TY - JOUR
T1 - Income inequality and adult nutritional status
T2 - Anthropometric evidence from a pre-industrial society in the Bolivian Amazon
AU - Godoy, Ricardo
AU - Byron, Elizabeth
AU - Reyes-García, Victoria
AU - Vadez, Vincent
AU - Leonard, William R.
AU - Apaza, Lilian
AU - Huanca, Tomás
AU - Pérez, Eddy
AU - Wilkie, David
N1 - Funding Information:
Research was funded by two grants from the National Science Foundation (SBR-9731240 and SBR-9904318), a grant from the John D. and Catherine T. MacArthur Foundation, and a grant from the Conservation, Food & Health Foundation. We would like to thank the people who participated in data collection: Susan Tanner (University of Michigan), Zoë Foster, Brian Sandstrom, and Anna Yakhedts (Northwestern University), Yorema Gutierrez (Universidad Nacional Mayor de San Andrés), and Mario Alvarado. We would also like to thank the following institutions and people for their support with fieldwork and logistics: Gran Consejo Tsimane’, Javier Pache, Alonzo Nate, Damián Ista, Paulino Pache, Evaristo Tayo, Lorgio Pache, Claudio Guallata, Nestor Canchi, and Manuel Roca. Preliminary results were presented in a seminar sponsored by the Department of Anthropological Sciences and the Center for Latin American Studies, Stanford University. We would like to thank Russ Bernard, Mike Gurven, Ichiro Kawachi, John Komlos, Jeffrey Milyo, and three anonymous reviewers for comments, ideas, and bibliographic leads.
PY - 2005/9
Y1 - 2005/9
N2 - Evidence has been accumulated about the adverse effects of income inequality on individual health in industrial nations, but we know less about its effect in small-scale, pre-industrial rural societies. Income inequality should have modest effects on individual health. First, norms of sharing and reciprocity should reduce the adverse effects of income inequality on individual health. Second, with sharing and reciprocity, personal income will spill over to the rest of the community, attenuating the protective role of individual income on individual health found in industrial nations. We test these ideas with data from Tsimane' Amerindians, a foraging and farming society in the Bolivian Amazon. Subjects included 479 household heads (13+ years of age) from 58 villages. Dependent variables included anthropometric indices of short-run nutritional status (body-mass index (BMI), and age- and sex-standardized z-scores of mid-arm muscle area and skinfolds). Proxies for income included area deforested per person the previous year and earnings per person in the last 2 weeks. Village income inequality was measured with the Gini coefficient. Income inequality did not correlate with anthropometric indices, most likely because of negative indirect effects from the omission of social-capital variables, which would lower the estimated impact of income inequality on health. The link between BMI and income and between skinfolds and income resembled a U and an inverted U; income did not correlate with mid-arm muscle area. The use of an experimental research design might allow for better estimates of how income inequality affects social capital and individual health.
AB - Evidence has been accumulated about the adverse effects of income inequality on individual health in industrial nations, but we know less about its effect in small-scale, pre-industrial rural societies. Income inequality should have modest effects on individual health. First, norms of sharing and reciprocity should reduce the adverse effects of income inequality on individual health. Second, with sharing and reciprocity, personal income will spill over to the rest of the community, attenuating the protective role of individual income on individual health found in industrial nations. We test these ideas with data from Tsimane' Amerindians, a foraging and farming society in the Bolivian Amazon. Subjects included 479 household heads (13+ years of age) from 58 villages. Dependent variables included anthropometric indices of short-run nutritional status (body-mass index (BMI), and age- and sex-standardized z-scores of mid-arm muscle area and skinfolds). Proxies for income included area deforested per person the previous year and earnings per person in the last 2 weeks. Village income inequality was measured with the Gini coefficient. Income inequality did not correlate with anthropometric indices, most likely because of negative indirect effects from the omission of social-capital variables, which would lower the estimated impact of income inequality on health. The link between BMI and income and between skinfolds and income resembled a U and an inverted U; income did not correlate with mid-arm muscle area. The use of an experimental research design might allow for better estimates of how income inequality affects social capital and individual health.
KW - Anthropometrics
KW - Bolivia
KW - Health inequalities
KW - Nutritional status
KW - Social capital
KW - Tsimane' Amerindians
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U2 - 10.1016/j.socscimed.2005.01.007
DO - 10.1016/j.socscimed.2005.01.007
M3 - Article
C2 - 15955395
AN - SCOPUS:20444419785
SN - 0277-9536
VL - 61
SP - 907
EP - 919
JO - Social Science and Medicine
JF - Social Science and Medicine
IS - 5
ER -