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In this chapter, I review recent evidence on the developmental origins of health inequality. I discuss the origins of the education-health gradient, the long-term costs caused by early life adversity, and how early life experiences affect the biology of the body. Additionally, I provide complementary evidence on enrichment interventions which can at least partially compensate for these gaps. I highlight emerging lines of scientific inquiry which are likely to have a significant impact on the field. I argue that, while the evidence that early life conditions have long-term effects is now uncontroversial, the literature needs to be expanded both in a theoretical and empirical direction. On the one hand, a model linking early life origins to ageing needs to be developed; on the other hand, a better understanding of the mechanisms – both biological and socioeconomic – is required, in order to design more effective interventions.

Prenatal exposure to adverse conditions is known to affect health throughout the life span. It has also been shown that health is unevenly distributed at advanced ages. This chapter investigates whether health inequalities at old age may be partially caused by prenatal circumstances. We use a sample of people aged 71–91 from eight European countries and assess how shocks in GDP that occurred while the respondents were still in utero affect four important dimensions of later-life health: cognition, depression, functional limitations, and grip strength. We find that early-life macro-economic circumstances do not affect health at advanced ages, nor do they affect inequalities in health. In additional analyses, we show that the least healthy people may not enter our sample as the probability of dying before reaching age 71 is high, and mortality rates among those who were prenatally exposed to adverse GDP shocks are higher. We conclude that selective mortality may mask effects of early-life circumstances on health and health inequality at old age.

We use Cross-National Equivalent File (CNEF) data from the United States and Great Britain to investigate the association between adults’ health and the income inequality they experienced as children up to 80 years earlier. Our inequality data track shares of national income held by top income percentiles from the early 20th century. We average those data over the same early-life years and merge them to CNEF data from both countries that measure self-reported health of individuals between 1991 and 2007. Observationally, adult men and women in the United States and Great Britain less often report being in better health if inequality was higher in their first five years of life. Although the trend in inequality is similar in both countries over the past century, the empirical association between health and inequality in the United States differs substantially from the estimated relationship in Great Britain. When we control for demographic characteristics, measures of permanent income, and early-life socio-economic status, the health–inequality association remains robust only in the U.S. sample. For the British sample, the added controls drive the coefficient on inequality toward zero and statistical insignificance.

Young adults are living and working in uncertain economic climates and increasingly exposed to precarious work. Are preferences for job security and actual job stability a result of proximal conditions, or do experiences in adolescence also play a role? The adolescent’s environment and experiences may help explain differences in preferences with regards to stable work, as well as work outcomes in early adulthood.

In this chapter, I use data from the Youth Development Study (YDS) to test three facets of the adolescent experience between ages 14 and 18 – parental work and educational characteristics, adolescents’ academic achievement, and youth employment – as factors shaping (1) respondents’ preferences for stable employment, (2) respondents’ perceived job insecurity, and (3) respondents’ likelihood of being in nonstandard work in early adulthood, age 31–32, approximately 15 years later.

Adolescent experiences and environments are related to young adults’ preferences for stable employment, likelihood of being in nonstandard work, and likelihood of reporting job insecurity in early adulthood, suggesting the significance of early life experiences as well as the importance of intergenerational transmission processes for the early adult years.

This study points to the important role of adolescent experiences in initiating a trajectory of work preferences and attainment.

The Spanish Flu 1918–1920 saw a high degree of excess mortality among young and healthy adults. The purpose of this paper is a further exploration of the hypothesis that high mortality risk during The Spanish Flu in Copenhagen was associated with early life exposure to The Russian Flu 1889–1892.

Based on 37,000 individual-level death records in a new unique database from The Copenhagen City Archives combined with approximate cohort-specific population totals interpolated from official censuses of population, the author compiles monthly time series on all-cause mortality rates 1916–1922 in Copenhagen by gender and one-year birth cohorts. The author then analyses birth cohort effects on mortality risk during The Spanish Flu using regression analysis.

The author finds support for hypotheses relating early life exposure to The Russian Flu to mortality risk during The Spanish Flu. Some indications of possible gender heterogeneity during the first wave of The Spanish Flu – not found in previous studies – should be a topic for future research based on data from other countries.

Due to lack of individual-level death records with exact dates of birth and death, previous studies on The Spanish Flu in Denmark and many other countries have relied on data with lower birth cohort resolutions than the one-year birth cohorts used in this study. The analysis in this paper illustrates how archival Big Data can be used to gain new insights in studies on historical pandemics.

Argues that in the coming years the present methods of demonstrating reliability will no longer be feasible and alternative methods must be found. Deals with building‐in reliability (BIR) and the necessity to change from the standard end‐of‐line‐measurement technique of life test to a more proactive in‐line approach, where reliability can be measured by process parameters and reaction time is immediate, resulting in a continuous flow of reliable product to the end user. This approach will not eliminate the use of end‐of‐line monitoring, but will reduce the amount which needs to be carried out. Suggests that it will only be done to demonstrate that processes are operating to certain maximum failure rates, where the online controls will in fact guarantee that the reliability is much greater than that being demonstrated. Examines the customers’ attitude towards reliability, and points out that sharing of data will be essential if the BIR approach is to be successful. Outllines two examples which demonstrate the effectiveness of a BIR program and explains how, if implemented, it can be used to prevent the manufacture of potentially unreliable product.

In this paper, the authors attempt to understand how labour market attachment during the ages of 30–59 influences individuals' transition out of the labour market.

Using high-quality Swedish register data, the authors follow individuals born in 1950 and observe their labour market attachment during mid-life and their exit from the labour market.

The authors find evidence that labour market attachment in different stages of the career is differently related to exit from the labour market. At the age of 30, as well as between the ages 50–59, low attachment is related with earlier exit from the labour market. On the contrary, low labour market attachment during the ages 40–49 is related with later exit from the labour market. However, regardless of age, lower labour market attachment increases the risk of work-related benefit receipt in the exit year. The authors also find evidence that gender, migration status and childhood socioeconomic disadvantages may represent obstacles to longer working lives, while high education is a consistent factor in avoiding early exit from the labour market.

This study provides insights on the link between labour market attachment in different stages of the career and the exit from the labour market as well as work-related benefits dependency in the year of exit.

Social science and media depictions of youth living on our city streets typically focus on their “risk behaviours,” especially illicit drug use and unprotected sex, the social environmental challenges they face, in particular higher likelihood of sexual and physical assault and homicide (Tyler, Hoyt, & Whitbeck, 2000; Auerswald & Eyre, 2002; Pedersen & Hegna, 2003; Brooks, Milburn, Rotheram, & Witkin, 2004; Ensign & Bell, 2004; Raleigh-DuRoff, 2004; Hyde, 2005; Witkin et al., 2005) and their delinquent/criminal behaviour (Hartnagel, 1998). This focus on the multiple “risks” that street youth face has been accompanied by the search for determinants of the risk factors for street involvement, such as parental substance abuse and child neglect. Female street youth have been depicted as particularly vulnerable, partly because once on the street, they come under the control of male recruiters who make the girls drug-dependent and force them into trading sexual favours for money or in-kind goods. According to Bagley and Young (1987, p. 23), “the girl who finally tries prostitution is one who is already degraded and demoralized, in a state of psychological bondage, with grossly diminished self-confidence.” Adults who exploit these female street youth are believed to take advantage of their feelings of disconnectedness and low self-esteem and isolation (Silbert & Pines, 1981, 1982a, 1982b) and addiction to substances (Green & Goldberg, 1993). Yet, many females who were victims of childhood physical and sexual abuse do not end up on the street, nor do all those who were abused and end up on the street (male as well as female) become involved in prostitution, and, finally, many males and females who become involved in prostitution have no history of early abuse (Hagan & McCarthy, 1997).

The Epidemiologic Transition can help us understand a fundamental puzzle about aging. The puzzle stems from two seemingly contradictory facts. The first fact is that death rates from noninfectious degenerative maladies – the so-called diseases of aging – increase as people age. It seems to be at odds with the historical fact that for nearly a century in which people were aging more than ever before, the aggregate rates of such diseases have been decreasing. In what sense can both be true? Crucial to resolving the puzzle are the age-profiles of such diseases in cohorts that grew up in the different regimes of the Transition. For each cohort, noninfectious diseases had increased with age, resulting in an upward-sloping age profile, which affirms the first fact. As the regimes were transitioning from the Malthusian to the modern one, however, the profiles of successive cohorts had been shifting downward: death rates from noninfectious diseases were shrinking at each age, signifying the newer cohorts’ greater aging potentials. The shifting profiles had been renewing the cohort mix of the population, shaping the century-long descent of such diseases in aggregate, giving rise to the historical fact. The profiles had shifted early in the cohorts’ adult years, associating closely with the newer epidemiologic conditions in childhood. Those conditions appear to be a circumstance under which aging potentials of cohorts could be misgauged, including in one troubling episode in the first half of the nineteenth century when the potentials had reversed.

Empirical studies show that years of schooling are positively correlated with good health. The implication may go from education to health, from health to education, or from factors that influence both variables. We formalize a model that determines an individual’s demand for knowledge and health based on the causal effects, and study the impacts on the individual’s decisions of policy instruments such as subsidies on medical care, subsidizing schooling, income tax reduction, lump-sum transfers, and improving health at young age. Our results indicate that income redistribution policies may be the best instrument to improve welfare, while a medical care subsidy is the best instrument for longevity. Subsidies to medical care or education would require large imperfections in these markets to be more welfare improving than distributional policies.