Linked Life Data

7931717

Source:http://linkedlifedata.com/resource/pubmed/id/7931717

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10 Suppl
pubmed:dateCreated
1994-11-10
pubmed:abstractText
As shown in a review of 28 studies, anthropometric measurements of preschool-aged children are consistently related to the risk of subsequent mortality in community-based studies from Asia and Africa (Pelletier 1994). Although the results are consistent at this general level, a number of important questions remain concerning the relationship. The purpose of this study is to address two of these questions using data from a similar study conducted in rural northern Malawi: 1) In relation to screening, are the anthropometry-mortality relationships affected by the child's age and the interval between measurement and death ("length of follow-up") and 2) In relation to policy implications, is the anthropometry-mortality relationship due to confounding by socioeconomic factors, especially when considering mild-to-moderate malnutrition. The results reveal that mortality prediction is significantly affected by child's age and length of follow-up, but the strength and direction of this effect modification varies across the four commonly used anthropometric indicators [weight-for-age (WA), height-for-age (HA), weight-for-height (WH) and arm circumference-for-age (ACA)]. An important result for public health practice is that there are no statistically significant differences in prediction across these four indicators when applied to young children (6-23 mo) and employing a 1-y follow-up period. As regards confounding, the results indicate that the anthropometry-mortality relationship is not due to confounding by socioeconomic factors when all grades of malnutrition are considered. When only mild-to-moderate malnutrition is considered, statistically controlling for confounders reduces most of the anthropometric predictors to nonsignificance (probability values to > 0.20), but the strength of the association (odds ratio) remains of the same order of magnitude. However, when effect modification by child's age and length of follow-up is taken into account, the effect of mild-to-moderate malnutrition (WA and WH) remains statistically significant for young children dying with 1 y of follow-up.
pubmed:keyword
http://linkedlifedata.com/resource/pubmed/keyword/ANTHROPOMETRY, http://linkedlifedata.com/resource/pubmed/keyword/Africa, http://linkedlifedata.com/resource/pubmed/keyword/Africa South Of The Sahara, http://linkedlifedata.com/resource/pubmed/keyword/Age Factors, http://linkedlifedata.com/resource/pubmed/keyword/CHILD, http://linkedlifedata.com/resource/pubmed/keyword/Child Mortality, http://linkedlifedata.com/resource/pubmed/keyword/Data Analysis, http://linkedlifedata.com/resource/pubmed/keyword/Demographic Factors, http://linkedlifedata.com/resource/pubmed/keyword/Developing Countries, http://linkedlifedata.com/resource/pubmed/keyword/Eastern Africa, http://linkedlifedata.com/resource/pubmed/keyword/Economic Factors, http://linkedlifedata.com/resource/pubmed/keyword/English Speaking Africa, http://linkedlifedata.com/resource/pubmed/keyword/Malawi, http://linkedlifedata.com/resource/pubmed/keyword/Measurement, http://linkedlifedata.com/resource/pubmed/keyword/Mortality, http://linkedlifedata.com/resource/pubmed/keyword/Population, http://linkedlifedata.com/resource/pubmed/keyword/Population Characteristics, http://linkedlifedata.com/resource/pubmed/keyword/Population Dynamics, http://linkedlifedata.com/resource/pubmed/keyword/Research Report, http://linkedlifedata.com/resource/pubmed/keyword/Socioeconomic Factors, http://linkedlifedata.com/resource/pubmed/keyword/Youth
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0022-3166
pubmed:author
pubmed:issnType
Print
pubmed:volume
124
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2082S-2105S
pubmed:dateRevised
2009-11-19
pubmed:otherAbstract
PIP: The author has previously shown in a review of 28 studies that anthropometric measurements of preschool-aged children are consistently related to the risk of subsequent mortality in community-based studies from Asia and Africa. A number of questions, however, remain about the relationship. This study was therefore conducted to address two of the questions using data from a similar study in rural northern Malawi. First, in relation to screening, are the anthropometry-mortality relationships affected by child's age and the interval between measurement and death, and second, in relation to policy, is the anthropometry-mortality relationship due to confounding by socioeconomic factors, especially when considering mild to moderate malnutrition? The authors find that mortality prediction is significantly affected by child's age and length of follow-up, but the strength and direction of the effect modification varies across the four commonly used anthropometric indicators of weight-for-age, height-for-age, weight-for-height, and arm circumference-for-age. There are no statistically significant differences in prediction across the four indicators when applied to children aged 6-23 months and employing a one-year follow-up period. As for confounding, the study found the anthropometry-mortality relationship to not be due to socioeconomic factors when all grades of malnutrition are considered.
pubmed:meshHeading
pubmed:year
1994
pubmed:articleTitle
Child anthropometry and mortality in Malawi: testing for effect modification by age and length of follow-up and confounding by socioeconomic factors.
pubmed:affiliation
Cornell Food and Nutrition Policy Program, Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't