0 (1.8) −3.1 (1.9) −0.09 (2.2) 0.6 (1.7) 1.0 (2.1) 0.04 (1.7) * P < 0.05 The interaction between employment status and NU7441 in vivo ethnic background had a significant contribution to the

logistic regression model (χ2 = 10.4; df = 3; P = 0.018), demonstrating that the associations between employment status and health varied within ethnic groups (Table 4). Health inequalities between employed and unemployed subjects were largest among the Dutch subjects [OR = 3.2 (1.9–5.4)], followed by Surinamese and Antilleans [OR = 2.6 (1.3–5.2)], and less pronounced among Turkish/Moroccan subjects [OR = 1.6 (0.7–3.7)] and refugees [OR = 1.6 (0.4–6.2)]. The PAF of unemployment in poor health was 14% among Dutch, 26% in Surinamese and Antilleans, 14% among Turkish and Moroccan, and 13% among refugees. Table 4 Associations between unemployment and poor health Selleckchem PF-6463922 within different ethnic backgrounds in a community-based health survey in the Netherlands (n = 1,558)   OR (95% CI) Age  18–24 years 1  25–44 years 1.9 (1.1–3.6)  45–55 years 4.2 (2.3–8.0)  55–64 years 4.1 (2.2–7.9) Women 1.6 (1.2–2.2) Educational level  High 1  Intermediate Fludarabine clinical trial 1.8 (1.1–3.1)  Low 3.7 (2.3–6.0) Native Dutch 1 Turkish/Moroccan 4.3 (2.4–7.4) Surinamese/Antillean 2.8 (1.8–4.3) Refugee 2.0 (0.9–4.1) Effect of unemployment within ethnic group  Native Dutch 3.2 (1.9–5.4)  Turkish/Moroccan 1.6 (0.7–3.7)  Antillean/Surinamese 2.6

(1.3–5.2)  Refugee 1.6 (0.4–6.2) Employed (full-time and part-time) and unemployed persons were included, whereas homemakers and disabled persons (n = 327) were not included in this analysis OR odds ratio, CI confidence interval Discussion Ill health was substantially more common among unemployed persons than workers in paid employment. Health inequalities associated with employment differed within ethnic groups, with the strongest association between employment and health for native Dutch persons, Liothyronine Sodium followed by Surinamese and Antilleans and a less pronounced

association between employment and health for Turkish/Moroccan persons and refugees. The PAF varied between 13 and 26%, indicating that employment status is an important factor in socioeconomic health inequalities. The design of this study was cross-sectional, and therefore no assumption can be made about the direction of the association between poor health and unemployment among migrant groups. Unemployment may cause poor health and poor health may increase the probability of becoming unemployed (Bartley et al. 2004; Schuring et al. 2007). Another limitation of this study was the lack of information on non-respondents. With respect to unemployment in the study population, the proportion of unemployed persons within each ethnic group resembled closely the registered unemployment in the city of Rotterdam, and thus the response does not seem biased towards employed or unemployed persons. In this study ethnic groups reported higher prevalences of poor health and also lower scores on health-related quality of life.