Does the effect of micronutrient supplementation on neonatal survival vary with respect to the percentiles of the birth weight distribution

Scientic Background: In developing countries, higher infant mortality is partially caused by poor maternal and fetal nutrition. Clinical trials of micronutrient supplementation are aimed at reducing the risk of infant mortality by increasing birth weight. Because infant mortality is greatest among the low birth weight infants (LBW) ( 2500 grams), an eectiv e intervention may need to increase birth weight among the smallest babies. Although it has been demonstrated that supplementation increases the birth weight in a trial conducted in Nepal, there is inconclusive evidence that the supplementation improves their survival. It has been hypothesized that a potential benet of the treatment on survival among the LBW infants is partly compensated by a null or even harmful eect among the largest infants. Exploratory analyses have suggested that the treatment eect on birth weight might vary with respect to the percentiles of the birth weight distribution. Data: The methods in this paper are motivated by a double-blind randomized community trial in rural Nepal (Christian et al 2003a,b). The investigators implemented an intervention program to evaluate benets of the following micronutrient supplementations: folic acid and vitamin A (F+A); folic acid, iron, and vitamin A (F+I+A); folic acid, iron, zinc, and vitamin A (F+I+Z+A); multiple nutrients and vitamin A (M+A). Each micronutrient supplement was administered daily to 1000 pregnant women, who ultimately delivered approximately 800 live-born infants. The team measured the birth weight within 72 hours of delivery and then followed the infants for one year to determine whether or not they survived. In addition, they measured several characteristics of the mother (maternal age, maternal height, arm circumference) and of the infant (weight, length, head and chest circumference).

[1]  F. Dominici,et al.  Treatment effects of maternal micronutrient supplementation vary by percentiles of the birth weight distribution in rural Nepal. , 2006, The Journal of nutrition.

[2]  S. Zeger,et al.  Multivariate Regression Analyses for Categorical Data , 1992 .

[3]  S. Chib,et al.  Analysis of multivariate probit models , 1998 .

[4]  G. Parmigiani,et al.  Estimating Percentile-Specific Causal Effects: A Case Study of Micronutrient Supplementation, Birth Weight, and Infant Mortality , 2004 .

[5]  L. Caulfield,et al.  Maternal zinc supplementation does not affect size at birth or pregnancy duration in Peru. , 1999, The Journal of nutrition.

[6]  Francesca Dominici,et al.  Smooth quantile ratio estimation with regression: estimating medical expenditures for smoking-attributable diseases. , 2005, Biostatistics.

[7]  Martin Abba Tanner,et al.  Tools for Statistical Inference: Observed Data and Data Augmentation Methods , 1993 .

[8]  J. Katz,et al.  Twinning rates and survival of twins in rural Nepal. , 2001, International journal of epidemiology.

[9]  P. Holland Statistics and Causal Inference , 1985 .

[10]  T. Cole,et al.  Effects on birth weight and perinatal mortality of maternal dietary supplements in rural gambia: 5 year randomised controlled trial , 1997, BMJ.

[11]  J. Katz,et al.  Impact of supplementing newborn infants with vitamin A on early infant mortality: community based randomised trial in southern India , 2003, BMJ : British Medical Journal.

[12]  A. Sommer,et al.  Maternal low-dose vitamin A or beta-carotene supplementation has no effect on fetal loss and early infant mortality: a randomized cluster trial in Nepal. , 2000, The American journal of clinical nutrition.

[13]  A. Sommer,et al.  Effects of alternative maternal micronutrient supplements on low birth weight in rural Nepal: double blind randomised community trial , 2003, BMJ : British Medical Journal.

[14]  S. Chib,et al.  Bayesian analysis of binary and polychotomous response data , 1993 .

[15]  A. Sommer,et al.  Effects of maternal micronutrient supplementation on fetal loss and infant mortality: a cluster-randomized trial in Nepal. , 2003, The American journal of clinical nutrition.

[16]  K. Rasmussen,et al.  Is There a Causal Relationship between Iron Deficiency or Iron-Deficiency Anemia and Weight at Birth, Length of Gestation and Perinatal Mortality? , 2001, The Journal of nutrition.

[17]  K. Leveno,et al.  Birth weight in relation to morbidity and mortality among newborn infants. , 1999, The New England journal of medicine.

[18]  L. Tierney Markov Chains for Exploring Posterior Distributions , 1994 .

[19]  D. Rubin,et al.  Principal Stratification in Causal Inference , 2002, Biometrics.

[20]  R. Martorell,et al.  Influence of maternal nutrition on birth weight. , 1975, The American journal of clinical nutrition.

[21]  Donald B. Rubin,et al.  Bayesian Inference for Causal Effects: The Role of Randomization , 1978 .

[22]  D. Naiman,et al.  Smooth quantile ratio estimation , 2005 .

[23]  W. Wong,et al.  The calculation of posterior distributions by data augmentation , 1987 .

[24]  I. Chalmers,et al.  Might efforts to increase birthweight in undernourished women do more harm than good? , 1992, The Lancet.