Association between maternal vitamin D deficiency and small for gestational age: evidence from a meta-analysis of prospective cohort studies.

OBJECTIVE: To determine whether maternal vitamin D deficiency during pregnancy is associated with small for gestational age (SGA).
METHODS: A comprehensive literature search of PubMed, the Cochrane Library, Embase, and the Elsevier ScienceDirect library was conducted to identify relevant articles reporting prospective cohort studies in English, with the last report included published in February 2017. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were used to evaluate the correlation in a random effects model.
RESULTS: A total of 13 cohort studies were included in this meta-analysis with a sample of 28 285 individuals from seven countries. The pooled overall OR for babies born SGA was 1.588 (95% CI 1.138 to 2.216; p<0.01) for women with vitamin D deficiency. The prevalence of vitamin D deficiency during pregnancy varied from 13.2% to 77.3%. Subgroup analyses identified no significant differences in the association between vitamin D deficiency and SGA based on study quality, gestational week during which blood sampling was performed, cut-off vitamin D levels, sample size, adjustment for critical confounders and method for measuring vitamin D.
CONCLUSION: This meta-analysis suggests that vitamin D deficiency is associated with an increased risk of SGA. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

To our knowledge, this was the first systematic review that included only prospective cohort studies in its evaluation of the association between vitamin D and small for gestational age (SGA).

The subgroup analysis performed in this study enabled a more thorough understanding of current evidence.

Cohort study quality tests, a heterogeneity test, and sensitivity analysis were performed; publication bias was evaluated.

Different definitions of vitamin D deficiency, insufficiency or sufficiency may have affected the results.

Substantial heterogeneity existed among several outcomes.

Introduction

Vitamin D is fat soluble and a steroid hormone recognised for its major role in calcium metabolism and bone health.1 Vitamin D deficiency or insufficiency has become a global public health issue,2 especially for pregnant women, among whom the highest deficiency rate is 84% according to a multiethnic population survey conducted in Norway.3 Several large-population studies have evaluated the associations of maternal vitamin D deficiency with various adverse maternal and fetal outcomes4–6 including small for gestational age (SGA).

Infants born SGA are defined as smaller in size than normal for the gestational age, most commonly stipulated by a weight less than the 10th percentile for the corresponding gestational age.7 8 The incidence of infants who are SGA worldwide is 9.7%,9 and this percentage is increasing. Infants born SGA have much higher neonatal morbidity and mortality.10 Katz et al 11 demonstrated that the pooled risk ratios (RRs) of neonatal mortality and post-neonatal morbidity in infants who were SGA were 1.83 and 1.90, respectively. SGA may also be strongly correlated with adverse health outcomes in adult life, such as neurocognitive impairment, poor school performance, short stature, and increased risks of diabetes,12 cardiovascular disease13 and kidney disease.14

Although numerous studies have focused on the association between maternal vitamin D status and SGA, the results of these studies remain inconsistent. A prospective cohort study conducted in the Netherlands evaluated vitamin D concentrations in 3730 pregnant women after 12–14 weeks of gestation and discovered that infants born to mothers with vitamin D deficiency had an increased risk of being SGA compared with those born to mothers with adequate vitamin D levels.15 Subsequently, Gernand et al 16 reported that if the maternal vitamin D level was less than 15 ng/mL, infants had a significantly higher risk of being SGA. However, other studies have identified no association between vitamin D status and SGA.17 18

Given the inconclusive evidence regarding this issue, we summarise the highest quality evidence currently available on the basis of a meta-analysis of prospective cohort studies to determine whether vitamin D deficiency in pregnant women is associated with SGA.

Materials and methods

Data sources, search strategy and selection criteria

A systematic literature search was performed using the PubMed, Elsevier ScienceDirect, Cochrane Library, and Embase databases to identify all relevant articles published prior to March 2017. No restrictions were made regarding maternal age and study design. The following keywords were used: ‘vitamin D’ or ‘cholecalciferol’ or ‘25-hydroxyvitamin D’ or ‘25(OH)D’ combined with ‘SGA’ or ‘small for gestational age’ or ‘small-for-gestation-age’ or ‘small size for gestational age’ (see online supplementary box S1 details for the search strategy).

Selection criteria

We first screened the titles and abstracts of all the articles to identify possible eligible studies and then read the articles in full to determine whether they were in fact eligible. The articles included in the meta-analysis were selected according to the following inclusion criteria: (1) published in English; (2) the population of the study was pregnant women without prechronic disease; (3) only women with singleton gestation were included; (4) the outcome was an infant who was SGA, the control group included women who gave birth to babies not SGA, and the exposure was ‘vitamin D deficiency’ (25(OH)D<20 ng/mL); (5) study data were in the form of effect estimates (odds ratio (OR) or RR)) and corresponding 95% confidence intervals (CIs), or the article reported data that enable calculation of these; (6) maternal blood samples were taken for assessing 25(OH)D during pregnancy; (7) the study design was that of a cohort study. The final criterion was applied because cohort studies are the most effective means of ascertaining both the incidence and natural history of a disorder. The temporal connection between putative cause and outcome is usually clear in such studies; in addition, the cohort study design reduces the risk of survivor bias. By contrast, this bias often frustrates cross-sectional and case-control studies. For example, case-control studies are more prone to recall and selection biases and are uncertain regarding chronological order, making them of limited use for causal inference.

Data extraction and quality evaluation

Two investigators reviewed all abstracts of related articles, and read their full text, respectively. We extracted data using a standardised form and assessed study quality. Disagreements were resolved by discussion and consulting a third investigator. The following data were collected from each study: (1) publication information: first author name and publication year; (2) population’s characteristics: country of origin, average age and pre-pregnancy body mass index (BMI), ethnicity, education status, current gestational week of blood sampling, gestational age of infant at birth, and season of blood sample; (3) methods: assay of serum or plasma vitamin D levels and sample size; (4) latitude and time of year that data were collected; (5) OR and corresponding 95% CI for each study. If available, ORs with 95% CIs were collected from the original article. If crucial original data were unavailable, ORs with 95% CIs were calculated using other data published in the article to construct 2×2 tables of low vitamin D status versus the presence or absence of SGA. Otherwise, we contacted the corresponding author by e-mail to obtain further details. Finally, we assessed the eligible studies based on the Newcastle Ottawa Scale (NOS). This scale ranges from 0 to 9 and contains nine items (one point for each) in three parts: selection (four items), comparability (two items) and exposure or outcomes (three items). Scores of 0–3 indicated studies to be of poor quality; scores of 4–6 indicated studies to be of moderate quality; and scores of 7 or higher indicated studies to be of high quality (online supplementary box S2).

Statistical analysis

The data extracted from eligible studies were in the form of effect estimates (OR or RR) and corresponding 95% CIs. Due to the low level of morbidity in babies born of SGA, the OR was approximately equal to the RR.19 Meta-analysis was performed using the STATA package version 12.0 (Stata Corporation, College Station, Texas, USA). The ORs and 95% CIs for normal vitamin D levels versus deficient vitamin D levels from each study were combined to calculate an estimated pooled OR, 95% CI and p value. The Q-statistic test and I-squared (I 2) test were used to estimate the heterogeneity among studies.20 The random effects model is usually more suitable when study data are gathered from the published literature.21 Therefore, the random effects model was used in our meta-analysis. To evaluate the sources of heterogeneity and the various results obtained for prespecified subgroups, subgroup analysis was performed based on cut-off values, study quality (NOS scores), adjustment for critical confounders, sample size, measurement of vitamin D, and the gestational week in which blood sampling was performed. A sensitivity analysis was conducted to determine the stability and reliability of the results by omitting one study at a time and confirming the consistency of the overall effect estimate. Funnel plots were used to qualitatively assess the publication bias, whereas Egger’s and Begg’s tests were used to quantitatively assess publication bias.22 23

Results

Description of included studies

A total of 1734 studies were identified for initial review using the described search strategies. After removing duplicates, 1536 studies remained. We screened the titles and abstracts of these studies and excluded 1518 records according to the inclusion and exclusion criteria. The 18 remaining full-text articles were then assessed for eligibility. Finally, 13 cohort studies4 15–18 24–31 were included in the meta-analysis (figure 1), with a total sample of 28 285 pregnant women.

Figure 1

Flowchart of the literature search and trial selection process.

The characteristics and methodological quality of the 13 studies are presented in table 1 and online supplementary table S1. These studies were published between 2010 and 2016; four were conducted in the United states, three in the Netherlands, two in China and one each in Korea, Singapore, Ireland and New Zealand. The average age of the pregnant women in these studies was <30 years for four studies and >30 years for five studies; the average pre-pregnancy BMI of the participants was <25 kg/m2 in seven studies and >25 kg/m2 in three studies. Ten studies adjusted for confounders and three studies did not. Five studies collected blood during the first trimester, five during the second trimester, and three during a mixture of the first, second and third trimesters. Five assay methods were used to measure the vitamin D levels of pregnant women, and two criteria were used for the diagnosis of infants who were SGA (birth weight in the lowest 10th or 15th percentile of the reference population). The prevalence of maternal vitamin D deficiency varied from 13.2% to 77.3% (online supplementary table S1). NOS scores were presented as either representing high levels (nine studies) or low levels (four studies) (online supplementary table S2).

Table 1

Characteristics of the included studies in the present meta-analysis

Author	Region	Year	Age at baseline (mean, year)	Pre-pregnancy BMI (mean, kg/m2)	Gestational week of blood sampling	Measurement of vitamin D	SGA criteria	Cut-off values	Ethnicity group	OR (95% CI)	Adjusted	NOS score	Sample size
Leffelaar15	The Netherlands	2010	NA	NA	12–14 weeks	enzyme immunoassay	<10th	<15 ng/mL	Dutch (60.3%), Surinamese (6.7%), Turkish (4.0%), Moroccan (6.3%), other non-western (14.2%), other western (8.6%)	1.90 (1.40 to 2.70)	yes	8	3730
Burris24	USA	2012	32.5	24.8	26–28 weeks	CLIA and RIA	<10th	<10 ng/mL	White (83.6%), black (16.4%)	3.17 (1.16 to 8.63)	yes	7	1133
Zhou25	China	2014	29.5	20.3	16–20 weeks	ECLIA	<10th	<20 ng/mL	Asian	2.46 (0.71 to 8.46)	no	8	1923
Choi26	Korea	2015	32.0	20.2	first or second or third trimester	LC-MS/MS	<10th	<20 ng/mL	Asian	0.448 (0.149 to 1.351)	yes	6	220
Ong18	Singapore	2016	30.5	26.1	26–28 weeks	LC-MS/MS	<10th	<20 ng/mL	Asian	1.00 (0.56 to 1.79)	yes	8	910
Kiely27	Ireland	2016	30.5	24.9	14–16 weeks	LC-MS/MS	<10th	<20 ng/mL	White (98%), others (2%)	0.88 (0.60 to 1.28)	yes	6	1768
Scholl28	USA	2014	22.8	26	13.8±5.6 weeks	HPLC	<10th	<20 ng/mL	Hispanic (51.4%), non-Hispanic black (34.4%), non-Hispanic white (14.2%)	0.930 (0.568 to 1.523)	no	8	1045
Chen4	China	2015	27.5	NA	first or second or third trimester	RIA	<10th	<20 ng/mL	Asian	6.47 (4.30 to 9.75)	yes	6	3658
Boyle29	New Zealand	2016	30.3	24.8	15 weeks	LC-MS/MS	<10th	<20 ng/mL	NZ European (83.8%), other ethnicities (16.2%)	1.33 (0.91 to 1.96)	yes	7	2065
Berg30	The Netherlands	2013	NA	NA	12.9 weeks	enzyme immunoassay	<10th	<20 ng/mL	NA	1.57 (1.03 to 2.39)	yes	7	2274
Gerand16	USA	2013	NA	22.3	20.6 weeks	LC-MS/MS	<10th	<15 ng/mL	White (52.1%), Black (41.6%), Puerto Rican (6.3%)	1.284 (1.026 to 1.608)	no	6	2146
Miliku31	The Netherlands	2016	29.7	23.7	20.3 weeks	LC-MS/MS	<15th	<10 ng/mL	European (57.3%), Cape Verdean (4.4%), Dutch Antillean (3.5%), Moroccan (6.6%), Surinamese (9.1%), Turkish (9.2%), other (9.9%)	2.07 (1.33 to 3.22)	yes	7	7176
Nobles17	USA	2015	NA	>25	first or second or third trimester	ECLIA	<10th	<20 ng/mL	White (75.6%), black (13.5%)	2.14 (0.67 to 6.88)	yes	8	237

CI, confidence interval; CLIA, chemiluminescence immunoassay; ECLIA, electrochemiluminescence immunoassay; HPLC, high-performance liquid chromatography; LC-MS/MS, liquid chromatography tandem mass spectrometry; NA, not available; OR, odds ratio; RIA, radioimmunoassay; SGA, small for gestational age.

Meta-analysis results

The overall results revealed that maternal vitamin D deficiency during pregnancy was significantly associated with an increased risk of infants who are SGA (pooled OR=1.588; 95% CI 1.138 to 2.216; p<0.01) in the random effects model. A forest plot showing the details is presented in figure 2.

Figure 2

Forest plots of summary crude odds ratios of the association between vitamin D deficiency.

Subgroup analysis

Due to the existence of heterogeneity (I2=84.2%; p<0.001), subgroup analysis was performed to investigate the possible sources of heterogeneity in the meta-analysis (table 2). The subgroups were created based on cut-off vitamin D levels, measurement of vitamin D, sample size, study quality (NOS score), whether the study adjusted for critical confounders, and the gestational week in which blood sampling was performed. In subgroup analyses, the CIs for each subgroup were overlapped, indicating no significant differences in the effect estimates. Thus, there were no differences in the association between vitamin D deficiency and infants who were SGA based on study quality, time of blood sampling, cut-off vitamin D levels, sample size, adjustment for critical confounders, and measurement of vitamin D (table 2). However, we did not conduct subgroup analyses regarding ethnicity, pre-pregnancy BMI, gestational age of infant at birth, and season during which blood sampling was performed due to insufficient or unspecific data in some studies.

Table 2

Subgroup analysis of the association between maternal vitamin D deficiency and SGA

Stratification group	N	p Value for OR	OR (95% CI)	Heterogeneity test
				I2(%)	p Value
Study quality (NOS)
High	915 17 18 24 25 28–31	<0.001	1.555 (1.239 to 1.951)	37.6	0.118
Low	44 16 26 27	0.440	1.441 (0.570 to 3.641)	95.2	<0.001
Gestation of blood sampling
first trimester	515 27–30	0.104	1.286 (0.950 to 1.741)	65.9	0.020
second trimester	516 18 24 25 31	0.011	1.577 (1.110 to 2.240)	51.1	0.085
mixed (first or second or third)	34 17 26	0.432		90.6	<0.001
Cut-off values
<10 ng/mL	224 31	0.001	2.219 (1.480 to 3.325)	0	0.446
<15 ng/mL	215 16	0.029	1.532 (1.046 to 2.246)	73.2	0.054
<20 ng/mL	94 17 18 25–30	0.172	1.448 (0.851 to 2.465)	88.2	<0.001
Sample size
>1000	104 15 16 24 25 27–31	0.003	1.760 (1.217 to 2.544)	86.8	<0.001
>1000	317 18 26	0.946	0.975 (0.476 to 1.999)	45.5	0.160
Adjust for critical confounders
yes	104 15 17 18 24 26 29–31	0.018	1.681 (1.094 to 2.584)	86.3	<0.001
no	316 25 28	0.180	1.219 (0.912 to 1.629)	22.3	0.276
Measurement of vitamin D
LC-MS/MS	616 18 26 27 29 31	0.204	1.195 (0.908 to 1.573)	59.5	0.031
Others	74 15 17 24 25 28 29	0.006	2.224 (1.263 to 3.918)	85.8	<0.001

Sensitivity analysis and publication bias

To evaluate the stability of our results, sensitivity analysis was performed. Chen’s study4 was discovered to be responsible for most of the heterogeneity in this meta-analysis. Excluding that study resulted in low heterogeneity among the remaining studies (I2=55.4%, p=0.010) with a pooled OR of 1.336 (95% CI 1.103 to 1.692). Furthermore, there were no obvious changes in the pooled ORs as a result of the exclusion of any other single study; the pooled ORs obtained ranged from 1.366 (95% CI 1.103 to 1.692) to 1.693 (95% CI 1.211 to 2.366), and each was statistically significant (table 3). Additionally, no publication bias was identified using Begg’s test (p=0.669) and Egger’s regression test (p=0.815). A funnel plot displaying the details is presented in figure 3.

Table 3

Sensitivity analyses of the association between vitamin D deficiency and SGA

Study omitted	OR (95% CI)	p value	I2 (%)	p value
Leffelaar15	1.559 (1.074 to 2.263)	0.020	85.2	<0.001
Burris24	1.527 (1.084 to 2.152)	0.016	85.1	<0.001
Zhou25	1.557 (1.105 to 2.195)	0.011	85.4	<0.001
Choi26	1.693 (1.211 to 2.366)	0.002	84.5	<0.001
Ong18	1.652 (1.162 to 2.350)	0.005	85.0	<0.001
Kiely27	1.686 (1.191 to 2.387)	0.003	83.4	<0.001
Scholl28	1.669 (1.174 to 2.371)	0.004	84.6	<0.001
Chen4	1.366 (1.103 to 1.692)	0.004	55.4	0.010
Boyle29	1.616 (1.118 to 2.335)	0.011	85.4	<0.001
Berg30	1.590 (1.102 to 2.293)	0.013	85.4	<0.001
Gerand16	1.624 (1.100 to 2.397)	0.015	84.7	<0.001
Miliku31	1.548 (1.079 to 2.220)	0.018	85.1	<0.001
Nobles17	1.565 (1.109 to 2.209)	0.011	85.4	<0.001

Figure 3

Funnel plot for small for gestational age. Log odds ratio (OR) of the individual studies plotted against the SE of log OR.

Discussion

The prevalence of vitamin D deficiency during pregnancy and its association with the risk of infants who are SGA is attracting increasing attention. The present meta-analysis of prospective cohort studies suggested that vitamin D deficiency is significantly associated with a higher risk of SGA. No publication bias was detected, and sensitivity analysis demonstrated that no single study markedly affected the results, which indicated that the results of our meta-analysis are stable and reliable.

The findings of our study are in agreement with several previous studies. One previous meta-analysis showed that low maternal vitamin D levels during pregnancy may be associated with an increased risk of SGA, gestational diabetes mellitus and preterm birth.5 Similarly, another vital meta-analysis suggested that vitamin D insufficiency was associated with an increased risk of SGA, preeclampsia and bacterial vaginosis.6 However, those meta-analyses included both case-control and prospective cohort studies and did not include the most recently published cohort studies; additionally, they did not evaluate the association using specific subgroup analysis. Moreover, the cut-off vitamin D levels differed between different studies. Thus, we conducted this meta-analysis to provide stronger evidence for the association between vitamin D and SGA.

The heterogeneity test (Cochran Q test) revealed significant heterogeneity among the studies in this meta-analysis. We investigated the potential factors affecting the results by performing subgroup analysis. The results of the subgroup analyses demonstrated no significant differences in the association between vitamin D deficiency and SGA based on study quality, gestational week during which blood sampling was performed, cut-off values, sample size, adjustment for critical confounders and measurement of vitamin D; however, other factors may have contributed to the heterogeneity in our meta-analysis. Maternal ethnicity, season during which blood sampling was performed, and sunlight exposure and diet during pregnancy are confounding factors for the association between vitamin D deficiency and SGA. Sensitivity analysis revealed that exclusion of any single study did not materially alter the overall combined effect, but also that Chen’s study4 probably contributed greatly to the heterogeneity observed. Therefore, we should interpret the results of this meta-analysis objectively.

The underlying mechanism through which vitamin D deficiency increases the risk of SGA infants is not entirely clear but may be related to the inflammatory response. Vitamin D deficiency can increase levels of proinflammatory cytokines, leading to oxidative stress. Lower 25(OH)D status is associated with increased vascular endothelial cell expression of nuclear factor κB (NFκB) and interleukin 6 and with decreased expression of vitamin D receptor and 1-α hydroxylase.32 One study reported that levels of proinflammatory cytokines in the cord blood of infants who were SGA were significantly higher than those in the cord blood of infants who were not SGA.33 Mullins et al 34 reported that more tumour necrosis factor (TNF-α) was expressed in pregnant women with infants who were SGA than in those with infants who were not SGA. As a critical inflammatory factor, TNF-α was previously revealed to inhibit placental hormone synthesis and stimulate calcitriol catabolism through the regulation of enzymes.35 Vitamin D may also play a crucial role in innate and adaptive immunity by inhibiting the decidual NFκB pathway to reduce inflammatory response, because NFκB is a main transcription factor of inflammatory mediators.36

Maternal vitamin D deficiency is common and is influenced by numerous variables, including ethnicity, region of residence, skin pigmentation, sun exposure, season, age and vitamin D supplementation.37 The American Association of Endocrinology states that pregnant women require at least 600 IU/day of vitamin D and that at least 1500–2000 IU/day of vitamin D may be necessary to maintain a blood level of >30 ng/mL.38 However, recommendations for vitamin D supplementation in pregnant women are scant. Vitamin D supplementation during pregnancy was suggested as an intervention to prevent adverse pregnancy outcomes.39 A randomised controlled trial reported that maternal vitamin D supplementation of 2000 or 4000 IU/day appeared to be safe during pregnancy, and the most effective supplementation for optimising serum vitamin D concentrations in mothers and their infants was 4000 IU/day.40 This result is consistent with another randomised controlled trial in Pakistan.41 In two studies, low vitamin D levels during pregnancy increased the risk of SGA, however vitamin D supplementation did not significantly reduce the risk of SGA (OR=0.78, 95% CI 0.50 to 1.2142 and OR=0.67, 95% CI 0.40 to 1.11)43. Another study found it difficult to draw a final conclusion regarding the need for vitamin D supplementation during pregnancy.44 Therefore, larger randomised controlled trials are required to assess the value of such interventions, and will have a significant impact on the guidance regarding perinatal care.

Our study had several strengths. First, to ensure that evidence was reliable, we included only prospective cohort studies, which have more advantages than case-control studies. Second, no publication bias was present in our meta-analysis, indicating that its results may be unbiased and credible. Finally, our study’s subgroup analysis enabled thorough understanding of the current evidence. However, several limitations should also be acknowledged. The association between maternal vitamin D status and SGA risk may have been affected by confounding factors such as pre-pregnancy BMI, age, education, ethnicity and sunlight exposure; not all the included studies controlled for these confounding factors. Additionally, the included studies had different definitions of vitamin D deficiency, insufficiency or sufficiency, which may have affected the results. Lastly, pooled data without detailed individual information were used to perform the meta-analysis, which restricted us from obtaining comprehensive results.

Conclusions

The present study indicates that low vitamin D levels in pregnant women are associated with an increased risk of infants who are SGA. Further confirmation of these findings in larger-sample studies is required. The role of vitamin D in the pathogenesis of SGA should be emphasised. Additionally, early screening for vitamin D deficiency among pregnant women may be necessary.