Effect of infant's gender and lactation period on biochemical and energy breast milk composition of lactating mothers from Algeria

Khelouf, Naima; Haoud, Khadidja; Meziani, Samira; Fizir, Meriem; Ghomari, Faïza Nawel; Khaled, Meghit Boumédiène; Kadi, Nadjat

doi:10.1016/j.jfca.2022.104889

Cited by 8 publications

(3 citation statements)

References 33 publications

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“…Related conclusions can be found in one systematic review about the effect of gender and the lactation period [57]. The gender of the baby can influence the composition of breast milk, and the human milk adapts to the needs of the baby depending on his age and lactation stage [57].…”

Section: Discussionmentioning

confidence: 86%

Breastfeeding in the First Year of Life: The Situation in Romania in the European Context

Bacalu,

Lazea,

Mirel

et al. 2024

Sustainability

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(1) Background: Exclusive breastfeeding is not only the cornerstone of a child’s healthy development, but it is also the most economical and planet-friendly way to feed an infant. This study aims to assess the current situation regarding breastfeeding in Romania. (2) Method: The authors searched five databases using the search terms “breastfeeding OR lactation” AND Romania. Studies have been limited to those published in English since 2000. In vitro animal studies, case studies, reviews, meta-analyses, book chapters, and guidelines were excluded. (3) Results: 19 studies were included in the final review. For the purpose of this systematic review, studies were subgrouped into studies on attitudes, practices, and behaviors regarding breastfeeding and the composition of human milk. This review demonstrates a slight tendency to increase interest in breastfeeding in Romania in the last years. Interventional studies conducted so far included mainly urban populations with good socioeconomic levels and a high level of education. Studies about the impact of early intervention in maternal education concluded that the level of education is positively correlated with the interest in education regarding breastfeeding. On the other hand, the Romanian population has similar characteristics to the European population in terms of the factors that influence human milk composition. (4) Conclusions: The review underlines strengths and weaknesses of the Romanian situation regarding breastfeeding and makes recommendations for future directions for research and health education.

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Section: Discussionmentioning

confidence: 86%

Breastfeeding in the First Year of Life: The Situation in Romania in the European Context

Bacalu,

Lazea,

Mirel

et al. 2024

Sustainability

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“…Previous studies reported significant sex-based differences in the FA composition of BM; fat content produced for boy infants was significantly higher than for girl infants [ 70 ]. A higher ratio of ARA/DHA in female infants may reduce the risk of food sensitization and atopic dermatitis [ 71 ].…”

Section: Discussionmentioning

confidence: 99%

Effect of Holder Pasteurization, Mode of Delivery, and Infant’s Gender on Fatty Acid Composition of Donor Breast Milk

Vass,

Zhang,

Simon Sarkadi

et al. 2024

Nutrients

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Breast milk (BM) plays a crucial role in providing essential fatty acids (FA) and energy for the growing infant. When the mother’s own BM is not available, nutritional recommendations suggest donor milk (DM) in clinical and home practices. BM was collected from a variety of donor mothers in different lactation stages. Holder pasteurization (HoP) eliminates potential contaminants to ensure safety. FA content of BM samples from the Breast Milk Collection Center of Pécs, Hungary, were analyzed before and after HoP. HoP decreases the level of C6:0, C8:0, C14:1n-5c, C18:1n-9c, C18:3n-6c, C18:3n-3c, and C20:4n-6c in BM, while C14:0, C16:0, C18:1n-9t, C22:0, C22:1n-9c, C24:0, C24:1n-9c, and C22:6n-3c were found in elevated concentration after HoP. We did not detect time-dependent concentration changes in FAs in the first year of lactation. BM produced for girl infants contains higher C20:2n-6c levels. In the BM of mothers who delivered via cesarean section, C12:0, C15:0, C16:0, C17:0, C18:0, C18:1n-9t, C22:1n-9c levels were higher, while C18:2n-6c, C22:0, C24:0, and C22:6n-3c concentrations were lower compared to mothers who gave birth spontaneously. FAs in BM are constant during the first year of lactation. Although HoP modifies the concentration of different FAs, pasteurized DM provides essential FAs to the developing infant. Current data providing information about the FA profile of BM gives origination to supplementation guidelines.

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“…If the p-value ranges from 0.001 to 0.01, there is a high level of significant difference. If the p-value is less than 0.001, there is a very high level of statistically significant difference [76,77]. If the p-values in Table 4 are less than 0.001, there, therefore, is a very high level of statistically significant difference.…”

Section: Multi Regression Equationsmentioning

confidence: 95%

Forecasting Electricity Demand in Turkey Using Optimization and Machine Learning Algorithms

2023

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Medium Neural Networks (MNN), Whale Optimization Algorithm (WAO), and Support Vector Machine (SVM) methods are frequently used in the literature for estimating electricity demand. The objective of this study was to make an estimation of the electricity demand for Turkey’s mainland with the use of mixed methods of MNN, WAO, and SVM. Imports, exports, gross domestic product (GDP), and population data are used based on input data from 1980 to 2019 for mainland Turkey, and the electricity demands up to 2040 are forecasted as an output value. The performance of methods was analyzed using statistical error metrics Root Mean Square Error (RMSE), Mean Absolute Error (MAE), R-squared, and Mean Square Error (MSE). The correlation matrix was utilized to demonstrate the relationship between the actual data and calculated values and the relationship between dependent and independent variables. The p-value and confidence interval analysis of statistical methods was performed to determine which method was more effective. It was observed that the minimum RMSE, MSE, and MAE statistical errors are 5.325 × 10−14, 28.35 × 10−28, and 2.5 × 10−14, respectively. The MNN methods showed the strongest correlation between electricity demand forecasting and real data among all the applications tested.

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Effect of infant's gender and lactation period on biochemical and energy breast milk composition of lactating mothers from Algeria

Cited by 8 publications

References 33 publications

Breastfeeding in the First Year of Life: The Situation in Romania in the European Context

Breastfeeding in the First Year of Life: The Situation in Romania in the European Context

Effect of Holder Pasteurization, Mode of Delivery, and Infant’s Gender on Fatty Acid Composition of Donor Breast Milk

Forecasting Electricity Demand in Turkey Using Optimization and Machine Learning Algorithms

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