Association Between Perceived Discrimination and Alcohol and Tobacco Consumption in ELSA-Brasil Cohort: Focusing on Gender Differences

Do black women's lives matter? A study of the hidden impact of the barriers to access maternal healthcare for migrant women in South Africa

Background

Studies on the barriers migrant women face when trying to access healthcare services in South Africa have emphasized economic factors, fear of deportation, lack of documentation, language barriers, xenophobia, and discrimination in society and in healthcare institutions as factors explaining migrants' reluctance to seek healthcare. Our study aims to visualize some of the outcome effects of these barriers by analyzing data on maternal death and comparing the local population and black African migrant women from the South African Development Countries (SADC) living in South Africa. The heightened maternal mortality of black migrant women in South Africa can be associated with the hidden costs of barriers migrants face, including xenophobic attitudes experienced at public healthcare institutions.

Methods

Our analysis is based on data on reported causes of death (COD) from the South African Department of Home Affairs (DHA). Statistics South Africa (Stats SA) processed the data further and coded the cause of death (COD) according to the WHO classification of disease, ICD10. The dataset is available on the StatsSA website (http://nesstar.statssa.gov.za:8282/webview/) for research and statistical purposes. The entire dataset consists of over 10 million records and about 50 variables of registered deaths that occurred in the country between 1997 and 2018. For our analysis, we have used data from 2002 to 2015, the years for which information on citizenship is reliably included on the death certificate. Corresponding benchmark data, in which nationality is recorded, exists only for a 10% sample from the population and housing census of 2011. Mid-year population estimates (MYPE) also exist but are not disaggregated by nationality. For this reason, certain estimates of death proportions by nationality will be relative and will not correspond to crude death rates.

Results

The total number of female deaths recorded from the years 2002 to 2015 in the country was 3740.761. Of these, 99.09% (n = 3,707,003) were deaths of South Africans and 0.91% (n = 33,758) were deaths of SADC women citizens. For maternal mortality, we considered the total number of deaths recorded for women between the ages of 15 and 49 years of age and were 1,530,495 deaths. Of these, deaths due to pregnancy-related causes contributed to approximately 1% of deaths. South African women contributed to 17,228 maternal deaths and SADC women to 467 maternal deaths during the period under study. The odds ratio for this comparison was 2.02. In other words, our findings show the odds of a black migrant woman from a SADC country dying of a maternal death were more than twice that of a South African woman. This result is statistically significant as this odds ratio, 2.02, falls within the 95% confidence interval (1.82-2.22).

Conclusion

The study is the first to examine and compare maternal death among two groups of women, women from SADC countries and South Africa, based on Stats SA data available for the years 2002-2015. This analysis allows for a better understanding of the differential impact that social determinants of health have on mortality among black migrant women in South Africa and considers access to healthcare as a determinant of health. As we examined maternal death, we inferred that the heightened mortality among black migrant women in South Africa was associated with various determinants of health, such as xenophobic attitudes of healthcare workers toward foreigners during the study period. The negative attitudes of healthcare workers toward migrants have been reported in the literature and the media. Yet, until now, its long-term impact on the health of the foreign population has not been gaged. While a direct association between the heightened death of migrant populations and xenophobia cannot be established in this study, we hope to offer evidence that supports the need to focus on the heightened vulnerability of black migrant women in South Africa. As we argued here, the heightened maternal mortality among migrant women can be considered hidden barriers in which health inequality and the pervasive effects of xenophobia perpetuate the health disparity of SADC migrants in South Africa.

Perceived discrimination among Syrian refugees in Germany and its associations with mental health

Discrimination is a crucial post migratory stressor but there is little research on perceived discrimination by Syrian refugees. This study aims to assess self-reported discrimination by Syrian refugees with a residence permit in Germany, determine its forms, places, and predictors, and explore its possible relation with mental health. Sociodemographics, migration-specific characteristics, traumatic life events, quality of life, perceived discrimination, depression, generalised anxiety disorder, post-traumatic symptoms, and somatic distress were assessed among 116 participants. More than one-third of the participants perceived discrimination in low frequency, and in general, perceived discrimination was confined to treatment with less courtesy or respect. Unfair treatment was perceived mostly while searching for accommodation and in the neighbourhood. Refugees attributed their experiences to their lack of language skills prior to national, religious, and racial causes. Lower age, higher number of completed years of education, and symptoms of posttraumatic stress disorder were significantly and substantially associated with perceived discrimination. Anxiety symptoms, number of traumatic experiences and gender may also be regarded as relevant predictors of perceived discrimination. Health care professionals must be aware of the links between discrimination and symptoms of mental disorders. Policymakers should address discrimination as a key refugee issue and risk to mental health.

Daily Social Pressure and Alcohol Consumption Among Chinese Women: A Cross-Sectional Study

The purpose of this study was to examine the daily social pressure and socioeconomic factors related to women's alcohol consumption in China. Cross-sectional data were obtained from the 2012 China Family Panel Studies. A multivariate logistic regression analysis of a sample of 16 339 female adults with the mean age of 45.3 years was used to examine the relationships between dependent and independent variables. According to the results, first, the greater the daily social pressure, the more likely women were to engage in general alcohol consumption (odds ratio = 1.061) and risk drinking (odds ratio = 1.057). Second, while there is a positive relationship between the general level of social pressure and women's alcohol consumption, the relationship between the severe level of social pressure and women's alcohol consumption was not significant. Finally, women in the Central region were less likely to engage in risk drinking than women in the Western region; women with secondary school education were more likely to engage in risk drinking than women with primary school education or below; and age was significantly positively associated with both general and risk drinking. In conclusion, increasing alcohol consumption among women may be due to increased social pressure.

Perceived Social Discrimination, Socioeconomic Status, and Alcohol Consumption among Chinese Adults: A Nationally Representative Study

Perceived social discrimination in China has significant effects on drinking behavior. This finding was reached through multivariate logistic regression analysis of a sample of 22,566 adults in the 2016 China Family Panel Studies (CFPS). This was a cross-sectional study conducted with computer-assisted face-to-face interviews to assess alcohol drinking problems and associated factors among Chinese adults. The proportion of adults prone to alcoholism tends to be higher in eastern than central China, and higher in central than western China. Furthermore, gender discrimination and delays in government interactions as a result of unfair treatment have a positive and significant effect on individuals’ drinking. The alcohol consumption rate among Chinese men is about 13 times that of Chinese women. Additionally, older people have a stronger tendency to drink alcohol. In terms of education, those with lower education levels are more prone to alcoholism than those with higher education levels. Regarding marital status, those who are married are more prone to alcoholism than those who are not. Further, those who have been diagnosed with a chronic disease within the past six months are less prone to alcoholism than those without such diagnosis. People with an annual income between 50,000 and 150,000 yuan are more prone to alcoholism than those with an income under 50,000 yuan. Groups that have experienced unequal treatment in public services are also more prone to alcoholism than those who do not suffer such unequal treatment.