ライフサイエンスコーパス: waist circumference

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

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

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

4 more pronounced in individuals with a normal waist circumference.

5 102 cm in men but not in those with a larger waist circumference.

6 effects on LDL cholesterol, bodyweight, and waist circumference.

7 nt dosage effect was observed for weight and waist circumference.

8 a subset of traits with body mass index and waist circumference.

9 ncentrations were positively correlated with waist circumference.

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

11 index (BMI) (weight (kg)/height (m)(2)) and waist circumference.

12 l relationships with mean changes in BMI and waist circumference.

13 iations were also found when controlling for waist circumference.

14 those aged at least 60 years or with a large waist circumference.

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

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

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

18 ho did have coronary heart disease and large waist circumferences.

19 and higher body weight (0.30 kg, 0.18-0.43), waist circumference (0.32 cm, 0.16-0.47), plasma insulin

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

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

22 t mass (-1.10 kg; 95% CI: -1.77, -0.44), and waist circumference (-0.83 cm; 95% CI: -1.29, -0.37).

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

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

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

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

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

28 laining, together with fasting C-peptide and waist circumference, 21% of the variance in PAI-1.

29 isk of obesity (26%), lower risk of elevated waist circumference (29%), and lower risk of metabolic s

30 reases occurred in weight (-1.1 +/- 0.5 kg), waist circumference (-3.1 +/- 1.4 cm), diastolic blood p

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

32 8 years), body mass index (BMI) (2-8 years), waist circumference (4-8 years), and body fat (8 years).

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

34 g], body mass index (in kg/m(2): both -2.8), waist circumference [-4.9 (-6.7, -2.9) compared with -4.

35 f beta-cell function), or MVPA (2.4% smaller waist circumference, 4.4% higher high-density lipoprotei

36 (-7.6 +/- 0.3 compared with 0.4 +/- 0.5 kg), waist circumference (-6.2 +/- 0.4 compared with 0.9 +/-

37 mpared with -5.6 (-7.2, -5.0) kg; P = 0.05], waist circumference [-6.6 (-9.3, -4.3) compared with -2.

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

39 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

40 kistani origin, aged 35 years or older, with waist circumference 90 cm or greater in men or 80 cm or

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

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

43 aweight), waist circumference (DeltaWC), and waist circumference adjusted for body mass index (BMI) (

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

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

46 r HOMA-IR showed reduced body mass index and waist circumference after consumption of the LFHCC contr

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

48 dy mass index, fat mass, fat percentage, and waist circumference (all P<.01) but not elevated metabol

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

50 Waist circumference and 2-hour glucose level (primary ou

51 86 overweight/obese individuals with a large waist circumference and any other component of the metab

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

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

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

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

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

57 ver, because of the high correlation between waist circumference and body mass index (BMI; in kg/m(2)

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

59 primary outcome measures were the change in waist circumference and body mass index z score.

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

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

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

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

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 es and those with higher body mass index and waist circumference and was not explained simply by incr

67 /-0.08, and 80% had central obesity based on waist circumference and WHR criteria.

68 nthropometric data (height, weight, BMI, and waist circumference) and food intake (by 3-day weighed f

69 d with body-mass index or central adiposity (waist circumference), and the trajectory of body-mass in

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

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

72 Weight, height, waist circumference, and body fat (bioimpedance) were me

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

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

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

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

77 ed study nurses measured weight, height, and waist circumference, and body mass index was calculated.

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

79 Changes in body mass index, waist circumference, and fat mass during the follow-up p

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

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

82 th status as estimated from body mass index, waist circumference, and insulin resistance assessed usi

83 eter, cerebral WM microstructural integrity, waist circumference, and insulin resistance.

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

85 ble risk factors, such as physical activity, waist circumference, and mortality, could not be studied

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

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

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

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

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

91 ing pregnancy with body mass index, obesity, waist circumference, and percentage of body fat in 9-yea

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

93 tion among overweight, obesity, weight gain, waist circumference, and periodontitis are reviewed.

94 up improved significantly in dietary habits, waist circumference, and physical activity in comparison

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

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

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

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

99 h additional adjustment for body mass index, waist circumference, and sleep duration, AHIREM was only

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

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

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

103 sthma, we measured BMI, percent of body fat, waist circumference, and waist-to-hip ratio.

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

105 ose, and insulin concentrations; bodyweight; waist circumference; and prevalent and incident type 2 d

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

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

108 r, in women, most of the secular increase in waist circumference appeared to be independent of change

109 elated loci) on measured body mass index and waist circumference are partly mediated through higher l

110 her they were consistent with information on waist circumference, arm circumference, and leg lengths,

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

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

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

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

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

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

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

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

119 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

120 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

121 95% CI: -0.60, -0.13) at 2-8 years, smaller waist circumference (beta = -1.81 cm; 95% CI: -3.13, -0.

122 95% CI: -2.91, -0.34, n = 142), and smaller waist circumference (beta = -2.02; 95% CI: -3.71, -0.32,

123 49; 95% CI 1.30-4.77), a steeper increase of waist circumference (beta=2.41; 95% CI 1.19-3.63) and in

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

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

126 clinical measures (body mass index, weight, waist circumference, blood pressure, lipids, blood gluco

127 ho had complete data on the MetS components (waist circumference, blood pressure, triglycerides, gluc

128 term, difference = 8.0%, 95% CI: 2.4, 13.8), waist circumferences, blood pressure (for those born ear

129 e monitor indices, total daily insulin, BMI, waist circumference, body composition, blood pressure, a

130 Waist circumference, body mass index, fasting plasma glu

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

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

133 86 and carbohydrate intake on total mass and waist circumference (both P </= 0.01).

134 circumference z score, and odds of increased waist circumference but were less consistent for percent

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

136 less likely to increase their BMI values and waist circumference by 10% or greater compared with thos

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

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

139 Waist circumference centile was associated with portal i

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

141 Waist circumference changes were -0.2 (95% CI, -1.7 to 1

142 s from regression coefficients for age, sex, waist circumference, cigarette smoking, and family histo

143 = 39.5 + 0.665 body weight (BW; kg) - 0.185 waist circumference (cm) - 0.418 hip circumference (cm)

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

145 Intention-to-treat analyses showed that waist circumference declined significantly in the interv

146 e (NDS) and changes in weight (Deltaweight), waist circumference (DeltaWC), and waist circumference a

147 education, smoking status, alcohol drinking, waist circumference, dental visit frequency, reasons of

148 ciodemographic characteristics, baseline BMI/waist circumference, depressive symptoms, and health beh

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

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

151 ely 0.9), it is uncertain if these trends in waist circumference exceed those expected on the basis o

152 no significant time x group interaction for waist circumference, fasting plasma glucose, and lipid p

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

154 Other outcomes, including HbA1c, weight, waist circumference, fat mass, lean mass, blood pressure

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

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

157 ns in adjusted analyses between BMI, hip and waist circumferences, fat mass/height(2), and risk of de

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

159 and significantly stronger associations with waist circumference for rs6234-rs6235.

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

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

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

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

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

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

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

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

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

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

170 = 1.35, 95%CI: 1.13-1.61; Ptrend < 0.0001), waist circumference (HR = 1.66, 95%CI: 1.39-1.99; Ptrend

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

172 nset-diabetes-of the young 3/MODY3, obesity, waist circumference, hypertension, hypercholesterolemia,

173 Higher waist circumference in adulthood is an especially strong

174 UFR, varied inversely with BMI category and waist circumference in all age groups.

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

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

177 combined training reduced total body fat and waist circumference in obese adolescents.

178 esity cutoffs (OR, 2.38; 95% CI, 1.06-5.34), waist circumference in the 85th percentile or greater (O

179 icant reduction was seen in the risk of high waist circumference in the intervention individuals (rel

180 ent of changes in these covariates, the mean waist circumference increased by 0.2 cm in men and 2.4 c

181 The mean waist circumference increased by approximately 2 cm (in

182 ex, waist:hip ratio, waist:height ratio, and waist circumference, increased with increasing levels of

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

184 men but not men, the recent secular trend in waist circumference is greater than what would be expect

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

186 +/- 1.56; HF: 2.97 +/- 1.02; P = 0.029) and waist circumference (LF: 9.36 +/- 4.02 cm; HF: 7.86 +/-

187 tor of glycated hemoglobin A1c reduction was waist circumference, lower baseline waist associating wi

188 -0.02)] with the HOMA-IR in subjects with a waist circumference </=88 cm in women or </=102 cm in me

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

190 h/week), and having no abdominal adiposity (waist circumference <95 cm).

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

192 rweight, obesity, weight gain, and increased waist circumference may be risk factors for development

193 .80 kg (95% CI: -1.61, 0 kg), P = 0.05], and waist circumference [MD: -2.08 cm (95% CI: -3.97, -0.20

194 the control diets (random-effects model) for waist circumference (mean difference: -2.38 cm; 95% CI:

195 who consumed less added sugars had a higher waist circumference [mean difference (95% CI): 1.07 cm (

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

197 ars), BMI (<25 kg/m(2)vs >/=25 kg/m(2)), and waist circumference (men <102 cm vs >/=102 cm; women <88

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

199 n = 509; P = .038) and satiety with abnormal waist circumference (n = 271; P = .016).

200 er likelihood of 10% or greater increases in waist circumference (odds ratio = 1.62, 95% confidence i

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

202 observation was most pronounced for elevated waist circumference (odds ratio, 1.79; 95% CI, 1.54-2.09

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

204 index (in kg/m(2)) of 30.2 (22.6-47.3), and waist circumference of 100 cm (80-138 cm) were randomly

205 Several studies showed that the waist circumference of US adults has increased over the

206 yceride weighted GRS and body mass index and waist circumference on fasting triglyceride levels in In

207 ationships were associated with increases in waist circumference only.

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

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

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

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

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

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

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

215 ss index (p for interaction = 1.50x10-3) and waist circumference (p for interaction = 7.49x10-9).

216 rolled for demographics, body mass index and waist circumference percentiles, and history of using pr

217 3.3% vs. 17.1 in controls, p = 0.02), higher waist circumference (prevalence risk ratio 83.3/20.3, 4.

218 ss index (r = 0.482, 95%CI: 0.445~0.518) and waist circumference (r = 0.466, 95%CI: 0.432~0.500), exc

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

220 onship between time to referral and baseline waist circumference (r=0.5, P=0.001), body mass index (r

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

222 ge, sex, smoking, alcohol use, low-fat diet, waist circumference, recent weight gain (>5 kg), elevate

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

224 te the associations between body mass index, waist circumference, relative weight change, and PA leve

225 d on the basis of sex, age, body mass index, waist circumference, resting heart rate, physical activi

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

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

228 P = 0.04), fat mass (rhoG = 0.34, P = 0.02), waist circumference (rhoG = 0.42, P = 0.003), and waist-

229 After adjusting for age, race, field center, waist circumference, smoking, alcohol, physical activity

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

231 ation patterns were inconsistent for age and waist-circumference subgroups.

232 ividuals younger than 60 years or with a low waist circumference than in those aged at least 60 years

233 (BMI), all but one subject had both arm and waist circumferences that were greater than the sex- and

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

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

236 study supports the simple message "Keep your waist circumference to less than half your height".

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

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

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

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

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

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

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

244 Body mass index, waist circumference, waist to height ratio, systolic BP,

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

246 metabolic outcomes such as body mass index, waist circumference, waist-hip ratio (WHR), high- and lo

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

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

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

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

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

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

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

254 95% bias-corrected CI: 0.94, 1.72), and when waist circumference was controlled for, the effect of bi

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

256 We assessed whether the recent trend in waist circumference was independent of changes in BMI, a

257 Waist circumference was measured in units of 0.1 cm foll

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

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

260 (<100 counts/min), and abdominal adiposity (waist circumference) was measured according to WHO proce

261 We found that abdominal obesity (waist circumference) was the strongest MetS component re

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

263 prepregnancy fat distribution, described by waist circumference (WC) and body mass index (BMI), is a

264 hese same studies also considered changes in waist circumference (WC) and showed that higher yogurt c

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

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

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

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

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

270 ast milk, and children's weight, height, and waist circumference (WC) were measured at clinical exami

271 Height, weight, and waist circumference (WC) were measured in the clinic.

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

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

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

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

276 ue with concurrent body mass index (BMI) and waist circumference (WC), and BMI change, adjusting for

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

278 ity outcomes [body mass index (BMI) z-score, waist circumference (WC), and rate of obesity] in childr

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

280 ry calcium on change in body weight (BW) and waist circumference (WC), but the results are inconsiste

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

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

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

284 Changes in waist circumference (WC), total abdominal adipose tissue

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

286 ass index (BMI), percent body fat (PBF), and waist circumference (WC).

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 Body weight, BMI and waist circumference were assessed weekly and body compos

290 BMI, percent of body fat, and waist circumference were associated with increased odds

291 d sex in a linear mixed model, reductions in waist circumference were greater in the LALI (-3.9 cm [9

292 Both BMI and waist circumference were inversely associated [regressio

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

294 Reductions in waist circumference were particularly significant for ch

295 spring body mass index (BMI; in kg/m(2)) and waist circumference were recorded at follow-up (n = 695-

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

297 le respondent, including height, weight, and waist circumference, were collected.

298 The association of baseline waist circumference with glycated hemoglobin A1c reducti

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

300 ts were similar for body mass index z score, waist circumference z score, and odds of increased waist