ライフサイエンスコーパス: body fat

1 ratio and fasting insulin levels, but lower body fat).

2 aseline LTL, age, smoking, and percentage of body fat.

3 onships among body mass, height, and percent body fat.

4 dditional adjustments for visceral and total body fat.

5 ons for both waist circumference and percent body fat.

6 and decreased BMI, waist circumference, and body fat.

7 sed EE, increased fat oxidation, and loss of body fat.

8 y measured weight and height) and percentage body fat.

9 may be involved in the development of excess body fat.

10 ings at follow-up compared to those who lost body fat.

11 R are more suitable than BMI or WC to assess body fat.

12 ow milk over 12 mo had a lower percentage of body fat.

13 ize, disease status, sex, age, body mass and body fat.

14 several days, they lose nearly all of their body fat.

15 .11, -0.16 cm; P = 0.008), with no change in body fat (-0.78%; 95% CI: -1.56%, 0.00%; P = 0.05) when

16 1 (95% CI -0.00325--0.000969), percentage of body fat -0.00516 (95% CI -0.00761--0.0027), high densit

17 to -0.39), and 0.81 percentage points lower body fat (-1.03 to -0.59).

18 e-trained men [aged 21 +/- 1 y; 88 +/- 3 kg; body fat: 16% +/- 1% (means +/- SEMs)] received primed c

19 etability: (1) overfat: >=85th percentile of body fat; (2) overweight: >1 SD BMI z score; and (3) pre

20 age, 65.5 years; mean BMI, 27.4 kg/m2; mean body fat, 29.5%).

21 age, 63.5 years; mean BMI, 27.0 kg/m2; mean body fat, 32.1%) and 4944 men (mean age, 65.5 years; mea

22 % male; aged 36.6 +/- 11.4 years; percentage body fat 34.8 +/- 10.5%).

23 rials on body weight, 5 trials on percentage body fat, 4 trials on waist circumference, 4 trials on f

24 years), waist circumference (4-8 years), and body fat (8 years).

25 ing follow-up, the HIV+ patients gained more body fat (8.6% +/- 0.7%) than the control patients (4.5%

26 significant attenuation of the rate of total body fat accumulation, along with a decrease in hepatic

27 hy as well as systemic hypercholesterolemia, body fat accumulation, and glucose intolerance.

28 ive EGCG had inhibitory effects on liver and body fat accumulation.

29 tor that markedly affects energy storage and body-fat accumulation in mammals, yet the underlying mec

30 ed by peak oxygen consumption, percentage of body fat (adiposity) by dual-energy x-ray absorptiometry

31 5% CI: -0.07, 0.13; P = 0.61); percentage of body fat adjusted mean difference: -0.26 (95% CI: -0.99,

32 5% CI: -0.08, 0.12; P = 0.66); percentage of body fat adjusted mean difference: 0.11 (95% CI: -0.60,

33 ncreased bone mineral density, and decreased body fat; adverse effects on decreased HDL, and increase

34 exposures were not associated with increased body fat among children 4-9 years of age, though high pr

35 d and VCTE-derived liver stiffness and whole-body (fat and muscle) composition analysis by MRI or DXA

36 during pregnancy are associated with higher body fat and abdominal fat in childhood.

37 The beta-DKO mice also had increased body fat and adipose tissue macrophage content, elevated

38 ed in aSAT and correlated with a decrease in body fat and an increase in soleus and hepatic fat conte

39 y of the adverse metabolic effects of excess body fat and are considered "metabolically healthy." How

40 nificantly associated with the percentage of body fat and body mass index (both P < 0.05) while contr

41 ic increases in serum sclerostin, accumulate body fat and develop impairments in glucose tolerance an

42 Body fat and intrahepatic fat were detected by magnetic

43 rum cortisol were associated with changes in body fat and LBM, but did not explain much variance in e

44 creased metabolic flexibility while reducing body fat and liver lipids, compared with untreated obese

45 loratory endpoints included changes in total-body fat and muscle depots on dual-energy X-ray absorpti

46 There was evidence that higher body fat and visceral body fat distribution caused eleva

47 Offspring from HFD dams had increased body fat and weight relative to CD.

48 s are negatively genetically correlated with body fat % and fat-free mass, whereas (2) attention-defi

49 more favorable adiposity alleles had higher body fat % and higher BMI but lower risk of type 2 diabe

50 ity with age, accuracy in estimating percent body fat, and accuracy in classifying adolescents as ove

51 non-resting energy expenditure, one-half the body fat, and better glucose clearance.

52 ite such a regain, weight, the percentage of body fat, and fat mass remained significantly reduced fr

53 ody weight, high for waist circumference and body fat, and low for BMI.

54 ng all participants, MetScore, percentage of body fat, and visceral adiposity increased linearly acro

55 BMI; in kg/m(2)), body weight, percentage of body fat, and waist circumference] and glucose and insul

56 per day, lung cancer, insulin resistance and body fat are most negatively correlated.

57 EALplus) also completed daily journals and a body fat assessment via dual-energy x-ray absorptiometry

58 The mean percentage body fat at 12 mo was 23.3% (SD 7.9) in the GUMLi group

59 changes in absolute weight, BMI, and percent body fat at 12 months.

60 The primary outcome was percentage body fat at 2 y of age measured by bioelectrical impedan

61 comes were the BMI z score and percentage of body fat at 3 and 5 y of age.

62 ndex (BMI), waist circumference, and percent body fat at 8 y of age.

63 y associated with childhood BMIZ, percentage body fat at age 16/17 y, and a MetS score at age 16/17 y

64 Every additional 1% of body fat at ages 8 to 10 years decreased insulin sensiti

65 s and bioelectrical impedance measurement of body fat) at age 11.5 years using the same data set in a

66 Further adjustment for percent body fat attenuated these associations.

67 e (beta -0.54 cm, -0.61 to -0.48), and whole body fat (beta -0.38 kg, -0.43 to -0.33), and with decre

68 ence (beta 0.41 cm, 0.28 to 0.54), and whole body fat (beta 0.40 kg, 0.30 to 0.50), and with increase

69 3.13, -0.50) at 4-8 years, and lower percent body fat (beta = -2.37%; 95% CI: -4.21, -0.53) at 8 year

70 ter stability with age and estimated percent body fat better than BMI (R2 = 0.64 vs 0.38 in boys and

71 the estimated mean difference in percentage body fat between the intervention and control at 12 mo w

72 ation score (BMI-SDS), fat mass index (FMI), body fat % (BF%), and waist circumference (WC).

73 Percentages of body fat (BF) and skeletal muscle mass (SM) were calcula

74 BMI), BMI-adjusted waist-to-hip ratio (WHR), body fat (BF) percentage and estimated glomerular filtra

75 ore (WZ), fat-free mass (FFM), percentage of body fat (%BF), and modifiable lifestyle factors for all

76 d 7 years, and fat mass index (FMI), percent body fat (%BF), and waist circumference (WC) at 7 years.

77 Associations between PFAA and body fat% (BF%) and plasma lipids SDS at 3 months and 18

78 ant-based diets may help improve measures of body fat, blood cholesterol, glucose metabolism, and inf

79 from FFQs and 7-d food records; measures of body fat, blood lipids, glucose metabolism, and inflamma

80 nsor enables easily applicable and hand-held body fat burn monitoring for personalized and immediate

81 WO3 nanoparticles that can accurately follow body fat burn rates in real time.

82 Yet suitable biomedical sensors to monitor body fat burn rates in situ, to guide physical activity

83 Individual alleles associated with higher body fat % but lower liver fat and lower risk of type 2

84 ion on body weight, waist circumference, and body fat by conducting a systematic review and meta-anal

85 t obesity, generally defined by an excess of body fat causing prejudice to health, can no longer be e

86 males disproportionately affected in percent body fat change.

87 fat diet (HFD) showed striking reductions in body fat compared to control mice (Ctrl).

88 roup (n = 13) with a median decrease of 2.1% body fat compared with a non-exercising group (n = 7) (0

89 t circumference, and waist-to-hip ratio) and body fat composition (total body fat percentage and trun

90 marked improvement in glucose metabolism and body-fat composition, including liver-fat content.

91 oratory assessment.Nonlean individuals (high body fat) consumed most of their calories 1.1 h closer t

92 rowing evidence points to factors other than body fat content and fat distribution in determining a h

93 myofibers also led to reductions in overall body fat content and improved glucose metabolism in mice

94 g BMI is associated with larger increases in body fat content in Asians, growing evidence points to f

95 Because of the difficulties of normalizing body fat content in patients with severe obesity, more a

96 had significantly greater body weight gain, body fat content, and glucose intolerance.

97 meters (body weight changes, hormone levels, body fat content, and glucose tolerance) in the exposed

98 ng a protective physiologic effect of higher body-fat content in later life.

99 fter adjustment for age, race, percentage of body fat, daily vigorous exercise, perceived stress, dep

100 y weight z-score (decrease of 3.1%), percent body fat (decrease of 2.4%), and percent trunk fat (decr

101 imate whole-body fat percentage and diagnose body fat-defined overweight or obesity.

102 Adolescents who gained body fat did not show a reduction in responsivity of rew

103 alth (mHealth) obesity prevention program on body fat, dietary habits, and physical activity in healt

104 Excess body fat diminishes muscle protein synthesis rates in re

105 sistance and associated risk factors such as body fat distribution and ectopic lipid deposition.

106 nd examined depot-specific associations with body fat distribution and insulin sensitivity (S(I)).

107 blicly available, will inform the biology of body fat distribution and its relationship with disease.

108 with SIClamp in Caucasian Americans, whereas body fat distribution and lean mass showed stronger corr

109 ad to loss of ACVR1C gene function influence body fat distribution and protect from type 2 diabetes.

110 A methylation is known to be associated with body fat distribution and the etiology of PCOS, we condu

111 The genetic determinants of body fat distribution are poorly understood.

112 new insights into the underlying genetics of body fat distribution by conducting sample-size-weighted

113 RSPO3 may also promote upper-body fat distribution by stimulating abdominal adipose p

114 s evidence that higher body fat and visceral body fat distribution caused elevated ACR, while a metab

115 Variation in body fat distribution contributes to the metabolic seque

116 aling in SAT endothelium in regulating whole-body fat distribution for metabolic health and highlight

117 onal diabetes is associated with unfavorable body fat distribution in offspring.

118 We hypothesized that detailed body fat distribution measures might be more strongly as

119 Studying detailed body fat distribution measures might provide better insi

120 e stress (Montreal Imaging Stress Task), and body fat distribution were measured using advanced magne

121 cluding type 2 diabetes (T2D), lipid levels, body fat distribution, and adiposity, although most caus

122 e-treated mice showed identical weight gain, body fat distribution, and insulin sensitivity compared

123 o adjusted for BMI (WHRadjBMI), a measure of body fat distribution, associates with increased risk fo

124 dence-based research is discussed concerning body fat distribution, dyslipidemia, hypertension, diabe

125 nome-wide association study meta-analysis of body fat distribution, measured by waist-to-hip ratio (W

126 isease were also associated with a favorable body fat distribution, with a lower waist-to-hip ratio (

127 mericans that is reflected in the pattern of body fat distribution.

128 differentiation and contribute to changes in body fat distribution.

129 etic susceptibility to overall adiposity and body fat distribution.

130 ave identified numerous loci associated with body fat distribution.

131 etric measurements, blood pressure and total body fat distribution] of these adolescents were collect

132 Body-fat distribution is a risk factor for adverse cardi

133 al-energy X-ray absorptiometry (DXA) derived body-fat distribution traits.

134 nal factors on glucose and lipid metabolism, body-fat distribution, and liver fat content in subjects

135 We analyzed the association of body-fat distribution, assessed by waist-to-hip ratio ad

136 ipocyte kinetics in individuals with varying body fat distributions and degrees of metabolic health a

137 ivity levels; higher percent trunk and total body fat (e.g. NH white men, X +/- SE, 25.3 +/- 0.2% com

138 iants are also associated with reduced lower-body fat, enlarged gluteal adipocytes and insulin resist

139 te sex-specific genetic correlations amongst body fat %, fat mass, fat-free mass, physical activity,

140 ysical activity, except in the case of whole body fat, for which the protective effects were stronger

141 NR increased body fat-free mass (62.65% +/- 2.49% compared with 61.32

142 The primary outcome was change in percent body fat from baseline to 16 weeks.

143 and fat-free mass indices and percentage of body fat from bioimpedance; waist circumference; overwei

144 abitually low calcium intakes would decrease body fat gain compared with girls who continued their lo

145 t difference between groups in percentage of body fat gain over 12 mo (mean +/- SEM: dairy 0.40% +/-

146 The effect of RS was evaluated by monitoring body fat, glucose metabolism, gut hormones, gut microbio

147 n MDE restrictions and shifts in measures of body fat, glucose, insulin, or C-reactive protein were o

148 rs, reduced lipid resorption, and changes in body fat homeostasis.

149 natal BPA exposure is associated with higher body fat, impaired glucose tolerance, and reduced insuli

150 EC-AGO1-KO, evident by lower body weight and body fat, improved insulin sensitivity, and enhanced ene

151 ls of the effect of dairy food on weight and body fat in adolescents have been reported to our knowle

152 nergy surfeit, predicted future increases in body fat in both studies.

153 ower body mass index (BMI) and percentage of body fat in children.

154 and scFEM depots and was related to percent body fat in each depot.

155 re leanest during early childhood and regain body fat in later childhood.

156 urinary phthalate concentrations and percent body fat in models examining continuous exposures.

157 tant starch (RS) has been reported to reduce body fat in obese mice.

158 sa shows a stronger genetic correlation with body fat % in females, whereas education years is more s

159 tatus (indicated by weight, body mass index, body fat) in a cross-section, but longitudinal analyses

160 creased insulin, leptin, weight, and percent body fat) in the Long-Evans, but not Sprague-Dawley, str

161 osition, waist circumference, and percentage body fat] in children and adolescents.

162 n body weight, BMI, waist circumference, and body fat, independent of calorie restriction, through a

163 Ringed seal body fat index was higher in years of earlier sea ice br

164 regression as the way of finding the optimal body fat index.

165 d multidimensional niche metrics, as well as body fat indices for both species.

166 To compare the accuracy of BMI vs other body fat indices of the form body mass divided by height

167 rns in Hg concentration, niche dynamics, and body fat indices.

168 After 6 mo, total body fat, interleukin IL-6, and hepcidin were significan

169 ecause the correct regression model (percent body fat is proportional to mass divided by heightn) sug

170 e mass and function loss with an increase in body fat, is associated with physical limitations, cardi

171 I; kg/m(2)), waist circumference (cm), whole body fat (kg), and obesity (WHO criteria of BMI >/=30 kg

172 Body fat, leptin, and insulin were increased in male, bu

173 m body mass divided by heightn in estimating body fat levels in adolescents.

174 replacing BMI z scores with TMI to estimate body fat levels in adolescents.

175 The tri-ponderal mass index estimates body fat levels more accurately than BMI in non-Hispanic

176 etric data were used to determine changes in body fat levels, body proportions, and the scaling relat

177 ogical night, than did lean individuals (low body fat) (log-rank P = 0.009).

178 ocaloric KD was not accompanied by increased body fat loss but was associated with relatively small i

179 ines the neuroendocrine axis of serotonergic body fat loss in Caenorhabditis elegans.

180 Body fat loss slowed during the KD and coincided with in

181 feeding and metabolism, is a major driver of body fat loss.

182 I -1.6 to -0.3, p = 0.0073), decreased whole-body fat mass (-1.8 kg, 95% CI -2.9 to -0.7, p = 0.0016)

183 hole-body lean mass (-1.0 +/- 0.2 kg), whole-body fat mass (-6.9 +/- 0.5 kg), appendicular lean mass

184 with an adjusted 1.3 points lower percentage body fat mass (95% CI: -2.2, -0.4; P = 0.005) and an adj

185 order to determine the correlation of BMI or body fat mass (BFM) with blood pressure, fasting blood g

186 als were eradicated when normalised to whole-body fat mass (P = 0.416).

187 In vivo, HSF1 antagonizes AMPK to control body fat mass and drive the lipogenic phenotype and grow

188 waist circumference, skinfold thickness, and body fat mass in 1,301 children from six European birth

189 entified homeostat for body weight regulates body fat mass independently of fat-derived leptin, revea

190 lue < 0.001, 0.01 < eta(2) < 0.14) for whole body fat mass percentage and index of low muscle mass.

191 Although whole-body fat mass was not affected, visceral adipose tissue

192 increases nutrient oxidation, and decreases body fat mass without altering food intake, lean body ma

193 NX rats show increased food intake, enhanced body fat mass, and elevated plasma levels of triglycerid

194 nd A reduced body weight, food intake, whole-body fat mass, and intramuscular triglycerides compared

195 ion patterns were observed for obesity risk, body fat mass, fat percentage, fat mass index, and waist

196 obese individuals are proportional to whole-body fat mass, suggesting a compensatory down-regulation

197 bolished when values are normalised to whole-body fat mass.

198 GPRKO female mice is due to the reduction in body fat mass.

199 Body-fat mass and distribution, liver fat, and liver iro

200 ent for demographic, behavioral, and ectopic body fat measures did not explain racial/ethnic differen

201 commuters had significantly lower percentage body fat (men: -1.32% [95% CI -1.53 to -1.12], p<0.0001;

202 Most importantly, we found that the body fat metabolism was especially pronounced for most v

203 ath acetone levels that indicate intensified body fat metabolism, as validated by parallel venous blo

204 BMI z scores and percentages of body fat of children in the DHA group did not differ fro

205 usal, increasing, the effect of both BMI and body fat on loneliness.

206 rt for dairy food as a stratagem to decrease body fat or weight gain in overweight adolescent girls.

207 139 men and 82 788 women for the percentage body fat outcome.

208 LCHF) diet markedly increases rates of whole-body fat oxidation during exercise in race walkers over

209 Furthermore, whole-body fat oxidation was less (P < 0.001) and CHO oxidatio

210 iated with markedly increased rates of whole-body fat oxidation, attaining peak rates of 1.57 +/- 0.3

211 iver glycogen utilization, and reduced whole-body fat oxidation.

212 expenditure, driven by an increase in whole-body fat oxidation.

213 with NAFLD also had a higher amount of total body fat (p < 0.001) and subcutaneous fat (p < 0.001) th

214 subcutaneous abdominal fat (P=0.47) or lower body fat (P=0.30).

215 ss (FM), fat-free mass (FFM), and percentage body fat (PBF) by gestational age (GA), with the use of

216 dy weight, body mass index (BMI), percentage body fat (PBF), and waist, hip, arm, and thigh circumfer

217 dy weight, body mass index (BMI), percentage body fat (PBF), and waist, hip, arm, and thigh circumfer

218 There was a significant difference in the body fat percent (mean +/- sd) between non-fasters (32.3

219 ly low mean waist circumference and low mean body fat percent (P < 0.05).

220 mes after adjusting for covariates including body fat percent.

221 ficantly reduce body weight z-score, percent body fat, percent trunk fat, and serum level of interleu

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

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

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

225 [95% CI 0.066, 0.174]; P = 1E-5) and higher body fat percentage (0.301% [0.230, 0.372]; P = 1E-16) c

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

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

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

229 8, 95%CI: 1.31-1.91; Ptrend < 0.0001), total body fat percentage (HR = 1.27, 95%CI: 1.06-1.53; Ptrend

230 [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

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

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

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

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

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

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

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

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

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

240 Body fat percentage and activity intensity appear to mod

241 9 years of age were useful to estimate whole-body fat percentage and diagnose body fat-defined overwe

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

260 Humans also had the greatest body fat percentage.

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

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

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

264 for association with maximum BMI and percent body fat (PFAT) in 5,870 and 912 Pima Indians, respectiv

265 Outcomes were body mass index and body-fat phenotypes measured from anthropometry (ages 4,

266 Analyses of body fat, plasma hormone levels, and visceral white adip

267 s causal for decreased fat mass, with higher body fat % possibly being a causal risk factor for ADHD

268 intervention were associated with changes in body fat (r = 0.39, P = 0.01) and LBM (r = -0.34, P = 0.

269 Overall primary outcome was body fat redistribution, and the main specific end point

270 Adolescents who gained body fat reported significantly greater milkshake wantin

271 0.5] and 2.9% increase (95% CI: 0.3, 5.5) in body fat, respectively.

272 s divided by heightn) suggested that percent body fat scales to height with an exponent closer to 3,

273 ake of 40 g of RS is effective in modulating body fat, SCFAs, early-phase insulin and GLP-1 secretion

274 ents characterized by a high accumulation of body fat (severe obesity).

275 ups.Our findings that the dairy group gained body fat similar to the control group provide no support

276 One important determinant of whole-body fat storage is whether an animal is male or female.

277 e by informing the brain about the status of body fat stores.

278 after adjustment for age, sex, percentage of body fat, sun exposure, physical activity, and dietary v

279 Percentage of total body fat (TBF) was assessed by body impedance.

280 ssociations for smoking and alcohol, but not body fat, tended to be stronger for sessile serrated ade

281 3DO body fat test-retest precision was: root mean squared er

282 dpn-rtTA x TetO-hLAL) gained less weight and body fat than did control mice fed a high-fat diet, resu

283 sus those who showed stability of or loss of body fat, though these effects were partially driven by

284 Subjects lost weight and body fat throughout the study corresponding to an overal

285 Percent body fat varied with both age and height during adolesce

286 rs: liver fat, kidney filtration, percentage body fat, visceral fat mass, lean body mass, cardiopulmo

287 There were no differences in gender, BMI, % body fat, visual acuity or contrast sensitivity between

288 Body fat was not influenced by the diet assignment.Dairy

289 e were also positive associations of percent body fat, WC, and waist-to-hip ratio with NAFLD, with HR

290 ng body mass index, waist circumference, and body fat were associated with greater left ventricular (

291 etry, and increasing waist circumference and body fat were associated with worse global longitudinal

292 ass (kg), fat-free mass (kg), and percentage body fat were estimated using the lambda-mu-sigma (LMS)

293 e blood as well as waist circumference and % body fat were lower post intervention in the RS4 group c

294 ight (m)2), waist circumference, and percent body fat were measured at annual or semiannual examinati

295 nflammation, hyperinsulinemia, and increased body fat, which are signatures of diet-induced diabetes

296 mass index, waist circumference, and percent body fat, while 2,5-dichlorophenol was positively associ

297 nt depressive symptoms, parental depression, body fat, while life stress and household income have we

298 Adolescents who gained body fat, who largely remained in a healthy weight range

299 mass index, waist circumference, and percent body fat with conventional and advanced measures of card

300 Despite similar percent body fat, youth with IGT versus NGT had higher GlyRa, lo