The composition of human milk is dynamic and can vary according to many maternal factors, such as diet and nutritional status. This study investigated the association of maternal nutrition and body composition with human milk composition. All measurements and analyses were done at three time points: during the first (n = 40), third (n = 22), and sixth (n = 15) month of lactation. Human milk was analyzed using the Miris human milk analyzer (HMA), body composition was measured with bioelectrical bioimpedance (BIA) using a Maltron BioScan 920-II, and the assessment of women’s nutrition was based on a three-day dietary record. The correlation coefficient (Pearson’s r) did not show a significant statistical relationship between human milk composition and nutrients in women’s diet at three time points. For women in the third month postpartum, we observed moderate to strong significant correlations (r ranged from 0.47 to 0.64) between total protein content in milk and the majority of body composition measures as follows: positive correlations: % fat mass (r = 0.60; p = 0.003), fat-free mass expressed in kg (r = 0.63; p = 0.001), and muscle mass (r = 0.47; p = 0.027); and negative correlation: % total body water (r = −0.60; p = 0.003). The variance in milk fat content was related to the body mass index (BMI), with a significant positive correlation in the first month postpartum (r = 0.33; p = 0.048). These findings suggest that it is not diet, but rather the maternal body composition that may be associated with the nutritional value of human milk.
Background: Human milk is the optimal nutrition for newborns and infants during the first period of their life -from birth to 6-th month. It contains a uniquely quantitative and qualitative balanced nutrients profile. Composition of breast milk is dynamic and may vary according to maternal nutritional status. Objective: The aim of this study was to investigate associations between human milk composition and maternal nutritional status. Material and methods: One-day milk samples were provided by exclusively breastfeeding mothers (n=40) at the first month of lactation. Protein -total and true, fat, carbohydrate, dry matter and energy content were determined using the Human Milk Analyzer by MIRIS. The anthropometric measurements (current body weight, height) were used to calculate current body mass index (BMI). On this basis, we assessed nutritional status of examined population. Results: For the majority of women (75%, n=30) currently BMI value was in range of 18.5-24.9 kg/m 2 , for the rest of women it was ≥ 25 kg/m 2 . The median macronutrient composition per 100 ml of mature breast milk was 7.0 g for carbohydrate, 1.1 g for protein, 3.5 g for fat, 11.9 for dry matter and energy content was 66.0 kcal. Maternal body mass index was positively related to lipid, dry matter and energy breast milk content (p<0.05). Conclusions:The majority of examined women in the first month of lactation was in normal state of nutrition. For the rest of women BMI values indicated for overweight. Our results confirm correlation between human milk composition and maternal nutritional status, especially in matters of energy value and fat content in human milk. STRESZCZENIEWprowadzenie: Mleko kobiece jest jedynym optymalnym pokarmem dla noworodków i niemowląt od chwili urodzenia do ukończenia 6 miesiąca życia. Unikalność pokarmu kobiecego wynika z idealnie dobranej ilościowo i jakościowo kompozycji składników. Skład mleka kobiecego jest dynamiczny i może się różnić w zależności od stanu odżywienia kobiety karmiącej. Cel: Celem badania była analiza zależności między składem mleka kobiecego a stanem odżywienia kobiety karmiącej piersią. Materiał i metody: Próbki mleka pochodzące z dobowej zbiórki mleka zostały dostarczone przez 40 zdrowych kobiet karmiących dzieci wyłącznie. Badanie prowadzono w pierwszym miesiącu laktacji. W otrzymanym materiale oznaczono zawartość białka całkowitego i białka odżywczego, tłuszczu, węglowodanów, suchej masy oraz wartość energetyczną, używając analizatora składu mleka (HMA MIRIS). Aktualny wskaźnik masy ciała BMI badanej populacji został wyliczony na podstawie dokonanych pomiarów antropometrycznych (masa i wysokość ciała). Na tej podstawie oceniono stan odżywienia matek karmiących piersią uczestniczących w badaniu. Wyniki: Dla 30 kobiet (75%) BMI mieściło się w zakresie 18.5-24.9 kg/m 2 , dla pozostałych (25%) przekraczało 25.0 kg/ m 2 . Mediana zawartości makroskładników w mleku kobiecym wynosiła dla białka -1.1 g/100 ml, dla węglowodanów 7.0 g/100 ml, dla tłuszczu 3.5 g/100 ml, dla suchej masy 11.9 g/100 m...
Aims Obesity is accompanied by the formation of oxygen free radicals, whose intensified activity without effective defense mechanisms can lead to oxidative stress and related complications. We evaluated the presence of oxidative stress in obese prepubertal children. Methods The study included 83 healthy children aged 2–10 years (62 with obesity and 21 nonobese controls). Total oxidant capacity (TOC), total antioxidant capacity (TAC), oxidized low-density lipoprotein (ox-LDL), lipid parameters, glucose, and C-reactive protein (CRP) were measured in serum. Oxidative stress index (OSI) was calculated. Results Serum TOC concentration was significantly higher (p < 0.05) and TAC concentration was lower (p < 0.05) in obese children. OSI was higher (p < 0.01) in obese subjects compared with controls. CRP levels were normal in all children, but median CRP value was higher (p < 0.01) and HDL cholesterol levels were lower (p < 0.05) in the obese group. We found a significant negative correlation between TAC and ox-LDL concentrations (r = −0.27, p < 0.05) in obese children. Furthermore, obesity duration was positively correlated with TOC level (r = 0.32, p < 0.05) in this group. Conclusions Obesity-related oxidative stress already occurs in prepubescence. Early obesity diagnosis and the necessary therapeutic activity implementation is a vital strategy for the prophylaxis of free radical damage and related multiorgan complications.
Obesity during the prepubertal period is associated with an alteration in the adipokines profile and greater whole-body bone mass as a result of increased bone formation rather than reduced bone resorption. Changes in bone metabolism during lifestyle intervention seem to be related to weight loss but not to changes in adipokines. Further studies should elucidate the influence of long-term therapy on bone mass in childhood.
In obese individuals, weight loss might be affected by variants of the adipokine-encoding genes. We verified whether selected functional single nucleotide polymorphisms in LEP, LEPR and ADIPOQ are associated with changes in serum levels of the respective adipokines and weight loss in 100 prepubertal obese (SDS-BMI > 2) Caucasian children undergoing lifestyle intervention. Frequencies of the -2548G > A LEP, Q223R LEPR, K656N LEPR, -11377C > G and -11426A > G ADIPOQ polymorphisms were analyzed by restriction fragment length polymorphism. Serum adipokine and soluble leptin receptor (sOB-R) concentrations were measured using the ELISA method. Among the analyzed polymorphisms, only LEPR polymorphisms were associated with changes of SDS-BMI or sOB-R concentrations in children after therapy. Carriers of the wild-type K665N and at least one minor Q223R allele had the greatest likelihood of losing weight (OR = 5.09, p = 0.006), an increase in sOB-R (ptrend = 0.022) and decrease in SDS-BMI correlated with the decrease of fat mass (p < 0.001). In contrast, carrying of the wild-type Q223R and at least one minor K665N allele were associated with a decrease in sOB-R concentrations and a decrease in SDS-BMI correlated with a decrease in fat-free mass (p = 0.002). We suggest that the combination of different LEPR variants, not a single variant, might determine predisposition to weight loss in the prepubertal period.
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