Ethnic differences in diabetes, cardiovascular risk factors and health care: the Amsterdam Health Survey of 2004

The prevalence of diabetes in inhabitants of Amsterdam (18 years and older) is 4%. The prevalence of diabetes is three times higher among Turkish people and four times higher among Moroccans in comparison to Dutch people. Turkish diabetes patients have a higher mean body mass index compared to Dutch diabetes patients, but Turkish and Moroccan diabetes patients are admitted to hospital less often than Dutch diabetes patients. It is important for policy makers to know the differences in disease prevalence and health care use between ethnic groups, considering the expected rise in the proportion of immigrants. These results formed contributions to this report that was brought out by the National Institute for Public Health and the Environment and in cooperation with the Amsterdam Health Monitor of the Amsterdam Health Service. Forty-three percent of the 4042 invited Amsterdam inhabitants participated in the study in 2004. Ethnic differences in health and health care use were analyzed for the age group of 18-70 years, standardized for age and gender. Turkish and Moroccan people without diabetes differed from Dutch people without diabetes on many counts. For example, Turkish and Moroccan people were more often overweight and had higher mean blood glucose levels. They visited their general practitioners more often and experienced their own health as being moderate or poor on a more frequent basis. Turkish people without diabetes experienced more serious cardiac problems than Dutch people. The prevalence of cardiovascular risk factors in diabetes patients was high among all ethnic groups. In general, cardiovascular risk factors were more frequent in Turkish diabetes patients, and to a lesser extent in Moroccan diabetes patients, compared to Dutch diabetes patients. Treatment of cardiovascular risk factors in diabetes patients is important for the prevention of or delay in cardiovascular complications.De prevalentie van diabetes bij inwoners van Amsterdam (18 jaar en ouder) wordt geschat op vier procent. Turken en Marokkanen hebben respectievelijk driemaal en viermaal vaker diabetes vergeleken met Nederlanders. Turkse diabeten zijn gemiddeld zwaarder dan Nederlandse diabeten. Turkse en Marokkaanse diabeten worden echter minder vaak opgenomen in een ziekenhuis dan Nederlandse diabeten. Een beschrijving van etniciteitverschillen in het voorkomen van ziekten en zorggebruik is van belang voor het beleid omdat immigranten een steeds groter deel van de bevolking zullen gaan uitmaken. De Amsterdamse Gezondheidsmonitor 2004 is uitgevoerd door de GGD Amsterdam in samenwerking met het RIVM. Drieenveertig procent van 4042 uitgenodigde Amsterdammers (18 jaar en ouder) heeft aan het onderzoek meegedaan. Etnische verschillen in gezondheid en zorg werden geanalyseerd voor de leeftijd 18-70 jaar, gestandaardiseerd naar leeftijd en geslacht. Turken en Marokkanen zonder diabetes verschilden op bijna alle uitkomsten van Nederlanders zonder diabetes. Turken en Marokkanen waren bijvoorbeeld gemiddeld zwaarder dan Nederlanders en zij hadden hogere gemiddelde bloedglucosewaarden. Zij gingen vaker naar de huisarts en waren minder tevreden over de eigen gezondheid. Acht procent van de Turken zonder diabetes heeft ooit een ernstige hartaandoening gehad, dit is bijna viermaal zo vaak als bij Nederlanders zonder diabetes. Risicofactoren voor hart- en vaatziekten kwamen veel voor bij diabeten uit alle etnische groepen. Turkse diabeten, en in mindere mate Marokkaanse diabeten, hadden over het algemeen een ongunstiger risicoprofiel dan Nederlandse diabeten. Behandeling van het risicoprofiel van diabetespatienten is belangrijk om het optreden van complicaties te voorkomen of uit te stellen

Ethnic variation in validity of the estimated obesity prevalence using self-reported weight and height measurements

<p>Abstract</p> <p>Background</p> <p>We examined ethnic differences between levels of body mass index (BMI) based on self-reported and measured body height and weight and the validity of self-reports used to estimate the prevalence of obesity (BMI≥30 kg/m²) in Turkish, Moroccan, and Dutch people in the Netherlands. Furthermore, we investigated whether BMI levels and the prevalence of obesity in Turkish and Moroccan people with incomplete self-reports (missing height or weight) differ from those with complete self-reports.</p> <p>Methods</p> <p>Data on self-reported and measured height and weight were collected in a population-based survey among 441 Dutch, 414 Turks and 344 Moroccans aged 18 to 69 years in Amsterdam, the Netherlands in 2004. BMI and obesity were calculated from self-reported and measured height and weight.</p> <p>Results</p> <p>The difference between measured and estimated BMI was larger in Turkish and Moroccan women than in Dutch women, which was explained by the higher BMI of the Turkish and Moroccan women. In men we found no ethnic differences between measured and estimated BMI. Sensitivity to detect obesity was low and specificity was high. In participants with available self-reported and measured height and weight, self-reports produced a similar underestimation of the obesity prevalence in all ethnic groups. However, many obese Turkish and Moroccan women had incomplete self-reports, missing height or weight, resulting in an additional underestimation of the prevalence of obesity. Among men (all ethnicities) and Dutch women, the availability of height or weight by self-report did not differ between obese and non obese participants.</p> <p>Conclusions</p> <p>BMI based on self-reports is underestimated more by Turkish and Moroccan women than Dutch women, which is explained by the higher BMI of Turkish and Moroccan women. Further, in women, ethnic differences in the estimation of obesity prevalence based on self-reports do exist and are due to incomplete self-reports in obese Turkish and Moroccan women. In men, ethnicity is not associated with discrepancies between levels of BMI and obesity prevalence based on measurements and self-reports. Hence, our results indicate that using measurements to accurately determine levels of BMI and obesity prevalence in public health research seems even more important in Turkish and Moroccan migrant women than in other populations.</p

Ethnic differences in total and HDL cholesterol among Turkish, Moroccan and Dutch ethnic groups living in Amsterdam, the Netherlands.

<p>Abstract</p> <p>Background</p> <p>High total cholesterol and low HDL (high-density lipoprotein) cholesterol are important determinants of cardiovascular disease. Little is known about dyslipidemia among Turkish and Moroccan migrants, two of the largest ethnic minority groups in several European countries. This study examines ethnic differences in total and HDL cholesterol levels between Dutch, Turkish and Moroccan ethnic groups.</p> <p>Methods</p> <p>Data were collected in the setting of a general health survey, in Amsterdam, the Netherlands, in 2004. Total response rate was 45% (Dutch: 46%, Turks: 50%, Moroccans: 39%). From 1,220 adults information on history of hypercholesterolemia, lifestyle and demographic background was obtained via health interviews. In a physical examination measurements of anthropometry and blood pressure were performed and blood was collected. Total and HDL cholesterol were determined in serum.</p> <p>Results</p> <p>Total cholesterol levels were lower and hypercholesterolemia was less prevalent among the Moroccan and Turkish than the Dutch ethnic population. HDL cholesterol was also relatively low among these migrant groups. The resulting total/HDL cholesterol ratio was particularly unfavourable among the Turkish ethnic group. Controlling for Body Mass Index and alcohol abstinence substantially attenuated ethnic differences in HDL cholesterol levels and total/HDL cholesterol ratio.</p> <p>Conclusions</p> <p>Total cholesterol levels are relatively low in Turkish and Moroccan migrants. However part of this advantage is off-set by their relatively low levels of HDL cholesterol, resulting in an unfavourable total/HDL cholesterol ratio, particularly in the Turkish population. Important factors in explaining ethnic differences are the relatively high Body Mass Index and level of alcohol abstinence in these migrant groups.</p

Body shape and size in 6-year old children: assessment by three-dimensional photonic scanning.

BACKGROUND: Body shape and size are typically described using measures such as body mass index (BMI) and waist circumference, which predict disease risks in adults. However, this approach may underestimate the true variability in childhood body shape and size. OBJECTIVE: To use a comprehensive three-dimensional photonic scan approach to describe variation in childhood body shape and size. SUBJECTS/METHODS: At age 6 years, 3350 children from the population-based 2004 Pelotas birth cohort study were assessed by three-dimensional photonic scanner, traditional anthropometry and dual X-ray absorptiometry. Principal component analysis (PCA) was performed on height and 24 photonic scan variables (circumferences, lengths/widths, volumes and surface areas). RESULTS: PCA identified four independent components of children's body shape and size, which we termed: Corpulence, Central:peripheral ratio, Height and arm lengths, and Shoulder diameter. Corpulence showed strong correlations with traditional anthropometric and body composition measures (r>0.90 with weight, BMI, waist circumference and fat mass; r>0.70 with height, lean mass and bone mass); in contrast, the other three components showed weak or moderate correlations with those measures (all r<0.45). There was no sex difference in Corpulence, but boys had higher Central:peripheral ratio, Height and arm lengths and Shoulder diameter values than girls. Furthermore, children with low birth weight had lower Corpulence and Height and arm lengths but higher Central:peripheral ratio and Shoulder diameter than other children. Children from high socio-economic position (SEP) families had higher Corpulence and Height and arm lengths than other children. Finally, white children had higher Corpulence and Central:peripheral ratio than mixed or black children. CONCLUSIONS: Comprehensive assessment by three-dimensional photonic scanning identified components of childhood body shape and size not captured by traditional anthropometry or body composition measures. Differences in these novel components by sex, birth weight, SEP and skin colour may indicate their potential relevance to disease risks.This article is based on data from the study ‘Pelotas Birth Cohort, 2004’ conducted by the Postgraduate Program in Epidemiology at Federal University of Pelotas, in collaboration with Brazilian Public Health Association (ABRASCO). The 2004 birth cohort study is supported by the Wellcome Trust through the scheme called ‘Major Awards for Latin America on Health Consequences of Population Change’. The World Health Organization, Brazilian National research Council (CNPq) and Brazilian Ministry of Health have supported previous phase of the study. LPS is supported by ‘Science without Borders’ Brazilian scheme under protocol number 201801/2014-0.This is the final version of the article. It first appeared from Nature Publishing Group via http://dx.doi.org/10.1038/ijo.2016.3

Higher education delays and shortens cognitive impairment. A multistate life table analysis of the US Health and Retirement Study

Improved health may extend or shorten the duration of cognitive impairment by postponing incidence or death. We assess the duration of cognitive impairment in the US Health and Retirement Study (1992–2004) by self reported BMI, smoking and levels of education in men and women and three ethnic groups. We define multistate life tables by the transition rates to cognitive impairment, recovery and death and estimate Cox proportional hazard ratios for the studied determinants. 95% confidence intervals are obtained by bootstrapping. 55 year old white men and women expect to live 25.4 and 30.0 years, of which 1.7 [95% confidence intervals 1.5; 1.9] years and 2.7 [2.4; 2.9] years with cognitive impairment. Both black men and women live 3.7 [2.9; 4.5] years longer with cognitive impairment than whites, Hispanic men and women 3.2 [1.9; 4.6] and 5.8 [4.2; 7.5] years. BMI makes no difference. Smoking decreases the duration of cognitive impairment with 0.8 [0.4; 1.3] years by high mortality. Highly educated men and women live longer, but 1.6 years [1.1; 2.2] and 1.9 years [1.6; 2.6] shorter with cognitive impairment than lowly educated men and women. The effect of education is more pronounced among ethnic minorities. Higher life expectancy goes together with a longer period of cognitive impairment, but not for higher levels of education: that extends life in good cognitive health but shortens the period of cognitive impairment. The increased duration of cognitive impairment in minority ethnic groups needs further study, also in Europe

DiAlert: a lifestyle education programme aimed at people with a positive family history of type 2 diabetes and overweight, study protocol of a randomised controlled trial

<p>Abstract</p> <p>Background</p> <p>Family history is a known risk factor for type 2 diabetes (T2DM), and more so in the presence of overweight. This study aims to develop and evaluate the effectiveness of a new lifestyle education programme 'DiAlert' targeted at 1st degree relatives of people with T2DM and overweight. In view of the high risk for diabetes and cardiovascular disease in immigrants from Turkish origin living in Western Europe, a culturally appropriate Turkish version of DiAlert will be developed and tested.</p> <p>Methods/design</p> <p>In this RCT, 268 (134 Dutch and 134 Turkish) overweight 1st degree relatives of patients with T2DM will be allocated to either the intervention or control group (leaflet). The intervention DiAlert aims to promote intrinsic motivation to change lifestyle, and sustain achieved behaviour changes during follow-up. Primary outcome is weight loss. Secondary outcomes include biological, behavioural and psychological indices, along with process indicators. Measurements will take place at baseline and after 3 and 9 months. Changes in outcomes are tested between intervention and control group at 3 months; effects over time are tested within and between both ethnic groups at 3 and 9 months.</p> <p>Discussion</p> <p>The DiAlert intervention is expected to be more effective than the control condition in achieving significant weight loss at 3 months, in both Dutch and Turkish Dutch participants.</p> <p>Trial registration</p> <p>Netherlands National Trial Register (NTR): <a href="http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2036">NTR2036</a></p