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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">fns</journal-id>
      <journal-title-group>
        <journal-title>Food and Nutrition Sciences</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2157-9458</issn>
      <issn pub-type="ppub">2157-944X</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/fns.2026.174027</article-id>
      <article-id pub-id-type="publisher-id">fns-150981</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Biomedical</subject>
          <subject>Life Sciences</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Practice of Exclusive Breastfeeding: A Narrative Review of Its Relevance and Added Value as a Public Health Strategy to Reduce the Double Burden of Malnutrition</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Kabassina</surname>
            <given-names>Marcelle Essoyodou</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8288-1643</contrib-id>
          <name name-style="western">
            <surname>Souho</surname>
            <given-names>Tiatou</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Bomboma</surname>
            <given-names>Damipie</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Aglago</surname>
            <given-names>Elom Kouassivi</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Compaoré</surname>
            <given-names>Ella</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Abli</surname>
            <given-names>Abel Essowéréou</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Amouzou</surname>
            <given-names>Sabiba Kou’santa</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Laboratoire des Sciences Agronomiques et Biologiques Appliquées, Université de Kara, Kara, Togo </aff>
      <aff id="aff2"><label>2</label> Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK </aff>
      <aff id="aff3"><label>3</label> Laboratoire de Biochimie, Biotechnologie, Technologie Alimentaire et Nutrition, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no competing interests.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>27</day>
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <volume>17</volume>
      <issue>04</issue>
      <fpage>375</fpage>
      <lpage>399</lpage>
      <history>
        <date date-type="received">
          <day>03</day>
          <month>03</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>24</day>
          <month>04</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>27</day>
          <month>04</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/fns.2026.174027">https://doi.org/10.4236/fns.2026.174027</self-uri>
      <abstract>
        <p>Among public health guidelines and strategies for optimal children’s growth, exclusive breastfeeding in the first six months occupies a pivotal place. The present review provides an overview of the composition of human breast milk and the relevance of exclusive breastfeeding as a public health tool that can improve children’s health as well as mother’s wellbeing. Analyses encompass nutrients supply to children, children’s immune system setting and maturation, cognitive and psychomotor development, epigenetic regulation, and microbiome establishment. The relevance of exclusive breastfeeding as a public health strategy is discussed before reviewing the level of application of this strategy worldwide. Furthermore, breastfeeding evaluation methods are presented alongside factors associated with exclusive breastfeeding practice.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Exclusive Breastfeeding</kwd>
        <kwd>Human Breast Milk</kwd>
        <kwd>Children under 6 Months</kwd>
        <kwd>Breast Milk Composition</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>One of the most challenging targets to be attained by public health interventions for social development, especially in low- and middle-income countries, is to assure wellbeing to all children and reduce the mortality under five years old [<xref ref-type="bibr" rid="B1">1</xref>]. This objective is considered a priority globally as the development and evolution of any society is contingent on the presence of a healthy human capital. It is now well established that optimal nutrition in the first thousand days is a critical determinant of the health status of children, adolescents, and adults [<xref ref-type="bibr" rid="B2">2</xref>][<xref ref-type="bibr" rid="B3">3</xref>]. Regarding specially the first 6 months of life, existing evidence substantially shows that exclusive breastfeeding confers significant benefits [<xref ref-type="bibr" rid="B4">4</xref>]. Exclusive breastfeeding protects the newborn against several communicable and noncommunicable pathologies and promotes optimal development of organs, growth, cognitive and psychomotor development [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B6">6</xref>].</p>
      <p>The World Health Organization (WHO) recommends exclusive breastfeeding for the first six months, followed by continued breastfeeding up to the age of two years old [<xref ref-type="bibr" rid="B7">7</xref>]. Breastfeeding, especially exclusive breastfeeding for six months, has a significant impact on reducing mortality from the two leading causes of infant death: diarrhea and pneumonia, as well as all-cause mortality [<xref ref-type="bibr" rid="B8">8</xref>]. Despite the efforts of this organization, general observations showed that exclusive breastfeeding for newborns is not followed in the same fashion in all regions as its initiation and duration is multifactorial and associated with factors such as living standards, social and religious considerations. Since the first publication of these recommendations a couple of decades ago, several studies have been carried out on breastfeeding and its effects on the mother and newborn dyads, as well as on approaches to implement and promote its practice. To encourage the practice of exclusive breastfeeding, the WHO, the United Nations Children’s Fund (UNICEF) and ministries of health in several countries have initiated and supported the world breastfeeding week every year since 1992, during the first week of August. </p>
      <p>As key tools in exclusive breastfeeding promotion programs, exclusive breastfeeding evaluation methods underwent several evolutions towards more precise, less invasive and reduced time. In this review, we analyze the relevance and epidemiology of exclusive breastfeeding before critically discussing factors limiting its practice as well as methods to evaluate the practice of exclusive breastfeeding and approached to implement it.</p>
    </sec>
    <sec id="sec2">
      <title>2. Methods</title>
      <p>A literature search was performed using Pubmed and Scopus databases without any specific limitation regarding publication period. Several search syntaxes were used in order to cover the initial purpose of covering the main aspects that are relevant as key factors that can modulate the practice and the outcome of breastfeeding. The following search terms were used independently: “breast milk composition”; “breast milk” AND “nutrient” OR “micronutrient” OR “microRNA” OR “microbiome” OR “hormone”; “breastfeeding” AND “practice” OR “health outcome” OR “evaluation method”.</p>
      <p>No strict restriction regarding study design or population was applied in order to capture a broad range of scientific evidence related to breastfeeding practices and outcomes. Articles were considered eligible if they addressed aspects related to breast milk composition, breastfeeding practices, health outcomes, or methods used to evaluate breastfeeding. Studies published in English or French were considered.</p>
      <p>Articles were included when they provided relevant information, while studies that were clearly unrelated to the topic were excluded after title, abstract, or full-text screening. References in the retained articles were also browsed, allowing additional documents, including reports and working documents from international institutions. The screening and selection process was conducted by at least two team members, and any disagreement regarding the inclusion of a study was resolved through discussion until consensus was reached.</p>
      <p>Collected data were organized and analyzed in order to generate a narrative review. The evidence from the selected publications was synthesized narratively by identifying recurring themes and key findings across studies, which were then integrated to support the interpretation and conclusions of this review. The study was meant to provide a large view and elements to answer the following questions: i) Should breastfeeding-promoting programs be pursued? ii) What is the advantages of breastfeeding? iii) Which method should be used to evaluate the practice of breastfeeding?</p>
    </sec>
    <sec id="sec3">
      <title>3. Results and Discussions</title>
      <sec id="sec3dot1">
        <title>3.1. Content of Human Breast Milk</title>
        <p>Human breast milk (HBM) is a stable emulsion composed of a mixture of water and fat matters. It contains water (87.5%) and several macronutrients, micronutrients and certain bioactive factors [<xref ref-type="bibr" rid="B9">9</xref>]. It is a dynamic food with a composition related to the mother’s nutrition and the time laps from the baby birth. During the breastfeeding period, the milk’s composition varies to adapt to the child’s changing nutritional needs [<xref ref-type="bibr" rid="B10">10</xref>]. It is an important source of energy (670 kcal/l). It contains nutrients and a variety of bioactive factors such as hormones, cytokines, leukocytes, immunoglobulins, lactoferrin, lysozyme, stem cells, human milk oligosaccharides, microbiota, and microRNAs [<xref ref-type="bibr" rid="B11">11</xref>]. Because of its ability to provide optimal nutrient intakes and numerous bioactive factors, breast milk is considered the optimal food for newborns.</p>
        <p>3.1.1. Proteins</p>
        <p>HBM contains 8 to 12 g/L proteins with caseins being the most abundant representing around 40% of all proteins in the milk. This protein content is below the average in other mammals; however, it is perfectly adapted to meet the enzymatic immaturity and specific protein needs of infants [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B13">13</xref>]. Other proteins in HBM encompass various proteins with physiological functions, such as nutrition, antibacterial properties, immune system regulation, and promotion of digestion and nutrients absorption [<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B15">15</xref>]. Additionally, it contains specific proteins, including lactoferrin (which facilitates iron absorption and immune system function) and lysozymes. Furthermore, HBM contains vitamin and hormone transporters, enzymes, immunoglobulins (especially IgA) and other proteins that provide immune protection or stimulate the child’s immune system [<xref ref-type="bibr" rid="B16">16</xref>].</p>
        <p>The bioactive proteins in breast milk play a role in digestion and nutrient absorption, but they also have enzymatic activities, facilitate the growth of many tissues and help infants reaction against pathogens [<xref ref-type="bibr" rid="B17">17</xref>]. Immunological factors include antibodies such as IgA, cytokines and immune cells (lymphocytes, leukocytes, neutrophils, etc) as well as antimicrobial proteins and peptides like lactoferrin and lysozymes [<xref ref-type="bibr" rid="B18">18</xref>].</p>
        <p>3.1.2. Carbohydrates</p>
        <p>Principal carbohydrates recorded in HBM are oligosaccharides and monosaccharides. The most abundant carbohydrate is lactose which is present at concentrations around 63 g/L whereas the whole carbohydrates content is around 75 g/L. Apart from lactose, the other carbohydrates are D-glucose, D-galactose, N-acetylglucosamine, L-fucose, and sialic acid [<xref ref-type="bibr" rid="B19">19</xref>]. Other oligosaccharides observed in the milk presents the particularity of having a lactose motif at their reducing end [<xref ref-type="bibr" rid="B20">20</xref>].</p>
        <p>Human milk carbohydrates are well known for their role of energetic nutrients however, several functional activities of milk have been reported to be attributable to milk oligosaccharides. These oligosaccharides are likely prebiotic factors that promotes the proliferation of probiotic bacteria such as <italic>Bifidobacterium</italic> in the gastrointestinal tract of breastfed infants [<xref ref-type="bibr" rid="B20">20</xref>][<xref ref-type="bibr" rid="B21">21</xref>]. In addition, they might confer to breastfed infants a passive protection regarding some pathogens. Indeed, by interfering in the process of pathogenic bacteria adherence with intestinal mucosa, they provide a nonspecific protection given that bacterial adherence is a necessary step in gastrointestinal infections with bacteria such as <italic>Escherichia coli</italic>, <italic>Helicobacter</italic><italic>jejuni</italic>, <italic>Shigella</italic> strains, <italic>Salmonella</italic> species, <italic>Vibrio cholerae</italic>[<xref ref-type="bibr" rid="B22">22</xref>][<xref ref-type="bibr" rid="B23">23</xref>]. Moreover, the HBM’s oligosaccharides might have a systemic effect in addition to their local activity in the gut. This implies that these oligosaccharides are assimilated. In effect, several evidence show that these oligosaccharides play an important role in the postnatal brain development [<xref ref-type="bibr" rid="B24">24</xref>].</p>
        <p>3.1.3. Lipids</p>
        <p>Lipids in the milk constitute the highest source of energy in the milk contributing to ranges from 40 to 55 % of the milk’s total energy [<xref ref-type="bibr" rid="B25">25</xref>]. Structurally, triglycerides are the most abundant lipids in the milk where free fatty acids, monoglycerides, diglycerides, phospholipids and cholesterol are also observed. These fat matters are grouped in lipidic globules with glycerides in the center and phospholipids at the surface stabilizing interactions with the aqueous phase of the milk [<xref ref-type="bibr" rid="B26">26</xref>][<xref ref-type="bibr" rid="B27">27</xref>].</p>
        <p>The fat composition of HBM is diverse. Breast milk contains polyunsaturated fatty acids (PUFAs), essential fatty acids (EFAs), particularly linoleic acid and alpha-linolenic acid of the Omega 6 and Omega 3 families, respectively [<xref ref-type="bibr" rid="B28">28</xref>]. It also contains longer-chain polyunsaturated fatty acids , including arachidonic acid and docosahexaenoic acid [<xref ref-type="bibr" rid="B29">29</xref>]. Short chain fatty acids also are present in the milk and present the advantage of providing energy to breastfed infants and help in maturating gastrointestinal tract. Additionally, although in small amounts, sphingomyelins are present in breast milk and seem to play a crucial role in the development of infants nervus system [<xref ref-type="bibr" rid="B30">30</xref>]. The average quantity of lipids in a liter of breast milk is estimated to be 35 grams. Additionally, HBM also contains a considerable amount of cholesterol, with levels ranging from 150 to 200 mg/L [<xref ref-type="bibr" rid="B31">31</xref>][<xref ref-type="bibr" rid="B32">32</xref>].</p>
        <p>3.1.4. Micronutrients</p>
        <p>A significant proportion of HBM is composed of micronutrients essential for normal infant growth. Minerals in breast milk include sodium, calcium, magnesium, chloride, potassium, iron, zinc, chromium, manganese, copper, phosphorus, selenium, and iodine [<xref ref-type="bibr" rid="B33">33</xref>]. The most abundant mineral in both colostrum and mature milk is chloride (600 to 800 mg/Lin colostrum and 400 to 450 mg/L in mature milk) followed by potassium (600 to 800 mg/L in colostrum and 400 to 550 mg/L in mature milk) and sodium (300 to 400 mg/L in colostrum and 150 to 250 mg/L in mature milk). Calcium and phosphorus, key elements necessary for bones formation, are important minerals in both colostrum and mature HBM [<xref ref-type="bibr" rid="B34">34</xref>][<xref ref-type="bibr" rid="B35">35</xref>].</p>
        <p>Minerals are required for many vital metabolic pathways including the building and maintenance of strong bones and teeth, the production of hematopoietic cells, the regulation of immune and nervous systems, muscles contraction, and the protection of cells from oxidative damages [<xref ref-type="bibr" rid="B36">36</xref>]. More information on milk’s mineral composition including microelements such as manganese, iodine, selenium, copper and zinc is presented in the literature [<xref ref-type="bibr" rid="B34">34</xref>][<xref ref-type="bibr" rid="B35">35</xref>].</p>
        <p>HBM can adequately provide all vitamins requirements, provided that the mother’s diet is balanced [<xref ref-type="bibr" rid="B29">29</xref>][<xref ref-type="bibr" rid="B37">37</xref>][<xref ref-type="bibr" rid="B38">38</xref>]. However, the most commonly abundant vitamins as presented in several studies include vitamins A, B1, B2, B6, B12, C, D, E, and K (<bold>Table 1</bold>).</p>
        <p>Table 1. Human breast milk’s content in vitamins (per 100 mL).</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Vitamin</bold>
                </td>
                <td>
                  <bold>Concentration</bold>
                </td>
              </tr>
              <tr>
                <td>Vitamin A</td>
                <td>40 - 65 µg</td>
              </tr>
              <tr>
                <td>Vitamin D</td>
                <td>0.2 - 0.6 µg (8 - 24 IU)</td>
              </tr>
              <tr>
                <td>Vitamin E</td>
                <td>0.2 - 0.4 mg</td>
              </tr>
              <tr>
                <td>Vitamin K</td>
                <td>1.5 µg</td>
              </tr>
              <tr>
                <td>Vitamin C</td>
                <td>3 - 10 mg</td>
              </tr>
              <tr>
                <td>Vitamin B1 (Thiamine)</td>
                <td>14 µg</td>
              </tr>
              <tr>
                <td>Vitamin B2 (Riboflavin)</td>
                <td>40 µg</td>
              </tr>
              <tr>
                <td>Vitamin B3 (Niacin)</td>
                <td>160 µg</td>
              </tr>
              <tr>
                <td>Vitamin B5 (Pantothenic Acid)</td>
                <td>220 µg</td>
              </tr>
              <tr>
                <td>Vitamin B6 (Pyridoxine)</td>
                <td>12 µg</td>
              </tr>
              <tr>
                <td>Vitamin B7 (Biotin)</td>
                <td>8 - 10 µg</td>
              </tr>
              <tr>
                <td>Vitamin B9 (Folate)</td>
                <td>38 - 54 ng</td>
              </tr>
              <tr>
                <td>Vitamin B12 (Cobalamin)</td>
                <td>0.1 - 0.5 µg</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>3.1.5. Hormones and Growth Factors</p>
        <p>Among the most extensively studied bioactive components, milk hormones occupy a central position. Several studies have detected the presence of various hormones in HBM, including leptin, adiponectin, gonadotropin-releasing hormone (GnRH), insulin, estrogen, androgens, gastrin, progesterone, resistin, ghrelin and Insulin-like Growth Factor 1 [<xref ref-type="bibr" rid="B39">39</xref>][<xref ref-type="bibr" rid="B40">40</xref>]. The precise functions of these hormones remain to be fully elucidated; however, it is postulated that they play a role in various developmental and growth processes, offering protection to infants against certain diseases including obesity [<xref ref-type="bibr" rid="B40">40</xref>]-[<xref ref-type="bibr" rid="B43">43</xref>]. </p>
        <p>Leptin, a hormone secreted by adipocytes, was detected in human milk and proven to play several roles in infants’ metabolic regulations. It is involved in the regulation of infant’s food intake, energetic metabolism, fat accumulation and body composition from the earliest stages of development [<xref ref-type="bibr" rid="B43">43</xref>]-[<xref ref-type="bibr" rid="B45">45</xref>]. Recent studies have indicated that leptin, in interaction with other adipokines such as adiponectin, may play a role in the long-term metabolic programming and reprogramming of the newborn [<xref ref-type="bibr" rid="B42">42</xref>][<xref ref-type="bibr" rid="B46">46</xref>]. Adiponectin is the most abundant adipose-specific protein, discovered in breast milk, and its multiple functions have only recently begun to emerge [<xref ref-type="bibr" rid="B47">47</xref>]. Ghrelin, another orexigenic hormone observed in breast milk has been shown to stimulate the secretion of growth hormone, increase appetite, and play a role in the regulation of body weight in newborns. it also plays a role in decreasing fat utilization and increasing adipose reserves, thus promoting normal infant growth [<xref ref-type="bibr" rid="B48">48</xref>][<xref ref-type="bibr" rid="B49">49</xref>].</p>
        <p>The insulin resistance associated hormone, resistin was found in human milk but its role in infants’ metabolism is not well understood [<xref ref-type="bibr" rid="B50">50</xref>]. However, the umbilical serum resistin levels correlate positively with maternal serum resistin levels and negatively with neonatal birth weight [<xref ref-type="bibr" rid="B51">51</xref>]. This suggests that resistin may have a role in the control of fetal growth and may be involved in the regulation of appetite and the metabolic development of infants [<xref ref-type="bibr" rid="B41">41</xref>]. Insulin-like Growth Factor I (IGF-I), a polypeptide primarily produced by the liver, acts as the main mediator of growth hormone activity. Studies have identified growth factors in human milk, suggesting a potential role in promoting cell proliferation [<xref ref-type="bibr" rid="B52">52</xref>]. Additionally, IGF-binding proteins (IGFBPs) have been detected in the breast milk of both term and preterm infants [<xref ref-type="bibr" rid="B53">53</xref>]. The origin and function of obestatin, a peptide found in breast milk, are unclear, although it may influence appetite, gastrointestinal motility and neurobehavioral processes such as memory, sleep and anxiety [<xref ref-type="bibr" rid="B41">41</xref>]. Growth factors present in human milk play a critical role in facilitating the maturation of the intestinal mucosal barrier, providing both growth-promoting and protective effects to the immature neonatal gastrointestinal tract. In particular, vascular endothelial growth factor (VEGF), hepatic growth factor (HGF), and epidermal growth factor (EGF) are important contributors [<xref ref-type="bibr" rid="B29">29</xref>][<xref ref-type="bibr" rid="B54">54</xref>].</p>
        <p>In summary, hormones, growth factors, and metabolites present in breast milk interact to form a complex functional network, impacting the infant’s overall development beyond the nutritional aspects alone. Nevertheless, despite substantial progress in the characterization of these compounds, their precise mechanisms of action and long-term effects remain largely unresolved.</p>
        <p>3.1.6. Microbes in Human Breast Milk</p>
        <p>HBM has long been considered sterile, but recent studies have shown that it is a rich source of microbes that can have an impact on infants’ health [<xref ref-type="bibr" rid="B55">55</xref>]. Microbes observed in the milk are mostly composed of mother’s skin commensal flora elements, mother’s digestive tract’s bacteria and microbes of the child’s mouth. They may also derive from the maternal mucosa-associated lymphoid tissue through a specialized homing mechanism. In this process, dendritic cells and macrophages are thought to transport microbes from the mother’s mucosal surfaces to the lactating mammary gland. This microbiome is dynamic and factors implied in its composition are still not well understood. Some evidence suggests that lactation stage, mother’s body mass index, mother’s diet, and mother’s antibiotic use play an important role in the modulation of milk microbiome [<xref ref-type="bibr" rid="B56">56</xref>]. Microbes in human milk play an important role in regulating cytokine production in the enteric nervous system and maintaining mucosal immune function in the infant [<xref ref-type="bibr" rid="B55">55</xref>][<xref ref-type="bibr" rid="B57">57</xref>].</p>
        <p>Given the major contribution of the mother’s milk microbiome in the establishment of the child’s gastrointestinal microbiome and its modulating effect on the child’s immune system, it is determinant to avoid the disruption of milk microbiome that could alter the microbial balance, especially during the first 100 days of life [<xref ref-type="bibr" rid="B55">55</xref>]. However, it is important to take into consideration, the fact that pathogens can be transmitted from the mother to the child through breastfeeding. Indeed, viruses like human immunodeficiency virus, human papillomaviruses, Epstein Barr virus, cytomegalovirus, Human T-lymphotropic virus type 1, and Ebolavirus are pathogens that can be vertically transmitted from mothers to their breastfed children [<xref ref-type="bibr" rid="B58">58</xref>]-[<xref ref-type="bibr" rid="B60">60</xref>]. It is therefore recommended to stop breastfeeding when these pathogens are diagnosed. </p>
        <p>However, recommendations regarding breastfeeding differ depending on the type of infection, maternal treatment, and clinical context, and should be guided by international guidelines and a careful assessment of risks and benefits [<xref ref-type="bibr" rid="B6">6</xref>][<xref ref-type="bibr" rid="B61">61</xref>][<xref ref-type="bibr" rid="B62">62</xref>].</p>
        <p>3.1.7. MicroRNAs in Human Breast Milk</p>
        <p>Epigenetic phenomena perform in a filigree manner a governance activity supervising a very wide range of metabolic reactions through mechanisms including histone modifications (acetylation, phosphorylation, methylation, and ubiquitylation), DNA folding, DNA methylation, acetylation, non-coding RNA such as microRNAs, etc… The epigenome is established early before birth, but it is regulated throughout the whole life with modifications and adaptations related to the age and the environment [<xref ref-type="bibr" rid="B63">63</xref>].</p>
        <p>It appears that infants’ epigenetic reactions could be influenced and potentially modulated or regulated through HBM. One of the most documented pathways of infant’s epigenetics regulation is through microRNAs that have been shown to be present in an abundant amount in breast milk [<xref ref-type="bibr" rid="B64">64</xref>]. Despite the fact that these microRNAs are exogenous to the infant, it is hypothesized that these small oligonucleotides may be absorbed by the infant’s cells given that microRNAs are well known to be transferable from one cell to another in cell-to-cell communications or delivered through exosomes [<xref ref-type="bibr" rid="B65">65</xref>]. It is therefore possible that these microRNA observed in the milk may be absorbed by infant’s cells and may exert their posttranscriptional regulation effect. However, direct evidence of their functional uptake and epigenetic effects in human infants remains limited [<xref ref-type="bibr" rid="B66">66</xref>]. It has been shown that the microRNA composition in the milk depends on several factors including mother’s diet, maternal age, race, parity, mother’s metabolic condition such as body mass index, gestational diabetes [<xref ref-type="bibr" rid="B67">67</xref>]. Overall, it is suggested that breast feeding may be also a way for the mother to transmit her epigenomic reactions to the infant.</p>
        <p>The precise role of these breast milk containing microRNAs are not well known but it is established that they may play an essential role in the maturation of the immune system in infants, may protect against several pathogens by inhibiting their replication and also may help in shaping intestinal epithelial cells [<xref ref-type="bibr" rid="B35">35</xref>][<xref ref-type="bibr" rid="B68">68</xref>]. In addition, some miRNAs may play a role in remodeling immune responses against microbial infections [<xref ref-type="bibr" rid="B69">69</xref>]. There is increasing interest in their potential ability to be transferred to offspring, as well as their specific involvement in the benefits of breast milk in the infant [<xref ref-type="bibr" rid="B70">70</xref>][<xref ref-type="bibr" rid="B71">71</xref>]. </p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Dynamics in the Composition of Breast Milk</title>
        <p>With its unique composition of nutritional elements, immune and anti-infective factors, and enzymes, HBM covers the crucial developmental needs of early life [<xref ref-type="bibr" rid="B26">26</xref>]. Colostrum is the initial milk secreted by the mammary glands immediately after delivery, and is distinct in appearance, composition, and volume. The first days postpartum, colostrum appears typically thick with a yellow hue and is produced in low quantities [<xref ref-type="bibr" rid="B72">72</xref>]. Colostrum is recognized for its role in building up and strengthening the immune system of the newborn. In addition to its rich content in energy, minerals and vitamins, colostrum contains several antibodies. Colostrum also contains a substantial quantity of proteins, directly assimilable sugars (oligosaccharides), vitamins, minerals, and amino acids [<xref ref-type="bibr" rid="B72">72</xref>][<xref ref-type="bibr" rid="B73">73</xref>]. Following this initial period, the secretory activation phase ensues, which is characterized by a “milk rush”. This results in the mammary glands producing milk in greater volume [<xref ref-type="bibr" rid="B74">74</xref>]. This transitional milk, which is white-orange in color and less dense, is particularly rich in sugars and fats. It is considered that maternal milk is fully mature around one month after delivery [<xref ref-type="bibr" rid="B75">75</xref>]. This milk is designated as mature due to its relatively stable composition at this stage, despite continued influence from various parameters [<xref ref-type="bibr" rid="B74">74</xref>]. As the infant develops, the volume of milk produced continues to increase. Its composition then corresponds to the infant’s age and needs. The quantity and quality of breast milk vary according to the mother’s daily diet [<xref ref-type="bibr" rid="B76">76</xref>]. Despite the variability in composition, breast milk remains an optimal source of nutrition for infants, providing the nutrients and protective factors necessary for their growth and development.</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Effect of Breastfeeding on Infants and Maternal Health</title>
        <p>Newborns are recommended to be breastfed within one hour after birth and be exclusively breastfed for the first six months of life. Exclusive breastfeeding means that infants receive only breast milk, without any additional food or liquid, including water [<xref ref-type="bibr" rid="B7">7</xref>][<xref ref-type="bibr" rid="B77">77</xref>]. It is now well documented that the consumption of water, herbal teas, porridges, and solid foods by infants under 6 months carries an elevated risk of diarrhea morbidity and mortality [<xref ref-type="bibr" rid="B78">78</xref>]. Globally, enhanced breastfeeding practices could prevent deaths of thousands of children annually, with over half of these deaths occurring in infants under six months of age [<xref ref-type="bibr" rid="B79">79</xref>].</p>
        <p>Apart from being advantageous to infants’ wellbeing, exclusive breastfeeding has many benefits for the physical and emotional health of mothers as it strengthens the mother—child emotional bonds, and helps mothers to recover and prevent bleeding [<xref ref-type="bibr" rid="B80">80</xref>][<xref ref-type="bibr" rid="B81">81</xref>]. Furthermore, it delays the resume of menstrual cycle, improves uterine involution, reduces the risk of postpartum depression by regulating cortisol circadian rhythms, and reduces the risk of breast and ovarian cancers [<xref ref-type="bibr" rid="B82">82</xref>]-[<xref ref-type="bibr" rid="B85">85</xref>]. Moreover, research has demonstrated that mothers who choose to breastfeed tend to lose more weight and present reduced risk of type 2 diabetes, cardiovascular diseases, and metabolic syndrome [<xref ref-type="bibr" rid="B86">86</xref>][<xref ref-type="bibr" rid="B87">87</xref>].</p>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Breastfeeding and the Double Burden of Malnutrition</title>
        <p>Exclusive breastfeeding (EBF) is increasingly recognized as a key early childhood intervention to address the double burden of malnutrition (DBM), defined as the coexistence of undernutrition, micronutrient deficiencies and overweight/obesity over the life course. These different forms of malnutrition are interconnected by complex mechanisms operating throughout the life cycle, from infancy to adulthood [<xref ref-type="bibr" rid="B88">88</xref>].</p>
        <p>EBF significantly reduces the incidence and severity of infections, particularly diarrheal and respiratory diseases, through the transfer of immunoglobulins, human milk oligosaccharides, and other bioactive factors. This protection reduces nutritional losses, preserves the integrity of the intestinal mucosa, and improves nutrient absorption, thereby breaking the vicious cycle of infection-malnutrition, the primary determinant of stunting and micronutrient deficiencies [<xref ref-type="bibr" rid="B89">89</xref>]. Exclusive breastfeeding also plays a key role in metabolic programming. With its specific composition and bioactive factors, breast milk modulates insulin sensitivity, adipocyte differentiation, and satiety signals. These mechanisms are particularly important in contexts where early undernutrition is followed by exposure to high-calorie diets, leading to the emergence of the double burden of malnutrition [<xref ref-type="bibr" rid="B88">88</xref>]. Meta-analyses conducted in this context show that exclusive breastfeeding and its duration are associated with a significant reduction in the risk of overweight and obesity in children [<xref ref-type="bibr" rid="B90">90</xref>][<xref ref-type="bibr" rid="B91">91</xref>]. Exclusive breastfeeding influences later eating habits as well as behavioral regulation of energy intake. Breastfed infants are more likely to develop the ability to self-regulate hunger and satiety than bottle-fed infants, who are at higher risk of overeating. Furthermore, exclusive breastfeeding is associated with a more appropriate introduction of complementary foods, both in terms of timing and nutritional quality, which limits early exposure to ultra-processed and energy-dense foods. Longitudinal studies also indicate that exclusive breastfeeding for at least the first six months is associated with a reduced risk of overweight and obesity through adolescence and into early adulthood [<xref ref-type="bibr" rid="B92">92</xref>]. Furthermore, recent data suggest that suboptimal infant feeding practices may simultaneously increase the risk of undernutrition and overweight, thereby illustrating the central role of nutrition during the first 1,000 days of life in the development of DBM. For example, cohort studies have shown that not breastfeeding is associated with an increased risk of underweight and obesity during early childhood [<xref ref-type="bibr" rid="B93">93</xref>]. </p>
      </sec>
      <sec id="sec3dot5">
        <title>3.5. Epidemiology of Exclusive Breastfeeding</title>
        <p>Breastfeeding can take many forms, depending on medical indications, the mother’s personal preferences or contextual constraints (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Although exclusive breastfeeding is recommended as the optimal feeding standard for infants under 6 months, its practice varies considerably around the world and constitutes a complex area of study due to multiple factors that can modulate its practice.</p>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/2704332-rId15.jpeg?20260427045832" />
        </fig>
        <p>Figure 1. Type of breastfeeding.</p>
        <p>At the global level, exclusive breastfeeding for infants under 6 months of age is practiced in ranges around 48% with low- and middle income countries showing the highest levels [<xref ref-type="bibr" rid="B94">94</xref>]. Variations in exclusive breastfeeding rates can be attributed to cultural, socioeconomic, educational, and health practices factors. <bold>Table 2</bold> shows the rates of exclusive breastfeeding practice in 202 countries [<xref ref-type="bibr" rid="B95">95</xref>].</p>
        <p>Table 2. Prevalence of exclusive breastfeeding in 2025 around the world.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Continents</bold>
                </td>
                <td>
                  <bold>Countries</bold>
                </td>
                <td>
                  <bold>Study Year</bold>
                </td>
                <td>
                  <bold>EBF</bold>
                  <bold>Rate (%)</bold>
                </td>
                <td>
                  <bold>Evaluation Method</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="33">AFRICA</td>
                <td>Algeria</td>
                <td>2019</td>
                <td>28.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Angola</td>
                <td>2015</td>
                <td>37.4</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Benin</td>
                <td>2018</td>
                <td>41.4</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Botswana</td>
                <td>2017</td>
                <td>30</td>
                <td>Other</td>
              </tr>
              <tr>
                <td>Burkina Faso</td>
                <td>2021</td>
                <td>51.3</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Burundi</td>
                <td>2022</td>
                <td>85</td>
                <td>SMART</td>
              </tr>
              <tr>
                <td>Cabo Verde</td>
                <td>2018</td>
                <td>41.8</td>
                <td>DHS-Style</td>
              </tr>
              <tr>
                <td>Cameroon</td>
                <td>2018</td>
                <td>39.4</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Central African Republic</td>
                <td>2019</td>
                <td>36.2</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Chad</td>
                <td>2022</td>
                <td>7.4</td>
                <td>SMART</td>
              </tr>
              <tr>
                <td>Comoros</td>
                <td>2022</td>
                <td>22.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Congo</td>
                <td>2014</td>
                <td>32.9</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Cote d’Ivoire</td>
                <td>2021</td>
                <td>34</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Democratic Republic of the Congo</td>
                <td>2023</td>
                <td>52.5</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Djibouti</td>
                <td>2012</td>
                <td>12.4</td>
                <td>PAPFAM</td>
              </tr>
              <tr>
                <td>Egypt</td>
                <td>2021</td>
                <td>40.2</td>
                <td>DHS-Style</td>
              </tr>
              <tr>
                <td>Equatorial Guinea</td>
                <td>2011</td>
                <td>7.4</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Eritrea</td>
                <td>2010</td>
                <td>68.7</td>
                <td>Other</td>
              </tr>
              <tr>
                <td>Eswatini</td>
                <td>2021</td>
                <td>54</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Ethiopia</td>
                <td>2019</td>
                <td>58.8</td>
                <td>IDHS</td>
              </tr>
              <tr>
                <td>Gabon</td>
                <td>2020</td>
                <td>19.4</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Gambia</td>
                <td>2020</td>
                <td>53.6</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Ghana</td>
                <td>2022</td>
                <td>52.6</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Guinea</td>
                <td>2022</td>
                <td>43.7</td>
                <td>SMART</td>
              </tr>
              <tr>
                <td>Guinea-Bissau</td>
                <td>2019</td>
                <td>59.3</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Kenya</td>
                <td>2022</td>
                <td>59.7</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Lesotho</td>
                <td>2024</td>
                <td>60.7</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Liberia</td>
                <td>2019</td>
                <td>55.2</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Madagascar</td>
                <td>2021</td>
                <td>54.4</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Malawi</td>
                <td>2020</td>
                <td>64.1</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Mali</td>
                <td>2024</td>
                <td>40.3</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Mauritania</td>
                <td>2020</td>
                <td>40.9</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Morocco</td>
                <td>2017</td>
                <td>35</td>
                <td>PAPFAM</td>
              </tr>
              <tr>
                <td rowspan="17">AFRICA</td>
                <td>Mozambique</td>
                <td>2022</td>
                <td>55.5</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Namibia</td>
                <td>2013</td>
                <td>48.3</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Niger</td>
                <td>2022</td>
                <td>24.5</td>
                <td>SMART</td>
              </tr>
              <tr>
                <td>Nigeria</td>
                <td>2024</td>
                <td>28.8</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Rwanda</td>
                <td>2020</td>
                <td>80.9</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Sao Tome and Principe</td>
                <td>2019</td>
                <td>63.1</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Senegal</td>
                <td>2023</td>
                <td>34.4</td>
                <td>CDHS</td>
              </tr>
              <tr>
                <td>Sierra Leone</td>
                <td>2021</td>
                <td>50.9</td>
                <td>SMART</td>
              </tr>
              <tr>
                <td>Somalia</td>
                <td>2018</td>
                <td>33.7</td>
                <td>DHS-Style</td>
              </tr>
              <tr>
                <td>South Africa</td>
                <td>2016</td>
                <td>31.6</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>South Sudan</td>
                <td>2010</td>
                <td>44.5</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Sudan</td>
                <td>2014</td>
                <td>54.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Togo</td>
                <td>2017</td>
                <td>64.3</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Tunisia</td>
                <td>2018</td>
                <td>13.5</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Uganda</td>
                <td>2016</td>
                <td>65.5</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Zambia</td>
                <td>2024</td>
                <td>64.1</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Zimbabwe</td>
                <td>2024</td>
                <td>42.4</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td rowspan="20">ASIA</td>
                <td>Afghanistan</td>
                <td>2022</td>
                <td>63.3</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Armenia</td>
                <td>2016</td>
                <td>44.5</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Azerbaijan</td>
                <td>2023</td>
                <td>18.4</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Bangladesh</td>
                <td>2022</td>
                <td>53.3</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Bhutan</td>
                <td>2015</td>
                <td>53.2</td>
                <td>NNS</td>
              </tr>
              <tr>
                <td>Cambodia</td>
                <td>2021</td>
                <td>50.3</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>China</td>
                <td>2017</td>
                <td>35.1</td>
                <td>Other</td>
              </tr>
              <tr>
                <td>Democratic People’s Republic of Korea</td>
                <td>2017</td>
                <td>71.4</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Georgia</td>
                <td>2018</td>
                <td>20.4</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>India</td>
                <td>2020</td>
                <td>63.7</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Indonesia</td>
                <td>2017</td>
                <td>50.7</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Iran (Islamic Republic of)</td>
                <td>2017</td>
                <td>47.4</td>
                <td>NNS</td>
              </tr>
              <tr>
                <td>Iraq</td>
                <td>2018</td>
                <td>25.8</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Jordan</td>
                <td>2023</td>
                <td>23.9</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Kazakhstan</td>
                <td>2015</td>
                <td>37.8</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Kyrgyzstan</td>
                <td>2018</td>
                <td>45.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Lao People’s Democratic Republic</td>
                <td>2023</td>
                <td>50.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Lebanon</td>
                <td>2023</td>
                <td>22.7</td>
                <td>NNS</td>
              </tr>
              <tr>
                <td>Malaysia</td>
                <td>2016</td>
                <td>40.3</td>
                <td>Other</td>
              </tr>
              <tr>
                <td>Maldives</td>
                <td>2017</td>
                <td>63</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td rowspan="18">ASIA</td>
                <td>Mongolia</td>
                <td>2023</td>
                <td>51.1</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Myanmar</td>
                <td>2016</td>
                <td>51.2</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Nepal</td>
                <td>2022</td>
                <td>56.4</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Oman</td>
                <td>2017</td>
                <td>23.2</td>
                <td>NNS</td>
              </tr>
              <tr>
                <td>Pakistan</td>
                <td>2018</td>
                <td>47.8</td>
                <td>NNS</td>
              </tr>
              <tr>
                <td>Philippines</td>
                <td>2022</td>
                <td>40.9</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Qatar</td>
                <td>2012</td>
                <td>29.3</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Sri Lanka</td>
                <td>2016</td>
                <td>80.9</td>
                <td>DHS-Style</td>
              </tr>
              <tr>
                <td>State of Palestine</td>
                <td>2020</td>
                <td>38.9</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Syrian Arab Republic</td>
                <td>2019</td>
                <td>28.5</td>
                <td>SMART</td>
              </tr>
              <tr>
                <td>Tajikistan</td>
                <td>2023</td>
                <td>40.8</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Thailand</td>
                <td>2022</td>
                <td>28.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Timor-Leste</td>
                <td>2020</td>
                <td>65</td>
                <td>NNS</td>
              </tr>
              <tr>
                <td>Turkmenistan</td>
                <td>2019</td>
                <td>56.5</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Türkiye</td>
                <td>2018</td>
                <td>40.7</td>
                <td>DHS-Style</td>
              </tr>
              <tr>
                <td>Uzbekistan</td>
                <td>2021</td>
                <td>25.2</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Viet Nam</td>
                <td>2020</td>
                <td>45.4</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Yemen</td>
                <td>2013</td>
                <td>9.7</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td rowspan="10">EUROPE</td>
                <td>Albania</td>
                <td>2017</td>
                <td>36.5</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Belarus</td>
                <td>2019</td>
                <td>21.7</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Bosnia and Herzegovina</td>
                <td>2012</td>
                <td>18.2</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Croatia</td>
                <td>1996</td>
                <td>23.5</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Montenegro</td>
                <td>2018</td>
                <td>19.5</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>North Macedonia</td>
                <td>2019</td>
                <td>27.5</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Republic of Moldova</td>
                <td>2012</td>
                <td>36.4</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Romania</td>
                <td>2004</td>
                <td>15.8</td>
                <td>RHS</td>
              </tr>
              <tr>
                <td>Serbia</td>
                <td>2019</td>
                <td>23.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Ukraine</td>
                <td>2012</td>
                <td>19.7</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td rowspan="9">NORTHERN AMERICA; LATIN AMERICA AND THE CARIBBEAN</td>
                <td>Argentina</td>
                <td>2011</td>
                <td>32</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Barbados</td>
                <td>2012</td>
                <td>19.7</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Belize</td>
                <td>2015</td>
                <td>33.2</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Bolivia (Plurinational State of)</td>
                <td>2016</td>
                <td>55.7</td>
                <td>DHS-Style</td>
              </tr>
              <tr>
                <td>Brazil</td>
                <td>2019</td>
                <td>45.8</td>
                <td>NNS</td>
              </tr>
              <tr>
                <td>Colombia</td>
                <td>2016</td>
                <td>36.7</td>
                <td>NNS</td>
              </tr>
              <tr>
                <td>Costa Rica</td>
                <td>2018</td>
                <td>25.3</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Cuba</td>
                <td>2019</td>
                <td>40.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Dominican Republic</td>
                <td>2019</td>
                <td>15.8</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td rowspan="19">NORTHERN AMERICA; LATIN AMERICA AND THE CARIBBEAN</td>
                <td>Ecuador</td>
                <td>2004</td>
                <td>39.6</td>
                <td>RHS</td>
              </tr>
              <tr>
                <td>El Salvador</td>
                <td>2021</td>
                <td>45.3</td>
                <td>Other</td>
              </tr>
              <tr>
                <td>Guatemala</td>
                <td>2021</td>
                <td>58.5</td>
                <td>NNS</td>
              </tr>
              <tr>
                <td>Guyana</td>
                <td>2019</td>
                <td>28.5</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Haiti</td>
                <td>2017</td>
                <td>39.9</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Honduras</td>
                <td>2019</td>
                <td>30.2</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Jamaica</td>
                <td>2022</td>
                <td>33</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Mexico</td>
                <td>2021</td>
                <td>35.9</td>
                <td>Other</td>
              </tr>
              <tr>
                <td>Nicaragua</td>
                <td>2012</td>
                <td>31.7</td>
                <td>Other</td>
              </tr>
              <tr>
                <td>Panama</td>
                <td>2013</td>
                <td>21.5</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Paraguay</td>
                <td>2016</td>
                <td>29.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Peru</td>
                <td>2023</td>
                <td>70.1</td>
                <td>DHS-Style</td>
              </tr>
              <tr>
                <td>Saint Lucia</td>
                <td>2012</td>
                <td>3.5</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Suriname</td>
                <td>2018</td>
                <td>8.9</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Trinidad and Tobago</td>
                <td>2022</td>
                <td>30.5</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Turks and Caicos Islands</td>
                <td>2020</td>
                <td>-</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>United States</td>
                <td>2018</td>
                <td>25.8</td>
                <td>NHANES</td>
              </tr>
              <tr>
                <td>Uruguay</td>
                <td>2018</td>
                <td>57.7</td>
                <td>Other</td>
              </tr>
              <tr>
                <td>Venezuela (Bolivarian Republic of)</td>
                <td>1998</td>
                <td>7.1</td>
                <td>Other</td>
              </tr>
              <tr>
                <td rowspan="10">OCEANIA</td>
                <td>Fiji</td>
                <td>2021</td>
                <td>42.9</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Kiribati</td>
                <td>2018</td>
                <td>63.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Marshall Islands</td>
                <td>2017</td>
                <td>43.1</td>
                <td>MICS-Style</td>
              </tr>
              <tr>
                <td>Nauru</td>
                <td>2007</td>
                <td>67.2</td>
                <td>DHS-Style</td>
              </tr>
              <tr>
                <td>Papua New Guinea</td>
                <td>2017</td>
                <td>59.7</td>
                <td>DHS</td>
              </tr>
              <tr>
                <td>Samoa</td>
                <td>2019</td>
                <td>51.7</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Solomon Islands</td>
                <td>2015</td>
                <td>76.2</td>
                <td>DHS-Style</td>
              </tr>
              <tr>
                <td>Tonga</td>
                <td>2019</td>
                <td>39.6</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Tuvalu</td>
                <td>2019</td>
                <td>43.8</td>
                <td>MICS</td>
              </tr>
              <tr>
                <td>Vanuatu</td>
                <td>2023</td>
                <td>75.9</td>
                <td>MICS</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot6">
        <title>3.6. Factors Limiting the Practice of Exclusive Breastfeeding</title>
        <p>Despite its numerous advantages, exclusive breastfeeding encounters several obstacles in its applicability. Indeed, number of factors including sociodemographic and individual factors, access to care, beliefs, perceptions, education and social norms can limit mothers in their adoption of exclusive breastfeeding [<xref ref-type="bibr" rid="B96">96</xref>]. One of the most impactful limiting factors is the lack of information about exclusive breastfeeding but the professional obligations lead many mothers to abandon this practice. In addition, several mothers reported their fear to undergo morphological changes such as breast ptosis related to breastfeeding. Mothers who work in public sometimes feel an embarrassment to breastfeed their infants leading them to opt for partial breastfeeding instead. This factor underlines the necessity to provide appropriate space for breastfeeding in public spaces and at work [<xref ref-type="bibr" rid="B97">97</xref>].</p>
        <p>Mothers that do not exclusively breastfeed their infants have also pointed the delay in lactation, the production of insufficient amount of milk, breast pain and abscesses, twin pregnancies as obstacles to breastfeeding [<xref ref-type="bibr" rid="B98">98</xref>]. Availability of milk substitutes in some regions, especially in high-income countries and urban regions in low- and middle-income countries constitute a limiting factor to breastfeeding. Moreover, the use of substitutes is considered as modern in some regions [<xref ref-type="bibr" rid="B99">99</xref>][<xref ref-type="bibr" rid="B100">100</xref>].</p>
        <p>All these mentioned limiting factors show that interventions to improve the level of exclusive breastfeeding practice should take into consideration several aspects of mothers’ life as well as social influence persons in addition to information sessions provided only to mothers</p>
      </sec>
      <sec id="sec3dot7">
        <title>3.7. Methods for Assessing Exclusive Breastfeeding</title>
        <p>The most commonly used method for the assessment of exclusive breastfeeding rates is the 24-hour recall. It consists on questioning mothers about all foods and liquids given to their infants in the previous 24 hours. In these surveys, a child is considered exclusively breastfed only if no food or liquid (including water) other than breast milk was consumed during the recall period [<xref ref-type="bibr" rid="B95">95</xref>]. The questionnaire approach is subject to social desirability bias which can be minimized by using additional evaluations such as anthropometry. Another limitation of the data produced by breastfeeding assessment surveys is the absence of a database on the amount of milk consumed by babies and the nutritional status of mothers. Furthermore, determining the amount of milk consumed by an infant is a methodological challenge. The conventional method for quantifying milk consumption is the differential weighing by measuring the weight of infants before and after each feeding. This method is time-consuming and can disrupt breastfeeding in addition to being an imprecise method of assessing milk intake in infants [<xref ref-type="bibr" rid="B101">101</xref>].</p>
        <p>Evolutions in nuclear sciences allowed the development of a more robust method to measure milk intake. The method is based on the administration of deuterium to the mother and the quantification of the stable isotope tracer in infant’s biologic fluids (saliva or urine). The method relies on the fact that the absorbed deuterium is diluted in the mother’s body water including milk. During breastfeeding, the infant absorbs the deuterium which will also get diluted in the infant’s water compartment so that, quantifying this deuterium in the infant’s saliva or urine provides precise data on the quantity of consumed milk [<xref ref-type="bibr" rid="B102">102</xref>]. After several test studies, this method is now well established as a robust tool for the assessment of daily milk intake [<xref ref-type="bibr" rid="B103">103</xref>][<xref ref-type="bibr" rid="B104">104</xref>]. In addition to providing quantitative data on consumed milk, the isotopic technique can also provide qualitative data on consumed milk. Indeed, it could help obtain data regarding the content of some nutrients as well as some toxic compounds including pesticides or trace elements [<xref ref-type="bibr" rid="B105">105</xref>][<xref ref-type="bibr" rid="B106">106</xref>].</p>
        <p>The isotopic technique does not interfere with the infant’s normal feeding schedule and allows for the estimation of the amount of water consumed by the infant, thus excluding water from sources other than breast milk and the mother’s body composition. Its preciseness makes it the best tool to evaluate implementation programs and confirm the data obtained using the conventional 24 h recall [<xref ref-type="bibr" rid="B107">107</xref>]. It is important to mention that mothers have been shown to significantly overestimate their practice of exclusive breastfeeding whereas the deuterium dilution technique provides more precise data. Furthermore, this technique provides data on mothers’ body composition as well as the influence of the body composition of these mothers on the quantity of breast milk consumed by their infants.</p>
        <p>The availability of the IAIE database on breast milk intake that gathers data from around world obtained using this method increases the relevance of this technique as it allows better epidemiologic studies [<xref ref-type="bibr" rid="B108">108</xref>]. The method presents some limitations especially for its application in large scale studies in low- and middle-income countries where it is difficult to have access to deuterium oxide and equipment for its quantification. Among the two applicable platforms for deuterium quantification, the Fourier transform infrared spectrometry (FTIR) represents the most accessible and easily implementable system in comparison to isotopic mass spectrometry [<xref ref-type="bibr" rid="B109">109</xref>]. Overall, isotopic methods provide accurate results on water consumption from milk and other sources and mother’s body composition. The technique generates a lot of data that can be used to evaluate breastfeeding practice but also the nutritional status of both mother and infant.</p>
        <p>Different methods can be used to assess exclusive breastfeeding (EBF), depending on the objective of the evaluation. The 24-hour recall method is widely used in large-scale surveys and routine surveillance due to its simplicity, low cost and minimal logistical requirements, which make it suitable for population-level monitoring [<xref ref-type="bibr" rid="B110">110</xref>]-[<xref ref-type="bibr" rid="B112">112</xref>]. However, it may overestimate EBF prevalence because it only captures recent feeding practices [<xref ref-type="bibr" rid="B111">111</xref>][<xref ref-type="bibr" rid="B113">113</xref>][<xref ref-type="bibr" rid="B114">114</xref>].</p>
        <p>In contrast, isotopic techniques, such as the deuterium oxide dose-to-mother method, provide a more objective, quantitative assessment of breast milk intake over a defined period and can identify non-breast milk water intake [<xref ref-type="bibr" rid="B112">112</xref>][<xref ref-type="bibr" rid="B115">115</xref>][<xref ref-type="bibr" rid="B116">116</xref>]. These methods are particularly valuable in research settings and program evaluations where precise measurement is required.</p>
        <p>From an operational perspective, the 24-hour recall method requires trained interviewers and standardized questionnaires, whereas isotopic methods require specialized training, controlled dosing procedures, repeated sample collection over several days and access to laboratory infrastructure for isotope analysis [<xref ref-type="bibr" rid="B112">112</xref>][<xref ref-type="bibr" rid="B115">115</xref>]. Therefore, the choice of method should balance accuracy needs with feasibility, resources, and the intended use of the data.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Conclusions</title>
      <p>HBM is a dynamic nutritious food that is formed with the intend to provide infants with all they need for proper development. Given its composition, this milk is not only a source of nutrients for infants, it is also an ideal route by which mothers continue to physiologically take care of their infants by helping in establishing the immune system and initiating epigenetic regulation as well as microbiome functions.</p>
      <p>Given these advantages, exclusive breastfeeding during the first six months after birth is a relevant recommendation and national public health authorities should incorporate it in their priority actions. Exclusive breast feeding should therefore be evaluated regularly in order to shape public health strategies for effective outcomes, at least regarding the health of under five years old infants. This evaluation needs to be precise, non-invasive, cost effective, and minimize bias.</p>
    </sec>
    <sec id="sec5">
      <title>Acknowledgements</title>
      <p>Conception and design of the study: MEK, TS./Acquisition of data: MEK, TS, DB./Data analysis and interpretation: MEK, TS, DB, EKA, EC, AEA, SKA./Article writing: MEK, TS, DB, EKA, EC, AEA, SKA./All authors read and approved the final version of this manuscript.</p>
    </sec>
  </body>
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