Body mass, wealth, and inequality in the 19th century: joining the debate surrounding equality and health

Biological Differences between Late 19th and Early 20th Century Urban and Rural Residence

Communities urbanize when the net benefits to urbanization exceed rural areas. Body mass, height, and weight are biological welfare measures that reflect the net difference between calories consumed and calories required for work and to withstand the physical environment. Individuals of African-decent had greater BMIs, heavier weights, and shorter statures. Urban farmers had lower BMIs, shorter statures, and lower weight than rural farmers. Over the late 19th and early 20th centuries, urban and rural BMIs, height, and weight were constant, and rural farmers had greater BMIs, taller statures, and heavier weights than urban farmers and workers in other occupations.

Wealth and Child Mortality in the Nineteenth-Century United States: Evidence from Three Panels of American Couples, 1850-1880

With only a few exceptions, the historical study of individual-level correlates of child mortality in the United States has been limited to the period surrounding the turn of the twentieth century, when children ever born and children surviving data collected by the 1900 and 1910 censuses allow indirect estimation of child mortality. The recent release of linked census data, such as the IPUMS MLP datasets, allows a different type of indirect estimation over a longer period. By following couples across subsequent decennial censuses, it is possible to infer child mortality by measuring whether couples' own children in the first census were still present in the second census. We focus our analysis on children aged 1-3 in the first of two linked censuses, who were less likely to be undercounted by the census than infants, and unlikely to be living apart from their parents in the second census. We estimate child mortality over the intervening decade and use OLS regression to correlate that mortality to the residence location and socioeconomic characteristics of their parents' households. We limit our analysis to three panel datasets for married couples linked between the 1850-60, 1860-70, and 1870-80 censuses, when real estate and personal estate wealth data were collected. Our results indicate a significant negative relationship between wealth and child mortality across all regions of the United States and over the entire period examined.

Biological Well-Being and Inequality in Canary Islands: Lanzarote (Cohorts 1886-1982)

Developments in anthropometric history in the Iberian Peninsula have been remarkable in recent decades. In contrast, we barely know about the behavior of insular population groups and infants' and adults' growth during the nutritional transition in the Canary Islands. This paper analyzes the height, weight and body mass index of military recruits (conscripts) in a rural municipality from the eastern Canaries during the economic modernization process throughout the 20th century. The case study (municipality of San Bartolomé (SB) in Lanzarote, the island closest to the African continent) uses anthropometric data of military recruits from 1907-2001 (cohorts from 1886 to 1982). The final sample is composed of 1921 recruits' records that were measured and weighed at the ages of 19-21 years old when adolescent growth had finished. The long-term anthropometric study is carried out using two approaches: a malnutrition and growth retardation approach and an inequality perspective. In the first one, we use the methodology recommended by the World Health Organization (WHO) that is based on z-scores. In the second one, we implement several inequality dimensions such as the coefficient of variation (CV), percentiles and an analysis for height and BMI evolution by five socioeconomic categories. The data suggest that improvements in biological well-being were due to advances in nutrition since the 1960s. They show that infant nutrition is sensitively associated with economic growth and demographic and epidemiological changes.

Net nutrition on the late 19th and early 20th century American Great Plains: a robust biological response to the challenges to the Turner Hypothesis

In 1893, Frederick Jackson Turner proposed that America's Western frontier was an economic 'safety-valve' - a place where settlers could migrate when conditions in eastern states and Europe crystallized against their upward economic mobility. However, recent studies suggest the Western frontier's material conditions may not have been as advantageous as Jackson proposed because settlers lacked the knowledge and human capital to succeed on the Plains and Far Western frontier. Using stature, BMI and weight from five late 19th and early 20th century prisons, this study uses 61,276 observations for men between ages 15 and 79 to illustrate that current and cumulative net nutrition on the Great Plains did not deteriorate during the late 19th and early 20th centuries, indicating that recent challenges to the Turner Hypothesis are not well supported by net nutrition studies.

Length of residence and obesity risk among North African immigrant women in Italy

Obesity is one of the major risks for chronic health conditions. Immigrants from low- and middle-income to high-income countries show a tendency to weight gain, with the country of origin, lifestyle habits, socioeconomic status and length of residence as the main factors involved. Thus, the aim of this study was to analyze the association between fat distribution and obesity with length of residence and other socio-demographic variables in a sample of North African women migrated to Italy. Socio-demographic variables were collected by structured face-to-face interview. For the assessment of weight status and body composition, various anthropometric traits were directly measured by an expert anthropometrist. Data were analyzed using ANCOVA adjusted for age to test the differences between length of residence (divided into three groups) and logistic regression models adjusted for covariates to test the association between overweight and/or obesity and length of residence. Significant differences between the three groups were observed in waist circumference (p = 0.004), waist-to-hip ratio (p = 0.001), and upper arm muscularity (p = 0.025), with higher values in those with longer duration of residence. In the crude logistic regression model length of residence resulted positively associated with obesity with the odds of being obese increased by 2.4 times in long term immigrants [OR 2.364 (0.766; 7.296)]. After adjusting for covariate the association remained significant [OR 3.584 (0.779; 16.480)], and being poorly educated [OR 5.737 (0.641; 51.363)], unemployed [OR 6.892 (0.940; 50.528)] and not practicing regular physical activity [OR 17.736 (1.569; 200.418)] increased the odds ratio of being obese. In conclusion, length of residence, socioeconomic status, and physical activity were significantly correlated with obesity, with a longer duration of residence being positively associated with central fat adiposity and upper arm muscle area in North African migrant women.

Health and income inequalities in Europe: What is the role of circumstances?

Equality of opportunity theories distinguish between inequalities due to individual effort and those due to external circumstances. Recent research has shown that half of the variability in income of World population was determined by country of birth and income distribution. Since health and income are generally strictly related, the aim of this paper is to estimate how much variability in income and health is determined by external circumstances. We use data from the Survey of Health, Ageing and Retirement (SHARE) and the English Longitudinal Survey on Ageing (ELSA), two comparable multidisciplinary surveys that provide micro-level data on health and financial resources among the elderly for a large number of European countries. Our baseline estimation shows that about 20% of the variability in income is explained by current country-specific circumstances, while health outcomes range from 12% using BMI to 19% using self-rated health. By including early-life circumstances, the explained variability increases almost 20 percentage points for income and for self-rated health but less for other health outcomes. Finally, by controlling for endogeneity issues linked with effort, our estimates indicate that circumstances better explain variability in health outcomes. Results are robust to some tests, and the implications of these findings are discussed.

Individual health and the visibility of village economic inequality: Longitudinal evidence from native Amazonians in Bolivia

Mounting evidence suggests that income inequality is associated with worse individual health. But does the visibility of inequality matter? Using data from a horticultural-foraging society of native Amazonians in Bolivia (Tsimane'), we examined whether village inequality in resources and behaviors with greater cultural visibility is more likely to bear a negative association with health than village inequality in less conspicuous resources. We draw on a nine-year annual panel (2002-2010) from 13 Tsimane' villages for our main analysis, and an additional survey to gauge the cultural visibility of resources. We measured inequality using the Gini coefficient. We tested the robustness of our results using a shorter two-year annual panel (2008-2009) in another 40 Tsimane' villages and an additional measure of inequality (coefficient of variation, CV). Behaviors with low cultural visibility (e.g., household farm area planted with staples) were less likely to be associated with individual health, compared to more conspicuous behaviors (e.g., expenditures in durable goods, consumption of domesticated animals). We find some evidence that property rights and access to resources matter, with inequality of privately-owned resources showing a larger effect on health. More inequality was associated with improved perceived health - maybe due to improved health prospects from increasing wealth - and worse anthropometric indicators. For example, a unit increase in the Gini coefficient of expenditures in durable goods was associated with 0.24 fewer episodes of stress and a six percentage-point lower probability of reporting illness. A one-point increase in the CV of village inequality in meat consumption was associated with a 4 and 3 percentage-point lower probability of reporting illness and being in bed due to illness, and a 0.05 SD decrease in age-sex standardized arm-muscle area. In small-scale, rural societies at the periphery of market economies, nominal economic inequality in resources bore an association with individual health, but did not necessarily harm perceived health. Economic inequalities in small-scale societies apparently matter, but a thick cultural tapestry of reciprocity norms and kinship ties makes their effects less predictable than in industrial societies.

Body mass index values of conscripts in the Polish lands under Prussian rule in the late 19th and early 20th centuries

The Body Mass Index (BMI) of conscripts from the Polish lands under Prussian rule and its causative factors and changes over time was to characterize. A total of 9965 conscripts aged 20 were examined. Differences in the mean BMI were tested using one-way analysis of variance ANOVA and Tukey's-test (post-hoc test). Factor analysis and multiple regression were employed. The highest BMI values characterized sons of peasants, workers and craftsmen, and the lowest, sons of intelligentsia: the difference for peasants/intelligentsia -0.59kg/m(2) (p=0.0004), and that for workers/intelligentsia and craftsmen/intelligentsia, 0.48 and 0.5kg/m(2) (p=0.0004 and p=0.0057, respectively). The difference in BMI of conscripts from the first and last birth cohorts was 0.61kg/m(2) (p=0.0001). The highest BMI values were noted in conscripts from villages (21.50kg/m(2)), and the lowest, in those from towns (21.15kg/m(2)) and cities (21.19kg/m(2)). The differences for village/town and village/city were statistically significant (p=0.0026 and p=0.0026, respectively). The BMI difference between Poles and Germans was 0.35kg/m(2) (higher value among Poles).