RESUMO
OBJECTIVE: Ethnic differences in the metabolic syndrome could be explained by perceived ethnic discrimination (PED). It is unclear whether PED is associated with the metabolic syndrome. We assessed this association and quantified the contribution of PED to the metabolic syndrome. METHODS: Baseline data were used from the Healthy Life in an Urban Setting study collected in the Netherlands from 2011 to 2014. The population-based sample included South-Asian Surinamese, African Surinamese, Ghanaian, Turkish, and Moroccan participants (aged 18 to 70 years). PED was measured using the Everyday Discrimination Scale. The metabolic syndrome was determined according to the harmonized definition of the International Diabetes Federation, American Heart Association, and others. Logistic regression was used for analysis. population-attributable fraction was used to calculate the contribution of PED. RESULTS: PED was positively associated with the metabolic syndrome in South-Asian Surinamese, African Surinamese, and Moroccan participants (odds ratio [95% confidence interval] = 1.13 [0.99-1.30], 1.15 [1.00-1.32], and 1.19 [1.03-1.38], respectively) after adjusting for potential confounders and mediators. No significant association was observed among Ghanaian and Turkish participants. For the individual components, the associations were statistically significant for blood pressure, fasting glucose, and waist circumference among Surinamese participants. PED was associated with dyslipidemia in Moroccan participants. The population-attributable fractions were 5% for South-Asian Surinamese and Moroccan participants, and 7% for African Surinamese participants. CONCLUSIONS: We found a positive association of PED with the metabolic syndrome in some ethnic groups, with PED contributing around 5% to 7% to the metabolic syndrome among Surinamese and Moroccans. This suggests that PED might contribute to ethnic differences in the metabolic syndrome.
Assuntos
Síndrome Metabólica/etnologia , Grupos Minoritários/estatística & dados numéricos , Preconceito/etnologia , Sistema de Registros/estatística & dados numéricos , Adulto , Ásia Ocidental/etnologia , População Negra/etnologia , Feminino , Gana/etnologia , Humanos , Masculino , Pessoa de Meia-Idade , Marrocos/etnologia , Países Baixos/etnologia , Racismo/etnologia , Suriname/etnologia , Turquia/etnologia , População Urbana/estatística & dados numéricosRESUMO
PURPOSE: Perceived ethnic discrimination (PED) is positively associated with depressive symptoms in ethnic minority groups in Western countries. Psychosocial factors may buffer against the health impact of PED, but evidence is lacking from Europe. We assessed whether ethnic identity, religion, and ethnic social network act as buffers in different ethnic minority groups in Amsterdam, the Netherlands. METHODS: Baseline data were used from the HEalthy Living In a Urban Setting study collected from January 2011 to June 2014. The random sample included 2501 South-Asian Surinamese, 2292 African Surinamese, 1877 Ghanaians, 2626 Turks, and 2484 Moroccans aged 18-70 years. Depressive symptoms were assessed using the Patient Health Questionnaire-9. PED was measured with the Everyday Discrimination Scale. Ethnic identity was assessed using the Psychological Acculturation Scale. Practicing religion was determined. Ethnic social network was assessed with the number of same-ethnic friends and amount of leisure time spent with same-ethnic people. RESULTS: PED was positively associated with depressive symptoms in all groups. The association was weaker among (a) those with strong ethnic identity in African Surinamese and Ghanaians, (b) those practicing religion among African Surinamese and Moroccans, (c) those with many same-ethnic friends in South-Asian Surinamese, Ghanaians, and Turks, and (d) those who spend leisure time with same-ethnic people among African Surinamese and Turks. CONCLUSIONS: Ethnic identity, religion, and ethnic social network weakened the association between PED and depressive symptoms, but the effects differed by ethnic minority group. These findings suggest that ethnic minority groups employ different resources to cope with PED.
Assuntos
Transtorno Depressivo/etnologia , Transtorno Depressivo/psicologia , Grupos Minoritários/psicologia , Racismo/psicologia , Religião e Psicologia , Identificação Social , Apoio Social , Adolescente , Adulto , Idoso , Feminino , Gana/etnologia , Humanos , Masculino , Pessoa de Meia-Idade , Marrocos/etnologia , Países Baixos , Suriname/etnologia , Turquia/etnologia , Adulto JovemRESUMO
BACKGROUND: Current disease burden estimates do not provide evidence across different ethnic groups. This study aims to assess the disease burden as measured by the disability-adjusted life years (DALYs) for six ethnic groups in Amsterdam, the Netherlands, for 2011 and 2030. METHODS: The DALYs were calculated by combining three components: disease-/sex-/age-specific DALYs per person; disease-specific relative risks (RRs) by ethnicity; and sex-/age-specific population sizes by ethnicity in Amsterdam in 2011 and 2030. Disease-specific DALYs were derived from the National Institute of Public Health. The RRs were obtained through a systematic review of studies published in 1997-2008. The population figures were gathered from the Statistics Netherlands and municipality of Amsterdam. RESULTS: The findings suggest that cardiovascular diseases and anxiety and depressive disorders dominate disease burden in all ethnic groups in 2011 and 2030. In most of the non-Western ethnic minorities, diabetes mellitus is the strongest contributor to the disease burden. The total disease burden will increase more strongly in non-Western ethnic minorities than ethnic Dutch. The 2030 disease burden is estimated to be highest among Surinamese and Antilleans. CONCLUSIONS: In ethnic minorities, diabetes plays an important role in the disease burden, and the total disease burden will grow stronger than ethnic Dutch, resulting in a higher total disease burden for some ethnic groups in 2030. We encourage researchers to estimate the disease burden by ethnicity so that health priorities can be set in the fields of policy, health care and research.