Ethnic differences in women's use of mental health services: do social networks play a role? Findings from a national survey

Objectives: The reasons for ethnic differences in women’s mental health service use in England remain unclear. The aims of this study were to ascertain: ethnic differences in women’s usage of mental health services, if social networks are independently associated with service use, and if the association between women’s social networks and service use varies between ethnic groups. Design: Logistic regression modelling of nationally representative data from the Ethnic Minority Psychiatric Illness Rates in the Community (EMPIRIC) survey conducted in England. The analytic sample (2260 women, aged 16–74 years) was drawn from the representative subsample of 2340 women in EMPIRIC for whom data on mental health services, and social networks were available. Results: Pakistani and Bangladeshi women were less likely than White women to have used mental health services (Pakistani OR = 0.23, CI = 0.08–0.65, p = .005; Bangladeshi OR = 0.25, CI = 0.07–0.86, p = .027). Frequent contact with relatives reduced mental health service use (OR = 0.45, CI = 0.23–0.89, p = .023). An increase in perceived inadequate support in women’s close networks was associated with increased odds of using mental health services (OR = 1.91, CI = 1.11–3.27, p = .019). The influence of social networks on mental health service use did not differ between ethnic groups. Conclusions: The differential treatment of women from Pakistani and Bangladeshi ethnic groups in primary care settings could be a possible reason for the observed differences in mental health service use

Islamophobia, racism and health

Racism has been argued to be a focal element of ethnic inequalities in health (Williams 1999, Krieger 2003, Nazroo 2003, Paradies et al. 2015), impacting on the health of ethnic minority people through differential exposure to socioeconomic, environmental, psychosocial and healthcare-related pathways. In this chapter we explore the implications of this for the health of Muslim people in the UK, with the intention of illustrating how Islamophobia, racism targeted towards Islam or Muslims, harms the health of Muslim people. The evidence we draw on is mainly from studies of racism and health, so the primary focus is on ethnic minority people in general, with discussion of a range of health outcomes. Nevertheless, the conclusions from this evidence are clear on the harm of Islamophobia to health

Migration Status and Smoking Behaviors in Later-Life in China—Evidence From the China Health and Retirement Longitudinal Study (CHARLS)

Background: China is the biggest consumer of tobacco in the world, with a high prevalence of smoking especially among men. Along with the rapid demographic change in China, the burden of diseases attributable to health behaviors, particularly smoking is steadily increasing. So, smoking has become a major risk factor for mortality in China. Smoking behaviors may be related to migration processes, as a result of both who migrates and post-migration experiences related to socioeconomic position, stress and acculturation. Existing studies that have examined smoking and migration in China have, however, only focused on temporary rural-to-urban migrants and focused on relatively younger migrants. This paper examines the association between smoking behaviors and a comprehensive assessment of migration status in later-life in China.Methods: Using the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative dataset, this paper studies smoking behaviors of rural-to-urban migrants, urban-to-urban migrants, rural return migrants, and urban return migrants. We compare them with corresponding non-migrant groups in both rural and urban locations in China. Using a model that controls for demographic factors, early-life circumstances, socioeconomic factors, and factors related to migration, we examine both the decision to start smoking and the decision to quit smoking. In addition, we also address pre-migration selection in our analyses.Results: The results show rural-to-urban migrants are no more likely to start smoking compared with rural non-migrants, but they are more likely to quit smoking. While urban-to-urban migrants are more likely to start smoking compared with urban non-migrants, this effect is explained by the factors we include in the full model. Urban-to-urban migrants are, however, less likely to quit smoking. Moreover, both rural return migrants and urban return migrants seem to be more likely to start smoking and less likely to quit smoking compared with non-migrant groups.Conclusion: There are strong associations between migration status and later-life smoking behaviors in China; these associations vary greatly according to different migration status and point to populations and factors that public health activities should focus on

Migration status and smoking behaviors in later-life in China-Evidence from the China Health and Retirement Longitudinal Study (CHARLS)

Background: China is the biggest consumer of tobacco in the world, with a high prevalence of smoking especially among men. Along with the rapid demographic change in China, the burden of diseases attributable to health behaviors, particularly smoking is steadily increasing. So, smoking has become a major risk factor for mortality in China. Smoking behaviors may be related to migration processes, as a result of both who migrates and post-migration experiences related to socioeconomic position, stress and acculturation. Existing studies that have examined smoking and migration in China have, however, only focused on temporary rural-to-urban migrants and focused on relatively younger migrants. This paper examines the association between smoking behaviors and a comprehensive assessment of migration status in later-life in China. Methods: Using the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative dataset, this paper studies smoking behaviors of rural-to-urban migrants, urban-to-urban migrants, rural return migrants, and urban return migrants. We compare them with corresponding non-migrant groups in both rural and urban locations in China. Using a model that controls for demographic factors, early-life circumstances, socioeconomic factors, and factors related to migration, we examine both the decision to start smoking and the decision to quit smoking. In addition, we also address pre-migration selection in our analyses. Results: The results show rural-to-urban migrants are no more likely to start smoking compared with rural non-migrants, but they are more likely to quit smoking. While urban-to-urban migrants are more likely to start smoking compared with urban non-migrants, this effect is explained by the factors we include in the full model. Urban-to-urban migrants are, however, less likely to quit smoking. Moreover, both rural return migrants and urban return migrants seem to be more likely to start smoking and less likely to quit smoking compared with non-migrant groups. Conclusion: There are strong associations between migration status and later-life smoking behaviors in China; these associations vary greatly according to different migration status and point to populations and factors that public health activities should focus on.</p

Understanding cause without the story: Strengths and limitations of quantitative longitudinal research when studying ageing

Presentation given as part of Methods in Dialogue - Researching Ageing This paper will discuss traditional approaches used by quantitative panel studies to understanding cause, and more contemporary innovations in such studies designed to deal with measurement issuesand those related to establishing time order. It will also include a broader discussion of how cause is understood in such studies and the limitations of such an approach