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Aragon workers’ health study – design and cohort description

BMC Cardiovascular Disorders volume 12, Article number: 45 (2012) Cite this article

Abstract

Background

Spain, a Mediterranean country with relatively low rates of coronary heart disease, has a high prevalence of traditional cardiovascular risk factors and is experiencing a severe epidemic of overweight/obesity. We designed the Aragon Workers’ Health Study (AWHS) to characterize the factors associated with metabolic abnormalities and subclinical atherosclerosis in a middle aged population in Spain free of clinical cardiovascular disease. The objective of this paper is to describe the study design, aims and baseline characteristics of participants in the AWHS.

Methods/Design

Longitudinal cohort study based on the annual health exams of 5,400 workers of a car assembly plant in Figueruelas (Zaragoza, Spain). Study participants were recruited during a standardized clinical exam in 2009–2010 (participation rate 95.6%). Study participants will undergo annual clinical exams and laboratory assays, and baseline and triennial collection of biological materials for biobanking and cardiovascular imaging exams (carotid, femoral and abdominal ultrasonography, coronary calcium score, and ankle-arm blood pressure index). Participants will be followed-up for 10 years.

Results

The average (SD) age, body mass index, and waist circumference were 49.3 (8.7) years, 27.7 (3.6) kg/m2 and 97.2 (9.9) cm, respectively, among males (N = 5,048), and 40.8 (11.6) years, 24.4 (3.8) kg/m2, and 81.9 (9.9) cm, among females (N = 351). The prevalence of overweight, obesity, current smoking, hypertension, hypercholesterolemia, and diabetes were 55.0, 23.1, 37.1, 40.3, 75.0, and 7.4%, respectively, among males, and 23.7, 8.3, 45.0, 12.1, 59.5, and 0.6%, respectively, among females. In the initial 587 study participants who completed all imaging exams (94.5% male), the prevalence of carotid plaque, femoral plaque, coronary calcium score >1 to 100, and coronary calcium score >100 was 30.3, 56.9, 27.0, and 8.8%, respectively. 67.7% of study participants had at least one plaque in the carotid or femoral arteries.

Discussion

Baseline data from the AWHS show a high prevalence of cardiovascular risk factors and of sublinical atherosclerosis. Follow-up of this cohort will allow the assessment of subclinical atherosclerosis progression and the link of disease progression to traditional and emergent risk factors.

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Background

Cardiovascular disease (CVD) is the first cause of death worldwide, but there are substantial differences in its incidence, prevalence and mortality across countries and ethnicities [1–3]. Spain, a Mediterranean country with low rates of coronary heart disease (CHD) compared to other Western countries [4–7], has a paradoxical high prevalence of traditional cardiovascular risk factors, including dyslipidemia, hypertension, smoking, and diabetes [5, 6, 8–11]. Furthermore, Spain is experiencing a severe epidemic of overweight/obesity [12, 13] that will likely increase the rate of CHD and other obesity-related pathologies. The reasons for the discrepancy between the risk factor profile and the incidence of CHD in Spain are unclear and deserve additional study [14]. In addition, there is substantial interest in understanding how a population-wide increase in adiposity affects atherosclerosis and cardiovascular endpoints in a Western country with relatively low background levels of CHD.

Recent advances in imaging techniques provide a unique opportunity to understand the relation between risk factors and subclinical CVD at the population level. Calcium coronary scoring increases risk discrimination compared to risk equations based on traditional cardiovascular risk factors [15]. Moreover, carotid [16] and aortic ultrasound scans [17], and the ankle-brachial blood pressure index [18] provide added information on the presence of subclinical atherosclerosis in non-coronary vascular territories [19]. In this context, the specific genetic and environmental factors associated with the presence and the progression of subclinical atherosclerosis in Mediterranean populations with high prevalence of risk factors are still relatively unexplored, particularly in middle-aged populations that may have developed subclinical disease but not clinical symptoms.

In this paper, we describe the objectives, the methods used for data collection and participant follow-up, and the baseline characteristics of the Aragon Workers’ Health Study (AWHS), a longitudinal cohort study to characterize the factors associated with metabolic abnormalities and subclinical atherosclerosis in a middle aged population in Spain free of clinical CVD.

Methods/Design

Objectives of the Aragon workers’ health study

The AWHS was designed to evaluate the trajectories of traditional and emergent CVD risk factors and their association with the prevalence and progression of subclinical atherosclerosis in a population of middle-aged men and women in Spain. The study involves annual evaluation of cardiovascular risk factors and clinical endpoints together with baseline and triennial blood and urine sampling for biobanking and imaging of subclinical atherosclerosis in a cohort of over 5,000 workers of a large car assembly plant in Figueruelas (Zaragoza, Spain). The study started in February 2009 and completed enrollment in December 2010. Active follow-up of cohort participants will extend through 2020.

The specific aims of AWHS are to establish the research infrastructure required for a longitudinal cohort study, including setting up a biobank of repeated biological samples to conduct future assays in stored serum, plasma, whole blood, urine, and DNA; to identify new genetic, behavioral, and environmental determinants of the progression of adiposity and of the development of metabolic abnormalities and cardiovascular risk factors; to characterize the prevalence and progression of subclinical CVD through non-invasive imaging techniques and their genetic, behavioral, and environmental determinants; to interact with external investigators to promote the use of the study database and stored materials for ancillary studies; and to disseminate the study findings to the scientific community, to public health authorities, and to the general public.

Sources of support

AWHS is funded through a collaborative agreement between the Instituto Aragonés de Ciencias de la Salud (I + CS) of the regional Government of Aragón, the National Center for Cardiovascular Research (CNIC) of the Instituto de Salud Carlos III, and General Motors Spain. The study was approved by the governing and scientific boards of I + CS and CNIC, and by the management and the workers’ representatives of General Motors Spain.

Study design and population

AWHS is a prospective, longitudinal cohort study based on the annual health exams of the workers of the General Motors Spain automobile assembly plant located in Figueruelas (Zaragoza, Spain). Each year, factory workers undergo a standardized clinical exam. Starting in February 2009, factory workers were asked for consent to participate in AWHS by allowing use of their annual health exam data, by completing additional questionnaires on cardiovascular and lifestyle risk factors, by providing blood and urine samples for the study biobank, and by participating in triennial exams to assess the presence of subclinical atherosclerosis. The schedule of data collection in AWHS is summarized in Figure 1. According to the study protocol, workers who did not attend the annual exam during the first year or who start working in the factory after the study started will be offered the possibility of entering the study in future exams. Workers are excluded from the cohort if they have clinically overt CVD, or a major clinical condition limiting survival to <3 years at baseline. The study was approved by the central Institutional Review Board of Aragón (CEICA). All study participants provided written informed consent.

Figure 1
figure 1

Schedule of data collection, Aragon Workers Health Study.

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Data collection

Data collection is organized around the annual medical exam that the Medical Services of General Motors Spain provide to all workers. The clinical exam follows standardized protocols using validated procedures and instruments. Data collection at the annual medical exams is conducted by the physicians and nurses of the Medical Services of General Motors Spain, who underwent training and standardization programs organized by the study investigators. All study procedures are described in the standard operating procedures. Compliance with study procedures is routinely monitored and deviations are corrected. The study conforms to the ISO9001-2008 quality standard.

At each annual exam, study participants provide a clinical history, including clinical events and hospitalizations over the past year and current medication use, and undergo a physical exam, including anthropometry (height, weight, and waist circumference), blood pressure measurements and heart rate. Blood pressure is measured three consecutive times using an automatic oscillometric sphygmomanometer OMRON M10-IT (OMRON Healthcare Co. Ltd., Japan) with the participant sitting after a 5-min rest. Each participant also provided a sample of blood and urine after overnight (>8 h) fasting for laboratory analyses and for biobanking.

Each year, one random third of study participants 40 – 55 years of age at baseline will be selected for subclinical atherosclerosis imaging and for additional questionnaires of cardiovascular and lifestyle factors, including the Spanish validated versions of the Nurses’ Health Study and Health Professionals’ Follow-up semi-quantitative food frequency [20] and physical activity questionnaires [21], and the Center for Epidemiological Studies – Depression (CES-D) scale [22].

Subclinical atherosclerosis imaging

Imaging of subclinical atherosclerosis is performed at the AWHS Clinic located at the Hospital Universitario Miguel Servet in Zaragoza, Spain. Calcium coronary scoring is performed using non-contrast ECG gated prospective acquisition by a 16 multidetector computed tomography scanner (Philips). We will evaluate the progression/regression of calcium score as a continuous variable. In addition, we will categorize coronary calcium scores in 3 mutually exclusive groups: none; Agatston score ≥1 to 100 and <75th percentile of the score in the MESA population for the same age and sex [23]; and Agatston score >100 or ≥75th percentile of the score in the MESA population for the same age and sex. We selected Agatston scores >100 or ≥75th percentile of the age- and sex-specific distributions because these have been the lower lower levels of coronary calcium associated with mild increases in coronary heart disease event rates [23].

Carotid intima-media thickness and the presence of carotid plaque in both carotid arteries is determined using an ultrasound system IU22 Philips. Ultrasound images are acquired by linear high frequency 2-dimensional (2D) and 3-dimensional (3D) probes following the protocol of the Bioimage Study [19]. Carotid plaque is defined as a focal structure that protrudes into the lumen of the carotid artery at least 0.5 mm or ≥50% thicker than the surrounding intima-media [24]. Intima-media thickness is considered abnormal if it is ≥75th percentile of the age- and sex of reference population [25].

Abdominal aorta aneurysms (AAA) are identified using abdominal ultrasound with a linear transducer [26] AAA are defined as localized dilatations of the abdominal aorta ≥50% greater than the aortic diameter or with a diameter ≥30 mm in cross-sectional view [24]. 2D and 3D ultrasound imaging of the right and left femoral and iliac arteries are also be performed by using linear array transducers (Philips) [27]. Mean common femoral intima-media thickness is calculated as the average of the distances between the intima and media layers by ultrasound in a 2-cm segment proximal to the bifurcation. Plaques are defined as in the carotid arteries. In all cases plaques are recorded in both longitudinal and transverse planes to take into consideration circumferential asymmetry.

The ankle-brachial index is calculated from resting blood pressure measurements in the brachial arteries in both arms and the posterior tibial and dorsalis pedis arteries in both legs. We will consider abnormal an ankle-brachial index ≤0.9 in at least one leg.

In AWHS, imaging techniques are applied to study participants who are 40–55 years old at baseline. Ultrasound measures of the carotid, aortic, femoral and iliac arteries and ankle-brachial blood pressure index are measured in a random third of eligible participants each year during years 2–4 of the study, and then repeated in years 5–7 and 8–10 of the study. Coronary calcium will be measured in years 2–4 of the study in a random third of eligible participants each year and then repeated in years 8–10 of the study. For each eligible participant, we will thus be able to study the progression/regression of subclinical atherosclerosis over 6 years of follow-up.

Laboratory analysis

Each year, study participants provide a blood and urine samples after overnight fasting. A battery of laboratory tests is performed annually in all workers at the laboratory of the Medical Services of General Motors Spain. Fasting serum glucose, triglycerides, total cholesterol and HDL-cholesterol are measured by spectrophotometry (Chemical Analyzer ILAB 650, Instrumentation Laboratory), serum apolipoproteins AI and B by kinetic nephelometry (Immunochemistry Analyzer IMMAGE 800, Beckman Coulter), and fasting serum insulin by immunoenzymatic chemiluminiscence (Access Immunoassay System, Beckman Coulter). Whole blood HbA1c is measured by reverse-phase cationic exchange chromatography and quantification by double wave-length colorimetry quantification (Analyzer ADAMS A1c HA-810, Arkray Factory).

AWHS participates in two external quality control programs: the national quality control program of the Spanish Society for Clinical Chemistry (SEQC) for glucose, triglycerides, total cholesterol, HDL-cholesterol, apolipoprotein A1, and apolipoprotein B, and insulin, and an international quality control program by BIO-RAD for glucose, total cholesterol, and HDL-cholesterol.

Blood and urine samples are processed the same day of extraction. Biological samples are stored from all cohort participants at baseline and for the one-third subsample selected for imaging techniques each year. For biobanking, about 15 ml of EDTA blood and 5 ml of blood without anticoagulant for serum preparation are fractionated into plasma, serum and whole blood and stored in 1 ml dot-coded metal-free cryotubes at −80 °C. Spot (casual) urine samples are also collected and stored in 5 ml vials at −80 °C. Genomic DNA is extracted from peripheral blood cells by use of commercial reagents (FlexiGene DNA Kit, QIAGEN, USA). DNA purity and concentration is determined by absorbance at 260 nm (A260) and 280 nm (A280) using Nanovue (GE Healthcare, Munich Germany). DNA is stored in 0.3 ml vials at −80 °C. Biological specimens for each participant are stored in two geographically separated repositories.

Risk factor definition

Definitions of cardiovascular risk factors were based on European Guidelines [28, 29]. Hypertension was defined as a measured blood pressure ≥140/90 mmHg (130/80 in participants with diabetes) or current use of antihypertensive medication. Hypercholesterolemia was defined as a total cholesterol level ≥190 mg/dL (4.9 mmol/L) or current use of lipid lowering medication. Diabetes was defined as a diagnosis of diabetes in the clinical record, current use of antidiabetic medication, a fasting serum glucose ≥126 mg/dL (7.0 mmol/L), or an HbA1c ≥6.5% [30].

Cohort follow-up

Follow-up of study participants is based primarily on the annual medical exams at the factory. In addition to these exams, the Medical Services of General Motors Spain routinely collect information on any clinical or health-related event occurring to the workers during the study period. Furthermore, an Absenteeism Center at General Motors Spain tracks medical leaves or disabilities of all workers. Finally, when workers who have been on medical leave for >30 days return to work, they have to undergo a mandatory clinical exam at the factory’s Medical Services to collect information on the possible causes and sequelae of the process responsible for the medical leave. All diagnosis collected through the Medical Services or the Absenteeism Center are revised and coded according to standardized criteria by the study Endpoints Committee.

For workers who discontinue employment during the study period, we will register the reason for discontinuation (e.g. retirement) and its possible relation to health events, and we will offer study participant the possibility of continuing the annual exams and the triennial evaluations of subclinical atherosclerosis at the AWHS Clinic located in the Hospital Miguel Servet in Zaragoza, Spain.

Statistical methods

AWHS data are integrated in a relational database that also provides support to the study biobank and the study research and dissemination processes. Database management and related processes, including anonymization, security, back-ups, documentation, and data checks and corrections, are documented in detail. The descriptive analyses of baseline data presented in this paper are based in means and standard deviations for continuous variables and count and proportions for categorical variables. Statistical analyses were performed using Stata version 11.

Results

Between February 2009 and May 2010, 5,775 workers attended the annual clinical exam, of whom 5,456 (94.5%) consented to participate in the study (Figure 2). After exclusion of 56 participants with prevalent CVD, the final sample size was 5,400. Most participants were involved in production jobs (manufacturing and assembly of automobile pieces and components) from four areas: presses, car body, painting, and final assembly. Other occupations included maintenance (plumbing, electricity, electronics, etc.), quality control (process laboratory and quality assurance), movement of materials, and administrative work. Most workers were involved in manual (blue collar) jobs (86.5% of men and 60.5% of women).

Figure 2
figure 2

Flowchart of study participants, Aragon Workers Health Study.

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Among males, the average (SD) age, body mass index, and waist circumference were 49.3 (8.7) years, 27.7 (3.6) kg/m2 and 97.2 (9.9) cm, respectively (Table 1). The proportion of male participants who were overweight, obese, and current smokers were 55.0, 23.1, and 37.1%, respectively. The average systolic and diastolic blood pressure were 127.0 (14.7) and 83.8 (10.1) mmHg, with a prevalence of hypertension of 40.3%. The average levels of total cholesterol, HDL-cholesterol and triglycerides were 212.4 (37.6), 52.4 (11.0), and 148.8 (106.1) mg/dL, respectively, with a prevalence of hypercholesterolemia of 75.0%. The prevalence of diabetes was 7.4%.

Table 1 Aragon’ Workers Health Study (AWHS) baseline characteristics, 2009 – 2010
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Among females, the average (SD) age, body mass index, and waist circumference were 40.8 (11.6) years, 24.4 (3.8) kg/m2 and 81.9 (9.9) cm, respectively (Table 1). The proportion of female participants who were overweight, obese, and current smokers were 23.7, 8.3, and 45.0%, respectively. The average systolic and diastolic blood pressure were 111.4 (13.2) and 76.4 (9.5) mmHg, with a prevalence of hypertension of 12.1%. The average levels of total cholesterol, HDL-cholesterol and triglycerides were 204.3 (39.9), 66.5 (14.2), and 89.7 (75.5) mg/dL, respectively, with a prevalence of hypercholesterolemia of 59.5%. The prevalence of diabetes was 0.6%.

The initial 587 study participants who completed all imaging exams (94.5% male) had an average (SD) age of 50.9 (3.6) years. The prevalence of carotid plaque, femoral plaque, coronary calcium score >1 to 100, and of coronary calcium score >100 was 30.3, 56.9, 27.0, and 8.8%, respectively. 67.7% of study participants had at least one plaque in the carotid or femoral arteries (Table 2).

Table 2 Prevalence of subclinical atherosclerosis in the initial 587 AWHS participants completing all imaging procedures
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Discussion

In AWHS, we recruited a cohort of working middle age men and women with a high prevalence of traditional risk factors and of subclinical atherosclerosis but with a low prevalence of overt CVD. At baseline, the AWHS population showed a high prevalence of practically all cardiovascular risk factors, and particularly of overweight and obesity. While there is no nationally representative study of the prevalence of cardiovascular risk factors in Spain, pooled analyses of local population-based studies have also identified a high prevalence of cardiovascular risk factors in the general population in Spain (Table 3) [5, 6, 8–10].

Table 3 Prevalence of traditional cardiovascular risk factors in large population studies in Spain
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The high prevalence of cardiovascular risk factors in the AWHS population, particularly among men, is also consistent with other studies of worker populations in Spain [31–36]. Among workers at a different car assembly plant in Spain [32], 69.3% of male workers had at least one cardiovascular risk factor. In a large sample of over 200,000 workers enrolled in a mutual insurance fund in 2004 – 2005 (average age 36.4 years) [31], the prevalence of smoking, overweight/obesity, hypertension, hypercholesterolemia, and diabetes were 51.3, 63.1, 27.0, 48.7, and 3.0%, respectively, in men, and 43.8, 29.2, 8.8, 40.6, and 0.6%, respectively, in women. Similarly, in the MESYAS Registry [34], the prevalence of workers who were current smokers or who had at least one metabolic abnormality were 51.4 and 65.5%, respectively. These high levels of cardiovascular risk factors occurred among relatively young populations under regular medical supervision, highlighting the need for non-medical, population-based approaches to cardiovascular risk control in these populations [37].

The high prevalence of cardiometabolic risk factors in the AWHS population is likely a consequence of the high prevalence of overweight/obesity. While there are no systematic health surveys with comparable measures of body mass index in Spain that allow for a detailed characterization of the obesity epidemic in the country [11], available data indicate that overweight/obesity has become a major health problem in Spain [11–13]. In the DARIOS Study, for instance, the average prevalence of overweight/obesity in population based studies conducted in Spain during 2000 – 2009 was 79% in men and 65% in women [10]. Survey data based on self-report suggest that the average body mass index of the Spanish population has increased continuously at least since the late 1980s and that the rate of growth has still not leveled off [12]. Indeed, the Spanish and Greek centers had the highest prevalence of obesity of all centers participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study [38]. The high prevalence of overweight/obesity threatens the privileged situation of Spain in terms of CVD incidence [14]. Advancing the understanding of the link between obesity, cardiometabolic abnormalities and subclinical atherosclerosis is a major objective of the AWHS, well-suited to the high prevalence of excess adiposity in this population.

The AWHS uses a combination of non-invasive techniques, modeled after the HRP Bioimage study [19], to identify subclinical atherosclerosis. In the initial 587 cases, we found a higher prevalence of sublinical atherosclerotic plaques in the femoral arteries compared to the carotid arteries. In addition, the presence of carotid and femoral plaque was more common than the presence of coronary calcium. The use of ultrasound to identify atherosclerosis in the femoral arteries is significant innovation in AWHS compared to other cohorts. A comparison of AWHS to other landmark cohorts using non-invasive cardiovascular imaging [19, 39–42] is available in Table 4. Coronary calcium scoring is the only novel cardiovascular biomarker that markedly adds discriminative power to risk scores based on traditional risk factors [15, 43]. Carotid IMT is the most commonly used ultrasound parameter to assess subclinical atherosclerosis. Its usefulness has been limited by operator-dependency and high within subject variability [16], but the use of internal carotid artery maximum IMT or presence of plaque instead of average IMT may improve risk discrimination [44]. As in the HRP Bioimage Study, we will use a 3D ultrasound probe that may have a higher sensitivity for identifying carotid artery plaque compared to 2D IMT imaging. In the AWHS we will also perform abdominal and inguinal ultrasound scans to identify abdominal aortic aneurisms and iliac and femoral atherosclerotic plaques. Repeated ultrasound scans every 3 years and calcium coronary scans after 6 years will allow for a detailed characterization of the natural history of atherosclerosis in study participants and for the identification of novel determinants of its progression.

Table 4 Comparison of the Aragon Workers’ Health Study to landmark cohort studies of subclinical cardiovascular imaging
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The AWHS provides an excellent opportunity to evaluate cardiometabolic factors and subclinical atherosclerosis in a middle-age Mediterranean population with high levels of overweight/obesity. Compared to other studies, the availability of annual follow-up visits of study participants will allow for a detailed evaluation of the trajectories of cardiometabolic parameters and subclinical atherosclerosis and their behavioral, environmental, and genetic determinants. The high response rate observed is a reflection of the long-standing collaboration between study investigators and personnel of the Medical Services of General Motors Spain. Consistent with previous collaborations of the research team, we anticipate a high follow-up rate. In addition, although the design of the AWHS has focused on cardiometabolic risk factors because of their high impact in this population, the cohort design of the AWHS will accommodate the simultaneous study of other health issues. Because of the annual study visits, the study is also well suited to incorporate ancillary studies or tests that allow for the evaluation of novel hypotheses.

As in any study, the findings of AWHS will be affected by a variety of limitations. The main threat of losses to follow-up corresponds to retiring workers and to workers who stop working due to health issues. Whenever workers terminate employment, we will register the reasons and will invite participants to follow-up visits at the AWHS clinic at the Hospital Miguel Servet in Zaragoza, Spain. In addition to selection biases, two factors will limit the generalizability of the study. First, the AWHS is based on a working population, and the findings may not apply to non-working groups. The inclusion of workers in the study, however, does not affect the attainment of the main objectives of the study as the disease processes evaluated in the study are not restricted to specific occupations. Second, the study population is composed largely, although not exclusively, of men, reflecting the sex distribution in the factory. As a consequence, AWHS will not be able to study cardiometabolic risk factors that affect differentially men and women.

In spite of its limitations, AWHS will provide novel information on the distribution and trajectories of risk factors and subclinical CVD in a population with a high prevalence of underlying risk factors but still with a low prevalence of clinical CVD. We expect to identify trajectories of risk factors that will provide hints for the control of the progression of early atherosclerosis and thus minimize the burden of disease in later years of life. Follow-up of this cohort will also allow the assessment of subclinical atherosclerosis progression and the link of disease progression to traditional and emergent risk factors.

References

  1. Institute of Medicine (US) Committee on Preventing the Global Epidemic of Cardiovascular Diseas: Meeting the Challenges in Developing Countries. Promoting Cardiovascular Health in the Developing World: A Critical Challenge to Achieve Global Health. Edited by: Fuster V, Kelly BB. 2010, National Academies Press (US), Washington, DC

    Google Scholar 

  2. Kuulasmaa K, Tunstall-Pedoe H, Dobson A, et al: Estimation of contribution of changes in classic risk factors to trends in coronary-event rates across the WHO MONICA Project populations. Lancet. 2000, 355 (9205): 675-87. 10.1016/S0140-6736(99)11180-2.

    Article  CAS  PubMed  Google Scholar 

  3. Tunstall-Pedoe H, Vanuzzo D, Hobbs M, et al: Estimation of contribution of changes in coronary care to improving survival, event rates, and coronary heart disease mortality across the WHO MONICA Project populations. Lancet. 2000, 355 (9205): 688-700. 10.1016/S0140-6736(99)11181-4.

    Article  CAS  PubMed  Google Scholar 

  4. Conroy RM, Pyorala K, Fitzgerald AP, et al: Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003, 24 (11): 987-1003. 10.1016/S0195-668X(03)00114-3.

    Article  CAS  PubMed  Google Scholar 

  5. Villar Alvarez F, Banegas Banegas JR, Donado Campos JM, Rodriguez Artalejo F: Las enfermedades cardiovasculares y sus factores de riesgo en España. Informe SEA 2003. 2003, Sociedad Española de Arteriosclerosis, Madrid

    Google Scholar 

  6. Villar Alvarez F, Banegas Banegas JR, Donado Campos JM, Rodriguez Artalejo F: Las enfermedades cardiovasculares y sus factores de riesgo en España. Informe SEA 2007. 2007, Sociedad Española de Arteriosclerosis, Madrid

    Google Scholar 

  7. Marrugat J, Elosua R, Marti H: Epidemiology of ischaemic heart disease in Spain: estimation of the number of cases and trends from 1997 to 2005. Rev Esp Cardiol. 2002, 55 (4): 337-46.

    Article  PubMed  Google Scholar 

  8. Medrano MJ, Cerrato E, Boix R, Delgado-Rodriguez M: Cardiovascular risk factors in Spanish population: metaanalysis of cross-sectional studies. Med Clin (Barc). 2005, 124 (16): 606-612. 10.1157/13074389.

    Article  Google Scholar 

  9. Gabriel R, Alonso M, Segura A, et al: Prevalence, geographic distribution and geographic variability of major cardiovascular risk factors in Spain, Pooled analysis of data from population-based epidemiological studies: the ERICE Study. Rev Esp Cardiol. 2008, 61 (10): 1030-1040. 10.1157/13126043.

    Article  PubMed  Google Scholar 

  10. Grau M, Elosua R, Cabrera de Leon A, et al: Cardiovascular risk factors in Spain in the first decade of the 21st Century, a pooled analysis with individual data from 11 population-based studies: the DARIOS study. Rev Esp Cardiol. 2011, 64 (4): 295-304. 10.1016/j.recesp.2010.11.005.

    Article  PubMed  Google Scholar 

  11. Rodriguez-Artalejo F, Guallar-Castillon P, Villar Alvarez F, Banegas JR: Critical review and proposals for improvement of the health information systems on cardiovascular diseases in Spain. Med Clin (Barc). 2008, 131 (8): 302-11.

    Article  Google Scholar 

  12. Camara AD, Spijker JJ: Super size Spain? A cross-sectional and quasi-cohort trend analysis of adult overweight and obesity in an accelerated transition country. J Biosoc Sci. 2010, 42 (3): 377-393. 10.1017/S0021932009990629.

    Article  PubMed  Google Scholar 

  13. Schroder H, Elosua R, Vila J, Marti H, Covas MI, Marrugat J: Secular trends of obesity and cardiovascular risk factors in a Mediterranean population. Obesity (Silver Spring). 2007, 15 (3): 557-562. 10.1038/oby.2007.574.

    Article  CAS  Google Scholar 

  14. Laclaustra M, Ordonez B, Leon M, et al: Metabolic syndrome and coronary heart disease among Spanish male workers: A case–control study of MESYAS. Nutr Metab Cardiovasc Dis. 2012, 22 (6): 510-6. 10.1016/j.numecd.2010.09.009.

    Article  CAS  PubMed  Google Scholar 

  15. Taylor AJ, Cerqueira M, Hodgson JM, et al: ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 Appropriate Use Criteria for Cardiac Computed Tomography. A Report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the American Society of Nuclear Cardiology, the North American Society for Cardiovascular Imaging, the Society for Cardiovascular Angiography and Interventions, and the Society for Cardiovascular Magnetic Resonance. Circulation. 2010, 122 (21): e525-55.

    Article  PubMed  Google Scholar 

  16. Stein JH, Korcarz CE, Hurst RT, et al: Use of carotid ultrasound to identify subclinical vascular disease and evaluate cardiovascular disease risk: a consensus statement from the American Society of Echocardiography Carotid Intima-Media Thickness Task Force. Endorsed by the Society for Vascular Medicine. J Am Soc Echocardiogr. 2008, 21 (2): 93-111. 10.1016/j.echo.2007.11.011.

    Article  PubMed  Google Scholar 

  17. Earnshaw JJ, Shaw E, Whyman MR, Poskitt KR, Heather BP: Screening for abdominal aortic aneurysms in men. BMJ. 2004, 328 (7448): 1122-4. 10.1136/bmj.328.7448.1122.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Fowkes FG, Murray GD, Butcher I, et al: Ankle brachial index combined with Framingham Risk Score to predict cardiovascular events and mortality: a meta-analysis. JAMA. 2008, 300 (2): 197-208.

    Article  CAS  PubMed  Google Scholar 

  19. Muntendam P, McCall C, Sanz J, Falk E, Fuster V: The BioImage Study: novel approaches to risk assessment in the primary prevention of atherosclerotic cardiovascular disease--study design and objectives. Am Heart J. 2010, 160 (1): 49-57 e1. 10.1016/j.ahj.2010.02.021.

    Article  PubMed  Google Scholar 

  20. de la Fuente-Arrillaga C, Ruiz ZV, Bes-Rastrollo M, Sampson L, Martinez-Gonzalez MA: Reproducibility of an FFQ validated in Spain. Public Health Nutr. 2010, 13 (9): 1364-72. 10.1017/S1368980009993065.

    Article  PubMed  Google Scholar 

  21. Martinez-Gonzalez MA, Lopez-Fontana C, Varo JJ, Sanchez-Villegas A, Martinez JA: Validation of the Spanish version of the physical activity questionnaire used in the Nurses' Health Study and the Health Professionals' Follow-up Study. Public Health Nutr. 2005, 8 (7): 920-927.

    Article  PubMed  Google Scholar 

  22. Soler J, Perez-Sola V, Puigdemont D, Perez-Blanco J, Figueres M, Alvarez E: Validation study of the Center for Epidemiological Studies-Depression of a Spanish population of patients with affective disorders. Actas Luso Esp Neurol Psiquiatr Cienc Afines. 1997, 25 (4): 243-249.

    CAS  PubMed  Google Scholar 

  23. Budoff MJ, Nasir K, McClelland RL, et al: Coronary calcium predicts events better with absolute calcium scores than age-sex-race/ethnicity percentiles: MESA (Multi-Ethnic Study of Atherosclerosis). Journal of the American College of Cardiology. 2009, 53 (4): 345-352. 10.1016/j.jacc.2008.07.072.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Muntendam P, McCall C, Sanz J, Falk E, Fuster V: The BioImage Study: novel approaches to risk assessment in the primary prevention of atherosclerotic cardiovascular disease--study design and objectives. American heart journal. , 160 (1): 49-57 e1.

  25. Jarauta E, Mateo-Gallego R, Bea A, Burillo E, Calmarza P, Civeira F: Carotid intima-media thickness in subjects with no cardiovascular risk factors. Rev Esp Cardiol. 2010, 63 (1): 97-102. 10.1016/S0300-8932(10)70014-2.

    Article  PubMed  Google Scholar 

  26. Kent KC, Zwolak RM, Jaff MR, et al: Screening for abdominal aortic aneurysm: a consensus statement. J Vasc Surg. 2004, 39 (1): 267-269. 10.1016/j.jvs.2003.08.019.

    Article  PubMed  Google Scholar 

  27. Junyent M, Gilabert R, Zambon D, et al: Femoral atherosclerosis in heterozygous familial hypercholesterolemia: influence of the genetic defect. Arterioscler Thromb Vasc Biol. 2008, 28 (3): 580-586. 10.1161/ATVBAHA.107.153841.

    Article  CAS  PubMed  Google Scholar 

  28. Graham I, Atar D, Borch-Johnsen K, et al: European guidelines on cardiovascular disease prevention in clinical practice: full text. Fourth Joint Task Force of the European Society of Cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of nine societies and by invited experts). Eur J Cardiovasc Prev Rehabil. 2007, 14 (Suppl 2): S1-113.

    Article  PubMed  Google Scholar 

  29. Reiner Z, Catapano AL, De Backer G, et al: ESC/EAS Guidelines for the management of dyslipidaemias: The Task Force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and the European Atherosclerosis Society (EAS). Eur Heart J. 2011, 32 (14): 1769-818.

    Article  PubMed  Google Scholar 

  30. American Diabetes Association: Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010, 33 (Suppl 1): S62-9.

    Article  PubMed Central  Google Scholar 

  31. Sanchez-Chaparro MA, Roman-Garcia J, Calvo-Bonacho E, et al: Prevalence of cardiovascular risk factors in the Spanish working population. Rev Esp Cardiol. 2006, 59 (5): 421-30. 10.1157/13087894.

    Article  PubMed  Google Scholar 

  32. Grima Serrano A, Alegria Ezquerra E, Jover Estelles P: The prevalence of classic cardiovascular risk factors in a working Mediterranean population of 4996 men. Rev Esp Cardiol. 1999, 52 (11): 910-8.

    Article  CAS  PubMed  Google Scholar 

  33. Sanchez Chaparro MA, Calvo Bonacho E, Gonzalez Quintela A, et al: High cardiovascular risk in Spanish workers. Nutr Metab Cardiovasc Dis. 2011, 21 (4): 231-236.

    CAS  PubMed  Google Scholar 

  34. Alegria E, Cordero A, Laclaustra M, et al: Prevalence of metabolic syndrome in the Spanish working population: MESYAS registry. Rev Esp Cardiol. 2005, 58 (7): 797-806. 10.1157/13077231.

    Article  PubMed  Google Scholar 

  35. Tomas-Abadal L, Varas-Lorenzo C, Bernades-Bernat E, Balaguer-Vintro I: Coronary risk factors and a 20-year incidence of coronary heart disease and mortality in a Mediterranean industrial population. The Manresa Study, Spain. Eur Heart J. 1994, 15 (8): 1028-1036.

    CAS  PubMed  Google Scholar 

  36. Martinez Gonzalez MA, Bueno Cavanillas A, Fernandez Garcia MA, Garcia Martin M, Delgado Rodriguez M, Galvez Vargas R: [Prevalence of cardiovascular risk factors in a working population]. Med Clin (Barc). 1995, 105 (9): 321-326.

    CAS  Google Scholar 

  37. Weintraub WS, Daniels SR, Burke LE, et al: Value of primordial and primary prevention for cardiovascular disease. A policy statement from the American Heart Association. Circulation. 2011, 124: 1-24.

    Article  Google Scholar 

  38. Haftenberger M, Lahmann PH, Panico S, et al: Overweight, obesity and fat distribution in 50- to 64-year-old participants in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr. 2002, 5 (6B): 1147-1162. 10.1079/PHN2002396.

    Article  CAS  PubMed  Google Scholar 

  39. The ARIC investigators: The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. Am J Epidemiol. 1989, 129 (4): 687-702.

    Google Scholar 

  40. Fried LP, Borhani NO, Enright P, et al: The Cardiovascular Health Study: design and rationale. Ann Epidemiol. 1991, 1 (3): 263-276. 10.1016/1047-2797(91)90005-W.

    Article  CAS  PubMed  Google Scholar 

  41. Bild DE, Bluemke DA, Burke GL, et al: Multi-ethnic study of atherosclerosis: objectives and design. Am J Epidemiol. 2002, 156 (9): 871-881. 10.1093/aje/kwf113.

    Article  PubMed  Google Scholar 

  42. Chambless LE, Folsom AR, Davis V, et al: Risk factors for progression of common carotid atherosclerosis: the Atherosclerosis Risk in Communities Study, 1987–1998. Am J Epidemiol. 2002, 155 (1): 38-47. 10.1093/aje/155.1.38.

    Article  PubMed  Google Scholar 

  43. Detrano R, Guerci AD, Carr JJ, et al: Coronary calcium as a predictor of coronary events in four racial or ethnic groups. N Engl J Med. 2008, 358 (13): 1336-1345. 10.1056/NEJMoa072100.

    Article  CAS  PubMed  Google Scholar 

  44. Polak JF, Pencina MJ, Pencina KM, O'Donnell CJ, Wolf PA, D'Agostino RB: Carotid-wall intima-media thickness and cardiovascular events. N Engl J Med. 2011, 365 (3): 213-221. 10.1056/NEJMoa1012592.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Dr. Pocovi was supported in part by grant FIS PS09/0665 from Spain’s Fondo de Investigaciones Sanitarias. Dr. Leon was supported in part by grant FIS PS09/01936 from Spain’s Fondo de Investigaciones Sanitarias. Dr. Laclaustra was supported in part by grants FIS CP08/00112 and PI10/00021 from Spain’s Fondo de Investigaciones Sanitarias.

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Authors and Affiliations

  1. Cardiovascular Research Unit, Instituto Aragonés de Ciencias de la Salud (I + CS), Zaragoza, Spain

    José A Casasnovas & Montserrat León

  2. Prevention Depatment, General Motors Spain, Figueruelas, Spain

    Victor Alcaide

  3. Lipids Unit and Molecular Research Laboratory, Hospital Universitario Miguel Servet, Instituto Aragonés de Ciencias de Salud (I + CS), Zaragoza, Spain

    Fernando Civeira

  4. Department of Epidemiology, Atherothrombosis, and Imaging, National Center for Cardiovascular Research (CNIC), Madrid, Spain

    Eliseo Guallar, Borja Ibañez, Jesús Jiménez Borreguero, Martin Laclaustra, José Luis Peñalvo, José M Ordovás, Ginés Sanz & Valentín Fuster

  5. Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, 2024 E. Monument St., Room 2-639, Baltimore, MD, 21205, USA

    Eliseo Guallar

  6. Cardiovascular Institute, Hospital Clínico San Carlos, Madrid, Spain

    Borja Ibañez

  7. Department of Cardiology, Hospital de la Princesa, Madrid, Spain

    Jesús Jiménez Borreguero

  8. Nutrition and Genomics Laboratory, US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, USA

    José M Ordovás

  9. Madrid Institute for Advanced Studies on Food (IMDEA Food), Madrid, Spain

    José M Ordovás

  10. Department of Biochemistry, Molecular and Cell Biology, University of Zaragoza, Zaragoza, Spain

    Eliseo Guallar

  11. Department of Biochemistry, Molecular and Cell Biology, University of Zaragoza, Instituto Aragonés de Ciencias de la Salud (I + CS), Zaragoza, Spain

    Miguel Pocovi

  12. Centre for Biomedical Network Research on Rare Diseases (CIBERER), Zaragoza, Spain

    Miguel Pocovi

  13. Zena and Michael A. Wiener Cardiovascular Institute, and the Marie-Josee and Henry R. Kravis Cardiovascular Health Center, The Mount Sinai School of Medicine, New York, USA

    Valentín Fuster

Authors
  1. José A Casasnovas
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  2. Victor Alcaide
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  3. Fernando Civeira
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  7. Martin Laclaustra
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  8. Montserrat León
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  10. José M Ordovás
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  11. Miguel Pocovi
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  12. Ginés Sanz
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  13. Valentín Fuster
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Corresponding author

Correspondence to Eliseo Guallar.

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Competing interests

None of the authors had financial or non-financial competing interests related to this study.

Authors’ contributions

JAC, EG, and VF designed the study. JAC, VA, MLeon, JLP and GS organized and supervised data collection and quality control issues related to clinical measures. MP, MLaclaustra, and JMO organized and supervised data collection and quality control issues related to laboratory measurements and biobanking. FC, JJB organized and supervised data collection and quality control issues related to imaging techniques. MLaclaustra and MLeon organized and supervised the study database. EG and MLaclaustra performed statistical analyses. JAC, EG BI, MLaclaustra, MLeon, JMO, MP, and GS integrated the study scientific committee. EG drafted the manuscript. All authors provided important intellectual revisions to the manuscript and read and approved the final manuscript.

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Casasnovas, J.A., Alcaide, V., Civeira, F. et al. Aragon workers’ health study – design and cohort description. BMC Cardiovasc Disord 12, 45 (2012). https://doi.org/10.1186/1471-2261-12-45

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Keywords

BMC Cardiovascular Disorders

ISSN: 1471-2261

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