Skip to main content
BMJ Open logoLink to BMJ Open
. 2021 Oct 1;11(10):e048980. doi: 10.1136/bmjopen-2021-048980

Maternal vitamin D intake and BMI during pregnancy in relation to child’s growth and weight status from birth to 8 years: a large national cohort study

Anna Amberntsson 1,, Eleni Papadopoulou 2, Anna Winkvist 1, Lauren Lissner 1, Helle Margrete Meltzer 2, Anne Lise Brantsaeter 2, Hanna Augustin 1
PMCID: PMC8488702  PMID: 34598984

Abstract

Objectives

To examine the associations between maternal vitamin D intake and childhood growth and risk of overweight up to 8 years. We further examined the effect modification by maternal prepregnancy body mass index (BMI).

Design

Prospective population-based pregnancy cohort study.

Setting

The Norwegian Mother, Father and Child Cohort Study.

Participants

In total, 58 724 mothers and 66 840 singleton children, with information on maternal vitamin D intake during the pregnancy and minimum one postnatal anthropometric measurement.

Outcome measures

Predicted weight and height growth trajectories and velocities from 1 month to 8 years, rapid growth during infancy and toddlerhood, and risk of overweight in preschool and school age.

Results

Overall, maternal vitamin D intake was associated with lower weight trajectory, lower odds of rapid weight growth and higher odds of childhood overweight. In children of mothers with prepregnancy normal weight, maternal vitamin D intake was negatively associated with weight trajectory and lower OR of a rapid weight growth during the first year, compared with reference (<5 µg/day). Children of mothers with normal weight, with maternal vitamin D intakes of 10–15 and >15 µg/day, also had 0.86 (95% CI 0.77 to 0.97) and 0.88 (95% CI 0.79 to 0.99) lower odds for overweight at 3 years, compared with reference. In contrast, in children of mothers with prepregnancy overweight (BMI ≥25 kg/m2), vitamin D intake was positively associated with weight trajectory. Children of mothers with overweight, with maternal vitamin D intake of 5–9.9 µg/day, also had (1.09 (95% CI 1.01 to 1.18) and 1.12 (95% CI 1.02 to 1.23)) higher odds for overweight at 5 years and 8 years, compared with reference.

Conclusions

Maternal vitamin D intake affects postnatal growth and is inversely associated with childhood overweight in children of mothers with normal weight. Associations between maternal vitamin D intake and child growth and risk of overweight varied by prepregnancy BMI.

Keywords: epidemiology, nutrition & dietetics, preventive medicine, public health, social medicine


Strengths and limitations of this study.

  • To our knowledge, this is the first study to investigate the association between maternal vitamin D intake during the pregnancy and postnatal growth.

  • The large, nationwide study population is a major strength.

  • Maternal vitamin D intake was estimated from both foods and supplements by a validated Food Frequency Questionnaire.

  • A limitation is self-reported maternal data and parental-reported growth data of the child

Introduction

Vitamin D has received much attention over the last few decades and its role in human physiology seems to extend beyond bone health.1 The human skin can synthesise a precursor of the vitamin when exposed to ultra violet-B rays of wavelength 290–315 nm.2 At northern latitudes, this only occurs from April to October. Therefore, intake of vitamin D from foods and supplements becomes important during winter months in many countries, including the Nordics.3 Vitamin D occurs naturally in a few foods, such as fatty fish, but is presently added to many fortified foods in the form of vitamin D3.2 The more uncommon form vitamin D2 is only present in some plants and mushrooms.4 Synthesised or ingested vitamin D (vitamin D3 and vitamin D2) is hydroxylated in the liver to 25-hydroxyvitamin D (25OHD), an established blood biomarker of vitamin D status. Further, 25OHD undergoes another hydroxylation primarily in the kidneys to form the physiologically active 1,25-dihydroxyvitamin D (1,25OH2D).4 The circulating concentration of 25OHD has shown to be inversely associated with body mass index (BMI), suggesting that individuals with obesity have a decreased bioavailability of vitamin D.5

Worldwide, the prevalence of vitamin D insufficiency (here defined as 25OHD<50 nmol/L) is high among pregnant women.6 In some regions, such as South-East Asia and Western Pacific, the prevalence of vitamin D insufficiency were as high as 80%.6 In contrast, in Europe and Eastern Mediterranean, the prevalence of vitamin D insufficiency were 57% and 46%, respectively.6 In the Nordic countries, up to 28% of the pregnant fair-skinned European women have vitamin D insufficiency, but among non-fair skinned European women living in the Nordic countries, the prevalence is rising between 69% and 82%.7–9 Therefore, on a population level, vitamin D insufficiency and deficiency in pregnancy are a relevant public health issue affecting the future generations. Pregnancy is a critical period where fetal exposure to poor conditions can affect later outcomes in the offspring.10 11 Maternal vitamin D status, assessed as serum or plasma 25OHD concentrations, has been suggested as a potential modifiable early-life risk factor for development of childhood obesity.12 Early rapid growth can increase the risk for childhood obesity, and both conditions are associated with several comorbidities in both childhood and adulthood, and is likely to follow the child through life.13–16 In 2018, globally the prevalence of children with overweight and obesity under 5 years of age had risen to 40 million.17

Vitamin D contributes to the embryo implantation and is also important for placental function.18 The maternal 25OHD easily passes the placenta and is further hydroxylated into 1,25OH2D by the fetal kidneys, providing the fetus with vitamin D.19 Vitamin D deficiency during pregnancy increases risk of developing rickets in the child.20 Maternal vitamin D deficiency has also been associated with several other adverse neonatal outcomes, such as small for gestational age.21 Associations have been found between low maternal vitamin D status and an increased risk of the child being born small for gestational age and with a lower birth weight,22 as well as accelerated growth in weight and height during infancy.23 Maternal vitamin D status has also been inversely associated with childhood adiposity at 4 and 6 years24 and childhood insulin resistance at 9.5 years.25 Further, associations of an increased risk of childhood overweight at 12 months of age was seen in children of mothers with low vitamin D status during the pregnancy.26 27 However, some studies have found opposite results, that is, that poor maternal vitamin D status was associated with reduced child growth,28 while others have reported null associations with childhood adiposity25 29 30 and growth.26 29 Even though the vitamin D intake from food and supplements is a determinant of vitamin D status, the role of maternal vitamin D intake during pregnancy has been less studied and the limited evidence regarding fetal growth is discordant.31 32 Associations between maternal vitamin D intake in pregnancy and postnatal growth and overweight have not yet been explored. Since vitamin D intake affects vitamin D status,4 and due to the decreased bioavailability of vitamin D in obesity, it is possible that such an association could be modified by maternal prepregnancy BMI.

Our objectives were to assess the associations between maternal vitamin D intake during the pregnancy and childhood weight and height growth trajectories and velocities, rapid growth and risk of overweight up to 8 years, in a large, prospective pregnancy cohort study. Further, we aimed to examine maternal prepregnancy BMI as an effect modifier.

Method

Study population

Our study draws resources from the Norwegian Mother, Father and Child Cohort Study (MoBa), a population-based pregnancy cohort study conducted by the Norwegian Institute of Public Health (NIPH).33 Participants were recruited from all over Norway during 1999–2008 and invited at the time of their first ultrasound scanning. The women consented to participation in 41% of the pregnancies. The study now includes 95 200 mothers, 75 200 fathers and 114 500 children. The current study is based on version 12 of the quality-assured data files released for research in January 2019. The establishment of MoBa and initial data collection was based on a license from the Norwegian Data Protection Agency and approval from The Regional Committees for Medical and Health Research Ethics. The MoBa cohort is now based on regulations related to the Norwegian Health Registry Act.

Questionnaires were sent out to the participating women in pregnancy week 15, week 22 and week 30. The questionnaires in week 15 and 30 requested background information, such as education and parity, whereas the questionnaire in week 22 was a Food Frequency Questionnaire (FFQ). After delivery, follow-up of the participants by questionnaires was conducted at six different time points; 6 months, 18 months, 36 months, 5 years, 7 years and 8 years.33 34 Participants in MoBa received all questionnaires in Norwegian, and lack of language skills was the only exclusion criterion. However, the questionnaires are now available in English translation on the NIPH website.35 The MoBa database is linked to the Medical Birth Registry of Norway, which is a national health registry containing information about all births in Norway.36

Exclusion criteria for this study were stillbirth, multiple gestation, malformation and chromosomal abnormalities. Of the eligible 105 344 mother–child pairs, further exclusion was done due to no available data on vitamin D intake during pregnancy, child’s gender and birth weight and length, and implausible maternal energy intakes (<1075 kcal and >4780 kcal per day).37 The final study population included 66 840 mother-child pairs (58 724 mothers and 66 840 children) with available information on all covariates and at least one postnatal measurement on weight and length/height. There are more children than mothers because 22 039 of the children were siblings. The retention rate of our study population by follow-up is presented in online supplemental table 1.

Supplementary data

bmjopen-2021-048980supp001.pdf (270.4KB, pdf)

Patient and public involvement

Neither patients nor the public were involved in the design and conduct of this study. The cohort is ongoing and information about research projects and results from MoBa are available to participants, researchers and the public on the NIPH website.38

Maternal vitamin D intake

Maternal diet during pregnancy was assessed by a validated semiquantitative FFQ, during gestational week 22. This FFQ was used in the MoBa study from the year 2002 and onwards.37 Pregnant women were asked to report how often they consumed 225 different food and beverage items and their supplement use since becoming pregnant. The FFQ was tailored to capture dietary habits and supplement use during the first half of pregnancy. Of all the participating women in MoBa, 93% answered the FFQ.37 A validation study in a subset of 119 MoBa participants demonstrated satisfactory validity for FFQ intakes and fair ability of the FFQ to rank individuals according to food, energy and nutrient intakes using a 4-day weighed food dairy and biological markers of food intake as reference methods.39 40 The results showed that vitamin D supplement use was the dominant predictor of plasma 25OHD, whereas vitamin D from foods was not associated with 25OHD. The majority of participants were recruited in the months with low sun exposure (October to April), but even within this range seasonal variation in plasma 25OHD could be observed.40 The Spearman’s rank correlation coefficient between maternal vitamin D intake and plasma 25OHD concentration was r=0.32 (p<0.01) for all participants in the validation study (n=119) and r=0.45 (p<0.01) when only individuals recruited during October to April (n=81) were included.40 Total vitamin D (from foods and supplements), vitamin D from foods alone and vitamin D from supplements alone were estimated from the FFQ and used in our study.

Maternal vitamin D intake was categorised according to national recommended intakes at the time of MoBa recruitment as well as according to current recommendations.41 Total vitamin D intake (from foods and supplements), and vitamin D intake from supplements alone, were categorised into; <5 µg/day, 5–9.9 µg/day, 10–15 µg/day and >15 µg/day. The categories for vitamin D intake from foods alone were: <2.5 µg/day, 2.5–4.9 µg/day, 5.0–7.5 µg/day and >7.5 µg/day.

Childhood anthropometry

Measurements of weight and height and the dates of the measurements of the children were obtained at eleven ages (6 weeks, 3 months, 6 months and 8 months and 1 year, 1.5 years, 2 years, 3 years, 5 years, 7 years and 8 years) by six questionnaires. During the first 18 months postpartum, the mothers were asked to report the child’s documented anthropometric measures and dates from the health card, but no specification was made for measurements onwards. There were on average seven reported measurements of weight and height, respectively, per child. From the available reported growth measurements, individual growth trajectories for weight and height were predicted using the Jenss-Bayley growth curve model42 43 with the Saemix algorithm43 applied. Hence, the predicted measures of weight and height were obtained on the dates of the reported anthropometrics. Implausible values of the reported anthropometrics were identified and removed if they deviated ≥3 SD from the predicted value, derived from the growth curve model. About 3% (n=50 331) of the weight and height values were excluded as implausible.

Outcomes

After exclusion of implausible reported anthropometric values, individual growth trajectories of weight and height, as well as weight growth velocity (g/month) and height growth velocity (cm/month) were predicted at nine different age points (1 month, 3 months, 6 months, 1 year, 1.5 years, 2 years, 3 years, 5 years and 8 years). The trajectories and velocities were predicted at the exact age points (the exact day the child turned 1 month, 3 months, etc), separately for girls and boys, in order to compensate for the loss to follow-up of anthropometric measures. By not including birth weight and length in the models of growth, the effect of maternal vitamin D intake on growth could be assessed independently of its potential effect on birth size,31 32 as birth size might influence the estimated growth trajectories.

Rapid weight and height growth in infancy and toddlerhood (up to 2 years) were evaluated using conditional growth modelling, an approach to obtain growth measures of weight and height independent of their prior measurements.44 Reported anthropometrics were used for the calculation of conditional weight and height at 12 months and at 2 years. Standardised residuals were calculated by a regression of the anthropometric measure of interest, adjusting for its prior measurements. Rapid weight or height growth were defined as the residual deviating >1 SD from the expected value. All other children were defined as non-rapid growers and were used as the reference.

Children’s BMI values were calculated at preschool age (3 years and 5 years) and school age (8 years) using the predicted values from the growth model. By using the extended International Obesity Task Force gender-specific cut offs,45 overweight and obesity were defined. The outcome childhood overweight includes obesity (further denoted as overweight). The BMI cut-offs used for categorisation at the different ages are presented in online supplemental table 2.

Statistical analysis

Differences in characteristics of the study population by categories of maternal vitamin D intake were investigated using χ2 test for categorical variables and analysis of variance for continuous variables. The association between maternal vitamin D intake and predicted weight and height growth trajectories and velocities at the nine time points were examined by multilevel mixed effects linear regression model, with a random intercept by child and random slope for age. The covariates were included as fixed in the mixed effect models. Logistic regression was used to investigate the association between total maternal vitamin D intake and the risk to experience rapid growth in infancy and toddlerhood, and risk of overweight in preschool and school ages. The lowest categories of maternal vitamin D intake was used as the reference group (for total intake and for supplementary intake) <5 µg/day, and for food intake <2.5 µg/day. Our primary exposure was total maternal vitamin D intake and in secondary analyses, we examined intakes from food and supplements separately.

By drawing a directed acyclic graph, hypotheses about the causal paths were set and potential confounders identified (online supplemental figure 1). Based on the pathways in the graph, models were adjusted for maternal education as a proxy for socioeconomic position, parity, maternal milk and yoghurt intake, maternal fibre intake, maternal prepregnancy BMI and child’s gender. Maternal age, maternal energy intake and birth weight were also considered but not included in the final models, as these variables did not change the estimated effect. Since some mothers participated in more than one mother–child pair, all regression models were also adjusted for random effects of sibling clusters. Potential interaction variables tested were maternal prepregnancy BMI (in kg/m2)46 47 and birth weight.32 48 Interaction were considered if p<0.100 for the included interaction variable. The only significant interaction variable was prepregnancy BMI (p<0.001). Therefore, results are presented for all mothers, and separately for children of mothers with prepregnancy BMI 18.5–24.9 kg/m2 (further denoted as mothers with normal weight), and for children of mothers with prepregnancy BMI ≥25 kg/m2 (further denoted as mothers with overweight). Maternal age was divided into four categories (<20, 20–29, 30–39, ≥40 years). Maternal education was divided into three categories (<13, 13–16 and >16 years). Parity was categorised as primiparous or multiparous, for women without and with children from previous than the index pregnancies, respectively. Maternal prepregnancy BMI was divided into four categories (<18.5, 18.5–24.9, 25–29.9 and ≥30 kg/m2), according to WHO.49 Smoking during pregnancy was categorised as never and ever.

Three sensitivity analyses were performed: (1) using the reported measures of weight and length/height instead of the predicted anthropometrics, (2) after excluding mothers with total vitamin D intakes >90th percentile (18.8 µg/day), (3) adjustment for birth weight in the childhood overweight models.

As an approach to estimate causal effects, discordant sibling analysis was conducted, with the purpose to control for unmeasured familial confounding.50 51 In total, there were 22 039 siblings identified in the study subpopulation. For all women who participated with more than one pregnancy, mean maternal total vitamin D intake by family was calculated, as well as each sibling’s deviation from its family mean. A cut-off at 5 µg/day was used, as this corresponds to the range of the maternal vitamin D categories. Discordant siblings were defined as having a maternal vitamin D intake deviating more than, or less than the cut-off from its family mean. Finally, weight and height growth trajectories, and the risk of overweight at 3, 5 and 8 years, were compared between siblings categorised as discordant (n=2346). The sibling in the lower vitamin D category was used as a reference.

The main analyses were performed using Stata V.16 statistical software (Stata), and RStudio V.1.2.5042 was used for the growth models.

Results

Maternal characteristics and vitamin D intake

For mothers taking a vitamin D supplement, the supplement contributed overall with 68% of the total vitamin D intake. Total maternal vitamin D intake was positively associated with maternal age, education, vitamin D supplement use in pregnancy, gestational weight gain and maternal energy intake and negatively associated with parity, prepregnancy BMI and maternal smoking in pregnancy (table 1). In 31% of the pregnancies, the mother had a BMI≥25 kg/m2. The median (25th−75th centiles) total vitamin D intake from foods and supplements was 7.2 µg/day (4.2–12.1 µg/day) for the included participants and 6.7 µg/day (3.9–11.7 µg/day) for the excluded group (n=13 826, p<0.001) (data not shown). The median vitamin D intake from foods alone was 3.1 µg/day (2.0–4.4 µg/day) for the included participants and 3.1 µg/day (2–4.5 µg/day) for the excluded group, with available information on vitamin D intake (n=16 872 mothers, p=0.589).

Table 1.

Study population characteristics by categories of total maternal vitamin D intake during pregnancy (n=66 840)

Vitamin D intake <5 µg/day Vitamin D intake
5–9.9 µg/day
Vitamin D intake
10–15 µg/day
Vitamin D intake
>15 µg/day
All P value*
N=21 748 N=22 718 N=11 143 N=11 231 N=66 840
N % N % N % N % N %
Maternal age (years) <0.001
 <20 194 0.9 135 0.6 83 0.8 82 0.7 494 0.7
 20–29 9566 44 9740 42.9 4684 42.0 4415 39.3 28 405 42.5
 30–39 11 622 53.4 12 449 54.9 6120 54.9 6429 57.3 36 620 54.8
 ≥40 366 1.7 394 2.3 256 2.3 305 2.7 1321 2.0
Maternal education (years)
 <13 7480 34.4 6371 28.1 2923 26.2 2822 25.1 19 596 29.3 <0.001
 13–16 9238 42.5 10 138 44.6 4954 44.5 4899 43.6 29 229 43.7
 >16 5030 23.1 6209 27.3 3266 29.3 3510 31.3 18 015 27.0
Parity <0.001
 Primiparous 8733 40.2 10 546 46.4 5469 49.1 5677 50.6 30 425 45.5
 Multiparious 13 015 59.8 12 172 53.6 5674 50.9 5554 49.4 36 415 54.5
Prepregnancy BMI (kg/m2) <0.001
 <18.5 534 2.5 685 3 336 3 358 3.2 1913 2.9
 18.5–24.9 13 320 61.2 15 087 66.4 7599 68.2 7974 71 43 980 65.8
 25–29.9 5385 24.8 4870 21.4 2273 20.4 2152 19.2 14 680 22
 ≥30 2509 11.5 2076 9.1 935 8.4 747 6.7 6267 9.4
Maternal smoking in pregnancy <0.001
 Never 17 759 90.7 19 278 92.7 9643 93.8 9707 93.8 56 387 92.4
 Ever 1826 9.3 1525 7.3 640 6.2 648 6.2 4628 7.6
Maternal vitamin D supplement use 9134 42 20 446 90 11 031 99 11 175 99.5 51 667 77.3 <0.001
Child’s gender 0.198
 Girls 10 711 49.3 11 122 49 5385 48.3 5412 48.2 32 630 48.8
 Boys 11 037 50.7 11 596 51 5758 51.7 5819 51.8 34 210 51.2
Median Range† Median Range† Median Range† Median Range† Median Range†
Total maternal vitamin D intake (µg/day) 3.3 1.1–4.8 7.1 5.2–9.7 12.0 10.2–14.6 19.8 15.4–33.6 7.2 1.8–23.0 <0.001
Gestational age (weeks) 40.1 37.3–42.1 40.1 37.3–42.1 40.3 37.3–42.1 40.3 37.3–42.1 40.1 37.3–42.1 0.224
Gestational weight gain (kg) 14.2 5–25 14.5 6–25 14.4 6–25 15.0 6–25 14.5 6–25 <0.001
Birth weight (g) 3630 2780–4480 3620 2780–4470 3620 2800–4430 3620 2780–4460 3620 2780–4464 <0.001
Maternal energy intake (kcal) 2092 1384–3166 2261 1491–3462 2321 1521–3558 2324 1527–3631 2222 1457–3436 <0.001

2 test for categorical variables and ANOVA for continuous variables.

†5–95th percentile.

ANOVA, analysis of variance.

Total maternal vitamin D intake during pregnancy and childhood growth

Weight and height growth trajectories and velocities from 1 month to 8 years

Overall, total maternal vitamin D intake was negatively associated with child weight growth from 1 month to 8 years for intakes ≥10 µg/day, compared with low intakes (<5 µg/day, reference group) (tables 2 and 3). Prepregnancy BMI modified the association between the exposure and the outcome (p value for interaction <0.001). More specifically, among mothers with normal prepregnancy BMI, we found that higher maternal vitamin D intake was negatively associated with child’s weight, especially during the first 3 months, compared with low intakes (tables 2 and 3). The negative association with child’s weight persisted for intakes of 10–15 µg/day and for up to 2 years, while no further reduction in weight was observed for higher intakes and after 3 months (>15 µg/day). Similar negative associations with weight from 3 months to 2 years were found when we examined maternal vitamin D intake from supplements only (online supplemental tables 3 and 4). In addition, maternal vitamin D intakes of 10–15 µg/day were associated with a lower height trajectory, compared with lower intakes, while no other intake level was associated with the child’s height. No association was found between maternal vitamin D intake and child’s weight or height growth velocity from 1 month to 8 years of age, in children of mothers with normal weight (online supplemental tables 8 and 9).

Table 2.

Associations between total maternal vitamin D intake and childhood weight and height trajectories from 1 month to 2 years, using predicted anthropometrics

Maternal vitamin D intake Infancy Toddlerhood
1 month 3 months 6 months 12 months 18 months 2 years
Beta (95% CI) Beta (95% CI) Beta (95% CI) Beta (95% CI) Beta (95% CI) Beta (95% CI)
All mothers n=66 840
Weight (g)
<5 µg (ref)
 5–9.9 µg −9.4 (−19.1 to 0.2) −9.2 (−19.9 to 0.6) −8.8 (−19.2 to 1.5) −8.1 (−20.7 to 4.4) −7.4 (−23.1 to 8.3) −6.7 (−26.0 to 12.5)
 10–15 µg −7.6 (−19.5 to 4.3) −9.3 (−21.3 to 2.8) −11.7 (−24.5 to 1.0) −16.7 (−32.2 to −1.2) −21.6 (−40.9 to −2.3) −26.6 (−50.3 to −2.9)
 >15 µg −14.7 (−26.7 to −2.7) −15.4 (−27.6 to −3.3) −16.6 (−29.5 to −3.8) −19.0 (−34.5 to −3.5) −21.4 (−40.7 to −2.1) −23.7 (−47.4 to 0.1)
Height (cm)
<5 µg (ref)
 5–9.9 µg −0.01 (−0.07 to 0.04) −0.01 (−0.06 to 0.04) −0.01 (−0.06 to 0.04) −0.01 (−0.06 to 0.04) −0.01 (−0.05 to 0.04) −0.001 (−0.05 to 0.04)
 10–15 µg −0.05 (−0.11 to 0.01) −0.05 (−0.11 to 0.01) −0.05 (−0.11 to 0.01) −0.05 (−0.11 to 0.003) −0.06 (−0.11 to −0.002) −0.06 (−0.11 to −0.01)
 >15 µg −0.04 (−0.10 to 0.03) −0.04 (−0.10 to 0.03) −0.03 (−0.09 to 0.03) −0.03 (−0.09 to 0.03) −0.02 (−0.08 to 0.03) −0.02 (−0.07 to 0.04)
Mothers with normal weight* n=41 970
Weight (g)
<5 µg (ref)
 5–9.9 µg −11.5 (−22.4 to −0.6) −10.9 (−22.0 to 0.14) −10.1 (−21.8 to 1.6) −8.4 (−22.5 to 5.8) −6.7 (−24.3 to 10.9) −5.0 (−26.6 to 16.6)
 10–15 µg −14.5 (−27.7 to −1.2) −15.7 (−29.1 to −2.3) −17.5 (−31.7 to −3.3) −21.1 (−38.2 to −4.0) −24.7 (−46.0 to −3.5) −28.4 (−54.5 to −2.3)
 >15 µg −15.2 (−28.3 to −2.1) −14.5 (−27.8 to −1.2) −13.5 (−27.5 to 0.6) −11.4 (−28.3 to 5.5) −9.3 (−30.4 to 11.7) −7.3 (−33.1 to 18.5)
Height (cm)
<5 µg (ref)
 5–9.9 µg −0.02 (−0.08 to 0.04) −0.02 (−0.08 to 0.04) −0.02 (−0.07 to 0.04) −0.02 (−0.07 to 0.04) −0.01 (−0.06 to 0.04) −0.01 (−0.06 to 0.04)
 10–15 µg −0.07 (−0.14 to −0.003) −0.07 (−0.14 to −0.005) −0.08 (−0.14 to −0.01) −0.08 (−0.15 to −0.02) −0.09 (−0.15 to −0.03) −0.09 (−0.15 to −0.03)
 >15 µg −0.05 (−0.12 to 0.02) −0.05 (−0.12 to 0.02) −0.05 (−0.11 to 0.02) −0.04 (−0.11 to 0.02) −0.04 (−0.09 to 0.02) −0.03 (−0.09 to 0.03)
Mothers with overweightn=20 080
Weight (g)
<5 µg (ref)
 5–9.9 µg −5.5 (−19.8 to 8.8) −1.4 (−15.9 to 13.1) 4.7 (−10.6 to 20.0) 16.9 (−1.6 to 35.4) 29.2 (6.1 to 52.2) 41.4 (13.1 to 69.7)
 10–15 µg 10.3 (−8.0 to 28.6) 14.4 (−4.1 to 33.0) 20.6 (1.0 to 40.2) 33.1 (9.3 to 56.8) 45.5 (15.9 to 75.0) 57.9 (21.7 to 94.1)
 >15 µg −15.6 (−34.8 to 3.7) −9.9 (−29.5 to 9.6) −1.5 (−22.1 to 19.1) 15.4 (−9.5 to 40.3) 32.3 (1.2 to 63.3) 49.2 (11.1 to 87.3)
Height (cm)
<5 µg (ref)
 5–9.9 µg −0.02 (−0.09 to 0.06) −0.02 (−0.09 to 0.06) −0.01 (−0.08 to 0.06) −0.005 (−0.07 to 0.06) 0.002 (−0.06 to 0.07) 0.009 (−0.06 to 0.07)
 10–15 µg −0.02 (−0.11 to 0.08) −0.02 (−0.11 to 0.08) −0.01 (−0.10 to 0.08) −0.003 (−0.09 to 0.09) 0.005 (−0.08 to 0.09) 0.01 (−0.07 to 0.10)
 >15 µg −0.04 (−0.14 to 0.07) −0.03 (−0.13 to 0.07) −0.03 (−0.12 to 0.07) −0.01 (−0.11 to 0.08) −0.001 (−0.09 to 0.09) 0.01 (−0.08 to 0.10)

Effect estimates derive from multilevel mixed effects linear regression model, adjusted for maternal education, parity, maternal milk and yoghurt intake, maternal fibre intake, birth weight and child’s gender. The model with all mothers was also adjusted for maternal prepregnancy BMI.

*Mothers with prepregnancy BMI 18.5–24.9 kg/m2.

†Mothers with prepregnancy BMI ≥25 kg/m2.

BMI, body mass index.

Table 3.

Associations between total maternal vitamin D intake and childhood weight and height trajectories from 3 years to 8 years, using predicted anthropometrics

Maternal vitamin D intake Preschool age School age
3 years 5 years 8 years
Beta (95% CI) Beta (95% CI) Beta (95% CI)
All mothers n=66 840
Weight (g)
<5 µg (ref)
 5–9.9 µg −5.3 (−32.4 to 21.8) −2.5 (−46.1 to 41.2) 1.8 (−67.3 to 70.9)
 10–15 µg −36.5 (−69.7 to −3.2) −56.3 (−110 to −2.7) −86.0 (−171 to −1.1)
 >15 µg −28.5 (−61.7 to 4.8) −37.9 (−91.4 to 15.5) −52.1 (−137 to 32.5)
Height (cm)
<5 µg (ref)
 5–9.9 µg 0.01 (−0.04 to 0.05) 0.02 (−0.03 to 0.07) 0.04 (−0.03 to 0.11)
 10–15 µg −0.06 (−0.11 to −0.01) −0.07 (−0.13 to −0.01) −0.09 (−0.17 to 0.003)
 >15 µg −0.01 (−0.06 to 0.05) 0.02 (−0.04 to 0.08) 0.05 (−0.04 to 0.14)
Mothers with normal weight* n=41 970
Weight (g)
<5 µg (ref)
 5–9.9 µg −1.6 (−31.9 to 28.7) 5.2 (−43.6 to 54.0) 15.3 (−62.0 to 92.6)
 10–15 µg −35.6 (−72.3 to 1.0) −50.1 (−109 to 8.9) −71.8 (−165 to 21.6)
 >15 µg −3.1 (−39.3 to 33.0) 5.1 (−53.0 to 63.3) 17.6 (−74.6 to 110)
Height (cm)
<5 µg (ref)
 5–9.9 µg −0.004 (−0.05 to 0.05) 0.008 (−0.05 to 0.06) 0.03 (−0.06 to 0.11)
 10–15 µg −0.1 (−0.16 to −0.04) −0.1 (−0.19 to −0.05) −0.1 (−0.25 to −0.05)
 >15 µg −0.02 (−0.08 to 0.04) −0.003 (−0.07 to 0.07) 0.03 (−0.07 to 0.12)
Mothers with overweightn=20 080
Weight (g)
<5 µg (ref)
 5–9.9 µg 65.8 (26.1 to 106) 115 (50.8 to 179) 188 (86.8 to 290)
 10–15 µg 82.7 (31.9 to 134) 132 (50.5 to 214) 207 (77.2 to 337)
 >15 µg 82.9 (29.5 to 136) 151 (64.4 to 237) 252 (116 to 388)
Height (cm)
<5 µg (ref)
 5–9.9 µg 0.02 (−0.04 to 0.09) 0.05 (−0.02 to 0.13) 0.09 to (−0.01 to 0.20)
 10–15 µg 0.03 (−0.05 to 0.11) 0.06 (−0.03 to 0.16) 0.1 (−0.02 to 0.25)
 >15 µg 0.04 (−0.05 to 0.12) 0.09 (−0.01 to 0.19) 0.2 (0.02 to 0.31)

Effect estimates derive from multilevel mixed effects linear regression model, adjusted for maternal education, parity, maternal milk and yoghurt intake, maternal fibre intake, birth weight and child’s gender. The model with all mothers was also adjusted for maternal prepregnancy BMI.

*Mothers with prepregnancy BMI 18.5–24.9 kg/m2.

†Mothers with prepregnancy BMI ≥25 kg/m2.

BMI, body mass index.

Among children of mothers with overweight prepregnancy BMI, any maternal vitamin D intake was positively associated with weight trajectory from 12 months onwards, compared with lower intakes (tables 2 and 3). Nevertheless, for intakes between 10–15 µg/day, the positive association with child’s weight growth was already observed from 6 months and onwards. Similar positive associations with child weight after 3 years were found when we examined the intake from food and supplements separately, but for different intake levels (online supplemental tables 3 and 4). For height growth trajectory, the only significant difference from the reference group was a positive association in children prenatally exposed to vitamin D intake of >15 µg/day at 7 and 8 years of age, but the effect estimate was small. No association was found between maternal vitamin D intake and weight or height growth velocity from 1 month to 8 years of age, in children of mothers with overweight (online supplemental tables 8 and 9).

The sensitivity analyses on the association between maternal vitamin D intake and reported anthropometrics, gave similar results as the main models, in both children of mothers with normal weight and children of mothers with overweight (results not shown). Also, when excluding the highest 90th percentile of total maternal vitamin D intake, the associations seen in the main models on child’s weights and heights remained.

Risk of rapid weight and height growth in infancy and toddlerhood

Overall, maternal vitamin D intakes of 5–9.9 and >15 µg/day was associated with lower odds of having a rapid weight gain at 12 months of age, both crude and adjusted, compared with low intakes (<5 µg/day) (table 4).

Table 4.

Associations (OR and 95% CI) between total maternal vitamin D intake and rapid growth from birth to 12 months and from birth to 2 years, using reported anthropometrics

Maternal vitamin D intake Weight growth from birth Height growth from birth
12 months 2 years 12 months 2 years
OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI)
All mothers n=39 296, 59%* n=18 360, 27% n=31 640, 47% n=14 946, 22%
<5 µg (ref)
5–9.9 µg 0.91 (0.85 to 0.97) 1.03 (0.93 to 1.15) 1.05 (0.97 to 1.13) 1.01 (0.90 to 1.14)
10–15 µg 0.93 (0.86 to 1.02) 1.02 (0.90 to 1.16) 1.02 (0.93 to 1.12) 0.95 (0.83 to 1.09)
>15 µg 0.90 (0.83 to 0.98) 0.97 (0.85 to 1.10) 1.00 (0.91 to 1.10) 1.04 (0.90 to 1.19)
Mothers with normal weight† n=25 982, 62% n=12 043, 29% n=20 658, 49% n=9700, 23%
<5 µg (ref)
5–9.9 µg 0.88 (0.81 to 0.96) 1.04 (0.91 to 1.18) 1.01 (0.91 to 1.11) 1.05 (0.91 to 1.21)
10–15 µg 0.85 (0.76 to 0.95) 1.03 (0.89 to 1.21) 0.94 (0.83 to 1.06) 0.98 (0.82 to 1.17)
>15 µg 0.86 (0.77 to 0.95) 0.97 (0.84 to 1.13) 0.94 (0.84 to 1.06) 1.01 (0.85 to 1.20)
Mothers with overweight‡ n=12 240, 61% N=5838, 29%
N=10 118, 15% N=4851, 24%
<5 µg (ref)
5–9.9 µg 0.96 (0.86 to 1.08) 1.08 (0.90 to 1.29) 1.12 (0.99 to 1.28) 1.00 (0.82 to 1.21)
10–15 µg 1.10 (0.95 to 1.27) 1.01 (0.81 to 1.27) 1.14 (0.97 to 1.34) 0.87 (0.68 to 1.12)
>15 µg 1.01 (0.87 to 1.18) 0.91 (0.72 to 1.16) 1.08 (0.91 to 1.28) 1.08 (0.84 to 1.38)

Effect estimates derived by logistic regression, adjusted for maternal education, parity, maternal milk and yoghurt intake, maternal fibre intake and child’s gender. The model with all mothers was also adjusted for maternal prepregnancy BMI.

*Proportions of the eligible pregnancies with the reported anthropometrics available from birth to the given age.

†Mothers with prepregnancy BMI 18.5–24.9 kg/m2.

‡Mothers with prepregnancy BMI ≥25 kg/m2.

BMI, body mass index.

When exploring the association by maternal prepregnancy BMI, children of mothers with normal prepregnancy weight, with total maternal vitamin D intakes of 5–9.9, 10–15 and >15 µg/day during pregnancy, had lower odds of having a rapid weight gain during the first year of life, both crude and adjusted compared with the reference group (table 4). Similar lower OR were found for the risk of rapid height gain from birth to 12 months, but the CI included 1. The associations with rapid weight and height gain from birth to 2 years were weaker.

For children of mothers with prepregnancy overweight, we found higher OR for rapid weight and height gain at 12 months and 2 years, both crude and adjusted, but these associations were weak and the confidence intervals included 1 (table 4).

In the sensitivity analyses, when excluding the 90th percentile of maternal vitamin D intakes, similar results were obtained as in the main models, for both children of mothers with normal weight, and for children of mothers with overweight.

Risk of childhood overweight in preschool and school age

Overall, the prevalence of childhood overweight was 8.9% at 3 years, 18.2% at 5 years and 6.3% at 8 years of age. Maternal vitamin D intakes of 5–9.9 and >15 µg/day were associated with a higher risk of overweight at 8 years of age, compared with the reference group (table 5). However, in children of mothers with normal weight, with total vitamin D intakes of 10–15 and >15 µg/day during pregnancy, 0.86 (95% CI 0.77 to 0.97) and 0.88 (95% CI 0.79 to 0.99) lower odds for overweight at 3 years of age were found, both crude and adjusted, compared with the reference group (table 5). At 5 years, children of mothers with vitamin D intakes of 10–15 µg/day during pregnancy, had 0.91 (95% CI 0.84 to 0.99) lower adjusted odds of being overweight, compared with the reference group. At 8 years, there was no association found for any intake group. For children of mothers with overweight, we found an increased risk of overweight at 5 years (OR 1.09, 95% CI 1.01 to 1.18) and at 8 years (OR 1.12, 95% CI 1.02 to 1.23) for children of mothers with vitamin D intakes of 5–9.9 µg/day, compared with the reference group (table 5). However, no association between maternal vitamin D intake and risk of overweight was found for children of mothers with intakes of 10–15 or >15 µg/day at 3 years, 5 years or 8 years of age.

Table 5.

Associations (OR and 95% CI) between total maternal vitamin D intake and risk of childhood overweight at 3, 5 and 8 years, using predicted anthropometrics

Maternal vitamin D intake 3 years 5 years 8 years
OR (95% CI) OR (95% CI) OR (95% CI)
All mothers n=66 840
<5 µg (ref)
5–9.9 µg 0.99 (0.93 to 1.06) 1.03 (0.98 to 1.08) 1.10 (1.03 to 1.17)
10–15 µg 0.93 (0.86 to 1.01) 0.97 (0.91 to 1.04) 1.02 (0.94 to 1.11)
>15 µg 0.97 (0.89 to 1.06) 1.00 (0.94 to 1.06) 1.09 (1.01 to 1.19)
P value for trend* 0.222 0.553 0.098
Mothers with normal weight† n=41 970
<5 µg (ref)
5–9.9 µg 0.92 (0.84 to 1.01) 0.97 (0.91 to 1.04) 1.07 (0.98 to 1.17)
10–15 µg 0.86 (0.77 to 0.97) 0.91 (0.84 to 0.99) 0.98 (0.87 to 1.09)
>15 µg 0.88 (0.79 to 0.99) 0.94 (0.87 to 1.02) 1.05 (0.94 to 1.17)
P value for trend* 0.015 0.039 0.920
Mothers with overweight‡ n=20 080
<5 µg (ref)
5–9.9 µg 1.07 (0.97 to 1.18) 1.09 (1.01 to 1.18) 1.12 (1.02 to 1.23)
10–15 µg 1.01 (0.89 to 1.14) 1.05 (0.95 to 1.16) 1.06 (0.94 to 1.20)
>15 µg 1.06 (0.93 to 1.20) 1.03 (0.93 to 1.14) 1.11 (0.98 to 1.26)
P value for trend* 0.513 0.443 0.156

Effect estimates derived by logistic regression, adjusted for maternal education, parity, maternal milk and yoghurt intake, maternal fibre intake and child’s gender. The model with all mothers was also adjusted for maternal prepregnancy BMI.

*P value for linear trend, obtained by regression with maternal vitamin D intake in categories as continuous variable.

†Mothers with prepregnancy BMI 18.5–24.9 kg/m2.

‡Mothers with prepregnancy BMI ≥25 kg/m2.

BMI, body mass index.

In the sensitivity analyses on childhood overweight using the reported weights and heights, the results for the children of mothers with normal weight, with vitamin D intake >15 µg/day persisted (OR=0.87, 95% CI 0.77 to 0.98) (online supplemental table 10). Also, for children of mothers with overweight, with total vitamin D intake of 5–9.9 µg/day, a significant odds ratio (OR 1.22, 95% CI 1.06 to 1.40) was obtained. After exclusion of the highest 90th percentile of maternal vitamin D intakes, similar results as in the main models were obtained, both in children of mothers with normal weight and with overweight. Adjusting for birth weight did not change the direction of the associations, neither in children of mothers with normal weight, nor in children of mothers with overweight.

Siblings with discordant total maternal vitamin D intake

When comparing weight and height growth trajectories of discordant siblings, the analyses showed similar estimates as the main models, but non-significant differences (online supplemental tables 5 and 6). The growth trajectories did not differ between siblings with discordant maternal vitamin D intake. When comparing the risk of childhood overweight at 3 years, 5 years and 8 years in discordant siblings, the same effect estimates as for the main models were obtained, however, not significant (online supplemental table 7).

Discussion

In this longitudinal study of the associations between maternal vitamin D intake and child growth, we identified prepregnancy BMI as a major modifying factor. Among mothers with normal prepregnancy BMI, a maternal vitamin D intake ≥10 µg/day was associated with lower weight and height growth trajectories starting in infancy and persisting in toddlerhood. Higher maternal vitamin D intake was also associated with lower odds of a rapid weight gain during the first year of life and of child overweight in preschool years. The results indicated associations in opposing directions in children of mothers with prepregnancy overweight. The discordant sibling analysis revealed similar but weaker associations, possibly due to small sample size and supports the hypothesis. Our findings suggest that in children of normal weight mothers, vitamin D intake during pregnancy has a protective effect against rapid growth and overweight, perhaps due to a more favourable weight growth trajectory in infancy.

The main strengths of this study are the longitudinal design and the large, nationwide33 study sample. The FFQ, used to capture the dietary vitamin D intake, was customised for assessing diet in the first half of pregnancy. Validation studies on the FFQ concluded the questionnaire to provide adequate estimates of vitamin D intakes from foods and supplements.39 40 Another strength was the use of a growth curve model, which is an approach to compensate for the lost to follow-up, by predicting weights and heights for all children. The similar estimates found in the sensitivity analyses of the reported weights and heights of the children bring some validity in the predicted anthropometrics of growth trajectories and childhood overweight. In addition, the drawing of a directed acyclic graph reduced the risk of confounding bias, since the models were adjusted for relevant covariates. Our study also has several weaknesses. First, maternal anthropometrics, child anthropometrics and food intake measures are self-reported and prone to misreport.39 52 53 Although the women were not aware of the outcome of interest, maternal weight status and other characteristic are likely to influence the accuracy of self-reported information. It is known that overweight and obese women misreport their bodyweight and food intake to a larger degree than normal weight women, pertaining also to pregnant women.52 Although self-reported weight and height encompass inaccuracy, self-report is a cost-effective alternative in large cohorts and the inaccuracy is not likely to largely bias the results.54 It is also possible that the association we found could be explained by another food, nutrient or behaviour related to the maternal vitamin D intake that was not taken into account, or residual confounding.

The protective effect of maternal vitamin D in pregnancy on the risk of overweight in children from mothers with prepregnancy normal weight is consistent with previous findings from a Dutch23 and a Spanish study.26 However, previous studies investigating the association between maternal vitamin D status and childhood growth or overweight, have explored the association by adjusting for prepregnancy BMI. To simply adjust for prepregnancy BMI could potentially fail to capture the variation in maternal body size and thereby the magnitude of the distribution and dilution of vitamin D in the body.5 This may explain the somewhat opposing results found in previous studies on the association on maternal vitamin D status and child’s growth, anthropometrics and risk of overweight.23 24 26–30

Several possible pathways behind the association between maternal vitamin D intake, growth and risk of overweight in childhood have been suggested. Some studies have for example found associations between vitamin D deficiency and increased maternal insulin resistance in pregnancy and gestational diabetes mellitus.55–57 It is suggested that if the fetus is exposed to hyperglycaemic in utero, the fetal insulin production may be altered and the risk of type 2 diabetes later in life increased.58 Also, children born by mothers affected by gestational diabetes mellitus are more likely to be overweight.59 If low vitamin D intake in pregnancy increases maternal insulin resistance, this may be one mechanism programming the fetus towards increased susceptibility of metabolic diseases including overweight in childhood.

Our results underscore the importance of adequate vitamin D intake for the pregnant woman on growth in childhood. Moreover, our results highlight the significant contribution of supplements to reach the recommended vitamin D intake in a population with relatively low intake from foods. These findings suggest that maternal vitamin D intake is a potential modifiable factor for prevention of rapid postnatal growth in children of normal weight mothers. Since there is a lack of previous studies investigating the association between maternal vitamin D intake and childhood growth and overweight, further studies will need to replicate our results before the relevance can be fully determined.

Conclusion

Our findings supports that vitamin D intake during pregnancy affects offspring postnatal growth, and that a higher vitamin D intake during the pregnancy has a protective effect against the risk of childhood overweight but only in children of mothers with normal prepregnancy weight. In pregnancy, achieving the recommended vitamin D intake may reduce the risks of overweight in children of mothers with normal weight.

Supplementary Material

Reviewer comments
Author's manuscript

Acknowledgments

The Norwegian Mother, Father and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research. The authors thank the MoBa cohort funders and all the participating families in Norway for their valuable contribution.

Footnotes

Contributors: HA initiated the study, all authors contributed with planning the study, ALB is responsible for data protection and access, AA conducted the statistical analyses and wrote the first version of the manuscript, EP assisted with the statistical analyses. All authors (HA, AA, EP, ALB, LL, AW and HMM) were involved in interpretation of the results and writing of the final manuscript.

Funding: The current study was funded by the Swedish Research Council for Health, Working Life and Welfare (grant number 2018-00441) and the Sahlgrenska Academy (U2018/162). EP was funded by the Research Council of Norway, under the MILJØFORSK programme (project number 268465).

Competing interests: None declared.

Provenance and peer review: Not commissioned; externally peer reviewed.

Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

Data availability statement

Data may be obtained from a third party and are not publicly available. No additional data are available. All data from the MoBa study are available to all qualified researchers/research groups in Norway and to international researchers who are collaborating with a Norwegian researcher.

Ethics statements

Patient consent for publication

Consent obtained directly from patient(s)

Ethics approval

The Regional Committees for Medical and Health Research Ethics. 2019/770 REK Nord.

References

  • 1.Theodoratou E, Tzoulaki I, Zgaga L, et al. Vitamin D and multiple health outcomes: umbrella review of systematic reviews and meta-analyses of observational studies and randomised trials. BMJ 2014;348:g2035. 10.1136/bmj.g2035 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hossein-nezhad A, Holick MF. Optimize dietary intake of vitamin D: an epigenetic perspective. Curr Opin Clin Nutr Metab Care 2012;15:567–79. 10.1097/MCO.0b013e3283594978 [DOI] [PubMed] [Google Scholar]
  • 3.O'Neill CM, Kazantzidis A, Ryan MJ, et al. Seasonal changes in vitamin D-Effective UVB availability in Europe and associations with population serum 25-hydroxyvitamin D. Nutrients 2016;8:533. 10.3390/nu8090533 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Hossein-nezhad A, Holick MF. Vitamin D for health: a global perspective. Mayo Clin Proc 2013;88:720–55. 10.1016/j.mayocp.2013.05.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Walsh JS, Bowles S, Evans AL. Vitamin D in obesity. Curr Opin Endocrinol Diabetes Obes 2017;24:389–94. 10.1097/MED.0000000000000371 [DOI] [PubMed] [Google Scholar]
  • 6.Saraf R, Morton SMB, Camargo CA, et al. Global summary of maternal and newborn vitamin D status - a systematic review. Matern Child Nutr 2016;12:647–68. 10.1111/mcn.12210 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Eggemoen Åse R, Jenum AK, Mdala I, et al. Vitamin D levels during pregnancy and associations with birth weight and body composition of the newborn: a longitudinal multiethnic population-based study. Br J Nutr 2017;117:985–93. 10.1017/S000711451700068X [DOI] [PubMed] [Google Scholar]
  • 8.Bärebring L, Schoenmakers I, Glantz A, et al. Vitamin D status during pregnancy in a multi-ethnic Population-Representative Swedish cohort. Nutrients 2016;8:655. 10.3390/nu8100655 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Itkonen ST, Andersen R, Björk AK, et al. Vitamin D status and current policies to achieve adequate vitamin D intake in the Nordic countries. Scand J Public Health 2020:1403494819896878. 10.1177/1403494819896878 [DOI] [PubMed] [Google Scholar]
  • 10.Gluckman PD, Hanson MA, Buklijas T. A conceptual framework for the developmental origins of health and disease. J Dev Orig Health Dis 2010;1:6–18. 10.1017/S2040174409990171 [DOI] [PubMed] [Google Scholar]
  • 11.Kwon EJ, Kim YJ. What is fetal programming?: a lifetime health is under the control of in utero health. Obstet Gynecol Sci 2017;60:506–19. 10.5468/ogs.2017.60.6.506 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Robinson SM, Crozier SR, Harvey NC, et al. Modifiable early-life risk factors for childhood adiposity and overweight: an analysis of their combined impact and potential for prevention. Am J Clin Nutr 2015;101:368–75. 10.3945/ajcn.114.094268 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ong KK, Loos RJF. Rapid infancy weight gain and subsequent obesity: systematic reviews and hopeful suggestions. Acta Paediatr 2006;95:904–8. 10.1080/08035250600719754 [DOI] [PubMed] [Google Scholar]
  • 14.Woo Baidal JA, Locks LM, Cheng ER, et al. Risk factors for childhood obesity in the first 1,000 days: a systematic review. Am J Prev Med 2016;50:761–79. 10.1016/j.amepre.2015.11.012 [DOI] [PubMed] [Google Scholar]
  • 15.Karaolis-Danckert N, Buyken AE, Bolzenius K, et al. Rapid growth among term children whose birth weight was appropriate for gestational age has a longer lasting effect on body fat percentage than on body mass index. Am J Clin Nutr 2006;84:1449–55. 10.1093/ajcn/84.6.1449 [DOI] [PubMed] [Google Scholar]
  • 16.WHO . Commission on ending childhood obesity. Report of the Commission on ending childhood obesity, 2016. [Google Scholar]
  • 17.UNICEF, WHO, World Bank . Global and regional trends by UN Regions, 1990-2030. Overweight: 1990-2018, 2015. [Google Scholar]
  • 18.Shin JS, Choi MY, Longtine MS, et al. Vitamin D effects on pregnancy and the placenta. Placenta 2010;31:1027–34. 10.1016/j.placenta.2010.08.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.von Websky K, Hasan AA, Reichetzeder C, et al. Impact of vitamin D on pregnancy-related disorders and on offspring outcome. J Steroid Biochem Mol Biol 2018;180:51–64. 10.1016/j.jsbmb.2017.11.008 [DOI] [PubMed] [Google Scholar]
  • 20.Holick MF, Chen TC. Vitamin D deficiency: a worldwide problem with health consequences. Am J Clin Nutr 2008;87:1080S–6. 10.1093/ajcn/87.4.1080S [DOI] [PubMed] [Google Scholar]
  • 21.Tao R-X, Meng D-H, Li J-J, et al. Current recommended vitamin D prenatal supplementation and fetal growth: results from the China-Anhui birth cohort study. J Clin Endocrinol Metab 2018;103:244–52. 10.1210/jc.2017-00850 [DOI] [PubMed] [Google Scholar]
  • 22.Aghajafari F, Nagulesapillai T, Ronksley PE, et al. Association between maternal serum 25-hydroxyvitamin D level and pregnancy and neonatal outcomes: systematic review and meta-analysis of observational studies. BMJ 2013;346:f1169. 10.1136/bmj.f1169 [DOI] [PubMed] [Google Scholar]
  • 23.Leffelaar ER, Vrijkotte TGM, van Eijsden M. Maternal early pregnancy vitamin D status in relation to fetal and neonatal growth: results of the multi-ethnic Amsterdam born children and their development cohort. Br J Nutr 2010;104:108–17. 10.1017/S000711451000022X [DOI] [PubMed] [Google Scholar]
  • 24.Crozier SR, Harvey NC, Inskip HM, et al. Maternal vitamin D status in pregnancy is associated with adiposity in the offspring: findings from the Southampton women's survey. Am J Clin Nutr 2012;96:57–63. 10.3945/ajcn.112.037473 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Krishnaveni GV, Veena SR, Winder NR, et al. Maternal vitamin D status during pregnancy and body composition and cardiovascular risk markers in Indian children: the Mysore Parthenon study. Am J Clin Nutr 2011;93:628–35. 10.3945/ajcn.110.003921 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Morales E, Rodriguez A, Valvi D, et al. Deficit of vitamin D in pregnancy and growth and overweight in the offspring. Int J Obes 2015;39:61–8. 10.1038/ijo.2014.165 [DOI] [PubMed] [Google Scholar]
  • 27.Daraki V, Roumeliotaki T, Chalkiadaki G, et al. Low maternal vitamin D status in pregnancy increases the risk of childhood obesity. Pediatr Obes 2018;13:467–75. 10.1111/ijpo.12267 [DOI] [PubMed] [Google Scholar]
  • 28.Eckhardt CL, Gernand AD, Roth DE, et al. Maternal vitamin D status and infant anthropometry in a US multi-centre cohort study. Ann Hum Biol 2015;42:217–24. 10.3109/03014460.2014.954616 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ong YL, Quah PL, Tint MT, et al. The association of maternal vitamin D status with infant birth outcomes, postnatal growth and adiposity in the first 2 years of life in a multi-ethnic Asian population: the growing up in Singapore towards healthy outcomes (GUSTO) cohort study. Br J Nutr 2016;116:621–31. 10.1017/S0007114516000623 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Gale CR, Robinson SM, Harvey NC, et al. Maternal vitamin D status during pregnancy and child outcomes. Eur J Clin Nutr 2008;62:68–77. 10.1038/sj.ejcn.1602680 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Horan MK, McGowan CA, Gibney ER, et al. The association between maternal dietary micronutrient intake and neonatal anthropometry - secondary analysis from the ROLO study. Nutr J 2015;14:105. 10.1186/s12937-015-0095-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Scholl TO, Chen X. Vitamin D intake during pregnancy: association with maternal characteristics and infant birth weight. Early Hum Dev 2009;85:231–4. 10.1016/j.earlhumdev.2008.10.006 [DOI] [PubMed] [Google Scholar]
  • 33.Magnus P, Birke C, Vejrup K, et al. Cohort profile update: the Norwegian mother and child cohortohort study (MobA). Int J Epidemiol 2016;45:382–8. 10.1093/ije/dyw029 [DOI] [PubMed] [Google Scholar]
  • 34.Magnus P, Irgens LM, Haug K, et al. Cohort profile: the Norwegian mother and child cohort study (MobA). Int J Epidemiol 2006;35:1146–50. 10.1093/ije/dyl170 [DOI] [PubMed] [Google Scholar]
  • 35.Questionnaires from MobA. Available: https://www.fhi.no/en/studies/moba/for-forskere-artikler/questionnaires-from-moba/ [Accessed 04 Aug 2021].
  • 36.Irgens LM. The medical birth registry of Norway. epidemiological research and surveillance throughout 30 years. Acta Obstet Gynecol Scand 2000;79:435–9. [PubMed] [Google Scholar]
  • 37.Meltzer HM, Brantsaeter AL, Ydersbond TA, et al. Methodological challenges when monitoring the diet of pregnant women in a large study: experiences from the Norwegian mother and child cohort study (MobA). Matern Child Nutr 2008;4:14–27. 10.1111/j.1740-8709.2007.00104.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.What is the Norwegian mother, father and child cohort study? Available: https://www.fhi.no/en/studies/moba/what-is-the-norwegian-mother-and-child-cohort-study/ [Accessed 18 Aug 2021].
  • 39.Brantsaeter AL, Haugen M, Alexander J, et al. Validity of a new food frequency questionnaire for pregnant women in the Norwegian mother and child cohort study (MobA). Matern Child Nutr 2008;4:28–43. 10.1111/j.1740-8709.2007.00103.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Brantsaeter AL, Haugen M, Hagve T-A, et al. Self-reported dietary supplement use is confirmed by biological markers in the Norwegian mother and child cohort study (MobA). Ann Nutr Metab 2007;51:146–54. 10.1159/000103275 [DOI] [PubMed] [Google Scholar]
  • 41.Nordic Council of Ministers, N.C.o.M.S . Nordic nutrition recommendations 2012: integrating nutrition and physical activity, 2014. [Google Scholar]
  • 42.Jenss RM BN. A mathematical method for studying the growth of a child. Human Biology 1937;9:556–63. [Google Scholar]
  • 43.Chirwa ED, Griffiths PL, Maleta K, et al. Multi-Level modelling of longitudinal child growth data from the Birth-to-Twenty cohort: a comparison of growth models. Ann Hum Biol 2014;41:168–79. 10.3109/03014460.2013.839742 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Keijzer-Veen MG, Euser AM, van Montfoort N, et al. A regression model with unexplained residuals was preferred in the analysis of the fetal origins of adult diseases hypothesis. J Clin Epidemiol 2005;58:1320–4. 10.1016/j.jclinepi.2005.04.004 [DOI] [PubMed] [Google Scholar]
  • 45.Cole TJ, Lobstein T. Extended International (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes 2012;7:284–94. 10.1111/j.2047-6310.2012.00064.x [DOI] [PubMed] [Google Scholar]
  • 46.Patro Golab B, Santos S, Voerman E, et al. Influence of maternal obesity on the association between common pregnancy complications and risk of childhood obesity: an individual participant data meta-analysis. Lancet Child Adolesc Health 2018;2:812–21. 10.1016/S2352-4642(18)30273-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Drincic AT, Armas LAG, Van Diest EE, et al. Volumetric dilution, rather than sequestration best explains the low vitamin D status of obesity. Obesity 2012;20:1444–8. 10.1038/oby.2011.404 [DOI] [PubMed] [Google Scholar]
  • 48.Rito AI, Buoncristiano M, Spinelli A, et al. Association between Characteristics at Birth, Breastfeeding and Obesity in 22 Countries: The WHO European Childhood Obesity Surveillance Initiative - COSI 2015/2017. Obes Facts 2019;12:226–43. 10.1159/000500425 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.WHO . Obesity: preventing and managing the global epidemic. Report of a who consultation on obesity 2000:1–253. [PubMed]
  • 50.Petersen AH, Lange T. What is the causal interpretation of sibling comparison designs? Epidemiology 2020;31:75–81. 10.1097/EDE.0000000000001108 [DOI] [PubMed] [Google Scholar]
  • 51.Susser E, Eide MG, Begg M. Invited commentary: the use of sibship studies to detect familial confounding. Am J Epidemiol 2010;172:537–9. 10.1093/aje/kwq196 [DOI] [PubMed] [Google Scholar]
  • 52.Engstrom JL, Paterson SA, Doherty A, et al. Accuracy of self-reported height and weight in women: an integrative review of the literature. J Midwifery Womens Health 2003;48:338–45. 10.1016/S1526-9523(03)00281-2 [DOI] [PubMed] [Google Scholar]
  • 53.Olafsdottir AS, Thorsdottir I, Gunnarsdottir I, et al. Comparison of women's diet assessed by FFQs and 24-hour recalls with and without underreporters: associations with biomarkers. Ann Nutr Metab 2006;50:450–60. 10.1159/000094781 [DOI] [PubMed] [Google Scholar]
  • 54.Headen I, Cohen AK, Mujahid M, et al. The accuracy of self-reported pregnancy-related weight: a systematic review. Obes Rev 2017;18:350–69. 10.1111/obr.12486 [DOI] [PubMed] [Google Scholar]
  • 55.Chen X, Chu C, Doebis C, et al. Sex-Dependent association of vitamin D with insulin resistance in humans. J Clin Endocrinol Metab 2021;106:e3739–47. 10.1210/clinem/dgab213 [DOI] [PubMed] [Google Scholar]
  • 56.Zaki M, Kamal S, Basha WA, et al. Association of vitamin D receptor gene polymorphism (VDR) with vitamin D deficiency, metabolic and inflammatory markers in Egyptian obese women. Genes Dis 2017;4:176–82. 10.1016/j.gendis.2017.07.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Senti J, Thiele DK, Anderson CM. Maternal vitamin D status as a critical determinant in gestational diabetes. J Obstet Gynecol Neonatal Nurs 2012;41:328–38. 10.1111/j.1552-6909.2012.01366.x [DOI] [PubMed] [Google Scholar]
  • 58.Tian M, Reichetzeder C, Li J, et al. Low birth weight, a risk factor for diseases in later life, is a surrogate of insulin resistance at birth. J Hypertens 2019;37:2123–34. 10.1097/HJH.0000000000002156 [DOI] [PubMed] [Google Scholar]
  • 59.Gillman MW, Rifas-Shiman S, Berkey CS, et al. Maternal gestational diabetes, birth weight, and adolescent obesity. Pediatrics 2003;111:e221–6. 10.1542/peds.111.3.e221 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data

bmjopen-2021-048980supp001.pdf (270.4KB, pdf)

Reviewer comments
Author's manuscript

Data Availability Statement

Data may be obtained from a third party and are not publicly available. No additional data are available. All data from the MoBa study are available to all qualified researchers/research groups in Norway and to international researchers who are collaborating with a Norwegian researcher.


Articles from BMJ Open are provided here courtesy of BMJ Publishing Group

RESOURCES