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Blacks are more likely than white, in the United States, to experience a stillbirth. In this study, I use a structural perspective of race to create a heuristic model that combines medical and social epidemiological explanations to understand the racial disparity in stillbirths. Using data from the National Maternal and Infant Health Survey 1988 (NMIHS), I examine whether racial disparities in stillbirths can be explained by medical and social epidemiological variables. My findings show that medical and social epidemiological explanations do little to reduce the racial disparity. However, many medical model variables were important predictors of stillbirths including multiple gestations, being overweight, obesity, vaginal bleeding, advanced maternal age, and parity.

This study contributes to the understanding of the health effects of pesticides exposure and of how pesticides have been and should be regulated.

This study presents literature reviews for the period 2000–2013 on (i) the health effects of pesticides and on (ii) preference valuation of health risks related to pesticides, as well as a discussion of the role of benefit-cost analysis applied to pesticide regulatory measures.

This study indicates that the health literature has focused on individuals with direct exposure to pesticides, i.e. farmers, while the literature on preference valuation has focused on those with indirect exposure, i.e. consumers. The discussion highlights the need to clarify the rationale for regulating pesticides, the role of risk perceptions in benefit-cost analysis, and the importance of inter-disciplinary research in this area.

This study relates findings of different disciplines (health, economics, public policy) regarding pesticides, and identifies gaps for future research.

Miscarriage is the most common adverse pregnancy outcome, with an estimated one in four pregnancies ending in loss. Despite its prevalence, and significant effects, early pregnancy loss is commonly unacknowledged by organizations, and the intersect of miscarriage experiences while navigating work remains sparsely researched. Available literature, and preliminary research from my Ph.D., reveal stark findings, notably that women commonly conceal miscarriage at work, and when they do disclose, they often experience inconsistent support, or none at all. Minimization, and even discriminatory practice, are commonly witnessed (including inappropriate absence reporting, formal warnings, jeopardization of promotional opportunities, and redundancy). Effective support is often due to empathetic line managers, who sometimes have first-hand experience. Partners are commonly assigned to the “supporter role”, resulting in insufficient leave and support. The absence of formal initiatives, including policy and training, exacerbate the issue. Workplaces that fail to address miscarriage likely face reduced engagement and productivity, and increased absenteeism, presenteeism, and staff turnover. Key recommendations are presented, emphasizing the need for organizations to (i) implement a pregnancy loss policy; (ii) train managers, HR, and colleagues; (iii) provide specialist support; and (iv) tackle pro-natal cultures. Avenues for future research are explored, notably the need to adopt an intersectional lens, and to obtain management/HR and partner perspectives.

This chapter provides an introduction to Volume 28, The Impact of Demographics on Health and Health Care: Race, Ethnicity and Other Social Factors. This chapter introduces the topic of demographic factors leading to differences and disparities in health and health care by reviewing more recent literature within sociology addressing social factors leading to differences in health and health. This chapter also serves as an introduction to the volume. As such, the chapter explains the organization of the volume and briefly comments on each of the chapters included in the volume.

The vast bulk of the discourse surrounding reproduction is centered on women. Yet, the rate of childlessness in the United Kingdom (and much of the world) is higher among men. Recently, there has been an increased focus on fatherhood and fathering in academia, policy, practice, and the general media. However, data on men who do not become fathers has been excluded and their experiences minimized and dismissed. Infertility research has shown that failure to achieve the high social status of parenthood has the similar effects on mental and physical health as a diagnosis of life-threatening illness. In this chapter, I will draw on two qualitative research studies to show how not achieving the pronatalist ideal of parenthood impacts on men’s identity, sense of self, behaviors, health and well-being and social networks across the life course. The workplace is an arena where people who do not fit socio-cultural norms and expectations are overtly and/or covertly stigmatized and discriminated against through policy, working practices and everyday interaction between groups and individuals. I will argue that failing to acknowledge men’s experience of non-reproduction has a significant impact on both individuals and institutions alike.

Economic evaluations often utilise individual-patient data (IPD) to calculate probabilities of events based on observed proportions. However, this approach is limited when interest is in the likelihood of extreme biomarker values that vary by observable characteristics such as blood glucose in gestational diabetes mellitus (GDM). Here, instead of directly calculating probabilities using the IPD, we utilised flexible parametric models that estimate the full conditional distribution, capturing the non-normal characteristics of biomarkers and enabling the derivation of tail probabilities for specific populations. In the case study, we used data from the Born in Bradford study (N = 10,353) to model two non-normally distributed GDM biomarkers (2-hours post-load and fasting glucose). First, we applied fully parametric maximum likelihood to estimate alternative flexible models and information criteria for model selection. We then integrated the chosen distributions in a probabilistic decision model that estimates the cost-effective diagnostic thresholds and the expected costs and quality-adjusted life years (QALYs) of the alternative strategies (‘Testing and Treating’, ‘Treat all’, ‘Do Nothing’). The model adopts the ‘payer’ perspective and expresses results in net monetary benefits (NMB). The log-logistic and Singh-Maddala distributions offered the optimal fit for the 2-hours post-load and fasting glucose biomarkers, respectively. At £13,000 per QALY, maximum NMB with ‘Test and Treat’ (−£330) was achieved for a diagnostic threshold of fasting glucose >6.6 mmol/L, 2-hours post-load glucose >9 mmol/L, identifying 2.9% of women as GDM positive. The case study demonstrated that fully parametric approaches can be implemented in healthcare modelling when interest lies in extreme biomarker values.

In Chapter 5, the author will centralise the discourse on youth sexual misconduct in the focused SEA countries (Indonesia and Malaysia as the two Muslim-majority countries and Thailand as a Buddhist-majority country). Addressed youth sexual misconduct encompasses underage sex, teenage pregnancy, and extramarital sex in SEA. The focus on these kinds of youth sexual misconduct hints at why these three countries are particularly highlighted owing to the controversy and significance. Per Islamic law, non-marital sex is religiously prohibited, where Indonesia recently passed the relevant law that criminalises non-marital sex. Upon the problematisation of these forms of youth sexual misconduct, the author will recommend policies that both local governments and the ASEAN could adopt and exercise in response to curtailing the prevalence of discussed delinquency. Overall, this chapter shall contain the scholarly value that helps SEA control or contain the social harms, directly or indirectly, inflicted by the prevalence of sexual youth delinquency.