ライフサイエンスコーパス: body mass

1 ing MS relative to weight (handgrip strength/body mass).

2 AN, ADAMTSL3, and IRS1 for appendicular lean body mass.

3 here has been a genetic change towards lower body mass.

4 muscle mass and is therefore associated with body mass.

5 h could be estimated from knowing a species' body mass.

6 in subfossil and modern species scaled with body mass.

7 ions were significantly altered by increased body mass (90 of 130) and T2DM (56 of 130).

8 ts in FFM were commensurate with the reduced body mass; although men in the CR group lost more FFM th

9 Per kg body mass, an infant will receive a nearly four times gr

10 proach, we examined the relationship between body mass and demography in a small mammal population th

11 wide association studies for whole body lean body mass and find five novel genetic loci to be signifi

12 that despite a positive association between body mass and fitness, there has been a genetic change t

13 VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms

14 ividuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) su

15 was found to have beneficial effects on lean body mass and leg power in elderly men.

16 capillary wedge pressure was correlated with body mass and plasma volume in obese HFpEF (r=0.22 and 0

17 gation of the underlying coupled dynamics of body mass and population growth has been lacking.

18 We controlled for phylogenetic relatedness, body mass and the size of the plots over which densities

19 ts may cause larger seasonal fluctuations in body mass and vital rates.

20 reased serum levels of WISP2, increased lean body mass and whole body energy expenditure, hyperplasti

21 n occurs; how EWL and die-off risk vary with body mass; and how die-off risk is affected by climate w

22 Genes near loci regulating total body mass are enriched for expression in the CNS, wherea

23 (meldonium, n = 8) for 10 days [1.6 g kg(-1) body mass (BM) day(-1) days 1-2, 0.8 g kg(-1) BM day(-1)

24 s such that extinction risk changes around a body mass breakpoint of 0.035 kg, indicating that the li

25 rmonal bionic pancreas initialised only with body mass can safely reduce mean glycaemia and hypoglyca

26 s, clearance of Htt aggregates and preserves body mass compared with HD mice homozygous for CK2alpha'

27 orphology and function depend on the type of body mass composition.

28 Lean body mass, consisting mostly of skeletal muscle, is impo

29 October body mass (CV = 2.5%) increased over the study due to hi

30 Body mass decreased by 17.6% and then dramatically incre

31 isms were significantly associated with lean body mass either genome wide (p < 5 x 10(-8)) or suggest

32 With an estimated body mass exceeding 1,300 kg, B. markmitchelli was much

33 Late winter (April) body mass explained 88% of the between-year variation in

34 nd skeletal muscle ammonia, increase in lean body mass, improved grip strength, higher skeletal muscl

35 an understanding of the importance of size (body mass) in structuring these communities.

36 s), history of near-fatal asthma (+1 point), body mass index >/=25kg/m(2) (+1 point), obstructive sle

37 dered a problem of Western nations, obesity (body mass index >/=30 kg/m(2)) has rapidly increased sin

38 line (age 45-64 years; risk factors included body mass index >/=30, current smoking, hypertension, di

39 Subjects with obese HFpEF (body mass index >/=35 kg/m(2); n=99), nonobese HFpEF (bo

40 ome and/or revascularization, with >/=1 LRF (body mass index >27 kg/m(2), self-reported physical inac

41 CHA2DS2-VASc score of >/=2, sleep apnea, or body mass index >30 kg/m(2).

42 index >/=35 kg/m(2); n=99), nonobese HFpEF (body mass index <30 kg/m(2); n=96), and nonobese control

43 irst-degree family history of breast cancer, body mass index (>25 vs 18.5-25), history of benign brea

44 sting for phenotypic resistance profile, low body mass index (<18.5 kg/m2), human immunodeficiency vi

45 -4.95 to -0.75]; 19 trials [n = 9325]), and body mass index (-0.41 [95% CI, -0.62 to -0.19]; 20 tria

46 ocardial infarction (28% versus 22%), higher body mass index (31 versus 29 kg/m(2)), worse Minnesota

47 ] vs 10 years [range, 2-26 years]), and mean body mass index (31.4 kg/m(2) [range, 24.7-48.1 kg/m(2)]

48 ar ejection fraction (B=-0.81, SE=0.20), and body mass index (B=-3.55, SE=0.46; P<0.001).

49 ncing age (beta, -0.14; P < .001), increased body mass index (beta, -0.15; P = .001), spherical equiv

50 cts on height (>2.4 cm), weight (>5 kg), and body mass index (BMI) (>3.5 kg/m(2)).

51 ger), which were predictive of having a high body mass index (BMI) and being obese.

52 tained by a modified diet history method) on body mass index (BMI) and body fat percentage.Results:AM

53 ing pregnancy was associated with children's body mass index (BMI) and detailed measures of body comp

54 o determine if associations between maternal body mass index (BMI) and offspring systemic cardio-meta

55 Perfluoroalkyl substances (PFAS) may affect body mass index (BMI) and other components of cardiometa

56 udy the associations between early pregnancy body mass index (BMI) and rates of cerebral palsy by ges

57 gate the association between early pregnancy body mass index (BMI) and the risk of childhood epilepsy

58 e risk score for obesity (GPRS-obesity) with body mass index (BMI) and waist circumference (WC) was m

59 Anthropometric indices including body mass index (BMI) and waist circumference (WC) were

60 d Nutrition Examination Survey, we regressed body mass index (BMI) and waist-to-height ratios on urin

61 ure-time physical activity (LTPA) and higher body mass index (BMI) are independently associated with

62 Results were similar using body mass index (BMI) as an anthropometric indicator of

63 diatric patients were identified as having a body mass index (BMI) at or above the 85th percentile an

64 l sclerosis (ALS) may be associated with low body mass index (BMI) at the time of diagnosis.

65 Further adjustment for body mass index (BMI) attenuated these associations but

66 r TCF7L2, CDKN2AB and CDKAL1) overestimated (body mass index (BMI) decreasing) and one (near MTNR1B)

67 Secular trends in blood pressure (BP) and body mass index (BMI) during childhood and adolescence a

68 cations occur more frequently and at a lower body mass index (BMI) in Asians than in European populat

69 ght gain (GWG) during pregnancy and maternal body mass index (BMI) in early pregnancy are associated

70 High body mass index (BMI) is an important contributor to the

71 Body mass index (BMI) is used to diagnose obesity in ado

72 n (SD) age of 15.1 (1.7) years and mean (SD) body mass index (BMI) of 30.2 (3.5) kg/m(2) in obese and

73 erform kidney transplant in individuals with body mass index (BMI) of 40 kg/m or greater.

74 Calcium retention increases with increasing body mass index (BMI) on recommended calcium intakes.

75 Prior to the onset of AN, premorbid body mass index (BMI) spans the entire range from underw

76 The total mean body mass index (BMI) was 24.7 +/- 4.2 kg/m(2).

77 Child Feeding Questionnaire, and children's body mass index (BMI) was measured.

78 Changes in body mass index (BMI) were based on SSB consumption, BMI

79 x SNP interaction association analyses with body mass index (BMI) were evaluated in the 100 subjects

80 Paternal age or body mass index (BMI) were not associated with NAFLD in

81 sures might be more strongly associated than body mass index (BMI) with childhood asthma.

82 ity, we sought to examine the association of body mass index (BMI) with FPM/SPM emergence in a repres

83 dy was aimed to determine the association of body mass index (BMI) with mortality and functional outc

84 posure to p,p'-DDE and adiposity assessed by body mass index (BMI) z-score.

85 re for waist-to-hip ratio (WHR) adjusted for body mass index (BMI), a measure of abdominal adiposity,

86 , and at 1, 3, and 6 months included weight, body mass index (BMI), body composition, muscle strength

87 ations were identified between tiredness and body mass index (BMI), C-reactive protein, high-density

88 site, patient age, reported smoking history, body mass index (BMI), diabetes, HIV, and all other resi

89 studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to n

90 Independent predictors of MAC-PP were low body mass index (BMI), radiographic nodular-bronchiectat

91 tic relation with 10 obesity-related traits [body mass index (BMI), waist circumference (WC), high-de

92 ponses used in the statistical analyses were body mass index (BMI), waist circumference (WC), serum a

93 ntral obesity with hypertension, and between body mass index (BMI), waist circumference (WC), waist-t

94 Stress-T1, body mass index (BMI)-T1 and HRQoL-T0 significantly and

95 l differences in food craving and changes in body mass index (BMI).

96 residual confounding by healthy lifestyle or body mass index (BMI).

97 ypothesis" linking food insecurity to a high body mass index (BMI).

98 terol, higher total homocysteine, and higher body mass index (BMI)] and greater odds of large-vessel

99 Body mass index (BMI, calculated as weight in kilograms

100 Achieving a body mass index (BMI, calculated as weight in kilograms

101 use epigenome-wide association to show that body mass index (BMI; a key measure of adiposity) is ass

102 .0 +/- 0.03 g/cm(2) for groups with baseline body mass index (BMI; in kg/m(2)) >/=30 and <30, respect

103 h 350 and 33 were associated with changes in body mass index (BMI; in kg/m(2)) and Matsuda index valu

104 es were tested by analysis of variance.Three body mass index (BMI; in kg/m(2)) trajectory patterns we

105 Handgrip strength and body mass index (BMI; in kg/m(2)) were measured at basel

106 utcomes glycated hemoglobin (HbA1c), weight, body mass index (BMI; in kg/m(2)), and LDL cholesterol.

107 ts on outcomes related to weight management [body mass index (BMI; in kg/m(2)), body weight, percenta

108 ts of GS and adiposity indicators, including body mass index (BMI; in kg/m(2)).

109 Participants had above-the-median body mass index (BMI; in kg/m(2)).We enrolled 274 health

110 Participants were thin at 1 wk postpartum [body mass index (BMI; in kg/m(2)): 22.9 +/- 2.9].

111 and 155 women; mean +/- SD age: 25 +/- 6 y; body mass index (BMI; in kg/m(2)): 23 +/- 2].

112 For older groups, being overweight [body mass index (BMI; in kg/m(2)): 25 to <30] is reporte

113 e whether associations of breast cancer with body mass index (BMI; weight (kg)/height (m)2) at age 18

114 ween neighborhood food environment and adult body mass index (BMI; weight (kg)/height (m)2) derived u

115 analyses "adjusting" for height, weight, or body mass index (BMI; weight (kg)/height (m)2) measured

116 ons between neighborhood characteristics and body mass index (BMI; weight (kg)/height (m)2) were asse

117 ned the association of maternal prepregnancy body mass index (BMI; weight (kg)/height (m)2), gestatio

118 strategy, patients remained at their initial body mass index (calculated as weight in kilograms divid

119 Donor obesity, defined as donor body mass index (D-BMI) of 30 kg/m or greater, has been

120 duration; glycated hemoglobin 7.0% +/- 0.8%; body mass index (in kg/m(2)) 28.2 +/- 2.9] completed 57

121 ed trial, 220 participants aged 18-60 y with body mass index (in kg/m(2)) from 27.6 to 40.4 were incl

122 cipants.Ten healthy lean participants with a body mass index (in kg/m(2)) of 22.4 +/- 0.8 were subjec

123 imed to investigate the associations between body mass index (in kg/m(2)), fat mass, fat-free mass, a

124 en [49 men and 32 women; age range: 40-65 y; body mass index (in kg/m(2)): <35.0].

125 controlled crossover trial, 17 participants [body mass index (in kg/m(2)): 23.7 +/- 4.6] underwent 3

126 ipants [n = 20-22; women: 50%; age: 50-80 y; body mass index (in kg/m(2)): 25-30)] received food chal

127 ty-four healthy, older men [age: 62 +/- 1 y; body mass index (in kg/m(2)): 25.9 +/- 0.4 (mean +/- SEM

128 omized trial, 29 men aged >70 y [mean +/- SD body mass index (in kg/m(2)): 28.3 +/- 4.2] were provide

129 men and women [mean +/- SEM age: 35 +/- 2 y; body mass index (in kg/m(2)): 31.5 +/- 0.5] consumed an

130 hypertension (735 [69.1%]; P < .001), higher body mass index (median [IQR], 32.4 [28.1-38.3]; P < .00

131 However, sets of alleles increasing body mass index (P=2.2x10(-5)) and the risk of type 2 di

132 sk ratio 83.3/20.3, 4.1, p < 0.0001), higher body mass index (prevalence risk ratio 40.5/4.8, 8.4, p

133 ia, type 2 diabetes mellitus, and changes in body mass index (proportion accounted for, 14.5%; 95% CI

134 lcohol intake (RR, 1.33; 95% CI, 1.17-1.52), body mass index (RR, 1.40; 95% CI, 1.22-1.61), and high

135 blood pressure (Spearman r=0.28, P<0.0001), body mass index (Spearman r=0.28, P<0.0001), weaker grip

136 </=2, WHO/ECOG score </=1, age </=65 years, body mass index 19-29 kg/m).

137 5 NAFL, and 37 NASH; mean age 51.8 years and body mass index 31.9 kg/m(2) ), 66% were women.

138 sults In this obese patient population (mean body mass index = 40.3 kg/m(2); 95% confidence interval

139 aged >50 y who had knee osteoarthritis and a body mass index [BMI (in kg/m(2))] >/=30.

140 level >/= 20 for women or >/= 31 for men and body mass index [BMI] > 25 kg/m(2) ), healthy non-NAFLD

141 imary outcome measure was child weight loss (body mass index [BMI] and BMI z score) at 6, 12, and 18

142 genetic overlap with obesity-related traits (body mass index [BMI] and levels of C-reactive protein [

143 ss index [WHRadjBMI]) and general adiposity (body mass index [BMI]) with cardiometabolic disease.

144 stigated the associations between body size (body mass index [BMI], height, waist circumference, and

145 Weight or excess weight (eg, body mass index [BMI]; BMI z score, measuring the number

146 CI 1.06-1.64 per standard deviation score in body mass index [SDS-BMI]).

147 l adiposity (waist-to-hip ratio adjusted for body mass index [WHRadjBMI]) and general adiposity (body

148 nverse probability weights based on baseline body mass index and a propensity score estimated from ba

149 Blood pressure, non-fasting blood sugar, body mass index and abdominal girth were measured.

150 howed sex differences for the association of body mass index and AF (hazard ratio per standard deviat

151 ta in an analysis of the association between body mass index and all-cause mortality among people wit

152 New 2016 CDC models only adjust for body mass index and diabetes.

153 ody mass index, where the variables baseline body mass index and glycosylated hemoglobin have missing

154 Body mass index and HDL cholesterol were negatively corr

155 The association between body mass index and mortality was investigated using Cox

156 one genome-wide significant interaction with body mass index and several suggestive interactions with

157 We used body mass index and waist circumference to define genera

158 There was no significant difference in body mass index between both treatment regimens.

159 Participants were stratified based on the body mass index categories and metabolic condition.

160 ral nutrition, the survival disadvantage for body mass index categories less than 25.0 kg/m was minim

161 al or unobservable when compared with higher body mass index categories.

162 Exposure of interest was body mass index categorized into 6 groups according to t

163 eral nutrition, the risk of mortality in the body mass index category 25.0-29.9 kg/m was not statisti

164 The Asian body mass index cutoff of 25 kg/m(2) was used to define

165 Setting strict body mass index cutoffs for transplant candidacy remains

166 Compliance and body mass index did not modify the treatment effect.

167 Body mass index explained the largest proportion of AF r

168 = 0.6 SD, 95% CI: 0.2, 1.9), and had higher body mass index for age (MD = 0.6 SD, 95% CI: 0.2, 0.9).

169 riable linear regression was used to compare body mass index groups.

170 arison with in-person MESA examinations, and body mass index in HealthLNK in comparison with MESA, we

171 Elevated body mass index in midlife was associated with elevated

172 tic variants and age, sex, hypertension, and body mass index in the AFGen Consortium.

173 l suggestive interactions with age, sex, and body mass index in the discovery analysis.

174 r for increasing adiposity levels (leptin by body mass index interaction, p < .02), strengthening the

175 Body mass index is an imperfect measure of surgical risk

176 e range [IQR], 43.7-57.6 years) and a median body mass index of 27.8 kg/m(2) (IQR, 26.0-33.1 kg/m(2))

177 Patients had a mean age of 58 years, body mass index of 28 kg/m, 77% had contaminated wounds,

178 Body Mass Index of 30kg/m(2) or greater, prior combat de

179 Mean body mass index of all patients was 44 +/- 11 kg/m, mean

180 at this might in part be due to an increased body mass index or a reduced eosinophil count.

181 07) was a stronger predictor of increases in body mass index than were dysthymic disorder (B = -0.31

182 ariables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while

183 The mean body mass index was 25.5 +/- 5.2 in patients transplante

184 sults Mean (+/- standard deviation) age, and body mass index were 57.5 (+/- 10.1) years and 36.1 (+/-

185 cardiometabolic phenotypes above and beyond body mass index with subclinical measures of LV mechanic

186 mmol/L; 95% CI, -29.1 to -20.5; P < 0.0001), body mass index z score (+0.15; 95% CI, 0.08 to 0.22; P

187 Analysis of body mass index z score and fat mass in the same cohort

188 The primary outcome was 6-month change in body mass index z score.

189 Offspring body mass index z scores (BMIZs) were calculated by usin

190 n A deficiencies, inflammation, malaria, and body mass index) and distal risk factors (e.g., educatio

191 and 10 men; mean age +/- SD, 23.3 +/- 3.8 y; body mass index, 23.7 +/- 2.5 kg/m(2)) underwent (11)C-m

192 ucasian; mean age, 55.4 +/- 20.1 years; mean body mass index, 27.9 +/- 5.5 kg/m(2); mean length of BE

193 ntervention study of 44 overweight or obese (body mass index, 28-40 kg/m(2)) prediabetic men and wome

194 Of 278 participants (age, 48 years, 89% men, body mass index, 30.8 kg/m(2)), 86% completed the trial

195 1,696 exams were attempted in 992 patients (body mass index, 33.6 +/- 6.5 kg/m(2) ) with histologica

196 pertension and moderately overweight status (body mass index, 39 kg/m(2)).

197 any individual causative risk factor such as body mass index, age, or smoking status.

198 Age, hypertension, body mass index, and African-American race were independ

199 Median (interquartile range) age, body mass index, and body surface area were 68 (57-77) y

200 dditive models after adjusting for age, sex, body mass index, and estimated glomerular filtration rat

201 ase, cardiovascular disease, age>/=75 years, body mass index, and higher systolic BP.

202 risk factors such as hypertension, smoking, body mass index, and hypercholesterolemia.

203 ere frequency-matched for age, sex, baseline body mass index, and Kellgren-Lawrence score.

204 gender, duration and familial history of HS, body mass index, and location.

205 known associations between OSA and sex, age, body mass index, and medical comorbidities through multi

206 roups were well balanced in terms of weight, body mass index, and most potential confounders.

207 hemoglobin A1c, level of C-reactive protein, body mass index, and platelet count were used to develop

208 which controlled for fiber intake, sex, age, body mass index, and repeated sampling within each parti

209 o adjustment for age, sex, employment grade, body mass index, and smoking status.

210 BP, serum lipids, body mass index, and smoking were assessed in all follow

211 position, chronic illnesses, sleep problems, body mass index, and smoking.

212 interval 1.07-7.90), adjusted for age, sex, body mass index, and statin use.

213 y lipoprotein cholesterol, triglycerides and body mass index, and subsequent meta-analysis with META-

214 enetics of general adiposity, as measured by body mass index, and that of abdominal obesity, as measu

215 associated with age, female sex, height, and body mass index, and these variables accounted for 28% o

216 After adjustment for age, body mass index, aortic valve calcification density, and

217 e study and after the 6-week diet period for body mass index, body composition, hip circumference, re

218 Clinical parameters, including body mass index, CD4 cell count, HIV load, and C-reactiv

219 such as gender, race, ethnicity, education, body mass index, chronic obstructive pulmonary disease,

220 nd procedural data were collected, including body mass index, comorbidities, tumor histologic charact

221 ) and 95% CIs, with adjustments for maternal body mass index, delivery year, socioeconomic status, ag

222 ith adjustment for age, sex, race/ethnicity, body mass index, diabetes status, diagnosis year, and ca

223 There were no differences in baseline age, body mass index, diabetes, chronic obstructive pulmonary

224 , family history of cardiovascular diseases, body mass index, diabetes, smoking, sedentary behaviors,

225 Waist circumference, body mass index, fasting plasma glucose, glycohemoglobin

226 rs of age) and cardiometabolic risk factors (body mass index, fat mass index, blood pressure, physica

227 ent variable identified age, smoking status, body mass index, haemoglobin, serum uric acid, serum alb

228 cording to their lifestyle factors including body mass index, healthy diet, sedentary lifestyle, alco

229 cluded operation type, NAS >/= 5, bilirubin, body mass index, hemoglobin A1C, and dyslipidemia.

230 Achievement of ideal blood pressure, ideal body mass index, ideal glucose control, and nonsmoking w

231 s were observed between anorexia nervosa and body mass index, insulin, glucose, and lipid phenotypes.

232 atient characteristics (age, weight, height, body mass index, Karnofsky score), were merged to charac

233 Patients were well matched by age, body mass index, major comorbidities, and cardiac functi

234 y significant genetic interactions with sex, body mass index, or hypertension on AF risk.

235 d according to age and race and adjusted for body mass index, parity, and menopausal status, and the

236 Adjusting for age, sex, body mass index, physical activity, and smoking in child

237 tus, educational level, alcohol consumption, body mass index, physical activity, body fat percentage,

238 HRs) with adjustments for baseline age, sex, body mass index, physical activity, symptoms, and radiog

239 s were performed by categorizing patients by body mass index, prealbumin, transferrin, phosphate, uri

240 After adjusting for age, body mass index, race, current smoking status, and recen

241 io from a food frequency questionnaire, age, body mass index, race, supplement use, smoking status, e

242 (n = 10) subjects, matched for age, sex and body mass index, received either a 6 h lipid or glycerol

243 In a multiple variable model (including age, body mass index, sex, coronary artery calcium score, dia

244 lowest SBP stratum were older, had a higher body mass index, smoked more often, and had a higher fre

245 l environmental factors alcohol consumption, body mass index, smoking and maternal smoking during pre

246 ards models that were adjusted for age, sex, body mass index, smoking status, education, energy intak

247 al logistic regression analyses adjusted for body mass index, smoking, hypertension, diabetes, and sy

248 tion with a partner, height, early pregnancy body mass index, smoking, year of delivery, maternal pre

249 in models including adjustment for age, sex, body mass index, socioeconomic position, diet, smoking,

250 TMAO was positively associated with age, body mass index, type 2 diabetes mellitus and inversely

251 cholesterol, triglycerides, fasting glucose, body mass index, waist circumference, heart rate (HR) an

252 After accounting for body mass index, we found that central adiposity, as mea

253 Gender, body mass index, weight, vascular access type, length, s

254 effects of sulfonylureas versus metformin on body mass index, where the variables baseline body mass

255 Multivariable (age, sex, and body mass index-adjusted) linear regression models were

256 race or ethnicity, socioeconomic status, or body mass index.

257 destination therapy, and increased baseline body mass index.

258 sex, left ventricular ejection fraction, and body mass index.

259 for potentially relevant covariates, such as body mass index.

260 rs, such as smoking, alcohol consumption and body mass index.

261 lucose levels, diastolic blood pressure, and body mass index.

262 and utilization stratified by age, race, and body mass index.

263 FP edema, with adjustments for age, sex, and body mass index.

264 onocytes stratified by prepregnancy maternal body mass index.

265 how a decreased success rate with increasing body mass index.

266 levels of sputum eosinophils and had a high body mass index.

267 About 20% of the risk was observed for body mass index.

268 on equations did not capture dependencies on body mass index.

269 of severity of liver disease independent of body mass index.

270 bles assessed included: 1) periodontitis; 2) body mass index; 3) waist circumference to height (WHTR)

271 Diabetes and high body-mass index (BMI) are associated with increased risk

272 l 1, 2006, to March 31, 2011, in relation to body-mass index (BMI) at recruitment, overall and for ca

273 Lower body-mass index (BMI) z-score and household smoking were

274 tified the burden of disease related to high body-mass index (BMI), according to age, sex, cause, and

275 ts were associated with waist circumference, body-mass index (BMI), and body fat percentage.

276 The secondary outcomes were body-mass index (BMI), mood, anxiety, affective regulati

277 pulation attributable fractions for smoking, body-mass index (BMI), physical activity, alcohol intake

278 Severe obesity was defined as a body-mass index (BMI, the weight in kilograms divided by

279 at its levels are negatively correlated with body-mass index and insulin sensitivity.

280 by CT density, COPD assessment test scores, Body-mass index, airflow Obstruction, Dyspnea, and Exerc

281 nd valve disease) and non-cardiac variables (body-mass index, chronic kidney disease, and chronic obs

282 lonely individuals and others in biological (body-mass index, systolic and diastolic blood pressure,

283 rollment had their body weights measured and body mass indices calculated at baseline and at year 3.

284 ght into the genetics of lean body mass.Lean body mass is a highly heritable trait and is associated

285 d RCT was powered on a 5% difference in lean body mass (LBM) at 1 month.

286 rovide new insight into the genetics of lean body mass.Lean body mass is a highly heritable trait and

287 In children, the handgrip strength/body mass levels for a low metabolic risk were 0.359 and

288 ght, dental eruption pattern, and associated body mass of 69 notoungulate taxa, placed in their phylo

289 iated with concurrent changes in the average body mass of individuals, sometimes referred to as the '

290 the causes and consequences of variation in body mass of wild female Svalbard reindeer (Rangifer tar

291 either kinship nor familiarity was linked to body mass or telomere loss in female territory owners.

292 l boundaries over six orders of magnitude of body mass regardless of food types.

293 r substantial progress by adapting strategic body mass regulation models from evolutionary ecology to

294 April body mass showed no long-term trend (coefficient of vari

295 disruption was associated with reduced adult body mass, social avoidance, and hyperactivity.

296 athletes had greater peak power relative to body mass than other rugby athletes (14%; P = 2 x 10(-6)

297 he intra-individual change in skull size and body mass throughout the full cycle in wild recaptured s

298 d the animal's biological traits such as the body mass, typical movement velocity and the typical dur

299 bjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide poly

300 omen who later developed HF had higher total body mass when compared with those versus those who did