ライフサイエンスコーパス: body mass index

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

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

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

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

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

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

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

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

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

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

11 h distal pain in 29 participants with varied body mass index.

12 tients according to age, sex, ethnicity, and body mass index.

13 BP3 and diabetes mellitus as well as cFn and body mass index.

14 sponse manner and partially mediated through body mass index.

15 ions such as macro/microcephaly and high/low body mass index.

16 depression severity, anxiety, anhedonia, or body mass index.

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

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

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

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

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

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

23 .90 [95% CI, 0.82-0.99]; per 10% decrease in body mass index, 0.80 [95% CI, 0.69-0.94]).

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

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

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

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

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

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

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

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

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

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

34 even men and women (mean age: 32+/-10 years; Body Mass Index: 28.4+/-2.4 kg/m(2)) consumed an energy-

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

36 r than 40 years, female sex, current smoker, body mass index 30 or greater, and a hernia-related inpa

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

38 e enrolled: 73% male, age, 64.7+/-9.5 years; body mass index, 31.7+/-6.0 kg/m(2); left atrium size, 5

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

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

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

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

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

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

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

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

47 (59%), African American (68%), obese (median body mass index 41), and hypertensive (98%), with clinic

48 ery (81% female; median age 47 years; median body mass index 46 kg/m).

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

50 770; 80% female, median age 45 years, median body mass index 47 kg/m) self-reported smoking history p

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

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

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

54 9]; FEV(1)% predicted, 37 [29-45]; and BODE [body mass index, airflow obstruction, dyspnea, and exerc

55 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

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

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

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

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

60 In addition to body mass index and breast volume at the beginning of pr

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

62 10 years, we measured general fat including body mass index and fat mass index by dual-energy X-ray

63 Maternal body mass index and gestational weight gain predict futu

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

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

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

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

68 *2 might modify the association between high body mass index and NAFLD severity.

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

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

71 ations remained similar after adjustment for body mass index and tended to be stronger in children wh

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

73 = 0.018) after adjusting for age, sex, race, body mass index, and comorbidities.

74 7% female) for age, sex, level of education, body mass index, and diagnosis of hypertension.

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

76 independent effects for atrial fibrillation, body mass index, and hypertension.

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

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

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

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

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

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

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

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

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

86 age, gender, hypertension, type 2 diabetes, body mass index, baseline eGFR, and albuminuria.

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

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

89 We measured body mass index, blood pressure, and insulin, glucose, l

90 ischemic stroke, glycated hemoglobin A(1c), body mass index, blood pressure, or estimated glomerular

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

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

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

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

95 an adipocyte area positively correlated with body mass index (BMI) (Psubq = 8.13 x 10-69, betasubq =

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

123 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) =

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

125 Body Mass Index (BMI) was also linearly associated with

126 Body mass index (BMI) was independently associated with

127 isk factors for premature death, smoking and body mass index (BMI) were independently associated with

128 y of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality

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

130 Body mass index (BMI), admission biomarkers of inflammat

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

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

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

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

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

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

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

138 Age, body mass index (BMI), gender, and calendar time (time o

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

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

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

142 f frailty after adjustment for diet quality, body mass index (BMI), smoking status, and medication us

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

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

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

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

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

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

149 When we further adjusted for body mass index (BMI), those in the highest quintile of

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

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

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

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

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

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

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

157 d stratified by ambient UVB of residence and body mass index (BMI).

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

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

160 ancer risk were observed in adjusted models (body mass index (BMI): Odds ratio (OR) per 1 kg/m(2) = 0

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

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

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

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

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

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

167 : 1-9] years; mean HbA1c 7.4% +/- 1.7%; mean body mass index [BMI] 25.3 +/- 4.0 kg/m2) were followed

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

169 nents (i.e., smoking, physical activity, and body mass index [BMI] as behavioral CVH metrics; fasting

170 all survival in obese patients (those with a body-mass index [BMI] >=30 kg/m(2)) and in patients with

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

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

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

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

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

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

177 Results After adjustment for age, sex, body mass index, Charlson comorbidity index, history of

178 Adjusting for smoking, race, and body mass index, cocoa improved 6-minute walk distance a

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

180 079413 (SNORA54; NAP1L4) was associated with body mass index (corrected MR, P=1x10(-6)).

181 Donor age, body mass index, creatinine clearance, and ischemic time

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

183 rtality of LT recipients based on their age, body mass index, diabetes, model for end-stage liver dis

184 with no differences between cohorts in mean body mass index, diabetes, or PaO2:FiO2 at cannulation.

185 Body mass index differences largely accounted for HFpEF

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

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

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

189 Adjustment for body mass index eliminated the association with endometr

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

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

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

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

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

195 Adjusted Cox models demonstrated that body mass index greater than or equal to 30 kg/m was ass

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

197 ry of atrial fibrillation, redo surgery, and body mass index >30 kg/m(2).

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

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

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

201 62.3 +/- 9.5 years, 31% were women, 55% had body mass index >=30 kg/m(2), and 71% had pharmacologica

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

203 e, matched cohort study, adult patients with body mass index >=35 kg/m who underwent RYGB or SG proce

204 ght to investigate the impact of donors with body mass index >=40 (severe obesity) on heart transplan

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

206 73 m2 included white race, older age, higher body mass index, high-income region of enrollment, hyper

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

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

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

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

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

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

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

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

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

216 CI, 1.2-4.3) compared with individuals with body mass index less than 25 kg/m.

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

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

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

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

221 tients with suspected acute appendicitis and body mass index <30 kg/m were enrolled to undergo both s

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

223 mic origin and a group of 29 age-, sex-, and body mass index-matched healthy subjects.

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

227 allele score 7 to 10 had a mean increase in body mass index of 0.87 kg/m(2), and the age and sex-adj

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

229 9.9 years, whereas a 70-year-old man with a body mass index of 30 kg/m(2), use of hypertension treat

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

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

232 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

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

234 anges in cardiorespiratory fitness (CRF) and body mass index on risk for HF is not well established.

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

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

237 r size, and primary metastases, but not with body mass index or local surgical remission.

238 k factors for poor renal function were donor body mass index (OR = 1.2; P < 0.001) and ISC versus NRP

239 5, 95% confidence interval [CI]: 1.05-1.06), body mass index (OR: 0.98, 95% CI: 0.96-1.00), and ocula

240 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)

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

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

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

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

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

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

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

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

249 able analysis adjusted for age, sex, height, body mass index, persistent AF, hypertension, coronary d

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

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

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

253 e intervention and control groups (age, sex, body-mass-index, preoperative comorbidities, hepatic fun

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

255 potentially confounding effects of age, sex, body mass index, recent infection, and tobacco use.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

287 Mean initial body mass index was 50.9 kg/m [95% confidence interval (

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

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

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

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

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

293 Body mass index was not associated with admission levels

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

295 A higher body mass index was the only factor increasing the morta

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

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

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

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

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