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1 re likely to be female and have greater body fatness.
2 justed R(2) = 0.29) of the variation in body fatness.
3 .015) and independently associated with body fatness.
4 dependent of anthropometric measures of body fatness.
5 nd its subcomponents with indicators 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 FFM gain (r = 0.01), correlated with initial fatness.
10  composition on the "tracking" of adolescent fatness.
11 ment of the other equations varied with body fatness.
12 ated to parental fatness but not to prenatal fatness.
13 , even when VAT was corrected for total body fatness.
14 ood groups influences energy intake and body fatness.
15 ce disappeared when corrected for total body fatness.
16  BMI is only moderately correlated with body fatness.
17 ong-term increases in energy intake and body fatness.
18 has been shown to be related to current body fatness.
19 ain in girls), initial fatness, and parental fatness.
20 appears to have little if any effect on body fatness.
21 leptin concentrations at any given degree of fatness.
22  useful in monitoring secular trends in body fatness.
23 mponents of energy expenditure, but not with fatness.
24  however, BMI is an indirect measure of body fatness.
25 ewborn aIMT, heart rate variability, or body fatness.
26  to improve their fitness regardless of body fatness.
27 ly measured fitness than with any measure of fatness.
28 nset of elevated depressive symptoms than is fatness.
29 th LVM in comparison to other descriptors of fatness.
30 dysfunction, which correlated with abdominal fatness.
31  not account for sex differences in visceral fatness.
32 us, intake of antioxidant vitamins, and body fatness.
33 ng status, vitamin C and E intakes, and body fatness.
34 ndex (BMI; in kg/m2) was used as a proxy for fatness.
35 ldren 1) there is wide variation in visceral fatness; 2) IAAT relative to SAAT is an index of viscera
36 nsumption, diet, physical activity, and body fatness), a polygenic risk score (based on 90 single-nuc
37      Our findings provide evidence that body fatness accentuates the effects of genetic susceptibilit
38 aditional CVD risk factors in men with broad fatness, aerobic fitness, and age ranges using 3 express
39 ivism rate to pre-weight loss levels of body fatness after otherwise successful weight reduction if t
40 olic syndrome composite score (MetScore) and fatness among college students across body mass index (B
41 DIPOQ 45T-->G variant contributes to overall fatness and abdominal obesity are confirmed.
42 However, the independent association of body fatness and aerobic fitness with CVD risk factors is unc
43 or production (growth) and meat and carcass (fatness and anatomy) traits.
44  WSR perform similarly as indicators of body fatness and are more closely related to each other than
45 be primarily explained by attained abdominal fatness and biomarkers of metabolic dysfunction.
46 , (4) better methods of quantifying obesity, fatness and body fat distribution, (5) increasing intere
47 iation between childhood and adolescent body fatness and breast cancer risk.
48 inal fatness (waist:hip ratio), once overall fatness and confounders were controlled.
49 ignificant negative association between body fatness and energy expenditure for physical activity, an
50  performed to study the joint association of fatness and fitness with the onset of depressive symptom
51 w-up was highly predictive of change in body fatness and improved the overall prediction, accounting
52          This study assessed the relation of fatness and insulin resistance and their interaction wit
53 lts show the significant association of both fatness and insulin resistance and their significant int
54 er groups and showing an interaction between fatness and insulin resistance.
55 ow birth weight on postnatal growth and body fatness and on plasma leptin concentrations in pigs.
56               The results indicate that body fatness and physical activity interact during early chil
57  prepubertal girls of normal weight and body fatness and their parents by using state-of-the-art tech
58 orate reciprocal relationship between thymic fatness and thymopoietic fitness are emerging.
59 sical activity, is associated with both body fatness and weight gain.
60  the use of precise methods to quantify body fatness and with adjustment for differences in both FM a
61 e is positively correlated with prepregnancy fatness, and 3) energy expenditure in activity decreases
62 as of DXA varies according to the sex, size, fatness, and disease state of the subjects, which indica
63 mal aortic stiffness and changes in fitness, fatness, and other potential confounders.
64 during preadolescent growth are sex, initial fatness, and parental fatness, but not reduced energy ex
65 ere sex (greater fat gain in girls), initial fatness, and parental fatness.
66 but it is unknown whether this reflects body fatness, and, if it does, why.
67           Cardiorespiratory fitness and body fatness are both related to health, but their interrelat
68  The use of HRT and measures of overall body fatness are important correlates of C-reactive protein a
69   The authors conclude that both fitness and fatness are risk factors for mortality, and that being f
70                       Associations with body fatness are unknown.
71 ce of obesity reflect the importance of body fatness as a contributing factor to diabetes incidence.
72 ere significantly associated with total body fatness as measured by DXA.
73  Study (Dallas, Texas) underwent fitness and fatness assessments between 1979 and 1998 and later comp
74  authors assessed whether birth weight, body fatness at ages 5 and 10 years, and body mass index (BMI
75 Study II (1989-2005) who recalled their body fatness at ages 5, 10, and 20 years using a 9-level pict
76                                         Body fatness at young ages has a strong and independent inver
77                                         Body fatness at young ages may be related to breast cancer ri
78                                         Body fatness at young ages was inversely associated with risk
79                       Changes in fitness and fatness between the first and second examinations were c
80  physical activity (PA) and measures of body fatness (BF) in children are remarkably inconsistent.
81 had significantly increased measures of body fatness; blood pressure; and fasting levels of glucose,
82 ct of maternal BMI in pregnancy on offspring fatness (BMI and dual-energy X-ray absorptiometry [DXA]
83 tabolically healthy obesity phenotype', the 'fatness but fitness' paradox or the 'obesity paradox'.
84 gest that dietary variety may influence body fatness but no long-term human studies have been reporte
85 ss during adolescence is related to parental fatness but not to prenatal fatness.
86 rowth are sex, initial fatness, and parental fatness, but not reduced energy expenditure.
87  dependent when used as an indicator of body fatness, but that it is ethnicity independent in black a
88 xamined the associations between PA and body fatness by using general linear models adjusted for pote
89 tion of whether comprehensive descriptors of fatness, central hemodynamics and renal characteristics
90  available methods to measure change in body fatness compare with criterion methods such as dual-ener
91 ontexts BMI could be a good measure for body fatness compared to dual-energy X-ray absorptiometry (DX
92 ns had significantly greater adult abdominal fatness compared with long and thin or short and fat new
93 ing disorder symptoms: binge eating, fear of fatness/compensatory behaviors, and drive for extreme th
94 tary fat were significant predictors of body fatness (controlled for age and sex, partial r = -0.39 a
95 nship between body mass index (BMI) and body fatness could differ according to age, sex, and race-eth
96 ive trait locus (QTL) analysis of growth and fatness data from a three generation pig experiment is p
97 make it achieve height independency and body fatness dependency.
98                                              Fatness determined by using skinfold-thickness and bioel
99 nt lifestyle factors: smoking, alcohol, body fatness, diet, physical activity, medication, and hormon
100 ther amount of VAT in relation to total body fatness differs in different race and sex groups and 2)
101                  These findings suggest that fatness during adolescence is related to parental fatnes
102  diagnosis, participants reported their body fatness during childhood and adolescence, BMI at age 18
103 energy intake are predictors of gain in body fatness during late childhood in boys and girls.
104 ulin resistant at 11 years and decreasing in fatness during puberty, males became more insulin resist
105 ively correlated with measures of body size, fatness, fat distribution, and weight gain among HRT use
106                        The genetics of human fatness has been the subject of many recent studies, mot
107 crobiome features associated with growth and fatness, ii) to estimate the heritability of those featu
108 plementation for 7 +/- 0.5 mo decreased body fatness in 6-10-y-old children who were overweight or ob
109 childhood is associated with adult abdominal fatness in a developing country context, the authors ana
110          Validation of methods of predicting fatness in African American and white children could hel
111 matic prepubescent increases in subcutaneous fatness in boys at the highest percentiles.
112 ect of the two adrenoceptor variants on body fatness in Caucasian women, although the physiological m
113                           Birth weight, body fatness in childhood, and BMI at age 18 years were inver
114 ed a reasonable measure with which to assess fatness in children and adolescents and that the standar
115  of height- and weight-based indexes of body fatness in children and adolescents have examined only s
116  moderate and vigorous PA is related to body fatness in children, but this relation is weak; the expl
117  intake from fat and analyze its relation to fatness in children.
118 significant interactions between fitness and fatness in either men or women.
119 o dietary guidelines positively affects body fatness in men, independent of PA.
120 es for obesity to quantitative variation for fatness in mice.
121        These findings suggest that high body fatness in old age should be avoided to decrease the ris
122   The lower correlation between BMI and body fatness in older compared to younger age groups could be
123 affect EE and thereby influence BMI and body fatness in Pima Indians.
124 confirmed the high prevalence of excess body fatness in school-age American Indian children and permi
125         These results suggest that excessive fatness in the reproductive period may inhibit lactation
126 ight traits, which were also associated with fatness in the same population.
127 thnicity groups confirm greater subcutaneous fatness in white children than in black age mates at the
128 dependent criterion method of measuring body fatness in young females.
129 r is as solute or as surface, is due to its "fatness." In solution, the extra work of cavity formatio
130  centres and also anthropometric measures of fatness including body mass index and waist/hip ratio, c
131 y mass index (BMI) is representative of body fatness independent of age, sex, and ethnicity.
132                                         Body fatness is a better predictor of CVD risk factor profile
133            The results showed that high body fatness is an independent predictor of mobility-related
134 e strategy for preventing CVD, elevated body fatness is associated with an adverse CVD risk factor pr
135 erlying acid load, an early increase in body fatness is associated with increased free proton excreti
136  premenopausal non-diabetic women of similar fatness is attributed to either 1) a different relations
137         In nonhuman species, excess maternal fatness is deleterious for lactation and also for matern
138 ggest that a relation between TV viewing and fatness is more likely to be due to an effect on food in
139 ctivity, the relation between TV viewing and fatness is not mediated by physical activity.
140  was to test the hypothesis that higher body fatness is one determinant of kidney function impairment
141  risk differs by sex, age, race, and overall fatness is poorly understood.
142  prepubertal girls of normal weight and body fatness is significantly related to the body composition
143 icient to conclude that avoiding excess body fatness lowers the risk of multiple myeloma but found th
144 cholesterol, triglycerides, measures of body fatness, markers of inflammation, and glycemia.
145                This study suggests that body fatness may be more important than muscle in maintaining
146 igated the association of breastfeeding with fatness measured by dual-energy X-ray absorptiometry.
147 were used to test the associations between 3 fatness measures (body mass index, waist circumference,
148 significant after additionally adjusting for fatness measures and multiple comparisons.
149 hat they are secondary to the association of fatness measures with asthma.
150 on is secondary to associations of both with fatness measures.
151 y adjusting associations with adipokines and fatness measures.
152                                         Body fatness (n = 162), aortic intima-media thickness (aIMT;
153                                         Body fatness, not fat-free mass, is associated with cardiovas
154 hildren, but markedly overestimates the body fatness of children who have thick skinfold thicknesses.
155  Among all women, the RR for adolescent body fatness of level 6.5 or higher versus level 1 was 0.57 (
156  be the optimal method of measuring the body fatness of young females.
157 ealthy Eating Index 2010 (HEI-2010) and body fatness on a continuous scale, independent of physical a
158  mechanism for the adverse influence of body fatness on CVD.
159  relative size of the effects of fitness and fatness on longevity has been studied in only one cohort
160               We sought to determine whether fatness or fitness better predicted traditional CVD risk
161 after adjusting for possible confounders and fatness or fitness for each other (all p for trend <0.05
162  index, traditionally interpreted as greater fatness or obesity, in later life.
163 ak oxygen uptake, fasting glucose, degree of fatness, or hepatic insulin clearance predicted the post
164               Divergent selection in mice on fatness over 60 generations produced a fat (F) and a lea
165 ibution of VPA, because MPA was unrelated to fatness (P >/= 0.077).
166 , whereas underwater weighing underestimated fatness (P < 0.025).
167 a group) was positively associated with body fatness (partial r = 0.38, P = 0.001) whereas variety fr
168         BMI could be a good measure for body fatness, particularly among young age groups, women, the
169 ort on BIS's accuracy in predicting relative fatness [percentage body fat (%BF)] in a heterogeneous s
170 e whether TV viewing is associated with body fatness, physical activity, and total energy expenditure
171 AICR recommendations for men [regarding body fatness, physical activity, foods and drinks that promot
172             Variation in maternal size, body fatness, pregnancy weight gain and heat production is pr
173 ulin action being explained by the degree of fatness rather than age per se.
174 set of elevated depressive symptoms than was fatness, regardless of the measure of fatness used.
175                  Comprehensive assessment of fatness reinforced the concept that intraabdominal fat c
176 ncer (per 1-unit increase in adolescent body fatness, relative risk (RR) = 0.88 and RR = 0.91, respec
177  disease (CHD) risk above and beyond overall fatness remains unsettled.
178      Therefore, we recommend using the Segal fatness-specific and average equations to assess body co
179                                          The fatness-specific bioelectrical impedance analysis (BIA)
180  the average of the Segal nonobese and obese fatness-specific equations (BIA average method) could be
181                               However, these fatness-specific equations require an a priori determina
182                                    The Segal fatness-specific equations yielded the smallest predicti
183 hase 2, the predictive accuracy of the Segal fatness-specific equations, used in combination with the
184  resistance may be acting interactively with fatness suggests that interventions directed at insulin
185                 Predictors of change in body fatness tended to be sex and race specific.
186 nthropometry can provide better estimates of fatness than body mass index but it is still relatively
187  skinfolds can more accurately estimate body fatness than can BMI, it is possible that skinfolds coul
188 ual metabolic syndrome components, and lower fatness than unfit individuals across BMI categories.
189 re considered--including the best measure of fatness, the effect of application of a variety of exist
190 elated to BMI and anthropometric measures of fatness, these factors do not completely explain the ins
191 her showed intraindividual increases in body fatness to be paralleled by urine pH decreases (P <= 0.0
192 ve and combined contributions of fitness and fatness to health are controversial, and few studies are
193 ng the relative contributions of fitness and fatness to various disease states has long interested in
194 ance, which were independent from changes in fatness, total cholesterol, and low-density lipoprotein
195 wth and composition traits, particularly for fatness traits.
196 an was fatness, regardless of the measure of fatness used.
197 pregnancy affects lifelong risk of offspring fatness via intrauterine mechanisms.
198 en had significantly greater adult abdominal fatness (waist:hip ratio), once overall fatness and conf
199                                         Body fatness was assessed anthropometrically by body mass ind
200 ess was assessed using a treadmill test, and fatness was assessed as body mass index calculated from
201  developing each outcome, whereas increasing fatness was associated with higher risk of developing ea
202 After controlling for fitness, no measure of fatness was associated with the onset of depressive symp
203 cular mass was assessed by echocardiography, fatness was evaluated by anthropometry, bioimpedance, an
204                                              Fatness was expressed by percent body fat and body mass
205                                     Overall, fatness was more strongly and consistently associated wi
206 ness loss were also somewhat attenuated when fatness was reduced.
207                                  Fitness and fatness were both associated with mortality from all cau
208                Both aerobic fitness and body fatness were independently associated with selective hem
209  (P < 0.001) and resting heart rate and body fatness were lower (P < 0.05) in the exercise-trained me
210 red by accelerometry, and indicators of body fatness were the sum of 5 skinfold thicknesses and body
211 no longer significantly associated with body fatness when the variety ratio and dietary fat were incl
212 erol, despite a concurrent reduction in body fatness, whereas the opposite occurred in females.
213 X-ray absorptiometry showed no mean bias for fatness, whereas underwater weighing underestimated fatn
214 , suggesting that multiple pathways regulate fatness, which may be independently responsive to interv
215 1999 urine samples) the associations of body fatness with 24-h urine pH as the outcome variable, resp
216 n the associations of changes in fitness and fatness with the development of CVD risk factors.
217 bined associations of changes in fitness and fatness with the subsequent incidence of the cardiovascu

 
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