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Summary Background Sex-specific body mass index (BMI) and waist circumference (WC) cut-off values have been validated for a limited number of ethnic groups. We aimed to derive these cut-off values for Amerindians, Creoles, Hindustani, Javanese, Maroons and Mixed living in Suriname. Methods Data from individuals aged 20–65, in the Suriname Health Study was used to derive optimal cut-off values for BMI and WC for the prediction of hypertension (n = 4910) and cardio-metabolic risk (n = 2924). Results from the analysis with Receiver Operating Curves were calculated and compared these with recommended values. Results The area under the ROC curve was consistently higher for WC compared to BMI among Creoles, Hindustani, Maroons and Mixed. The BMI cut-off values ranged from 24.8 kg/m 2 for Creole men and 26.9 kg/m 2 for Maroon women to 28.4 kg/m 2 and 30.2 kg/m 2 for Amerindian men and women, respectively. The WC cut-off values ranged from 80.7 cm for Maroon men, 86.7 cm for Javanese women to 90.8 cm for Hindustani men and 95.7 cm for Amerindian women. Optimal BMI cut-off values approximated Asian cut-off values from the World Health Organization whilst those of WC for men approximated and for women exceeded cut-off values from the International Diabetes Federation. Conclusion In most ethnic groups, we found better discriminatory power for WC compared to BMI in the relation with cardiovascular risk factors. The estimated BMI and WC cut-off values differed between ethnic groups. Further studies are needed to identify cut-off values related to the future risk of cardiovascular disease and mortality. [ABSTRACT FROM AUTHOR]

Background: Limited information is available about the prevalence, ethnic disparities, and risk factors of hypertension within developing countries. We used data from a nationwide study on non-communicable disease (NCD) risk factors to estimate, explore, and compare the prevalence of hypertension overall and in subgroups of risk factors among different ethnic groups in Suriname. Method: The Suriname Health Study used the World Health Organization Steps design to select respondents with a stratified multistage cluster sample of households. The overall and ethnic specific prevalences of hypertension were calculated in general and in subgroups of sex, age, marital status, educational level, income status, employment, smoking status, residence, physical activity, body mass index (BMI), and waist circumference (WC). Differences in the prevalence between ethnic subgroups were assessed using the Chi-square test. We used several adjustment models to explore whether the observed ethnic differences were explained by biological, demographic, lifestyle, or anthropometric risk factors. Results: The prevalence of hypertension was 26.2 % (95 % confidence interval 25.1 %-27.4 %). Men had higher mean values for systolic and diastolic blood pressure compared to women. Blood pressure increased with age. The prevalence was highest for Creole, Hindustani, and Javanese and lowest for Amerindians, Mixed, and Maroons. Differences between ethnic groups were measured in the prevalence of hypertension in subcategories of sex, marital status, education, income, smoking, physical activity, and BMI. The major difference in association of ethnic groups with hypertension was between Hindustani and Amerindians. Conclusion: The prevalence of hypertension in Suriname was in the range of developing countries. The highest prevalence was found in Creoles, Hindustani, and Javanese. Differences in the prevalence of hypertension were observed between ethnic subgroups with biological, demographic, lifestyle, and anthropometric risk factors. These findings emphasize the need for ethnic-specific research and prevention and intervention programs. [ABSTRACT FROM AUTHOR]

Background: Noncommunicable diseases (NCDs) are the leading cause of death in low- and middle-income countries. Therefore, the surveillance of risk factors has become an issue of major importance for planning and implementation of preventive measures. Unfortunately, in these countries data on NCDs and their risk factors are limited. This also prevails in Suriname, a middle-income country of the Caribbean, with a multiethnic/multicultural population living in diverse residential areas. For these reasons, "The Suriname Health Study" was designed. Objective: The main objective of this study is to estimate the prevalence of NCD risk factors, including metabolic syndrome, hypertension, and diabetes in Suriname. Differences between specific age groups, sexes, ethnic groups, and geographical areas will be emphasized. In addition, risk groups will be identified and targeted actions will be designed and evaluated. Methods: In this study, several methodologies were combined. A stratified multistage cluster sample was used to select the participants of 6 ethnic groups (Hindustani, Creole, Javanese, Maroon, Chinese, Amerindians, and mixed) divided into 5 age groups (between 15 and 65 years) who live in urban/rural areas or the hinterland. A standardized World Health Organization STEPwise approach to surveillance questionnaire was adapted and used to obtain information about demographic characteristics, lifestyle, and risk factors. Physical examinations were performed to measure blood pressure, height, weight, and waist circumference. Biochemical analysis of collected blood samples evaluated the levels of glucose, high-density-lipoprotein cholesterol, total cholesterol, and triglycerides. Statistical analysis will be used to identify the burden of modifiable and unmodifiable risk factors in the aforementioned subgroups. Subsequently, tailor-made interventions will be prepared and their effects will be evaluated. Results: The data as collected allow for national inference and valid analysis of the age, sex, and ethnicity subgroups in the Surinamese population. A publication of the basic survey results is anticipated in mid-2015. Secondary results on the effect of targeted lifestyle interventions are anticipated in late 2017. Conclusions: Using the data collected in this study, the national prevalence of NCD risk factors will be approximated and described in a diverse population. This study is an entry point for formulating the structure of NCD prevention and surveillance. [ABSTRACT FROM AUTHOR]

Objective: To examine ethnic disparities in maternal prepregnancy obesity and gestational weight gain, and to examine to which extent these differences can be explained by socio-demographic, lifestyle and pregnancy related characteristics.Methods: In a multi-ethnic population-based prospective cohort study among 6444 pregnant women in Rotterdam, the Netherlands, maternal anthropometrics were repeatedly measured throughout pregnancy. Ethnicity, socio-demographic, lifestyle and pregnancy related characteristics were assessed by physical examinations and questionnaires.Results: The prevalence of prepregnancy overweight and obesity was 23.1% among Dutch-origin women. Statistically higher prevalences were observed among Dutch Antillean-origin (40.8%), Moroccan-origin (49.9%), Surinamese-Creole-origin (38.6%) and Turkish-origin (41.1%) women (all p-values <0.05). Only Dutch Antillean-origin, Moroccan-origin, Surinamese-Creole-origin and Turkish-origin women had higher risks of maternal prepregnancy overweight and obesity as compared to Dutch-origin women (p-values <0.05). Socio-demographic and lifestyle related characteristics explained up to 45% of the ethnic differences in body mass index. Compared to Dutch-origin women, total gestational weight gain was lower in all ethnic minority groups, except for Cape Verdean-origin and Surinamese-Creole-origin women (p-values <0.05). Lifestyle and pregnancy related characteristics explained up to 33% and 40% of these associations, respectively. The largest ethnic differences in gestational weight gain were observed in late pregnancy.Conclusion: We observed moderate ethnic differences in maternal prepregnancy overweight, obesity and gestational weight gain. Socio-demographic, lifestyle and pregnancy related characteristics partly explained these differences. Whether these differences also lead to ethnic differences in maternal and childhood outcomes should be further studied. [ABSTRACT FROM AUTHOR]

Objective: In this study, we investigated the influence of ancestry on dental development in the Generation R Study., Methods: Information on geographic ancestry was available in 3,600 children (1,810 boys and 1,790 girls, mean age 9.81 ± 0.35 years) and information about genetic ancestry was available in 2,786 children (1,387 boys and 1,399 girls, mean age 9.82 ± 0.34 years). Dental development was assessed in all children using the Demirjian method. The associations of geographic ancestry (Cape Verdean, Moroccan, Turkish, Dutch Antillean, Surinamese Creole and Surinamese Hindustani vs Dutch as the reference group) and genetic content of ancestry (European, African or Asian) with dental development was analyzed using linear regression models., Results: In a geographic perspective of ancestry, Moroccan (β = 0.18; 95% CI: 0.07, 0.28), Turkish (β = 0.22; 95% CI: 0.12, 0.32), Dutch Antillean (β = 0.27; 95% CI: 0.12, 0.41), and Surinamese Creole (β = 0.16; 95% CI: 0.03, 0.30) preceded Dutch children in dental development. Moreover, in a genetic perspective of ancestry, a higher proportion of European ancestry was associated with decelerated dental development (β = -0.32; 95% CI: -.44, -.20). In contrast, a higher proportion of African ancestry (β = 0.29; 95% CI: 0.16, 0.43) and a higher proportion of Asian ancestry (β = 0.28; 95% CI: 0.09, 0.48) were associated with accelerated dental development. When investigating only European children, these effect estimates increased to twice as large in absolute value., Conclusion: Based on a geographic and genetic perspective, differences in dental development exist in a population of heterogeneous ancestry and should be considered when describing the physiological growth in children., (© 2017 The Authors American Journal of Physical Anthropology Published by Wiley Periodicals, Inc.)

Background: The metabolic syndrome (MetS) indicates increased risk for cardiovascular disease and type 2 diabetes. We estimated the overall and ethnic-specific prevalence of MetS and explored the associations of risk factors with MetS among Amerindian, Creole, Hindustani, Javanese, Maroon and Mixed ethnic groups., Method: We used the 2009 Joint Interim Statement (JIS) to define MetS in a subgroup of 2946 participants of the Suriname Health Study, a national survey designed according to the WHO Steps guidelines. The prevalences of MetS and its components were determined for all ethnicities. Hierarchical logistic regressions were used to determine the associations of ethnicity, sex, age, marital status, educational level, income status, employment, smoking status, residence, physical activity, fruit and vegetable intake with MetS., Results: The overall estimated prevalence of MetS was 39.2%. From MetS components, central obesity and low high-density lipoprotein cholesterol (HDL-C) had the highest prevalences. The prevalence of MetS was highest for the Hindustanis (52.7%) and lowest for Maroons (24.2%). The analyses showed that in the overall population sex (women: OR 1.4; 95% CI 1.2 to 1.6), age (OR 5.5 CI 4.3 to 7.2), education (OR 0.7 CI 0.6 to 0.9), living area (OR 0.6 CI 0.5 to 0.8), income (OR 0.7 CI 0.5 to 0.9) and marital status (OR 1.3 CI 1.1 to 1.6) were associated with MetS. Variations observed in the associations of the risk factors with MetS in the ethnic groups did not materially influence the associations of ethnicities with MetS., Conclusions: The prevalence of MetS was high and varied widely among ethnicities. Overall, central obesity and low HDL-C contributed most to MetS. Further studies are needed to assess the prospective associations of risk factors with MetS in different ethnic groups., Competing Interests: Conflicts of Interest: None declared., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)

Background: Ethnic differences in childhood and adulthood are known, but ethnic differences in preschool overweight and associated factors are less studied. We assessed ethnic differences in pre-school age overweight, and studied the mediating role of early life factors in this association. Furthermore, we assessed body mass index (BMI) z-score development from birth to age 4 years to study ethnic-specific differences in BMI z-score trajectory., Methods: We used data on 4581 children participating in a birth cohort who were born between 2002 and 2006 in Rotterdam, the Netherlands. Child's ethnicity was defined according to country of birth of the parents. Weight and length/height was repeatedly measured between 1 and 45 months of age. Overweight at age 4 years was defined according to cut-off points for BMI from the international obesity task force. We performed logistic regression to obtain independent estimates of the association between ethnicity and preschool-age overweight, and to assess the mediating role of early life risk factors. Mixed models were used to describe BMI-z development for each ethnic group from birth to preschool age., Results: Relative to native Dutch children, non-Dutch children were more likely to be overweight at age 4 years, except for Surinamese-Hindustani children. Socio-demographic factors, parental BMI, and infant weight change in the first 6 months after birth reduced associations. After full adjustment, Turkish (OR: 2.02, 95% CI: 1.34-3.04) and Antillean/Surinamese Creole (OR: 1.78, 95% CI: 1.06-3.02) children were still more likely to be overweight at age 4 years., Conclusion: Ethnic differences on the prevalence of overweight in preschool children can be partially explained by maternal educational level, parental overweight and early infant weight change. These may be possible targets to reduce ethnic inequalities in preschool age overweight.

Objective: to determine differences in antenatal care use between the native population and different ethnic minority groups in the Netherlands., Design: the Generation R Study is a multi-ethnic population-based prospective cohort study., Setting: seven midwife practices participating in the Generation R Study conducted in the city of Rotterdam., Participants: in total 2093 pregnant women with a Dutch, Moroccan, Turkish, Cape Verdean, Antillean, Surinamese-Creole and Surinamese-Hindustani background were included in this study., Measurements: to assess adequate antenatal care use, we constructed an index, including two indicators; gestational age at first visit and total number of antenatal care visits. Logistic regression analysis was used to assess differences in adequate antenatal care use between different ethnic groups and a Dutch reference group, taking into account differences in maternal age, gravidity and parity., Findings: overall, the percentages of women making adequate use are higher in nulliparae than in multiparae, except in Dutch women where no differences are present. Except for the Surinamese-Hindustani, all women from ethnic minority groups make less adequate use as compared to the native Dutch women, especially because of late entry in antenatal care. When taking into account potential explanatory factors such as maternal age, gravidity and parity, differences remain significant, except for Cape-Verdian women. Dutch-Antillean, Moroccan and Surinamese-Creole women exhibit most inadequate use of antenatal care., Key Conclusions: this study shows that there are ethnic differences in the frequency of adequate use of antenatal care, which cannot be attributed to differences in maternal age, gravidity and parity. Future research is necessary to investigate whether these differences can be explained by socio-economic and cultural factors., Implications for Practise: clinicians should inform primiparous women, and especially those from ethnic minority groups, on the importance of timely antenatal care entry., (Copyright © 2009 Elsevier Ltd. All rights reserved.)

Patterns and correlates of maternal smoking could differ according to ethnic background, and these differences might have consequences for intervention strategies. In the Generation R study, we examined patterns of smoking during pregnancy and the associations of socioeconomic (educational level), demographic (maternal age, marital status, generational status, parity) and lifestyle (alcohol consumption, partner smoking) correlates with smoking during pregnancy in 5,748 women of Dutch, Turkish, Moroccan, Surinamese-Hindustani, Surinamese-Creole, Capeverdean and Antillean ethnic background. Smoking rates before pregnancy were highest in the Turkish group (43.7%) and lowest in the Moroccan group (7.0%). Compared with Dutch women (24.1%), Turkish and Moroccan women were less likely to quit smoking before pregnancy (17.0% and 5.9%, respectively; p<.001). Turkish and Moroccan women (72.0% and 70.6%, respectively) were more likely to continue smoking during pregnancy compared to Dutch women (58.6%, p<.001). Lower education was associated with smoking during pregnancy only in the Dutch group. No significant association of education with smoking was seen in the non-Dutch groups. Second-generation (i.e., foreign-born) Turkish and Capeverdean women were more likely to smoke during pregnancy compared with first-generation women. Partner smoking was associated with smoking during pregnancy in all ethnic groups except for Surinamese-Creole and Antillean. Maternal alcohol consumption was associated with smoking during pregnancy in all ethnic groups except for Capeverdean. Smoking rates and correlates of smoking during pregnancy varied by ethnic background. These observations should be considered when designing maternal smoking prevention and intervention strategies.