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.

Ethnic disparities in educational and occupational gradients of estimated cardiovascular disease risk: The Healthy Life in an Urban Setting study.

BACKGROUND: European societies are becoming increasingly ethnically diverse. This may have important implications for socio-economic inequalities in health due to the often disadvantaged position of ethnic minority groups in both socio-economic status (SES) and disease, especially cardiovascular disease (CVD). OBJECTIVE: The aim of this study was to determine whether the socio-economic gradient of estimated CVD risk differs between ethnic groups. METHODS: Using the Healthy Life in an Urban Setting study, we obtained data on SES and CVD risk factors among participants from six ethnic backgrounds residing in Amsterdam. SES was measured using educational level and occupational level. CVD risk was estimated based on the occurrence of CVD risk factors using the Dutch version of the systematic coronary risk evaluation algorithm. Ethnic disparities in socio-economic gradients for estimated CVD risk were determined using the relative index of inequality (RII). RESULTS: Among Dutch-origin men, the RII for estimated CVD risk according to educational level was 6.15% (95% confidence interval [CI] 4.35-7.96%), indicating that those at the bottom of the educational hierarchy had a 6.15% higher estimated CVD risk relative than those at the top. Among Dutch-origin women, the RII was 4.49% (CI 2.45-6.52%). The RII was lower among ethnic minority groups, ranging from 0.83% to 3.13% among men and -0.29% to 5.12% among women, indicating weaker associations among these groups. Results were similar based on occupational level. CONCLUSIONS: Ethnic background needs to be considered in associations between SES and disease. The predictive value of SES varies between ethnic groups and may be quite poor for some groups.

Gender-related characteristics and disparities in estimated cardiovascular disease risk in a multi-ethnic general population: The HELIUS study.

BACKGROUND: Differences in cardiovascular disease (CVD) risk between men and women have been widely reported. However, risk differences by gender-related characteristics (sociocultural characteristics) have been poorly studied, although these characteristics may associate with cardiovascular health. We explored associations of three gender-related characteristics with estimated CVD risk in men and women within various ethnic groups. METHODS: We used baseline data of 9185 participants of six ethnic groups of the HELIUS study (Amsterdam, the Netherlands), aged 40-65 years, without CVD and diabetes. We studied the associations of three gender-related characteristics (time per week doing household work, primary earner status, performing a male- or female-dominated occupation) with CVD risk as estimated with SCORE algorithm using linear regression analyses. Analyses were stratified by sex, and adjusted for age and socioeconomic status. Next, we explored whether associations differed across ethnic groups. RESULTS: Individuals who were no primary earners had a 6% (beta 0.94; 95% CI 0.88-1.01; men) and 8% (beta 0.92; 95% CI 0.90-0.95; women) lower CVD risk than primary earners. Performing a female-dominated versus male-dominated occupation was associated with a 7% lower CVD risk in women (beta 0.93; 95% CI 0.88-0.99), but not in men. Time spent on household work was not associated with CVD risk. These associations were mostly consistent across ethnic groups. CONCLUSION: Masculine gender-related characteristics were associated with a higher estimated CVD risk across ethnic groups, specifically, being the primary earner (men and women) and performing a male-dominated occupation (women). Our findings may in future help to identify specific high-risk groups.

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.

Increased cardiovascular disease risk in international migrants is independent of residence duration or cultural orientation: the HELIUS study.

BACKGROUND: International migrants differ from host populations in cardiovascular disease (CVD) risk. It has been postulated that these disparities narrow with longer residence duration. Our aim was to determine whether CVD risk still differs between migrants and host population after decades of residence and to determine whether this potential convergence of CVD risk would occur mainly among migrants with a strong cultural orientation towards the host culture. METHODS: In the Healthy Life in an Urban Setting study, we obtained data regarding residence duration, cultural orientation as estimated by the Psychological Acculturation Scale and CVD risk as estimated by SCORE among the Dutch host population and first generation migrants from South-Asian Surinamese, African Surinamese, Moroccan and Turkish ethnic background residing in Amsterdam. Estimated CVD risk was compared with the Dutch, separately for medium-term residence (15-30 years) or long-term residence (>30 years) migrants, and by strong/weak cultural orientation towards the Dutch culture, using age-adjusted regression analyses. RESULTS: Among 8672 participants without prior CVD, estimated CVD risk was higher among migrant groups relative to the Dutch. CVD risk relative to the Dutch did not differ by residence duration (betas ranging from 0.1 to 3.4 for medium-term and from 0.6 to 3.3 for long-term residence, respectively). Furthermore, these patterns did not differ by cultural orientation towards the Dutch culture. CONCLUSION: We find no indication that CVD risk among South-Asian Surinamese, African Surinamese, Turkish or Moroccan migrants converges to that of the Dutch host population with increasing residence duration, not even among those with strong cultural orientation towards the host culture.

Ethnic disparities in treatment rates for hypertension and dyslipidemia: an analysis by different treatment indications: the Healthy Life in an Urban Setting study.

BACKGROUND: Studies have reported ethnic disparities in treatment rates for cardiovascular risk factors. These studies are generally based on treatment indications defined by individual cardiovascular risk factors (ICRF). However, according to most European guidelines, preventive treatment for these risk factors is recommended only among those with sufficient overall cardiovascular risk (OCR). OBJECTIVE: To determine ethnic disparities in treatment rates for hypertension and dyslipidemia among those with an indication for treatment based on ICRF and OCR. METHODS: Using data of the HELIUS study, we determined the occurrence of cardiovascular risk factors and treatment rates among 11 357 participants from six ethnic backgrounds living in Amsterdam. Via logistic regression analyses, we determined ethnic differences in blood pressure (BP)-lowering or lipid-lowering treatment rates among those needing treatment based on ICRF (BP >140 mmHg and LDL >2.5 mmol/l, respectively) and on OCR (estimated overall 10-year cardiovascular disease risk according to SCORE). RESULTS: Relative to the Dutch, ethnic minority men showed higher treatment rates for hypertension and dyslipidemia, regardless of whether OCR of ICRF recommendations for treatment were used. Ethnic minority women showed similar treatment rates relative to the Dutch based on OCR, but higher treatment rates based on ICRF recommendations (e.g. odds ratios for antihypertensive treatment ranged from 0.93 to 1.75 and from 1.26 to 1.93, respectively). CONCLUSION: Treatment rates for hypertension and dyslipidemia are not lower among ethnic minority groups relative to the Dutch. In some cases, they are even higher, but these differences may be overestimated whenever using ICRF as treatment indication.

Prevalence of depressive symptoms among patients with a chronic nonspecific lung disease in five ethnic minority groups.

OBJECTIVE: Earlier studies found chronic nonspecific lung disease (CNSLD) to be associated with depressive symptoms. We aimed to assess whether the association between CNSLD and depressive symptoms varies between ethnic groups. METHODS: We used questionnaire data from 10916 participants of the HELIUS study in Amsterdam from six different ethnic groups. We applied logistic regression analysis to determine the association between CNSLD and depressive symptoms and interaction terms to test whether this association varied between ethnic groups. RESULTS: CNSLD prevalence was higher among South-Asian Surinamese, Turkish and Moroccans (10.1% to 12.5%) than African Surinamese, Dutch and Ghanaians (4.8% to 6.3%). The prevalence of depressive symptoms was higher among participants with CNSLD (28.4% vs. 13.7%). This association was not significantly different between ethnic groups. The absolute prevalence of depressive symptoms was higher among the CNSLD patients from ethnic minority groups (19.2 % to 35.6%) as compared with the Dutch-origin majority group (11.2%). CONCLUSIONS: CNSLD is associated with a high risk of depressive symptoms, especially among the five ethnic minority groups. These results imply a need to monitor the mental health of CNSLD patients in particular when a patient is from an ethnic minority group.