Casting shadows: later-life outcomes of stature.

The central question in this special issue is a relatively new one in anthropometric history: how did body height affect the life course? This raises the issue of whether such an effect merely captures the underlying early-life conditions that impact growth, or whether some independent effect of stature can be discerned. Further, the effects of height on later-life outcomes need not be linear. These effects may also differ by gender, by context (time and place), and among life course domains such as occupational success, family formation or health in later life. The ten research articles in this issue use a plethora of historical sources on individuals, such as prison and hospital records, conscript records, genealogies and health surveys. These articles employ a variety of methods to distinguish between early-life and later-life effects, between intra- and intergenerational processes and between biological and socio-economic factors. Importantly, all articles discuss the impact of the specific context on their results to understand these effects. The overall conclusion is that independent later-life outcomes of height are rather ambiguous, and seem to stem more from the perception of physical strength, health and intelligence associated with height than from height itself. This special issue also reflects on intergenerational effects of the later-life outcomes of height. As populations have grown taller, it is possible that height and later-life outcomes have formed a 'virtuous cycle', resulting in taller, healthier and wealthier populations. So far, however, our research offers little support for this hypothesis.

Short Lives: The Impact of Parental Death on Early-Life Mortality and Height in the Netherlands, 1850-1940.

We investigate how experiencing parental death in infancy, childhood, or adolescence affected individuals' health using two distinct measures: mortality before age 20 and young adult height. Using two complementary indicators of health enables us to gain more insights into processes of selection and the scarring of health. Employing nationally representative data for the Netherlands for the 1850-1940 period, we analyze the survival of roughly 36,000 boys and girls using Cox proportional hazard models, and the stature of more than 4,000 young adult men using linear regression models. Results show that losing a parent-particularly a mother-at an early age (0-1 or 1-5) was related to a strongly increased risk of mortality. We find no evidence that losing a parent at these ages affected stature in young adulthood. For boys, experiencing maternal death between ages five and 12 was strongly associated with a shorter young adult height; however, we did not find evidence for an association between experiencing paternal death and shorter stature. We conclude that stature may not be a particularly good measure of the effects of early-life adversity if the health shock greatly increases mortality, as these effects create potential issues of health selection.

Grow fast, die young? The causes and consequences of adult height and prolonged growth in nineteenth century Maastricht.

BACKGROUND: Both adult body height and the developmental growth trajectory have been found to be important predictors of later-life mortality. However, evidence for these relationships largely comes from contemporary populations, where most people live until old-age. It is an open question how height and growth impact later-life mortality in a population where death before old-age is more common. We therefore study the causes and mortality consequences of height and growth in a high-mortality, nineteenth-century Dutch population. METHODS: We exploit a unique dataset from three sources: conscription records with late-adolescent height, standing militia registers with adult height, and individual cause-of-death and age-at-death information. Our study is set in the Dutch city of Maastricht. To determine the causes of height and growth (either early-life environmental conditions or shared family inheritance), we use Pearson's correlation tests and multilevel linear models. To determine height and growth's consequences, we use survival analyses, for all-cause mortality and cause-specific mortality. RESULTS: Regarding the causes of height and growth, we find that prolonged growth and adolescent height are more strongly associated with external environmental factors than shared family inheritance. Adult height is more strongly related to shared family inheritance. Regarding the consequences of height and growth, we find that being taller in adulthood and growing faster are significantly associated with an increased hazard of death for the all-cause mortality model. CONCLUSIONS: While we find the 'usual suspects' for the causes of height and growth, our findings for the consequences are surprising: the tallest individuals who grow the fastest have the highest hazard of death. Our results may be explained by a selection effect: the tall, fast growers may be the least-selected in early-life, and are therefore more vulnerable than their peers in adulthood.

Homemakers and heights. Intra-household resource allocation and male stature in the Netherlands, 1860-1930.

In this article we test the hypothesis that the secular increase in heights in the course of the second half of the nineteenth century was associated with the rise of the breadwinner-homemaker household. In these 'modern' households, women raised the living standards (quality and quantity of food, hygiene and care) for all members, especially the children. We model the assumed contributions to the family budget by age and gender of household members, and find that a strong imbalance between consumers and producers in the household put severe strains on effective resource allocation, leading to lower net nutrition and lower young adult heights. We suggest a carefully calibrated consumer/producer ratio as an indicator to capture these effects. The ratio is not meant to replace others, and we show that sibling rank order as well as gender preferences also played a role in intra-household resource allocation. For our research, we have used a database with reconstructed life histories (including co-residence) of 3003 Dutch army recruits. Our results indicate that the consumer/producer ratio as experienced by recruits in their early life indeed had a strong impact (-1,8 cm) on their heights. However, this effect differed by social class, which can be explained by differences in acceptance of the income pooling model.

Meeting Report: The Role of Beliefs and Perception on Body Size. Proceedings of the 26th Aschauer Soiree, Held at Aschauhof, Altenhof, Germany, May 26th, 2018.

Thirty-one scientists met at Aschauhof, Germany to discuss the role of beliefs and self-perception on body size. In view of apparent growth stimulatory effects of dominance within the social group that is observed in social mammals, they discussed various aspects of competitive growth strategies and growth adjustments. Presentations included new data from Indonesia, a cohort-based prospective study from Merida, Yucatan, and evidence from recent meta-analyses and patterns of growth in the socially deprived. The effects of stress experienced during pregnancy and adverse childhood events were discussed, as well as obesity in school children, with emphasis on problems when using z-scores in extremely obese children. Aspects were presented on body image in African-American women, and body perception and the disappointments of menopause in view of feelings of attractiveness in different populations. Secular trends in height were presented, including short views on so called 'racial types' vs bio-plasticity, and historic data on early-life nutritional status and later-life socioeconomic outcomes during the Dutch potato famine. New tools for describing body proportions in patients with variable degrees of phocomelia were presented along with electronic growth charts. Bio-statisticians discussed the influence of randomness, community and network structures, and presented novel tools and methods for analyzing social network data.