ライフサイエンスコーパス: body mass index

1 destination therapy, and increased baseline body mass index.

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

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

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

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

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

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

8 onocytes stratified by prepregnancy maternal body mass index.

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

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

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

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

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

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

15 -4.95 to -0.75]; 19 trials [n = 9325]), and body mass index (-0.41 [95% CI, -0.62 to -0.19]; 20 tria

16 </=2, WHO/ECOG score </=1, age </=65 years, body mass index 19-29 kg/m).

17 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

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

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

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

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

22 5 NAFL, and 37 NASH; mean age 51.8 years and body mass index 31.9 kg/m(2) ), 66% were women.

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

24 ] 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)]

25 median age, 58.2 years [range 20-76]; median body mass index, 31.4 kg/m(2) [range, 18.2-60.1]; HbA1c

26 ollows: tobacco 92.9%; blood pressure 51.2%; body mass index 33.8%; low-density lipoprotein 31.4%; an

27 1,696 exams were attempted in 992 patients (body mass index, 33.6 +/- 6.5 kg/m(2) ) with histologica

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

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

30 r more signs was older in age and had higher body mass index, a higher rate of tobacco smoking, and l

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

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

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

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

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

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

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

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

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

40 Body mass index and HDL cholesterol were negatively corr

41 To investigate the association between body mass index and mortality in a large, ICU population

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

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

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

45 lood levels of leptin and adiposity indexes (body mass index and waist circumference) were assessed.

46 pha signaling was positively correlated with body-mass index and hepatic toxicity.

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

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

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

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

51 ction, intraocular pressure, blood pressure, body mass index, and cholesterol, creatinine, glucose, i

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

53 io-economic status, other lifestyle factors, body mass index, and family history of diabetes.

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

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

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

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

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

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

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

61 order and general psychopathologic findings, body mass index, and quality of life.

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

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

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

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

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

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

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

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

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

71 Higher WGRS19 associated with higher body mass index at 9 years and WGRS97 at 6 years.

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

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

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

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

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

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

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

79 to delineate the temporal relations between body mass index (BMI) and insulin in childhood and their

80 We assessed the independent association of body mass index (BMI) and length at birth and changes in

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

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

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

84 we assessed the association between baseline body mass index (BMI) and the rate of clinical progressi

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

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

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

88 crime and safety with changes in adiposity (body mass index (BMI) and waist circumference).

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

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

91 at menarche and risk of breast cancer, with body mass index (BMI) as a potential mediator.

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

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

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

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

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

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

98 throughout the week, across age, gender, and body mass index (BMI) groups, with the greatest increase

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

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

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

102 Observational studies have shown that body mass index (BMI) is positively associated with asth

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

104 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

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

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

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

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

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

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

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

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

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

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

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

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

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

118 ancestry (PEA), socio economic status (SES), body mass index (BMI), alcohol consumption and smoking s

119 ip between age, gender, body weight, height, body mass index (BMI), and elasticity values of the panc

120 causal inverse associations, independent of body mass index (BMI), between puberty timing and risks

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

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

123 re and biomarkers of EVA, adjusting for age, body mass index (BMI), cooking fuel type, energy intake,

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

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

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

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

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

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

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

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

132 K single nucleotide polymorphisms (SNPs) and body mass index (BMI).

133 roughout the weight spectrum, independent of body mass index (BMI).

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

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

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

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

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

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

140 .0 +/- 0.03 g/cm(2) for groups with baseline body mass index (BMI; in kg/m(2)) >/=30 and <30, respect

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

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

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

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

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

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

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

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

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

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

151 adult, nondiabetic individuals [mean +/- SD body mass index (BMI; in kg/m(2)): 43.7 +/- 5.2; 78% wit

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

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

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

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

156 We investigated whether height, body mass index (BMI; weight (kg)/height (m)2), and body

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

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

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

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

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

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

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

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

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

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

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

168 9) and women (n = 710), mean age 44.7 years, body mass index [BMI] 32.4 kg/m(2), were randomized betw

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

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

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

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

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

174 <30y of age (79%), never-smokers (56%) with body mass indexes (BMIs) of <29.9( )kg/m(2) (70%).

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

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

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

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

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

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

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

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

183 onfidence interval, 0.75-0.89) included age, body mass index, change in body mass index, smoking, use

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

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

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

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

188 Setting strict body mass index cutoffs for transplant candidacy remains

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

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

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

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

193 tors, which were univariate predictors (age, body mass index, diabetes, LV end-diastolic volume index

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

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

196 Body mass index explained the largest proportion of AF r

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

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

199 = 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).

200 No group differences were found for body mass index, general psychopathologic findings, and

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

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

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

204 Obese outpatients (body mass index >/=30 kg/m2) who lost 4 kg or more of bo

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

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

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

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

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

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

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

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

213 itals, boys, and firstborns, higher maternal body mass index, higher maternal age, preeclampsia, high

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

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

216 Elevated body mass index in midlife was associated with elevated

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

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

219 Forty-six men (aged 30-50 y) with body mass index (in kg/m(2)) >29 and waist circumference

220 32 postmenopausal women [age range: 40-65 y, body mass index (in kg/m(2)) <35] were assigned to consu

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

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

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

224 - SEM age of 61 +/- 4 y (range: 42-84 y) and body mass index (in kg/m(2)) of 28 +/- 2 (range: 18.3-36

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

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

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

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

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

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

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

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

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

234 Body mass index is an imperfect measure of surgical risk

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

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

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

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

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

240 LDL, low blood pressure, low glucose, normal body-mass index, no smoking, and plenty of physical acti

241 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))

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

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

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

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

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

247 (P = .017) and the interaction of asthma and body mass index (P = .008).

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

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

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

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

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

253 f VTE was independently associated with age, body mass index, polyvascular disease, chronic obstructi

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

255 emographics, parity, insurance, prepregnancy body mass index, pregnancy complications, and smoking or

256 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

257 Risk factors for tuberculosis were body-mass index, previous tuberculosis, age, sustained e

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

259 ere significantly negatively correlated with body mass index (r = -0.33, P = .014), whereas multivari

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

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

262 subjects (18 women; age range, 25-76 years; body mass index range, 19.3-43.9 kg/m(2)) were estimated

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

264 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

265 ents (mean age +/- SD, 50.9 +/- 11.7 y; mean body mass index +/- SD, 22.8 +/- 3.2 kg/m(2)) who receiv

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

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

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

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

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

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

272 89) included age, body mass index, change in body mass index, smoking, use of proton pump inhibitors,

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

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

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

276 ssue, are also observed in women with normal body mass index, suggesting a metabolic obesity state.

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

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

279 the relationships between prior depression, Body Mass Index, the presence of prior combat duty and s

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

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

282 concentration, age, ethnic or racial origin, body-mass index, vitamin D dosing regimen, use of inhale

283 Enterolactone was inversely associated with body mass index, waist circumference, and percent body f

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

285 We prospectively examined the effect of body mass index, waist circumference, waist-hip ratio, a

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

287 (n = 6); median age was 56 years and median body mass index was 26.8.

288 The average body mass index was 29.2 kg/m.

289 Greater body mass index was associated with worse LV longitudina

290 High Body Mass Index was found to be a further, modifiable ri

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

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

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

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

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

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

297 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

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

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

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