clinically significant. Hypertension and lipid abnormalities can be significant risk factors during disease progress. The effect of MetS on cardiovascular disease should be taken into consideration in order to prevent cardiovascular and cerebrovascular diseases, especially in postmenopausal women.

Author contributions

All authors contributed toward data analysis, drafting and critically revising the paper, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.

Acknowledgments

This study was supported by China Postdoctoral Science Foundation (No 2017M620700), the Natural Science Foundation of China (No 81803909) and Beijing Municipal Administration of Hospitals’ Youth Programme (QML20170703). The authors appreciate all the participants and their relatives in the study and the members of the survey teams from the Jidong community.

Disclosure

The authors report no conflicts of interest in this work.