000016459 001__ 16459
000016459 005__ 20180122200122.0
000016459 037__ $$a583-2016-39692
000016459 041__ $$aen
000016459 260__ $$c2000
000016459 269__ $$a2000
000016459 270__ $$mifpri-info@cgiar.org$$pMenon,   Purnima
000016459 300__ $$a34
000016459 336__ $$aWorking or Discussion Paper
000016459 446__ $$aEnglish
000016459 490__ $$aFCND Discussion Paper 97
000016459 520__ $$aUrban-rural comparisons of childhood undernutrition suggest that urban
populations are better-off than rural populations. However, these comparisons could
mask the large differentials that exist among socioeconomic groups in urban areas. Data
from the Demographic and Health Surveys (DHS) for 11 countries from three regions
were used to test the hypothesis that intra-urban differentials in child stunting were
greater than intra-rural differentials, and that the prevalence of stunting among the urban
and the rural poor was equally high. A socioeconomic status (SES) index based on
household assets, housing quality, and availability of services was created separately for
rural and urban areas of each country, using principal components analysis. Odds ratios
(OR) were computed to estimate the magnitude of differentials in stunting (height-for-age
Z-scores < −2) between urban and rural areas and between the lowest and highest SES
quintiles within areas. The prevalence of stunting was lower in urban than in rural areas
for all countries, but rural-urban ORs were relatively small (< 3.3). As hypothesized, the
gap between low and high SES was markedly larger in urban (median OR = 4) than rural
(median OR = 1.8) areas, and differences were statistically significant (interaction
between area and SES in logistic regression) in all but three countries. Within-urban ORs
as high as 10 were found in Peru and the Dominican Republic, whereas within-rural ORs
were smaller than 3.5, except in Brazil. In most countries, stunting in the poorest urban
quintile was almost on par with that of poor rural dwellers. Thus, malnutrition in urban
areas continues to be of concern, and effective targeting of nutrition programs to the
poorest segments of the urban population will be critical to their success and cost-effectiveness.
000016459 650__ $$aHealth Economics and Policy
000016459 700__ $$aMenon, Purnima
000016459 700__ $$aRuel, Marie T.
000016459 700__ $$aMorris, Saul Sutkover
000016459 8564_ $$s111893$$uhttp://ageconsearch.umn.edu/record/16459/files/tm000097.pdf
000016459 887__ $$ahttp://purl.umn.edu/16459
000016459 909CO $$ooai:ageconsearch.umn.edu:16459$$pGLOBAL_SET
000016459 912__ $$nMade available in DSpace on 2007-03-08 (GMT). No. of bitstreams: 1
tm000097.pdf: 111893 bytes, checksum: ed1692c4e43cbdc3d0236da35b3f817a (MD5)
  Previous issue date: 2000
000016459 982__ $$gInternational Food Policy Research Institute>FCND Discussion Papers
000016459 980__ $$a583