ABSTRACT
It is currently unknown whether associations between gut microbiota composition and type 2 diabetes (T2D) differ according to the ethnic background of individuals. Thus, we studied these associations in participants from two ethnicities characterized by a high T2D prevalence and living in the same geographical area, using the Healthy Life In Urban Settings (HELIUS) study. We included 111 and 128 T2D participants on metformin (Met-T2D), 78 and 49 treatment-naïve T2D (TN-T2D) participants, as well as a 1:1 matched group of healthy controls from, respectively, African Surinamese and South-Asian Surinamese descent. Fecal microbiome profiles were obtained through 16S rRNA gene sequencing. Univariate and machine learning analyses were used to explore the associations between T2D and the composition and function of the gut microbiome in both ethnicities, comparing Met-T2D and TN-T2D participants to their respective healthy control. We found a lower α-diversity for South-Asian Surinamese TN-T2D participants but no significant associations between TN-T2D status and the abundance of bacterial taxa or functional pathways. In African Surinamese participants, we did not find any association between TN-T2D status and the gut microbiome. With respect to Met-T2D participants, we identified several bacterial taxa and functional pathways with a significantly altered abundance in both ethnicities. More alterations were observed in South-Asian Surinamese. Some altered taxa and pathways observed in both ethnicities were previously related to metformin use. This included a strong negative association between the abundance of Romboutsia and Met-T2D status. Other bacterial taxa were consistent with previous observations in T2D, including reduced butyrate producers such as Anaerostipes hadrus. Hence, our results highlighted both shared and unique gut microbial biomarkers of Met-T2D in individuals from different ethnicities but living in the same geographical area. Future research using higher-resolution shotgun sequencing is needed to clarify the role of ethnicity in the association between T2D and gut microbiota composition.
Subject(s)
Asian People/statistics & numerical data , Black People/statistics & numerical data , Diabetes Mellitus, Type 2/ethnology , Gastrointestinal Microbiome , Case-Control Studies , Diabetes Mellitus, Type 2/etiology , Diabetes Mellitus, Type 2/microbiology , Female , Gastrointestinal Microbiome/genetics , Humans , Male , Middle Aged , RNA, Ribosomal, 16S/genetics , SurinameABSTRACT
BACKGROUND: Men have a higher risk for cardiovascular disease (CVD) early in life, while women have a higher risk later in life. The sex-related differences in CVD risk, especially by age, could be related to sphingolipid metabolism. We compared plasma sphingolipid concentrations and its increase by age in men and women. METHODS: Plasma concentrations of 13 types of sphingolipids were measured by liquid chromatography-tandem mass spectrometry in a random subsample of 328 men and 372 women of Dutch and South-Asian Surinamese ethnic origin, participating in the HELIUS study. Sphingolipid concentrations were compared between men and women by age group (18-39, 40-55, and 56-70 years). Multiple linear regression was used to determine sex differences in age trends in sphingolipids stratified by ethnicity. Analyses were performed without adjustment and adjusted for body mass index (BMI) and waist circumference. RESULTS: At age 18-39 years, sphingolipid concentrations were lower in women than those in men, but at age 56-70 years this was reversed. At higher age, women showed higher concentrations than men. In line, we observed a more rapid increase of sphingolipid concentrations by age in women than in men. The observed sex differences were not explained by BMI or waist circumference. Patterns of sex differences were similar across ethnic groups, although the strength of associations differed. CONCLUSIONS: Mean sphingolipid concentrations increase more rapidly with age in women than in men. Therefore, plasma lipid concentrations of sphingolipids, although lower in women than in men at younger age, are higher in women than in men at older age.
Subject(s)
Sex Characteristics , Adolescent , Adult , Aged , Cardiovascular Diseases , Cross-Sectional Studies , Ethnicity , Female , Humans , Male , Middle Aged , Netherlands/epidemiology , Sphingolipids , Young AdultABSTRACT
Objective: Ethnic minorities report different levels of drinking and smoking and higher rates of depression compared to native populations. In this study we aimed to investigate in six ethnic groups whether tobacco and alcohol use were associated with depressive symptoms, which are more prevalent in ethnic minorities.Methods: Cross-sectional data from the multi-ethnic Healthy Life in an Urban Setting (HELIUS) study sample (N = 22,471) was used, comprising 4,580 native Dutch participants which were compared with participants from five ethnic minority groups (3,259 South Asian Surinamese, 4,292 African Surinamese, 2,262 Ghanaian, 3,891 Turkish, and 4,187 Moroccan).Results: Alcohol misuse was positively associated with depressed mood in all ethnic groups except for the Dutch and the Ghanaians. Nicotine dependence was positively associated with depressed mood in all ethnic groups except for the Ghanaian group.Conclusions: Alcohol misuse and nicotine dependence were significantly associated with depressed mood in most but not all ethnic groups and especially in men. However, across all groups the contribution of alcohol misuse and nicotine dependence to depressed mood was small. Prospective multi-ethnic studies should confirm whether the relations are causal and elucidate their direction.
Subject(s)
Alcoholism/ethnology , Depression/ethnology , Depressive Disorder/ethnology , Tobacco Use Disorder/ethnology , Urban Population/statistics & numerical data , Adult , Asian People/ethnology , Black People/ethnology , Cross-Sectional Studies , Female , Ghana/ethnology , Humans , Male , Middle Aged , Morocco/ethnology , Netherlands/ethnology , Sex Factors , Suriname/ethnology , Turkey/ethnology , White People/ethnologyABSTRACT
Little is known about how health-related behaviours cluster across different populations and how lifestyle clusters are associated with type 2 diabetes (T2D) risk. We investigated lifestyle clusters and their association with T2D in a multi-ethnic population. 4396 Dutch, 2850 South-Asian Surinamese, 3814 African Surinamese, 2034 Ghanaian, 3328 Turkish, and 3661 Moroccan origin participants of the HELIUS study were included (2011-2015). K-medoids cluster analyses were used to identify lifestyle clusters. Logistic and cox regression analyses were performed to investigate the association of clusters with prevalent and incident T2D, respectively. Pooled analysis revealed three clusters: a 'healthy', 'somewhat healthy', and 'unhealthy' cluster. Most ethnic groups were unequally distributed: Dutch participants were mostly present in the 'healthy' cluster, Turkish and Moroccan participants in the 'somewhat healthy' cluster, while the Surinamese and Ghanaian participants were equally distributed across clusters. When stratified for ethnicity, analysis revealed three clusters per ethnic group. While the 'healthy' and 'somewhat healthy' clusters were similar to those of the pooled analysis, we observed considerable differences in the ethnic-specific 'unhealthy' clusters. Fruit consumption (3-4 days/week) was the only behaviour that was consistent across all ethnic-specific 'unhealthy' clusters. The pooled 'unhealthy' cluster was positively associated with prediabetes (OR: 1.34, 95%CI 1.21-1.48) and incident T2D (OR: 1.23, 95%CI 0.89-1.69), and negatively associated with prevalent T2D (OR: 0.80, 95%CI 0.69-0.93). Results were similar for most, but not all, ethnic-specific clusters. This illustrates that targeting multiple behaviours is relevant in prevention of T2D but that ethnic differences in lifestyle clusters should be taken into account.
Subject(s)
Diabetes Mellitus, Type 2 , Ethnicity , Life Style , Asian People , Diabetes Mellitus, Type 2/epidemiology , Ghana , Humans , Netherlands/epidemiology , Risk Factors , Suriname/epidemiologyABSTRACT
BACKGROUND: Healthier dietary patterns are generally more costly than less healthy patterns, but dietary costs may be more important for dietary quality in lower educated and ethnic minority groups. The aim of this study was to investigate the association between dietary costs and dietary quality and interactions with ethnicity and socioeconomic position (SEP). METHODS: We used cross-sectional data from 4717 Dutch, Surinamese, Turkish and Moroccan origin participants of the multi-ethnic HELIUS study (the Netherlands), who completed an ethnic-specific food frequency questionnaire (FFQ). The primary outcome measure was dietary quality according to adherence to the Dutch Healthy Diet index 2015 (DHD15-index, range 0-130). Individual dietary costs (the monetary value attached to consumed diets in Euros) were estimated by merging a food price variable with the FFQ nutrient composition database. Regression analyses were used to examine main and interaction effects. Analyses were adjusted for age, sex, smoking, energy intake, physical activity, ethnicity and educational level. RESULTS: Having higher dietary costs was associated with higher dietary quality. Analyses stratified by educational level showed that associations were stronger in higher educated (Btertile3 = 8.06, 95%CI = 5.63; 10.48) than in lower educated participants (Btertile3 = 5.09, 95%CI = 2.74; 7.44). Stratification by ethnic origin showed strongest associations in Turkish participants (Btertile2 = 9.31, 95%CI = 5.96; 12.65) and weakest associations in Moroccan participants (Btertile3 = 4.29, 95%CI = 0.58; 8.01). Regardless of their level of education, Turkish and Moroccan individuals consumed higher quality diets at the lowest cost than Dutch participants. CONCLUSIONS: The importance of dietary costs for dietary quality differs between socioeconomic and ethnic subgroups. Increasing individual food budgets or decreasing food prices may be effective for the promotion of healthy diets, but differential effects across socioeconomic and ethnic subgroups may be expected.
Subject(s)
Costs and Cost Analysis , Diet, Healthy/statistics & numerical data , Diet/economics , Ethnicity , Socioeconomic Factors , Adult , Cross-Sectional Studies , Diet Records , Female , Food , Humans , Male , Middle Aged , Minority Groups , Morocco/ethnology , Netherlands , Suriname/ethnology , Surveys and Questionnaires , Turkey/ethnologyABSTRACT
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.
Subject(s)
Asian People , Black People , Body Weight/ethnology , Cardiovascular Diseases/ethnology , Health Status Disparities , Mass Screening/methods , White People , Adult , Age Factors , Biomarkers/blood , Blood Pressure , Cardiovascular Diseases/blood , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/physiopathology , Female , Ghana/ethnology , Humans , Male , Middle Aged , Morocco/ethnology , Netherlands/epidemiology , Predictive Value of Tests , Prevalence , Risk Assessment , Risk Factors , Sex Factors , Suriname/ethnology , Turkey/ethnologyABSTRACT
BACKGROUND: The prevalence of smoking varies across ethnic groups in developed countries, but little is known about ethnic variations in specific aspects of nicotine dependence (ND). We conducted item-response analyses in current smokers to compare ND factors across five ethnic groups. METHODS: Data were obtained from a population-based, multi-ethnic cohort study conducted in the Netherlands. The Fagerström Test for Nicotine Dependence (FTND) was assessed in 1147 Dutch, 991 South-Asian Surinamese, 1408 African Surinamese, 1396 Turkish, and 584 Moroccan smokers (N = 5526). We tested whether the factorial structure of the FTND was invariant across ethnic groups using a multi-group confirmatory factor analysis. FTND item and total scores and factor means were compared across groups. RESULTS: The two-factor model representing "morning smoking" and "smoking patterns" provided an adequate fit. The items "Cigarettes smoked daily" and "Time until first cigarette" showed differential item functioning (DIF) as a function of ethnicity. Three out of four ethnic minority groups scored significantly higher on both factors compared to the Dutch origin group (all p < 0.001) before and after taking DIF into account, while the African Surinamese scored higher only on "morning smoking" when DIF was accounted for. DISCUSSION: The factor structure of the FTND is not measurement invariant across ethnic groups in this population-based sample. Accounting for DIF affecting the nicotine dependence factor scores, although South-Asian Surinamese, Turkish, and Moroccan groups showed higher levels of dependence than the Dutch origin group, genetic as well as environmental factors may account for the observed differences.
Subject(s)
Ethnicity/psychology , Healthy Lifestyle , Smokers/psychology , Tobacco Use Disorder/ethnology , Tobacco Use Disorder/psychology , Urban Population/trends , Adult , Asian People/ethnology , Asian People/psychology , Cohort Studies , Female , Healthy Lifestyle/physiology , Humans , Male , Middle Aged , Morocco/ethnology , Netherlands/ethnology , Prospective Studies , Smoking Cessation/ethnology , Smoking Cessation/psychology , Suriname/ethnology , Tobacco Use Disorder/diagnosis , Turkey/ethnologyABSTRACT
PURPOSE: Depression and posttraumatic stress disorder (PTSD) may be linked to the metabolic syndrome (MetS). Consistency of this association across ethnic groups and the influence of comorbidity of depression/PTSD were examined. METHODS: Cross-sectional baseline data from the HELIUS study were used (4527 Dutch, 2999 South-Asian Surinamese, 4058 African Surinamese, 2251 Ghanaian, 3522 Turkish and 3825 Moroccan participants). The Patient Health Questionnaire-9 (PHQ-9) (score range 0-27) measured depressive symptoms. A 9-item questionnaire (score range 0-9) measured PTSD symptoms. The MetS was defined according to the International Diabetes Federation. The association of a depressed mood (PHQ-9 sum score ≥ 10) and severe PTSD symptoms (sum score ≥ 7) with the MetS was examined using logistic regression. Interaction with ethnicity and between a depressed mood and severe PTSD symptoms was tested. RESULTS: A depressed mood was associated with the MetS [OR (95% CI) = 1.37 (1.24-1.51)] in the total sample and consistent across ethnic groups (p values for interaction all > 0.05). Severe PTSD symptoms were significantly associated with the MetS in the Dutch [OR (95% CI) = 1.71 (1.07-2.73)]. The South-Asian Surinamese, Turks and Moroccans showed weaker associations than the Dutch (p values for interaction all < 0.05). A depressed mood and severe PTSD symptoms did not interact in the association with the MetS (p values for interaction > 0.05). CONCLUSIONS: A depressed mood was consistently associated with the MetS across ethnic groups, but the association between severe PTSD symptoms and the MetS maybe ethnicity dependent. The association with the MetS was not different in case of depressed mood/severe PTSD symptoms comorbidity.
Subject(s)
Depression/epidemiology , Metabolic Syndrome/epidemiology , Stress Disorders, Post-Traumatic/epidemiology , Adolescent , Adult , Aged , Comorbidity , Cross-Sectional Studies , Depression/ethnology , Female , Ghana/ethnology , Humans , Male , Metabolic Syndrome/ethnology , Middle Aged , Morocco/ethnology , Netherlands/ethnology , Suriname/ethnology , Turkey/ethnology , Young AdultABSTRACT
OBJECTIVE: To test Koctürk's model of dietary change among South-Asian Surinamese in the Netherlands. The model categorizes foods into staple, complementary and accessory foods and postulates that dietary change after migration begins with accessory foods while foods associated with ethnic identity (staple foods) change at a slower rate. DESIGN: Cross-sectional data from the HELIUS study. Dietary intake was assessed with an FFQ. Acculturation was based on social contacts and sense of belonging and was translated into four strategies of acculturation: assimilation, integration, separation and marginalization. Other indicators of acculturation included residence duration, age at migration and migration generation status. SETTING: Amsterdam, the Netherlands. SUBJECTS: Participants of Dutch (n 1456) and South-Asian Surinamese origin (n 968). RESULTS: Across all acculturation strategies, South-Asian Surinamese participants reported significantly higher intakes of rice (staple food) and chicken (complementary food) and significantly lower intakes of red meat and vegetables (complementary foods) and cookies and sweets (accessory food) than Dutch participants. Men, second-generation and assimilated South-Asian Surinamese were inclined towards Dutch foods such as potato, pasta and red meat. Accessory foods like fruits showed variation across acculturation strategies. CONCLUSIONS: Consistent with the Koctürk model, the intake of staple foods was stable among South-Asian Surinamese irrespective of acculturation strategy while the intake of accessory foods like fruit varied. Contrary to expectations, South-Asian Surinamese showed consistently high intakes of complementary foods like chicken and fish irrespective of acculturation strategy. Public health practitioners should take into consideration the complex and dynamic nature of dietary acculturation.