Showing posts with label Height. Show all posts
Showing posts with label Height. Show all posts
Tuesday, December 14, 2010
Pompeii Skeletons and Ancient Health Conditions
Am stuck in the office working on something so cannot get to the BBC documentary about Pompeii but the article is really interesting. The well-preserved skeletons found hiding in a basement to escape the volcano include several middle-aged and elderly people and people taller, on average, than the residents of modern Naples, according to the BBC report. There are obvious limitations in looking at skeletal remains to recover ancient health conditions and social structures but what a really interesting enterprise to attempt.
Sunday, December 12, 2010
The height of intelligence
The positive correlation between height and intelligence has been documented many times. It is attributed generally to deficits in early life nutrition. According to some this explains much of the height/earnings premium. So is there any evidence on this correlation for Ireland? Using the Growing Up in Ireland data I graph the students mathematics score against their height (adjusting for sex, SES and birthweight) along
with a 95% confidence interval.
So yes there is a slight upward gradient but it flattens out above about 1.25 metres, possibly even dipping at the very top of the range, the raw correlation is .114. But on the whole it looks fairly flat and shorter people who want to be mathematicians should not be discouraged.
with a 95% confidence interval.So yes there is a slight upward gradient but it flattens out above about 1.25 metres, possibly even dipping at the very top of the range, the raw correlation is .114. But on the whole it looks fairly flat and shorter people who want to be mathematicians should not be discouraged.
Labels:
Early Life Conditions,
Height,
intelligence,
mathematics
Thursday, October 21, 2010
The negative effect of height on well-being: a tall story?
This paper uses a cross-country representative sample of Europeans over the age of 50 to analyse whether individuals’ height is associated with higher or lower levels of well-being. Two outcomes are used: a measure of depression symptoms reported by individuals and a categorical measure of life satisfaction. It is shown that there is a concave relationship between height and symptoms of depression. These results are sensitive to the inclusion of several sets of controls reflecting demographics, human capital and health status. While parsimonious models suggest that height is protective against depression, the addition of controls, particularly related to health, suggests the reverse effect: tall people are predicted to have slightly more symptoms of depression. Height has no significant association with life satisfaction in models with controls for health and human capital.
Here also
Labels:
depression,
Health,
Height,
life satisfaction,
well-being
Saturday, August 21, 2010
Height and Selective Mortality
Empoverished early conditions affect stature through a variety of channels. In general we expect that people who grow up in environments with inadaquate nutrition, poor sanitation and so on to be shorter. Recent evidence from global surveys bears this out. However, a number of papers find that African countries in general deviate from expected heights. This is most clearly shown in a 2007 PNAS paper by Angus Deaton. Deaton's conclusion is an important one for people using height as an adult indicator of stressed early childhoods:
Steckel, Richard H.
Additional information is available for the following registered author(s):
Since 1995 approximately 325 publications on stature have appeared in the social sciences, which is more than a four-fold increase in the rate of production relative to the period 1977-1994. The expansion occurred in several areas, but especially within economics, indicating that heights are now widely accepted as useful measure of human welfare. Much of this new work extends beyond the traditional bailiwick of anthropometric history, including biological welfare during economic and political crises; anthropometric determinants of wages; the welfare of women relative to men in the contemporary world; the fetal origins hypothesis; and inequality in the developing world. The approach has also expanded within economic history to consider the consequences of empire for colonials; the health of populations lacking traditional measures of social performance; the consequences of smallpox; and very long-term trends in health. Much has also been learned about socioeconomic aspects of inequality, the welfare implications of industrialization, and socioeconomic determinants of stature. The last is a work in progress and one may doubt whether sufficient longitudinal evidence will become available for a complete understanding of the variety and strength of pathways that affect human physical growth.
This paper investigates the environmental determinants of height across 43 developing countries. Unlike in rich countries, where adult height is well predicted by mortality in infancy, there is no consistent relationship across and within countries between adult height on the one hand and childhood mortality or living conditions on the other. In particular, adult African women are taller than is warranted by their low incomes and high childhood mortality, not to mention their mothers' educational level and reported nutrition. High childhood mortality in Africa is associated with taller adults, which suggests that mortality selection dominates scarring, the opposite of what is found in the rest of the world.A recent review by Steckel is worth reading in terms of the considerations that should be employed when using height data:
Heights and human welfare: Recent developments and new directions
Author info | Abstract | Publisher info | Download info | Related research | Statistics| Author Info |
Additional information is available for the following registered author(s):
| Abstract |
Since 1995 approximately 325 publications on stature have appeared in the social sciences, which is more than a four-fold increase in the rate of production relative to the period 1977-1994. The expansion occurred in several areas, but especially within economics, indicating that heights are now widely accepted as useful measure of human welfare. Much of this new work extends beyond the traditional bailiwick of anthropometric history, including biological welfare during economic and political crises; anthropometric determinants of wages; the welfare of women relative to men in the contemporary world; the fetal origins hypothesis; and inequality in the developing world. The approach has also expanded within economic history to consider the consequences of empire for colonials; the health of populations lacking traditional measures of social performance; the consequences of smallpox; and very long-term trends in health. Much has also been learned about socioeconomic aspects of inequality, the welfare implications of industrialization, and socioeconomic determinants of stature. The last is a work in progress and one may doubt whether sufficient longitudinal evidence will become available for a complete understanding of the variety and strength of pathways that affect human physical growth.
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