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Background: There is a common perception that tall stature results in social dominance. Evidence in meerkats suggests that social dominance itself may be a strong stimulus for growth. Relative size serves as the signal for individuals to induce strategic growth adjustments. Aim: We construct a thought experiment to explore the potential consequences of the question: is stature a social signal also in humans? We hypothesize that (1) upward trends in height in the lower social strata are perceived as social challenges yielding similar though attenuated upward trends in the dominant strata, and that (2) democratization, but also periods of political turmoil that facilitate upward mobility of the lower strata, are accompanied by upward trends in height. Material and methods: We reanalyzed large sets of height data of European conscripts born between 1856-1860 and 1976-1980; and annual data of German military conscripts, born between 1965 and 1985, with information on height and school education. Results: Taller stature is associated with higher socioeconomic status. Historic populations show larger height differences between social strata that tend to diminish in the more recent populations. German height data suggest that both democratization, and periods of political turmoil facilitating upward mobility of the lower social strata are accompanied by a general upward height spiral that captures the whole population. Discussion: We consider stature as a signal. Nutrition, health, general living conditions and care giving are essential prerequisites for growth, yet not to maximize stature, but to allow for its function as a lifelong social signal. Considering stature as a social signal provides an elegant explanation of the rapid height adjustments observed in migrants, of the hitherto unexplained clustering of body height in modern and historic cohorts of military conscripts, and of the parallelism between changes in political conditions, and secular trends in adult human height since the 19th century.
The anatomically modern human Homo sapiens sapiens is distinguished by a high adaptability in physiology, physique and behaviour in short term changing environmental conditions. Since our environmental factors are constantly changing because of anthropogenic influences, the question arises as to how far we have an impact on the human phenotype in the very sensitive growth phase in children and adolescents. Growth and development of all children and adolescents follow a universal and typical pattern. This pattern has evolved as the result of trade-offs in the 6-7 million years of human evolution. This typically human growth pattern differs from that of other long-living social primate species. It can be divided into different biological age stages, with specific biological, cognitive and socio-cultural signs. Phenotypic plasticity is the ability of an organism to react to an internal or external environmental input with a change in the form, state, and movement rate of activity (West-Eberhard 2003). The plasticity becomes visible and measurable particularly when, in addition to the normal variability of the phenotypic characteristics within a population, the manifestation of this plasticity changes within a relatively short time. The focus of the present work is the comparison of age-specific dimensional changes. The basic of the presented studies are more than 75,000 anthropometric data-sets of children and adolescence from 1980 up today and historical data of height available in scientific literature. Due to reduced daily physical activity, today's 6-18 year-olds have lower values of pelvic and elbow breadths. The observed increase in body height can be explained by hierarchies in social networks of human societies, contrary to earlier explanations (influence of nutrition, good living conditions and genetics). A shift towards a more feminine fat distribution pattern in boys and girls is parallel to the increase in chemicals in our environment that can affect the hormone system. Changing environmental conditions can have selective effects over generations so that that genotype becomes increasingly prevalent whose individuals have a higher progeny rate than other individuals in this population. Those then form the phenotype which allows optimum adaptation to the changes of the environmental conditions. Due to the slow patterns of succession and the low progeny rate (Hawkes et al. 1998), fast visible in the phenotype due to changes in the genotype of a population are unlikely to occur in the case of Homo sapiens sapiens within short time. In the data sets on which the presented investigations are based, such changes appear virtually impossible. The study periods cover 5-30 to max.100 years (based on data from the body height from historical data sets).
Background: Human populations differ in height. Recent evidence suggests that social networks play an important role in the regulation of adolescent growth and adult height. We further investigated the effect of physical connectedness on height.
Material and methods: We considered Switzerland as a geographic network with 169 nodes (district capitals) and 335 edges (connecting roads) and studied effects of connectedness on height in Swiss conscript from 1884-1891, 1908-1910, and 2004-2009. We also created exponential-family random graph models to separate possible unspecific effects of geographic vicinity.
Results: In 1884-1891, in 1908-1910, and in 2004-2009, 1st, 2nd and 3rd order neighboring districts significantly correlate in height (p<0.01). The correlations depend on the order of connectedness, they decline with increasing distance. Short stature districts tend to have short, tall stature districts tend to have tall neighbors. Random network analyses suggest direct road effects on height. Whereas in 1884-1891, direct road effects were only visible between 1st order neighbors, direct road effects extended to 2nd and 3rd in 1908-1910, and in 2004-2009, also to 4th order neighbors, and might reflect historic improvements in transportation. The spatial correlations did not significantly change when height was controlled for goiter (1884-1889) and for median per capita income (2006), suggesting direct road effects also in goiter-allowed-for height and income-allowed-for height.
Conclusion: Height in a district depends on height of physically connected neighboring districts. The association decreases with increasing distance in the net. The present data suggest that people can be short because their neighbors are short; or tall because their neighbors are tall (community effect on growth). Psycho-biological effects seem to control growth and development within communities that go far beyond our current understanding of growth regulation.