ライフサイエンスコーパス: waist circumference

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

2 fat by computed tomography scan (in lieu of waist circumference).

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

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

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

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

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

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

9 g age, but increased with increasing BMI and waist circumference.

10 more pronounced in individuals with a normal waist circumference.

11 102 cm in men but not in those with a larger waist circumference.

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

13 Obesity was determined by waist circumference.

14 unidentified imprinted locus associated with waist circumference.

15 nonsignificant after adjustment for BMI and waist circumference.

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 diposity alleles were associated with higher waist circumference (0.454 cm [0.267, 0.641] 50% vs. 50%

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

19 0.28; 95% CI: -0.42, -0.14; P = 0.0001), and waist circumference (-0.63 cm; 95% CI: -1.11, -0.16 cm;

20 TL: BMI -0.00478 (95% CI -0.00749--0.00206), waist circumference -0.00211 (95% CI -0.00325--0.000969)

21 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

22 reductions in body weight (-0.8 to -1.2 kg), waist circumference (-1.1 to -1.9 cm), and mean arterial

23 igher values of 1.32 (95% CI, 1.25-1.41) for waist circumference, 1.11 (95% CI, 1.08-1.14) for waist/

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

25 The diets similarly reduced waist circumference (11-13 cm), abdominal subcutaneous f

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

27 n of bodyweight (-4.85 [-8.21 to -1.48]) and waist circumference (-3.31 [-5.95 to -0.67]) than partic

28 8 years), body mass index (BMI) (2-8 years), waist circumference (4-8 years), and body fat (8 years).

29 Reductions in waist circumference (-4.1 cm; 95% CI, -6.0 to -2.3 cm),

30 5 trials on percentage body fat, 4 trials on waist circumference, 4 trials on fasting plasma glucose,

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

32 (-7.6 +/- 0.3 compared with 0.4 +/- 0.5 kg), waist circumference (-6.2 +/- 0.4 compared with 0.9 +/-

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

34 BMI (25.0 [21.2-29.3] vs 23.1 [19.5-27.6]), waist circumference (83.0 [73.5-95.4] vs 79.0 [68.5-91.0

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

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

37 l change (Delta) in body weight (BW), WC, or waist circumference adjusted for BMI (WCBMI) and possibl

38 arge meta-analysis of waist-to-hip ratio and waist circumference adjusted for body mass index (BMI),

39 ntal caries and restorations, and obesity by waist circumference (adjusted for snacking and sex).

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

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

42 When stratified by waist circumference, ALA continued to be inversely assoc

43 inflammatory markers in the blood as well as waist circumference and % body fat were lower post inter

44 ignificant differences in the predicted mean waist circumference and BMI between the low- and high-ex

45 nitrate, respectively) had slower growth in waist circumference and BMI but not height.

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

47 iomarkers were associated with reductions in waist circumference and BMI.

48 ed with abnormal LV geometry, and increasing waist circumference and body fat were associated with wo

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

50 les <0.0001] and with further adjustment for waist circumference and body mass index [1.26 (1.07, 1.4

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

52 Waist circumference and fasting metabolic laboratory par

53 o be stronger for hip circumference than for waist circumference and for fat-free mass than for fat m

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

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

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

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

58 We observed similar associations for both waist circumference and percent body fat.

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

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

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

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

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

64 Conversely, after adjustment for BMI, waist circumference and waist-to-height ratio were signi

65 ncing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted

66 /-0.08, and 80% had central obesity based on waist circumference and WHR criteria.

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

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

69 increase of both systolic blood pressure and waist circumference, and a reduction in the probability

70 rement may be beneficial for blood pressure, waist circumference, and alcohol consumption in the Chin

71 of dietary pulse consumption on body weight, waist circumference, and body fat by conducting a system

72 Increasing body mass index, waist circumference, and body fat were associated with g

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

74 Es, particularly BDE-153, and decreased BMI, waist circumference, and body fat.

75 ibitors and anthropometric measures [height, waist circumference, and body mass index (BMI)] during a

76 , smoking, alcohol, physical activity, diet, waist circumference, and body mass index.

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

78 ures were associated with lower BMI z-score, waist circumference, and fat mass in boys during early c

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

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

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

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

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

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

85 We measured child body mass index (BMI), waist circumference, and percent body fat at 8 y of age.

86 Body mass index (weight (kg)/height (m)2), waist circumference, and percent body fat were measured

87 ne the relationship between body mass index, waist circumference, and percent body fat with conventio

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

89 index (BMI), BMI z score, body composition, waist circumference, and percentage body fat] in childre

90 between 3 fatness measures (body mass index, waist circumference, and percentage of body fat) and the

91 smoking status, frequency of dental visits, waist circumference, and recreational physical activity.

92 outcome measures were changes in bodyweight, waist circumference, and self-reported target behaviours

93 8 (6-11) years were assessed: BMI, fat mass, waist circumference, and skinfold thickness.

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

95 ubjects, after adjusting for site, age, sex, waist circumference, and sleep duration (P = 0.06 for et

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

97 e standard deviation higher body mass index, waist circumference, and waist-hip ratio gave RRs of 1.2

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

99 mellitus, glycohemoglobin, body mass index, waist circumference, and waist:hip ratio).

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

101 ucose, glycated haemoglobin (HbA1c), weight, waist circumference, anxiety, quality of life, and daily

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

103 Although high BMI and waist circumference, as estimates of total and abdominal

104 I), a genetic predisposition score including waist circumference-associated single nucleotide polymor

105 A decrease in waist circumference at 4-8 years was observed with a 10-

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

107 ssed at ages 5 and 7 years, and fat mass and waist circumference at age 7.

108 s were adjusted for age, sex, ethnicity, and waist circumference at baseline (plus baseline ISI for 1

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

110 ith sedentary time (B = 4.04, P = 0.006) and waist circumference (B = 1.59, P < 0.001), whereas waist

111 ct of birth weight on sedentary time through waist circumference (B: 1.30; 95% bias-corrected CI: 0.9

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

113 er BMI (beta -0.22 kg/m(2), -0.25 to -0.20), waist circumference (beta -0.54 cm, -0.61 to -0.48), and

114 MI (beta 0.19 kg/m(2), 95% CI 0.14 to 0.24), waist circumference (beta 0.41 cm, 0.28 to 0.54), and wh

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

116 95% CI: -0.60, -0.13) at 2-8 years, smaller waist circumference (beta = -1.81 cm; 95% CI: -3.13, -0.

117 95% CI: -2.91, -0.34, n = 142), and smaller waist circumference (beta = -2.02; 95% CI: -3.71, -0.32,

118 49; 95% CI 1.30-4.77), a steeper increase of waist circumference (beta=2.41; 95% CI 1.19-3.63) and in

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

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

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

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

123 Waist circumference, body mass index, fasting plasma glu

124 ic blood pressure, diastolic blood pressure, waist circumference, body mass index, smoking status, an

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

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

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

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

129 adiposity (body weight, body mass index, or waist circumference), cases of T2D, cases of cardiovascu

130 index z score (2.0 versus 1.6, P < 0.0001), waist circumference centile (96th versus 90th, P < 0.000

131 Waist circumference centile was associated with portal i

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

133 rther accounting for body mass index change, waist circumference change, or respective abdominal adip

134 ndicators of body-mass index (BMI; kg/m(2)), waist circumference (cm), whole body fat (kg), and obesi

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

136 concentrations as well as blood pressure and waist circumference did not differ significantly between

137 centrations, eating behaviors and changes in waist circumference during follow-up.

138 eline and 12 and 24 mo included body weight, waist circumference, fat mass (FM), fat-free mass (FFM),

139 Body mass index, waist circumference, fat percentage, and glycated hemogl

140 t height, body composition (body-mass index, waist circumference, fat, and lean mass), and cardiometa

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

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

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

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

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

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

147 Central obesity was defined as a waist circumference greater than 90 cm in men and greate

148 ity such as body mass index >/= 30 kg/m(2) , waist circumference >/=102 cm or increased parietal wall

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

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

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

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

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

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

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

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

157 ifestyle factors, body mass index (BMI), and waist circumference, higher omentin concentrations were

158 In addition, the D group reduced BMI, waist circumference, hip circumference, and body fat per

159 -shaped association, whereas height, weight, waist circumference, hip circumference, fat mass, and fa

160 = 1.35, 95%CI: 1.13-1.61; Ptrend < 0.0001), waist circumference (HR = 1.66, 95%CI: 1.39-1.99; Ptrend

161 When high waist circumference (HWC), a measurement of adult obesit

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

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

164 Higher waist circumference in adulthood is an especially strong

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

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

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

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

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

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

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

172 were similar if adjustment was performed for waist circumference instead of BMI or if additional adju

173 as since been validated in many studies, and waist circumference is now a criterion for the diagnosis

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

175 +/- 1.56; HF: 2.97 +/- 1.02; P = 0.029) and waist circumference (LF: 9.36 +/- 4.02 cm; HF: 7.86 +/-

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

177 -0.02)] with the HOMA-IR in subjects with a waist circumference </=88 cm in women or </=102 cm in me

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

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

180 .80 kg (95% CI: -1.61, 0 kg), P = 0.05], and waist circumference [MD: -2.08 cm (95% CI: -3.97, -0.20

181 Additionally, in separate models, waist circumference measurements (using the Internationa

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

183 Complete case sample sizes were 401 917 (waist circumference models), 401 435 (BMI), and 395 640

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

185 (odds ratio, 4.90; 95% CI, 1.06-22.63), and waist circumference (odds ratio, 1.24; 95% CI, 1.00-1.55

186 y obese men, dietary weight loss targeting a waist circumference of <102 cm improved retinal microvas

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

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

189 Central obesity, defined by increased waist circumference or waist:hip ratio (WHR), is associa

190 syndrome revealed associations for elevated waist circumference (OR 2.84, 95% CI 1.35 to 5.99) and e

191 le, body fat percentage, skinfold thickness, waist circumference, or prevalence of overweight or obes

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

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

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

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

196 Waist circumference (P = 0.03), neck circumference (NC,

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

198 3.3% vs. 17.1 in controls, p = 0.02), higher waist circumference (prevalence risk ratio 83.3/20.3, 4.

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

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

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

202 oss was indifferent, exercise attenuated the waist circumference rebound with the greatest effect in

203 ciation was accounted for mostly by attained waist circumference (reduction of 61%) and by the biomar

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

205 t the P wave was genetically correlated with waist circumference (rG=0.47; P=0.02).

206 s index (BMI): rg = 0.20, P = 3.12 x 10(-9); waist circumference: rg = 0.20, P = 2.12 x 10(-7)).

207 463 in CTRB1) and with birthweight and adult waist circumference (rs12704673 in CALCR).

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

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

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

211 After adjusting for age at enrollment, race, waist circumference standardized by body mass index, cur

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

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

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

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

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

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

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

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

220 Metabolic traits such as waist circumference, triglyceride, high-density lipoprot

221 Metabolic traits such as waist circumference, triglyceride, high-density lipoprot

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

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

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

225 ciated with blood pressure, body mass index, waist circumference, triglycerides, type-2 diabetes mell

226 these factors related to changes in BMI and waist circumference using econometric fixed-effects mode

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

228 ung cancer risk (for the highest category of waist circumference vs. the lowest, hazard ratio = 1.25,

229 ese three lncRNAs and body mass index (BMI), waist circumference, waist to hip ratio and fasting insu

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

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

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

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

234 and height, weight, body mass index, hip and waist circumference, waist-to-hip ratio, and bioelectric

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

236 ciations with measures of central adiposity (waist circumference, waist-to-hip ratio, and waist-to-he

237 F risk for 1-SD increases in epicardial fat, waist circumference, waist/hip ratio, and body mass inde

238 (2) = 26%, n = 3), and per 10 cm increase in waist circumference was 1.13 (95% CI 1.02-1.25, I(2) = 4

239 ummary relative risk for a 10-cm increase in waist circumference was 1.29 (95% confidence interval, 1

240 Mean body mass index was 30.8+/-7.1 kg/m(2), waist circumference was 102+/-17 cm, WHR was 0.91+/-0.08

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

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

243 95% bias-corrected CI: 0.94, 1.72), and when waist circumference was controlled for, the effect of bi

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

245 similar in both groups, but the reduction in waist circumference was higher in the MED/LC group (-6.9

246 Waist circumference was measured in units of 0.1 cm foll

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

248 circumference (B = 1.59, P < 0.001), whereas waist circumference was positively associated with seden

249 Waist circumference was strongly related to mortality an

250 associations were generally consistent when waist circumference was used as the measure of adiposity

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

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

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

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

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

256 ervals (CI) = -0.012; 0.002), p = 0.190], or waist circumference (WC) and sleep duration [(unstandard

257 sociated with abdominal obesity, measured by waist circumference (WC) and waist-hip ratio (WHR), have

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

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

260 ass index (FMI), percent body fat (%BF), and waist circumference (WC) at 7 years.

261 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

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

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

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

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

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

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

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

269 the age- and sex-specific z-scores for BMI, waist circumference (WC), and blood pressure (BP) (n app

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

271 analysis of baseline body mass index (BMI), waist circumference (WC), and type II diabetes mellitus

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

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

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

275 t are associated with body mass index (BMI), waist circumference (WC), or the waist-to-hip ratio adju

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

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

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

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

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

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

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

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

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

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

286 = 0.93; 95% confidence interval = 0.89-0.96; waist circumference (WC): OR per 10 cm = 0.81 (0.69-0.96

287 iet quality, and adiposity (body mass index, waist circumference, weight status, and central weight s

288 ctions in triglycerides, blood pressure, and waist circumference were also reported.

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

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

291 Both BMI and waist circumference were inversely associated [regressio

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

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

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

295 Trends for waist circumference were similar.

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

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

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

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

300 Ox-LDL mediated 13.9% of the association of waist circumference with triglycerides and only 1-3% of