Skip to main content

The association of maternal food quality score (FQS) with breast milk nutrient content and antioxidant content of infant urine: a cross-sectional study

Abstract

Background

Breast milk (BM) is a complex fluid with a variable composition within women over time and between women in the population. The BM compositional differences are likely to be partly due to maternal dietary patterns. This study aimed to evaluate food quality score (FQS) in lactating mothers and its association with quality indicators of BM and antioxidant content of infant urine.

Methods

This cross-sectional study was undertaken in 350 lactating women aged 20 to 35 years. Data on dietary intake was collected using a validated food frequency questionnaire (FFQ) containing 65 food items. The FQS was calculated by integrating the scores obtained from healthy and unhealthy food groups. Subjects were categorized according to FQS adherence, with the greatest adherence being allocated to the third tertile and those with the lowest FQS in the first tertile. Antioxidant activity of the BM and infant urine samples was assessed using the Ferric reducing antioxidant power (FRAP), 2, 2′-diphenyl-1-picrylhydrazyl (DPPH), thiobarbituric acid reactive substances (TBARs), and Ellman’s assay. The total content of BM protein, calcium, and triglyceride was measured using standard biochemical kits.

Results

BM from mothers from the third tertile of FQS contained significantly higher DPPH, thiol, calcium, and protein levels compared to BM from those in the lowest tertile (p˂0.05). Infant urinary DPPH and FRAP was also significantly higher in the highest tertile vs. the lowest tertile (p˂0.05).

Conclusion

High maternal adherence to the FQS was associated with a high BM quality and antioxidant content of infant urine.

Peer Review reports

Introduction

Breast milk (BM) feeding is recommended by the World Health Organization (WHO) as the exclusive source of infant nutrition during the first six months of life followed by continued breastfeeding for at least two years [1]. Both in terms of nutritional composition and non-nutritious bioactive factors, BM secures optimal health and development of infants [2]. Breastfeeding is a decisive factor in reducing the risk of Sudden Infant Death Syndrome (SIDS) [3] as well as long-term mortality and morbidity from infectious diseases [4], cardiovascular disease (CVD) [5], gastrointestinal disorders [6, 7], metabolic diseases [8], allergic pathologies [9], and cognitive impairment [10] in infants. BM contains macronutrients (proteins, carbohydrates, and lipids), micronutrients (vitamins and minerals), non-nutrient bioactive compounds (antioxidants, growth factors, hormones, and prebiotics), and components protecting against infection (immunoglobulin A [IgA], lactoferrin, oligosaccharides, and lysozyme) [11]. Infants often struggle with the challenges of oxidative stress caused by the rapid transition from intrauterine to extrauterine milieu with much more oxygen [12]. Oxidative stress, defined as the homeostatic imbalance between oxygen-derived metabolites (predominantly reactive oxygen species [ROS]) and antioxidant defense systems, is responsible for a wide spectrum of infant diseases [13]. It is well known that antioxidant components of BM, including superoxide dismutase, glutathione peroxidase, catalase, vitamins (A, C, and E), carotenoids, α-tocopherol, and thiols protect infants against ROS-related conditions [12, 14]. The higher content of urinary antioxidant biomarkers in breastfed infants compared to formula-fed infants is partial evidence of these protective effects of the BM [15]. However, BM is a complex and dynamic fluid with a variable composition between mothers and within populations. The BM compositional differences are due to several maternal, infant, and environmental factors such as lactation stage, term/preterm delivery, and dietary patterns [16].

Evidence suggests that total antioxidant capacity (TAC), and the content of fatty acids (FAs) and vitamins A, C, B-6, and B-12 in BM are closely related to maternal nutrition during pregnancy [17, 18]. Since the assessment of single nutrient intakes does not accurately reflect the overall quality of the diet, dietary scores that take the whole diet into account, like the Food Quality Score (FQS) have been developed. Nutrient intake assessments do not require a database or software, and food-based scores are easily adjusted for clinical use [19]. FQS is usually determined by integration of the different food groups that fall into two categories: healthy and unhealthy [20]. FQS has previously been assessed in a limited number of studies where its association with the risk of metabolic syndrome [21], coronary heart disease [22], CVD [20], and breast cancer [23] was evaluated. Although many studies have been conducted on the impact of maternal dietary patterns such as vegetarianism, and a Mediterranean diet on BM composition among different populations [24,25,26], no study has focused on the relationship between FQS and antioxidant content of BM and infant urine. Therefore, this study aimed to investigate the FQS in lactating mothers and its association with quality indicators of BM and infant urine including TAC and content of some micro and macronutrients.

Material and methods

Study design and participants

In this cross-sectional study, 350 breastfeeding mothers aged between 20 to 35 years were recruited from four healthcare centers in southern Khorasan, Birjand, Iran in 2021. Participant’s inclusion was performed by a cluster random sampling method. Written informed consent was taken from subjects prior to recruitment. All participants had infants between the ages of 1 and 6 months, with no history of chronic diseases or medication intake in the last six months. The sample size for the study was calculated with 80% power using the PASS ver.11 using a mean±sd of Urinary MDA (μmol TBARs/mg Cr) in the first and last tertiles of DASH diet and α=0.05 [27]. According to this calculation and regards to design effect (Deff) =1.5 for cluster random sampling design, 350 participants were calculated for all 4 clusters; nevertheless, 420 participants (105 participants for each cluster) were initially recruited to account for data availability and for possible exclusions and drop outs. Fig. 1 shows a flow chart of the recruitment and follow-up numbers of lactating women in the study.The Ethics Committee of Birjand University of Medical Sciences approved the study. Each mother was requested to provide two samples of BM in 20 ml volumes expressed from the primary breastfeeding at the beginning of the day. In addition, a 10 ml urine sample was taken from each infant at by urine bag. Samples were collected in sterile tubes and stored quickly at -80 °C until processing.

Fig. 1
figure 1

Enrollment flow chart of lactating women

Dietary assessments

To record the dietary data of the participants, a 65-semi-quantitative food frequency questionnaire (FFQ) was completed. A trained dietician asked mothers to rate their frequency of food consumption for each item over the course of the previous year as daily, weekly, monthly, sometimes or never. The reliability and validity of the FFQ has previously been reported in the Iranian population [28]. After collecting participants’ information about the type, size, and frequency of consumption of each food item, the average daily consumption (gr/day) was calculated for reported foods using household scales. We used Nutritionist IV software (version 7.0; N-Squared Computing, Salem, OR) rectified for Iranian food ingredients for nutrient and energy intake assessment.

FQS determination

Food quality scoring was performed by the scale developed by Fung et al. [22]. FQS ingredients include vegetables, fruits, whole grains, nuts and legumes, yogurt, coffee as healthy foods as well as refined grains, sugar-sweetened beverages, desserts and ice cream, red and processed meats, potato and potato chips, and fried food consumed outside the home as unhealthy foods. We then classified the participants' intake into deciles. A value between 1 and 10 was assigned to each healthy component. For unhealthy components, a reverse scoring process (values between 10 and 1) was assigned. Finally, the total FQS (in the range of 14 to 140) was calculated by summing all the scores obtained for each participant, so that a higher score indicates a healthier diet.

Measurement of antioxidant activity

Total antioxidant status of BM and infant urine samples was determined using four different assays: the Ferric reducing antioxidant power (FRAP), 2, 2′-diphenyl-1-picrylhydrazyl (DPPH), Thiobarbituric acid reactive substances (TBARS), and Ellman’s assay as described below.

FRAP assay

The assay was based on the method of Benzie and Strain [29], in which the reduction of the ferric-tripyridyl-s-triazine (TPTZ) complex in working FRAP reagent to the ferrous-TPTZ followed by the formation of an intense blue color that can be measured by the adsorption amount at 593 nm [30]. Ten µL of each BM or infant urine sample (1:10 diluted), standard (FeSO4) or blank (for each milk sample, a blank sample was used to remove milk turbidity) was mixed with 250 µL of the working FRAP reagent. Following incubation of the reaction mixture at 37 °C for 10 min, its absorption was measured using a spectrophotometer at 593 nm. All tests were run in duplicate and the results are reported in µmol/L.

DPPH assay

A modification of the method proposed by Brand-Williams et al. was applied [31]. This is based on the reduction of violet DPPH radical to a stable pale-yellow molecule (1, 1- diphenyl-2- picrylhydrazine) and subsequent spectrophotometric measurement of the residual DPPH radical [32]. For BM, after adding 50 μl of the samples to 950 μl of DPPH solution and incubating at room temperature for 10 min, the resulting mixture was centrifuged at 3000 g for 3 min and the supernatants were assessed spectrophotometrically at 517 nm. Each infant urine sample was centrifuged at 3000 g for 3 min and diluted 1/10, followed by adding 20 μl of each sample to 250 μl of DPPH solution. Using an methanolic DPPH solution (100 mM) as a control, and adsorption assessment at 517 nm. Percent of DPPH radical scavenging activity was calculated as: [(absorbance of the control – absorbance of the sample)/absorbance of the control] *100.

Each test was repeated twice, and the results were reported in µmol Trolox equivalent /L.

TBARs assay

Using the method developed of Placer et al. [33], the reaction of thiobarbituric acid (TBA) with malondialdehyde (MDA) leaves a pink complex (TBARs) that can be detected spectrophotometrically. For the assay, 100 μl of each sample (BM and urine) was mixed with 1 ml of TBA/trichloroacetic acid/HCl reagent, and the mixture was heated in a water bath for 20 min. After precipitating the TBARs adducts with 1 ml of N-butanol and subsequent dissolution in water, the fluorescence was read at excitation and emission wavelengths of 515 and 553 nm, respectively. The results (μmol TBARs/L) were obtained using a standard curve using different concentration of 1.1.2.2 tetramethoxy propane as standard.

Ellman’s assay

To monitor the free thiol groups in BM samples, 5,5’-dithio-bis-(2-nitrobenzoic acid) (DTNB) or Ellman’s reagent was used [34]. Briefly, 50 µl of BM samples was added to 1 ml of Tris/EDTA buffer and 50 µl of 10 mM DTNB solution and after incubation period, 650 µL N-butanol was added. The mixture was centrifuged for 5 min at 3000 g. The absorbance was measured at 412 nm, and the net adsorption was calculated by subtracting the apparent absorbance from the absorbance of a DTNB blank (which contained methanol instead of the samples). The standard curve was prepared using reduced glutathione and the results were expressed as μmol/L [35].

Biochemical assessments

The nutrient content of BM samples was also assessed using standard biochemical kits (Pars Azmoon, Tehran, Iran) for the total levels of protein, calcium, and triglyceride. All photometric analyses were performed at 37 °C using a plate reader (EpochTM, BioTek, Winooski, VT, USA). To evaluate all absorbance information, monochromatic readings were taken [36].

Anthropometric and demographic assessment

A trained nurse evaluated information including mother age, mother systolic blood pressure (SBP), mother dyastolic blood pressure (DBP), mother body mass index (BMI) infant age, and infant head circumference (cm). Each parcipitant's height and weight were assessed using standard procedures and the BMI [weight (kg)/height (m2)] was estimated. With a tape measure, the height and circumference of the infant's head were measured to the nearest millimeter. To document the weight to the nearest 0.1 kg, electronic scales were used. SBP and DBP assessments after sitting and resting were performed repeatedly using a mercury sphygmomanometer for 25 minutes period, and the average of the assessments was documented.

Statistical analysis

The calculated FQS were classified into tertiles (T1: low adherence, T3: high adherence). To assess the variables’ normality, the Kolmogorov-Smirnov analysis was employed. To study continuous variables (BM and infant urinary) with normal distribution among tertiles, a one-way ANOVA test was used. Linear regression methods were used to calculate adjusted β estimates and 95% confidence interval (CIs) were also undertaken to specify the association between the maternal FQS with nutrient content of BM and infant urinary. Regression models were adjusted for BM samples: for maternal age, BMI, energy intake, and for infant urine:for infant age. All statistical analyses were performed using the statistical package for social sciences (SPSS, version 16.0) software, with a significance level of P <0.05.

Results

Demographic and anthropometric of the participants in the different tertiles of adherence to the FQS (Table 1)

Table 1 Demographic, anthropometric and clinical characteristics of the participants in different tertiles of the adherence to the food quality score (FQS)

The 350 women aged 29.5±5.9 years were divided into 3 groups based on the tertiles of their FQS: T1 was in the lowest tertiles (lowest adherence; n=118), T2 was in the second (n=122), and T3 was in the highest (higher adherence; n=110). There was no significant relationship between the participants' general anthropometric and demographic data including mother age, mother SBP, mother DBP, mother BMI, infant age and infant head circumference for participants in the lowest (T1) and greatest (T3) tertiles of FQS adherence (P>0.05). All the results were normal according to Kormogorov Smirnov (P>0.05).

Comparison of dietary intakes of participants between highest and lowest tertiles of the FQS (Table 2)

Table 2 Comparison of dietary intakes of participants between highest and lowest tertiles of the adherence to the FQS

As shown in Table 2, the highest FQS group consumed significantly more vitamins such as B12, E and C, fruits, nuts and legumes, vegetables, yogurt, and whole grains (P < 0.05). Furthermore, the greater FQS group consumed fewer red meat, refined grains, sugar-sweetened beverages, desserts and ice cream, potato and fried food (P < 0.05). However, there were no significant differences in vitamins such as B6, and thiamin, potato chips, and coffe consumption between the lowest and highest FQS groups (P > 0.05).

BM anti-oxidant and infant urinary anti-oxidant by tertiles (T) categories of FQS (Table 3)

Table 3 BM anti-oxidant and infant urinary anti-oxidant by tertiles (T) categories of FQS

Milk DPPH, thiol, calcium, protein, and infant urine DPPH and FRAP levels were significantly elevated in the highest tertile of the FQS than in the lowest tertile (P < 0.05; Table 3).

Multivariable adjusted β (95% CIs) for content in BM and infant urinary across tertiles of FQS (Table 4)

Table 4 Adjusted linear regression analysis (β, 95% confidence intervals) for content in BM and infant urinary across tertiles of FQS

Linear regression analysis demonstrated that third FQS tertile was associated with higher milk DPPH (β = 0.26; 95% CI: 0.07 to 0.048), thiol (β = 0.005; 95% CI: 0.001 to 0.009), calcium (β = 0.88; 95% CI:0.83 to 0.89), protein (β = 0.09; 95% CI:0.07 to 0.012) and infant urinary FRAP levels (β = 0.003; 95% CI: 0.002 to 0.005) and DPPH levels (β = 0.053; 95% CI:0.015 to 0.093) versus first FQS tertile.

Discussion

We have investigated the association between maternal diet quality and BM nutrient content as well as TAC of infant urine. A significant positive association was found between maternal FQS and quality indicators of BM including DPPH, thiol, calcium, and protein. A higher FQS was also associated with higher TAC levels in the infant's urine, indicating the important role of maternal nutrition in the proper development of the infant. There is increasing research on the effect of maternal dietary patterns during pregnancy and lactation on BM composition as well as the anthropometric indices of the offspring [37,38,39]. Hu and colleagues recently concluded that following diet patterns rich in animal and plant foods leads to higher fat and lower protein content in colostrum. Whereas in mature milk, animal and plant foods-rich dietary patterns were associated with increased carbohydrates and decreased fat content, respectively [25]. According to Lisa and colleagues, Indonesian mothers with multiple micronutrient deficiencies had lower content of B vitamins, retinol, sodium, copper, and iron in their BM. In addition, concentrations of vitamin B12, beta-cryptoxanthin, retinol, selenium, and iron were positively correlated with the maternal nutritional condition at 5 months postpartum [40, 41]. Huang et al. have reported that consuming more red meat, grains, and eggs during lactation resulted in higher content of total dry matter, protein, and energy in BM [42].

Calcium concentration is one of the most important indicators of BM quality due to its important role in ossification and cellular signaling [43]. There are obvious differences between countries in calcium concentration of BM, which can be due to variations in dietary guidelines of different geographical areas. However, in most of the studies, no correlation was found between maternal dietary calcium/vitamin D intake and BM calcium content [44, 45]. Nevertheless, based on our findings, regardless of cultural and geographical differences, the quality of maternal nutrition appeared to be positively correlated with BM calcium content.

Another indicator of BM quality is protein content, which is used as sources of nitrogen, amino acids, and antioxidant peptides. BM proteins are also involved in increasing the bioavailability of micronutrients, strengthening the immune system and non-immunological defenses, and forming microbiomes [46]. Studies have shown that the protein content of BM varies greatly between individuals and is influenced by habitual maternal intakes [47, 48]. Debski et al. have reported that the BM’s protein concentration in vegetarian and non-vegetarian mothers was 10.2 g/ml and 9.9 g/100 ml, respectively [49]. In contrast, Huang and colleagues reported a negative correlation between protein concentrations in BM and a greater adherence to a pattern of high intake of vegetables, legumes, and low intake of poultry, red meat, and eggs [50]. Therefore, the increase in BM protein in response to the increase in maternal FQS is in line with previous evidence.

One of the major macronutrients in BM is fat, about 98% of which is in the form of triglycerides [51]. BM fat is not only the main source of energy for newborns but also participates in the synthesis of prostacyclin precursors, thereby improving ventricular function and the architecture of membrane-rich tissues [52]. Several studies have shown that the fat content of BM, especially long-chain polyunsaturated fatty acids (LC-PUFAs), is significantly affected by the dietary pattern of lactating mothers [53, 54]. It has been found that approximately 75% of linoleic acid in BM is obtained directly from the maternal diet [55, 56]. In addition, it has been shown that the concentration of medium-chain fatty acids (MCFAs) in BM is also affected by the fat and carbohydrate intakes from the mother's diet [57]. However, we did not find a significant relationship between maternal diet quality and triglycerid content of BM. The antioxidant level of the BM is another potential indicator of diet quality, that may pave the way for health promotion through diet-based approaches [58].

According to evidence from previous studies, the antioxidant content of transitional and mature milk as well as infant urine may be related to the mother's dietary intake of vitamins A, E, and C, beta-carotene, and vegetables during pregnancy and lactation [59,60,61,62,63]. Significant correlations between maternal nutrition quality and TAC levels of BM and infant urine are evident from our results, too. We used the most well-known analytical methods to study the antioxidant status of biological samples, including FRAP, DPPH, TBARs, and Ellman’s assays, which are simple, inexpensive, and fast. Using FRAP and DPPH methods, our team reported a much higher TAC in colostrum compared to transitional and mature milk, as well as a significant relationship between BM's antioxidant capacity and maternal plasma [64].

In this study, total antioxidant status of BM and infant urine samples was determined using four different assays. Oxidative stress is related to an imbalance between free radical synthesis and antioxidant defenses, and it is often essential to evaluate the counterpart of oxidation, the total antioxidant status. Additional biomarkers have pointed out related antioxidant status/capacity status, rather than OS. As antioxidants can act additively or synergistically, they are absorbed and used in the human body in different ways, and the evaluation of total antioxidant activity yields more reliable data compared to the measurement of one antioxidant individually. These include indices that reflect the total scavenging potency of a plasma, serum, breast milk or urine aliquot, following, for instance, the addition of a radical-forming compound. Currently, the most often used tests for the evaluation of antioxidant stress are the and DPPH assays. The TBARs and Ellman’s assays were used to evaluate the lipid peroxidation and the free thiol groups, respectively.

We have assessed a wide spectrum of potential confounders in our study. Steps of sampling and data analysis were conducted with optimal quality control. However, this study has some limitations; the dietary assessment tool was developed for the general population and might not be completely appropriate for breastfeeding women, therefore our findings should be interpreted with caution. Also, due to the cross-sectional nature of the present research design, no definite causality can be inferred from the results. Therefore, a more accurate understanding of the role of maternal diet quality in BM composition requires more studies. Findings from such research can suggest effective strategies for nutritional interventions in lactating women.

Conclusion

We found that the quality of the mother's diet (indicated by FQS) had a signficant association with BM composition and the infant's urine. Further studies are necessary to confirm these results using a larger population sample.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. (The presented results are part of a comprehensive study with a large amount of unpublished data, the full content of which is not possible.)

Abbreviations

FQS:

Food quality score

BM:

Breast milk

FRAP:

Ferric reducing antioxidant power

DPPH:

2, 2′-Diphenyl-1-picrylhydrazyl

TBARS:

Thiobarbituric acid reactive substances

TAC:

Total antioxidant capacity

SIDS:

Sudden Infant Death Syndrome

CVD:

Cardiovascular disease

IgA:

Immunoglobulin A

ROS:

Reactive oxygen species

FFQ:

Food frequency questionnaire

TPTZ:

Ferric-tripyridyl-s-triazine

TBA:

Thiobarbituric acid

MDA:

Malondialdehyde

DTNB:

5,5’-Dithio-bis-(2-nitrobenzoic acid)

SBP:

Systolic blood pressure

DBP:

Diastolic blood pressure

LC-PUFAs:

Long-chain polyunsaturated fatty acids

MCFAs:

Medium-chain fatty acids

References

  1. Organization WH: Guideline: protecting, promoting and supporting breastfeeding in facilities providing maternity and newborn services: World Health Organization; 2017.

  2. Dror DK, Allen LH. Overview of Nutrients in Human Milk. Adv Nutr. 2018;9(suppl_1):278S-294S.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Thompson JM, Tanabe K, Moon RY, Mitchell EA, McGarvey C, Tappin D, Blair PS, Hauck FR. Duration of breastfeeding and risk of SIDS: an individual participant data meta-analysis. Pediatrics. 2017;140(5):e20171324.

    Article  PubMed  Google Scholar 

  4. Duijts L, Ramadhani MK, Moll HA. Breastfeeding protects against infectious diseases during infancy in industrialized countries A systematic review. Maternal Child Nutrition. 2009;5(3):199–210.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Afif E-K, Jain A, Lewandowski AJ, Levy PT. Preventing disease in the 21st century: early breast milk exposure and later cardiovascular health in premature infants. Pediatr Res. 2020;87(2):385–90.

    Article  Google Scholar 

  6. Miyake H, Lee C, Chusilp S, Bhalla M, Li B, Pitino M, Seo S, O’Connor DL, Pierro A. Human breast milk exosomes attenuate intestinal damage. Pediatr Surg Int. 2020;36(2):155–63.

    Article  PubMed  Google Scholar 

  7. Ramiro-Cortijo D, Singh P, Liu Y, Medina-Morales E, Yakah W, Freedman SD, Martin CR. Breast milk lipids and fatty acids in regulating neonatal intestinal development and protecting against intestinal injury. Nutrients. 2020;12(2):534.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Horta BL. Loret de Mola C, Victora CG: Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr. 2015;104:30–7.

    Article  CAS  PubMed  Google Scholar 

  9. e Silva AML, da Silva Monteiro GRS, da Silva Tavares AN, da Silva Pedrosa ZVR. The early food introduction and the risk of allergies: A review of the literature. Enfermería Global. 2019;18(2):499–511.

    Google Scholar 

  10. Krol KM, Grossmann T. Psychological effects of breastfeeding on children and mothers. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz. 2018;61(8):977–85.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Ongprasert K, Ruangsuriya J, Malasao R, Sapbamrer R, Suppansan P, Ayood P, Kittisakmontri K, Siviroj P. Macronutrient, immunoglobulin a and total antioxidant capacity profiles of human milk from 1 to 24 months: a cross-sectional study in Thailand. Int Breastfeed J. 2020;15(1):90.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Lembo C, Buonocore G, Perrone S. Oxidative Stress in Preterm Newborns Antioxidants. 2021;10(11):1672.

    CAS  PubMed  Google Scholar 

  13. Gila-Díaz A, Herranz Carrillo G, Cañas S. Saenz de Pipaón M, Martínez-Orgado JA, Rodríguez-Rodríguez P, López de Pablo ÁL, Martin-Cabrejas MA, Ramiro-Cortijo D, Arribas SM: Influence of Maternal Age and Gestational Age on Breast Milk Antioxidants During the First Month of Lactation. Nutrients. 2020;12(9):2569.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Matos C, Moutinho C, Balcão V, Almeida C, Ribeiro M, Marques AF, Guerra A. Total antioxidant activity and trace elements in human milk: the first 4 months of breast-feeding. Eur Food Res Technol. 2009;230(2):201–8.

    Article  CAS  Google Scholar 

  15. Shoji H, Shimizu T. Effect of human breast milk on biological metabolism in infants. Pediatr Int. 2019;61(1):6–15.

    Article  CAS  PubMed  Google Scholar 

  16. Lawrence RA. Biochemistry of human milk. In: Breastfeeding. Elsevier. 2022. p. 93–144.

    Chapter  Google Scholar 

  17. Oveisi MR, Sadeghi N, Jannat B, Hajimahmoodi M. Behfar A-O-A, Jannat F, Mokhtarinasab F: Human breast milk provides better antioxidant capacity than infant formula. Iran J Pharm Res. 2010;9(4):445–9.

    PubMed  PubMed Central  Google Scholar 

  18. Bravi F, Wiens F, Decarli A, Dal Pont A, Agostoni C, Ferraroni M. Impact of maternal nutrition on breast-milk composition: a systematic review. Am J Clin Nutr. 2016;104(3):646–62.

    Article  CAS  PubMed  Google Scholar 

  19. Waijers PM, Feskens EJ, Ocké MC. A critical review of predefined diet quality scores. Br J Nutr. 2007;97(2):219–31.

    Article  CAS  PubMed  Google Scholar 

  20. Darooghegi Mofrad M, Namazi N, Larijani B, Bellissimo N, Azadbakht L. The association of food quality score and cardiovascular diseases risk factors among women: A cross-sectional study. J Cardiovasc Thorac Res. 2019;11(3):237–43.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Lavigne-Robichaud M, Moubarac J-C, Lantagne-Lopez S, Johnson-Down L, Batal M, Sidi EAL, Lucas M. Diet quality indices in relation to metabolic syndrome in an Indigenous Cree (Eeyouch) population in northern Québec. Canada Public health nutrition. 2018;21(1):172–80.

    Article  PubMed  Google Scholar 

  22. Fung TT, Pan A, Hou T, Mozaffarian D, Rexrode KM, Willett WC, Hu FB. Food quality score and the risk of coronary artery disease: a prospective analysis in 3 cohorts. Am J Clin Nutr. 2016;104(1):65–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Hosseini F, Shab-Bidar S, Ghanbari M, Majdi M, Sheikhhossein F, Imani H: Food Quality Score and Risk of Breast Cancer among Iranian Women: Findings from a Case Control Study. Nutrition and Cancer 2021:1–10.

  24. Moro GE, Bertino E, Bravi F, Tonetto P, Gatta A, Quitadamo PA, Salvatori G, Profeti C, Di Nicola P, Decarli A. Adherence to the traditional Mediterranean Diet and human milk composition: Rationale, design, and subject characteristics of the MEDIDIET study. Front Pediatr. 2019;7:66.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Hu R, Eussen SRBM, Sijtsma FPC, Papi B, Stahl B, Jin Y, Mank M, Li J, Wang Z. Maternal dietary patterns are associated with human milk composition in Chinese lactating women. Nutrition. 2021;91–92: 111392.

    Article  PubMed  Google Scholar 

  26. Bravi F, Di Maso M, Eussen SR, Agostoni C, Salvatori G, Profeti C, Tonetto P, Quitadamo PA, Kazmierska I, Vacca E. Dietary Patterns of Breastfeeding Mothers and Human Milk Composition: Data from the Italian MEDIDIET Study. Nutrients. 2021;13(5):1722.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Bahrami A, Zarban A, Dehghani H, Mohamadifard M, Tavallaie S, Ferns GA: The Relationship Between Adherence to a Dietary Approach to Stop Hypertension Diet with Oxidative Stress and Antioxidant Capacity in Young Women. Turkish Journal of Endocrinology & Metabolism 2022, 26(3).

  28. Keshteli AH, Esmaillzadeh A, Rajaie S, Askari G, Feinle-Bisset C, Adibi P. A dish-based semi-quantitative food frequency questionnaire for assessment of dietary intakes in epidemiologic studies in Iran: design and development. Int J Prev Med. 2014;5(1):29.

    PubMed  PubMed Central  Google Scholar 

  29. Benzie IF, Strain JJ. The ferric reducing ability of plasma (FRAP) as a measure of “antioxidant power”: the FRAP assay. Anal Biochem. 1996;239(1):70–6.

    Article  CAS  PubMed  Google Scholar 

  30. Zhong Y, Shahidi F: Methods for the assessment of antioxidant activity in foods. In: Handbook of antioxidants for food preservation. edn.: Elsevier; 2015: 287–333.

  31. Brand-Williams W, Cuvelier M-E, Berset C. Use of a free radical method to evaluate antioxidant activity. LWT-Food science and Technology. 1995;28(1):25–30.

    Article  CAS  Google Scholar 

  32. Sirivibulkovit K, Nouanthavong S, Sameenoi Y. based DPPH assay for antioxidant activity analysis. Anal Sci. 2018;34(7):795–800.

    Article  CAS  PubMed  Google Scholar 

  33. Placer ZA, Cushman LL, Johnson BC. Estimation of product of lipid peroxidation (malonyl dialdehyde) in biochemical systems. Anal Biochem. 1966;16(2):359–64.

    Article  CAS  PubMed  Google Scholar 

  34. Aitken A, Learmonth M: Estimation of disulfide bonds using Ellman’s reagent. In: The protein protocols handbook. edn.: Springer; 1996: 487–488.

  35. Habeeb A: [37] Reaction of protein sulfhydryl groups with Ellman's reagent. In: Methods in enzymology. Volume 25, edn.: Elsevier; 1972: 457–464.

  36. Leary N, Pembroke A, Duggan P. Single stable reagent (Arsenazo III) for optically robust measurement of calcium in serum and plasma. Clin Chem. 1992;38(6):904–8.

    Article  CAS  PubMed  Google Scholar 

  37. Tielemans MJ, Steegers EA, Voortman T, Jaddoe VW, Rivadeneira F, Franco OH, Kiefte-de Jong JC. Protein intake during pregnancy and offspring body composition at 6 years: the Generation R Study. Eur J Nutr. 2017;56(6):2151–60.

    Article  CAS  PubMed  Google Scholar 

  38. Moon R, Harvey N, Robinson S, Ntani G, Davies J, Inskip H, Godfrey K, Dennison E, Calder P, Cooper C. Maternal plasma polyunsaturated fatty acid status in late pregnancy is associated with offspring body composition in childhood. J Clin Endocrinol Metab. 2013;98(1):299–307.

    Article  CAS  PubMed  Google Scholar 

  39. Tahir MJ, Haapala JL, Foster LP, Duncan KM, Teague AM, Kharbanda EO, McGovern PM, Whitaker KM, Rasmussen KM, Fields DA, et al. Higher Maternal Diet Quality during Pregnancy and Lactation Is Associated with Lower Infant Weight-For-Length, Body Fat Percent, and Fat Mass in Early Postnatal Life. Nutrients. 2019;11(3):632.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Daniels L, Gibson RS, Diana A, Haszard JJ, Rahmannia S, Luftimas DE, Hampel D, Shahab-Ferdows S, Reid M, Melo L, et al. Micronutrient intakes of lactating mothers and their association with breast milk concentrations and micronutrient adequacy of exclusively breastfed Indonesian infants. Am J Clin Nutr. 2019;110(2):391–400.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Gibson RS, Rahmannia S, Diana A, Leong C, Haszard JJ, Hampel D, Reid M, Erhardt J, Suryanto AH, Sofiah WN, et al. Association of maternal diet, micronutrient status, and milk volume with milk micronutrient concentrations in Indonesian mothers at 2 and 5 months postpartum. Am J Clin Nutr. 2020;112(4):1039–50.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Huang Z. Hu Y-m: Dietary patterns and their association with breast milk macronutrient composition among lactating women. Int Breastfeed J. 2020;15:1–10.

    Article  CAS  Google Scholar 

  43. Bae YJ, Kratzsch J. Vitamin D and calcium in the human breast milk. Best Pract Res Clin Endocrinol Metab. 2018;32(1):39–45.

    Article  CAS  PubMed  Google Scholar 

  44. Nickkho-Amiry M, Prentice A, Ledi F, Laskey M, Das G, Berry J, Mughal M. Maternal vitamin D status and breast milk concentrations of calcium and phosphorus. Arch Dis Child. 2008;93(2):179–179.

    Article  CAS  PubMed  Google Scholar 

  45. Jarjou LM, Prentice A, Sawo Y, Laskey MA, Bennett J, Goldberg GR, Cole TJ. 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(3):657–66.

    Article  CAS  PubMed  Google Scholar 

  46. Donovan SM: Human milk proteins: composition and physiological significance. In: Human milk: composition, clinical benefits and future opportunities. Volume 90, edn.: Karger Publishers; 2019: 93–101.

  47. Forsum E, Lönnerdal B. Effect of protein intake on protein and nitrogen composition of breast milk. Am J Clin Nutr. 1980;33(8):1809–13.

    Article  CAS  PubMed  Google Scholar 

  48. Wurtman JJ, Fernstrom JD. Free amino acid, protein, and fat contents of breast milk from Guatemalan mothers consuming a corn-based diet. Early Human Dev. 1979;3(1):67–77.

    Article  CAS  Google Scholar 

  49. Debski B, Finley DA, Picciano MF, Lönnerdal B, Milner J. Selenium content and glutathione peroxidase activity of milk from vegetarian and nonvegetarian women. J Nutr. 1989;119(2):215–20.

    Article  CAS  PubMed  Google Scholar 

  50. Huang Z, Hu Y-m: Dietary patterns and their association with breast milk macronutrient composition among lactating women. Int Breastfeed J. 2020;15:1–10.

  51. Monaco M, Kim J, Donovan S. Human milk: composition and nutritional value. In: Encyclopedia of Food and Health. In: Encyclopedia of Food and Health. Elsevier Inc. 2015. p. 357–62.

    Google Scholar 

  52. Demmelmair H, Koletzko B. Lipids in human milk. Best Pract Res Clin Endocrinol Metab. 2018;32(1):57–68.

    Article  CAS  PubMed  Google Scholar 

  53. da Cunha J, da Costa THM, Ito MK. Influences of maternal dietary intake and suckling on breast milk lipid and fatty acid composition in low-income women from Brasilia. Brazil Early human development. 2005;81(3):303–11.

    Article  PubMed  Google Scholar 

  54. Keikha M, Bahreynian M, Saleki M, Kelishadi R. Macro-and micronutrients of human milk composition: are they related to maternal diet? A comprehensive systematic review Breastfeeding medicine. 2017;12(9):517–27.

    Article  PubMed  Google Scholar 

  55. Peng Y, Zhou T, Wang Q, Liu P, Zhang T, Zetterström R, Strandvik B. Fatty acid composition of diet, cord blood and breast milk in Chinese mothers with different dietary habits. Prostaglandins Leukot Essent Fatty Acids. 2009;81(5–6):325–30.

    Article  CAS  PubMed  Google Scholar 

  56. Innis SM, Kuhnlein HV. Long-chain n-3 fatty acids in breast milk of Inuit women consuming traditional foods. Early Human Dev. 1988;18(2–3):185–9.

    Article  CAS  Google Scholar 

  57. Vuori E, Kiuru K, Mäkinen S, Väyrynen P, Kara R, Kuitunen P. Maternal diet and fatty acid pattern of breast milk. Acta Pædiatrica. 1982;71(6):959–63.

    Article  CAS  Google Scholar 

  58. Puchau B, Zulet MÁ, de Echávarri AG, Hermsdorff HHM, Martínez JA. Dietary Total Antioxidant Capacity: A Novel Indicator of Diet Quality in Healthy Young Adults. J Am Coll Nutr. 2009;28(6):648–56.

    Article  PubMed  Google Scholar 

  59. Alberti-Fidanza A, Burini G, Perriello G. Total antioxidant capacity of colostrum, and transitional and mature human milk. J Matern Fetal Neonatal Med. 2002;11(4):275–9.

    Article  CAS  PubMed  Google Scholar 

  60. Zarban A, Toroghi MM, Asli M, Jafari M, Vejdan M, Sharifzadeh G. Effect of vitamin C and E supplementation on total antioxidant content of human breastmilk and infant urine. Breastfeed Med. 2015;10(4):214–7.

    Article  PubMed  Google Scholar 

  61. Ortega R, Andrés P, Martinez R, Lopez-Sobaler A. Vitamin A status during the third trimester of pregnancy in Spanish women: influence on concentrations of vitamin A in breast milk. Am J Clin Nutr. 1997;66(3):564–8.

    Article  CAS  PubMed  Google Scholar 

  62. Ortega RM, López-Sobaler AM, Martínez RM, Andrés P, Quintas ME. Influence of smoking on vitamin E status during the third trimester of pregnancy and on breast-milk tocopherol concentrations in Spanish women. Am J Clin Nutr. 1998;68(3):662–7.

    Article  CAS  PubMed  Google Scholar 

  63. Ortega RM, Quintas ME, Andrés P, Martínez RM, López-Sobaler AM. Ascorbic acid levels in maternal milk: differences with respect to ascorbic acid status during the third trimester of pregnancy. Br J Nutr. 1998;79(5):431–7.

    Article  CAS  PubMed  Google Scholar 

  64. Zarban A, Taheri F, Chahkandi T, Sharifzadeh G, Khorashadizadeh M. Antioxidant and radical scavenging activity of human colostrum, transitional and mature milk. J Clin Biochem Nutr. 2009;45(2):150–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank all the participating mothers who collaborated in line with the research goals of this project.

Funding

This work was supported by Birjand University of Medical Science (BUMS), Iran (5622).

Author information

Authors and Affiliations

Authors

Contributions

A.Z. and A.B designed the study and developed data collection tools. S.K., Z.Kh., and M.Y.H performed material preparation, data collection, and data analysis. M.M and M.N. contributed to developing the study proposal and drafting the manuscript. G.F revised the final version of the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Asghar Zarban or Afsane Bahrami.

Ethics declarations

Ethics approval and consent to participate

All experimental protocols were approved by the ethics committee of Birjand university of medical sciences. Informed consent was signed and obtained from all patients and subjects before initiation of the study. This publication follows the ethical guideline in the declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no conflicts of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Karbasi, S., Mohamadian, M., Naseri, M. et al. The association of maternal food quality score (FQS) with breast milk nutrient content and antioxidant content of infant urine: a cross-sectional study. BMC Pregnancy Childbirth 23, 126 (2023). https://doi.org/10.1186/s12884-023-05400-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12884-023-05400-3

Keywords