An assessment of survey data on birthweight
Lorenzo Moreno and
Noreen Goldman
Social Science & Medicine, 1990, vol. 31, issue 4, 491-500
Abstract:
The objective of this analysis is to determine whether useful information on birthweight can be obtained from a retrospective survey. The 1986 Peru Demographic Health Survey collected both numerical weights (in grams) and subjective assessments of relative size at birth, for infants born during 1981-1986. Simple tabulations suggest that reports of both measures are of reasonably high quality. However, a more detailed analysis demonstrates that exclusion of the large proportion (almost one-third) of missing responses on numerical weights can lead to biases in the resulting estimates of the incidence and correlates of low birthweight, of the level of infant mortality, and probably of the relative risk of mortality for low birthweight infants. The results emphasize the necessity of collecting data on the relative size of infants, in addition to information on numerical weights, in populations in which a substantial fraction of infants are born outside the formal health system. The subjective assessments allow the analyst to examine the extent to which infants with missing numerical weights are select and to assess the degree of bias in estimates which are based on the subsample of births with reported weights.
Keywords: low; birthweight; size; at; birth; retrospective; survey; Peru (search for similar items in EconPapers)
Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0277-9536(90)90045-T
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:31:y:1990:i:4:p:491-500
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01
Access Statistics for this article
Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian
More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().