Historical Demography

Summary

Historical demography and epidemiology examine the long-run relationships between population change, disease patterns, and health interventions. The field’s heyday ran from the late 1960s through the early 1990s, organized around two master narratives — demographic transition theory and epidemiological transition theory — both of which have been substantially complicated by subsequent research. The central contested question remains what drove the dramatic mortality decline of the nineteenth and twentieth centuries: nutrition, public health infrastructure, medical intervention, or some variable combination of all three.

Foundational Frameworks

Thomas Malthus introduced a homoeostatic model of population growth at the turn of the nineteenth century, arguing that preventive checks (delayed marriage reducing fertility) or positive checks (increased mortality) restore equilibrium between population and food supply.(Jackson (ed.), 2011) This framework established the conceptual vocabulary — preventive and positive checks, population pressure, subsistence limits — within which subsequent demographic theory would operate.

Abdel Omran formulated epidemiological transition theory in 1971 as an alternative to demographic transition theory, which he considered economically deterministic and reductionist. Omran outlined three eras of mortality change: an “age of pestilence and famine,” an age of “receding pandemics,” and an “age of degenerative and man-made diseases.”(Jackson (ed.), 2011) Thomas McKeown’s 1976 Modern Rise of Population was a totemic work that coincided with the heyday of historical demography and epidemiology, arguing that rising living standards and improved nutrition, rather than medical intervention, were primarily responsible for mortality decline.(Jackson (ed.), 2011)

Critiques of Transition Theories

The European Fertility Project at Princeton University confirmed the relative simultaneity of fertility decline from the 1870s across much of the European continent, but this very finding undermined simple economic-determinist explanations, since countries at very different levels of development experienced fertility decline at roughly the same time.(Jackson (ed.), 2011) Historical research on fertility has “dramatically shattered” the dominant consensus about demographic transition that prevailed in the 1950s and 1960s, showing that fertility decline preceded mortality decline in some countries such as France and the United States.(Jackson (ed.), 2011)

Condrau and Worboys described as chimerical the very notion that Victorian Britain underwent an “epidemiological transition” at all, arguing for the need to disaggregate mortality data by age, sex, place, and other variables before grand narratives could be sustained.(Jackson (ed.), 2011) These critiques collectively suggest that the transition frameworks, while heuristically useful, imposed a false linearity on processes that were in fact geographically uneven, temporally non-sequential, and causally overdetermined.

Long-Run Demographic Data

The sparse data available for pre-modern populations provide crucial anchor points for measuring change. The Roman Empire in the first century CE had a population that was 6-8 per cent over the age of sixty.(Jackson (ed.), 2011) World life expectancy went from 22 at the beginning of the Common Era, to 27 in 1750, 35 in 1950, and 58 in 2000, a trajectory in which the vast majority of improvement occurred in the last 250 years and accelerated sharply after the mid-twentieth century.(Jackson (ed.), 2011)

The question of when old age began is itself historically contested. Shulamith Shahar argued that, contrary to the accepted view, people in the Middle Ages and Renaissance were classified as old between the ages of 60 and 70, not from their forties.(Jackson (ed.), 2011) Ignatz Nascher coined the term “geriatrics” in the early twentieth century, distinguishing it from gerontology and emphasizing that disease in old age is a pathological process in a normally degenerating body.(Jackson (ed.), 2011)

Life Course and the Barker Hypothesis

The Barker hypothesis demonstrated a positive relationship between low birth-weight and increased risk of coronary heart disease, hypertension, stroke, and type 2 diabetes in later life.(Jackson (ed.), 2011) This finding introduced a life-course dimension to historical demography, linking conditions of fetal and infant development to adult chronic disease patterns decades later. The implication for historical interpretation is that mortality patterns in one generation may be partly determined by nutritional and environmental conditions experienced by the previous generation in utero and infancy, complicating any simple attribution of mortality decline to contemporaneous causes.

See Also

• public-health — Sanitation, water purification, and the McKeown debate
• childhood-health — Anthropometric approaches linking childhood nutrition to population health
• social-medicine — Medicine oriented toward social determinants of health