| Literature DB >> 21501455 |
Aamer Imdad1, Mohammad Yawar Yakoob, Zulfiqar A Bhutta.
Abstract
BACKGROUND: Pregnancy is a state of increased requirement of macro- and micronutrients, and malnourishment or inadequate dietary intake before and during pregnancy, can lead to adverse perinatal outcomes including stillbirths. Many nutritional interventions have been proposed during pregnancy according to the nutritional status of the mother and baseline risk factors for different gestational disorders. In this paper, we have reviewed three nutritional interventions including peri-conceptional folic acid supplementation, balanced protein energy supplementation and multiple micronutrients supplementation during pregnancy. This paper is a part of a series to estimate the effect of interventions on stillbirths for input to Live Saved Tool (LiST) model.Entities:
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Year: 2011 PMID: 21501455 PMCID: PMC3231910 DOI: 10.1186/1471-2458-11-S3-S4
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Flow diagram for identification of studies evaluating peri-conceptional Folic acid supplementation for prevention of stillbirths due to neural tube defects
Figure 2Effect of folic acid fortification on prevention of neural tube defects. Meta-analysis based on results of 11 before and after studies.
Quality assessment of studies of peri-conceptional folic acid supplementation (by fortification) to prevent stillbirths from neural tube defects:
| Quality Assessment | Directness | Summary of findings | ||||||
|---|---|---|---|---|---|---|---|---|
| 1 | Before and after study | Only one study. Total event < 50 so cannot be considered for inclusion in the LiST | Only one study | Study from Canada | Folic acid fortification study | 5 | 29 | 0.41 |
| Before and after | Low quality population based studies | Significant heterogeneity (I2 = 88%) | All studies from high-middle income countries | Folic acid fortification studies | 0.59 | |||
a: directly calculated from study data, b: pooled estimate calculated by generic inverse variance
Figure 3Flow diagram for identification of studies evaluating balanced protein energy supplementation during pregnancy for prevention of stillbirths
Figure 4Effect of balanced protein energy supplementation during pregnancy on stillbirths
Quality assessment of studies of balanced protein energy supplementation during pregnancy to prevent stillbirths
| Quality Assessment | Directness | Summary of findings | ||||||
|---|---|---|---|---|---|---|---|---|
| RCT and quasi RCT | Methods of sequence generation and allocation concealment were not adequate in two of the included studies | Heterogeneity in the pooled data was not significant (I2=20%) | One of the study from developed country (USA); however, the participants in this study were from lower socioeconomic status | Different studies used different composition of formula for delivery of balance protein energy. | 18 | 31 | ||
Figure 5Flow diagram for identification of studies evaluating multiple micronutrient supplementations during pregnancy for prevention of stillbirths
Figure 6Impact of multiple micronutrients supplementation in pregnancy on stillbirths
Quality assessment of studies of multiple micronutrients supplementation during pregnancy to prevent stillbirths:
| Quality Assessment | Directness | Summary of findings | ||||
|---|---|---|---|---|---|---|
| 13 | RCT | Methods of sequence generation and allocation concealment were not explicitly described in few of the studies | Heterogeneity in the pooled data was not significant (I2=38%) | All included studies from developing countries | Nine studies used UNIMMAP formulation (30 mg iron, 400 µg folic acid, 15 mg zinc, 2 mg copper, 65 µg selenium, 800 µg RE vitamin A, 1.4 mg vitamin B1, 1.4 mg vitamin B2, 18 mg niacin, 1.9 mg vitamin B6, 2.6 µg vitamin B12, 70 mg vitamin C, 5 µg vitamin D, 10 mg vitamin E and 150 µg iodine) | 0.98 (0.88-1.10)a |
| 11 | RCT | Methods of sequence generation and allocation concealment were not explicitly described in few of the studies | Significant heterogeneity (I2=56%). Random models used | All included studies from developing countries | Nine studies used UNIMMAP formulation (30 mg iron, 400 µg folic acid, 15 mg zinc, 2 mg copper, 65 µg selenium, 800 µg RE vitamin A, 1.4 mg vitamin B1, 1.4 mg vitamin B2, 18 mg niacin, 1.9 mg vitamin B6, 2.6 µg vitamin B12, 70 mg vitamin C, 5 µg vitamin D, 10 mg vitamin E and 150 µg iodine) | 1.07 (0.92 –1.25)a |
a: generic inverse variance