ライフサイエンスコーパス: body mass

1 st week of suckling did not differ by infant body mass.

2 fitness implications of variation in infant body mass.

3 ge may act through their influence on infant body mass.

4 e while the larva continues to feed and gain body mass.

5 ard chow diet (SD) irrespective of age, sex, body mass accrual and functional leptin or melanocortin-

6 urer-recommended stiffness category based on body mass and activity level, and height based on unaffe

7 erge to stimulate and propagate increases in body mass and adiposity, as well as disturbances of insu

8 e function was associated with a decrease in body mass and delayed moult in invertebrate-fed bulbuls,

9 re young or old, but the link between infant body mass and early life survival remained after control

10 The positive association between body mass and early life survival was most pronounced in

11 mitations may also affect the maintenance of body mass and key life-history events that may affect im

12 ls modify their leg movements based on their body mass and locomotor experience?

13 In contrast, greater asymptotic body mass and longer generation times were optimal at lo

14 alities but do have sex-specific deficits in body mass and motor function.

15 composition affects innate immune function, body mass and moult separately and in combination with e

16 ng the correlations between immune function, body mass and moult, showed that an increase in immune f

17 nd haemagglutination and haemolysis titres), body mass and primary moult, fortnightly.

18 on in rainfall on dominant female fecundity, body mass, and offspring survival and growth using an ad

19 for the complex survey design, demographics, body mass, and time between sleep and echocardiographic

20 ated to offspring by mothers, such as infant body mass, are predicted to have long-lasting effects on

21 enetic relatedness, we found DEE scales with body mass as log(DEE) = 2.04 + 0.95 x log(M) .

22 7 y; with percentage fat and percentage lean body mass at age 16/17 y; and with a metabolic syndrome

23 ect and indirect relationships between diet, body mass, brain mass and population density for 656 non

24 range) was estimated to increase late winter body mass by 10%.

25 Using infant body mass data that has been rarely available from free-

26 bulbuls, while fruit-fed bulbuls maintained body mass despite variation in immune function.

27 Fruit-fed bulbuls had higher body mass, earlier moult and showed higher values for tw

28 Body mass estimates based on postcranial dimensions rang

29 Because average late winter body mass explains 90% of the variation in population gr

30 trade-offs among survival, reproduction and body mass growth into structured population models and f

31 of flow on keystone megafauna species (i.e., body mass >= 30 kg) reverberate through entire food webs

32 key correlates of this contraction are large body mass, increase in air temperature, loss of natural

33 African American, 15% were Asian, 56% had a body mass index >25 (calculated as weight in kilograms d

34 iabetes (hemoglobin A1c level >8%), obesity (body mass index >30), and depressive symptoms (2-item Pa

35 than in those who were overweight or obese (body mass index >= 25), at 99.2% versus 94.6%, respectiv

36 nclusion criteria were >=18 years old, had a body mass index >=18.5, met criteria for DSM-5 binge eat

37 62.3 +/- 9.5 years, 31% were women, 55% had body mass index >=30 kg/m(2), and 71% had pharmacologica

38 Patients with obesity (body mass index >=30 kg/m) and type 2 diabetes who under

39 factors: age at onset (HR 1.047, p = 0.006), body mass index < 20 kg/m(2) at the time of gastrostomy

40 detection in patients with a normal weight (body mass index < 25) than in those who were overweight

41 -stage liver disease (aHR, 1.04; P < 0.001), body mass index <21 kg/m (aHR, 1.61; P = 0.006), and HCV

42 e (+/-3 years), year of MI (+/-3 years), and body mass index (+/-3).

43 in comorbidity numbers (+0.14 versus +0.11), body mass index (+0.14 versus +0.11 kg/m(2)), and lower

44 ncrease in ppFEV(1) (+3.67%), an increase in body mass index (+0.73 kg/m(2)), and a decrease in intra

45 childhood socioeconomic disadvantage, 45%), body mass index (40%), systolic blood pressure (29%), in

46 ethylation related to C-reactive protein and body mass index (aircraft, road traffic Lden, and PM2.5)

47 nt rate ratio [aIRR] 3.26, P = 0.004), donor body mass index (aIRR 1.25 per 5 kg/m, P = 0.01), and tr

48 Recipient obesity was defined as body mass index (BMI) >35 adjusted for ascites.

49 trajectories were compared by pre-pregnancy body mass index (BMI) <25 or >=25 kg/m(2); logistic regr

50 iparous), maternal age (<35/>=35 years), and body mass index (BMI) (<30/>=30).

51 the amygdala was negatively associated with body mass index (BMI) (in kilograms per square meter) an

52 ethnicity, average age 62.4 years (SD 10.8), body mass index (BMI) 27.1 kg/m2 (SD 4.7).

53 A second model additionally adjusted for body mass index (BMI) and a third model additionally adj

54 We used harmonised body mass index (BMI) and cardiometabolic disease risk f

55 and preterm birth according to pre-pregnancy body mass index (BMI) and maternal age.

56 calcium (CAC), but the relationship between body mass index (BMI) and mortality is complex and frequ

57 hildren is strongly associated with parental body mass index (BMI) and overweight.

58 nce of dyslipidemia and its association with body mass index (BMI) and pubertal stage.

59 s of healthy lifestyle during pregnancy with body mass index (BMI) and risk of overweight or obesity

60 serum markers (albumin <3.5 g/dL) as well as body mass index (BMI) as a marker of obesity (BMI > 30 k

61 n 2 medications at moderate doses and with a body mass index (BMI) between 30.0 and 39.9 kg/m(2) were

62 whether the effect on mortality of a higher body mass index (BMI) can be compensated for by adherenc

63 risks of subtypes of vascular disease across body mass index (BMI) categories.

64 xposure and asthma symptoms and morbidity by body mass index (BMI) category.

65 We hypothesized that body mass index (BMI) could help to explain the associat

66 dings on the small proportion of variance in body mass index (BMI) explained by shared environment, a

67 tem cell types spanning 17 mouse organs with body mass index (BMI) genome-wide association study (GWA

68 A body mass index (BMI) genome-wide polygenic score (BMIGP

69 al studies of the general population, higher body mass index (BMI) has been associated with increased

70 e associations with lung size, age, sex, and Body Mass Index (BMI) in healthy subjects across a seven

71 Body mass index (BMI) is a known risk factor associated

72 OD was significantly higher in subjects with body mass index (BMI) less than 25 kg/m(2) (n = 13) comp

73 rway participated with repeated standardized body mass index (BMI) measurements from 1966 to 2019 and

74 asthma, vitamin D insufficiency, and excess body mass index (BMI) might share both peripheral blood

75 ng on weight and metabolism in adults with a body mass index (BMI) of 19-27 kg/m(2).(10-18) Twelve he

76 The mean body mass index (BMI) of the participants was 20 kg/m2 a

77 t populations are lacking, and the effect of body mass index (BMI) on COVID-19 outcomes- particularly

78 mate the relevance of waist-to-hip ratio and body mass index (BMI) to CKD prevalence.

79 The summary RR per 5 kg/m(2) increase in body mass index (BMI) was 1.11 (95% CI 1.05-1.18, I(2) =

80 Pre-procedure body mass index (BMI) was 46.01 +/- 4.07 kg/m with a pos

81 A J-shaped relationship of body mass index (BMI) with severe periodontitis has been

82 which adjusted for the effects of LDL, TGs, body mass index (BMI), and age at menarche, corroborated

83 After adjusting for age, sex, body mass index (BMI), and tonsil size (TS), the grade I

84 Genome-wide association studies of UNa, body mass index (BMI), BMI-adjusted waist-to-hip ratio (

85 most pronounced by sex, race/ethnicity, and body mass index (BMI), but transcriptome correlates were

86 erol concentrations, lymphocyte counts, age, body mass index (BMI), complications, and mortality were

87 , physical activity, menopausal hormone use, Body Mass Index (BMI), diabetes, and other risk factors.

88 justing for variables including age, initial body mass index (BMI), duration of T2DM, and weight loss

89 The secondary endpoints included body mass index (BMI), glucose control, blood pressure,

90 Body weight, body mass index (BMI), percentage body fat (PBF), and wa

91 ciations between PFAA and standardized (SDS) body mass index (BMI), ponderal index, and waist circumf

92 , deprivation, glycated haemoglobin (HbA1c), body mass index (BMI), smoking status, comorbidities, co

93 the key exposures) and (ii) associations of body mass index (BMI), smoking, alcohol intake, parity a

94 We obtained baseline data on body mass index (BMI), smoking, education, and previous

95 unction and autoimmunity, adjusting for age, body mass index (BMI), specific gravity (SG), and, for t

96 To detect obesity with body mass index (BMI), the meta-analyses rendered a sens

97 ents and derived health indices, such as the body mass index (BMI), the waist-hip-ratio (WHR) and wai

98 veloped algorithm which combines measures of body mass index (BMI), waist circumference, triglyceride

99 s continuous variables-in the case of age or body mass index (BMI)-or as categorical variables in the

100 neurological traits, including education and body mass index (BMI).

101 Adjustment parameters included sex, age and body mass index (BMI).

102 ue to high alcohol consumption and increased body mass index (BMI).

103 n groups with respect to glycemic status and body mass index (BMI).

104 ted with a lower increase in body weight and body mass index (BMI).

105 he FTO variant has also been associated with body mass index (BMI).

106 parameters, nerve conduction, strength, and body mass index (BMI).ResultsTwenty participants with DP

107 Body mass index (BMI, from measured height and weight) w

108 Body mass index (BMI; calculated as weight in kilograms

109 Being female (P = .004) and having a lower body mass index (BMI; P = .003), higher white blood cell

110 r African American and 15% Asian, the median body mass index (calculated as calculated as weight in k

111 tion of bariatric surgery in patients with a body mass index (calculated as weight in kilograms divid

112 079413 (SNORA54; NAP1L4) was associated with body mass index (corrected MR, P=1x10(-6)).

113 ), which was attenuated after adjustment for body mass index (HR, 1.07; 95% CI, 0.75 to 1.52).

114 5, 95% confidence interval [CI]: 1.05-1.06), body mass index (OR: 0.98, 95% CI: 0.96-1.00), and ocula

115 g (OR: 0.99; 95% CI: 0.98, 0.995; P = .001), body mass index (OR: 1.06; 95% CI: 1.02, 1.10; P = .003)

116 2), recipient age (p = 0.0139) and recipient body mass index (p = 0.0017) were associated with DGF.

117 of previous abdominal surgery (P = 0.02) and body mass index (P = 0.005) were associated with SEVERE

118 (P = 0.49), region of habitation (P = 0.11), body mass index (P = 0.68), level of education (P = 0.26

119 ned significant after further adjustment for body mass index (P=0.01).

120 lacebo); they had a mean age of 33 years and body mass index (weight (kg)/height (m)2) of 29.8.

121 We compared the trajectories of body mass index (weight (kg)/height (m)2), alternate Med

122 Those with higher baseline body mass index (z-score; 1.72 aHR; 95% CI: 1.39-2.14),

123 We recruited 80 volunteers (35 controls [body mass index 24+/-3 kg/m(2)], 45 obese [body mass ind

124 n (standard deviation): age 44.6 yrs (13.0), body mass index 25.4 kg/m2 (3.6), 60.1% females] without

125 iratory distress syndrome (age 64 +/- 15 yr, body mass index 26 +/- 6 kg/m, PaO2/FIO2 147 +/- 42, and

126 Mean patient age was 67 years, body mass index 27.4 kg/m and 65% had stage I disease.

127 Obese subjects (body mass index 35 to 55 kg/m(2)) were randomized 1:1 to

128 [body mass index 24+/-3 kg/m(2)], 45 obese [body mass index 35+/-5 kg/m(2)]) without coexisting card

129 elve subjects (mean +/- SEM, 42 +/- 2 years, body mass index 37.4 +/- 1.2 kg/m(2) , glucose 103 +/- 2

130 (59%), African American (68%), obese (median body mass index 41), and hypertensive (98%), with clinic

131 ort (78% female; median age 47 years; median body mass index 46 kg/m).

132 770; 80% female, median age 45 years, median body mass index 47 kg/m) self-reported smoking history p

133 ssed their penetrance and effect on obesity (body mass index [BMI] >= 30 kg/m2) in >450,000 individua

134 : 1-9] years; mean HbA1c 7.4% +/- 1.7%; mean body mass index [BMI] 25.3 +/- 4.0 kg/m2) were followed

135 interquartile range [IQR]: age = 28 [25-32], body mass index [BMI] = 35.4 [28.2-41.5]).

136 Baseline body mass index also was not associated with risk of inc

137 etabolic phenotypes (e.g., r(g) = -0.25 with body mass index and -0.20 with triglycerides).

138 lly mediated the associations between higher body mass index and black race with worse GLS.

139 index category; two-way interactions between body mass index and each covariate were also evaluated.

140 10 years, we measured general fat including body mass index and fat mass index by dual-energy X-ray

141 Maternal body mass index and gestational weight gain predict futu

142 some metabolites in individuals with higher body mass index and greater excursions in select cardiop

143 wever, LCN2 serum levels also correlate with body mass index and insulin resistance in the same indiv

144 ox is more than a simple association between body mass index and mortality and reinforces the importa

145 The relationship between body mass index and NAFLD severity was significantly mod

146 *2 might modify the association between high body mass index and NAFLD severity.

147 ion models with and without consideration of body mass index and sex, we identified 61 loci that are

148 n concentrations were affected by gestation, body mass index and smoking.

149 icant association between higher LV mass and body mass index and, in men, associations with coronary

150 rge effects (e.g. ~ 1.28 kg/m2 per allele in body mass index as the most significant; P = 7.5 x 10-5)

151 Patients were categorized by body mass index as underweight, normal weight, overweigh

152 on 5.75:1) and with age, renal function, and body mass index but not with left ventricular ejection f

153 e levels with no mortality benefit in higher body mass index categories observed at lactate greater t

154 MAP and higher mortality was constant across body mass index categories.

155 to estimate the odds of in-hospital death by body mass index category; two-way interactions between b

156 Body mass index differences largely accounted for HFpEF

157 Human Mortality Database for the UK (2015); body mass index distribution from the Health Survey for

158 s in standardized weight, length/height, and body mass index during 5 age periods (conception to birt

159 Adjustment for body mass index eliminated the association with endometr

160 There was a significant reduction in body mass index following BS from 49.7+/-9 to 37.2+/-9 k

161 ive antenatal time points, measured maternal body mass index in early pregnancy, extracted data on di

162 vidence (education, cognitive activity, high body mass index in latelife, hyperhomocysteinaemia, depr

163 ation, and to test whether alcohol intake or body mass index interacts with polygenic predisposition.

164 d that genetically based obesity measured by body mass index is causally associated with risk of aort

165 x, between 8.4% and 36.7% of patients with a body mass index of >=25 kg/m(2) were moderately or sever

166 A 60-year-old woman with a body mass index of 25 kg/m(2), no use of hypertension tr

167 9.9 years, whereas a 70-year-old man with a body mass index of 30 kg/m(2), use of hypertension treat

168 ered for patients with type 2 diabetes and a body mass index of 30 to 35 if hyperglycemia is inadequa

169 fibrosis and less weight loss (reduction in body mass index of 6.3 +/- 4.1 kg/m(2) in patients with

170 pient (OR, 0.91 [0.84-0.96]; P = 0.003), the body mass index of donors (odds ratio [OR], 1.22 [1.04-1

171 decrease in ppFEV(1), without improvement in body mass index or decrease in intravenous antibiotic co

172 Median body mass index percentile was 54% (IQR, 32.5%-69.5%).

173 of incidentally identified papilledema, and body mass index similar to that of younger IIH patients.

174 etagenomes of the cross-sectional MetaCardis Body Mass Index Spectrum cohort (n = 888), we identify s

175 In midlife, cases had higher body mass index than controls (mean difference (MD) = 0.

176 a lower mean serum level of cholesterol and body mass index than mice fed the control bacteria.

177 Lean NAFLD was defined when a body mass index was <25 kg/m2.

178 Body Mass Index was 24.7 kg/m(2) [IQR, 21.9-28.4 kg/m(2)

179 Median body mass index was 27.4, 32% demonstrated a Charlson Co

180 Mean age was 69 +/- 11.5 years and mean body mass index was 31 +/- 7 kg/m.

181 male, median age was 65.7 years, and median body mass index was 31.5 kg/m2.

182 At baseline, the mean body mass index was 31.6 (SD, 5.6), 28.7% had diabetes,

183 Body mass index was an important mediator (11.5%; P < 0.

184 A 1-kg/m(2) increase in body mass index was associated with causal risk ratios f

185 For every 1-unit increase, body mass index was associated with increased likelihood

186 Genetically increased body mass index was causally associated with increased r

187 in sex, performance status, comorbidity, or body mass index was found.

188 Body mass index was not associated with admission levels

189 ity benefit observed in patients with higher body mass index was smaller in patients with higher lact

190 egression models (adjusted for mid-childhood body mass index z scores, maternal education, smoking in

191 s suggests that although patient size (i.e., body mass index) is a predictor of in-hospital death amo

192 nd correlated to biometrics (e.g., weight or body mass index) or other biomarkers (e.g., plasma gluca

193 ing trait-based (blood pressure, lipids, and body mass index) subscores, and a genome-wide polygenic

194 ormed, controlling for covariates (age, sex, body mass index), examining interaction effects, and com

195 and after BS in 220 morbidly obese patients (body mass index, >=40 kg/m(2)).

196 .90 [95% CI, 0.82-0.99]; per 10% decrease in body mass index, 0.80 [95% CI, 0.69-0.94]).

197 th percentile] age, 71 [64-72] yr; 55% male; body mass index, 24 [21-29]; FEV(1)% predicted, 37 [29-4

198 ols; 7 male; mean age, 60 +/- 15 years; mean body mass index, 25 +/- 2) and 12 patients with a diagno

199 sia (7 male; mean age, 63 +/- 13 years; mean body mass index, 26 +/- 1), enrolled at a gastroenterolo

200 ants (mean [SD] age, 66.5 years [8.2 years]; body mass index, 32.7 [5.7]; and 74.2% women), 600 were

201 women randomized (mean age, 30.4 years, mean body mass index, 39.5), 1608 (99%) completed the study:

202 o associations between baseline variables of body mass index, age, sex, hypertension, hyperlipidaemia

203 9]; FEV(1)% predicted, 37 [29-45]; and BODE [body mass index, airflow obstruction, dyspnea, and exerc

204 age, service specialty, waist circumference, body mass index, alcohol consumption, tobacco smoking, a

205 = 0.018) after adjusting for age, sex, race, body mass index, and comorbidities.

206 ol patients by sex, age, intervention group, body mass index, and follow-up time.

207 s status with CD4 count, age, serum albumin, body mass index, and pre-existing hearing loss.

208 , American Society for Anesthesiology score, body mass index, and pT between SBTS and ES groups.

209 for ethnicity, working status, deprivation, body mass index, and sedentary time.

210 uded age, gender, ethnicity, blood pressure, body mass index, and spherical equivalent.

211 After we adjusted for age, sex, body mass index, and type-2 diabetes in the phase 2 vali

212 in part attributable to age, sex, cirrhosis, body mass index, and/or type of antiretroviral therapy.

213 d consume a high-quality diet, have a normal body mass index, be physically active, not smoke, and av

214 e scores were most strongly related to lower body mass index, between 8.4% and 36.7% of patients with

215 Matching criteria included age, sex, body mass index, comorbidities, and baseline ventilation

216 (OR, 1.14; P = 0.044), controlling for age, body mass index, diabetes, hypertension, intubation, and

217 ersisted after adjusting for age, sex, race, body mass index, estimated glomerular filtration rate, p

218 ar regression models incorporating age, sex, body mass index, existing atrial fibrillation, existing

219 73 m2 included white race, older age, higher body mass index, high-income region of enrollment, hyper

220 ace, hypertension, diabetes mellitus, higher body mass index, higher d-dimer, and greater severity of

221 sal status, family history of breast cancer, body mass index, hormone replacement therapy, and use of

222 Age, sex, body mass index, left ventricular ejection fraction, typ

223 ependently associated with lower age, higher body mass index, lower waist-hip ratio, vitamin D defici

224 al microvasculature, adjusting for age, sex, body mass index, mean blood pressure and comorbidity (i.

225 Women were older and had higher body mass index, more frequent hypertension and diabetes

226 Groups were compared by demographics, body mass index, ophthalmic examination, treatment, clin

227 ype of locoregional therapy, AFP, donor sex, body mass index, or nonalcoholic steatohepatitis etiolog

228 for resistin increasing insulin resistance, body mass index, or type 2 diabetes risk in African-ance

229 We adjusted for age, smoking, body mass index, physical activity, alcohol consumption,

230 categories of baseline age, race/ethnicity, body mass index, physical activity, physical functioning

231 ngs for carbon monoxide predicted, age, sex, body mass index, race, surgical approach, smoking status

232 modified Miller Score, patients with higher body mass index, renal or hepatic dysfunction, active sm

233 methylation predictors of smoking, alcohol, body mass index, serum proteins, and cell proportions.

234 d after adjusting for primary comorbidities: body mass index, sex, age, diabetes, and renal function.

235 ients were propensity score matched for age, body mass index, sex, American Society of Anesthesiologi

236 genetic model with adjustment for age, sex, body mass index, smoking status, and the first 5 princip

237 ocio-demographics and vascular risk factors (body mass index, smoking, diabetes mellitus and total ch

238 creasing effect in women for several traits (body mass index, subcutaneous adipose tissue, low-densit

239 When applied to body mass index, systolic blood pressure, diastolic bloo

240 is alongside age, gender, race/ethnicity and body mass index, the area under the curve was 0.830 and

241 h adjustment for sex, age, race, pre-surgery body mass index, the respective pre-surgery score, treat

242 Group A donors had higher body mass index, transaminases, fasting blood sugar, tri

243 ed significant after adjusting for age, sex, body mass index, type 2 diabetes, and country.

244 lic blood pressure, tobacco use, statin use, body mass index, urine microalbumin-to-creatinine ratio,

245 but showed no association with gender, race, body mass index, use of spectacles or contact lenses, hi

246 s calculated based on an algorithm including body mass index, waist circumference, serum gamma-glutam

247 evaluated for anthropometric measurements of body mass index, waist circumference, waist-to-hip ratio

248 Participants had measurements of body mass index, waist-hip ratio, and waist circumferenc

249 nts with cirrhosis (cases) and 317 age, sex, body mass index-, and type of surgery-matched obese pati

250 t RSPO3, which are associated with increased body mass index-adjusted waist-to-hip ratio, act to spec

251 o 2016; policy effects on consumer diets and body mass index-disease effects from published meta-anal

252 age z (LAZ) scores, and weight-for-length or body mass index-for-age z scores were generated accordin

253 4), OR = 1.01) and highlighted the impact of body mass index.

254 n those with elevated alcohol consumption or body mass index.

255 ents that was positively correlated with the body mass index.

256 with breast cancer by adjusting for age and body mass index.

257 tolic blood pressure, resting heart rate and body mass index.

258 ted for demographics, lifestyle factors, and body mass index.

259 ect between psoriasis and T2D not present in body mass index.

260 lack race, smoking, hypertension, and higher body mass index.

261 thmia, extracardiac arteriopathy, and a high body mass index.

262 ups were similar in respect to age, sex, and body mass index.

263 factors, including family history and higher body mass index.

264 f autoimmune disease, adjusting for race and body mass index.

265 Patients were matched based on age and body mass index.

266 exercise performed (peak workload), sex, and body mass index.

267 A 52-year-old woman (body mass index: 18.5 kg/m) with neuroendocrine liver me

268 thy lean individuals (age: 23 +/- 2.5 years; body mass index: 24.5 +/- 2.4 kg m(-2) ), following an o

269 ranea) trial population (mean age: 67 years; body mass index: 30 kg/m(2); 43% men; 48% with diabetes)

270 non-diseased controls (age: 50 +/- 2 years: body mass index: 31 +/- 1 kg m(-2) ) received primed con

271 Eight MHD patients (age: 56 +/- 5 years: body mass index: 32 +/- 2 kg m(-2) ) and non-diseased co

272 /ethnicity; education; diet; smoking status; body mass index; self-reported health; mobility limitati

273 g to maternal age (<30 years vs >=30 years), body-mass index (<35 kg/m(2)vs >=35 kg/m(2)), previous p

274 14), and longer for participants with a high body-mass index (BMI) than those with a low BMI (1.31, 1

275 nd point was the change from baseline in the body-mass index (BMI; the weight in kilograms divided by

276 g drugs with or without basal insulin, and a body-mass index of at least 23 kg/m(2).

277 l count was 683 cells per muL (447-935), and body-mass index was 28.9 kg/m(2) (24.0-32.9).

278 pants on the basis of tuberculosis symptoms, body-mass index, point-of-care haemoglobin concentration

279 H and seronegative controls matched for age, body-mass index, sex, and sexual practice.

280 unding factors (age, sex, race or ethnicity, body-mass index, underlying cardiovascular disease and i

281 randomized (mean age = 62.8 years; 57% male; body-mass-index = 27.9).

282 Lift use was associated with higher body mass, longer length of stay, lower Braden score, pr

283 nd contribute to disrupted homeostasis, lean body mass loss, and deteriorated performance in individu

284 , daily energy expenditure (DEE) scales with body mass (M) in the relationship log(DEE) = 2.35 + 0.68

285 An intravenous injection of 1.5 ml/kg of body mass of non-ionic contrast agent was performed.

286 that reached puberty as juveniles had higher body mass, on average, than immature juveniles, (iv) old

287 ther the onset nor the rate of senescence in body mass or reproductive output shows clear differences

288 ) and ROCK2(+/KD) mouse models showed a lean body mass phenotype during aging, associated with increa

289 Bladder/body mass ratios with PBO increased significantly and re

290 In turn, higher body mass reduces agility and increases predation and mo

291 Here, we examine age-related variation in body mass, reproductive output and survival in dominant

292 cant decrease in SUV(max) corrected for lean body mass (SUL(max)) on images obtained after MSG admini

293 SUV(max) normalized for lean body mass (SUL(max)) was measured at the primary tumor s

294 5 (analyzing the peak SUV normalized by lean body mass [SUL(peak)] of 1 or up to 5 lesions), imPERCIS

295 Infant body mass tended to be lower if mothers were young or ol

296 mechanistic connections between immunity and body mass under different diet compositions.

297 6) and fat mass (FM: -2.3+/-1.5), while lean body mass was preserved (LBM: 0.0+/-0.7).

298 Correcting for differences in body mass weakens but does not reverse the positive rela

299 horter generation times and lower asymptotic body mass were selected for in high-density environments

300 breeding episodes incurred a cost in reduced body mass which was more pronounced for North Rona, Oute