ライフサイエンスコーパス: body fat percentage

1 ly, divided by height in meters squared] and body fat percentage).

2 ference models), 401 435 (BMI), and 395 640 (body fat percentage).

3 tes: P = .02 for body weight and P = .01 for body fat percentage).

4 g birth measurement (weight, length, BMI, or body fat percentage).

5 ist circumference, and, to a certain extent, body fat percentage.

6 end of association with an increased android body fat percentage.

7 t training may be more effective in reducing body fat percentage.

8 effects on body weight, body mass index, and body fat percentage.

9 ldhood growth velocities in weight, BMI, and body fat percentage.

10 ep duration and change in body mass index or body fat percentage.

11 maller waist circumference and lower BMI and body fat percentage.

12 st circumference, body-mass index (BMI), and body fat percentage.

13 lly significant decreases in body weight and body fat percentage.

14 ely related to age, with a similar trend for body fat percentage.

15 Humans also had the greatest body fat percentage.

16 ed that dietary pulse consumption may reduce body fat percentage.

17 (2) if of Asian ethnicity), and had a raised body fat percentage.

18 , or excess weight and for women with a high body fat percentage.

19 was responsible for 11% of the variance for body fat percentage.

20 oL is reported by MHD patients with a higher body fat percentage.

21 ions between SF36 scores and the BMI and NIR body fat percentage.

22 e muscular, only 8.7% of 824 desired a lower body-fat percentage.

23 ue, and are linked to obesity traits such as body-fat percentage.

24 roups with and without steatosis had similar body fat percentages.

25 [95% CI 0.066, 0.174]; P = 1E-5) and higher body fat percentage (0.301% [0.230, 0.372]; P = 1E-16) c

26 9 +/- 0.2 kg/m2), fat mass (2.0 +/- 0.3 kg), body fat percentage (2.7% +/- 0.4%), and insulin-like gr

27 se in weight (-5.8 vs -1.2 kg; P = .004) and body fat percentage (-2.6% vs -0.9%; P = .03) than the l

28 it had a lower MetScore (-0.6 SD; P = 0.02), body fat percentage (-2.6%; P < 0.001) and visceral adip

29 We found a higher body fat percentage (32 +/- 6 vs. 27 +/- 6%, P = 0.01) a

30 independent genetic variants associated with body fat percentage (388 variants) and BMI (540 variants

31 body mass index (BMI; kg/m2): 32.3 +/- 3.7; body fat percentage: 40.5% +/- 7.9%; fasting glucose: 6.

32 tive predictive value, respectively) or high body fat percentage (48% vs. 53% positive predictive val

33 did not improve the prediction of either low body fat percentage (59% vs. 66% positive predictive val

34 tage of estimates that were <20% of measured body fat percentage, 88.2% vs. 85.7%; P = 0.027) and boy

35 For body fat percentage, a significant increase was observed

36 ols, adults who were born preterm had higher body fat percentages (after adjustment for sex, age, and

37 he Relative Fat Mass (RFM) to estimate whole-body fat percentage among children and adolescents who p

38 We hypothesized that both a low baseline body fat percentage and a loss of fat over time were ind

39 were associated with a lower childhood total-body fat percentage and a lower android:gynoid fat mass

40 However, despite a higher body fat percentage and a similar degree of hepatic and

41 Body fat percentage and activity intensity appear to mod

42 9 years of age were useful to estimate whole-body fat percentage and diagnose body fat-defined overwe

43 A low baseline body fat percentage and fat loss over time are independe

44 Higher PGSs for a measure of body fat percentage and financial difficulties were posi

45 triglycerides, and blood pressure, and lower body fat percentage and HDL cholesterol.

46 ng first study pregnancies despite increased body fat percentage and increased insulin area under the

47 Body fat percentage and lean mass were measured among ad

48 mined the relation between directly measured body fat percentage and lipid concentrations in a repres

49 ivariate genome-wide association study using body fat percentage and metabolic biomarkers from UK Bio

50 metry were all significantly correlated with body fat percentage and resting pulse rate, which are ph

51 The PAQ showed inverse correlations with DLW body fat percentage and resting pulse rate.

52 o-hip ratio) and body fat composition (total body fat percentage and trunk fat percentage) measuremen

53 data with genome-wide association studies of body fat percentage (%) and metabolic traits.

54 ized charts in predicting growth, defined by body fat percentage, and perinatal morbidity.

55 ate their associations with body mass index, body fat percentage, and waist circumference.

56 omes [body mass index (BMI), total fat mass, body fat percentage, and waist circumference] were extra

57 at the chromosome 6 locus marker had higher body fat percentages, and this locus was responsible for

58 ns between each of the body-fat traits (BMI, body-fat percentage, and waist-to-hip ratio, ranging fro

59 rcentage [BF%], fat-free mass [FFM], android body fat percentage [ANDR]), as well as biochemical bloo

60 ere associated with a higher childhood total-body fat percentage, android:gynoid fat mass ratio, and

61 Low BMI and high body fat percentage are independently associated with in

62 ity risk; unlike an adiposity score based on body fat percentage-associated variants (GRS(BFP)).

63 weight or obesity (defined as a DXA-measured body fat percentage at the 85(th) percentile or higher)

64 nd the milk supplement interventions was the body-fat percentage at 4 months of corrected gestational

65 The mean (+/-SD) body-fat percentage at 4 months was similar among the in

66 Best body fat percentages averaged between 12% and 20% for me

67 ary fitness (VO2peak; beta=-0.165, P<0.001), body fat percentage (beta=0.032, P<0.02), resting heart

68 )]) and body composition (fat and lean mass, body fat percentage) between predominantly breastfed and

69 ex (BMI) and body adiposity index (BAI) with body fat percentage (BF%) in a Caucasian, European popul

70 d a genome-wide association meta-analysis of body fat percentage (BF%) in up to 100,716 individuals.

71 t effect of waist-to-height ratio (WHtR) and body fat percentage (BF%) on ischemic cardiovascular dis

72 were 5-year changes in BMI-for-age z-scores, body fat percentage (BF%), and height velocity; explorat

73 ere 12-month changes in body weight (BW) and body fat percentage (BF%).

74 indirect population formulas, we calculated body fat percentage (%BF) and skeletal muscle mass index

75 Body fat percentage (%BF) from the iDXA was approximatel

76 Body composition (body mass [BM], body fat percentage [BF%], fat-free mass [FFM], android

77 sessed via dual-energy x-ray absorptiometry (body fat percentage [BF%], visceral adipose tissue [VAT]

78 the causal effect of body mass index (BMI), body fat percentage (BFP), waist circumference (WC), hip

79 = 0.047), Body Mass Index (BMI; P = 0.044), Body Fat Percentage (BFP; P = 0.001), and Waist Hip Rati

80 7 to -0.45 cm; n = 62 trials, GRADE = high), body fat percentage by 0.37% (95% CI, -0.43% to -0.31%;

81 The combination strategy decreased body-fat percentage by 3.9 percentage points, which was

82 ghed 100% more and had fourfold increases in body fat percentage compared with WT.

83 During the first 4 weeks, body-fat percentage decreased in the SIV-infected macaqu

84 Body weight, body fat percentage determined by dual-energy x-ray abso

85 Change in body weight and body fat percentage did not differ between the diet grou

86 triceps skinfolds, fat mass index (FMI), and body fat percentage estimated using bioelectrical impeda

87 , waist circumference for 20 080 adults, and body fat percentage for 10 864 adults.

88 for 25% of between-individual differences in body fat percentage for the 706 total subjects; adding a

89 locities (in weight, length/height, BMI, and body fat percentage) for 0-3 months, 3-24 months, and 24

90 s between approximately 2.5 million SNPs and body fat percentage from 36,626 individuals and followed

91 raction, P < 0.05), prevented an increase in body fat percentage (group x time interaction, P < 0.05)

92 ned five correlated obesity phenotypes, BMI, body fat percentage, hip and waist circumferences, and p

93 8, 95%CI: 1.31-1.91; Ptrend < 0.0001), total body fat percentage (HR = 1.27, 95%CI: 1.06-1.53; Ptrend

94 [CI, 1.02 to 1.23] for quintile 2) and high body fat percentage (HR, 1.19 [CI, 1.08 to 1.32] for qui

95 [CI, 1.17 to 1.79] for quintile 1) and high body fat percentage (HR, 1.59 [CI, 1.28 to 1.96] for qui

96 heterogeneity in body weight (I(2): 73%) and body fat percentage (I(2): 75%), all other outcomes had

97 There was a decrease in body fat percentage in both sexes, with SCI females disp

98 n muscle strength, muscluar hypertrophy, and body fat percentage in sedentary young women.

99 At baseline and after the intervention, body fat percentage, intrahepatic lipid content, muscle

100 Proteomic indicators of body fat percentage, lean body mass, and visceral fat we

101 main outcome measures were body mass index, body fat percentage, lean body mass, high-density lipopr

102 ted mortality models containing both BMI and body fat percentage, low BMI (hazard ratio [HR], 1.44 [9

103 04), and for intervention duration of >8 wk, body fat percentage (MD: -0.78%; 95% CI: -1.17, -0.39; n

104 was more accurate than BMI to estimate whole-body fat percentage (measured by dual energy X-ray absor

105 Body fat percentage measurements were taken by using air

106 waist circumference, hip circumference, and body fat percentage more than did the C group at both 12

107 r BMI (more than 29, 21% less MP) and higher body fat percentage (more than 27%, 16% less MP).

108 r = -0.12, P < 0.0008) and between MPOD and body fat percentage (n = 400, r = -0.12, P < 0.01).

109 Information on MPOD, body mass index (BMI), body fat percentage (n = 400, using bioelectric impedanc

110 develop and validate prediction equations of body fat percentage obtained from Dual Energy X-ray Abso

111 ntained stable adiposity levels, whereas the body fat percentage of Leprdb/db animals continued to es

112 dequately represent the biological effect of body fat percentage on lipid concentrations.

113 and identified two new loci associated with body fat percentage, one near IRS1 (P = 4 x 10(-11)) and

114 y) in identifying individuals with excessive body fat percentage or in predicting risk of all-cause m

115 ed risk were noted for genetically predicted body fat percentage (OR(SD) 1.14 [95% CI 1.03-1.25]; p=0

116 ce interval [CI] = 1.03-1.56, P = 0.028) and body fat percentage (OR(SD) = 1.28, 95% CI = 1.01-1.63,

117 hip ratio (ORSD: 1.63, 95% CI 1.40-1.90) and body fat percentage (ORSD: 1.66, 95% CI 1.44-1.90).

118 ponse to ET, both groups similarly decreased body fat percentage (P < 0.0001) and improved endurance

119 on (P = 0.044), body mass index (P < 0.001), body fat percentage (P = 0.001), waist circumference (P

120 (p < 0.001), BMI SDS (p = 0.005), and total body fat percentage (p = 0.037) in their children.

121 er was not associated with BMI (P = 0.80) or body fat percentage (P = 0.38).

122 ch intake on BMI (P-interaction = 0.007) and body fat percentage (P-interaction = 0.03).

123 io [PR], 1.68; 95% CI, 1.13-2.51), increased body fat percentage (PR, 2.33; 95% CI, 1.21-4.50), reduc

124 02), hip circumference (r=0.4, P=0.008), and body fat percentage (r=0.4, P=0.03) in HT.

125 history method) on body mass index (BMI) and body fat percentage.Results:AMY1 copy number was not ass

126 weight (primary end point) and the change in body-fat percentage (secondary end point) from randomiza

127 -state lipoproteins, and persons with higher body fat percentages showed greater dilution of meal TAG

128 outcome of BMI, BMI Z score, BMI percentile, body fat percentage, skinfold thickness, waist circumfer

129 Findings were similar for total body fat percentage (TBF%); however, for adolescents wit

130 I), waist-to-hip ratio adjusted for BMI, and body fat percentage than genes not significantly enriche

131 d sex, Asians were reported to have a higher body fat percentage than whites.

132 ndependent of BMI, baseline total percentage body fat, percentage trunk fat, and percentage abdominal

133 on with height or maximized correlation with body fat percentage, using age-adjusted correlations.

134 umption, body mass index, physical activity, body fat percentage, waist circumference, triglycerides,

135 s of body size and metabolic factors-such as body fat percentage, waist circumference, waist-to-hip r

136 six metabolic traits: body mass index (BMI), body fat percentage, waist-hip ratio, and blood-based me

137 ariance in lipid concentrations explained by body fat percentage was 2-20% (P < 0.001).

138 aist-to-hip ratio, waist-to-height ratio and body fat percentage was 26.5% (19.2-52.2%), 54.5% (39.4-

139 Body fat percentage was inversely associated with the ma

140 Body fat percentage was measured by dual-energy X-ray ab

141 No significant lowering effect on body fat percentage was reported.

142 The respective proportions when body fat percentage was used as the outcome variable wer

143 The respective proportions when body fat percentage was used as the outcome variable wer

144 the age- and sex-specific 75th percentile of body fat percentage) was significantly greater (P < 0.01

145 Body mass index and DXA-derived body fat percentage were divided into quintiles, with qu

146 tus femoris, and gastrocnemius muscles), and body fat percentage were taken at baseline and post-test

147 ent molecular mechanisms that lead to higher body fat percentage (with greater subcutaneous storage c

148 pometric index used as a surrogate for whole-body fat percentage) with all-cause mortality, the assoc