ライフサイエンスコーパス: formula-fed

1 a feeding plus 1 month of infant zidovudine (formula fed).

2 from 50 girls (28 soy formula-fed and 22 cow formula-fed).

3 0 infants (36 breastfed, 9 mixed-fed, and 25 formula-fed).

4 ies (17 498 subjects; 12 890 breastfed, 4608 formula-fed).

5 .054) concentrations than did those who were formula fed.

6 dian duration: 7 mo) and 62 were exclusively formula fed.

7 esembles that of infants who are exclusively formula fed.

8 combination feeding, and 6 were exclusively formula fed.

9 e; however, 50-70 % of infants in the US are formula-fed.

10 ing inclusion criteria, 126,907 (66.2%) were formula-fed, 48,473 (25.3%) exclusively breastfed, and 1

11 sulin concentrations than did those who were formula fed (6 studies; 4800 subjects; percentage differ

12 abetes in later life than did those who were formula fed (7 studies; 76 744 subjects; odds ratio: 0.6

13 th and 9 months of age from 50 girls (28 soy formula-fed and 22 cow formula-fed).

14 ificant differences in plasma leptin between formula-fed and breast-fed infants at 1 and 4 mo of age,

15 ly resolve the metabolic differences between formula-fed and breastfed infants, highlighting the comp

16 gnitive development and early growth between formula-fed and breastfed infants.

17 ested differences in methylation between soy formula-fed and cow formula-fed infants at three CpGs in

18 hs for breastfed infants and five months for formula-fed and FA high-risk infants.

19 A methylation in vaginal cells from four soy formula-fed and six cow formula-fed girls from the Infan

20 e expression in epithelial cells between the formula-fed and the breast-fed infants.

21 In formula-fed animals, increases in ileum and jejunum vill

22 IQ in individuals who were breast-fed versus formula-fed as infants, suggest that exogenous DHA (and

23 atory tract infection were more likely to be formula fed, attend day care, and experience wheezing.

24 abies; 1 suggested possible effectiveness in formula-fed babies with colic, and 1 suggested ineffecti

25 ompared growth trajectories in breastfed and formula-fed boys and girls.

26 ere found in urine and saliva samples of soy formula-fed boys compared to cow formula-fed boys.

27 ples of soy formula-fed boys compared to cow formula-fed boys.

28 ignificantly different between breastfed and formula-fed children (nonmetric multidimensional scaling

29 oacuity (high-grade or < 100 s/arc) than did formula-fed children (odds ratio: 2.5; 95% CI: 1.4, 4.5)

30 measured the weight and height of 448 (41%) formula-fed children at 6 y of age.

31 gastroenteritis prevention in chest-fed and formula-fed children.

32 ldren of low-income households, particularly formula-fed children.

33 on beta-diversity metrics were restricted to formula-fed children.

34 eding, insulin was significantly elevated in formula-fed compared with breast-fed infants.

35 were initially breastfed and those who were formula-fed (expressed as breastfed minus bottle-fed), w

36 Formula-fed (FF) infants are at risk for diseases that i

37 Formula-fed (FF) infants exhibit a different metabolic p

38 human milk-fed (HMF) compared with cow milk formula-fed (FF) infants using single-cell transcriptomi

39 ample donor feeding type: breast-fed (BF) or formula-fed (FF), and to rate of 2'-FL fermentation: fas

40 In breastfed (BF, n = 8), formula-fed (FF, n = 7), or mixed feeding (MF, n = 8) in

41 r LH level was found in urine samples of soy formula-fed girls compared to cow formula-fed girls.

42 cells from four soy formula-fed and six cow formula-fed girls from the Infant Feeding and Early Deve

43 les of soy formula-fed girls compared to cow formula-fed girls.

44 at 7 months was significantly higher for the formula-fed group than for the breastfed plus zidovudine

45 infection rates were 5.6% (32 infants in the formula-fed group) vs 9.0% (51 infants in the breastfed

46 In the formula-fed group, children were randomly assigned to re

47 8 points; 95% CI: 0.7, 5.1 points) among the formula-fed group.

48 All formula-fed groups had higher plasma threonine concentra

49 ere lowest for breast-fed infants; among the formula-fed groups the UHT-13 group had the lowest value

50 The difference between randomized formula-fed groups was independent of potential confound

51 y life (eg, birth by cesarean section, being formula-fed, growing up in an urban environment or with

52 Formula-fed hUGT1 mice had lower serum levels of bilirub

53 ally, A. baumannii gut carriage is higher in formula-fed human infants, who generally consume higher

54 For the formula fed infant group the same ratios were 1.20 and 1

55 k samples and 39 infant urine samples, and 5 formula-fed infant-mother pairs who provided 21 formula

56 show a different growth pattern compared to formula fed infants and this can reduce the risk of obes

57 The protein and carbohydrate composition of formula fed infants' diets in the United States (US) has

58 ke by NHBCS infants was 5.5 times higher for formula-fed infants (0.22 mug/kg/day) than for breastfed

59 m ~10 to 80%, with the highest estimated for formula-fed infants (age 0 to <1 year).

60 Breastfed infants acquired CMV earlier than formula-fed infants (median age of acquisition, 4.26 vs

61 Formula-fed infants (n = 1090) were randomly assigned to

62 = 0.001) and was lower in breast-fed than in formula-fed infants (P: = 0.01).

63 ) breastfed infants compared with 19 (18.8%) formula-fed infants (relative risk, 2.37; P = 0.006).

64 Conversely, at 12 mo, fat mass was higher in formula-fed infants [0.29 kg (-0.03, 0.61 kg)] than in b

65 , randomized, controlled trial, healthy term formula-fed infants aged 21-26 d either received an inta

66 The formula-fed infants also had significantly less typical

67 ng glucose and insulin have been reported in formula-fed infants and are associated with higher level

68 s have higher serum levels of bilirubin than formula-fed infants and are at risk for bilirubin-induce

69 tein intake may differ between breastfed and formula-fed infants and by the source of protein.

70 ) arise in early infancy between breast- and formula-fed infants and to describe longitudinal changes

71 DHA supplementation on the visual acuity of formula-fed infants at 12 mo of age.

72 ecal microbiota of 4 breastfed infants and 4 formula-fed infants at 17 consecutive time points during

73 Among formula-fed infants at 2 months, 36% consumed formula en

74 methylation between soy formula-fed and cow formula-fed infants at three CpGs in the gene proline ri

75 ours after their birth, we randomly assigned formula-fed infants born to women with a peripartum diag

76 fferent growth rates and body composition of formula-fed infants compared to breastfed infants.

77 the distinct metabolic profiles observed in formula-fed infants compared with those fed human milk.

78 theses that the acceptance of novel foods by formula-fed infants could be facilitated by providing th

79 In formula-fed infants eating table foods, preferences for

80 Analyses involved data from 8389 formula-fed infants from the ELFE birth cohort.

81 Formula-fed infants gained more lean mass (difference: 3

82 ass (difference: -42 g; 95% CI: -299, 215 g).Formula-fed infants gained weight more rapidly and out o

83 fed and formula-fed infants may differ, with formula-fed infants growing more rapidly than breastfed

84 Formula-fed infants had lower birth-weight z scores than

85 st-fed infants at 1 and 4 mo of age, whereas formula-fed infants had significantly higher ( approxima

86 Formula-fed infants had similar developmental scores to

87 microbial communities between breast-fed and formula-fed infants have been consistently observed and

88 The essential amino acid requirements of formula-fed infants have been reassessed recently, enabl

89 tent of formula needs to be reduced, because formula-fed infants have significantly higher concentrat

90 differences in growth between breastfed and formula-fed infants in such populations do not appear to

91 ifferences in plasma metabolite profiles for formula-fed infants included a rapid increase in circula

92 seen over this period in both breastfed and formula-fed infants is a novel observation, which sugges

93 High intake of cow-milk protein in formula-fed infants is associated with higher weight gai

94 ence in protein intake between breastfed and formula-fed infants is likely to play a role in the diff

95 Growth patterns of breastfed and formula-fed infants may differ, with formula-fed infants

96 in the intestinal microbiota of breastfed vs formula-fed infants or differences in microbial richness

97 that microbiota development of breastfed and formula-fed infants proceeds according to similar develo

98 and pulmonary outcomes between breastfed and formula-fed infants through the age of 2 y.

99 ssue or IHCL accretion between breastfed and formula-fed infants up to 2 mo.

100 Three hundred forty-three healthy, term, formula-fed infants were enrolled at 1-9 d of age and we

101 Fully formula-fed infants were enrolled up to 35 d of age and

102 ention study was conducted where exclusively formula-fed infants were fed formula containing either l

103 load, pregnant HIV-infected women and their formula-fed infants were followed prospectively in Bangk

104 d (aMOR, 0.84; 95% CI, 0.72-0.98; P = .023), formula-fed infants were more likely to be given a parti

105 Fully formula-fed infants were randomly assigned to Concept IM

106 etermine whether MFGM may impact metabolism, formula-fed infants were randomly assigned to receive ei

107 centage) between predominantly breastfed and formula-fed infants, adjusting in linear regression for

108 nd total- (3 and 12 mo) sleep durations than formula-fed infants, albeit a greater number of night aw

109 fed infants have lower arsenic exposure than formula-fed infants, and that both formula powder and dr

110 In formula-fed infants, fat-free mass was higher at 3-4 mo

111 probiotic use to manage colic, especially in formula-fed infants, or to prevent infant crying.

112 After adjusting for potential covariates, formula-fed infants, relative to fully breastfed (predom

113 In formula-fed infants, weight gain during the first week o

114 nfant body composition between breastfed and formula-fed infants, which may reflect future obesity ri

115 omparisons between exclusively breastfed and formula-fed infants, with little consideration given to

116 tant implications for optimizing the diet of formula-fed infants.

117 growth patterns differ between breastfed and formula-fed infants.

118 s in body composition between breast-fed and formula-fed infants.

119 r sex affect plasma leptin in breast-fed and formula-fed infants.

120 ies in health outcomes between breastfed and formula-fed infants.

121 icantly influenced the metabolic profiles of formula-fed infants.

122 al-sleep durations (sleep trajectories) than formula-fed infants.

123 microbiome of breastfed infants compared to formula-fed infants.

124 e long-term risk of overweight or obesity in formula-fed infants.

125 ection was assessed in 138 breastfed and 134 formula-fed infants.

126 stools in well-appearing young breast-fed or formula-fed infants.

127 adipose tissue or IHCL between breastfed and formula-fed infants.

128 role in the difference between breastfed and formula-fed infants.

129 se in partially hydrolyzed formula use among formula-fed infants.

130 cognitive development between breastfed and formula-fed infants.

131 e of three-month-old exclusively breast- and formula-fed infants.

132 al profiles was observed between breast- and formula-fed infants.

133 the percentage of fat mass in breastfed and formula-fed infants.

134 ves the composition of the gut microbiota in formula-fed infants.

135 rations are not higher in breast-fed than in formula-fed infants; however, sex and adiposity affect l

136 e distinct characteristics of breast-fed- or formula-fed- like infant fecal microbiome and metabolome

137 outcome) in previously breastfed (n = 78) or formula-fed (n = 184) children aged 4-6 y who had been f

138 y breastfed (n = 22) and the other, standard formula-fed (n = 49).

139 Formula-fed neonates had higher relative abundances of o

140 rides (HMOs) in urine of breast-fed, but not formula-fed, neonates.

141 o account for ~ 70% of median exposure among formula-fed NHBCS infants.

142 s and grouped into 4 categories: exclusively formula fed or breastfed for <3, 3-6, or >6 mo.

143 fants compared to those who were exclusively formula fed or breastfed with supplementation.

144 arge number of infants are still exclusively formula-fed or rarely breastfed for an extended period o

145 rther stratified by feeding mode; breastfed, formula-fed or received a mixed intake.

146 east-fed (B), term/formula-fed (T-), preterm/formula-fed (P-), and preterm/formula (P+) supplemented

147 p in the sow fed group in comparison to milk formula-fed piglets, whereas in milk formula-fed pigs En

148 to milk formula-fed piglets, whereas in milk formula-fed pigs Enterobacteriaceae spp was 5-fold highe

149 but did not produce an increase in Tregs in formula-fed rats on DOL1.

150 subjects) between those breastfed and those formula-fed (reported as exclusive feeding in 20 studies

151 pment, and health of breastfed children with formula-fed (SF and MF) children from birth through age

152 A cohort of European American formula-fed subjects, measured on 7 occasions during inf

153 rawn from healthy, exclusively breast-fed or formula-fed Swedish infants at 1, 4, and 6 mo of age (n

154 groups: term-delivered/breast-fed (B), term/formula-fed (T-), preterm/formula-fed (P-), and preterm/

155 Between 2 and 6 mo of age, formula-fed term infants have the capacity to upregulate

156 er plasma and brain lipid contents of DHA in formula-fed than in breast-fed infants and reports of hi

157 In formula-fed the lymphoid follicle size (p < 0.01) and ge

158 The type of formula fed to infants has an effect on their response t

159 n rates at 18 months were 80 infants (13.9%, formula fed) vs 86 infants (15.1% breastfed plus zidovud

160 ds consisting of breast milk at both points; formula-fed was defined as >80% of feeds consisting of f

161 cholesterol concentrations (breastfed minus formula-fed) were pooled by using fixed-effect models.