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Keywords:

  • birth weight;
  • pregnancy;
  • prematurity;
  • supplementation;
  • zinc

Abstract

  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Comments
  6. Acknowledgements
  7. Conflicts of interests
  8. References
  9. Supporting Information

Poor maternal zinc status has been associated with foetal loss, congenital malformations, intra-uterine growth retardation, reduced birth weight, prolonged labour and preterm or post-term deliveries. A meta-analysis completed in 2007 showed that maternal zinc supplementation resulted in a small but significant reduction in preterm birth. The purposes of this analysis are to update that previous review and expand the scope of assessment to include maternal, infant and child health outcomes. Electronic searches were carried out to identify peer-reviewed, randomised controlled trials where daily zinc supplementation was given for at least one trimester of pregnancy. The co-authors applied the study selection criteria, assessed trial quality and abstracted data. A total of 20 independent intervention trials involving more than 11 000 births were identified. The 20 trials took place across five continents between 1977 and 2008. Most studies assessed the zinc effect against a background of other micronutrient supplements, but five were placebo-controlled trials of zinc alone. The provided dose of supplemental zinc ranged from 5 to 50 mg/day. Only the risk of preterm birth reached statistical significance (summary relative risk 0.86 [95% confidence interval 0.75, 0.99]). There was no evidence that supplemental zinc affected any parameter of foetal growth (risk of low birth weight, birth weight, length at birth or head circumference at birth). Six of the 20 trials were graded as high quality. The evidence that maternal zinc supplementation lowers the risk of preterm birth was graded low; evidence for a positive effect on other foetal outcomes was graded as very low. The effect of zinc supplementation on preterm birth, if causal, might reflect a reduction in maternal infection, a primary cause of prematurity. While further study would be needed to explore this possibility in detail, the overall public health benefit of zinc supplementation in pregnancy appears limited.

Zinc plays an important role in many biological functions including protein synthesis, cellular division and nucleic acid metabolism.1 Although severe zinc deficiency is relatively rare in human populations, mild to moderate depletion appears to be quite prevalent. Zinc intake data suggest that the risk of deficiencies is high. Using a model that related reported zinc intakes of pregnant women to the recommended intake, Caulfield estimated that 82% of the pregnant women worldwide have inadequate zinc intakes.2

Studies in rats, mice, pigs and ewes show that severe zinc deficiency increases foetal death due to spontaneous abortions or multiple congenital anomalies.3 Every organ system is affected; malformations of the heart, lungs, brain, urogenital system and skeletal system are especially common. These malformations seem to stem from an abnormal synthesis of nucleic acids and protein, impaired cellular growth and morphogenesis, abnormal tubulin polymerisation, chromosomal defects and excessive lipid peroxidation of cellular membranes. Animal studies show that maternal zinc deficiency has long-term effects on the growth, immunity and metabolic status of the surviving offspring.4,5 For example, maternal zinc depletion reduced the offspring's immune function, a condition that persisted for three generations.6

In humans, women with acrodermatitis enteropathica, an inherited defect in zinc absorption causing severe deficiencies, have poor pregnancy outcomes; foetal losses and congenital malformations are common.7 Poor markers of maternal zinc status have been linked to poor pregnancy outcomes in women without acrodermatitis entheropathica. For example, low maternal serum or leucocytic zinc concentrations has been associated with prolonged labour, preterm labour, postpartum haemorrhage, post-term deliveries, small-for-gestational-age babies, intra-uterine growth retardation or reduced birth weight in some,3,8–10 but not all, studies.11,12 Lack of sensitive biomarkers of zinc status or the presence of other underlying nutritional problems affecting pregnancy outcomes may account for the divergent findings.

The additional zinc need for human pregnancies estimated from the zinc concentration and the weight of tissues gained is about 100 mg (1540 µmol).13 The additional daily need during the last half of pregnancy when foetal growth is most rapid is about 0.6 mg/day (9.2 µmol/day). Studies of maternal zinc intakes fail to show an increased intake during pregnancy, but the methods for assessing food intake are likely to be too imprecise to detect this small difference.3 It is unclear if homeostatic adjustments in zinc absorption or excretion occurs during pregnancy to improve zinc retention for foetal growth. In pregnant rats, zinc absorption increased almost twofold during the last 3 days of pregnancy to meet foetal needs at that stage of pregnancy.14 Similar changes have not been observed in pregnant women possibly because the relative foetal zinc demand in humans is much less than that of in rats with multiple offspring.3

Recent estimates of about 0.5 million maternal and child deaths annually due to zinc deficiency has raised the concern about the adequacy of zinc intakes among pregnant women in developing countries.15 These women frequently subsist on diets lacking zinc-rich animal source foods. Instead, cereals that are high in phytate, which limits zinc absorption, are the primary source of zinc. Maternal plasma zinc concentrations tend to be reduced slightly either because of marginal intakes or because of chronic infections that reduces plasma zinc concentrations.16 Lower plasma zinc concentrations could reduce placental zinc transport and the foetal zinc supply. Based on these observations, United Nations Childrens Fund (UNICEF) recommended the use of multiple micronutrient supplements including zinc by all pregnant women in developing countries.17 Because supplemental zinc significantly improves the weight and height gain in growing children, it was assumed that maternal zinc supplementation would improve foetal growth.

During the past 30 years, numerous randomised controlled trials of zinc supplementation have been performed. In 2007, a systematic review and meta-analysis of 17 of these trials was published.18 This analysis updates that previous review and expands the scope of assessment to include maternal, infant and child health outcomes.

Methods

  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Comments
  6. Acknowledgements
  7. Conflicts of interests
  8. References
  9. Supporting Information

Systematic literature search

Electronic searches were conducted through the MEDLINE, Cochrane Library, BIOSIS, WHOLIS, PAHO and LILACS databases in April 2011 seeking original peer-reviewed descriptions of maternal zinc supplementation trials. Medical Subject Heading terminology was used in MEDLINE with an analogous search adapted for each database (Web Supplement 1). Search terms were in English with no restrictions on the language or date of publication. Prior to reviewing citations, the following inclusion criteria were declared: randomised controlled trial in humans; daily zinc supplementation of at least one trimester duration lasting up to delivery; comparison group receiving the identical supplements (save for zinc) in at least one arm of the trial; peer-reviewed; and at least one of six outcomes reported: low birth weight, preterm birth, neonatal growth morbidity or mortality, childhood growth morbidity or mortality, maternal nutritional status and maternal growth morbidity or mortality. Additionally excluded were letters, conference proceedings, reviews, case series, commentary and citations lacking an English or Portuguese version of the full-text document.

Two reviewers (JK, BC) independently assessed full-text copies of titles and abstracts marked as potentially relevant. The citation listings of these publications as well as review articles were searched by hand for relevant citations not captured by the electronic search. Publications were included if they matched the predetermined criteria. A consensus was later reached regarding any citation selected by only one reviewer.

Data abstraction

Study attributes and results were abstracted to standardised forms (available upon request). Quantitative information was recorded as reported, or when necessary, calculated from values in the tables or text. Stratified results were pooled when possible to estimate a population-level effect. For cluster-randomised trials, adjustment for intra-cluster correlation was either achieved by the published study or approximated. When multiple publications drew results from an identical set of participants (e.g. the results of a single trial reported across several articles), any outcome was recorded only once for each independent trial, selecting the estimate drawn from the largest population (e.g. the total trial vs. a subset).

Meta-analysis

Across the six broad outcomes of interest, meta-analysis was deemed appropriate for relevant events reported from a minimum of five independent study populations using comparable or convertible measures and definitions (e.g. kilograms or cumulative incidence). Other relevant outcome events derived from multiple independent studies were compiled for a separate qualitative synthesis. Three binary outcomes (low birth weight, defined as <2500 g at birth; preterm birth, defined as <37 weeks of gestation; and small-for-gestational age, defined by each study's criteria) and four continuous outcomes measured at birth (weight, length, gestational age and head circumference) met criteria for meta-analysis.

For binary outcomes, overall and subgroup Mantel-Haenszel fixed-effects19 summary relative risks (sRR) were calculated using statistical software (Stata IC version 10.1, StataCorp, College Station, TX, USA). Ninety-five per cent confidence intervals (CI) were calculated by the method of Shore20 (Shore corrected 95% CI) whenever this adjustment resulted in more conservative (wider) intervals. The sensitivity of the sRR to the exclusion of individual studies was assessed, and subgroup analysis was performed to explore sources of heterogeneity. An overall DerSimonian-Laird random-effects21 sRR was also calculated whenever considerable heterogeneity was suggested by an I2 statistic in excess of 50% (where I2 equals the Cochrane Q heterogeneity statistic minus degrees of freedom, divided by the Q statistic, then converted to a percentage). For continuous outcomes, a fixed-effects summary mean difference (sMD) was calculated using the general variance inverse-weighting method19 to compare mean outcomes in the zinc treated group to the comparison arm. Sensitivity and subgroup analyses were repeated as was done for the sRR.

Funnel plots served as a visual means for assessing any disproportionate representation of study results according to strength and precision.22 A Begg adjusted rank correlation test23 formally tested for any trend of increasing association strength with reducing precision. Such an effect could represent the preferential publication of statistically significant positive results,24 which could bias summary measures. In the event of a significant trend, the rank-based data-augmentation technique of Duval and Tweedie25 was used to generate an augmented summary measure for comparison under the hypothetical scenario that association measures of similarly low precision but opposite direction had also been reported in the literature.

Quality of evidence determination

The overall quality and relevance of the available data was assessed according to procedures described by the Child Health Epidemiology Reference Group (CHERG),26 based on earlier criteria of the Grade Working Group.27,28 Quality determination was organised by health outcome, with four possible levels of evidence: high, moderate, low or very low, as detailed elsewhere.26 The primary objective of quality determination was not to judge to the intrinsic scientific merit of each study, but to weigh the totality of published evidence for a beneficial effect of zinc supplementation in pregnancy on specific outcomes. As such, factors negatively impacting overall quality grades not only included the risk of bias in individual studies, but also failure to show a positive effect of the intervention, a lack of consistency (extensive heterogeneity) across studies or poor precision of the effect estimate. Briefly, both authors independently assessed each eligible trial for possible bias related to the GRADE criteria, and assigned an individual quality grade. The overall quality of evidence organised by outcome was then determined based on the magnitude, consistency and generalisability of the pooled estimate, as well as limitations identified in reviewing the individual studies.

Results

  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Comments
  6. Acknowledgements
  7. Conflicts of interests
  8. References
  9. Supporting Information

Systematic literature search

The electronic search generated 1438 hits across six databases, representing 941 non-duplicate citations. Of these, 85 citations were examined as full-text copies and 55 deemed to meet inclusion criteria for review covering 20 independent intervention trials.11,29–82 More than 11 000 births were recorded among trial participants. A manual search of the citations listings of these publications as well as previous review articles yielded two additional titles,12,83 which were both later excluded. A flow diagram is provided to summarise the search process (Figure 1) in accordance with CHERG recommendations.26 Among the identified studies that actually featured zinc supplementation in pregnancy, notable exclusions were a study of zinc in the context of supplemental food,84 a case series of 20 women with uncertain peer-review,9 a study in which supplementation was not carried through to the end of pregnancy,85 a letter to the editor,86 a study of night-blind women with brief follow-up,87 a study published in Chinese language journals with uncertain peer-review88,89 and a non-randomised intervention in which only 10 individuals were provided zinc.90 Also excluded were any reports of short-term changes in biochemical indicators of maternal status that did not also assess those indicators later in pregnancy. Of the 55 included publications, seven42,43,45,51,58,63,66 are not represented in any tables or summary measures below because these studies only reported results for a subset of trial participants already included in other publications.

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Figure 1. Flow diagram for identifying studies of zinc supplementation during pregnancy.

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Qualitative summary

Figure 2 summarises the characteristics and selected findings of the maternal zinc supplementation trials across the six broad outcomes of interest for review. Only outcomes reported by multiple studies were included in the table. Various obstetric outcomes such as breech presentation, caesarean section, placental weight and pregnancy complications were beyond the scope of this review. The more detailed forms used in data abstraction are available upon request.

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Figure 2. Overall characteristics and qualitative summary of included trials of zinc supplementation in pregnancy for select infant, child, and maternal outcomes. mg, milligrams; g, grams; IUGR, intrauterine growth retardation; Fe, iron; HIV, human immunodeficiency virus; RR, relative risk; SGA, small for gestational age. aStatistically significant results favouring the intervention are shown in dark gray, and those favouring the comparison group in dark hatches. Several obstetric outcomes as well as any outcomes originating from just one trial are not included. bFor some trials the year the intervention occurred was estimated from the publication date.

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The 20 included trials took place across five continents in countries ranging from low to high income. The earliest included trial was implemented in 1977,32 and the most recent was completed in 2008.79 Long-term follow-up studies of existing cohorts might continue, as one study82 was published within weeks of the electronic search. Most studies assessed the action of zinc as an augmentative agent against a background of other micronutrient supplements, although five were placebo-controlled trials of zinc alone.32–34,46,50,52,79 Daily doses of elemental zinc ranged from 5 to more than 50 mg. Only six trials30,31,35,49,52,73 described at what time of day participants were instructed to take the provided supplement, although all of these recommended within 2 h of a meal.

Relatively few statistically significant findings were reported, with trial results commonly showing little difference in the zinc supplemented group vs. the comparison group. Three trials35–37,39,44,51,59 did consistently report favourable health outcomes with zinc supplementation across multiple outcomes. Across all trials, the most consistently favourable outcome for zinc supplementation was an increase in maternal serum zinc status in late gestation. All studies evaluated birth outcomes, although fewer achieved follow-up into childhood. Notably, there did appear to be a trend towards decreased diarrhoea occurrence at 6–13 months of age with prenatal zinc, but this outcome was only assessed in three trials.50,80,81

Quality assessment

The individual trials were graded for quality of evidence according to previously determined criteria26 (Web Supplement 2). Six trials were graded as providing high-quality evidence.33,40–43,45–47,50,52,54–56,58,62,65–67,69–71,73–76,78,80 When considering overall quality of evidence of a beneficial outcome, risk of preterm birth received a grade of ‘low’, while the other six outcomes assessed by meta-analysis were graded as ‘very low’ (Table 1).

Table 1.  Summary of meta-analysis estimates, sorted by outcome
Overall consistencySummary of findings
Number of trialsHeterogeneity (quantitative)Direction and statistical significance of resultsGeneralisability to resource-poor settingsHeterogeneity of the interventionNumber of birthsStatistical methodPooled estimate [95% CI]
  1. Table format adapted from Walker et al., International Journal of Epidemiology, 2010; 39:i21–i3126 and Cochrane Review Manager ‘Data and Analysis’ pre-formatted table. CI, confidence interval; SGA, small-for-gestational age; Q, Cochrane's heterogeneity statistic. I2 = 100% × (Q − degrees of freedom)/Q. Quantitative measures of heterogeneity: large Q, small P, large I2 all indicate increased heterogeneity. All included results were derived from randomised controlled trials. For binary outcomes, summary relative risk < 1 favours zinc intervention (unfavourable outcome less likely). For continuous outcomes, summary mean difference > 0 favours zinc intervention (larger, more developed infants). Number of births and number of events were estimated for one trial. All summary estimates were calculated by fixed-effects meta-analysis. Random-effects estimates are provided in the text when appropriate.

Risk of preterm birth (<37 weeks): overall quality of evidence grade = Low
SixteenQ = 20.3, P = 0.16; I2 = 26%Ten trials favoured zinc; two of these statistically significantEleven trials conducted in low- or middle-income countriesDaily zinc dose from 15 to 50 mg; augmentative and placebo-controlled trials7818 (963 preterm)Mantel-Haenszel fixed-effects relative risk; Shore corrected 95% CI0.86 [0.75, 0.99]
Risk of low birth weight (<2500 g): overall quality of evidence grade = Very Low
ElevenQ = 16.0, P = 0.10; I2 = 37%Four trials favoured zinc; two of these statistically significantEight trials conducted in low- or middle-income countriesDaily zinc dose from 15 to 50 mg; augmentative and placebo-controlled trials5614 (937 low birth weight)Mantel-Haenszel fixed-effects relative risk; Shore corrected 95% CI1.06 [0.91, 1.23]
Risk of SGA birth (as defined by individual authors): overall quality of evidence grade = Very Low
FiveQ = 9.8, P = 0.04; I2 = 59%Two trials favoured zinc; one of these statistically significantFour trials conducted in low- or middle-income countriesDaily zinc dose from 25 to 45 mg; augmentative and placebo-controlled trials3441 (1155 SGA)Mantel-Haenszel fixed-effects relative risk; Shore corrected 95% CI1.03 [0.91, 1.17]
Mean difference in birth weight (g): overall quality of evidence grade = Very Low
TwentyQ = 77.4, P < 0.005; I2 = 75%Eleven trials favoured zinc; two of these statistically significantThirteen trials conducted in low- or middle-income countriesDaily zinc dose from 5 to >50 mg; augmentative and placebo-controlled trials8138Inverse-variance weighted fixed-effects mean difference13 g [−9, 35]
Mean difference in length at birth (cm): overall quality of evidence grade = Very Low
TwelveQ = 16.0, P = 0.14; I2 = 31%Six trials favoured zinc; one of these statistically significantNine trials conducted in low- or middle-income countriesDaily zinc dose from 5 to 50 mg; augmentative and placebo-controlled trials6285Inverse-variance weighted fixed-effects mean difference−0.1 cm [−0.3, 0.0]
Mean difference in gestational age at birth (weeks): overall quality of evidence grade = Very Low
TwelveQ = 12.0, P = 0.37; I2 = 8%Seven trials favoured zinc; one of these statistically significantEleven trials conducted in low- or middle-income countriesDaily zinc dose from 5 to >50 mg; augmentative and placebo-controlled trials5273Inverse-variance weighted fixed-effects mean difference0.1 weeks [−0.1, 0.2]
Mean difference in head circumference at birth (cm): overall quality of evidence grade = Very Low
ElevenQ = 21.0, P = 0.02; I2 = 52%Four trials favoured zinc; two of these statistically significantNine trials conducted in low- or middle-income countriesDaily zinc dose from 5 to 50 mg; augmentative and placebo-controlled trials5065Inverse-variance weighted fixed-effects mean difference0.0 cm [−0.1, 0.1]

Quantitative summary

Meta-analysis results are summarised in Table 1. Of the seven outcomes reported by at least five independent trials, only the risk of preterm birth reached nominal statistical significance (sRR 0.86 [Shore corrected 95% CI 0.75, 0.99]), suggesting a modest reduction in the frequency of preterm delivery with maternal zinc supplementation (Figure 3). The sRR was not sensitive to the exclusion of any individual study result, limited to a range from 0.84 to 0.88 with the removal of any single finding. There was not strong evidence of an effect on the risk of low birth weight (1.06 [0.91, 1.23]) (Figure 4). Removal of the most heavily weighted finding54 did not qualitatively alter the sRR (0.99 [0.81, 1.22]), nor did the overall fixed-effects sRR differ greatly from the random-effects estimate (0.98 [0.81, 1.19]). Similarly, the pooled risk of a small-for-gestational age birth showed little difference with zinc supplementation (1.03 [0.91, 1.17]) (Figure 5). This estimate was bound within a range from 0.98 to 1.06 with the exclusion of any single result, and the random-effects estimate (0.99 [0.83, 1.18]) closely resembled the fixed-effects measure.

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Figure 3. The forest plot graphically depicts the individual results included in meta-analysis. Sizes of the boxes are proportional to the weight assigned in calculating the fixed-effects sRR, where weight was assigned inversely to variance. Results to the left of relative risk = 1 indicate a lower risk of preterm birth with zinc supplementation. Events indicate the number of births delivered preterm (gestational age < 37 weeks). RR, relative risk; CI, confidence interval.

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Figure 4. The forest plot graphically depicts the individual results included in meta-analysis. Sizes of the boxes are proportional to the weight assigned in calculating the fixed-effects sRR, where weight was assigned inversely to variance. Results to the left of relative risk = 1 indicate a lower risk of low birth weight with zinc supplementation. Events indicate the number of low weight births (<2500 grams). RR, relative risk; CI, confidence interval.

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Figure 5. The forest plot graphically depicts the individual results included in meta-analysis. Sizes of the boxes are proportional to the weight assigned in calculating the fixed-effects sRR, where weight was assigned inversely to variance. Results to the left of relative risk = 1 indicate a lower risk of a SGA birth with zinc supplementation. Events indicate the number of SGA births. RR, relative risk; CI, confidence interval.

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There was no evidence to support a meaningful zinc supplementation effect on mean birth weight, length at birth, gestational age at birth or head circumference at birth (Table 1). The pooled mean difference in birth weight suggested a slight increase for the zinc group over the comparison group (sMD 13 g [95% CI −9, 35]) that did not reach statistical significance despite including data from approximately 8000 births (Figure 6). The exclusion of one result35 was sufficient to drop the sMD within 2 g of the null value (2 g [−20, 24]). That relatively small trial,35 which was given a low quality grade, accounted for less than 2% of the weight in calculating the sMD but contributed to nearly three-fourths of the value of the Cochrane Q heterogeneity statistic. That study was also an outlier in considering the risk of preterm birth (Figure 3) and the risk of small-for-gestational age delivery (Figure 5). Notably, this trial delivered one of the largest doses of supplemental zinc (45 g/day) and was the only study to report a statistically significant reduction in copper status with zinc supplementation relative to controls.36 Summary measures for the mean differences at birth in length (Figure 7), gestational age (Figure 8) and head circumference (Figure 9) all centred near zero and were by and large insensitive to the exclusion of individual results.

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Figure 6. The forest plot graphically depicts the individual results included in meta-analysis. Sizes of the boxes are proportional to the weight assigned in calculating the fixed-effects sMD, where weight was assigned inversely to variance. Results to the right of mean difference = 0 indicate greater mean birth weight with zinc supplementation (in grams). MD, mean difference; CI, confidence interval.

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Figure 7. The forest plot graphically depicts the individual results included in meta-analysis. Sizes of the boxes are proportional to the weight assigned in calculating the fixed-effects sMD, where weight was assigned inversely to variance. Results to the right of mean difference = 0 indicate greater mean birth length with zinc supplementation (in centimeters). MD, mean difference; CI, confidence interval.

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image

Figure 8. The forest plot graphically depicts the individual results included in meta-analysis. Sizes of the boxes are proportional to the weight assigned in calculating the fixed-effects sMD, where weight was assigned inversely to variance. Results to the right of mean difference = 0 indicate greater mean gestational age with zinc supplementation (in weeks). MD, mean difference; CI, confidence interval.

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Figure 9. The forest plot graphically depicts the individual results included in meta-analysis. Sizes of the boxes are proportional to the weight assigned in calculating the fixed-effects sMD, where weight was assigned inversely to variance. Results to the right of mean difference = 0 indicate greater mean head circumference with zinc supplementation (in centimeters). MD, mean difference; CI, confidence interval.

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Visual inspection of funnel plots22 (Web Supplement 3) did not indicate a disproportionate representation of study results according to strength and precision for any of the above outcomes. A Begg test23 indicated a statistically significant trend towards results favouring zinc supplementation with decreasing precision only for head circumference at birth (continuity corrected P = 0.02). However, for the three summary measures that were altered under a trim and fill procedure,25 none of these augmented estimates differed greatly from those obtained from observed values: weight at birth (−12 g [−32, 8]), gestational age at birth (0.0 weeks [−0.1, 0.1]) or head circumference at birth (−0.1 cm [−0.2, 0.0]). Although the estimated summary mean difference in birth weight changed direction, it did not gain statistical significance.

Subgroup analysis

For each of the outcomes considered in meta-analysis, the summary findings based only on those trials graded as low quality pointed to a more beneficial effect of zinc than those graded as high quality (Figures 10–12). There was not a strong signal that the impact of zinc supplementation differed greatly by any of the three other subgroups considered: national income, whether a trial also reported an increase in maternal blood zinc status, or by the nature of the comparison group (placebo or multiple micronutrients) (Figures 10–12). There was a slight indication that above doses of 30 mg/day of supplemental zinc, there was an increase in birth weight (based on five studies32,35,38,73,79) and head circumference at birth (based on a single study79). However, this finding did not hold for any other outcome.

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Figure 10. The study results contributing to meta-analysis were divided into groups based on study characteristics (left), and fixed-effects sRR were calculated accordingly. Results to the left of relative risk = 1 indicate a beneficial effect of zinc supplementation. sRR, summary relative risk; CI, confidence interval.

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Figure 11. The study results contributing to meta-analysis were divided into groups based on study characteristics (left), and fixed-effects sMD were calculated accordingly. Results to the right of mean difference = 0 indicate greater mean birth weight with zinc supplementation (in grams). sMD, summary mean difference; CI, confidence interval.

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Figure 12. The study results contributing to meta-analysis were divided into groups based on study characteristics (left), and fixed-effects sMD were calculated accordingly. Results to the right of mean difference = 0 indicate greater length (in centimeters), gestational age (in weeks), or head circumference (in centimeters) at birth.

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Comments

  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Comments
  6. Acknowledgements
  7. Conflicts of interests
  8. References
  9. Supporting Information

Our findings of the effects of zinc supplementation for improving pregnancy and infant outcomes agrees with those published by Mahomed and co-workers in 2007.18 Although we draw conclusions from a larger and not entirely overlapping set of trials, the overall impression regarding the effect of supplemental zinc was unchanged. Using data from 16 trials including 7818 births (963 preterm), we estimated a reduction in the risk of a preterm birth with zinc supplementation (sRR 0.86 [95% CI 0.75, 0.99]). We found no effect, however, on mean gestational age. This may be because there were fewer studies of gestational age than of preterm birth (12 vs. 16 trials), and the measurement errors for determining gestational age may be greater than that classifying the birth as preterm. Several different methods can be used to assess gestational age and most require considerable judgement by the evaluator.91 Whereas classifying a birth as preterm is a binary decision that is easier to make, especially if the infant is very preterm. We found no evidence that the effect on preterm birth was affected by zinc dose. One group79 studied the effect of supplemental zinc (50 mg/day) on the risk of preterm birth in a cohort of women who had a previous preterm delivery. There was a suggestion that supplemental zinc reduced prematurity in this high-risk group, but the sample size (42 women/group) was relatively small.

The steady increase in the incidence of preterm birth during the past decade is troubling. Infants born preterm are at greater risk for mortality and a variety of health and developmental problems.91 Thus, if reflective of a true causal effect, a 14% reduction in preterm birth with zinc supplementation, as estimated from these trials, would be of major public health importance. Several plausible explanations for the positive effect of zinc on preterm births exist. Zinc deficiency alters circulating levels of a number of hormones associated with the onset of labour. For example, lower levels of serum progesterone and prolactin concentrations in zinc-deficient ewes was associated with preterm deliveries.92 Also, systemic and intra-uterine infections are a major cause of preterm birth.91 Zinc is essential for normal immune function.1 Zinc supplementation may reduce the incidence or the severity of maternal infections that, in turn, lower the risk of preterm birth. It has been reported that iron supplementation interferes with zinc absorption in pregnancy.1,45 However, we did not observe substantial differences when the analysis was restricted only to those trials providing supplemental zinc alone vs. only those that provided zinc along with iron and other micronutrients (Figures 10–12).

In concordance with previously reported findings,18 zinc supplementation did not appear to significantly improve birth weight, birth length or head circumference (Table 1). The overall mean difference in birth weight slightly favoured the intervention; however, this estimate was relatively sensitive to the inclusion of one or two particular study results, which likely influenced the differences observed in subgroup analysis (Figure 11). Despite the imprecision surrounding this summary estimate, it is unlikely that additional trials would be sufficient to shift the balance in favour of a clinically and statistically significant effect of zinc on foetal growth. Many investigators have found a relationship between maternal zinc status and birth weight in observational studies.3,8–10 The inability to show a consistent growth effect in intervention trials could be related to the challenges, such as participant compliance, inherent in improving zinc status in field settings. Nonetheless, there was no indication of a stronger effect when summary results excluded those trials that failed to demonstrate an improvement in maternal serum zinc concentrations (Figures 10–12). Alternatively, supplementation might only be effective among those suffering from zinc deficiency, and therefore, population-level effects might not capture improvements among this subgroup. While data were not available to examine this possibility directly, we did not observe stronger effects in low- and middle-income countries, where zinc deficiency is likely to be common.2

The technique of meta-analysis has been the subject of criticism,93 particularly when summary estimates are considered without a detailed exploration of sources of heterogeneity. These concerns are valid, and we agree that meta-analysis is problematic if intentioned to precisely estimate causal effects. Because of heterogeneity in study designs, study populations and the context of the interventions, CI derived from meta-analysis are artificially narrow. That said, meta-analysis is an extremely useful tool for summarising the results of existing intervention trials in a systematic and objective way, with strengths that outnumber weaknesses.94 While the precision of our numeric estimates may be overstated, we believe that the general impression of our findings – that previous trials have shown little to no impact of maternal zinc supplementation on foetal growth but have suggested a modest reduction in the risk of preterm birth that cannot yet be confirmed – is not driven by inherent bias in our quantitative methods.

Meta-analysis, or any standard literature review for that matter, is necessarily limited to the published evidence. Therefore, any tendency of investigators or journals to selectively publish statistically significant positive results could yield a bias when findings are taken in aggregate. While this type of bias has been well described,95 we did not observe an overwhelming trend towards positive results with decreasing statistical precision of individual trial findings (Web Supplement 3). We did detect a stronger zinc effect when pooling studies graded as low quality vs. those graded as high quality (Figures 10–12). Because the quality grades are subjective, firm conclusions cannot be drawn. Yet, this suggests possible preferential publication of methodologically weaker studies with positive results. Again, despite the prospect of bias in quantitative estimates, our general conclusions were not swayed towards remarkably positive findings.

The results of our meta-analysis and that of Mahomed and co-workers18 suggest that prenatal zinc supplementation does not effect foetal growth. One group measured foetal bone growth by ultrasound during gestation.96 Of the four measurements made, only femur diaphysis length was greater in foetuses of mothers receiving supplemental zinc. However, this outcome differs from the effects of supplemental zinc on growth in pre-pubertal children. A meta-analysis of 33 studies showed a highly significant positive effect on both height and weight increments with greater responses seen in children with low weight-for-age or height-for-age z scores.97 These findings suggest that the impact of zinc, per se, on growth in utero is less than that in a young child. It is unclear why this difference exists. Possibly, zinc is prioritised towards developing the immune system and other organs or tissue functions during the in utero period instead of skeletal growth. Or, maybe the effect of maternal nutrition on the foetal growth trajectory is established before conception or early in pregnancy prior to the usual initiation of zinc supplementation. These findings suggest, however, that stunting is more likely to be improved by providing zinc supplements to the child rather than to the mother during pregnancy.98

The small effects of supplemental zinc on pregnancy outcomes suggest a need to compare the effects of delivering nutrients through supplements vs. other methods, such as food. Early studies showed that improving the quality, or nutrient density, of the mother's diet dramatically improved pregnancy outcomes.99–101 The use of prenatal multiple micronutrient supplements became common in the 1960s to prevent iron deficiency. A recent systematic review found that multiple micronutrient supplements did not reduce maternal anaemia or infant mortality when compared with iron-folate supplementation alone, but did report a statistically significant 9% reduction in the risk of small-for-gestational age births when pooling data across 14 studies in developing countries.102 The relative impacts of supplements vs. food on pregnancy outcomes merits further attention.

Strong evidence exists that zinc supplements improve the prognosis of children being treated for diarrhoea.98 Of the studies we reviewed, three trials reported a trend towards a decreased incidence of diarrhoea between 6 and 13 months of age with prenatal supplemental zinc.46,80,81 The effect on acute diarrhoea was stronger than that for episodes of persistent diarrhoea. Possibly, prenatal zinc supplementation improved the infant's immune function, which would be consistent with our hypothesis that maternal zinc supplement is prioritised towards the development of immunity rather than growth in the foetus. Previous research suggests that development of the fetal nervous system in utero is influenced by maternal zinc status. For example, the offspring of rhesus monkeys deprived of zinc during the third trimester were not as active and they explored less than control infants.16 Morphological examinations showed that the structure and migration of neuronal cell types were altered in these offspring. In a study of Egyptian women, Kirskey and co-workers noted a positive association between maternal zinc status and newborn behaviour.103 However, prenatal zinc supplementation had no effect in neurocognitive development in Bangladeshi infants at 13 months of age, US children at 5 years of age or Peruvian children at 4.5 years of age.52,59,77 Neurocognitive development was evaluated in three trials reviewed by us.52,59,61 The three groups measured different end-points at different time points and reported three different findings. One group found that the mental and psychomotor development was worse in the zinc group compared with the controls at 13 months of age.52 Another reported an improvement in foetal neurobehaviour as measured by foetal heart rate,61 and the third group found no effects on differential abilities, visual or auditory sequential memory scores, gross motor scale and grooved pegboard scores in the children at 5 years of age.59

Of the 20 studies we evaluated, five groups measured postnatal outcomes – Bangladesh,50,52 Indonesia,60 Nepal,69 Peru70,80 and the US.59 Postnatal growth was evaluated more than any other outcome. Recent discoveries show that the interaction between our genes and their environment in utero has health long-term effects. This phenomenon is called developmental programming. Given the role of zinc in regulating DNA synthesis and gene expression, the foetal zinc environment likely influences the developmental programming of that individual. Some evidence for this association exists. Over 30 years ago, Beach and co-workers showed that maternal zinc deficiency adversely affected immune function in the offspring, which persisted for the next three generations.6 Also, Jou and co-workers recently reported that the offspring of pregnant rats fed diets marginally low in zinc gained excessive weight postnatally and had impaired insulin sensitivity.5 These epigenetic changes are thought to be due to shifts in DNA and histone methylation. It has been known since 1985 that zinc deficiency decreases methylation of those nuclear components.104 In the future, longer-term studies are needed to assess the impact of prenatal zinc supplementation on the health of the child. Neuro-cognitive and immunological function should be assessed in addition to growth.

Given the logistical and financial barriers in completing long-term follow-up of intervention trial participants, it is not surprising that less evidence is available on the impact of maternal zinc supplementation on child health than on foetal growth and preterm birth. The suggestion of a reduction in diarrhoea occurrence among infants merits further attention, although from the trials examining impacts on childhood growth, cognitive development and respiratory illness, little evidence of a benefit has emerged (Figure 2). Future work may be directed towards further assessment of functional outcomes that become apparent during childhood or later in life.

In aggregate, results published to date suggest no harm but uncertain benefits with maternal zinc supplementation in pregnancy. While an imperfect global estimator of causal effects, meta-analysis provides a quantitative summary that is unlikely to obscure a strong benefit merely through bias in our quantitative methods. The specifics of the population and implementation protocol should always be considered when anticipating the impacts, although we did not detect striking patterns when considering subgroups of studies separated by national income, dose of zinc provided or the simultaneous provision of other micronutrients. The suggestion that maternal zinc supplementation might reduce the occurrence of preterm birth or the frequency of diarrhoea in childhood is notable and encouraging, as even small reductions in these events would be significant public health achievements. The decisions to undertake further research or to initiate zinc-based interventions, however, must be made within the context of costs, feasibility and the presence of other potential interventions that might offer a greater probability of success. With much to be learned about the mechanism of action and possible lingering effects into childhood, further studies of maternal zinc supplementation might provide new insight. Yet, balanced with considerable evidence of no improvement in foetal growth, it appears unlikely that zinc supplementation in pregnancy will play a leading role in future advances in maternal and child health.

Acknowledgements

  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Comments
  6. Acknowledgements
  7. Conflicts of interests
  8. References
  9. Supporting Information

Dr Chaffee receives support from a dental scientist training grant (F30) from the National Institute of Health, Bethesda, Maryland (DE022208-01).

Conflicts of interests

  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Comments
  6. Acknowledgements
  7. Conflicts of interests
  8. References
  9. Supporting Information

The authors report that they have no conflicts of interest related to this review.

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  2. Abstract
  3. Methods
  4. Results
  5. Comments
  6. Acknowledgements
  7. Conflicts of interests
  8. References
  9. Supporting Information
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Supporting Information

  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Comments
  6. Acknowledgements
  7. Conflicts of interests
  8. References
  9. Supporting Information

Web Supplement 1. Electronic search strategy.

Web Supplement 2 . Quality assessment of individual trials was based on the risk of bias criteria of the GRADE Working Group. Quality grades of low, medium, or high were assigned to each trial based on the consensus opinion of the review authors.

Web Supplement 3. Funnel plots depict study precision as a function of strength of association.

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PPE_1289_sm_WS3d.tif142KSupporting info item
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