Ethnic disparities in estimated cardiovascular disease risk in Amsterdam, the Netherlands : The HELIUS study

General practitioners' views on cardiovascular prevention for ethnic minorities-a qualitative study in the Netherlands

OBJECTIVES

While ethnic minorities in Europe are disproportionally affected by cardiovascular disease (CVD), little is known about how general practitioners (GPs) perceive differences in risk or care needs across ethnic minority groups. Therefore, we explored GPs' views on whether ethnicity influences cardiovascular risk, whether a culturally sensitive approach is warranted, on potential barriers in the provision of such care, and to find potential opportunities to improve cardiovascular prevention for these groups.

METHODS

We conducted a qualitative study by interviewing GPs practising in The Netherlands. The interviews were semistructured, audio-recorded, and analysed by 2 researchers using thematic analysis.

RESULTS

We interviewed 24 Dutch GPs (50% male). GPs' views on the impact of ethnicity on CVD risk varied widely, yet it was generally recognized as a relevant factor in cardiovascular prevention for most minority groups, prompting earlier case-finding of high-risk patients. While GPs were aware of sociocultural differences, they emphasized an individualized approach. Perceived limitations were language barriers and unfamiliarity with sociocultural customs, leading to a need for continuing medical education on culturally sensitive care and reimbursement of telephone interpreting services.

CONCLUSION

Dutch GPs have differing views on the role of ethnicity in evaluating and treating cardiovascular risk. Despite these differences, they emphasized the importance of a personalized and culturally sensitive approach during patient consultations and expressed a need for continuing medical education. Additional research on how ethnicity influences CVD risk may strengthen cardiovascular prevention in increasingly diverse primary care populations.

Exploring discrimination and racism in healthcare: a qualitative phenomenology study of Dutch persons with migration backgrounds

OBJECTIVE

To explore and characterise the discrimination and racism experienced in healthcare from the perspective of Dutch patients with a migration background.

DESIGN

This was a qualitative phenomenological study incorporating an inductive thematic analysis of the answers provided to a free form online survey. Descriptive and differential analyses were conducted for the closed-ended questions.

SETTING

This study used an online survey distributed in Dutch about experiences of discrimination and racism in healthcare to the general population in the Netherlands.

PARTICIPANTS

The survey was completed by 188 participants (Mage=39.89, SDage=10.2). Of whom 80 (Mage=37.92, SDage=10.87) met the eligibility criteria for thematic analysis (ie, has a migration background or a relative with a migration background and experienced discrimination in healthcare based on their background) and were thus included in the analysis.

RESULTS

From the total sample, women, relative to men, were 2.31 times more likely to report experiencing healthcare discrimination (OR=2.31; 95% CI 1.23 to 4.37). The majority of the participants (60.1%) had a Moroccan or Turkish background. Six themes were identified relating to experienced discrimination in healthcare based on one's migration background: (1) explicit discrimination, (2) prejudice, (3) not being taken seriously, (4) discriminatory behaviour, (5) language barriers and (6) pain attribution to cultural background. Some participants reported that their attire or religion was linked to their migration background, thus contributing to their experiences of discrimination.

CONCLUSION

Dutch patients with a migration background may experience discrimination based on their ethnic identity or other factors related to their backgrounds, such as their faith, culture and skin colour. Discrimination manifests as intersectional and may take different forms (eg, discrimination based on the intersection between race and gender). Therefore, healthcare discrimination may increase health inequities and lead to unequal access to healthcare services. Implicitly or explicitly discriminating against patients is immoral, unethical, illegal and hazardous for individual and public health. Further research on the magnitude of discrimination in healthcare and its relation to health is needed.

Healthy ageing in a multi-ethnic population: A descriptive cross-sectional analysis from the HELIUS study

OBJECTIVE

We investigated ethnic health disparities in the Healthy Life in an Urban Setting multi-ethnic cohort using the multidimensional Healthy Ageing Score.

STUDY DESIGN

We conducted a cross-sectional analysis of the study baseline data (2011-2015) collected through questionnaires/physical examinations for 17,091 participants (54.8 % women, mean (SD) age = 44.5 (12.8) years) from South-Asian Surinamese (14.8 %), African Surinamese (20.5 %), Dutch (24.3 %), Moroccan (15.5 %), Turkish (14.9 %), and Ghanaian (10.1 %) origins, living in Amsterdam, the Netherlands.

MAIN OUTCOME MEASURES

We computed the Healthy Ageing Score developed in the Rotterdam Study, which has seven biopsychosocial domains: chronic diseases, mental health, cognitive function, physical function, pain, social support, and quality of life. That score was used to discern between healthy, moderate, and poor ageing. We explored differences in healthy ageing by ethnicity, sex, and age group using multinomial logistic regression.

RESULTS

The Healthy Ageing Score [overall: poor (69.0 %), moderate (24.8 %), and healthy (6.2 %)] differed between ethnicities and was poorer in women and after midlife (cut-off 45 years) across ethnicities (all p < 0.001). In the fully adjusted models in men and women, poor ageing (vs. healthy ageing) was highest in the South-Asian Surinamese [adjusted odds ratios (95 % confidence intervals)] [2.96 (2.24-3.90) and 6.88 (3.29-14.40), respectively] and Turkish [2.80 (2.11-3.73) and 7.10 (3.31-15.24), respectively] vs. Dutch, in the oldest [5.89 (3.62-9.60) and 13.17 (1.77-98.01), respectively] vs. youngest, and in the divorced [1.48 (1.10-2.01) and 2.83 (1.39-5.77), respectively] vs. married. Poor ageing was inversely associated with educational and occupational levels, mainly in men.

CONCLUSIONS

Compared with those of Dutch ethnic origin, ethnic minorities displayed less healthy ageing, which was more pronounced in women, before and after midlife, and was associated with sociodemographic factors.

Characteristics of heart failure in the Amsterdam metropolitan area (AMSTERDAM-HF): Data from a dynamic general practice cohort (2011-2021)

BACKGROUND

Heart failure (HF) is a common cardiac syndrome with a high disease burden and poor prognosis in our aging populations. Understanding the characteristics of patients with newly diagnosed HF is essential for improving care and outcomes. The AMSTERDAM-HF study is aimed to examine the population characteristics of patients with incident HF.

METHODS

We performed a retrospective dynamic cohort study in the Amsterdam general practice network consisting of 904,557 individuals. Incidence HF rates, geographical demographics, patient characteristics, risk factors, symptoms prior to HF diagnosis, and prognosis were reported.

RESULTS

The study identified 10,067 new cases of HF over 6,816,099 person-years. The median age of patients was 77 years (25th-75th percentile: 66-85), and 48% were male. The incidence rate of HF was 213.44 per 100,000 patient-years, and was higher in male versus female patients (incidence rate ratio: 1.08, 95%-CI:1.04-1.13). Hypertension (men 46.3% and women 55.8%), coronary artery disease (men 36% and women 25%) and diabetes mellitus (men 30.5% and women 26.8%) were the most common risk factors. Dyspnoea and oedema were key reported symptoms prior to HF diagnosis. Survival rates at 10-year follow-up were poor, particularly in men (36.4%) compared to women (39.7%). Incidence rates, comorbidity burden and prognosis were worse in city districts with high ethnic diversity and low socio-economic position.

CONCLUSION

Our study provides insights into incident HF in a contemporary Western European, multi-ethnic, urban population. It highlights notable sex, age, and geographical differences in incidence rates, risk factors, symptoms and prognosis.

Associations of three thermogenic adipokines with metabolic syndrome in obese and non-obese populations from the China plateau: the China Multi-Ethnic Cohort

OBJECTIVES

High altitude exposure decreases the incidence of obesity and metabolic syndrome, but increases the expression of the thermogenic adipokines (leptin, fat cell fatty acid-binding protein (A-FABP) and visfatin). This study investigated the correlation of these adipokines with obesity and metabolic syndrome (MetS) in populations residing in a plateau-specific environment.

DESIGN

Case-control study.

SETTING

We cross-sectionally analysed data from the China Multi-Ethnic Cohort.

PARTICIPANTS

A total of 475 obese (OB, body mass index (BMI)≥28.0 kg/m²) plateau Han people and 475 age, sex and region-matched non-obese (NO, 18.5≤BMI<24.0 kg/m²) subjects were recruited. MetS was defined according to the National Cholesterol Education Program Adult Treatment Panel III guidelines.

PRIMARY AND SECONDARY OUTCOME MEASURES

Data with normal distributions were expressed as the mean (Stanard Deviation, SD), and data with skewed distributions were expressed as the median (Interquartile Range, IQR). The participants were grouped and the rank-sum test, χ² test or t-tests was used for comparing groups. Spearman correlation coefficients were estimated to assess the relationships among leptin, A-FABP, visfatin and the components of MetS in each group.

RESULTS

A-FABP was an independent predictor of OB (OR, 1.207; 95% CI, 1.170 to 1.245; p<0.05), ABSI (OR, 1.035; 95%CI, 1.019 to 1.052; p<0.05) and MetS (OR, 1.035; 95% CI, 1.013 to 1.057; p<0.05). Leptin was an independent predictor of MetS in the NO group. Visfatin was an independent predictor of increased ABSI, but not for OB or MetS.

CONCLUSION

An abnormally elevated plasma A-FABP level, but not leptin or visfatin is a potential risk factor for MetS in high-altitude populations.

Trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest China: a cross-sectional study

OBJECTIVES

This study aimed to determine the changing prevalence of clustering of cardiovascular disease (CVD) risk factors across socioeconomic spectra in rural southwest China.

DESIGN

Data were collected from two waves of cross-sectional health interviews and examinations among individuals aged ≥35 years in rural China. Anthropometric measurements, blood pressure and fasting blood sugar levels were recorded for each participant.

SETTING

This study was conducted in rural Yunnan Province of China.

PARTICIPANTS

8187 individuals in 2011 and 7572 in 2021 consented to participate in this study.

RESULTS

From 2011 to 2021, prevalence increased of hypertension (26.1% vs 41.6%), diabetes mellitus (5.9% vs 9.8%), obesity (5.9% vs 12.0%) and central obesity (50.0% vs 58.3%) (p<0.01), while prevalence decreased of current smoking (35.2% vs 29.6%), secondhand smoke exposure (42.6% vs 27.4%) and current drinking (26.6% vs 29.6%) (p<0.01). This decade also saw an increase in the prevalence of participants with clustering of ≥2 (61.8% vs 63.0%) and ≥3 CVD risk factors (28.4% vs 32.2%) (p<0.05). These increasing rates were also observed among subgroups categorised by sex, ethnicity, education level, income level and those ≥45 years of age (p<0.05). In both 2011 and 2021, male participants and participants with a lower education level had higher prevalence of clustering of ≥2 and ≥3 CVD risk factors than their counterparts (p<0.01). Ethnic minority participants and participants with higher annual income had higher prevalence of clustering of CVD risk factors in 2011 but presented opposite associations in 2021 (p<0.01).

CONCLUSION

The prevalence of clustering of CVD risk factors increased substantially across all socioeconomic spectra in rural southwest China from 2011 to 2021. Future efforts to implement comprehensive lifestyle interventions to promote the prevention and control of CVD should in particular focus on men, those of Han ethnicity and those with low socioeconomic status.

Cardiovascular Risk Estimation Based on Country-of-Birth- and Country-of-Residence-Specific Scores among Migrants in the Netherlands: The HELIUS Study

BACKGROUND

Regional and country-specific cardiovascular risk algorithms have been developed to improve CVD risk prediction. But it is unclear whether migrants' country-of-residence or country-of-birth algorithms agree in stratifying the CVD risk of these populations. We evaluated the risk stratification by the different algorithms, by comparing migrant country-of-residence-specific scores to migrant country-of-birth-specific scores for ethnic minority populations in the Netherlands.

METHOD

data from the HELIUS study was used in estimating the CVD risk scores for participants using five laboratory-based (Framingham, Globorisk, Pool Cohort Equation II, SCORE II, and WHO II) and three nonlaboratory-based (Framingham, Globorisk, and WHO II) risk scores with the risk chart for the Netherlands. For the Globorisk, WHO II, and SCORE II risk scores, we also computed the risk scores using risk charts specified for the migrant home country. Risk categorization was first done according to the specification of the risk algorithm and then simplified to low (green), moderate (yellow and orange), and high risk (red).

RESULTS

we observed differences in risk categorization for different risk algorithms ranging from 0% (Globorisk) to 13% (Framingham) for the high-risk category, as well as differences in the country-of-residence- and country-of-birth-specific scores. Agreement between different scores ranged from none to moderate. We observed a moderate agreement between the Netherlands-specific SCORE II and the country-of-birth SCORE II for the Turkish and a nonagreement for the Dutch Moroccan population.

CONCLUSION

disparities exist in the use of the country-of-residence-specific, as compared to the country-of-birth, risk algorithms among ethnic minorities living in the Netherlands. Hence, there is a need for further validation of country-of-residence- and country-of-birth-adjusted scores to ascertain appropriateness and reliability.

SCORE2 cardiovascular risk prediction models in an ethnic and socioeconomic diverse population in the Netherlands: an external validation study

BACKGROUND

Socioeconomic status and ethnicity are not explicitly incorporated as risk factors in the four SCORE2 cardiovascular disease (CVD) risk models developed for country-wide implementation across Europe (low, moderate, high and very-high model). The aim of this study was to evaluate the performance of the four SCORE2 CVD risk prediction models in an ethnic and socioeconomic diverse population in the Netherlands.

METHODS

The SCORE2 CVD risk models were externally validated in socioeconomic and ethnic (by country of origin) subgroups, from a population-based cohort in the Netherlands, with GP, hospital and registry data. In total 155,000 individuals, between 40 and 70 years old in the study period from 2007 to 2020 and without previous CVD or diabetes were included. Variables (age, sex, smoking status, blood pressure, cholesterol) and outcome first CVD event (stroke, myocardial infarction, CVD death) were consistent with SCORE2.

FINDINGS

6966 CVD events were observed, versus 5495 events predicted by the CVD low-risk model (intended for use in the Netherlands). Relative underprediction was similar in men and women (observed/predicted (OE-ratio), 1.3 and 1.2 in men and women, respectively). Underprediction was larger in low socioeconomic subgroups of the overall study population (OE-ratio 1.5 and 1.6 in men and women, respectively), and comparable in Dutch and the combined "other ethnicities" low socioeconomic subgroups. Underprediction in the Surinamese subgroup was largest (OE-ratio 1.9, in men and women), particularly in the low socioeconomic Surinamese subgroups (OE-ratio 2.5 and 2.1 in men and women). In the subgroups with underprediction in the low-risk model, the intermediate or high-risk SCORE2 models showed improved OE-ratios. Discrimination showed moderate performance in all subgroups and the four SCORE2 models, with C-statistics between 0.65 and 0.72, similar to the SCORE2 model development study.

INTERPRETATION

The SCORE 2 CVD risk model for low-risk countries (as the Netherlands are) was found to underpredict CVD risk, particularly in low socioeconomic and Surinamese ethnic subgroups. Including socioeconomic status and ethnicity as predictors in CVD risk models and implementing CVD risk adjustment within countries is desirable for adequate CVD risk prediction and counselling.

FUNDING

Leiden University Medical Centre and Leiden University.

Diverse associations between adiposity and blood pressure among 80,000 multi-ethnic Chinese adults

BACKGROUND

Adiposity is widely recognized as one of the risk factors for high blood pressure (BP) and increasing adiposity is associated with elevated BP. However, which measures of adiposity could be most strongly associated with BP in multi-ethnic population remains uncertain, giving rise to implications that population-based adiposity measures could be necessary.

METHODS

80,000 multi-ethnic adults recruited from 5 provinces across Southwest China during 2018 ~ 2019 were studied. Multiple linear regression was applied to investigate the associations of systolic blood pressure (SBP) with: (1) two measures of general adiposity, body mass index (BMI) and height-adjusted weight; and (2) three measures of central adiposity, waist circumference (WC), hip circumference (HC) and waist hip ratio (WHR).

RESULTS

Two distinct population-specific patterns were identified, as "BMI to SBP" and "WC to SBP". 90% of the participants fall into "BMI to SBP" pattern, in which the associations of SBP with BMI were independent of WC, and SBP-WC associations were considerably decreased by adjustment for BMI. And in this pattern, 10 kg/m² greater BMI was associated with 11.9 mm Hg higher SBP on average. As for the rest population (Han males in Yunnan and Tibetans in Lhasa), they are suited for "WC to SBP" pattern, 10 cm wider WC was associated with 3.4 mm Hg higher SBP.

CONCLUSION

Our results indicated that when selecting proper predictors for BP, population-specific adiposity measures are needed, considering ethnicity, sex and residing regions. A better understanding of adiposity and BP may better contribute to the potential clinical practices and developing precision application strategies.

Differences in the risk of cardiovascular disease across ethnic groups: UK Biobank observational study

BACKGROUND AND AIMS

To describe sociodemographic, lifestyle, environmental and traditional clinical risk factor differences between ethnic groups and to investigate the extent to which such differences confound the association between ethnic groups and the risk of cardiovascular disease (CVD) METHODS AND RESULTS: A total of 440,693 white European (55.9% women), 7305 South Asian (48.6%) and 7628 black African or Caribbean (57.7%) people were included from UK Biobank. Associations between ethnicity and cardiovascular outcomes (composite of non-fatal stroke, non-fatal myocardial infarction and CVD death) were explored using Cox-proportional hazard models. Models were adjusted for sociodemographic, lifestyle, environmental and clinical risk factors. Over a median (IQR) of 12.6 (11.8, 13.3) follow-up years, there were 22,711 (5.15%) cardiovascular events in white European, 463 (6.34%) in South Asian and 302 (3.96%) in black African or Caribbean individuals. For South Asian people, the cardiovascular hazard ratio (HR) compared to white European people was 1.28 (99% CI [1.16, 1.43]). For black African or Caribbean people, the HR was 0.80 (0.66, 0.97). The elevated risk of CVD in South Asians remained after adjusting for differences in sociodemographic, lifestyle, environmental and clinical factors, whereas the lower risk in black African or Caribbean was largely attenuated.

CONCLUSIONS

South Asian, but not black African or Caribbean individuals, have a higher risk of CVD compared to white European individuals. This higher risk in South Asians was independent of sociodemographic, lifestyle, environmental and clinical factors.

The contribution of obesity to the population burden of high metabolic cardiovascular risk among different ethnic groups. The HELIUS study

BACKGROUND

The burden of cardiovascular risk is distributed unequally between ethnic groups. It is uncertain to what extent this is attributable to ethnic differences in general and abdominal obesity. Therefore, we studied the contribution of general and abdominal obesity to metabolic cardiovascular risk among different ethnic groups.

METHODS

We used data of 21 411 participants of Dutch, South-Asian Surinamese, African-Surinamese, Ghanaian, Turkish or Moroccan origin in Healthy Life in an Urban Setting (Amsterdam, the Netherlands). Obesity was defined using body-mass-index (general) or waist-to-height-ratio (abdominal). High metabolic risk was defined as having at least two of the following: triglycerides ≥1.7 mmol/l, fasting glucose ≥5.6 mmol/l, blood pressure ≥130 mmHg systolic and/or ≥85 mmHg diastolic and high-density lipoprotein cholesterol <1.03 mmol/l (men) or <1.29 mmol/l (women).

RESULTS

Among ethnic minority men, age-adjusted prevalence rates of high metabolic risk ranged from 32 to 59% vs. 33% among Dutch men. Contributions of general obesity to high metabolic risk ranged from 7.1 to 17.8%, vs. 10.1% among Dutch men, whereas contributions of abdominal obesity ranged from 52.1 to 92.3%, vs. 53.9% among Dutch men. Among ethnic minority women, age-adjusted prevalence rates of high metabolic risk ranged from 24 to 35% vs. 12% among Dutch women. Contributions of general obesity ranged from 14.6 to 41.8%, vs. 20% among Dutch women, whereas contributions of abdominal obesity ranged from 68.0 to 92.8%, vs. 72.1% among Dutch women.

CONCLUSIONS

Obesity, especially abdominal obesity, contributes significantly to the prevalence of high metabolic cardiovascular risk. Results suggest that this contribution varies substantially between ethnic groups, which helps explain ethnic differences in cardiovascular risk.

Basic types of the first-day glycemia in acute myocardial infarction: Prognostic, diagnostic, threshold and target glycemia

We described the importance of stress hyperglycemia (SH) in critical illnesses and their evaluation in the emergency department (ED) and coronary care unit (CCU). Hyperglycemia is found in over half of the patients with suspected acute myocardial infarction (AMI). SH can be used for several purposes in AMI. Receiver operating characteristic curves are needed to find optimal cut-offs to divide blood glucose levels associated with good from bad prognosis in AMI. There is a need for a consensus for pragmatic classification of first day glycemia in order to be useful in a busy ED and CCU.

Estimating Reductions in Ethnic Inequalities in Child Adiposity from Hypothetical Diet, Screen Time, and Sports Participation Interventions

BACKGROUND

Childhood obesity is a global epidemic, and its prevalence differs by ethnicity. The objective of this study was to estimate the change in ethnic inequalities in child adiposity at age 10 resulting from interventions on diet at age 8 and screen time and sports participation at age 9.

METHODS

We conducted a population-based cohort study, the Generation R Study, from 9,749 births in Rotterdam (2002-2006), of which 9,506 children remained in the analysis. We measured ethnicity, diet, screen time, and sports participation through questionnaires; we measured weight, body mass index (BMI), fat mass index, and fat-free mass index directly. We used sequential G-estimation to estimate the reduction in inequality that would result from the interventions.

RESULTS

We observed that sociodemographic characteristics, diet, screen time, sports participation, and all adiposity measurements were more favorable in children from Western versus non-Western ethnic backgrounds: weight = -1.2 kg (95% confidence interval [CI] = -1.7, -0.8), BMI = -1.0 kg/m (CI = -1.2, -0.9), and fat mass index = -0.8 kg/m (CI = -0.9, -0.7). We estimated that extreme intervention (maximum diet score of 10, no screen time, and >4 hours/week of sports) reduced ethnic inequalities by 21% (CI = 8%, 35%) for weight, 9% (CI = 4%, 14%) for BMI, and 9% (CI = 6%, 13%) for fat mass index. A diet score ≥5 points, screen time ≤2 hours/day, and sports participation >2 hours/week reduced ethnic inequalities by 17% (CI = 6%, 28%) for weight, 7% (CI = 3%, 11%) for BMI, and 7% (CI = 4%, 10%) for fat mass index.

CONCLUSIONS

Our results are consistent with the hypothesis that interventions integrating diet, screen time, and sports participation have a moderate impact on reducing ethnic inequalities in child adiposity.

Intercultural mediators in Belgian hospitals: Demographic and professional characteristics and work experiences

OBJECTIVE

To investigate the 1) socio-demographic characteristics, 2) working environment, 3) tasks and responsibilities and 4) work experiences of intercultural mediators (IMs) working in Belgian hospitals.

METHODS

Cross-sectional quantitative survey among all IMs working in Flemish and Brussels hospitals (n = 66). Data were descriptively analyzed. Meaningful associations between variables were also studied.

RESULTS

Most IMs are young women from first- and second-generation migrant groups with different levels of education. They work under different superiors and most IMs are not employed full-time. They work mainly with patients from their own ethnic group. Mostly they intervene directly in daily intercultural communication, as per their official task description, but they also perform other tasks, such as offering support to patients/families/staff/management. IMs would prefer more of the tasks they perform to be formalized. Furthermore, they want to have policy-making responsibilities. IMs have positive and negative work experiences, e.g. working overtime.

CONCLUSIONS

IMs' socio-demographic characteristics (ethnic origin - sex - education) and official task description is only adapted to needs in the workplace to a limited extent. Furthermore, intercultural mediation is poorly integrated into hospitals' organizational structure.

PRACTICE IMPLICATIONS

Different measures are needed, including tailored education and offering IMs enough organizational support and policy responsibilities.

Ethnic disparities in prevalence and clustering of cardiovascular disease risk factors in rural Southwest China

Background

This study examines how prevalence and clustering of cardiovascular disease (CVD) risk factors differ by ethnicity and socioeconomic status (SES) among rural southwest Chinese adults.

Methods

A cross-sectional survey of 7027 adults aged ≥35 years of Han and four ethnic minority group descent (Na Xi, Li Shu, Dai, and Jing Po) was used to derive prevalence of tobacco smoking and exposure to secondhand smoke (SHS) as well as alcohol consumption and physical activity data. Anthropometric measurements were also taken, including height, weight, and waist and hip circumference, as well as blood pressure (BP) and fasting blood glucose (FBG) measurements.

Results

Current smoking and drinking status were the top two CVD risk factors in the study population. Dai ethnic minority participants had the highest prevalence of hypertension, obesity, and central obesity, whereas Jing Po ethnic minority participants had the highest prevalence of current smoking status, SHS exposure, and current drinking status (P < 0.01). Han participants had the highest prevalence of diabetes and physical inactivity (P < 0.01). 11.1% of all participants did not have any of the studied CVD risk factors, while 68.6% of Han, 60.2% of Na Xi, 50.7% of Li Shu, 82.2% of Dai, and 73.0% of Jing Po participants had clustering of two or more CVD risk factors. Prevalence of CVD risk factor clusters increased with age (P < 0.01). Males and individuals with lower education levels and lower annual household income were more likely to have CVD risk factors than their counterparts (P < 0.01).

Conclusion

Clustering of CVD risk factors is common in rural southwest China. Ethnicity and individual SES significantly impact prevalence of CVD risk factors and their clustering.

Eligibility for cardiovascular risk screening among different ethnic groups: The HELIUS study

BACKGROUND

Ethnic differences in the age-of-onset of cardiovascular risk factors may necessitate ethnic-specific age thresholds to initiate cardiovascular risk screening. Recent European recommendations to modify cardiovascular risk estimates among certain ethnic groups may further increase this necessity.

AIMS

To determine ethnic differences in the age to initiate cardiovascular risk screening, with and without implementation of ethnic-specific modification of estimated cardiovascular risk.

METHODS

We included 18,031 participants of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish and Moroccan background from the HELIUS study (Amsterdam). Eligibility for cardiovascular risk screening was defined as being eligible for blood pressure-lowering treatment, based on a combination of systolic blood pressure, estimated cardiovascular risk, and ethnic-specific conversion of estimated cardiovascular risk as recommended by European cardiovascular disease prevention guidelines. Age-specific proportions of eligibility were determined and compared between ethnic groups via logistic regression analyses.

RESULTS

Dutch men reached the specified threshold to initiate cardiovascular risk screening (according to Dutch guidelines) at an average age of 51.5 years. Among ethnic minority men, this age ranged from 39.8 to 52.4. Among Dutch women, the average age threshold was 53.4. Among ethnic minority women, this age ranged from 36.8 to 49.1. Age-adjusted odds of eligibility were significantly higher than in the Dutch among all subgroups, except among Moroccan men. Applying ethnic-specific conversion factors had minimal effect on the age to initiate screening in all subgroups.

CONCLUSIONS

Most ethnic minority groups become eligible for blood pressure-lowering treatment at a lower age and may therefore benefit from lower age-thresholds to initiate cardiovascular risk screening.

Estimation of cardiovascular risk based on total cholesterol versus total cholesterol/high-density lipoprotein within different ethnic groups: The HELIUS study

Aims

European guidelines recommend estimating cardiovascular disease risk using the Systematic COronary Risk Evaluation (SCORE) algorithm. Two versions of SCORE are available: one based on the total cholesterol/high-density lipoprotein cholesterol ratio, and one based on total cholesterol alone. Cardiovascular risk classification between the two algorithms may differ, particularly among ethnic minority groups with a lipid profile different from the ethnic majority groups among whom the SCORE algorithms were validated. Thus in this study we determined whether discrepancies in cardiovascular risk classification between the two SCORE algorithms are more common in ethnic minority groups relative to the Dutch.

Methods

Using HELIUS study data (Amsterdam, The Netherlands), we obtained data from 7572 participants without self-reported prior cardiovascular disease of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish and Moroccan ethnic origin. For both SCORE algorithms, cardiovascular risk was estimated and used to categorise participants as low (<1%), medium (1–5%), high (5–10%) or very high (≥10%) risk. Odds of differential cardiovascular risk classification were determined by logistic regression analyses.

Results

The percentage of participants classified differently between the algorithms ranged from 8.7% to 12.4% among ethnic minority men versus 11.4% among Dutch men, and from 1.9% to 5.5% among ethnic minority women versus 6.2% among Dutch women. Relative to the Dutch, only Turkish and Moroccan women showed significantly different (lower) odds of differential cardiovascular risk classification.

Conclusion

We found no indication that discrepancies in cardiovascular risk classification between the two SCORE algorithms are consistently more common in ethnic minority groups than among ethnic majority groups.

Ethnic differences in metabolic cardiovascular risk among normal weight individuals: Implications for cardiovascular risk screening. The HELIUS study

BACKGROUND AND AIMS

Cardiovascular disease (CVD) risk factors may occur among a substantial proportion of normal weight individuals, particularly among some ethnic minorities. It is unknown how many of these individuals would be missed by commonly applied eligibility criteria for cardiovascular risk screening. Thus, we aim to determine cardiovascular risk and eligibility for cardiovascular risk screening among normal weight individuals of different ethnic backgrounds.

METHODS AND RESULTS

Using the HELIUS study (Amsterdam, The Netherlands), we determined cardiovascular risk among 6910 normal weight individuals of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Moroccan and Turkish background. High cardiovascular risk was approximated by high metabolic risk based on blood pressure, HDL, triglycerides and fasting glucose. Eligibility criteria for screening were derived from Dutch CVD prevention guidelines and include age ≥ 50 y, family history of CVD, or current smoking. Ethnic group comparisons were made using logistic regression. Age-adjusted proportions of high metabolic risk ranged from 12.6% to 38.4% (men) and from 2.7% to 11.5% (women). This prevalence was higher among most ethnic minorities than the Dutch, especially among women. For most ethnic groups, 79.9%-86.7% of individuals with high metabolic risk were eligible for cardiovascular risk screening. Exceptions were Ghanaian women (58.8%), Moroccan men (70.9%) and Moroccan women (45.0%), although age-adjusted proportions did not differ between groups.

CONCLUSION

Even among normal weight individuals, high cardiovascular metabolic risk is more common among ethnic minorities than among the majority population. Regardless of ethnicity, most normal weight individuals with increased risk are eligible for cardiovascular risk screening.