Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Randomized Controlled Trial
. 2014 Nov;100(5):1257-68.
doi: 10.3945/ajcn.114.084921. Epub 2014 Sep 17.

Improving women's diet quality preconceptionally and during gestation: effects on birth weight and prevalence of low birth weight--a randomized controlled efficacy trial in India (Mumbai Maternal Nutrition Project)

Affiliations
Randomized Controlled Trial

Improving women's diet quality preconceptionally and during gestation: effects on birth weight and prevalence of low birth weight--a randomized controlled efficacy trial in India (Mumbai Maternal Nutrition Project)

Ramesh D Potdar et al. Am J Clin Nutr. 2014 Nov.

Abstract

Background: Low birth weight (LBW) is an important public health problem in undernourished populations.

Objective: We tested whether improving women's dietary micronutrient quality before conception and throughout pregnancy increases birth weight in a high-risk Indian population.

Design: The study was a nonblinded, individually randomized controlled trial. The intervention was a daily snack made from green leafy vegetables, fruit, and milk (treatment group) or low-micronutrient vegetables (potato and onion) (control group) from ≥ 90 d before pregnancy until delivery in addition to the usual diet. Treatment snacks contained 0.69 MJ of energy (controls: 0.37 MJ) and 10-23% of WHO Reference Nutrient Intakes of β-carotene, riboflavin, folate, vitamin B-12, calcium, and iron (controls: 0-7%). The primary outcome was birth weight.

Results: Of 6513 women randomly assigned, 2291 women became pregnant, 1962 women delivered live singleton newborns, and 1360 newborns were measured. In an intention-to-treat analysis, there was no overall increase in birth weight in the treatment group (+26 g; 95% CI: -15, 68 g; P = 0.22). There was an interaction (P < 0.001) between the allocation group and maternal prepregnant body mass index (BMI; in kg/m(2)) [birth-weight effect: -23, +34, and +96 g in lowest (<18.6), middle (18.6-21.8), and highest (>21.8) thirds of BMI, respectively]. In 1094 newborns whose mothers started supplementation ≥ 90 d before pregnancy (per-protocol analysis), birth weight was higher in the treatment group (+48 g; 95% CI: 1, 96 g; P = 0.046). Again, the effect increased with maternal BMI (-8, +79, and +113 g; P-interaction = 0.001). There were similar results for LBW (intention-to-treat OR: 0.83; 95% CI: 0.66, 1.05; P = 0.10; per-protocol OR = 0.76; 95% CI: 0.59, 0.98; P = 0.03) but no effect on gestational age in either analysis.

Conclusions: A daily snack providing additional green leafy vegetables, fruit, and milk before conception and throughout pregnancy had no overall effect on birth weight. Per-protocol and subgroup analyses indicated a possible increase in birth weight if the mother was supplemented ≥ 3 mo before conception and was not underweight. This trial was registered at www.controlled-trials.com/isrctn/ as ISRCTN62811278.

PubMed Disclaimer

Figures

FIGURE 1.
FIGURE 1.
Consolidated Standards of Reporting Trials diagram showing participant flow in the trial. To make all figures mutually exclusive, if a major congenital abnormality was detected on a scan and led to an abortion or termination, this case was classified as a major congenital abnormality and did not appear under abortion or termination. Shaded boxes indicate women who started supplementation ≥90 d before their LMP. IUD, intrauterine fetal death; LMP, last menstrual period date.
FIGURE 2.
FIGURE 2.
Effect of the intervention on birth weight according to categories of maternal prepregnant BMI: intention-to-treat analysis (A) and per-protocol analysis (B). Values are means; error bars indicate 95% CIs. P-interaction values between the allocation group (0, 1) and maternal prepregnant BMI (continuous variable) were derived by using a product term (allocation group × BMI) in linear regression models.
FIGURE 3.
FIGURE 3.
Effect of the intervention on other birth measurements according to categories of maternal BMI (per-protocol analysis; women who started supplementation ≥90 d before their last menstrual period date). Values are means; error bars indicate 95% CIs. P-interaction values between the allocation group (0, 1) and maternal prepregnant BMI (continuous variable) were derived by using product terms (allocation group × BMI) in linear regression models. MUAC, midupper arm circumference.

References

    1. Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, de Onis M, Ezzati M, Grantham-McGregor S, Katz J, Martorell R, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet 2013;382:427–51. - PubMed
    1. Victora CG, Adair L, Fall C, Hallal PC, Martorell R, Richter L, Sachdev HS; Maternal and Child Undernutrition Study Group. Maternal and child undernutrition: consequences for adult health and human capital. Lancet 2008;371:340–57. - PMC - PubMed
    1. World Health Organization. Global targets 2025 to improve maternal, infant and young child nutrition. Available from: http://www.who.int/nutrition/topics/nutrition_globaltargets2025/en/index... (cited 30 May 2013).
    1. Fall CH1, Fisher DJ, Osmond C, Margetts BM; Maternal Micronutrient Supplementation Study Group. Multiple micronutrient supplementation during pregnancy in low-income countries: a meta-analysis of effects on birth size and length of gestation. Food Nutr Bull 2009;30(4 suppl):s533–46. - PMC - PubMed
    1. Shah PS, Ohlsson A. Effects of prenatal multimicronutrient supplementation on pregnancy outcomes; a meta-analysis. CMAJ 2009;180:E99–108. - PMC - PubMed

Publication types

MeSH terms

Associated data