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Calcium, zinc, and vitamin D in breast milk: a systematic review and meta-analysis

Abstract

Background

Global estimates of calcium, zinc and vitamin D content in breastmilk are lacking. The objective of this systematic review was to determine the calcium, zinc, and vitamin D content in breast milk.

Methods

A systematic search of the online databases Embase, MEDLINE, and CENTRAL was conducted in November 2022 and complemented by searches of the African Journals Online database and the LILACS database, and reference lists. Studies reporting the calcium, zinc and vitamin D content in breast milk of apparently healthy mothers and infants were included. Random effects meta-analyses were conducted. The effect of influencing factors were investigated with sub-group analyses and meta-regressions.

Results

A total of 154 studies reporting on breast milk calcium were identified, with a mean calcium concentration in breast milk of 261 mg/L (95% CI: 238, 284). Calcium concentration was influenced by maternal health and decreased linearly over the duration of lactation. Calcium concentration at a specific time during lactation could be estimated with the equation: calcium concentration [mg/L] = 282 – 0.2331 ✕ number of days since birth. A total of 242 studies reporting on breast milk zinc were identified, with a mean zinc concentration of 2.57 mg/L (95% CI: 2.50, 2.65). Zinc concentration was influenced by several factors, such as maternal age, gestational age, and maternal diet. Zinc concentration started high in the first weeks post-partum followed by a rapid decrease over the first months. Zinc concentration at a specific time during lactation could be estimated with the equation: zinc concentration [mg/L] = 6 + 0.0005 ✕ days – 2.0266 ✕ log(days). A total of 43 studies reporting on breast milk vitamin D were identified, with a mean total antirachitic activity of breast milk of 58 IU/L (95% CI: 45, 70), which consisted mostly of 25OHD3, and smaller amounts of vitamin D3, 25OHD2 and vitamin D2. Vitamin D concentration showed wide variations between studies and was influenced by vitamin D supplementation, continent and season.

Conclusions

This review provides global estimates of calcium, zinc and vitamin D content in breast milk, as well as indications on changes over time and depending on influencing factors.

Background

Breast milk is a major component of the diet and an important source of nutrient intake in infants and young children [1, 2]. Exclusive breastfeeding up to 6 months of age is recommended, followed by continued breastfeeding up to two years or beyond [1, 2]. Breast milk from healthy well-nourished women is expected to provide adequate amounts and concentrations of the majority of nutrients for optimal growth of infants [1]. Based on this assumption, breast milk content in most nutrients can be used to estimate requirements in infants up to 6 months of age and children up to 3 years of age.

Calcium, zinc and vitamin D are essential nutrients during infancy and early childhood for growth and health [3,4,5]. Breast milk is a source of calcium and zinc and, in small amounts, of vitamin D for infants and young children. A multi-national study from the World Health Organization (WHO) provided estimates of calcium and zinc in breastmilk in 1989 [6]. Since then, many new studies have evaluated breast milk content in calcium and zinc as well as vitamin D. Updated reference values on calcium, zinc and vitamin D content in breast milk are needed.

This review was commissioned by the Food and Agriculture Organization (FAO) and WHO, to inform their work on updating nutrient requirements and safe upper levels of intake for calcium, zinc and vitamin D in infants and young children, originally established in 2004. The primary objective of this systematic review was to determine the calcium, zinc, and vitamin D content of breast milk. The secondary objective was to investigate the factors influencing the calcium, zinc, and vitamin D levels in breast milk.

Methods

The preparation of the review protocol followed Preferred Reporting Items for Systematic reviews and Meta-Analyses Protocols (PRISMA-P) guidelines and is available upon request [7, 8]. The writing of this report followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines [9].

Eligibility criteria

Studies conducted in apparently healthy lactating women and their offspring 0–35.9 months of age, free from any clinical signs or symptoms of undernutrition or illness that might impact milk composition and assessing the breast milk concentrations of calcium, zinc, and vitamin D (including vitamin D2, vitamin D3, 25-hydoxy-vitamin D (25OHD), 25OHD2, and 25OHD3) were included. Studies in which the measurement method, sample size, unit or standard deviation could not be determined were excluded. Cross-sectional, longitudinal, interventional, and case-control studies were included, but case reports and case series were excluded. Conference abstracts, posters, commentaries, editorials and studies for which the full texts were unobtainable were excluded. Studies from all regions of the world, in all languages, and of any date of publication were included.

Search strategy

The online databases MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) were searched systematically up to 1 October 2020 originally and then again on 22 November 2022 (see full search strategy in Additional File 1). The African Journals Online database and the Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) database were searched to find additional studies from these regions. The reference lists of recent systematic reviews and included reports were screened manually to identify further potentially relevant studies.

Selection process

The identified records were imported into Covidence [8, 10] and duplicates were identified automatically. The records were screened for eligibility in duplicate by two researchers (except for the records identified in the update, which were screened by only one reviewer). Any disagreement was resolved by discussion between the two reviewers.

Data extraction

Information on the characteristics of the study, mother, child, and milk, as well as the measurement methods was extracted. If data were only available from figures, they were extracted with PlotDigitizer [11]. For trials, data were generally extracted from baseline and from the control group. If the intervention was relevant to sub-group analyses or if there were no significant effect of the intervention, data from baseline and endline and from the intervention and the control group were extracted. If several values for different milk processing steps were reported, the value for minimal processing was extracted. Data were extracted by one researcher and a subset was verified by another researcher.

Data analysis

Data transformations and imputations were done according to the Cochrane Handbook for Systematic Reviews of Interventions [12] and following the recommendations of Borenstein et al. [13]. If means and SD were not reported, they were imputed from 95% CI, p-values, t-values, medians, percentiles, interquartile ranges, or ranges [12]. If values for several groups were reported, they were merged together [12]. Calcium, zinc, and vitamin D were transformed into a common unit (i.e. mg/L and IU/L) using the following conversions: calcium 40.078 g/mol, zinc 68.38 g/mol, vitamin D2 396.6 g/mol, vitamin D3 384.6 g/mol, 25OHD2 412.6 g/mol, 25OHD3 400.64 g/mol, vitamin D2 and vitamin D3 25ng/IU, and 25OHD2 and 25OHD3 5 ng/IU. Whenever available, vitamin D2, D3, 25OHD2 and 25OHD3 in IU/L, were added together to calculate total vitamin D and 25OHD, and total antirachitic activity (ARA). When non-detectable levels of vitamin D in breast milk were reported, the midpoint between 0 and the detection limit was taken and the standard deviation was set so that the upper 95% confidence interval lay at the detection limit.

Random effects meta-analyses were conducted. Heterogeneity was evaluated with I2 and τ2. Outlying and influential studies were identified with Baujat plots. Sub-group analyses were conducted by lactation stage (colostrum 1–4 days postpartum, transitional milk 5–15 days and mature milk > 15 days), health status, maternal age, gestation duration, supplementation in the micronutrient of interest, nutrition status, breastfeeding practice, country income category, continent, and measurement method. In addition for vitamin D, sub-group analyses by season and for different supplementation levels were conducted. Meta-regressions were conducted for calcium and zinc over lactation duration. Different meta-regression models, linear and non-linear (i.e. quadratic, cubic, logarithmic, exponential and restricted cubic splines), were tested and the best fitting model was selected based on AIC. Moreover, possible changes in breast milk concentrations of calcium, zinc and ARA over the years were investigated with linear meta-regressions. Meta-regressions of 25OHD, 25OHD2, 25OHD2, vitamin D, vitamin D2, vitamin D3, and ARA by latitude were conducted. A sensitivity analysis was conducted restricting to high quality studies, or ‘key’ studies. The studies were considered of high quality or ‘key’ if they included only healthy mothers and healthy term infants and, if the infants were below 6 months of age, exclusively breastfed.

Statistical analyses were conducted with RAnalyticFlow (version 3.1.8) with the package meta.

Results

From 7,881 records identified, a total of 507 records, representing 154 studies on calcium, 242 on zinc, and 43 on vitamin D, were included (see Fig. 1).

Fig. 1
figure 1

Study selection flowchart

Calcium

A total of 154 studies with 22,307 participants reporting on calcium concentration of breast milk were included. The detailed characteristics of the studies included are shown in Additional File 2. Among those studies, 76 were cross-sectional studies, 62 were cohorts, 8 were trials and 8 were case-control studies. The studies were conducted in Asia (N = 47), North America (N = 37), Europe (N = 33), South America (N = 22), Africa (N = 19) and Australasia/Oceania (N = 6). The countries in which the studies were the most conducted were the United States (N = 29), China (N = 18), and Brazil (N = 15). Studies were published between 1965 and 2022, with 25% published before 1988 and 25% published after 2014. Most of the studies included healthy participants (N = 83), but many did not report the health status of their participants (N = 63). Eight studies included both healthy and unhealthy participants. The health conditions included were in the mother, anemia (N = 1), COVID-19 (N = 1), diabetes type 1 (N = 1), gestosis (N = 1), mastitis (N = 2), and in the infant, small-for-gestational-age (N = 1) and rickets (N = 1). Most of the studies did not report the nutritional status of the mothers included (N = 134), a few reported good nutritional status (N = 12), poor nutritional status (N = 3) or both (N = 5). The analytical methods the most used to determine calcium in breast milk were atomic absorption spectroscopy (AAS) (N = 54), inductively coupled plasma mass spectrometry (ICP-MS) (N = 27), inductively coupled plasma atomic emission spectroscopy (ICP-AES) (N = 25), and flame atomic absorption spectroscopy (FAAS) (N = 17). The preferred method to measure calcium in breast milk is ICP-MS [14].

The results of the meta-analyses are shown in Table 1. The mean calcium concentration of breast milk was 261 mg/L (95% CI: 238, 284, range: 2, 686). One outlier with a very low value was identified, possibly due to the analytical method used. When removing this outlier, the mean calcium concentration was 262 mg/L (95% CI: 243, 282, range: 14, 686). When restricting the analysis to ‘key’ studies (i.e. studies with healthy women, healthy term infants, exclusively breastfed up to 6 months old), the mean calcium concentration was 249 mg/L (95% CI: 232, 266).

Table 1 Meta-analyses for calcium concentration (mg/L)

Calcium concentration in breast milk changed with the infant’s age (see Table 1). The evolution of calcium concentration in breast milk over time is shown in Fig. 2. Calcium concentration was almost constant over time, with a very slow decrease. The evolution of calcium concentration over time was best modeled with a linear model. When including all studies across all ages, the calcium concentration [mg/L] at a certain timepoint could be estimated with the equation: 282.4357 – 0.2331 ✕ days. When restricting to ‘key’ studies, calcium concentration could be estimated with the equation: 276.7831 – 0.2169 ✕ days. When restricting to studies among 0-5.9 month-olds, the model was 285.5756 – 0.2554 ✕ days and, when restricting to ‘key’ studies and among 0-5.9 month-olds, 333.8875 – 0.7367 ✕ days.

Fig. 2
figure 2

Calcium concentration (mg/L) over time, trendline (blue) fitted with local polynomial regression

There were no significant differences in calcium concentration between lactation stages, adolescent and adult mothers, preterm and term infants, exclusive and mixed breastfeeding, with or without calcium supplementation, between nutritional statuses, country income categories, continents, and measurement methods (see Table 1). However, women with conditions tended to have lower calcium breast milk concentrations than healthy women (women with conditions 203 mg/L, 95% CI: 171, 234, healthy women 257 mg/L, 95% CI: 232, 281, p = 0.008). Calcium concentration in breast milk did not differ significantly over the years of publication (p = 0.961).

The effect of maternal calcium intake on breast milk concentrations was further investigated. Two randomized controlled trials [15, 16] investigated the effect of calcium supplementation on calcium concentration in milk. When meta-analyzed, no significant differences were found between groups of calcium supplementation (mean difference (MD): 4.8 mg/L, 95% CI: -4.4, 14.1). One cohort study [17] compared women with different calcium intake levels and found no differences in calcium concentration in transitional milk, but a higher calcium concentration in women with higher calcium intakes in mature milk (p < 0.05). A cross-sectional study [18] found no differences between calcium intake groups and calcium concentration in mature breast milk.

Zinc

A total of 242 studies with 37,614 participants reporting on zinc concentration of breast milk were included. The detailed characteristics of the studies included are shown in Additional File 3. Among those studies, 125 were cross-sectional studies, 92 were cohorts, 17 were trials and 8 were case-control studies. The studies were conducted in Asia (N = 84), Europe (N = 54), North America (N = 46), South America (N = 32), Africa (N = 32) and Australasia/Oceania (N = 5). The countries in which the studies were the most conducted were the United States (N = 37), Brazil (N = 24), and China (N = 22). Studies were published between 1971 and 2022, with 25% published before 1990 and 25% published after 2013. Most of the studies included healthy participants (N = 131), but many did not report the health status of their participants (N = 103). Eight studies included both healthy and unhealthy participants. The health conditions included were in the mother, acute febrile infection (N = 1), anemia (N = 1), diabetes type 1 (N = 1), HIV (N = 2), mastitis (N = 2), and in the infant, jaundice or intra-uterine growth restriction (N = 1). Most of the studies did not report the nutritional status of the mothers included (N = 206), a few reported good nutritional status (N = 24), poor nutritional status (N = 6) or both (N = 6). The analytical methods the most used to determine zinc in breast milk were AAS (N = 92), ICP-MS (N = 52), FAAS (N = 51), and ICP-AES (N = 35). The preferred methods to measure zinc in breast milk are AAS, ICP-AES, and ICP-MS [14, 19].

The results of the meta-analyses are shown in Table 2. The mean zinc concentration of breast milk was 2.57 mg/L (95% CI: 2.50, 2.65, range: 0.03–69.07). Three outliers and influential studies were identified, possibly due to errors in reported units. When removing them, the mean zinc concentration was not significantly different, with 2.58 mg/L (95% CI: 2.49, 2.67, range: 0.05–12.9). When restricting the analysis to ‘key’ studies (i.e. studies with healthy women, healthy term infants, exclusively breastfed up to 6 months old), the mean zinc concentration was 2.26 mg/L (95% CI: 2.00, 2.51).

Table 2 Meta-analyses for zinc concentration (mg/L)

There were significant differences between lactation stages (see Table 2). The evolution of zinc concentration in breast milk over time is shown in Fig. 3. Zinc concentration starts high and then decreases rapidly until reaching a plateau. The evolution of zinc concentration over time was best modeled with a logarithmic model. When including all studies across all ages, the zinc concentration [mg/L] at a certain timepoint could be estimated with the equation: 5.9514 + 0.0005 ✕ days – 2.0266 ✕ log(days). When restricting to ‘key’ studies across all ages, the fitted model was 8.4457 + 0.0031 ✕ days – 3.4048 ✕ log(days). When restricting to studies conducted among 0-5.9 month-olds, the model was 5.7859 – 0.0001 ✕ days – 1.9218 ✕ log(days) and, when restricting to ‘key’ studies and among 0-5.9 month-olds, 9.1174 – 0.0036 ✕ days – 3.8383 ✕ log(days).

Fig. 3
figure 3

Zinc concentration (mg/L) over time, trendline (blue) fitted with local polynomial regression

There were no significant differences between healthy and unhealthy populations, between mothers of preterm and term infants, and between mothers with good or poor nutritional status. However, there were significant differences between maternal age groups, breastfeeding practices, maternal zinc supplementation, country income categories, continents, and measurement methods. Given the influence of time since birth on zinc concentration, many of the sub-group differences could have been confounded by differences in time since birth. Therefore meta-regressions were conducted with the sub-groups, controlling for the numbers of days since birth. When including time since birth as a covariate, the differences between measurement methods and continents became non-significant. However, the differences between maternal age groups, gestation, breastfeeding practices, nutrition, and country income categories remained: The zinc concentrations were higher in adult mothers, in mothers of preterm infants, in mothers exclusively breastfeeding, in mothers with good nutrition, and in mothers living in upper-middle and high income countries. Zinc concentration in breast milk, controlling for age, did not differ significantly over the years of the publication (p = 0.594).

The effect of maternal zinc intake on breast milk concentrations was further investigated. Nine trials looked at the effect of zinc supplementation on zinc concentration in breast milk. When meta-analyzed, no significant differences were found between levels of zinc supplementation (MD: 0.11, 95% CI: -0.18, 0.40). One cohort study [20] compared women with different zinc intake levels and found no differences in zinc concentration in transitional milk, but a higher concentration in women with higher intakes in mature milk (p < 0.05).

The effect of genetic variations was investigated in two studies [21, 22]. These studies found that variants of the zinc ZnT2 (SLC30A2) were common and could be associated with low zinc concentrations in breast milk.

Vitamin D

A total of 43 studies with 3,726 participants reporting on vitamin D concentration of breast milk were included. The detailed characteristics of the studies included are shown in Additional File 4. Among those studies, 19 were cross-sectional studies, 8 were cohorts, 12 were trials and 4 were case-control studies. The studies were conducted in Asia (N = 21), North America (N = 13), Europe (N = 12), Africa (N = 2), and Australasia/Oceania (N = 2). No studies were identified in South America. The countries in which the studies were the most conducted were the United States (N = 11) and Japan (N = 6). Studies were published between 1981 and 2021, with 25% published before 1989 and 25% published after 2017. Most of the studies included healthy participants (N = 24), but many did not report the health status of their participants (N = 15). Four studies included both healthy and unhealthy participants. The health conditions included were in the mother, COVID-19 (N = 1), HIV (N = 1), or long-term hospitalization (N = 1), and in the infant, atopic dermatitis (N = 1). Most of the studies did not report the nutritional status of the mothers included (N = 38), a few reported good nutritional status (N = 4), or both good and poor nutritional status (N = 1). The analytical methods the most used to determine vitamin D concentrations were liquid chromatography with tandem mass spectrometry (LC-MS/MS) (N = 13), high performance liquid chromatography (HPLC) and competitive protein-binding assay (CPBA) (N = 14), HPLC (N = 4), ultra-violet HPLC (UV-HPLC) (N = 3), and radioimmunoassay (RIA) (N = 2). The preferred methods to measured vitamin D in breast milk are HPLC and CPBA or LC- MS/MS [14, 19]. Sixteen studies reported the use of external standards for validation (2 studies participated in a vitamin D standardization program) and 25 studies did not report the use of any external standard.

The concentrations of the different vitamin D forms are shown in Table 3. The mean total ARA of breast milk was 58 IU/L (95% CI: 45, 70). The different forms of vitamin D contributed to total ARA in the following decreasing order: 25OHD3, vitamin D3, 25OHD2 and vitamin D2. Fifteen studies reported undetectable levels of vitamin D in all [23,24,25] or some of the breast milk samples [26,27,28,29,30,31,32,33,34,35,36,37]. Several studies had extremely low or high values, however none of the studies were found to be both highly outlying and influential.

Table 3 Concentration of different forms of vitamin D (IU/L)

The results of the sub-group meta-analyses for vitamin D, 25OHD and total ARA are shown in Table 4. There were significant differences between infant age groups, country income categories and continents. However there were very few studies in certain sub-groups, making it difficult to interpret. Vitamin D levels were higher in women receiving supplementation than those not (total ARA: 91 IU/L, 95% CI: 73, 109 vs. 48 IU/L, 95% CI: 34, 63). Levels tended to be higher in summer than in other seasons (total ARA summer: 117 IU/L, 95% CI: 108, 126, fall: 63 IU/L, 95% CI: 52, 73, winter: 66 IU/L, 95% CI: 45, 87, spring: 58 IU/L, 95% CI: 50, 66). There were no significant differences between measurement methods. The meta-regressions found a significant association between latitude and 25OHD2, 25OHD3, vitamin D2, and vitamin D3 concentrations, but not for 25OHD, vitamin D, and ARA. Total ARA of milk did not appear to change over the years (p = 0.750).

Table 4 Meta-analyses for vitamin D concentration (IU/L)

Not enough studies reported information on sun exposure and skin pigmentation to be able to conduct these sub-group meta-analyses. One trial [38] found that UVB irradiation could increase vitamin D breast milk concentration. A cross-sectional study [39] found higher vitamin D3, D2 and 25OHD3 in White women than in Black women (p = 0.002, 0.001, and 0.03 respectively), but no differences in 25OHD2 levels (p = 0.21).

An analysis of the studies who specifically looked into the relationship between vitamin D supplementation and vitamin D concentration in breast milk was conducted. A total of 10 trials [26, 27, 31, 32, 35, 37, 40,41,42,43] investigated the effect of vitamin D supplementation on breast milk concentration. All studies, except one [40], concluded that vitamin D supplementation could significantly increase vitamin D concentration in breast milk. When meta-analyzed, a significant increase was found in breast milk of mothers receiving vitamin D supplementation in vitamin D3 (MD: 28 IU/L, 95% CI: 6, 50), and ARA (MD: 53, 95% CI: 28, 77), but not vitamin D (MD: 4, 95% CI: -1, 9) or 25OHD (MD: 9, 95% CI: -14, 32). One cohort study [36] found that mothers taking vitamin D supplements had higher vitamin D breast milk concentrations.

Discussion

Summary of results

This systematic review included a large number of studies from all continents. The mean calcium concentration in breast milk was 261 mg/L. Calcium concentration was stable over time, decreasing only very slowly, and was stable across most maternal and child characteristics. The mean zinc concentration in breast milk was 2.57 mg/L. Zinc concentration was high in the first weeks post-partum followed by a rapid decrease over the first months and then relatively stable. Several additional factors, such as maternal age, gestational age, and maternal nutrition, influenced zinc concentration in breast milk. The mean total ARA of breast milk was 58 IU/L and consisted of mostly 25OHD3. The large variation between vitamin D estimates could be partly explained by differences in measurement methods, supplementation, countries and seasons.

Interpretation

Calcium

The calcium concentrations found in our review are similar to the ones found in other less recent and less extensive reviews [44,45,46,47,48]. The slow and small decrease of calcium over time was also found in another review [49]. The lack of differences between term and preterm infants [46] and the lack of effect of several maternal conditions [50] were also found in other reviews. A review found that adolescent mothers and specific conditions such as familial hypophosphatemia and hyperparathyroidism could affect calcium concentrations, but no other environmental or constitutional parameter [48].

Zinc

The zinc concentration found in our review is similar to ones found in other less recent and less extensive reviews [44, 45, 47, 51, 52]. The rapid decline of zinc concentration during the first days post-partum was also found in other reviews [49, 52, 53]. The lack of effect of several maternal health conditions was also found in another review [50]. One review [51] found lower values for preterm than for term infants, which is the opposite to what was found in our review. The higher concentrations of zinc in preterm milk found in our review could be hypothesized to be an adaptation of the breast milk contents to better fit the needs of preterm infants, which need higher concentrations of zinc in smaller quantities of breast milk.

Vitamin D

Very few reviews on vitamin D concentration in breast milk were identified. One large systematic review found only 1–2 studies for vitamin D [14] and another systematic review looking at preterm milk did not identify any studies [54]. The large variations in vitamin D concentration found in our review could be partly explained by supplementation and season. Several factors (e.g. dietary intake of vitamin D, sun exposure, skin pigmentation) which could have strongly influenced levels and confounded sub-group differences were not reported in sufficient studies to allow meaningful analyses. The large variations could also have been due to the lack standardization of the methods used to measure vitamin D forms [55] and the use of methods not validated for the medium breast milk (which contains much higher fat proportions than other mediums, such as plasma serum and urine). In addition, factors such as pre-processing or storage could have had an influence on the levels found. For example, one study [56] found that milk stored in plastic containers were found to have lower levels of vitamin D than in glass containers, possible due to the absorption of vitamin D by the plastic.

Translation into nutrient requirements

Based on the assumption that breast milk provides adequate amounts of the majority of nutrients for optimal growth of infants [1] and that exclusive breastfeeding is recommended up to 6 months of age [1, 2], the results of this review can be used to estimate the requirements of infants up to 6 months of age. When taking the age-specific high quality estimates for calcium and zinc concentrations in breast milk multiplied by the age-specific intake of breast milk [57], breast milk is estimated to provide 181 mg/day of calcium and 1.6 mg/day of zinc over the first 6 months of life. These estimates for calcium and zinc could be used to estimate the adequate intake (AI) in infants 0–6 months old. As a comparison, the Institute of Medicine recommends an AI for calcium of 200 mg/d [58] and for zinc of 2 mg/d [59] for infants up to six months of age. Due to the low ARA of breast milk, the calculated values are not appropriate to estimate AI in vitamin D in infants 0–6 month old [60].

Strengths and limitations

A strength of this review is the considerate effort that was made to review the most extensive literature available on the topic. In fact, an extensive systematic search strategy was developed and complemented with hand searches, including searches of African and Latin American literature databases. Moreover, eligibility criteria were kept wide, with no restrictions for dates of publication or language. When looking at the geographical distribution of the studies included, one can conclude that studies in most regions of the world could be identified and included in our review. Another strength of this study is the multiple sub-group analyses and meta-regressions conducted to compare different groups of populations and study influencing factors.

A limitation of this review was the quality of the studies included and the information available. Several studies did not provide sufficient information on influencing factors, especially on nutrition status. Moreover, the statistical heterogeneity was high for all three nutrients (I2 of 100% and significant τ2). There was also an uneven distribution of the studies between some of the sub-groups (i.e. healthy vs. unhealthy, adult vs. adolescent mothers, with vs. without supplementation) indicating that the results of these sub-group analyses should be interpreted with caution [12]. To mitigate this limitation, for zinc, the differences between the sub-groups were further investigated by controlling the effect of time since birth.

Conclusion

This review provides global estimates of calcium, zinc and vitamin D content in breastmilk and indications on changes over time and other influencing factors. Results of the review can be used as an aid in assessing infant and young child nutrition, including the estimation of nutrient intakes and requirements.

Data availability

The complete datasets used during the current study are available from the corresponding author on reasonable request.

Abbreviations

25OHD:

25-hydroxy-vitamin D

AAS:

Atomic absorption spectroscopy

AIC:

Akaike information criterion

ARA:

Anti-rachitic activity

CENTRAL:

Cochrane Central Register of Controlled Trials

CI:

Confidence interval

CPBA:

Competitive protein-binding assay

FAAS:

Flame atomic absorption spectroscopy

FAO:

Food and Agriculture Organization

HPLC:

High-performance liquid chromatograph

ICP-AES:

Inductively coupled plasma atomic emission spectroscopy

ICP-MS:

Inductively coupled plasma mass spectrometry

LC-MS/MS:

Liquid Chromatography Tandem Mass Spectrometry

LILACS:

Literatura Latino-Americana e do Caribe em Ciências da Saúde

MD:

Mean difference

NA:

Not applicable

SD:

Standard deviation

UVB:

Ultraviolet B

References

  1. Kramer MS, Kakuma R. Optimal duration of exclusive breastfeeding. Cochrane Pregnancy and Childbirth Group, editor. Cochrane Database of Systematic Reviews. 2012;CD003517.

  2. World Health Organization (WHO). Global strategy for infant and young child feeding. 2003. ISBN 92 4 156221 8.

  3. Shertukde SP, Cahoon DS, Prado B, Cara KC, Chung M. Calcium intake and metabolism in infants and young children: a systematic review of balance studies for supporting the development of calcium requirements. Adv Nutr. 2022;13:1529–53.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Beauchesne AR, Cara KC, Krobath DM, Penkert LP, Shertukde SP, Cahoon DS, et al. Vitamin D intakes and health outcomes in infants and preschool children: Summary of an evidence report. Ann Med. 2022;54:2278–301.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Ceballos-Rasgado M, Lowe NM, Moran VH, Clegg A, Mallard S, Harris C, et al. Toward revising dietary zinc recommendations for children aged 0 to 3 years: a systematic review and meta-analysis of zinc absorption, excretion, and requirements for growth. Nutr Rev. 2022;13:2488–518.

    Google Scholar 

  6. World Health Organization, International Atomic Energy Agency, editors. Minor and trace elements in breast milk: report of a joint WHO/IAEA collaborative study. Geneva: [Albany, NY: World Health Organization ; WHO Publications Center USA]; 1989.

    Google Scholar 

  7. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.

    Article  PubMed  PubMed Central  Google Scholar 

  8. World Health Organization (WHO)., Food and Agricultural Organization (FAO). Vitamin and mineral requirements in human nutrition. Second edition. 2004.

  9. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;n71.

  10. Covidence systematic review software [Internet]. Melbourne, Australia: Veritas Health Innovation; Available from: www.covidence.org.

  11. PlotDigitizer software [Internet]. Available from: plotdigitizer.sourceforge.net.

  12. Higgins J, Green S. Cochrane handbook for systematic reviews of interventions [Internet]. The Cochrane Collaboration; 2019. Available from: http://www.handbook.cochrane.org.

  13. Borenstein M, Hedges LV, Higgins JP, Rothstein HR. Introduction to meta-analysis. West Sussex, United Kingdom: John Wiley & Sons, Ltd; 2009.

    Book  Google Scholar 

  14. National Academies of Sciences, Engineering, and, Medicine. Scanning for new evidence on the nutrient content of human milk: a process model for determining age-specific nutrient requirements. The National Academies Press; 2020.

  15. Jarjou LMA, Prentice A, Sawo Y, Laskey MA, Bennett J, Goldberg GR, et al. Randomized, placebo-controlled, calcium supplementation study in pregnant gambian women: effects on breast-milk calcium concentrations and infant birth weight, growth, and bone mineral accretion in the first year of life. Am J Clin Nutr. 2006;83:657–66.

    Article  CAS  PubMed  Google Scholar 

  16. Prentice A, Jarjou LM, Cole TJ, Stirling DM, Dibba B, Fairweather-Tait S. Calcium requirements of lactating gambian mothers: effects of a calcium supplement on breast-milk calcium concentration, maternal bone mineral content, and urinary calcium excretion. Am J Clin Nutr. 1995;62:58–67.

    Article  CAS  PubMed  Google Scholar 

  17. Ortega RM, Martínez RM, Quintas ME, López-Sobaler AM, Andrés P. Calcium levels in maternal milk: relationships with calcium intake during the third trimester of pregnancy. Br J Nutr. 1998;79:501–7.

    Article  CAS  PubMed  Google Scholar 

  18. Vítolo MR, Valente Soares LM, Carvalho EB, Cardoso CB. Calcium and magnesium concentrations in mature human milk: influence of calcium intake, age and socioeconomic level. Arch Latinoam Nutr. 2004;54:118–22.

    PubMed  Google Scholar 

  19. Hampel D, Dror DK, Allen LH. Micronutrients in human milk: analytical methods. Adv Nutr. 2018;9:313S–31.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Ortega RM, Andrés P, Martínez RM, López-Sobaler AM, Quintas ME. Zinc levels in maternal milk: the influence of nutritional status with respect to zinc during the third trimester of pregnancy. Eur J Clin Nutr. 1997;51:253–8.

    Article  CAS  PubMed  Google Scholar 

  21. Alam S, Hennigar SR, Gallagher C, Soybel DI, Kelleher SL. Exome sequencing of slc30a2 identifies novel loss- and gain-of-function variants associated with breast cell dysfunction. J Mammary Gland Biol Neoplasia. 2015;20:159–72.

    Article  PubMed  Google Scholar 

  22. Qian L, Wang B, Tang N, Zhang W, Cai W. Polymorphisms of SLC30A2 and selected perinatal factors associated with low milk zinc in chinese breastfeeding women. Early Hum Dev. 2012;88:663–8.

    Article  CAS  PubMed  Google Scholar 

  23. Amukele TK, Soko D, Katundu P, Kamanga M, Sun J, Kumwenda NI, et al. Vitamin D levels in malawian infants from birth to 24 months. Arch Dis Child. 2013;98:180–3.

    Article  PubMed  Google Scholar 

  24. Greer FR, Ho M, Dodson D, Tsang RC. Lack of 25-hydroxyvitamin D and 1,25-dihydroxyvitamin D in human milk. J Pediatr. 1981;99:233–5.

    Article  CAS  PubMed  Google Scholar 

  25. Nguyen MTT, Kim J, Lee H, Won S, Kim Y, Jung JA, et al. A comparison of vitamin and lutein concentrations in breast milk from four asian countries. Nutrients. 2020;12:1794.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Dawodu A, Salameh KM, Al-Janahi NS, Bener A, Elkum N. The effect of high-dose postpartum maternal vitamin D supplementation alone compared with maternal plus infant vitamin D supplementation in breastfeeding infants in a high-risk population. A randomized controlled trial. Nutrients. 2019;11:1632.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Oberhelman SS, Meekins ME, Fischer PR, Lee BR, Singh RJ, Cha SS et al. Maternal vitamin D supplementation to improve the vitamin D status of breast-fed infants: a randomized controlled trial. Mayo Clin Proc. 2013;88:1378–87.

  28. Oberson JM, Bénet S, Redeuil K, Campos-Giménez E. Quantitative analysis of vitamin D and its main metabolites in human milk by supercritical fluid chromatography coupled to tandem mass spectrometry. Anal Bioanal Chem. 2020;412:365–75.

    Article  CAS  PubMed  Google Scholar 

  29. Olafsdottir AS, Wagner KH, Thorsdottir I, Elmadfa I. Fat-soluble vitamins in the maternal diet, influence of cod liver oil supplementation and impact of the maternal diet on human milk composition. Ann Nutr Metab. 2001;45:265–72.

    Article  CAS  PubMed  Google Scholar 

  30. Panagos PG, Vishwanathan R, Penfield-Cyr A, Matthan NR, Shivappa N, Wirth MD, et al. Breastmilk from obese mothers has pro-inflammatory properties and decreased neuroprotective factors. J Perinatol. 2016;36:284–90.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Takeuchi A, Okano T, Tsugawa N, Tasaka Y, Kobayashi T, Kodama S, et al. Effects of ergocalciferol supplementation on the concentration of vitamin D and its metabolites in human milk. J Nutr. 1989;119:1639–46.

    Article  CAS  PubMed  Google Scholar 

  32. Saadi HF, Dawodu A, Afandi B, Zayed R, Benedict S, Nagelkerke N, et al. Effect of combined maternal and infant vitamin D supplementation on vitamin D status of exclusively breastfed infants. Matern Child Nutr. 2009;5:25–32.

    Article  PubMed  Google Scholar 

  33. Shi Y, Sun G, Zhang Z, Deng X, Kang X, Liu Z, et al. The chemical composition of human milk from Inner Mongolia of China. Food Chem. 2011;127:1193–8.

    Article  CAS  PubMed  Google Scholar 

  34. Stoutjesdijk E, Schaafsma A, Nhien NV, Khor GL, Kema IP, Hollis BW, et al. Milk vitamin D in relation to the “adequate intake” for 0-6-month-old infants: a study in lactating women with different cultural backgrounds, living at different latitudes. Br J Nutr. 2017;118:804–12.

    Article  CAS  PubMed  Google Scholar 

  35. Stoutjesdijk E, Schaafsma A, Kema IP, van der Molen J, Dijck-Brouwer DAJ, Muskiet FAJ. Influence of daily 10–85 µg vitamin D supplements during pregnancy and lactation on maternal vitamin D status and mature milk antirachitic activity. Br J Nutr. 2019;121:426–38.

    Article  CAS  PubMed  Google Scholar 

  36. við Streym S, Højskov CS, Møller UK, Heickendorff L, Vestergaard P, Mosekilde L, et al. Vitamin D content in human breast milk: a 9-mo follow-up study. Am J Clin Nutr. 2016;103:107–14.

    Article  PubMed  Google Scholar 

  37. Wall CR, Stewart AW, Camargo CA, Scragg R, Mitchell EA, Ekeroma A, et al. Vitamin D activity of breast milk in women randomly assigned to vitamin D3 supplementation during pregnancy. Am J Clin Nutr. 2016;103:382–8.

    Article  CAS  PubMed  Google Scholar 

  38. Greer FR, Hollis BW, Cripps DJ, Tsang RC. Effects of maternal ultraviolet B irradiation on vitamin D content of human milk. J Pediatr. 1984;105:431–3.

    Article  CAS  PubMed  Google Scholar 

  39. Specker BL, Tsang RC, Hollis BW. Effect of race and diet on human-milk vitamin D and 25-hydroxyvitamin D. Am J Dis Child. 1985;139:1134–7.

    CAS  PubMed  Google Scholar 

  40. Ala-Houhala M, Koskinen T, Parviainen MT, Visakorpi JK. 25-Hydroxyvitamin D and vitamin D in human milk: effects of supplementation and season. Am J Clin Nutr. 1988;48:1057–60.

    Article  CAS  PubMed  Google Scholar 

  41. Hollis BW, Wagner CL. Vitamin D requirements during lactation: high-dose maternal supplementation as therapy to prevent hypovitaminosis D for both the mother and the nursing infant. Am J Clin Nutr. 2004;80:1752S–8S.

    Article  CAS  PubMed  Google Scholar 

  42. Niramitmahapanya S, Kaoiean S, Sangtawesin V, Patanaprapan A, Bordeerat NK, Deerochanawong C. Correlation of 25-hydroxyvitamin D levels in serum vs. breastmilk in vitamin D-supplementation breastfeeding women during lactation: randomized double blinded control trial. J Med Assoc Thai. 2017;100(Suppl 1):165–71.

    Google Scholar 

  43. Wagner CL, Hulsey TC, Fanning D, Ebeling M, Hollis BW. High-dose vitamin D3 supplementation in a cohort of breastfeeding mothers and their infants: a 6-month follow-up pilot study. Breastfeed Med. 2006;1:59–70.

    Article  PubMed  Google Scholar 

  44. Wu X, Jackson RT, Khan SA, Ahuja J, Pehrsson PR. Human milk nutrient composition in the United States: current knowledge, challenges, and research needs. Curr Developments Nutr. 2018;2:nzy025.

    Article  Google Scholar 

  45. Yang T, Zhang L, Bao W, Rong S. Nutritional composition of breast milk in chinese women: a systematic review. Asia Pac J Clin Nutr. 2018;27:491–502.

    CAS  PubMed  Google Scholar 

  46. Gidrewicz DA, Fenton TR. A systematic review and meta-analysis of the nutrient content of preterm and term breast milk. BMC Pediatr. 2014;14:216.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Perrin MT, Belfort MB, Hagadorn JI, McGrath JM, Taylor SN, Tosi LM, et al. The nutritional composition and energy content of donor human milk: a systematic review. Adv Nutr. 2020;11:960–70.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Dorea JG. Calcium and phosphorus in human milk. Nutr Res. 1999;19:709–39.

    Article  CAS  Google Scholar 

  49. Dror DK, Allen LH. Overview of nutrients in human milk. Adv Nutr. 2018;9:278S–94.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Peila C, Gazzolo D, Bertino E, Cresi F, Coscia A. Influence of diabetes during pregnancy on human milk composition. Nutrients. 2020;12:185.

    Article  PubMed  PubMed Central  Google Scholar 

  51. LASER Analytica. Comprehensive literature search and review of breast milk composition as preparatory work for the setting of dietary reference values for vitamins and minerals. EFSA supporting publication. 2014;EN–629:154.

    Google Scholar 

  52. Brown KH, Engle-Stone R, Krebs NF, Peerson JM. Dietary intervention strategies to enhance zinc nutrition: promotion and support of breastfeeding for infants and young children. Food Nutr Bull. 2009;30:144–71.

    Article  Google Scholar 

  53. Belavady B. Lipid and trace element composition of human milk. Acta Paediatr Scand. 1978;67:566–71.

    Article  CAS  PubMed  Google Scholar 

  54. Gates A, Marin T, Leo GD, Stansfield BK. Review of preterm human-milk nutrient composition. Nutrition in Clinical Practice [Internet]. 2020 [cited 2020 Dec 30]; Available from: https://onlinelibrary.wiley.com/doi/abs/10.1002/ncp.10570.

  55. Sempos C, Binkley N. 25-Hydroxyvitamin D assay standardisation and vitamin D guidelines paralysis. Public Health Nutr. 2020;23:1153–64.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Van Zoeren-Grobben D, Schrijver J, Van den Berg H, Berger HM. Human milk vitamin content after pasteurisation, storage, or tube feeding. Arch Dis Child. 1987;62:161–5.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Rios-Leyvraz M, Yao Q. The volume of breast milk intake in infants and young children: a systematic review and meta-analysis. Breastfeed Med. 2023;18:188–97.

    Article  PubMed  Google Scholar 

  58. Ross AC. Institute of Medicine (U. S.), editors. Dietary reference intakes: calcium, vitamin D. Washington, DC: National Academies Press; 2011.

    Google Scholar 

  59. Institute of Medicine (U.S.), editor. DRI: dietary reference intakes for vitamin A, vitamin K, arsenic, boron, chromium, copper, iodine, iron, manganese, molybdenum, nickel, silicon, vanadium, and zinc: a report of the Panel on Micronutrients ... and the Standing Committee on the Scientific Evaluation of Dietary Reference Intakes, Food and Nutrition Board, Institute of Medicine. Washington, D.C: National Academy Press; 2001.

  60. EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA). Dietary reference values for vitamin D. EFSA Journal [Internet]. 2016 [cited 2021 Sep 27];14. Available from: https://data.europa.eu/doi/https://doi.org/10.2903/j.efsa.2016.4547.

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Acknowledgements

We would like to thank Dr Jason Montez from WHO for conducting the databases searches, for his inputs on the protocol, and for reviewing the report. We would like to also thank the FAO/WHO experts group on nutrient requirements for children aged 0–36 months for their valuable inputs and the WHO translation team, Rain Yamamoto and Darius Rohani for translating full-texts.

Funding

Funding for this work was provided to MRL and QY by the Food and Agriculture Organization of the United Nations (FAO) and the World Health Organization (WHO).

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Dr Magali Rios-Leyvraz (MRL) designed the research protocol and conducted the manual searches. MRL and Qisi Yao (QY) screened the studies. MRL screened the studies from the update. MRL extracted the data for all studies, except for the studies in Chinese, which were extracted by QY. QY verified a subset of the extracted data. MRL conducted the analyses and wrote the report. QY provided inputs to the report. All authors read and approved the final manuscript.

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Correspondence to Magali Rios-Leyvraz.

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The authors declare that they have no competing interests. MRL is an independent consultant, with expertise in nutritional epidemiology, which was hired by WHO and FAO to conduct this work.

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Rios-Leyvraz, M., Yao, Q. Calcium, zinc, and vitamin D in breast milk: a systematic review and meta-analysis. Int Breastfeed J 18, 27 (2023). https://doi.org/10.1186/s13006-023-00564-2

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