ライフサイエンスコーパス: fatness

1 justed R(2) = 0.29) of the variation in body fatness.

2 .015) and independently associated with body fatness.

3 dependent of anthropometric measures of body fatness.

4 nd its subcomponents with indicators of body fatness.

5 to improve their fitness regardless of body fatness.

6 tly mediated through the prediction of adult fatness.

7 are independent of age, ethnicity, and body fatness.

8 Fiber was the strongest single predictor of fatness.

9 ly measured fitness than with any measure of fatness.

10 FFM gain (r = 0.01), correlated with initial fatness.

11 composition on the "tracking" of adolescent fatness.

12 ment of the other equations varied with body fatness.

13 nset of elevated depressive symptoms than is fatness.

14 ated to parental fatness but not to prenatal fatness.

15 , even when VAT was corrected for total body fatness.

16 ood groups influences energy intake and body fatness.

17 ce disappeared when corrected for total body fatness.

18 ong-term increases in energy intake and body fatness.

19 has been shown to be related to current body fatness.

20 ain in girls), initial fatness, and parental fatness.

21 appears to have little if any effect on body fatness.

22 leptin concentrations at any given degree of fatness.

23 th LVM in comparison to other descriptors of fatness.

24 dysfunction, which correlated with abdominal fatness.

25 BMI is only moderately correlated with body fatness.

26 not account for sex differences in visceral fatness.

27 useful in monitoring secular trends in body fatness.

28 us, intake of antioxidant vitamins, and body fatness.

29 ng status, vitamin C and E intakes, and body fatness.

30 ndex (BMI; in kg/m2) was used as a proxy for fatness.

31 ldren 1) there is wide variation in visceral fatness; 2) IAAT relative to SAAT is an index of viscera

32 Our findings provide evidence that body fatness accentuates the effects of genetic susceptibilit

33 aditional CVD risk factors in men with broad fatness, aerobic fitness, and age ranges using 3 express

34 ivism rate to pre-weight loss levels of body fatness after otherwise successful weight reduction if t

35 DIPOQ 45T-->G variant contributes to overall fatness and abdominal obesity are confirmed.

36 However, the independent association of body fatness and aerobic fitness with CVD risk factors is unc

37 WSR perform similarly as indicators of body fatness and are more closely related to each other than

38 be primarily explained by attained abdominal fatness and biomarkers of metabolic dysfunction.

39 , (4) better methods of quantifying obesity, fatness and body fat distribution, (5) increasing intere

40 iation between childhood and adolescent body fatness and breast cancer risk.

41 inal fatness (waist:hip ratio), once overall fatness and confounders were controlled.

42 ignificant negative association between body fatness and energy expenditure for physical activity, an

43 performed to study the joint association of fatness and fitness with the onset of depressive symptom

44 w-up was highly predictive of change in body fatness and improved the overall prediction, accounting

45 This study assessed the relation of fatness and insulin resistance and their interaction wit

46 lts show the significant association of both fatness and insulin resistance and their significant int

47 er groups and showing an interaction between fatness and insulin resistance.

48 ow birth weight on postnatal growth and body fatness and on plasma leptin concentrations in pigs.

49 The results indicate that body fatness and physical activity interact during early chil

50 prepubertal girls of normal weight and body fatness and their parents by using state-of-the-art tech

51 orate reciprocal relationship between thymic fatness and thymopoietic fitness are emerging.

52 sical activity, is associated with both body fatness and weight gain.

53 the use of precise methods to quantify body fatness and with adjustment for differences in both FM a

54 e is positively correlated with prepregnancy fatness, and 3) energy expenditure in activity decreases

55 as of DXA varies according to the sex, size, fatness, and disease state of the subjects, which indica

56 during preadolescent growth are sex, initial fatness, and parental fatness, but not reduced energy ex

57 ere sex (greater fat gain in girls), initial fatness, and parental fatness.

58 but it is unknown whether this reflects body fatness, and, if it does, why.

59 Cardiorespiratory fitness and body fatness are both related to health, but their interrelat

60 The use of HRT and measures of overall body fatness are important correlates of C-reactive protein a

61 The authors conclude that both fitness and fatness are risk factors for mortality, and that being f

62 Associations with body fatness are unknown.

63 ce of obesity reflect the importance of body fatness as a contributing factor to diabetes incidence.

64 ere significantly associated with total body fatness as measured by DXA.

65 Study (Dallas, Texas) underwent fitness and fatness assessments between 1979 and 1998 and later comp

66 authors assessed whether birth weight, body fatness at ages 5 and 10 years, and body mass index (BMI

67 Study II (1989-2005) who recalled their body fatness at ages 5, 10, and 20 years using a 9-level pict

68 Body fatness at young ages has a strong and independent inver

69 Body fatness at young ages may be related to breast cancer ri

70 Body fatness at young ages was inversely associated with risk

71 Changes in fitness and fatness between the first and second examinations were c

72 physical activity (PA) and measures of body fatness (BF) in children are remarkably inconsistent.

73 had significantly increased measures of body fatness; blood pressure; and fasting levels of glucose,

74 ct of maternal BMI in pregnancy on offspring fatness (BMI and dual-energy X-ray absorptiometry [DXA]

75 gest that dietary variety may influence body fatness but no long-term human studies have been reporte

76 ss during adolescence is related to parental fatness but not to prenatal fatness.

77 rowth are sex, initial fatness, and parental fatness, but not reduced energy expenditure.

78 dependent when used as an indicator of body fatness, but that it is ethnicity independent in black a

79 xamined the associations between PA and body fatness by using general linear models adjusted for pote

80 tion of whether comprehensive descriptors of fatness, central hemodynamics and renal characteristics

81 available methods to measure change in body fatness compare with criterion methods such as dual-ener

82 ns had significantly greater adult abdominal fatness compared with long and thin or short and fat new

83 ing disorder symptoms: binge eating, fear of fatness/compensatory behaviors, and drive for extreme th

84 tary fat were significant predictors of body fatness (controlled for age and sex, partial r = -0.39 a

85 ive trait locus (QTL) analysis of growth and fatness data from a three generation pig experiment is p

86 Fatness determined by using skinfold-thickness and bioel

87 nt lifestyle factors: smoking, alcohol, body fatness, diet, physical activity, medication, and hormon

88 ther amount of VAT in relation to total body fatness differs in different race and sex groups and 2)

89 These findings suggest that fatness during adolescence is related to parental fatnes

90 diagnosis, participants reported their body fatness during childhood and adolescence, BMI at age 18

91 energy intake are predictors of gain in body fatness during late childhood in boys and girls.

92 ulin resistant at 11 years and decreasing in fatness during puberty, males became more insulin resist

93 ively correlated with measures of body size, fatness, fat distribution, and weight gain among HRT use

94 The genetics of human fatness has been the subject of many recent studies, mot

95 plementation for 7 +/- 0.5 mo decreased body fatness in 6-10-y-old children who were overweight or ob

96 childhood is associated with adult abdominal fatness in a developing country context, the authors ana

97 Validation of methods of predicting fatness in African American and white children could hel

98 matic prepubescent increases in subcutaneous fatness in boys at the highest percentiles.

99 ect of the two adrenoceptor variants on body fatness in Caucasian women, although the physiological m

100 Birth weight, body fatness in childhood, and BMI at age 18 years were inver

101 ed a reasonable measure with which to assess fatness in children and adolescents and that the standar

102 of height- and weight-based indexes of body fatness in children and adolescents have examined only s

103 moderate and vigorous PA is related to body fatness in children, but this relation is weak; the expl

104 intake from fat and analyze its relation to fatness in children.

105 significant interactions between fitness and fatness in either men or women.

106 o dietary guidelines positively affects body fatness in men, independent of PA.

107 es for obesity to quantitative variation for fatness in mice.

108 These findings suggest that high body fatness in old age should be avoided to decrease the ris

109 affect EE and thereby influence BMI and body fatness in Pima Indians.

110 confirmed the high prevalence of excess body fatness in school-age American Indian children and permi

111 These results suggest that excessive fatness in the reproductive period may inhibit lactation

112 thnicity groups confirm greater subcutaneous fatness in white children than in black age mates at the

113 dependent criterion method of measuring body fatness in young females.

114 r is as solute or as surface, is due to its "fatness." In solution, the extra work of cavity formatio

115 centres and also anthropometric measures of fatness including body mass index and waist/hip ratio, c

116 y mass index (BMI) is representative of body fatness independent of age, sex, and ethnicity.

117 Body fatness is a better predictor of CVD risk factor profile

118 The results showed that high body fatness is an independent predictor of mobility-related

119 e strategy for preventing CVD, elevated body fatness is associated with an adverse CVD risk factor pr

120 premenopausal non-diabetic women of similar fatness is attributed to either 1) a different relations

121 In nonhuman species, excess maternal fatness is deleterious for lactation and also for matern

122 ggest that a relation between TV viewing and fatness is more likely to be due to an effect on food in

123 ctivity, the relation between TV viewing and fatness is not mediated by physical activity.

124 risk differs by sex, age, race, and overall fatness is poorly understood.

125 prepubertal girls of normal weight and body fatness is significantly related to the body composition

126 icient to conclude that avoiding excess body fatness lowers the risk of multiple myeloma but found th

127 This study suggests that body fatness may be more important than muscle in maintaining

128 igated the association of breastfeeding with fatness measured by dual-energy X-ray absorptiometry.

129 were used to test the associations between 3 fatness measures (body mass index, waist circumference,

130 significant after additionally adjusting for fatness measures and multiple comparisons.

131 hat they are secondary to the association of fatness measures with asthma.

132 on is secondary to associations of both with fatness measures.

133 y adjusting associations with adipokines and fatness measures.

134 Body fatness, not fat-free mass, is associated with cardiovas

135 hildren, but markedly overestimates the body fatness of children who have thick skinfold thicknesses.

136 Among all women, the RR for adolescent body fatness of level 6.5 or higher versus level 1 was 0.57 (

137 be the optimal method of measuring the body fatness of young females.

138 ealthy Eating Index 2010 (HEI-2010) and body fatness on a continuous scale, independent of physical a

139 mechanism for the adverse influence of body fatness on CVD.

140 relative size of the effects of fitness and fatness on longevity has been studied in only one cohort

141 We sought to determine whether fatness or fitness better predicted traditional CVD risk

142 after adjusting for possible confounders and fatness or fitness for each other (all p for trend <0.05

143 index, traditionally interpreted as greater fatness or obesity, in later life.

144 ak oxygen uptake, fasting glucose, degree of fatness, or hepatic insulin clearance predicted the post

145 Divergent selection in mice on fatness over 60 generations produced a fat (F) and a lea

146 ibution of VPA, because MPA was unrelated to fatness (P >/= 0.077).

147 , whereas underwater weighing underestimated fatness (P < 0.025).

148 a group) was positively associated with body fatness (partial r = 0.38, P = 0.001) whereas variety fr

149 ort on BIS's accuracy in predicting relative fatness [percentage body fat (%BF)] in a heterogeneous s

150 e whether TV viewing is associated with body fatness, physical activity, and total energy expenditure

151 AICR recommendations for men [regarding body fatness, physical activity, foods and drinks that promot

152 Variation in maternal size, body fatness, pregnancy weight gain and heat production is pr

153 ulin action being explained by the degree of fatness rather than age per se.

154 set of elevated depressive symptoms than was fatness, regardless of the measure of fatness used.

155 Comprehensive assessment of fatness reinforced the concept that intraabdominal fat c

156 ncer (per 1-unit increase in adolescent body fatness, relative risk (RR) = 0.88 and RR = 0.91, respec

157 disease (CHD) risk above and beyond overall fatness remains unsettled.

158 Therefore, we recommend using the Segal fatness-specific and average equations to assess body co

159 The fatness-specific bioelectrical impedance analysis (BIA)

160 the average of the Segal nonobese and obese fatness-specific equations (BIA average method) could be

161 However, these fatness-specific equations require an a priori determina

162 The Segal fatness-specific equations yielded the smallest predicti

163 hase 2, the predictive accuracy of the Segal fatness-specific equations, used in combination with the

164 resistance may be acting interactively with fatness suggests that interventions directed at insulin

165 Predictors of change in body fatness tended to be sex and race specific.

166 nthropometry can provide better estimates of fatness than body mass index but it is still relatively

167 skinfolds can more accurately estimate body fatness than can BMI, it is possible that skinfolds coul

168 re considered--including the best measure of fatness, the effect of application of a variety of exist

169 elated to BMI and anthropometric measures of fatness, these factors do not completely explain the ins

170 ve and combined contributions of fitness and fatness to health are controversial, and few studies are

171 ng the relative contributions of fitness and fatness to various disease states has long interested in

172 ance, which were independent from changes in fatness, total cholesterol, and low-density lipoprotein

173 an was fatness, regardless of the measure of fatness used.

174 pregnancy affects lifelong risk of offspring fatness via intrauterine mechanisms.

175 en had significantly greater adult abdominal fatness (waist:hip ratio), once overall fatness and conf

176 ess was assessed using a treadmill test, and fatness was assessed as body mass index calculated from

177 developing each outcome, whereas increasing fatness was associated with higher risk of developing ea

178 After controlling for fitness, no measure of fatness was associated with the onset of depressive symp

179 cular mass was assessed by echocardiography, fatness was evaluated by anthropometry, bioimpedance, an

180 Fatness was expressed by percent body fat and body mass

181 Overall, fatness was more strongly and consistently associated wi

182 ness loss were also somewhat attenuated when fatness was reduced.

183 Fitness and fatness were both associated with mortality from all cau

184 Both aerobic fitness and body fatness were independently associated with selective hem

185 (P < 0.001) and resting heart rate and body fatness were lower (P < 0.05) in the exercise-trained me

186 red by accelerometry, and indicators of body fatness were the sum of 5 skinfold thicknesses and body

187 no longer significantly associated with body fatness when the variety ratio and dietary fat were incl

188 erol, despite a concurrent reduction in body fatness, whereas the opposite occurred in females.

189 X-ray absorptiometry showed no mean bias for fatness, whereas underwater weighing underestimated fatn

190 , suggesting that multiple pathways regulate fatness, which may be independently responsive to interv

191 n the associations of changes in fitness and fatness with the development of CVD risk factors.

192 bined associations of changes in fitness and fatness with the subsequent incidence of the cardiovascu