The height gap in 19th-century America: net-nutritional advantage of the elite increased at the onset of modern economic growth.

We present evidence on the 19th-century trend in the height of male US passport applicants. These men represent a much wealthier segment of contemporary society than found in most stature samples previously analyzed. The height trend among the wealthy is much more robust in comparison to the average population that experienced a decline in stature. The resulting increase in the 'height gap'--by roughly 1 in. between cohorts born around 1820 and 1860--is in congruence with evidence on rising wealth inequality and the notion of dietary change in antebellum America.

Upward and onward: high-society American women eluded the antebellum puzzle.

We analyze archival evidence on the physical stature of 19th-century female US passport applicants. Heights in this group increased markedly at a time when the rest of the population was becoming shorter. While diseases may have affected the physical stature of everyone in the society, the fact that the height of elite women did not decline (and even increased) suggests that their families were wealthy enough to shield them completely from rising price of nutrients.

The transition to post-industrial BMI values among US children.

The trend in the BMI values of US children has not been estimated very convincingly because of the absence of longitudinal data. Our objective is to estimate time series of BMI values by birth cohorts instead of measurement years. We use five regression models to estimate the BMI trends of non-Hispanic US-born black and white children and adolescents ages 2-19 between 1941 and 2004. The increase in BMIZ values during the period considered was 1.3 sigma (95% CI: 1.16 sigma; 1.44 sigma) among black girls, 0.8 sigma for black boys, 0.7 sigma for white boys, and 0.6 sigma for white girls. This translates into an increase in BMI values of some 5.6, 3.3, 2.4, and 1.5 units, respectively. While the increase in BMI values started among the birth cohorts of the 1940s among black girls, the rate of increase tended to accelerate among all four ethnic/gender groups born in the mid-1950s to early-1960s. Some regional evidence leads to the conjecture that the spread of automobiles and radios affected the BMI values of boys already in the interwar period. We suppose that the changes in lifestyle associated with the labor saving technological developments of the 20th century are associated with the weight gains observed. The increased popularity of television viewing was most prominently associated with the contemporaneous acceleration in BMI gain.

Shrinking due to corpulence? BMI in childhood predicts subsequent linear growth among US children and youth, 1963-1970.

While the USA is one of the most opulent countries, its population is not among the tallest but is among the most corpulent. This short report investigates the association between body mass index in childhood and subsequent change in height-for-age at the individual level, based on data from the National Health Examination Study (1963-1970). A sub-sample of participants in this survey was measured twice at intervals between 2.3 and 4.4 years, and assessed bone age can be used to account for differences in maturation at baseline. Regression results indicate that a BMI-for-age above the 85th percentile is associated with a reduction in growth by 0.03-0.06 height-for-age standard deviations per year, or roughly 1 cm within 4 years. An inefficiently high nutritional status in childhood may thus jeopardize subsequent linear growth. However, the trans-Atlantic height gap is considerably larger than what this empirical relationship could predict.

Physical stature and intelligence as predictors of the timing of baby boomers' very first dates.

The paper analyses to what extent the timing of the very first date of American adolescents in the 1960s correlated with their physical stature and cognitive ability. Using an event history approach, it was found that intelligence and a weight slightly above the average raised the odds of arranging a first rendezvous, whereas the effect of height was gender-specific. Tallness improved chances among boys, whereas girls whose height was slightly below the average had the highest odds. This pattern was mirrored by the adolescents' evaluation of their own physical stature. The fact that the estimated associations are remarkably similar to those observed in the literature on fertility and wages suggests that these attributes are selection criteria in situations of social interaction already among adolescents.

Toward generation XL: anthropometrics of longevity in late 20th-century United States.

All-cause and cause-specific mortality among white U.S. men and women are analyzed using the NHANES I data (1971-1975) and epidemiologic follow-up to 1992, to examine the effect of physical stature on mortality, controlling for other confounding variables within a discrete-time framework. We find an association between mortality and both body mass index (BMI) and height, but the height effect is sensitive with respect to the age range under consideration. Although the resulting minimum-mortality BMI is higher than the widely accepted healthy range, the recent increase in weight implies that further gains in life expectancy are unlikely to derive from the anthropometry-mortality relationship.

Boom, bust, and the human body: further evidence on the relationship between height and business cycles.

Historical time series for average human height exhibit short- and medium-term cycles that can be associated with business cycles in the 19th and 20th century. Using spectral analysis, we calculate the proportion of cyclical fluctuations in height series attributable to economic cycles. We also analyze the extent to which these cyclical phenomena change over time. In the U.S., the association between height cycles and business cycles was weaker among richer segments of the society, and weaker among men than among women. Additionally, the relationship diminished over time, probably with the rich preceding the population at large.

The empirical relationship between longevity and physical stature may be obscured by unobserved genetic diversity in the optimal metabolic rate.

It is hypothesized that an inheritable "optimal" metabolic rate is associated with the lowest attainable mortality risk, greatest attainable height (in youth) and a desirable body weight. Positive deviations from this rate are reflected in overweight and higher mortality, negative deviations in shorter stature (stunting), low body mass index (BMI), and higher mortality. In a heterogeneous population the optimal rate may differ among genotypes, and those with a higher optimal rate are the ones who can translate more energy intake into growth in height such that under optimal net-nutritional intake, they are able to reach a greater final adult height with a lower body mass index than genotypes with a lower optimal rate. Hence, the optimal height and weight - in terms of longevity - may differ substantially among genotypes, so that an empirical estimation of the relationship may be blurred in a heterogeneous society. Conversely, the "true" association (within genotypes) may be stronger than the measured one, which may have some implications for the contribution of the secular increase in human height to the rise in life expectancy or the optimal BMI in persons who experienced stunting in youth.

The height of Tennessee convicts: another piece of the "antebellum puzzle".

Average height of the free population in the United States born in the mid-1830s began to decline despite growing per capita incomes. Explanations for this "antebellum puzzle" revolve around a possibly deteriorating disease environment promoted by urban agglomeration and increases in the relative price of protein-rich foods. However, several groups were immune to the effect, including members of the middle class, whose income was high enough, and increased enough to overcome the adverse developments and maintain their nutritional status. Although at the opposite end of the social spectrum, the height of male slaves also increased, as it was in their owners' interest to raise their slaves' food allotments. The height of Tennessee convicts, analyzed in this article, also increased in the late-1830s, being the third exception to the "antebellum puzzle." Mid-19th century Tennessee was integrated into interstate commerce in cotton and tobacco and experienced considerable movement of people who would have brought with them diseases from elsewhere, hence, it would have been integrated into the US disease pool, and the fact that heights did not decline in the 1830s is therefore an indication that the antebellum puzzle cannot be explained exclusively by the spread of diseases. Yet, Tennessee's economy was quite different to that of the rest of the country. Although it did export live swine to the South, these exports did not increase during the antebellum decades. Hence, Tennessee remained self-sufficient in pork, and consumption of pork did not decline. Thus, the evidence presented here is consistent with the economic interpretation of the "antebellum puzzle": self-sufficiency in protein production protected even the members of the lower-classes of Tennessee from the negative externalities associated with the onset of industrialization.

Non-parametric regression with BayesX: a flexible estimation of trends in human physical stature in 19th century America.

The recently developed computer program BayesX provides a Bayesian approach to the estimation of non-parametric additive models. Such models can be useful in applications when the effect of metrical covariates (such as time) are to be estimated while controlling for other factors. In an application of this methodology, trends in the height of West Point cadets in the 19th century are estimated. The results indicate that the biological standard of living of the "middle class" increased relative to the rest of the American society during the Antebellum years.

The making of giants in a welfare state: the Norwegian experience in the 20th century.

The population of Norway has become one of the tallest in the world even overtaking Americans during the course of the second half of the 20th century-not in terms of income, but in terms of physical stature and other indicators of biological welfare, such as longevity. This is also the case in several other west-European welfare states. Both income and physical stature have converged across Norwegian counties since the 1930s. We formulate the hypothesis that the west-European and Scandinavian welfare states perform well in mitigating spatial inequality in well being, in the sense that they translate income quite effectively into the biological well being of the population as a whole.