ライフサイエンスコーパス: waist

1 lculated using validated formulas (including waist and hip circumferences, weight, and age) and divid

2 rts, this may be for different reasons: BMI, waist and hip measurements, systolic and diastolic blood

3 Stent, is short-length with an antimigration waist and is easily removable due to long retrieval wire

4 DNAme sites associated with fasting insulin, waist, and body mass index, as well as thousands of DNAm

5 p < 0.001, BMI-based; OR = 2.37, p = 0.001, waist-based), prediabetes (OR = 1.55, p = 0.02), diabete

6 s index (BMI), the waist-hip-ratio (WHR) and waist-by-height(0.5) ratio (WHT.5R).

7 ATS receiving gender-affirming treatment had waist circumference >102 cm (compared with <=25% in othe

8 ts with type 2 diabetes aged >18 years, with waist circumference >94 (males) or >80 (females) cm, ser

9 y) with body mass index (in kg/m(2)) >29 and waist circumference >98 cm were randomly assigned to a v

10 presence of >=3 of the following components: waist circumference >=102 cm for males or >=88 cm for fe

11 calorie-restricted diet for 6 wk to obtain a waist circumference <102 cm followed by a weight-mainten

12 e (controlling for chronologic age) included waist circumference (>88 vs <=88 cm) (odds ratio [OR], 1

13 ing at least 2000 m away had 0.26 cm smaller waist circumference (-0.52 to 0.01).

14 0.28; 95% CI: -0.42, -0.14; P = 0.0001), and waist circumference (-0.63 cm; 95% CI: -1.11, -0.16 cm;

15 (-7.6 +/- 0.3 compared with 0.4 +/- 0.5 kg), waist circumference (-6.2 +/- 0.4 compared with 0.9 +/-

16 for weight (0.13 lb; 95% CI, 0.11 to 0.15), waist circumference (0.009 inches; 95% CI, 0.004 to 0.01

17 body-mass index (1.09 [1.01-1.17]; p=0.023), waist circumference (1.13 [1.02-1.26]; p=0.018), basal m

18 ger increases were seen in women for BMI and waist circumference (7-8%), but trends in skinfolds were

19 facilities close to home had 1.22 cm smaller waist circumference (95% CI -1.64 to -0.80), 0.57 kg/m(2

20 index (beta = 0.017, 95%CI: -0.026; -0.009), waist circumference (beta = -0.043, 95%CI: -0.061; -0.02

21 49; 95% CI 1.30-4.77), a steeper increase of waist circumference (beta=2.41; 95% CI 1.19-3.63) and in

22 her) was consistently associated with higher waist circumference (Delta: 1.6-3.4 cm).

23 = 1.35, 95%CI: 1.13-1.61; Ptrend < 0.0001), waist circumference (HR = 1.66, 95%CI: 1.39-1.99; Ptrend

24 iated with body weight, body mass index, and waist circumference (P < 0.05).

25 serum triglycerides (P = 5.36 x 10(-9)) and waist circumference (P = 5.21 x 10(-9)).

26 3.3% vs. 17.1 in controls, p = 0.02), higher waist circumference (prevalence risk ratio 83.3/20.3, 4.

27 nomic disadvantage with fatty liver included waist circumference (proportion mediated of the total ef

28 belt, intragastric pressure correlated with waist circumference (r = 0.682; P = .008), with the rang

29 463 in CTRB1) and with birthweight and adult waist circumference (rs12704673 in CALCR).

30 de association studies of BMI (n = 681,275), waist circumference (WC) (n = 224,459) and waist-hip rat

31 c regression indicates each unit increase in waist circumference (WC) (OR 0.98, 95% CI 0.96-0.99) and

32 x (BMI) (SD) was 23.7 (3.3) kg/m(2) and mean waist circumference (WC) 80.3 (9.8) cm, with 33% having

33 e to the Chinese great famine with adulthood waist circumference (WC) and BMI.

34 optimum levels of body mass index (BMI) and waist circumference (WC) are inconsistent.

35 ith obesity, using body mass index (BMI) and waist circumference (WC) as obesity indices in northeast

36 ation of a BMI of 18.5-23.9 kg/m(2) and 1) a waist circumference (WC) of >85 cm in males or >80 cm in

37 ine the association of birth weight (BW) and waist circumference (WC) on cardiovascular disease (CVD)

38 hanges in fat mass (FM), lean mass (LM), and waist circumference (WC) to the risk of HF and myocardia

39 GPRS-obesity) with body mass index (BMI) and waist circumference (WC) was modified by sleep character

40 Children's body mass index (BMI) and waist circumference (WC) were measured at 5- and 9-y fol

41 Height, weight, and waist circumference (WC) were self-measured and reported

42 e found that changes in body weight (BW) and waist circumference (WC) were significantly different ac

43 indices including body mass index (BMI) and waist circumference (WC) were used to determine general

44 Systolic blood pressure, waist circumference (WC), and fasting blood sample (tota

45 Anthropometric indexes included BMI, waist circumference (WC), and waist-to-height ratio (WHt

46 esity-related traits [body mass index (BMI), waist circumference (WC), high-density lipoprotein (HDL)

47 However, except waist-to-hip ratio (WHR) and waist circumference (WC), it remains unknown whether the

48 Among boys, maternal waist circumference (WC), paternal WC and TV viewing med

49 istical analyses were body mass index (BMI), waist circumference (WC), serum adipokines, cytokines, a

50 After 6 mo, body weight, waist circumference (WC), systolic and diastolic blood p

51 For waist circumference (WC), the summary estimates for the

52 rtension, and between body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR),

53 y outcomes were changes in body weight, BMI, waist circumference (WC), waist-to-height ratio (WtHR),

54 hanges in body mass index (BMI), weight, and waist circumference (WC).

55 fat mass index (FMI), body fat % (BF%), and waist circumference (WC).

56 tems), diet quality, and self-measured their waist circumference (WC).

57 s index (kg/m2) >=25] and central adiposity [waist circumference (WC): >88 cm for women, >102 cm for

58 = 0.93; 95% confidence interval = 0.89-0.96; waist circumference (WC): OR per 10 cm = 0.81 (0.69-0.96

59 nsus Statement proposes that measurements of waist circumference afford practitioners with an importa

60 t baseline and is predictive of increases in waist circumference after 1 y.

61 fast-food outlet was weakly associated with waist circumference and BMI, mostly among women.

62 as graded moderate for body weight, high for waist circumference and body fat, and low for BMI.

63 had statistically significant higher BMI and waist circumference and consumed more energy, and also h

64 Waist circumference and fasting metabolic laboratory par

65 l within the range associated with differing waist circumference and likely to be relevant to the ass

66 ilarly, fasters had a significantly low mean waist circumference and low mean body fat percent (P < 0

67 me was independently associated with smaller waist circumference and lower BMI and body fat percentag

68 Inverse associations were observed between waist circumference and LTL (-0.96% per z-score unit; 95

69 -IR), alkaline phosphatase, body mass index, waist circumference and pulse pressure.

70 e 16/17 y, through inverse associations with waist circumference and the HOMA-IR.

71 itional status as risk factors for increased waist circumference and type 2 diabetes among Ghanaian a

72 and metabolic traits (e.g. body mass index, waist circumference and type 2 diabetes).

73 ngth, leg length-to-height ratio (LHR)] with waist circumference and type 2 diabetes, respectively.

74 We recommend that decreases in waist circumference are a critically important treatment

75 in infancy was associated with higher FM and waist circumference at 5 years.

76 NAcc is related to individual differences in waist circumference at baseline and is predictive of inc

77 nge in pressure between smallest and largest waist circumference being 15 mmHg.

78 kinfolds (triceps and subscapular), BMI, and waist circumference between US adults.

79 dence that clinically relevant reductions in waist circumference can be achieved by routine, moderate

80 ith suppressed HIV-1 RNA examined weight and waist circumference change before and after first switch

81 Treatment Panel III, with a modification of waist circumference for Asians.

82 cg08309687 in chromosome 21 associated with waist circumference for the first time (P = 2.24 x 10(-7

83 Accordingly, aFMT attenuated waist circumference gain (aFMT, 1.89 cm vs placebo, 5.05

84 paring the fourth with the first quartile of waist circumference gave an RR of 1.95 (95% CI = 1.46-2.

85 Higher waist circumference in adulthood is an especially strong

86 and subsequent 5-y change in body weight and waist circumference in humans.

87 20)), type 2 diabetes (P=2.8 x 10(-13)), hip/waist circumference in men (P=1.1 x 10(-9)), schizophren

88 eption and body weight, body mass index, and waist circumference in older subjects with MetS and iden

89 ing for age, smoking, and body mass index or waist circumference in regression models.

90 professional societies to routinely include waist circumference in the evaluation and management of

91 ased adiposity (1.26 kg/m(2) BMI and 3.58 cm waist circumference increase, p < 0.0001), circulating i

92 Six nationally representative waist circumference index (WCI, weight/height0.5) predic

93 tio were calculated from weight, height, and waist circumference measurements whereas fat mass was as

94 iglyceride level <1.3 mmol/L [<115.1 mg/dL], waist circumference of 85 cm [men] or 80 cm [women], and

95 d to examine the modifying effect of BMI and waist circumference on these associations among adults w

96 baseline levels and trajectories of BMI and waist circumference over time using linear mixed modelin

97 Despite decades of unequivocal evidence that waist circumference provides both independent and additi

98 Concomitant increases in waist circumference suggest that this weight gain is ass

99 ly less weight gain and smaller increases in waist circumference than olanzapine and was well tolerat

100 n the knowledge, including the refinement of waist circumference threshold values for a given BMI cat

101 We used body mass index and waist circumference to define general obesity and abdomi

102 ed: 1) periodontitis; 2) body mass index; 3) waist circumference to height (WHTR) ratio for central a

103 (2) = 26%, n = 3), and per 10 cm increase in waist circumference was 1.13 (95% CI 1.02-1.25, I(2) = 4

104 The mean waist circumference was 85.9 cm with mean waist-to-heigh

105 rse association between MVPA and 6-y gain in waist circumference was also limited to the older group

106 Similarly, the mean +/- sd waist circumference was higher among non-fasters (84.96

107 that the genetic correlation between MDD and waist circumference was only significant in individuals

108 Waist circumference was strongly related to mortality an

109 BMI in middle age, BMI at age 18 years, and waist circumference were associated with increased rheum

110 ters < 296 dB/m, BMI < 25 kg/m(2) and normal waist circumference were included in the interventional

111 Height, weight, and waist circumference were measured at baseline and every

112 Sixty-two people with increased waist circumference were randomly assigned to receive an

113 Other behavioral variables and parental waist circumference were self-reported.

114 Trends for waist circumference were similar.

115 Increases in waist circumference were smaller in the olanzapine/samid

116 essure, total cholesterol, triglycerides and waist circumference with risk of meningioma were non-sig

117 e RFM equation for adults (64 - (20 x height/waist circumference) + (12 x sex)) may be used for adole

118 the RFMp (RFM pediatric): 74 - (22 x height/waist circumference) + (5 x sex).

119 n and adiposity indexes (body mass index and waist circumference) were assessed.

120 essure), metabolic (HOMA(ir), triglycerides, waist circumference), and immune (white blood cell count

121 nges in adiposity (body mass index (BMI) and waist circumference).

122 5 trials on percentage body fat, 4 trials on waist circumference, 4 trials on fasting plasma glucose,

123 o <30 in 38% and >=30 in 30%, 33% had a high waist circumference, 89% were physically inactive, 37% (

124 ood pressure, 2.1% (95% CI: 0.5, 3.8) higher waist circumference, and 1.6% (95% CI: - 0.6, 3.8) highe

125 ffects of viscous fiber on body weight, BMI, waist circumference, and body fat, independent of calori

126 BMI, waist-to-hip ratio, waist circumference, and cause-specific mortality.

127 infancy were associated with higher FM, FFM, waist circumference, and height at 5 years.

128 for age, sex, smoking, LDL-cholesterol, BMI, waist circumference, and HOMA-insulin resistance (HOMA-I

129 a significant reduction in body mass index, waist circumference, and improvement in blood pressure t

130 nts of body mass index, waist-hip ratio, and waist circumference, and information on 5 genetic varian

131 , lower BMI, lower C-reactive protein, lower waist circumference, and lower odds of hypertension and

132 Metabolic parameters, particularly increased waist circumference, and not HIV-specific factors, were

133 s inversely associated with body mass index, waist circumference, and percent body fat, while 2,5-dic

134 8 (6-11) years were assessed: BMI, fat mass, waist circumference, and skinfold thickness.

135 were fairly similar trends in levels of BMI, waist circumference, and skinfold thicknesses in men in

136 final model explaining FLI best through BMI, waist circumference, and the Lac:Man ratio.

137 en body size (body mass index [BMI], height, waist circumference, and waist-to-hip ratio) and body fa

138 SD) age = 16.8 (0.2) years), height, weight, waist circumference, blood lipids, glucose, insulin, and

139 tering patients and was associated with BMI, waist circumference, blood pressure, heart rate, HbA1c,

140 fter adjustments for age, service specialty, waist circumference, body mass index, alcohol consumptio

141 Waist circumference, body mass index, fasting plasma glu

142 ays of treatment, dogs have markedly reduced waist circumference, body weight, and fat mass.

143 ty to fast-food outlets were associated with waist circumference, body-mass index (BMI), and body fat

144 at mass, fat percentage, fat mass index, and waist circumference, but not for fat-free mass.

145 and their accretion in infancy with height, waist circumference, FM, FFM, and cardiometabolic risk m

146 ary outcomes were gastrointestinal symptoms, waist circumference, glycemic status, and changes in the

147 fat = 14.1 +/- 2.7%-TEI) intakes as regards waist circumference, HDL-C, blood pressure, glucose, ins

148 lycerides, fasting glucose, body mass index, waist circumference, heart rate (HR) and diabetes, but w

149 mposite of seven biomarkers [blood pressure, waist circumference, hemoglobin A1c (HbA1c), insulin res

150 er adjusting for body mass index in kg/m(2), waist circumference, hypertension, dyslipidemia, diabete

151 than 2 of the following 4 criteria (elevated waist circumference, hypertension, elevated plasma gluco

152 s associated with adolescent age, and higher waist circumference, levels of alanine or aspartate amin

153 in secondary outcomes were change in weight, waist circumference, lipids, serum glucose, and hemoglob

154 weight loss maintenance and changes in BMI, waist circumference, number of steps per day, health-rel

155 adjustment for skin type, fracture history, waist circumference, outdoor free play, neighborhood inc

156 d on an algorithm including body mass index, waist circumference, serum gamma-glutamyltransferase and

157 study measured child body mass index (BMI), waist circumference, skinfold thickness, and body fat ma

158 ements (taken from birth through childhood), waist circumference, skinfold thickness, blood pressure,

159 combines measures of body mass index (BMI), waist circumference, triglyceride, and gamma-glutamyl tr

160 and natural log-transformed blood pressure, waist circumference, triglycerides, fasting glucose, and

161 was computed from the following components: waist circumference, triglycerides, HDL-c, glucose, and

162 dex, physical activity, body fat percentage, waist circumference, triglycerides, total cholesterol, a

163 Body mass index, waist circumference, visceral abdominal fat, fat mass in

164 work stress was associated with higher BMI, waist circumference, waist-hip ratio, alanine transamina

165 vely examined the effect of body mass index, waist circumference, waist-hip ratio, and 10-year weight

166 take have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood d

167 ith risk of T2DM, increased body mass index, waist circumference, waist-hip ratio, diastolic blood pr

168 hropometric measurements of body mass index, waist circumference, waist-to-hip ratio, and fat percent

169 found that central adiposity, as measured by waist circumference, was associated with worse global lo

170 lly attenuated after adjustments for BMI and waist circumference, which demonstrates a crucial role f

171 unidentified imprinted locus associated with waist circumference.

172 nonsignificant after adjustment for BMI and waist circumference.

173 g length and LHR were associated with higher waist circumference.

174 sociated with both body mass index (BMI) and waist circumference.

175 bly associated with change in body weight or waist circumference.

176 ified the effect of SMAD2 rs11082639 on high waist circumference.

177 PUFAs was not associated with 5-y change in waist circumference.

178 UFAs was not associated with a 5-y change in waist circumference.

179 ) body mass index (BMI), ponderal index, and waist circumference.

180 Obesity was determined by waist circumference.

181 Twenty-five healthy, normal-weight men (waist circumference: <94 cm) and 54 abdominally obese me

182 rence: <94 cm) and 54 abdominally obese men (waist circumference: 102-110 cm) participated.

183 edicted by an interaction between height and waist circumference: the presumed benefits of being tall

184 nd percentage of body fat from bioimpedance; waist circumference; overweight and obesity; height; BP;

185 sease history, and body mass index (BMI) and waist circumference; results were pooled based on a rand

186 , and inflammatory systems (body mass index; waist circumference; total, high and low density lipopro

187 )), body weight, percentage of body fat, and waist circumference] and glucose and insulin metabolism

188 e: the presumed benefits of being taller are waist-dependent, and affect taller people more than shor

189 m-up and top-down forcing, analogous to wasp-waist dynamics, but occurring across multiple trophic le

190 eeds in three stages: a local constriction ("waist formation"), pulsation-which increases waist longi

191 Adult patients with scaphoid waist fractures displaced by 2 mm or less should have in

192 s that fail to unite in adults with scaphoid waist fractures displaced by 2 mm or less.

193 .4% in PBF, and 2.0, 1.9, 0.6, and 1.0 cm in waist, hip, arm, and thigh circumference, respectively (

194 .4% in PBF, and 2.0, 1.9, 0.6, and 1.0 cm in waist, hip, arm, and thigh circumference, respectively (

195 index (BMI), percentage body fat (PBF), and waist, hip, arm, and thigh circumferences were measured

196 index (BMI), percentage body fat (PBF), and waist, hip, arm, and thigh circumferences, were measured

197 , waist circumference (WC) (n = 224,459) and waist-hip ratio (WHR) (n = 224,459) to obtain unconfound

198 ned for adipose tissue eQTL colocalizations, waist-hip ratio (WHR) and circulating lipid traits had t

199 (CAD), rheumatoid arthritis, schizophrenia, waist-hip ratio (WHR), body-mass index (BMI), and height

200 gnals that colocalized with GWAS signals for waist-hip ratio adjusted for body mass index (WHRadjBMI)

201 used as an indicator of overall obesity, and waist-hip ratio for central obesity.

202 ciated with higher BMI, waist circumference, waist-hip ratio, alanine transaminase, white blood cell

203 ect of body mass index, waist circumference, waist-hip ratio, and 10-year weight change on the risk o

204 netic correlations with waist circumference, waist-hip ratio, and neighborhood deprivation (|r(g)| ~

205 cipants had measurements of body mass index, waist-hip ratio, and waist circumference, and informatio

206 king status, triglycerides, type 2 diabetes, waist-hip ratio, attention deficit hyperactivity disorde

207 physiological traits: height, waist, weight, waist-hip ratio, body mass index, fasting serum insulin,

208 king status, triglycerides, type 2 diabetes, waist-hip ratio, childhood cognitive ability, neuroticis

209 reased body mass index, waist circumference, waist-hip ratio, diastolic blood pressure, type 1 diabet

210 yses, lower BMI and oxidized LDL, and higher waist-hip ratio, hsCRP and zonulin correlated with thick

211 yses, lower BMI and oxidized LDL, and higher waist-hip ratio, hsCRP, and zonulin correlated with thic

212 PHIV had higher waist-hip ratio, triglycerides, and insulin resistance (

213 PHIVs had higher waist-hip ratio, triglycerides, and insulin resistance (

214 ith lower age, higher body mass index, lower waist-hip ratio, vitamin D deficiency (serum 25-hydroxyv

215 A similar pattern of association emerged for waist-hip ratio.

216 ices, such as the body mass index (BMI), the waist-hip-ratio (WHR) and waist-by-height(0.5) ratio (WH

217 DNA associations with body mass index (BMI), waist-hip-ratio (WHR), glucose, insulin, HOMA-B, HOMA-IR

218 ociations of anthropometric (weight, height, waist/hip circumferences, 4-site skinfold thicknesses) a

219 orrelated with age, known diabetes duration, waist/hip ratio, urinary albumin/creatinine ratio (ACR)

220 ed to provide a short pulling impulse at the waist in the anterior direction to ten dancers and ten n

221 g in one model BMI and a strongly correlated waist index altered the association patterns with mortal

222 In conclusion, only a waist index independent of BMI by design, such as ABSI,

223 and a stronger positive association for the waist index, while combining BMI with the uncorrelated A

224 Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate hig

225 We compared the ability of alternative waist indices to complement body mass index (BMI) when a

226 Narrow-waisted insects create sustained pressure differences ac

227 nt role in human mate-choice, and height and waist interact to signal health, its evolutionary conseq

228 design the incident beam such that the beam waist is aligned precisely and that stability is assured

229 waist formation"), pulsation-which increases waist longitudinal stresses-and transverse rupture.

230 fracture was noted fluoroscopically when the waist of the balloon released and by a sudden drop in in

231 In particular, we find there exists a beam waist offset whereby the resulting vorticity suppresses

232 a clear bicortical fracture of the scaphoid waist on radiographs.

233 but remained significant after adjusting for waist, physical activity, alcohol consumption, and smoki

234 ences across segments, but their constricted waist provides an evident mechanism for compartmentaliza

235 e age-matched controls with multidirectional waist-pull perturbations while walking on a treadmill.

236 The core neurons at the hourglass waist represent the information bottleneck of the system

237 cardiovascular disease), PA was measured by waist-secured accelerometers.

238 l-being), device-measured physical activity, waist size, and blood pressure at 3 months.

239 for age, service specialty, body mass index, waist size, mean blood pressure, unhealthy behaviors, li

240 ement anthropometric indices when estimating waist skinfold thickness measures.

241 ractice explained up to 52.2% of variance in waist skinfold thickness, while a combined regression mo

242 oximated by an infinite Gaussian beam with a waist that is small compared to the size of the region o

243 ward flow traverses a small core ("hourglass waist") that consists of 10-15 interneurons.

244 ales or >80 cm in females (NWCO by WC); 2) a waist to height ratio (WHtR) of >=0.5 (NWCO by WHtR); 3)

245 t ratio (WHtR) of >=0.5 (NWCO by WHtR); 3) a waist to hip ratio (WHR) of >=0.9 in males or >=0.85 in

246 including the calculation of the laser beam waist to simplify the comparison and reproducibility of

247 (Odds Ratio [OR] = 1.62 [95%CI 1.32-1.99]), waist-to-height ratio (OR = 1.74 [1.39-2.17]) and total

248 the results for waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) but were similar to BMI and

249 fraction >= 50%]), among whom 2,051 also had waist-to-height ratio (WHtR) measurements (mean age 60.8

250 an waist circumference was 85.9 cm with mean waist-to-height ratio (WHtR) of 0.53.

251 mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), systolic blood pressure (S

252 included BMI, waist circumference (WC), and waist-to-height ratio (WHtR).

253 body weight, BMI, waist circumference (WC), waist-to-height ratio (WtHR), blood pressure and plasma

254 After adjustment for history, adding BMI, waist-to-height ratio and total skinfolds (anthropometry

255 Body-mass index (BMI) and waist-to-height ratio were calculated from weight, heigh

256 ycated haemoglobin, non-HDL cholesterol, and waist-to-height ratio).

257 arsenic concentration in relation to BMI and waist-to-height ratio.

258 rvey, we regressed body mass index (BMI) and waist-to-height ratios on urinary arsenic concentrations

259 o 0.15), bodyweight (1.03 kg, 0.24 to 1.82), waist-to-hip ratio (0.006, 0.003 to 0.010), and an odds

260 = 1.66, 95%CI: 1.39-1.99; Ptrend < 0.0001), waist-to-hip ratio (HR = 1.58, 95%CI: 1.31-1.91; Ptrend

261 For women, only waist-to-hip ratio (HR for highest versus lowest fifth =

262 [CI] 1.44-1.70), with comparable results for waist-to-hip ratio (ORSD: 1.63, 95% CI 1.40-1.90) and bo

263 he association of a polygenic risk score for waist-to-hip ratio (WHR) adjusted for body mass index (B

264 alysis of body fat distribution, measured by waist-to-hip ratio (WHR) adjusted for body mass index (W

265 However, except waist-to-hip ratio (WHR) and waist circumference (WC), i

266 ta were insufficient to pool the results for waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR

267 triglycerides (TG), fasting insulin (FI) and waist-to-hip ratio (WHR) in 4,721 individuals from the N

268 sociation studies for body mass index (BMI), waist-to-hip ratio (WHR), and multiple cerebrovascular d

269 of UNa, body mass index (BMI), BMI-adjusted waist-to-hip ratio (WHR), body fat (BF) percentage and e

270 Waist-to-hip ratio (WHR), body mass index (BMI), systoli

271 After adjusting for age, waist-to-hip ratio (WHR), glycated hemoglobin, smoking,

272 ariate Cox regression analyses detected age, waist-to-hip ratio (WHR), glycosylated haemoglobin (HbA1

273 models predicting body mass index (BMI) and waist-to-hip ratio (WHR), including interaction terms fo

274 ex 33.8%; low-density lipoprotein 31.4%; and waist-to-hip ratio 29.7%.

275 S) using variants previously associated with waist-to-hip ratio adjusted for BMI (WHRadjBMI) and exam

276 A genetic predisposition to higher waist-to-hip ratio adjusted for BMI (WHRadjBMI), a measu

277 cumference adjusted for body mass index" to "waist-to-hip ratio adjusted for body mass index (under 5

278 st causal associations of central adiposity (waist-to-hip ratio adjusted for body mass index [WHRadjB

279 iation of body-fat distribution, assessed by waist-to-hip ratio adjusted for body mass index, with 22

280 ndelian randomization (MR) and data from 394 waist-to-hip ratio and 773 BMI-associated loci.

281 BP, chi-squared values for associations for waist-to-hip ratio and BMI fell by 56%.

282 chi-squared values for genetically-predicted waist-to-hip ratio and BMI models, respectively.

283 pants were used to estimate the relevance of waist-to-hip ratio and body mass index (BMI) to CKD prev

284 Each 0.06 higher measured waist-to-hip ratio and each 5-kg/m(2) increase in BMI we

285 in resistance-related phenotype (e.g. higher waist-to-hip ratio and fasting insulin levels, but lower

286 yses, each 0.06-genetically-predicted higher waist-to-hip ratio was associated with a 29% (1.29; 1.20

287 In PWH, increase in waist-to-hip ratio was associated with higher kynurenine

288 Central obesity assessed by waist-to-hip ratio was more strongly associated with dia

289 The associations of mortality with BMI and waist-to-hip ratio were similarly strong, and each was w

290 ve associations of percent body fat, WC, and waist-to-hip ratio with NAFLD, with HRs per 1-SD of 2.27

291 ndex [BMI], height, waist circumference, and waist-to-hip ratio) and body fat composition (total body

292 ated with increased body mass index-adjusted waist-to-hip ratio, act to specifically increase RSPO3 e

293 sting glucose concentration, bodyweight, and waist-to-hip ratio, and an increased risk of type 2 diab

294 nts of body mass index, waist circumference, waist-to-hip ratio, and fat percentage through bioimpeda

295 ome-wide association studies (GWAS) for BMI, waist-to-hip ratio, and other adiposity traits have iden

296 nd that of abdominal obesity, as measured by waist-to-hip ratio, have distinct biological backgrounds

297 for age, education, hypertension, diabetes, waist-to-hip ratio, physical inactivity, current smoking

298 BMI, waist-to-hip ratio, waist circumference, and cause-speci

299 ystolic blood pressure, body mass index, and waist-to-hip ratio; respectively.

300 ants and eight physiological traits: height, waist, weight, waist-hip ratio, body mass index, fasting